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  "sourcesContent": ["/**\n * CommanderError class\n */\nclass CommanderError extends Error {\n  /**\n   * Constructs the CommanderError class\n   * @param {number} exitCode suggested exit code which could be used with process.exit\n   * @param {string} code an id string representing the error\n   * @param {string} message human-readable description of the error\n   */\n  constructor(exitCode, code, message) {\n    super(message);\n    // properly capture stack trace in Node.js\n    Error.captureStackTrace(this, this.constructor);\n    this.name = this.constructor.name;\n    this.code = code;\n    this.exitCode = exitCode;\n    this.nestedError = undefined;\n  }\n}\n\n/**\n * InvalidArgumentError class\n */\nclass InvalidArgumentError extends CommanderError {\n  /**\n   * Constructs the InvalidArgumentError class\n   * @param {string} [message] explanation of why argument is invalid\n   */\n  constructor(message) {\n    super(1, 'commander.invalidArgument', message);\n    // properly capture stack trace in Node.js\n    Error.captureStackTrace(this, this.constructor);\n    this.name = this.constructor.name;\n  }\n}\n\nexports.CommanderError = CommanderError;\nexports.InvalidArgumentError = InvalidArgumentError;\n", "const { InvalidArgumentError } = require('./error.js');\n\nclass Argument {\n  /**\n   * Initialize a new command argument with the given name and description.\n   * The default is that the argument is required, and you can explicitly\n   * indicate this with <> around the name. 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'...' : '');\n\n  return arg.required ? '<' + nameOutput + '>' : '[' + nameOutput + ']';\n}\n\nexports.Argument = Argument;\nexports.humanReadableArgName = humanReadableArgName;\n", "const { humanReadableArgName } = require('./argument.js');\n\n/**\n * TypeScript import types for JSDoc, used by Visual Studio Code IntelliSense and `npm run typescript-checkJS`\n * https://www.typescriptlang.org/docs/handbook/jsdoc-supported-types.html#import-types\n * @typedef { import(\"./argument.js\").Argument } Argument\n * @typedef { import(\"./command.js\").Command } Command\n * @typedef { import(\"./option.js\").Option } Option\n */\n\n// Although this is a class, methods are static in style to allow override using subclass or just functions.\nclass Help {\n  constructor() {\n    this.helpWidth = undefined;\n    this.minWidthToWrap = 40;\n    this.sortSubcommands = false;\n    this.sortOptions = false;\n    this.showGlobalOptions = false;\n  }\n\n  /**\n   * prepareContext is called by Commander after applying overrides from `Command.configureHelp()`\n   * and just before calling `formatHelp()`.\n   *\n   * Commander just uses the helpWidth and the rest is provided for optional use by more complex subclasses.\n   *\n   * @param {{ error?: boolean, helpWidth?: number, outputHasColors?: boolean }} contextOptions\n   */\n  prepareContext(contextOptions) {\n    this.helpWidth = this.helpWidth ?? contextOptions.helpWidth ?? 80;\n  }\n\n  /**\n   * Get an array of the visible subcommands. 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' [options]' : '') + // simplistic check for non-help option\n      (args ? ' ' + args : '')\n    );\n  }\n\n  /**\n   * Get the option term to show in the list of options.\n   *\n   * @param {Option} option\n   * @returns {string}\n   */\n\n  optionTerm(option) {\n    return option.flags;\n  }\n\n  /**\n   * Get the argument term to show in the list of arguments.\n   *\n   * @param {Argument} argument\n   * @returns {string}\n   */\n\n  argumentTerm(argument) {\n    return argument.name();\n  }\n\n  /**\n   * Get the longest command term length.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {number}\n   */\n\n  longestSubcommandTermLength(cmd, helper) {\n    return helper.visibleCommands(cmd).reduce((max, command) => {\n      return Math.max(\n        max,\n        this.displayWidth(\n          helper.styleSubcommandTerm(helper.subcommandTerm(command)),\n        ),\n      );\n    }, 0);\n  }\n\n  /**\n   * Get the longest option term length.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {number}\n   */\n\n  longestOptionTermLength(cmd, helper) {\n    return helper.visibleOptions(cmd).reduce((max, option) => {\n      return Math.max(\n        max,\n        this.displayWidth(helper.styleOptionTerm(helper.optionTerm(option))),\n      );\n    }, 0);\n  }\n\n  /**\n   * Get the longest global option term length.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {number}\n   */\n\n  longestGlobalOptionTermLength(cmd, helper) {\n    return helper.visibleGlobalOptions(cmd).reduce((max, option) => {\n      return Math.max(\n        max,\n        this.displayWidth(helper.styleOptionTerm(helper.optionTerm(option))),\n      );\n    }, 0);\n  }\n\n  /**\n   * Get the longest argument term length.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {number}\n   */\n\n  longestArgumentTermLength(cmd, helper) {\n    return helper.visibleArguments(cmd).reduce((max, argument) => {\n      return Math.max(\n        max,\n        this.displayWidth(\n          helper.styleArgumentTerm(helper.argumentTerm(argument)),\n        ),\n      );\n    }, 0);\n  }\n\n  /**\n   * Get the command usage to be displayed at the top of the built-in help.\n   *\n   * @param {Command} cmd\n   * @returns {string}\n   */\n\n  commandUsage(cmd) {\n    // Usage\n    let cmdName = cmd._name;\n    if (cmd._aliases[0]) {\n      cmdName = cmdName + '|' + cmd._aliases[0];\n    }\n    let ancestorCmdNames = '';\n    for (\n      let ancestorCmd = cmd.parent;\n      ancestorCmd;\n      ancestorCmd = ancestorCmd.parent\n    ) {\n      ancestorCmdNames = ancestorCmd.name() + ' ' + ancestorCmdNames;\n    }\n    return ancestorCmdNames + cmdName + ' ' + cmd.usage();\n  }\n\n  /**\n   * Get the description for the command.\n   *\n   * @param {Command} cmd\n   * @returns {string}\n   */\n\n  commandDescription(cmd) {\n    // @ts-ignore: because overloaded return type\n    return cmd.description();\n  }\n\n  /**\n   * Get the subcommand summary to show in the list of subcommands.\n   * (Fallback to description for backwards compatibility.)\n   *\n   * @param {Command} cmd\n   * @returns {string}\n   */\n\n  subcommandDescription(cmd) {\n    // @ts-ignore: because overloaded return type\n    return cmd.summary() || cmd.description();\n  }\n\n  /**\n   * Get the option description to show in the list of options.\n   *\n   * @param {Option} option\n   * @return {string}\n   */\n\n  optionDescription(option) {\n    const extraInfo = [];\n\n    if (option.argChoices) {\n      extraInfo.push(\n        // use stringify to match the display of the default value\n        `choices: ${option.argChoices.map((choice) => JSON.stringify(choice)).join(', ')}`,\n      );\n    }\n    if (option.defaultValue !== undefined) {\n      // default for boolean and negated more for programmer than end user,\n      // but show true/false for boolean option as may be for hand-rolled env or config processing.\n      const showDefault =\n        option.required ||\n        option.optional ||\n        (option.isBoolean() && typeof option.defaultValue === 'boolean');\n      if (showDefault) {\n        extraInfo.push(\n          `default: ${option.defaultValueDescription || JSON.stringify(option.defaultValue)}`,\n        );\n      }\n    }\n    // preset for boolean and negated are more for programmer than end user\n    if (option.presetArg !== undefined && option.optional) {\n      extraInfo.push(`preset: ${JSON.stringify(option.presetArg)}`);\n    }\n    if (option.envVar !== undefined) {\n      extraInfo.push(`env: ${option.envVar}`);\n    }\n    if (extraInfo.length > 0) {\n      return `${option.description} (${extraInfo.join(', ')})`;\n    }\n\n    return option.description;\n  }\n\n  /**\n   * Get the argument description to show in the list of arguments.\n   *\n   * @param {Argument} argument\n   * @return {string}\n   */\n\n  argumentDescription(argument) {\n    const extraInfo = [];\n    if (argument.argChoices) {\n      extraInfo.push(\n        // use stringify to match the display of the default value\n        `choices: ${argument.argChoices.map((choice) => JSON.stringify(choice)).join(', ')}`,\n      );\n    }\n    if (argument.defaultValue !== undefined) {\n      extraInfo.push(\n        `default: ${argument.defaultValueDescription || JSON.stringify(argument.defaultValue)}`,\n      );\n    }\n    if (extraInfo.length > 0) {\n      const extraDescription = `(${extraInfo.join(', ')})`;\n      if (argument.description) {\n        return `${argument.description} ${extraDescription}`;\n      }\n      return extraDescription;\n    }\n    return argument.description;\n  }\n\n  /**\n   * Generate the built-in help text.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {string}\n   */\n\n  formatHelp(cmd, helper) {\n    const termWidth = helper.padWidth(cmd, helper);\n    const helpWidth = helper.helpWidth ?? 80; // in case prepareContext() was not called\n\n    function callFormatItem(term, description) {\n      return helper.formatItem(term, termWidth, description, helper);\n    }\n\n    // Usage\n    let output = [\n      `${helper.styleTitle('Usage:')} ${helper.styleUsage(helper.commandUsage(cmd))}`,\n      '',\n    ];\n\n    // Description\n    const commandDescription = helper.commandDescription(cmd);\n    if (commandDescription.length > 0) {\n      output = output.concat([\n        helper.boxWrap(\n          helper.styleCommandDescription(commandDescription),\n          helpWidth,\n        ),\n        '',\n      ]);\n    }\n\n    // Arguments\n    const argumentList = helper.visibleArguments(cmd).map((argument) => {\n      return callFormatItem(\n        helper.styleArgumentTerm(helper.argumentTerm(argument)),\n        helper.styleArgumentDescription(helper.argumentDescription(argument)),\n      );\n    });\n    if (argumentList.length > 0) {\n      output = output.concat([\n        helper.styleTitle('Arguments:'),\n        ...argumentList,\n        '',\n      ]);\n    }\n\n    // Options\n    const optionList = helper.visibleOptions(cmd).map((option) => {\n      return callFormatItem(\n        helper.styleOptionTerm(helper.optionTerm(option)),\n        helper.styleOptionDescription(helper.optionDescription(option)),\n      );\n    });\n    if (optionList.length > 0) {\n      output = output.concat([\n        helper.styleTitle('Options:'),\n        ...optionList,\n        '',\n      ]);\n    }\n\n    if (helper.showGlobalOptions) {\n      const globalOptionList = helper\n        .visibleGlobalOptions(cmd)\n        .map((option) => {\n          return callFormatItem(\n            helper.styleOptionTerm(helper.optionTerm(option)),\n            helper.styleOptionDescription(helper.optionDescription(option)),\n          );\n        });\n      if (globalOptionList.length > 0) {\n        output = output.concat([\n          helper.styleTitle('Global Options:'),\n          ...globalOptionList,\n          '',\n        ]);\n      }\n    }\n\n    // Commands\n    const commandList = helper.visibleCommands(cmd).map((cmd) => {\n      return callFormatItem(\n        helper.styleSubcommandTerm(helper.subcommandTerm(cmd)),\n        helper.styleSubcommandDescription(helper.subcommandDescription(cmd)),\n      );\n    });\n    if (commandList.length > 0) {\n      output = output.concat([\n        helper.styleTitle('Commands:'),\n        ...commandList,\n        '',\n      ]);\n    }\n\n    return output.join('\\n');\n  }\n\n  /**\n   * Return display width of string, ignoring ANSI escape sequences. Used in padding and wrapping calculations.\n   *\n   * @param {string} str\n   * @returns {number}\n   */\n  displayWidth(str) {\n    return stripColor(str).length;\n  }\n\n  /**\n   * Style the title for displaying in the help. Called with 'Usage:', 'Options:', etc.\n   *\n   * @param {string} str\n   * @returns {string}\n   */\n  styleTitle(str) {\n    return str;\n  }\n\n  styleUsage(str) {\n    // Usage has lots of parts the user might like to color separately! Assume default usage string which is formed like:\n    //    command subcommand [options] [command] <foo> [bar]\n    return str\n      .split(' ')\n      .map((word) => {\n        if (word === '[options]') return this.styleOptionText(word);\n        if (word === '[command]') return this.styleSubcommandText(word);\n        if (word[0] === '[' || word[0] === '<')\n          return this.styleArgumentText(word);\n        return this.styleCommandText(word); // Restrict to initial words?\n      })\n      .join(' ');\n  }\n  styleCommandDescription(str) {\n    return this.styleDescriptionText(str);\n  }\n  styleOptionDescription(str) {\n    return this.styleDescriptionText(str);\n  }\n  styleSubcommandDescription(str) {\n    return this.styleDescriptionText(str);\n  }\n  styleArgumentDescription(str) {\n    return this.styleDescriptionText(str);\n  }\n  styleDescriptionText(str) {\n    return str;\n  }\n  styleOptionTerm(str) {\n    return this.styleOptionText(str);\n  }\n  styleSubcommandTerm(str) {\n    // This is very like usage with lots of parts! Assume default string which is formed like:\n    //    subcommand [options] <foo> [bar]\n    return str\n      .split(' ')\n      .map((word) => {\n        if (word === '[options]') return this.styleOptionText(word);\n        if (word[0] === '[' || word[0] === '<')\n          return this.styleArgumentText(word);\n        return this.styleSubcommandText(word); // Restrict to initial words?\n      })\n      .join(' ');\n  }\n  styleArgumentTerm(str) {\n    return this.styleArgumentText(str);\n  }\n  styleOptionText(str) {\n    return str;\n  }\n  styleArgumentText(str) {\n    return str;\n  }\n  styleSubcommandText(str) {\n    return str;\n  }\n  styleCommandText(str) {\n    return str;\n  }\n\n  /**\n   * Calculate the pad width from the maximum term length.\n   *\n   * @param {Command} cmd\n   * @param {Help} helper\n   * @returns {number}\n   */\n\n  padWidth(cmd, helper) {\n    return Math.max(\n      helper.longestOptionTermLength(cmd, helper),\n      helper.longestGlobalOptionTermLength(cmd, helper),\n      helper.longestSubcommandTermLength(cmd, helper),\n      helper.longestArgumentTermLength(cmd, helper),\n    );\n  }\n\n  /**\n   * Detect manually wrapped and indented strings by checking for line break followed by whitespace.\n   *\n   * @param {string} str\n   * @returns {boolean}\n   */\n  preformatted(str) {\n    return /\\n[^\\S\\r\\n]/.test(str);\n  }\n\n  /**\n   * Format the \"item\", which consists of a term and description. Pad the term and wrap the description, indenting the following lines.\n   *\n   * So \"TTT\", 5, \"DDD DDDD DD DDD\" might be formatted for this.helpWidth=17 like so:\n   *   TTT  DDD DDDD\n   *        DD DDD\n   *\n   * @param {string} term\n   * @param {number} termWidth\n   * @param {string} description\n   * @param {Help} helper\n   * @returns {string}\n   */\n  formatItem(term, termWidth, description, helper) {\n    const itemIndent = 2;\n    const itemIndentStr = ' '.repeat(itemIndent);\n    if (!description) return itemIndentStr + term;\n\n    // Pad the term out to a consistent width, so descriptions are aligned.\n    const paddedTerm = term.padEnd(\n      termWidth + term.length - helper.displayWidth(term),\n    );\n\n    // Format the description.\n    const spacerWidth = 2; // between term and description\n    const helpWidth = this.helpWidth ?? 80; // in case prepareContext() was not called\n    const remainingWidth = helpWidth - termWidth - spacerWidth - itemIndent;\n    let formattedDescription;\n    if (\n      remainingWidth < this.minWidthToWrap ||\n      helper.preformatted(description)\n    ) {\n      formattedDescription = description;\n    } else {\n      const wrappedDescription = helper.boxWrap(description, remainingWidth);\n      formattedDescription = wrappedDescription.replace(\n        /\\n/g,\n        '\\n' + ' '.repeat(termWidth + spacerWidth),\n      );\n    }\n\n    // Construct and overall indent.\n    return (\n      itemIndentStr +\n      paddedTerm +\n      ' '.repeat(spacerWidth) +\n      formattedDescription.replace(/\\n/g, `\\n${itemIndentStr}`)\n    );\n  }\n\n  /**\n   * Wrap a string at whitespace, preserving existing line breaks.\n   * Wrapping is skipped if the width is less than `minWidthToWrap`.\n   *\n   * @param {string} str\n   * @param {number} width\n   * @returns {string}\n   */\n  boxWrap(str, width) {\n    if (width < this.minWidthToWrap) return str;\n\n    const rawLines = str.split(/\\r\\n|\\n/);\n    // split up text by whitespace\n    const chunkPattern = /[\\s]*[^\\s]+/g;\n    const wrappedLines = [];\n    rawLines.forEach((line) => {\n      const chunks = line.match(chunkPattern);\n      if (chunks === null) {\n        wrappedLines.push('');\n        return;\n      }\n\n      let sumChunks = [chunks.shift()];\n      let sumWidth = this.displayWidth(sumChunks[0]);\n      chunks.forEach((chunk) => {\n        const visibleWidth = this.displayWidth(chunk);\n        // Accumulate chunks while they fit into width.\n        if (sumWidth + visibleWidth <= width) {\n          sumChunks.push(chunk);\n          sumWidth += visibleWidth;\n          return;\n        }\n        wrappedLines.push(sumChunks.join(''));\n\n        const nextChunk = chunk.trimStart(); // trim space at line break\n        sumChunks = [nextChunk];\n        sumWidth = this.displayWidth(nextChunk);\n      });\n      wrappedLines.push(sumChunks.join(''));\n    });\n\n    return wrappedLines.join('\\n');\n  }\n}\n\n/**\n * Strip style ANSI escape sequences from the string. In particular, SGR (Select Graphic Rendition) codes.\n *\n * @param {string} str\n * @returns {string}\n * @package\n */\n\nfunction stripColor(str) {\n  // eslint-disable-next-line no-control-regex\n  const sgrPattern = /\\x1b\\[\\d*(;\\d*)*m/g;\n  return str.replace(sgrPattern, '');\n}\n\nexports.Help = Help;\nexports.stripColor = stripColor;\n", "const { InvalidArgumentError } = require('./error.js');\n\nclass Option {\n  /**\n   * Initialize a new `Option` with the given `flags` and `description`.\n   *\n   * @param {string} flags\n   * @param {string} [description]\n   */\n\n  constructor(flags, description) {\n    this.flags = flags;\n    this.description = description || '';\n\n    this.required = flags.includes('<'); // A value must be supplied when the option is specified.\n    this.optional = flags.includes('['); // A value is optional when the option is specified.\n    // variadic test ignores <value,...> et al which might be used to describe custom splitting of single argument\n    this.variadic = /\\w\\.\\.\\.[>\\]]$/.test(flags); // The option can take multiple values.\n    this.mandatory = false; // The option must have a value after parsing, which usually means it must be specified on command line.\n    const optionFlags = splitOptionFlags(flags);\n    this.short = optionFlags.shortFlag; // May be a short flag, undefined, or even a long flag (if option has two long flags).\n    this.long = optionFlags.longFlag;\n    this.negate = false;\n    if (this.long) {\n      this.negate = this.long.startsWith('--no-');\n    }\n    this.defaultValue = undefined;\n    this.defaultValueDescription = undefined;\n    this.presetArg = undefined;\n    this.envVar = undefined;\n    this.parseArg = undefined;\n    this.hidden = false;\n    this.argChoices = undefined;\n    this.conflictsWith = [];\n    this.implied = undefined;\n  }\n\n  /**\n   * Set the default value, and optionally supply the description to be displayed in the help.\n   *\n   * @param {*} value\n   * @param {string} [description]\n   * @return {Option}\n   */\n\n  default(value, description) {\n    this.defaultValue = value;\n    this.defaultValueDescription = description;\n    return this;\n  }\n\n  /**\n   * Preset to use when option used without option-argument, especially optional but also boolean and negated.\n   * The custom processing (parseArg) is called.\n   *\n   * @example\n   * new Option('--color').default('GREYSCALE').preset('RGB');\n   * new Option('--donate [amount]').preset('20').argParser(parseFloat);\n   *\n   * @param {*} arg\n   * @return {Option}\n   */\n\n  preset(arg) {\n    this.presetArg = arg;\n    return this;\n  }\n\n  /**\n   * Add option name(s) that conflict with this option.\n   * An error will be displayed if conflicting options are found during parsing.\n   *\n   * @example\n   * new Option('--rgb').conflicts('cmyk');\n   * new Option('--js').conflicts(['ts', 'jsx']);\n   *\n   * @param {(string | string[])} names\n   * @return {Option}\n   */\n\n  conflicts(names) {\n    this.conflictsWith = this.conflictsWith.concat(names);\n    return this;\n  }\n\n  /**\n   * Specify implied option values for when this option is set and the implied options are not.\n   *\n   * The custom processing (parseArg) is not called on the implied values.\n   *\n   * @example\n   * program\n   *   .addOption(new Option('--log', 'write logging information to file'))\n   *   .addOption(new Option('--trace', 'log extra details').implies({ log: 'trace.txt' }));\n   *\n   * @param {object} impliedOptionValues\n   * @return {Option}\n   */\n  implies(impliedOptionValues) {\n    let newImplied = impliedOptionValues;\n    if (typeof impliedOptionValues === 'string') {\n      // string is not documented, but easy mistake and we can do what user probably intended.\n      newImplied = { [impliedOptionValues]: true };\n    }\n    this.implied = Object.assign(this.implied || {}, newImplied);\n    return this;\n  }\n\n  /**\n   * Set environment variable to check for option value.\n   *\n   * An environment variable is only used if when processed the current option value is\n   * undefined, or the source of the current value is 'default' or 'config' or 'env'.\n   *\n   * @param {string} name\n   * @return {Option}\n   */\n\n  env(name) {\n    this.envVar = name;\n    return this;\n  }\n\n  /**\n   * Set the custom handler for processing CLI option arguments into option values.\n   *\n   * @param {Function} [fn]\n   * @return {Option}\n   */\n\n  argParser(fn) {\n    this.parseArg = fn;\n    return this;\n  }\n\n  /**\n   * Whether the option is mandatory and must have a value after parsing.\n   *\n   * @param {boolean} [mandatory=true]\n   * @return {Option}\n   */\n\n  makeOptionMandatory(mandatory = true) {\n    this.mandatory = !!mandatory;\n    return this;\n  }\n\n  /**\n   * Hide option in help.\n   *\n   * @param {boolean} [hide=true]\n   * @return {Option}\n   */\n\n  hideHelp(hide = true) {\n    this.hidden = !!hide;\n    return this;\n  }\n\n  /**\n   * @package\n   */\n\n  _concatValue(value, previous) {\n    if (previous === this.defaultValue || !Array.isArray(previous)) {\n      return [value];\n    }\n\n    return previous.concat(value);\n  }\n\n  /**\n   * Only allow option value to be one of choices.\n   *\n   * @param {string[]} values\n   * @return {Option}\n   */\n\n  choices(values) {\n    this.argChoices = values.slice();\n    this.parseArg = (arg, previous) => {\n      if (!this.argChoices.includes(arg)) {\n        throw new InvalidArgumentError(\n          `Allowed choices are ${this.argChoices.join(', ')}.`,\n        );\n      }\n      if (this.variadic) {\n        return this._concatValue(arg, previous);\n      }\n      return arg;\n    };\n    return this;\n  }\n\n  /**\n   * Return option name.\n   *\n   * @return {string}\n   */\n\n  name() {\n    if (this.long) {\n      return this.long.replace(/^--/, '');\n    }\n    return this.short.replace(/^-/, '');\n  }\n\n  /**\n   * Return option name, in a camelcase format that can be used\n   * as an object attribute key.\n   *\n   * @return {string}\n   */\n\n  attributeName() {\n    if (this.negate) {\n      return camelcase(this.name().replace(/^no-/, ''));\n    }\n    return camelcase(this.name());\n  }\n\n  /**\n   * Check if `arg` matches the short or long flag.\n   *\n   * @param {string} arg\n   * @return {boolean}\n   * @package\n   */\n\n  is(arg) {\n    return this.short === arg || this.long === arg;\n  }\n\n  /**\n   * Return whether a boolean option.\n   *\n   * Options are one of boolean, negated, required argument, or optional argument.\n   *\n   * @return {boolean}\n   * @package\n   */\n\n  isBoolean() {\n    return !this.required && !this.optional && !this.negate;\n  }\n}\n\n/**\n * This class is to make it easier to work with dual options, without changing the existing\n * implementation. We support separate dual options for separate positive and negative options,\n * like `--build` and `--no-build`, which share a single option value. This works nicely for some\n * use cases, but is tricky for others where we want separate behaviours despite\n * the single shared option value.\n */\nclass DualOptions {\n  /**\n   * @param {Option[]} options\n   */\n  constructor(options) {\n    this.positiveOptions = new Map();\n    this.negativeOptions = new Map();\n    this.dualOptions = new Set();\n    options.forEach((option) => {\n      if (option.negate) {\n        this.negativeOptions.set(option.attributeName(), option);\n      } else {\n        this.positiveOptions.set(option.attributeName(), option);\n      }\n    });\n    this.negativeOptions.forEach((value, key) => {\n      if (this.positiveOptions.has(key)) {\n        this.dualOptions.add(key);\n      }\n    });\n  }\n\n  /**\n   * Did the value come from the option, and not from possible matching dual option?\n   *\n   * @param {*} value\n   * @param {Option} option\n   * @returns {boolean}\n   */\n  valueFromOption(value, option) {\n    const optionKey = option.attributeName();\n    if (!this.dualOptions.has(optionKey)) return true;\n\n    // Use the value to deduce if (probably) came from the option.\n    const preset = this.negativeOptions.get(optionKey).presetArg;\n    const negativeValue = preset !== undefined ? preset : false;\n    return option.negate === (negativeValue === value);\n  }\n}\n\n/**\n * Convert string from kebab-case to camelCase.\n *\n * @param {string} str\n * @return {string}\n * @private\n */\n\nfunction camelcase(str) {\n  return str.split('-').reduce((str, word) => {\n    return str + word[0].toUpperCase() + word.slice(1);\n  });\n}\n\n/**\n * Split the short and long flag out of something like '-m,--mixed <value>'\n *\n * @private\n */\n\nfunction splitOptionFlags(flags) {\n  let shortFlag;\n  let longFlag;\n  // short flag, single dash and single character\n  const shortFlagExp = /^-[^-]$/;\n  // long flag, double dash and at least one character\n  const longFlagExp = /^--[^-]/;\n\n  const flagParts = flags.split(/[ |,]+/).concat('guard');\n  // Normal is short and/or long.\n  if (shortFlagExp.test(flagParts[0])) shortFlag = flagParts.shift();\n  if (longFlagExp.test(flagParts[0])) longFlag = flagParts.shift();\n  // Long then short. Rarely used but fine.\n  if (!shortFlag && shortFlagExp.test(flagParts[0]))\n    shortFlag = flagParts.shift();\n  // Allow two long flags, like '--ws, --workspace'\n  // This is the supported way to have a shortish option flag.\n  if (!shortFlag && longFlagExp.test(flagParts[0])) {\n    shortFlag = longFlag;\n    longFlag = flagParts.shift();\n  }\n\n  // Check for unprocessed flag. Fail noisily rather than silently ignore.\n  if (flagParts[0].startsWith('-')) {\n    const unsupportedFlag = flagParts[0];\n    const baseError = `option creation failed due to '${unsupportedFlag}' in option flags '${flags}'`;\n    if (/^-[^-][^-]/.test(unsupportedFlag))\n      throw new Error(\n        `${baseError}\n- a short flag is a single dash and a single character\n  - either use a single dash and a single character (for a short flag)\n  - or use a double dash for a long option (and can have two, like '--ws, --workspace')`,\n      );\n    if (shortFlagExp.test(unsupportedFlag))\n      throw new Error(`${baseError}\n- too many short flags`);\n    if (longFlagExp.test(unsupportedFlag))\n      throw new Error(`${baseError}\n- too many long flags`);\n\n    throw new Error(`${baseError}\n- unrecognised flag format`);\n  }\n  if (shortFlag === undefined && longFlag === undefined)\n    throw new Error(\n      `option creation failed due to no flags found in '${flags}'.`,\n    );\n\n  return { shortFlag, longFlag };\n}\n\nexports.Option = Option;\nexports.DualOptions = DualOptions;\n", "const maxDistance = 3;\n\nfunction editDistance(a, b) {\n  // https://en.wikipedia.org/wiki/Damerau\u2013Levenshtein_distance\n  // Calculating optimal string alignment distance, no substring is edited more than once.\n  // (Simple implementation.)\n\n  // Quick early exit, return worst case.\n  if (Math.abs(a.length - b.length) > maxDistance)\n    return Math.max(a.length, b.length);\n\n  // distance between prefix substrings of a and b\n  const d = [];\n\n  // pure deletions turn a into empty string\n  for (let i = 0; i <= a.length; i++) {\n    d[i] = [i];\n  }\n  // pure insertions turn empty string into b\n  for (let j = 0; j <= b.length; j++) {\n    d[0][j] = j;\n  }\n\n  // fill matrix\n  for (let j = 1; j <= b.length; j++) {\n    for (let i = 1; i <= a.length; i++) {\n      let cost = 1;\n      if (a[i - 1] === b[j - 1]) {\n        cost = 0;\n      } else {\n        cost = 1;\n      }\n      d[i][j] = Math.min(\n        d[i - 1][j] + 1, // deletion\n        d[i][j - 1] + 1, // insertion\n        d[i - 1][j - 1] + cost, // substitution\n      );\n      // transposition\n      if (i > 1 && j > 1 && a[i - 1] === b[j - 2] && a[i - 2] === b[j - 1]) {\n        d[i][j] = Math.min(d[i][j], d[i - 2][j - 2] + 1);\n      }\n    }\n  }\n\n  return d[a.length][b.length];\n}\n\n/**\n * Find close matches, restricted to same number of edits.\n *\n * @param {string} word\n * @param {string[]} candidates\n * @returns {string}\n */\n\nfunction suggestSimilar(word, candidates) {\n  if (!candidates || candidates.length === 0) return '';\n  // remove possible duplicates\n  candidates = Array.from(new Set(candidates));\n\n  const searchingOptions = word.startsWith('--');\n  if (searchingOptions) {\n    word = word.slice(2);\n    candidates = candidates.map((candidate) => candidate.slice(2));\n  }\n\n  let similar = [];\n  let bestDistance = maxDistance;\n  const minSimilarity = 0.4;\n  candidates.forEach((candidate) => {\n    if (candidate.length <= 1) return; // no one character guesses\n\n    const distance = editDistance(word, candidate);\n    const length = Math.max(word.length, candidate.length);\n    const similarity = (length - distance) / length;\n    if (similarity > minSimilarity) {\n      if (distance < bestDistance) {\n        // better edit distance, throw away previous worse matches\n        bestDistance = distance;\n        similar = [candidate];\n      } else if (distance === bestDistance) {\n        similar.push(candidate);\n      }\n    }\n  });\n\n  similar.sort((a, b) => a.localeCompare(b));\n  if (searchingOptions) {\n    similar = similar.map((candidate) => `--${candidate}`);\n  }\n\n  if (similar.length > 1) {\n    return `\\n(Did you mean one of ${similar.join(', ')}?)`;\n  }\n  if (similar.length === 1) {\n    return `\\n(Did you mean ${similar[0]}?)`;\n  }\n  return '';\n}\n\nexports.suggestSimilar = suggestSimilar;\n", "const EventEmitter = require('node:events').EventEmitter;\nconst childProcess = require('node:child_process');\nconst path = require('node:path');\nconst fs = require('node:fs');\nconst process = require('node:process');\n\nconst { Argument, humanReadableArgName } = require('./argument.js');\nconst { CommanderError } = require('./error.js');\nconst { Help, stripColor } = require('./help.js');\nconst { Option, DualOptions } = require('./option.js');\nconst { suggestSimilar } = require('./suggestSimilar');\n\nclass Command extends EventEmitter {\n  /**\n   * Initialize a new `Command`.\n   *\n   * @param {string} [name]\n   */\n\n  constructor(name) {\n    super();\n    /** @type {Command[]} */\n    this.commands = [];\n    /** @type {Option[]} */\n    this.options = [];\n    this.parent = null;\n    this._allowUnknownOption = false;\n    this._allowExcessArguments = false;\n    /** @type {Argument[]} */\n    this.registeredArguments = [];\n    this._args = this.registeredArguments; // deprecated old name\n    /** @type {string[]} */\n    this.args = []; // cli args with options removed\n    this.rawArgs = [];\n    this.processedArgs = []; // like .args but after custom processing and collecting variadic\n    this._scriptPath = null;\n    this._name = name || '';\n    this._optionValues = {};\n    this._optionValueSources = {}; // default, env, cli etc\n    this._storeOptionsAsProperties = false;\n    this._actionHandler = null;\n    this._executableHandler = false;\n    this._executableFile = null; // custom name for executable\n    this._executableDir = null; // custom search directory for subcommands\n    this._defaultCommandName = null;\n    this._exitCallback = null;\n    this._aliases = [];\n    this._combineFlagAndOptionalValue = true;\n    this._description = '';\n    this._summary = '';\n    this._argsDescription = undefined; // legacy\n    this._enablePositionalOptions = false;\n    this._passThroughOptions = false;\n    this._lifeCycleHooks = {}; // a hash of arrays\n    /** @type {(boolean | string)} */\n    this._showHelpAfterError = false;\n    this._showSuggestionAfterError = true;\n    this._savedState = null; // used in save/restoreStateBeforeParse\n\n    // see configureOutput() for docs\n    this._outputConfiguration = {\n      writeOut: (str) => process.stdout.write(str),\n      writeErr: (str) => process.stderr.write(str),\n      outputError: (str, write) => write(str),\n      getOutHelpWidth: () =>\n        process.stdout.isTTY ? process.stdout.columns : undefined,\n      getErrHelpWidth: () =>\n        process.stderr.isTTY ? process.stderr.columns : undefined,\n      getOutHasColors: () =>\n        useColor() ?? (process.stdout.isTTY && process.stdout.hasColors?.()),\n      getErrHasColors: () =>\n        useColor() ?? (process.stderr.isTTY && process.stderr.hasColors?.()),\n      stripColor: (str) => stripColor(str),\n    };\n\n    this._hidden = false;\n    /** @type {(Option | null | undefined)} */\n    this._helpOption = undefined; // Lazy created on demand. May be null if help option is disabled.\n    this._addImplicitHelpCommand = undefined; // undecided whether true or false yet, not inherited\n    /** @type {Command} */\n    this._helpCommand = undefined; // lazy initialised, inherited\n    this._helpConfiguration = {};\n  }\n\n  /**\n   * Copy settings that are useful to have in common across root command and subcommands.\n   *\n   * (Used internally when adding a command using `.command()` so subcommands inherit parent settings.)\n   *\n   * @param {Command} sourceCommand\n   * @return {Command} `this` command for chaining\n   */\n  copyInheritedSettings(sourceCommand) {\n    this._outputConfiguration = sourceCommand._outputConfiguration;\n    this._helpOption = sourceCommand._helpOption;\n    this._helpCommand = sourceCommand._helpCommand;\n    this._helpConfiguration = sourceCommand._helpConfiguration;\n    this._exitCallback = sourceCommand._exitCallback;\n    this._storeOptionsAsProperties = sourceCommand._storeOptionsAsProperties;\n    this._combineFlagAndOptionalValue =\n      sourceCommand._combineFlagAndOptionalValue;\n    this._allowExcessArguments = sourceCommand._allowExcessArguments;\n    this._enablePositionalOptions = sourceCommand._enablePositionalOptions;\n    this._showHelpAfterError = sourceCommand._showHelpAfterError;\n    this._showSuggestionAfterError = sourceCommand._showSuggestionAfterError;\n\n    return this;\n  }\n\n  /**\n   * @returns {Command[]}\n   * @private\n   */\n\n  _getCommandAndAncestors() {\n    const result = [];\n    // eslint-disable-next-line @typescript-eslint/no-this-alias\n    for (let command = this; command; command = command.parent) {\n      result.push(command);\n    }\n    return result;\n  }\n\n  /**\n   * Define a command.\n   *\n   * There are two styles of command: pay attention to where to put the description.\n   *\n   * @example\n   * // Command implemented using action handler (description is supplied separately to `.command`)\n   * program\n   *   .command('clone <source> [destination]')\n   *   .description('clone a repository into a newly created directory')\n   *   .action((source, destination) => {\n   *     console.log('clone command called');\n   *   });\n   *\n   * // Command implemented using separate executable file (description is second parameter to `.command`)\n   * program\n   *   .command('start <service>', 'start named service')\n   *   .command('stop [service]', 'stop named service, or all if no name supplied');\n   *\n   * @param {string} nameAndArgs - command name and arguments, args are `<required>` or `[optional]` and last may also be `variadic...`\n   * @param {(object | string)} [actionOptsOrExecDesc] - configuration options (for action), or description (for executable)\n   * @param {object} [execOpts] - configuration options (for executable)\n   * @return {Command} returns new command for action handler, or `this` for executable command\n   */\n\n  command(nameAndArgs, actionOptsOrExecDesc, execOpts) {\n    let desc = actionOptsOrExecDesc;\n    let opts = execOpts;\n    if (typeof desc === 'object' && desc !== null) {\n      opts = desc;\n      desc = null;\n    }\n    opts = opts || {};\n    const [, name, args] = nameAndArgs.match(/([^ ]+) *(.*)/);\n\n    const cmd = this.createCommand(name);\n    if (desc) {\n      cmd.description(desc);\n      cmd._executableHandler = true;\n    }\n    if (opts.isDefault) this._defaultCommandName = cmd._name;\n    cmd._hidden = !!(opts.noHelp || opts.hidden); // noHelp is deprecated old name for hidden\n    cmd._executableFile = opts.executableFile || null; // Custom name for executable file, set missing to null to match constructor\n    if (args) cmd.arguments(args);\n    this._registerCommand(cmd);\n    cmd.parent = this;\n    cmd.copyInheritedSettings(this);\n\n    if (desc) return this;\n    return cmd;\n  }\n\n  /**\n   * Factory routine to create a new unattached command.\n   *\n   * See .command() for creating an attached subcommand, which uses this routine to\n   * create the command. You can override createCommand to customise subcommands.\n   *\n   * @param {string} [name]\n   * @return {Command} new command\n   */\n\n  createCommand(name) {\n    return new Command(name);\n  }\n\n  /**\n   * You can customise the help with a subclass of Help by overriding createHelp,\n   * or by overriding Help properties using configureHelp().\n   *\n   * @return {Help}\n   */\n\n  createHelp() {\n    return Object.assign(new Help(), this.configureHelp());\n  }\n\n  /**\n   * You can customise the help by overriding Help properties using configureHelp(),\n   * or with a subclass of Help by overriding createHelp().\n   *\n   * @param {object} [configuration] - configuration options\n   * @return {(Command | object)} `this` command for chaining, or stored configuration\n   */\n\n  configureHelp(configuration) {\n    if (configuration === undefined) return this._helpConfiguration;\n\n    this._helpConfiguration = configuration;\n    return this;\n  }\n\n  /**\n   * The default output goes to stdout and stderr. You can customise this for special\n   * applications. You can also customise the display of errors by overriding outputError.\n   *\n   * The configuration properties are all functions:\n   *\n   *     // change how output being written, defaults to stdout and stderr\n   *     writeOut(str)\n   *     writeErr(str)\n   *     // change how output being written for errors, defaults to writeErr\n   *     outputError(str, write) // used for displaying errors and not used for displaying help\n   *     // specify width for wrapping help\n   *     getOutHelpWidth()\n   *     getErrHelpWidth()\n   *     // color support, currently only used with Help\n   *     getOutHasColors()\n   *     getErrHasColors()\n   *     stripColor() // used to remove ANSI escape codes if output does not have colors\n   *\n   * @param {object} [configuration] - configuration options\n   * @return {(Command | object)} `this` command for chaining, or stored configuration\n   */\n\n  configureOutput(configuration) {\n    if (configuration === undefined) return this._outputConfiguration;\n\n    Object.assign(this._outputConfiguration, configuration);\n    return this;\n  }\n\n  /**\n   * Display the help or a custom message after an error occurs.\n   *\n   * @param {(boolean|string)} [displayHelp]\n   * @return {Command} `this` command for chaining\n   */\n  showHelpAfterError(displayHelp = true) {\n    if (typeof displayHelp !== 'string') displayHelp = !!displayHelp;\n    this._showHelpAfterError = displayHelp;\n    return this;\n  }\n\n  /**\n   * Display suggestion of similar commands for unknown commands, or options for unknown options.\n   *\n   * @param {boolean} [displaySuggestion]\n   * @return {Command} `this` command for chaining\n   */\n  showSuggestionAfterError(displaySuggestion = true) {\n    this._showSuggestionAfterError = !!displaySuggestion;\n    return this;\n  }\n\n  /**\n   * Add a prepared subcommand.\n   *\n   * See .command() for creating an attached subcommand which inherits settings from its parent.\n   *\n   * @param {Command} cmd - new subcommand\n   * @param {object} [opts] - configuration options\n   * @return {Command} `this` command for chaining\n   */\n\n  addCommand(cmd, opts) {\n    if (!cmd._name) {\n      throw new Error(`Command passed to .addCommand() must have a name\n- specify the name in Command constructor or using .name()`);\n    }\n\n    opts = opts || {};\n    if (opts.isDefault) this._defaultCommandName = cmd._name;\n    if (opts.noHelp || opts.hidden) cmd._hidden = true; // modifying passed command due to existing implementation\n\n    this._registerCommand(cmd);\n    cmd.parent = this;\n    cmd._checkForBrokenPassThrough();\n\n    return this;\n  }\n\n  /**\n   * Factory routine to create a new unattached argument.\n   *\n   * See .argument() for creating an attached argument, which uses this routine to\n   * create the argument. You can override createArgument to return a custom argument.\n   *\n   * @param {string} name\n   * @param {string} [description]\n   * @return {Argument} new argument\n   */\n\n  createArgument(name, description) {\n    return new Argument(name, description);\n  }\n\n  /**\n   * Define argument syntax for command.\n   *\n   * The default is that the argument is required, and you can explicitly\n   * indicate this with <> around the name. Put [] around the name for an optional argument.\n   *\n   * @example\n   * program.argument('<input-file>');\n   * program.argument('[output-file]');\n   *\n   * @param {string} name\n   * @param {string} [description]\n   * @param {(Function|*)} [fn] - custom argument processing function\n   * @param {*} [defaultValue]\n   * @return {Command} `this` command for chaining\n   */\n  argument(name, description, fn, defaultValue) {\n    const argument = this.createArgument(name, description);\n    if (typeof fn === 'function') {\n      argument.default(defaultValue).argParser(fn);\n    } else {\n      argument.default(fn);\n    }\n    this.addArgument(argument);\n    return this;\n  }\n\n  /**\n   * Define argument syntax for command, adding multiple at once (without descriptions).\n   *\n   * See also .argument().\n   *\n   * @example\n   * program.arguments('<cmd> [env]');\n   *\n   * @param {string} names\n   * @return {Command} `this` command for chaining\n   */\n\n  arguments(names) {\n    names\n      .trim()\n      .split(/ +/)\n      .forEach((detail) => {\n        this.argument(detail);\n      });\n    return this;\n  }\n\n  /**\n   * Define argument syntax for command, adding a prepared argument.\n   *\n   * @param {Argument} argument\n   * @return {Command} `this` command for chaining\n   */\n  addArgument(argument) {\n    const previousArgument = this.registeredArguments.slice(-1)[0];\n    if (previousArgument && previousArgument.variadic) {\n      throw new Error(\n        `only the last argument can be variadic '${previousArgument.name()}'`,\n      );\n    }\n    if (\n      argument.required &&\n      argument.defaultValue !== undefined &&\n      argument.parseArg === undefined\n    ) {\n      throw new Error(\n        `a default value for a required argument is never used: '${argument.name()}'`,\n      );\n    }\n    this.registeredArguments.push(argument);\n    return this;\n  }\n\n  /**\n   * Customise or override default help command. By default a help command is automatically added if your command has subcommands.\n   *\n   * @example\n   *    program.helpCommand('help [cmd]');\n   *    program.helpCommand('help [cmd]', 'show help');\n   *    program.helpCommand(false); // suppress default help command\n   *    program.helpCommand(true); // add help command even if no subcommands\n   *\n   * @param {string|boolean} enableOrNameAndArgs - enable with custom name and/or arguments, or boolean to override whether added\n   * @param {string} [description] - custom description\n   * @return {Command} `this` command for chaining\n   */\n\n  helpCommand(enableOrNameAndArgs, description) {\n    if (typeof enableOrNameAndArgs === 'boolean') {\n      this._addImplicitHelpCommand = enableOrNameAndArgs;\n      return this;\n    }\n\n    enableOrNameAndArgs = enableOrNameAndArgs ?? 'help [command]';\n    const [, helpName, helpArgs] = enableOrNameAndArgs.match(/([^ ]+) *(.*)/);\n    const helpDescription = description ?? 'display help for command';\n\n    const helpCommand = this.createCommand(helpName);\n    helpCommand.helpOption(false);\n    if (helpArgs) helpCommand.arguments(helpArgs);\n    if (helpDescription) helpCommand.description(helpDescription);\n\n    this._addImplicitHelpCommand = true;\n    this._helpCommand = helpCommand;\n\n    return this;\n  }\n\n  /**\n   * Add prepared custom help command.\n   *\n   * @param {(Command|string|boolean)} helpCommand - custom help command, or deprecated enableOrNameAndArgs as for `.helpCommand()`\n   * @param {string} [deprecatedDescription] - deprecated custom description used with custom name only\n   * @return {Command} `this` command for chaining\n   */\n  addHelpCommand(helpCommand, deprecatedDescription) {\n    // If not passed an object, call through to helpCommand for backwards compatibility,\n    // as addHelpCommand was originally used like helpCommand is now.\n    if (typeof helpCommand !== 'object') {\n      this.helpCommand(helpCommand, deprecatedDescription);\n      return this;\n    }\n\n    this._addImplicitHelpCommand = true;\n    this._helpCommand = helpCommand;\n    return this;\n  }\n\n  /**\n   * Lazy create help command.\n   *\n   * @return {(Command|null)}\n   * @package\n   */\n  _getHelpCommand() {\n    const hasImplicitHelpCommand =\n      this._addImplicitHelpCommand ??\n      (this.commands.length &&\n        !this._actionHandler &&\n        !this._findCommand('help'));\n\n    if (hasImplicitHelpCommand) {\n      if (this._helpCommand === undefined) {\n        this.helpCommand(undefined, undefined); // use default name and description\n      }\n      return this._helpCommand;\n    }\n    return null;\n  }\n\n  /**\n   * Add hook for life cycle event.\n   *\n   * @param {string} event\n   * @param {Function} listener\n   * @return {Command} `this` command for chaining\n   */\n\n  hook(event, listener) {\n    const allowedValues = ['preSubcommand', 'preAction', 'postAction'];\n    if (!allowedValues.includes(event)) {\n      throw new Error(`Unexpected value for event passed to hook : '${event}'.\nExpecting one of '${allowedValues.join(\"', '\")}'`);\n    }\n    if (this._lifeCycleHooks[event]) {\n      this._lifeCycleHooks[event].push(listener);\n    } else {\n      this._lifeCycleHooks[event] = [listener];\n    }\n    return this;\n  }\n\n  /**\n   * Register callback to use as replacement for calling process.exit.\n   *\n   * @param {Function} [fn] optional callback which will be passed a CommanderError, defaults to throwing\n   * @return {Command} `this` command for chaining\n   */\n\n  exitOverride(fn) {\n    if (fn) {\n      this._exitCallback = fn;\n    } else {\n      this._exitCallback = (err) => {\n        if (err.code !== 'commander.executeSubCommandAsync') {\n          throw err;\n        } else {\n          // Async callback from spawn events, not useful to throw.\n        }\n      };\n    }\n    return this;\n  }\n\n  /**\n   * Call process.exit, and _exitCallback if defined.\n   *\n   * @param {number} exitCode exit code for using with process.exit\n   * @param {string} code an id string representing the error\n   * @param {string} message human-readable description of the error\n   * @return never\n   * @private\n   */\n\n  _exit(exitCode, code, message) {\n    if (this._exitCallback) {\n      this._exitCallback(new CommanderError(exitCode, code, message));\n      // Expecting this line is not reached.\n    }\n    process.exit(exitCode);\n  }\n\n  /**\n   * Register callback `fn` for the command.\n   *\n   * @example\n   * program\n   *   .command('serve')\n   *   .description('start service')\n   *   .action(function() {\n   *      // do work here\n   *   });\n   *\n   * @param {Function} fn\n   * @return {Command} `this` command for chaining\n   */\n\n  action(fn) {\n    const listener = (args) => {\n      // The .action callback takes an extra parameter which is the command or options.\n      const expectedArgsCount = this.registeredArguments.length;\n      const actionArgs = args.slice(0, expectedArgsCount);\n      if (this._storeOptionsAsProperties) {\n        actionArgs[expectedArgsCount] = this; // backwards compatible \"options\"\n      } else {\n        actionArgs[expectedArgsCount] = this.opts();\n      }\n      actionArgs.push(this);\n\n      return fn.apply(this, actionArgs);\n    };\n    this._actionHandler = listener;\n    return this;\n  }\n\n  /**\n   * Factory routine to create a new unattached option.\n   *\n   * See .option() for creating an attached option, which uses this routine to\n   * create the option. You can override createOption to return a custom option.\n   *\n   * @param {string} flags\n   * @param {string} [description]\n   * @return {Option} new option\n   */\n\n  createOption(flags, description) {\n    return new Option(flags, description);\n  }\n\n  /**\n   * Wrap parseArgs to catch 'commander.invalidArgument'.\n   *\n   * @param {(Option | Argument)} target\n   * @param {string} value\n   * @param {*} previous\n   * @param {string} invalidArgumentMessage\n   * @private\n   */\n\n  _callParseArg(target, value, previous, invalidArgumentMessage) {\n    try {\n      return target.parseArg(value, previous);\n    } catch (err) {\n      if (err.code === 'commander.invalidArgument') {\n        const message = `${invalidArgumentMessage} ${err.message}`;\n        this.error(message, { exitCode: err.exitCode, code: err.code });\n      }\n      throw err;\n    }\n  }\n\n  /**\n   * Check for option flag conflicts.\n   * Register option if no conflicts found, or throw on conflict.\n   *\n   * @param {Option} option\n   * @private\n   */\n\n  _registerOption(option) {\n    const matchingOption =\n      (option.short && this._findOption(option.short)) ||\n      (option.long && this._findOption(option.long));\n    if (matchingOption) {\n      const matchingFlag =\n        option.long && this._findOption(option.long)\n          ? option.long\n          : option.short;\n      throw new Error(`Cannot add option '${option.flags}'${this._name && ` to command '${this._name}'`} due to conflicting flag '${matchingFlag}'\n-  already used by option '${matchingOption.flags}'`);\n    }\n\n    this.options.push(option);\n  }\n\n  /**\n   * Check for command name and alias conflicts with existing commands.\n   * Register command if no conflicts found, or throw on conflict.\n   *\n   * @param {Command} command\n   * @private\n   */\n\n  _registerCommand(command) {\n    const knownBy = (cmd) => {\n      return [cmd.name()].concat(cmd.aliases());\n    };\n\n    const alreadyUsed = knownBy(command).find((name) =>\n      this._findCommand(name),\n    );\n    if (alreadyUsed) {\n      const existingCmd = knownBy(this._findCommand(alreadyUsed)).join('|');\n      const newCmd = knownBy(command).join('|');\n      throw new Error(\n        `cannot add command '${newCmd}' as already have command '${existingCmd}'`,\n      );\n    }\n\n    this.commands.push(command);\n  }\n\n  /**\n   * Add an option.\n   *\n   * @param {Option} option\n   * @return {Command} `this` command for chaining\n   */\n  addOption(option) {\n    this._registerOption(option);\n\n    const oname = option.name();\n    const name = option.attributeName();\n\n    // store default value\n    if (option.negate) {\n      // --no-foo is special and defaults foo to true, unless a --foo option is already defined\n      const positiveLongFlag = option.long.replace(/^--no-/, '--');\n      if (!this._findOption(positiveLongFlag)) {\n        this.setOptionValueWithSource(\n          name,\n          option.defaultValue === undefined ? true : option.defaultValue,\n          'default',\n        );\n      }\n    } else if (option.defaultValue !== undefined) {\n      this.setOptionValueWithSource(name, option.defaultValue, 'default');\n    }\n\n    // handler for cli and env supplied values\n    const handleOptionValue = (val, invalidValueMessage, valueSource) => {\n      // val is null for optional option used without an optional-argument.\n      // val is undefined for boolean and negated option.\n      if (val == null && option.presetArg !== undefined) {\n        val = option.presetArg;\n      }\n\n      // custom processing\n      const oldValue = this.getOptionValue(name);\n      if (val !== null && option.parseArg) {\n        val = this._callParseArg(option, val, oldValue, invalidValueMessage);\n      } else if (val !== null && option.variadic) {\n        val = option._concatValue(val, oldValue);\n      }\n\n      // Fill-in appropriate missing values. Long winded but easy to follow.\n      if (val == null) {\n        if (option.negate) {\n          val = false;\n        } else if (option.isBoolean() || option.optional) {\n          val = true;\n        } else {\n          val = ''; // not normal, parseArg might have failed or be a mock function for testing\n        }\n      }\n      this.setOptionValueWithSource(name, val, valueSource);\n    };\n\n    this.on('option:' + oname, (val) => {\n      const invalidValueMessage = `error: option '${option.flags}' argument '${val}' is invalid.`;\n      handleOptionValue(val, invalidValueMessage, 'cli');\n    });\n\n    if (option.envVar) {\n      this.on('optionEnv:' + oname, (val) => {\n        const invalidValueMessage = `error: option '${option.flags}' value '${val}' from env '${option.envVar}' is invalid.`;\n        handleOptionValue(val, invalidValueMessage, 'env');\n      });\n    }\n\n    return this;\n  }\n\n  /**\n   * Internal implementation shared by .option() and .requiredOption()\n   *\n   * @return {Command} `this` command for chaining\n   * @private\n   */\n  _optionEx(config, flags, description, fn, defaultValue) {\n    if (typeof flags === 'object' && flags instanceof Option) {\n      throw new Error(\n        'To add an Option object use addOption() instead of option() or requiredOption()',\n      );\n    }\n    const option = this.createOption(flags, description);\n    option.makeOptionMandatory(!!config.mandatory);\n    if (typeof fn === 'function') {\n      option.default(defaultValue).argParser(fn);\n    } else if (fn instanceof RegExp) {\n      // deprecated\n      const regex = fn;\n      fn = (val, def) => {\n        const m = regex.exec(val);\n        return m ? m[0] : def;\n      };\n      option.default(defaultValue).argParser(fn);\n    } else {\n      option.default(fn);\n    }\n\n    return this.addOption(option);\n  }\n\n  /**\n   * Define option with `flags`, `description`, and optional argument parsing function or `defaultValue` or both.\n   *\n   * The `flags` string contains the short and/or long flags, separated by comma, a pipe or space. A required\n   * option-argument is indicated by `<>` and an optional option-argument by `[]`.\n   *\n   * See the README for more details, and see also addOption() and requiredOption().\n   *\n   * @example\n   * program\n   *     .option('-p, --pepper', 'add pepper')\n   *     .option('--pt, --pizza-type <TYPE>', 'type of pizza') // required option-argument\n   *     .option('-c, --cheese [CHEESE]', 'add extra cheese', 'mozzarella') // optional option-argument with default\n   *     .option('-t, --tip <VALUE>', 'add tip to purchase cost', parseFloat) // custom parse function\n   *\n   * @param {string} flags\n   * @param {string} [description]\n   * @param {(Function|*)} [parseArg] - custom option processing function or default value\n   * @param {*} [defaultValue]\n   * @return {Command} `this` command for chaining\n   */\n\n  option(flags, description, parseArg, defaultValue) {\n    return this._optionEx({}, flags, description, parseArg, defaultValue);\n  }\n\n  /**\n   * Add a required option which must have a value after parsing. This usually means\n   * the option must be specified on the command line. (Otherwise the same as .option().)\n   *\n   * The `flags` string contains the short and/or long flags, separated by comma, a pipe or space.\n   *\n   * @param {string} flags\n   * @param {string} [description]\n   * @param {(Function|*)} [parseArg] - custom option processing function or default value\n   * @param {*} [defaultValue]\n   * @return {Command} `this` command for chaining\n   */\n\n  requiredOption(flags, description, parseArg, defaultValue) {\n    return this._optionEx(\n      { mandatory: true },\n      flags,\n      description,\n      parseArg,\n      defaultValue,\n    );\n  }\n\n  /**\n   * Alter parsing of short flags with optional values.\n   *\n   * @example\n   * // for `.option('-f,--flag [value]'):\n   * program.combineFlagAndOptionalValue(true);  // `-f80` is treated like `--flag=80`, this is the default behaviour\n   * program.combineFlagAndOptionalValue(false) // `-fb` is treated like `-f -b`\n   *\n   * @param {boolean} [combine] - if `true` or omitted, an optional value can be specified directly after the flag.\n   * @return {Command} `this` command for chaining\n   */\n  combineFlagAndOptionalValue(combine = true) {\n    this._combineFlagAndOptionalValue = !!combine;\n    return this;\n  }\n\n  /**\n   * Allow unknown options on the command line.\n   *\n   * @param {boolean} [allowUnknown] - if `true` or omitted, no error will be thrown for unknown options.\n   * @return {Command} `this` command for chaining\n   */\n  allowUnknownOption(allowUnknown = true) {\n    this._allowUnknownOption = !!allowUnknown;\n    return this;\n  }\n\n  /**\n   * Allow excess command-arguments on the command line. Pass false to make excess arguments an error.\n   *\n   * @param {boolean} [allowExcess] - if `true` or omitted, no error will be thrown for excess arguments.\n   * @return {Command} `this` command for chaining\n   */\n  allowExcessArguments(allowExcess = true) {\n    this._allowExcessArguments = !!allowExcess;\n    return this;\n  }\n\n  /**\n   * Enable positional options. Positional means global options are specified before subcommands which lets\n   * subcommands reuse the same option names, and also enables subcommands to turn on passThroughOptions.\n   * The default behaviour is non-positional and global options may appear anywhere on the command line.\n   *\n   * @param {boolean} [positional]\n   * @return {Command} `this` command for chaining\n   */\n  enablePositionalOptions(positional = true) {\n    this._enablePositionalOptions = !!positional;\n    return this;\n  }\n\n  /**\n   * Pass through options that come after command-arguments rather than treat them as command-options,\n   * so actual command-options come before command-arguments. Turning this on for a subcommand requires\n   * positional options to have been enabled on the program (parent commands).\n   * The default behaviour is non-positional and options may appear before or after command-arguments.\n   *\n   * @param {boolean} [passThrough] for unknown options.\n   * @return {Command} `this` command for chaining\n   */\n  passThroughOptions(passThrough = true) {\n    this._passThroughOptions = !!passThrough;\n    this._checkForBrokenPassThrough();\n    return this;\n  }\n\n  /**\n   * @private\n   */\n\n  _checkForBrokenPassThrough() {\n    if (\n      this.parent &&\n      this._passThroughOptions &&\n      !this.parent._enablePositionalOptions\n    ) {\n      throw new Error(\n        `passThroughOptions cannot be used for '${this._name}' without turning on enablePositionalOptions for parent command(s)`,\n      );\n    }\n  }\n\n  /**\n   * Whether to store option values as properties on command object,\n   * or store separately (specify false). In both cases the option values can be accessed using .opts().\n   *\n   * @param {boolean} [storeAsProperties=true]\n   * @return {Command} `this` command for chaining\n   */\n\n  storeOptionsAsProperties(storeAsProperties = true) {\n    if (this.options.length) {\n      throw new Error('call .storeOptionsAsProperties() before adding options');\n    }\n    if (Object.keys(this._optionValues).length) {\n      throw new Error(\n        'call .storeOptionsAsProperties() before setting option values',\n      );\n    }\n    this._storeOptionsAsProperties = !!storeAsProperties;\n    return this;\n  }\n\n  /**\n   * Retrieve option value.\n   *\n   * @param {string} key\n   * @return {object} value\n   */\n\n  getOptionValue(key) {\n    if (this._storeOptionsAsProperties) {\n      return this[key];\n    }\n    return this._optionValues[key];\n  }\n\n  /**\n   * Store option value.\n   *\n   * @param {string} key\n   * @param {object} value\n   * @return {Command} `this` command for chaining\n   */\n\n  setOptionValue(key, value) {\n    return this.setOptionValueWithSource(key, value, undefined);\n  }\n\n  /**\n   * Store option value and where the value came from.\n   *\n   * @param {string} key\n   * @param {object} value\n   * @param {string} source - expected values are default/config/env/cli/implied\n   * @return {Command} `this` command for chaining\n   */\n\n  setOptionValueWithSource(key, value, source) {\n    if (this._storeOptionsAsProperties) {\n      this[key] = value;\n    } else {\n      this._optionValues[key] = value;\n    }\n    this._optionValueSources[key] = source;\n    return this;\n  }\n\n  /**\n   * Get source of option value.\n   * Expected values are default | config | env | cli | implied\n   *\n   * @param {string} key\n   * @return {string}\n   */\n\n  getOptionValueSource(key) {\n    return this._optionValueSources[key];\n  }\n\n  /**\n   * Get source of option value. See also .optsWithGlobals().\n   * Expected values are default | config | env | cli | implied\n   *\n   * @param {string} key\n   * @return {string}\n   */\n\n  getOptionValueSourceWithGlobals(key) {\n    // global overwrites local, like optsWithGlobals\n    let source;\n    this._getCommandAndAncestors().forEach((cmd) => {\n      if (cmd.getOptionValueSource(key) !== undefined) {\n        source = cmd.getOptionValueSource(key);\n      }\n    });\n    return source;\n  }\n\n  /**\n   * Get user arguments from implied or explicit arguments.\n   * Side-effects: set _scriptPath if args included script. Used for default program name, and subcommand searches.\n   *\n   * @private\n   */\n\n  _prepareUserArgs(argv, parseOptions) {\n    if (argv !== undefined && !Array.isArray(argv)) {\n      throw new Error('first parameter to parse must be array or undefined');\n    }\n    parseOptions = parseOptions || {};\n\n    // auto-detect argument conventions if nothing supplied\n    if (argv === undefined && parseOptions.from === undefined) {\n      if (process.versions?.electron) {\n        parseOptions.from = 'electron';\n      }\n      // check node specific options for scenarios where user CLI args follow executable without scriptname\n      const execArgv = process.execArgv ?? [];\n      if (\n        execArgv.includes('-e') ||\n        execArgv.includes('--eval') ||\n        execArgv.includes('-p') ||\n        execArgv.includes('--print')\n      ) {\n        parseOptions.from = 'eval'; // internal usage, not documented\n      }\n    }\n\n    // default to using process.argv\n    if (argv === undefined) {\n      argv = process.argv;\n    }\n    this.rawArgs = argv.slice();\n\n    // extract the user args and scriptPath\n    let userArgs;\n    switch (parseOptions.from) {\n      case undefined:\n      case 'node':\n        this._scriptPath = argv[1];\n        userArgs = argv.slice(2);\n        break;\n      case 'electron':\n        // @ts-ignore: because defaultApp is an unknown property\n        if (process.defaultApp) {\n          this._scriptPath = argv[1];\n          userArgs = argv.slice(2);\n        } else {\n          userArgs = argv.slice(1);\n        }\n        break;\n      case 'user':\n        userArgs = argv.slice(0);\n        break;\n      case 'eval':\n        userArgs = argv.slice(1);\n        break;\n      default:\n        throw new Error(\n          `unexpected parse option { from: '${parseOptions.from}' }`,\n        );\n    }\n\n    // Find default name for program from arguments.\n    if (!this._name && this._scriptPath)\n      this.nameFromFilename(this._scriptPath);\n    this._name = this._name || 'program';\n\n    return userArgs;\n  }\n\n  /**\n   * Parse `argv`, setting options and invoking commands when defined.\n   *\n   * Use parseAsync instead of parse if any of your action handlers are async.\n   *\n   * Call with no parameters to parse `process.argv`. Detects Electron and special node options like `node --eval`. Easy mode!\n   *\n   * Or call with an array of strings to parse, and optionally where the user arguments start by specifying where the arguments are `from`:\n   * - `'node'`: default, `argv[0]` is the application and `argv[1]` is the script being run, with user arguments after that\n   * - `'electron'`: `argv[0]` is the application and `argv[1]` varies depending on whether the electron application is packaged\n   * - `'user'`: just user arguments\n   *\n   * @example\n   * program.parse(); // parse process.argv and auto-detect electron and special node flags\n   * program.parse(process.argv); // assume argv[0] is app and argv[1] is script\n   * program.parse(my-args, { from: 'user' }); // just user supplied arguments, nothing special about argv[0]\n   *\n   * @param {string[]} [argv] - optional, defaults to process.argv\n   * @param {object} [parseOptions] - optionally specify style of options with from: node/user/electron\n   * @param {string} [parseOptions.from] - where the args are from: 'node', 'user', 'electron'\n   * @return {Command} `this` command for chaining\n   */\n\n  parse(argv, parseOptions) {\n    this._prepareForParse();\n    const userArgs = this._prepareUserArgs(argv, parseOptions);\n    this._parseCommand([], userArgs);\n\n    return this;\n  }\n\n  /**\n   * Parse `argv`, setting options and invoking commands when defined.\n   *\n   * Call with no parameters to parse `process.argv`. Detects Electron and special node options like `node --eval`. Easy mode!\n   *\n   * Or call with an array of strings to parse, and optionally where the user arguments start by specifying where the arguments are `from`:\n   * - `'node'`: default, `argv[0]` is the application and `argv[1]` is the script being run, with user arguments after that\n   * - `'electron'`: `argv[0]` is the application and `argv[1]` varies depending on whether the electron application is packaged\n   * - `'user'`: just user arguments\n   *\n   * @example\n   * await program.parseAsync(); // parse process.argv and auto-detect electron and special node flags\n   * await program.parseAsync(process.argv); // assume argv[0] is app and argv[1] is script\n   * await program.parseAsync(my-args, { from: 'user' }); // just user supplied arguments, nothing special about argv[0]\n   *\n   * @param {string[]} [argv]\n   * @param {object} [parseOptions]\n   * @param {string} parseOptions.from - where the args are from: 'node', 'user', 'electron'\n   * @return {Promise}\n   */\n\n  async parseAsync(argv, parseOptions) {\n    this._prepareForParse();\n    const userArgs = this._prepareUserArgs(argv, parseOptions);\n    await this._parseCommand([], userArgs);\n\n    return this;\n  }\n\n  _prepareForParse() {\n    if (this._savedState === null) {\n      this.saveStateBeforeParse();\n    } else {\n      this.restoreStateBeforeParse();\n    }\n  }\n\n  /**\n   * Called the first time parse is called to save state and allow a restore before subsequent calls to parse.\n   * Not usually called directly, but available for subclasses to save their custom state.\n   *\n   * This is called in a lazy way. Only commands used in parsing chain will have state saved.\n   */\n  saveStateBeforeParse() {\n    this._savedState = {\n      // name is stable if supplied by author, but may be unspecified for root command and deduced during parsing\n      _name: this._name,\n      // option values before parse have default values (including false for negated options)\n      // shallow clones\n      _optionValues: { ...this._optionValues },\n      _optionValueSources: { ...this._optionValueSources },\n    };\n  }\n\n  /**\n   * Restore state before parse for calls after the first.\n   * Not usually called directly, but available for subclasses to save their custom state.\n   *\n   * This is called in a lazy way. Only commands used in parsing chain will have state restored.\n   */\n  restoreStateBeforeParse() {\n    if (this._storeOptionsAsProperties)\n      throw new Error(`Can not call parse again when storeOptionsAsProperties is true.\n- either make a new Command for each call to parse, or stop storing options as properties`);\n\n    // clear state from _prepareUserArgs\n    this._name = this._savedState._name;\n    this._scriptPath = null;\n    this.rawArgs = [];\n    // clear state from setOptionValueWithSource\n    this._optionValues = { ...this._savedState._optionValues };\n    this._optionValueSources = { ...this._savedState._optionValueSources };\n    // clear state from _parseCommand\n    this.args = [];\n    // clear state from _processArguments\n    this.processedArgs = [];\n  }\n\n  /**\n   * Throw if expected executable is missing. Add lots of help for author.\n   *\n   * @param {string} executableFile\n   * @param {string} executableDir\n   * @param {string} subcommandName\n   */\n  _checkForMissingExecutable(executableFile, executableDir, subcommandName) {\n    if (fs.existsSync(executableFile)) return;\n\n    const executableDirMessage = executableDir\n      ? `searched for local subcommand relative to directory '${executableDir}'`\n      : 'no directory for search for local subcommand, use .executableDir() to supply a custom directory';\n    const executableMissing = `'${executableFile}' does not exist\n - if '${subcommandName}' is not meant to be an executable command, remove description parameter from '.command()' and use '.description()' instead\n - if the default executable name is not suitable, use the executableFile option to supply a custom name or path\n - ${executableDirMessage}`;\n    throw new Error(executableMissing);\n  }\n\n  /**\n   * Execute a sub-command executable.\n   *\n   * @private\n   */\n\n  _executeSubCommand(subcommand, args) {\n    args = args.slice();\n    let launchWithNode = false; // Use node for source targets so do not need to get permissions correct, and on Windows.\n    const sourceExt = ['.js', '.ts', '.tsx', '.mjs', '.cjs'];\n\n    function findFile(baseDir, baseName) {\n      // Look for specified file\n      const localBin = path.resolve(baseDir, baseName);\n      if (fs.existsSync(localBin)) return localBin;\n\n      // Stop looking if candidate already has an expected extension.\n      if (sourceExt.includes(path.extname(baseName))) return undefined;\n\n      // Try all the extensions.\n      const foundExt = sourceExt.find((ext) =>\n        fs.existsSync(`${localBin}${ext}`),\n      );\n      if (foundExt) return `${localBin}${foundExt}`;\n\n      return undefined;\n    }\n\n    // Not checking for help first. Unlikely to have mandatory and executable, and can't robustly test for help flags in external command.\n    this._checkForMissingMandatoryOptions();\n    this._checkForConflictingOptions();\n\n    // executableFile and executableDir might be full path, or just a name\n    let executableFile =\n      subcommand._executableFile || `${this._name}-${subcommand._name}`;\n    let executableDir = this._executableDir || '';\n    if (this._scriptPath) {\n      let resolvedScriptPath; // resolve possible symlink for installed npm binary\n      try {\n        resolvedScriptPath = fs.realpathSync(this._scriptPath);\n      } catch {\n        resolvedScriptPath = this._scriptPath;\n      }\n      executableDir = path.resolve(\n        path.dirname(resolvedScriptPath),\n        executableDir,\n      );\n    }\n\n    // Look for a local file in preference to a command in PATH.\n    if (executableDir) {\n      let localFile = findFile(executableDir, executableFile);\n\n      // Legacy search using prefix of script name instead of command name\n      if (!localFile && !subcommand._executableFile && this._scriptPath) {\n        const legacyName = path.basename(\n          this._scriptPath,\n          path.extname(this._scriptPath),\n        );\n        if (legacyName !== this._name) {\n          localFile = findFile(\n            executableDir,\n            `${legacyName}-${subcommand._name}`,\n          );\n        }\n      }\n      executableFile = localFile || executableFile;\n    }\n\n    launchWithNode = sourceExt.includes(path.extname(executableFile));\n\n    let proc;\n    if (process.platform !== 'win32') {\n      if (launchWithNode) {\n        args.unshift(executableFile);\n        // add executable arguments to spawn\n        args = incrementNodeInspectorPort(process.execArgv).concat(args);\n\n        proc = childProcess.spawn(process.argv[0], args, { stdio: 'inherit' });\n      } else {\n        proc = childProcess.spawn(executableFile, args, { stdio: 'inherit' });\n      }\n    } else {\n      this._checkForMissingExecutable(\n        executableFile,\n        executableDir,\n        subcommand._name,\n      );\n      args.unshift(executableFile);\n      // add executable arguments to spawn\n      args = incrementNodeInspectorPort(process.execArgv).concat(args);\n      proc = childProcess.spawn(process.execPath, args, { stdio: 'inherit' });\n    }\n\n    if (!proc.killed) {\n      // testing mainly to avoid leak warnings during unit tests with mocked spawn\n      const signals = ['SIGUSR1', 'SIGUSR2', 'SIGTERM', 'SIGINT', 'SIGHUP'];\n      signals.forEach((signal) => {\n        process.on(signal, () => {\n          if (proc.killed === false && proc.exitCode === null) {\n            // @ts-ignore because signals not typed to known strings\n            proc.kill(signal);\n          }\n        });\n      });\n    }\n\n    // By default terminate process when spawned process terminates.\n    const exitCallback = this._exitCallback;\n    proc.on('close', (code) => {\n      code = code ?? 1; // code is null if spawned process terminated due to a signal\n      if (!exitCallback) {\n        process.exit(code);\n      } else {\n        exitCallback(\n          new CommanderError(\n            code,\n            'commander.executeSubCommandAsync',\n            '(close)',\n          ),\n        );\n      }\n    });\n    proc.on('error', (err) => {\n      // @ts-ignore: because err.code is an unknown property\n      if (err.code === 'ENOENT') {\n        this._checkForMissingExecutable(\n          executableFile,\n          executableDir,\n          subcommand._name,\n        );\n        // @ts-ignore: because err.code is an unknown property\n      } else if (err.code === 'EACCES') {\n        throw new Error(`'${executableFile}' not executable`);\n      }\n      if (!exitCallback) {\n        process.exit(1);\n      } else {\n        const wrappedError = new CommanderError(\n          1,\n          'commander.executeSubCommandAsync',\n          '(error)',\n        );\n        wrappedError.nestedError = err;\n        exitCallback(wrappedError);\n      }\n    });\n\n    // Store the reference to the child process\n    this.runningCommand = proc;\n  }\n\n  /**\n   * @private\n   */\n\n  _dispatchSubcommand(commandName, operands, unknown) {\n    const subCommand = this._findCommand(commandName);\n    if (!subCommand) this.help({ error: true });\n\n    subCommand._prepareForParse();\n    let promiseChain;\n    promiseChain = this._chainOrCallSubCommandHook(\n      promiseChain,\n      subCommand,\n      'preSubcommand',\n    );\n    promiseChain = this._chainOrCall(promiseChain, () => {\n      if (subCommand._executableHandler) {\n        this._executeSubCommand(subCommand, operands.concat(unknown));\n      } else {\n        return subCommand._parseCommand(operands, unknown);\n      }\n    });\n    return promiseChain;\n  }\n\n  /**\n   * Invoke help directly if possible, or dispatch if necessary.\n   * e.g. help foo\n   *\n   * @private\n   */\n\n  _dispatchHelpCommand(subcommandName) {\n    if (!subcommandName) {\n      this.help();\n    }\n    const subCommand = this._findCommand(subcommandName);\n    if (subCommand && !subCommand._executableHandler) {\n      subCommand.help();\n    }\n\n    // Fallback to parsing the help flag to invoke the help.\n    return this._dispatchSubcommand(\n      subcommandName,\n      [],\n      [this._getHelpOption()?.long ?? this._getHelpOption()?.short ?? '--help'],\n    );\n  }\n\n  /**\n   * Check this.args against expected this.registeredArguments.\n   *\n   * @private\n   */\n\n  _checkNumberOfArguments() {\n    // too few\n    this.registeredArguments.forEach((arg, i) => {\n      if (arg.required && this.args[i] == null) {\n        this.missingArgument(arg.name());\n      }\n    });\n    // too many\n    if (\n      this.registeredArguments.length > 0 &&\n      this.registeredArguments[this.registeredArguments.length - 1].variadic\n    ) {\n      return;\n    }\n    if (this.args.length > this.registeredArguments.length) {\n      this._excessArguments(this.args);\n    }\n  }\n\n  /**\n   * Process this.args using this.registeredArguments and save as this.processedArgs!\n   *\n   * @private\n   */\n\n  _processArguments() {\n    const myParseArg = (argument, value, previous) => {\n      // Extra processing for nice error message on parsing failure.\n      let parsedValue = value;\n      if (value !== null && argument.parseArg) {\n        const invalidValueMessage = `error: command-argument value '${value}' is invalid for argument '${argument.name()}'.`;\n        parsedValue = this._callParseArg(\n          argument,\n          value,\n          previous,\n          invalidValueMessage,\n        );\n      }\n      return parsedValue;\n    };\n\n    this._checkNumberOfArguments();\n\n    const processedArgs = [];\n    this.registeredArguments.forEach((declaredArg, index) => {\n      let value = declaredArg.defaultValue;\n      if (declaredArg.variadic) {\n        // Collect together remaining arguments for passing together as an array.\n        if (index < this.args.length) {\n          value = this.args.slice(index);\n          if (declaredArg.parseArg) {\n            value = value.reduce((processed, v) => {\n              return myParseArg(declaredArg, v, processed);\n            }, declaredArg.defaultValue);\n          }\n        } else if (value === undefined) {\n          value = [];\n        }\n      } else if (index < this.args.length) {\n        value = this.args[index];\n        if (declaredArg.parseArg) {\n          value = myParseArg(declaredArg, value, declaredArg.defaultValue);\n        }\n      }\n      processedArgs[index] = value;\n    });\n    this.processedArgs = processedArgs;\n  }\n\n  /**\n   * Once we have a promise we chain, but call synchronously until then.\n   *\n   * @param {(Promise|undefined)} promise\n   * @param {Function} fn\n   * @return {(Promise|undefined)}\n   * @private\n   */\n\n  _chainOrCall(promise, fn) {\n    // thenable\n    if (promise && promise.then && typeof promise.then === 'function') {\n      // already have a promise, chain callback\n      return promise.then(() => fn());\n    }\n    // callback might return a promise\n    return fn();\n  }\n\n  /**\n   *\n   * @param {(Promise|undefined)} promise\n   * @param {string} event\n   * @return {(Promise|undefined)}\n   * @private\n   */\n\n  _chainOrCallHooks(promise, event) {\n    let result = promise;\n    const hooks = [];\n    this._getCommandAndAncestors()\n      .reverse()\n      .filter((cmd) => cmd._lifeCycleHooks[event] !== undefined)\n      .forEach((hookedCommand) => {\n        hookedCommand._lifeCycleHooks[event].forEach((callback) => {\n          hooks.push({ hookedCommand, callback });\n        });\n      });\n    if (event === 'postAction') {\n      hooks.reverse();\n    }\n\n    hooks.forEach((hookDetail) => {\n      result = this._chainOrCall(result, () => {\n        return hookDetail.callback(hookDetail.hookedCommand, this);\n      });\n    });\n    return result;\n  }\n\n  /**\n   *\n   * @param {(Promise|undefined)} promise\n   * @param {Command} subCommand\n   * @param {string} event\n   * @return {(Promise|undefined)}\n   * @private\n   */\n\n  _chainOrCallSubCommandHook(promise, subCommand, event) {\n    let result = promise;\n    if (this._lifeCycleHooks[event] !== undefined) {\n      this._lifeCycleHooks[event].forEach((hook) => {\n        result = this._chainOrCall(result, () => {\n          return hook(this, subCommand);\n        });\n      });\n    }\n    return result;\n  }\n\n  /**\n   * Process arguments in context of this command.\n   * Returns action result, in case it is a promise.\n   *\n   * @private\n   */\n\n  _parseCommand(operands, unknown) {\n    const parsed = this.parseOptions(unknown);\n    this._parseOptionsEnv(); // after cli, so parseArg not called on both cli and env\n    this._parseOptionsImplied();\n    operands = operands.concat(parsed.operands);\n    unknown = parsed.unknown;\n    this.args = operands.concat(unknown);\n\n    if (operands && this._findCommand(operands[0])) {\n      return this._dispatchSubcommand(operands[0], operands.slice(1), unknown);\n    }\n    if (\n      this._getHelpCommand() &&\n      operands[0] === this._getHelpCommand().name()\n    ) {\n      return this._dispatchHelpCommand(operands[1]);\n    }\n    if (this._defaultCommandName) {\n      this._outputHelpIfRequested(unknown); // Run the help for default command from parent rather than passing to default command\n      return this._dispatchSubcommand(\n        this._defaultCommandName,\n        operands,\n        unknown,\n      );\n    }\n    if (\n      this.commands.length &&\n      this.args.length === 0 &&\n      !this._actionHandler &&\n      !this._defaultCommandName\n    ) {\n      // probably missing subcommand and no handler, user needs help (and exit)\n      this.help({ error: true });\n    }\n\n    this._outputHelpIfRequested(parsed.unknown);\n    this._checkForMissingMandatoryOptions();\n    this._checkForConflictingOptions();\n\n    // We do not always call this check to avoid masking a \"better\" error, like unknown command.\n    const checkForUnknownOptions = () => {\n      if (parsed.unknown.length > 0) {\n        this.unknownOption(parsed.unknown[0]);\n      }\n    };\n\n    const commandEvent = `command:${this.name()}`;\n    if (this._actionHandler) {\n      checkForUnknownOptions();\n      this._processArguments();\n\n      let promiseChain;\n      promiseChain = this._chainOrCallHooks(promiseChain, 'preAction');\n      promiseChain = this._chainOrCall(promiseChain, () =>\n        this._actionHandler(this.processedArgs),\n      );\n      if (this.parent) {\n        promiseChain = this._chainOrCall(promiseChain, () => {\n          this.parent.emit(commandEvent, operands, unknown); // legacy\n        });\n      }\n      promiseChain = this._chainOrCallHooks(promiseChain, 'postAction');\n      return promiseChain;\n    }\n    if (this.parent && this.parent.listenerCount(commandEvent)) {\n      checkForUnknownOptions();\n      this._processArguments();\n      this.parent.emit(commandEvent, operands, unknown); // legacy\n    } else if (operands.length) {\n      if (this._findCommand('*')) {\n        // legacy default command\n        return this._dispatchSubcommand('*', operands, unknown);\n      }\n      if (this.listenerCount('command:*')) {\n        // skip option check, emit event for possible misspelling suggestion\n        this.emit('command:*', operands, unknown);\n      } else if (this.commands.length) {\n        this.unknownCommand();\n      } else {\n        checkForUnknownOptions();\n        this._processArguments();\n      }\n    } else if (this.commands.length) {\n      checkForUnknownOptions();\n      // This command has subcommands and nothing hooked up at this level, so display help (and exit).\n      this.help({ error: true });\n    } else {\n      checkForUnknownOptions();\n      this._processArguments();\n      // fall through for caller to handle after calling .parse()\n    }\n  }\n\n  /**\n   * Find matching command.\n   *\n   * @private\n   * @return {Command | undefined}\n   */\n  _findCommand(name) {\n    if (!name) return undefined;\n    return this.commands.find(\n      (cmd) => cmd._name === name || cmd._aliases.includes(name),\n    );\n  }\n\n  /**\n   * Return an option matching `arg` if any.\n   *\n   * @param {string} arg\n   * @return {Option}\n   * @package\n   */\n\n  _findOption(arg) {\n    return this.options.find((option) => option.is(arg));\n  }\n\n  /**\n   * Display an error message if a mandatory option does not have a value.\n   * Called after checking for help flags in leaf subcommand.\n   *\n   * @private\n   */\n\n  _checkForMissingMandatoryOptions() {\n    // Walk up hierarchy so can call in subcommand after checking for displaying help.\n    this._getCommandAndAncestors().forEach((cmd) => {\n      cmd.options.forEach((anOption) => {\n        if (\n          anOption.mandatory &&\n          cmd.getOptionValue(anOption.attributeName()) === undefined\n        ) {\n          cmd.missingMandatoryOptionValue(anOption);\n        }\n      });\n    });\n  }\n\n  /**\n   * Display an error message if conflicting options are used together in this.\n   *\n   * @private\n   */\n  _checkForConflictingLocalOptions() {\n    const definedNonDefaultOptions = this.options.filter((option) => {\n      const optionKey = option.attributeName();\n      if (this.getOptionValue(optionKey) === undefined) {\n        return false;\n      }\n      return this.getOptionValueSource(optionKey) !== 'default';\n    });\n\n    const optionsWithConflicting = definedNonDefaultOptions.filter(\n      (option) => option.conflictsWith.length > 0,\n    );\n\n    optionsWithConflicting.forEach((option) => {\n      const conflictingAndDefined = definedNonDefaultOptions.find((defined) =>\n        option.conflictsWith.includes(defined.attributeName()),\n      );\n      if (conflictingAndDefined) {\n        this._conflictingOption(option, conflictingAndDefined);\n      }\n    });\n  }\n\n  /**\n   * Display an error message if conflicting options are used together.\n   * Called after checking for help flags in leaf subcommand.\n   *\n   * @private\n   */\n  _checkForConflictingOptions() {\n    // Walk up hierarchy so can call in subcommand after checking for displaying help.\n    this._getCommandAndAncestors().forEach((cmd) => {\n      cmd._checkForConflictingLocalOptions();\n    });\n  }\n\n  /**\n   * Parse options from `argv` removing known options,\n   * and return argv split into operands and unknown arguments.\n   *\n   * Side effects: modifies command by storing options. Does not reset state if called again.\n   *\n   * Examples:\n   *\n   *     argv => operands, unknown\n   *     --known kkk op => [op], []\n   *     op --known kkk => [op], []\n   *     sub --unknown uuu op => [sub], [--unknown uuu op]\n   *     sub -- --unknown uuu op => [sub --unknown uuu op], []\n   *\n   * @param {string[]} argv\n   * @return {{operands: string[], unknown: string[]}}\n   */\n\n  parseOptions(argv) {\n    const operands = []; // operands, not options or values\n    const unknown = []; // first unknown option and remaining unknown args\n    let dest = operands;\n    const args = argv.slice();\n\n    function maybeOption(arg) {\n      return arg.length > 1 && arg[0] === '-';\n    }\n\n    // parse options\n    let activeVariadicOption = null;\n    while (args.length) {\n      const arg = args.shift();\n\n      // literal\n      if (arg === '--') {\n        if (dest === unknown) dest.push(arg);\n        dest.push(...args);\n        break;\n      }\n\n      if (activeVariadicOption && !maybeOption(arg)) {\n        this.emit(`option:${activeVariadicOption.name()}`, arg);\n        continue;\n      }\n      activeVariadicOption = null;\n\n      if (maybeOption(arg)) {\n        const option = this._findOption(arg);\n        // recognised option, call listener to assign value with possible custom processing\n        if (option) {\n          if (option.required) {\n            const value = args.shift();\n            if (value === undefined) this.optionMissingArgument(option);\n            this.emit(`option:${option.name()}`, value);\n          } else if (option.optional) {\n            let value = null;\n            // historical behaviour is optional value is following arg unless an option\n            if (args.length > 0 && !maybeOption(args[0])) {\n              value = args.shift();\n            }\n            this.emit(`option:${option.name()}`, value);\n          } else {\n            // boolean flag\n            this.emit(`option:${option.name()}`);\n          }\n          activeVariadicOption = option.variadic ? option : null;\n          continue;\n        }\n      }\n\n      // Look for combo options following single dash, eat first one if known.\n      if (arg.length > 2 && arg[0] === '-' && arg[1] !== '-') {\n        const option = this._findOption(`-${arg[1]}`);\n        if (option) {\n          if (\n            option.required ||\n            (option.optional && this._combineFlagAndOptionalValue)\n          ) {\n            // option with value following in same argument\n            this.emit(`option:${option.name()}`, arg.slice(2));\n          } else {\n            // boolean option, emit and put back remainder of arg for further processing\n            this.emit(`option:${option.name()}`);\n            args.unshift(`-${arg.slice(2)}`);\n          }\n          continue;\n        }\n      }\n\n      // Look for known long flag with value, like --foo=bar\n      if (/^--[^=]+=/.test(arg)) {\n        const index = arg.indexOf('=');\n        const option = this._findOption(arg.slice(0, index));\n        if (option && (option.required || option.optional)) {\n          this.emit(`option:${option.name()}`, arg.slice(index + 1));\n          continue;\n        }\n      }\n\n      // Not a recognised option by this command.\n      // Might be a command-argument, or subcommand option, or unknown option, or help command or option.\n\n      // An unknown option means further arguments also classified as unknown so can be reprocessed by subcommands.\n      if (maybeOption(arg)) {\n        dest = unknown;\n      }\n\n      // If using positionalOptions, stop processing our options at subcommand.\n      if (\n        (this._enablePositionalOptions || this._passThroughOptions) &&\n        operands.length === 0 &&\n        unknown.length === 0\n      ) {\n        if (this._findCommand(arg)) {\n          operands.push(arg);\n          if (args.length > 0) unknown.push(...args);\n          break;\n        } else if (\n          this._getHelpCommand() &&\n          arg === this._getHelpCommand().name()\n        ) {\n          operands.push(arg);\n          if (args.length > 0) operands.push(...args);\n          break;\n        } else if (this._defaultCommandName) {\n          unknown.push(arg);\n          if (args.length > 0) unknown.push(...args);\n          break;\n        }\n      }\n\n      // If using passThroughOptions, stop processing options at first command-argument.\n      if (this._passThroughOptions) {\n        dest.push(arg);\n        if (args.length > 0) dest.push(...args);\n        break;\n      }\n\n      // add arg\n      dest.push(arg);\n    }\n\n    return { operands, unknown };\n  }\n\n  /**\n   * Return an object containing local option values as key-value pairs.\n   *\n   * @return {object}\n   */\n  opts() {\n    if (this._storeOptionsAsProperties) {\n      // Preserve original behaviour so backwards compatible when still using properties\n      const result = {};\n      const len = this.options.length;\n\n      for (let i = 0; i < len; i++) {\n        const key = this.options[i].attributeName();\n        result[key] =\n          key === this._versionOptionName ? this._version : this[key];\n      }\n      return result;\n    }\n\n    return this._optionValues;\n  }\n\n  /**\n   * Return an object containing merged local and global option values as key-value pairs.\n   *\n   * @return {object}\n   */\n  optsWithGlobals() {\n    // globals overwrite locals\n    return this._getCommandAndAncestors().reduce(\n      (combinedOptions, cmd) => Object.assign(combinedOptions, cmd.opts()),\n      {},\n    );\n  }\n\n  /**\n   * Display error message and exit (or call exitOverride).\n   *\n   * @param {string} message\n   * @param {object} [errorOptions]\n   * @param {string} [errorOptions.code] - an id string representing the error\n   * @param {number} [errorOptions.exitCode] - used with process.exit\n   */\n  error(message, errorOptions) {\n    // output handling\n    this._outputConfiguration.outputError(\n      `${message}\\n`,\n      this._outputConfiguration.writeErr,\n    );\n    if (typeof this._showHelpAfterError === 'string') {\n      this._outputConfiguration.writeErr(`${this._showHelpAfterError}\\n`);\n    } else if (this._showHelpAfterError) {\n      this._outputConfiguration.writeErr('\\n');\n      this.outputHelp({ error: true });\n    }\n\n    // exit handling\n    const config = errorOptions || {};\n    const exitCode = config.exitCode || 1;\n    const code = config.code || 'commander.error';\n    this._exit(exitCode, code, message);\n  }\n\n  /**\n   * Apply any option related environment variables, if option does\n   * not have a value from cli or client code.\n   *\n   * @private\n   */\n  _parseOptionsEnv() {\n    this.options.forEach((option) => {\n      if (option.envVar && option.envVar in process.env) {\n        const optionKey = option.attributeName();\n        // Priority check. Do not overwrite cli or options from unknown source (client-code).\n        if (\n          this.getOptionValue(optionKey) === undefined ||\n          ['default', 'config', 'env'].includes(\n            this.getOptionValueSource(optionKey),\n          )\n        ) {\n          if (option.required || option.optional) {\n            // option can take a value\n            // keep very simple, optional always takes value\n            this.emit(`optionEnv:${option.name()}`, process.env[option.envVar]);\n          } else {\n            // boolean\n            // keep very simple, only care that envVar defined and not the value\n            this.emit(`optionEnv:${option.name()}`);\n          }\n        }\n      }\n    });\n  }\n\n  /**\n   * Apply any implied option values, if option is undefined or default value.\n   *\n   * @private\n   */\n  _parseOptionsImplied() {\n    const dualHelper = new DualOptions(this.options);\n    const hasCustomOptionValue = (optionKey) => {\n      return (\n        this.getOptionValue(optionKey) !== undefined &&\n        !['default', 'implied'].includes(this.getOptionValueSource(optionKey))\n      );\n    };\n    this.options\n      .filter(\n        (option) =>\n          option.implied !== undefined &&\n          hasCustomOptionValue(option.attributeName()) &&\n          dualHelper.valueFromOption(\n            this.getOptionValue(option.attributeName()),\n            option,\n          ),\n      )\n      .forEach((option) => {\n        Object.keys(option.implied)\n          .filter((impliedKey) => !hasCustomOptionValue(impliedKey))\n          .forEach((impliedKey) => {\n            this.setOptionValueWithSource(\n              impliedKey,\n              option.implied[impliedKey],\n              'implied',\n            );\n          });\n      });\n  }\n\n  /**\n   * Argument `name` is missing.\n   *\n   * @param {string} name\n   * @private\n   */\n\n  missingArgument(name) {\n    const message = `error: missing required argument '${name}'`;\n    this.error(message, { code: 'commander.missingArgument' });\n  }\n\n  /**\n   * `Option` is missing an argument.\n   *\n   * @param {Option} option\n   * @private\n   */\n\n  optionMissingArgument(option) {\n    const message = `error: option '${option.flags}' argument missing`;\n    this.error(message, { code: 'commander.optionMissingArgument' });\n  }\n\n  /**\n   * `Option` does not have a value, and is a mandatory option.\n   *\n   * @param {Option} option\n   * @private\n   */\n\n  missingMandatoryOptionValue(option) {\n    const message = `error: required option '${option.flags}' not specified`;\n    this.error(message, { code: 'commander.missingMandatoryOptionValue' });\n  }\n\n  /**\n   * `Option` conflicts with another option.\n   *\n   * @param {Option} option\n   * @param {Option} conflictingOption\n   * @private\n   */\n  _conflictingOption(option, conflictingOption) {\n    // The calling code does not know whether a negated option is the source of the\n    // value, so do some work to take an educated guess.\n    const findBestOptionFromValue = (option) => {\n      const optionKey = option.attributeName();\n      const optionValue = this.getOptionValue(optionKey);\n      const negativeOption = this.options.find(\n        (target) => target.negate && optionKey === target.attributeName(),\n      );\n      const positiveOption = this.options.find(\n        (target) => !target.negate && optionKey === target.attributeName(),\n      );\n      if (\n        negativeOption &&\n        ((negativeOption.presetArg === undefined && optionValue === false) ||\n          (negativeOption.presetArg !== undefined &&\n            optionValue === negativeOption.presetArg))\n      ) {\n        return negativeOption;\n      }\n      return positiveOption || option;\n    };\n\n    const getErrorMessage = (option) => {\n      const bestOption = findBestOptionFromValue(option);\n      const optionKey = bestOption.attributeName();\n      const source = this.getOptionValueSource(optionKey);\n      if (source === 'env') {\n        return `environment variable '${bestOption.envVar}'`;\n      }\n      return `option '${bestOption.flags}'`;\n    };\n\n    const message = `error: ${getErrorMessage(option)} cannot be used with ${getErrorMessage(conflictingOption)}`;\n    this.error(message, { code: 'commander.conflictingOption' });\n  }\n\n  /**\n   * Unknown option `flag`.\n   *\n   * @param {string} flag\n   * @private\n   */\n\n  unknownOption(flag) {\n    if (this._allowUnknownOption) return;\n    let suggestion = '';\n\n    if (flag.startsWith('--') && this._showSuggestionAfterError) {\n      // Looping to pick up the global options too\n      let candidateFlags = [];\n      // eslint-disable-next-line @typescript-eslint/no-this-alias\n      let command = this;\n      do {\n        const moreFlags = command\n          .createHelp()\n          .visibleOptions(command)\n          .filter((option) => option.long)\n          .map((option) => option.long);\n        candidateFlags = candidateFlags.concat(moreFlags);\n        command = command.parent;\n      } while (command && !command._enablePositionalOptions);\n      suggestion = suggestSimilar(flag, candidateFlags);\n    }\n\n    const message = `error: unknown option '${flag}'${suggestion}`;\n    this.error(message, { code: 'commander.unknownOption' });\n  }\n\n  /**\n   * Excess arguments, more than expected.\n   *\n   * @param {string[]} receivedArgs\n   * @private\n   */\n\n  _excessArguments(receivedArgs) {\n    if (this._allowExcessArguments) return;\n\n    const expected = this.registeredArguments.length;\n    const s = expected === 1 ? '' : 's';\n    const forSubcommand = this.parent ? ` for '${this.name()}'` : '';\n    const message = `error: too many arguments${forSubcommand}. Expected ${expected} argument${s} but got ${receivedArgs.length}.`;\n    this.error(message, { code: 'commander.excessArguments' });\n  }\n\n  /**\n   * Unknown command.\n   *\n   * @private\n   */\n\n  unknownCommand() {\n    const unknownName = this.args[0];\n    let suggestion = '';\n\n    if (this._showSuggestionAfterError) {\n      const candidateNames = [];\n      this.createHelp()\n        .visibleCommands(this)\n        .forEach((command) => {\n          candidateNames.push(command.name());\n          // just visible alias\n          if (command.alias()) candidateNames.push(command.alias());\n        });\n      suggestion = suggestSimilar(unknownName, candidateNames);\n    }\n\n    const message = `error: unknown command '${unknownName}'${suggestion}`;\n    this.error(message, { code: 'commander.unknownCommand' });\n  }\n\n  /**\n   * Get or set the program version.\n   *\n   * This method auto-registers the \"-V, --version\" option which will print the version number.\n   *\n   * You can optionally supply the flags and description to override the defaults.\n   *\n   * @param {string} [str]\n   * @param {string} [flags]\n   * @param {string} [description]\n   * @return {(this | string | undefined)} `this` command for chaining, or version string if no arguments\n   */\n\n  version(str, flags, description) {\n    if (str === undefined) return this._version;\n    this._version = str;\n    flags = flags || '-V, --version';\n    description = description || 'output the version number';\n    const versionOption = this.createOption(flags, description);\n    this._versionOptionName = versionOption.attributeName();\n    this._registerOption(versionOption);\n\n    this.on('option:' + versionOption.name(), () => {\n      this._outputConfiguration.writeOut(`${str}\\n`);\n      this._exit(0, 'commander.version', str);\n    });\n    return this;\n  }\n\n  /**\n   * Set the description.\n   *\n   * @param {string} [str]\n   * @param {object} [argsDescription]\n   * @return {(string|Command)}\n   */\n  description(str, argsDescription) {\n    if (str === undefined && argsDescription === undefined)\n      return this._description;\n    this._description = str;\n    if (argsDescription) {\n      this._argsDescription = argsDescription;\n    }\n    return this;\n  }\n\n  /**\n   * Set the summary. Used when listed as subcommand of parent.\n   *\n   * @param {string} [str]\n   * @return {(string|Command)}\n   */\n  summary(str) {\n    if (str === undefined) return this._summary;\n    this._summary = str;\n    return this;\n  }\n\n  /**\n   * Set an alias for the command.\n   *\n   * You may call more than once to add multiple aliases. Only the first alias is shown in the auto-generated help.\n   *\n   * @param {string} [alias]\n   * @return {(string|Command)}\n   */\n\n  alias(alias) {\n    if (alias === undefined) return this._aliases[0]; // just return first, for backwards compatibility\n\n    /** @type {Command} */\n    // eslint-disable-next-line @typescript-eslint/no-this-alias\n    let command = this;\n    if (\n      this.commands.length !== 0 &&\n      this.commands[this.commands.length - 1]._executableHandler\n    ) {\n      // assume adding alias for last added executable subcommand, rather than this\n      command = this.commands[this.commands.length - 1];\n    }\n\n    if (alias === command._name)\n      throw new Error(\"Command alias can't be the same as its name\");\n    const matchingCommand = this.parent?._findCommand(alias);\n    if (matchingCommand) {\n      // c.f. _registerCommand\n      const existingCmd = [matchingCommand.name()]\n        .concat(matchingCommand.aliases())\n        .join('|');\n      throw new Error(\n        `cannot add alias '${alias}' to command '${this.name()}' as already have command '${existingCmd}'`,\n      );\n    }\n\n    command._aliases.push(alias);\n    return this;\n  }\n\n  /**\n   * Set aliases for the command.\n   *\n   * Only the first alias is shown in the auto-generated help.\n   *\n   * @param {string[]} [aliases]\n   * @return {(string[]|Command)}\n   */\n\n  aliases(aliases) {\n    // Getter for the array of aliases is the main reason for having aliases() in addition to alias().\n    if (aliases === undefined) return this._aliases;\n\n    aliases.forEach((alias) => this.alias(alias));\n    return this;\n  }\n\n  /**\n   * Set / get the command usage `str`.\n   *\n   * @param {string} [str]\n   * @return {(string|Command)}\n   */\n\n  usage(str) {\n    if (str === undefined) {\n      if (this._usage) return this._usage;\n\n      const args = this.registeredArguments.map((arg) => {\n        return humanReadableArgName(arg);\n      });\n      return []\n        .concat(\n          this.options.length || this._helpOption !== null ? '[options]' : [],\n          this.commands.length ? '[command]' : [],\n          this.registeredArguments.length ? args : [],\n        )\n        .join(' ');\n    }\n\n    this._usage = str;\n    return this;\n  }\n\n  /**\n   * Get or set the name of the command.\n   *\n   * @param {string} [str]\n   * @return {(string|Command)}\n   */\n\n  name(str) {\n    if (str === undefined) return this._name;\n    this._name = str;\n    return this;\n  }\n\n  /**\n   * Set the name of the command from script filename, such as process.argv[1],\n   * or require.main.filename, or __filename.\n   *\n   * (Used internally and public although not documented in README.)\n   *\n   * @example\n   * program.nameFromFilename(require.main.filename);\n   *\n   * @param {string} filename\n   * @return {Command}\n   */\n\n  nameFromFilename(filename) {\n    this._name = path.basename(filename, path.extname(filename));\n\n    return this;\n  }\n\n  /**\n   * Get or set the directory for searching for executable subcommands of this command.\n   *\n   * @example\n   * program.executableDir(__dirname);\n   * // or\n   * program.executableDir('subcommands');\n   *\n   * @param {string} [path]\n   * @return {(string|null|Command)}\n   */\n\n  executableDir(path) {\n    if (path === undefined) return this._executableDir;\n    this._executableDir = path;\n    return this;\n  }\n\n  /**\n   * Return program help documentation.\n   *\n   * @param {{ error: boolean }} [contextOptions] - pass {error:true} to wrap for stderr instead of stdout\n   * @return {string}\n   */\n\n  helpInformation(contextOptions) {\n    const helper = this.createHelp();\n    const context = this._getOutputContext(contextOptions);\n    helper.prepareContext({\n      error: context.error,\n      helpWidth: context.helpWidth,\n      outputHasColors: context.hasColors,\n    });\n    const text = helper.formatHelp(this, helper);\n    if (context.hasColors) return text;\n    return this._outputConfiguration.stripColor(text);\n  }\n\n  /**\n   * @typedef HelpContext\n   * @type {object}\n   * @property {boolean} error\n   * @property {number} helpWidth\n   * @property {boolean} hasColors\n   * @property {function} write - includes stripColor if needed\n   *\n   * @returns {HelpContext}\n   * @private\n   */\n\n  _getOutputContext(contextOptions) {\n    contextOptions = contextOptions || {};\n    const error = !!contextOptions.error;\n    let baseWrite;\n    let hasColors;\n    let helpWidth;\n    if (error) {\n      baseWrite = (str) => this._outputConfiguration.writeErr(str);\n      hasColors = this._outputConfiguration.getErrHasColors();\n      helpWidth = this._outputConfiguration.getErrHelpWidth();\n    } else {\n      baseWrite = (str) => this._outputConfiguration.writeOut(str);\n      hasColors = this._outputConfiguration.getOutHasColors();\n      helpWidth = this._outputConfiguration.getOutHelpWidth();\n    }\n    const write = (str) => {\n      if (!hasColors) str = this._outputConfiguration.stripColor(str);\n      return baseWrite(str);\n    };\n    return { error, write, hasColors, helpWidth };\n  }\n\n  /**\n   * Output help information for this command.\n   *\n   * Outputs built-in help, and custom text added using `.addHelpText()`.\n   *\n   * @param {{ error: boolean } | Function} [contextOptions] - pass {error:true} to write to stderr instead of stdout\n   */\n\n  outputHelp(contextOptions) {\n    let deprecatedCallback;\n    if (typeof contextOptions === 'function') {\n      deprecatedCallback = contextOptions;\n      contextOptions = undefined;\n    }\n\n    const outputContext = this._getOutputContext(contextOptions);\n    /** @type {HelpTextEventContext} */\n    const eventContext = {\n      error: outputContext.error,\n      write: outputContext.write,\n      command: this,\n    };\n\n    this._getCommandAndAncestors()\n      .reverse()\n      .forEach((command) => command.emit('beforeAllHelp', eventContext));\n    this.emit('beforeHelp', eventContext);\n\n    let helpInformation = this.helpInformation({ error: outputContext.error });\n    if (deprecatedCallback) {\n      helpInformation = deprecatedCallback(helpInformation);\n      if (\n        typeof helpInformation !== 'string' &&\n        !Buffer.isBuffer(helpInformation)\n      ) {\n        throw new Error('outputHelp callback must return a string or a Buffer');\n      }\n    }\n    outputContext.write(helpInformation);\n\n    if (this._getHelpOption()?.long) {\n      this.emit(this._getHelpOption().long); // deprecated\n    }\n    this.emit('afterHelp', eventContext);\n    this._getCommandAndAncestors().forEach((command) =>\n      command.emit('afterAllHelp', eventContext),\n    );\n  }\n\n  /**\n   * You can pass in flags and a description to customise the built-in help option.\n   * Pass in false to disable the built-in help option.\n   *\n   * @example\n   * program.helpOption('-?, --help' 'show help'); // customise\n   * program.helpOption(false); // disable\n   *\n   * @param {(string | boolean)} flags\n   * @param {string} [description]\n   * @return {Command} `this` command for chaining\n   */\n\n  helpOption(flags, description) {\n    // Support disabling built-in help option.\n    if (typeof flags === 'boolean') {\n      // true is not an expected value. Do something sensible but no unit-test.\n      // istanbul ignore if\n      if (flags) {\n        this._helpOption = this._helpOption ?? undefined; // preserve existing option\n      } else {\n        this._helpOption = null; // disable\n      }\n      return this;\n    }\n\n    // Customise flags and description.\n    flags = flags ?? '-h, --help';\n    description = description ?? 'display help for command';\n    this._helpOption = this.createOption(flags, description);\n\n    return this;\n  }\n\n  /**\n   * Lazy create help option.\n   * Returns null if has been disabled with .helpOption(false).\n   *\n   * @returns {(Option | null)} the help option\n   * @package\n   */\n  _getHelpOption() {\n    // Lazy create help option on demand.\n    if (this._helpOption === undefined) {\n      this.helpOption(undefined, undefined);\n    }\n    return this._helpOption;\n  }\n\n  /**\n   * Supply your own option to use for the built-in help option.\n   * This is an alternative to using helpOption() to customise the flags and description etc.\n   *\n   * @param {Option} option\n   * @return {Command} `this` command for chaining\n   */\n  addHelpOption(option) {\n    this._helpOption = option;\n    return this;\n  }\n\n  /**\n   * Output help information and exit.\n   *\n   * Outputs built-in help, and custom text added using `.addHelpText()`.\n   *\n   * @param {{ error: boolean }} [contextOptions] - pass {error:true} to write to stderr instead of stdout\n   */\n\n  help(contextOptions) {\n    this.outputHelp(contextOptions);\n    let exitCode = Number(process.exitCode ?? 0); // process.exitCode does allow a string or an integer, but we prefer just a number\n    if (\n      exitCode === 0 &&\n      contextOptions &&\n      typeof contextOptions !== 'function' &&\n      contextOptions.error\n    ) {\n      exitCode = 1;\n    }\n    // message: do not have all displayed text available so only passing placeholder.\n    this._exit(exitCode, 'commander.help', '(outputHelp)');\n  }\n\n  /**\n   * // Do a little typing to coordinate emit and listener for the help text events.\n   * @typedef HelpTextEventContext\n   * @type {object}\n   * @property {boolean} error\n   * @property {Command} command\n   * @property {function} write\n   */\n\n  /**\n   * Add additional text to be displayed with the built-in help.\n   *\n   * Position is 'before' or 'after' to affect just this command,\n   * and 'beforeAll' or 'afterAll' to affect this command and all its subcommands.\n   *\n   * @param {string} position - before or after built-in help\n   * @param {(string | Function)} text - string to add, or a function returning a string\n   * @return {Command} `this` command for chaining\n   */\n\n  addHelpText(position, text) {\n    const allowedValues = ['beforeAll', 'before', 'after', 'afterAll'];\n    if (!allowedValues.includes(position)) {\n      throw new Error(`Unexpected value for position to addHelpText.\nExpecting one of '${allowedValues.join(\"', '\")}'`);\n    }\n\n    const helpEvent = `${position}Help`;\n    this.on(helpEvent, (/** @type {HelpTextEventContext} */ context) => {\n      let helpStr;\n      if (typeof text === 'function') {\n        helpStr = text({ error: context.error, command: context.command });\n      } else {\n        helpStr = text;\n      }\n      // Ignore falsy value when nothing to output.\n      if (helpStr) {\n        context.write(`${helpStr}\\n`);\n      }\n    });\n    return this;\n  }\n\n  /**\n   * Output help information if help flags specified\n   *\n   * @param {Array} args - array of options to search for help flags\n   * @private\n   */\n\n  _outputHelpIfRequested(args) {\n    const helpOption = this._getHelpOption();\n    const helpRequested = helpOption && args.find((arg) => helpOption.is(arg));\n    if (helpRequested) {\n      this.outputHelp();\n      // (Do not have all displayed text available so only passing placeholder.)\n      this._exit(0, 'commander.helpDisplayed', '(outputHelp)');\n    }\n  }\n}\n\n/**\n * Scan arguments and increment port number for inspect calls (to avoid conflicts when spawning new command).\n *\n * @param {string[]} args - array of arguments from node.execArgv\n * @returns {string[]}\n * @private\n */\n\nfunction incrementNodeInspectorPort(args) {\n  // Testing for these options:\n  //  --inspect[=[host:]port]\n  //  --inspect-brk[=[host:]port]\n  //  --inspect-port=[host:]port\n  return args.map((arg) => {\n    if (!arg.startsWith('--inspect')) {\n      return arg;\n    }\n    let debugOption;\n    let debugHost = '127.0.0.1';\n    let debugPort = '9229';\n    let match;\n    if ((match = arg.match(/^(--inspect(-brk)?)$/)) !== null) {\n      // e.g. --inspect\n      debugOption = match[1];\n    } else if (\n      (match = arg.match(/^(--inspect(-brk|-port)?)=([^:]+)$/)) !== null\n    ) {\n      debugOption = match[1];\n      if (/^\\d+$/.test(match[3])) {\n        // e.g. --inspect=1234\n        debugPort = match[3];\n      } else {\n        // e.g. --inspect=localhost\n        debugHost = match[3];\n      }\n    } else if (\n      (match = arg.match(/^(--inspect(-brk|-port)?)=([^:]+):(\\d+)$/)) !== null\n    ) {\n      // e.g. --inspect=localhost:1234\n      debugOption = match[1];\n      debugHost = match[3];\n      debugPort = match[4];\n    }\n\n    if (debugOption && debugPort !== '0') {\n      return `${debugOption}=${debugHost}:${parseInt(debugPort) + 1}`;\n    }\n    return arg;\n  });\n}\n\n/**\n * @returns {boolean | undefined}\n * @package\n */\nfunction useColor() {\n  // Test for common conventions.\n  // NB: the observed behaviour is in combination with how author adds color! For example:\n  //   - we do not test NODE_DISABLE_COLORS, but util:styletext does\n  //   - we do test NO_COLOR, but Chalk does not\n  //\n  // References:\n  // https://no-color.org\n  // https://bixense.com/clicolors/\n  // https://github.com/nodejs/node/blob/0a00217a5f67ef4a22384cfc80eb6dd9a917fdc1/lib/internal/tty.js#L109\n  // https://github.com/chalk/supports-color/blob/c214314a14bcb174b12b3014b2b0a8de375029ae/index.js#L33\n  // (https://force-color.org recent web page from 2023, does not match major javascript implementations)\n\n  if (\n    process.env.NO_COLOR ||\n    process.env.FORCE_COLOR === '0' ||\n    process.env.FORCE_COLOR === 'false'\n  )\n    return false;\n  if (process.env.FORCE_COLOR || process.env.CLICOLOR_FORCE !== undefined)\n    return true;\n  return undefined;\n}\n\nexports.Command = Command;\nexports.useColor = useColor; // exporting for tests\n", "const { Argument } = require('./lib/argument.js');\nconst { Command } = require('./lib/command.js');\nconst { CommanderError, InvalidArgumentError } = require('./lib/error.js');\nconst { Help } = require('./lib/help.js');\nconst { Option } = require('./lib/option.js');\n\nexports.program = new Command();\n\nexports.createCommand = (name) => new Command(name);\nexports.createOption = (flags, description) => new Option(flags, description);\nexports.createArgument = (name, description) => new Argument(name, description);\n\n/**\n * Expose classes\n */\n\nexports.Command = Command;\nexports.Option = Option;\nexports.Argument = Argument;\nexports.Help = Help;\n\nexports.CommanderError = CommanderError;\nexports.InvalidArgumentError = InvalidArgumentError;\nexports.InvalidOptionArgumentError = InvalidArgumentError; // Deprecated\n", "import commander from './index.js';\n\n// wrapper to provide named exports for ESM.\nexport const {\n  program,\n  createCommand,\n  createArgument,\n  createOption,\n  CommanderError,\n  InvalidArgumentError,\n  InvalidOptionArgumentError, // deprecated old name\n  Command,\n  Argument,\n  Option,\n  Help,\n} = commander;\n", "{\n  \"models\": [\n    {\n      \"id\": \"codestral-latest\",\n      \"name\": \"Codestral (Latest)\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 256000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"code\", \"free\", \"recommended\"]\n    },\n    {\n      \"id\": \"mistral-large-2512\",\n      \"name\": \"Mistral Large 2512\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V1\",\n      \"name\": \"DeepSeek V1\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V2\",\n      \"name\": \"DeepSeek V2\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V3\",\n      \"name\": \"DeepSeek V3\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\", \"recommended\"]\n    },\n    {\n      \"id\": \"DeepSeek-V2.5\",\n      \"name\": \"DeepSeek V2.5\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V3-0324\",\n      \"name\": \"DeepSeek V3 0324\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V3.1\",\n      \"name\": \"DeepSeek V3.1\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-V3.2\",\n      \"name\": \"DeepSeek V3.2\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-R1\",\n      \"name\": \"DeepSeek R1\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"reasoning\", \"free\", \"recommended\"]\n    },\n    {\n      \"id\": \"DeepSeek-R1-0528\",\n      \"name\": \"DeepSeek R1 0528\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"reasoning\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-VL\",\n      \"name\": \"DeepSeek VL\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": true,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"vision\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-Coder\",\n      \"name\": \"DeepSeek Coder\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"code\", \"free\"]\n    },\n    {\n      \"id\": \"DeepSeek-Coder-V2\",\n      \"name\": \"DeepSeek Coder V2\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"code\", \"free\", \"recommended\"]\n    },\n    {\n      \"id\": \"DeepSeek-Coder-6.7B-instruct\",\n      \"name\": \"DeepSeek Coder 6.7B Instruct\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"code\", \"free\"]\n    },\n    {\n      \"id\": \"voxtral-small-2507\",\n      \"name\": \"Voxtral Small 2507\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 32000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": false,\n        \"reasoning\": false,\n        \"vision\": false,\n        \"audio\": true,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"audio\", \"free\"]\n    },\n    {\n      \"id\": \"ministral-14b-2512\",\n      \"name\": \"Ministral 14B 2512\",\n      \"provider\": \"bravecode\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": false\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-chat:free\",\n      \"name\": \"DeepSeek Chat (OpenRouter Free)\",\n      \"provider\": \"openrouter\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-coder:free\",\n      \"name\": \"DeepSeek Coder (OpenRouter Free)\",\n      \"provider\": \"openrouter\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"code\", \"free\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-r1:free\",\n      \"name\": \"DeepSeek R1 (OpenRouter Free)\",\n      \"provider\": \"openrouter\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"reasoning\", \"free\"]\n    },\n    {\n      \"id\": \"mistralai/mistral-7b-instruct:free\",\n      \"name\": \"Mistral 7B Instruct (OpenRouter Free)\",\n      \"provider\": \"openrouter\",\n      \"contextWindow\": 32000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"meta-llama/llama-3-8b-instruct:free\",\n      \"name\": \"Llama 3 8B Instruct (OpenRouter Free)\",\n      \"provider\": \"openrouter\",\n      \"contextWindow\": 8192,\n      \"maxOutputTokens\": 8192,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0,\n        \"output\": 0\n      },\n      \"tags\": [\"general\", \"free\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-chat\",\n      \"name\": \"DeepSeek Chat (9Router)\",\n      \"provider\": \"9router\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0.14,\n        \"output\": 0.28\n      },\n      \"tags\": [\"general\", \"paid\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-coder\",\n      \"name\": \"DeepSeek Coder (9Router)\",\n      \"provider\": \"9router\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0.14,\n        \"output\": 0.28\n      },\n      \"tags\": [\"code\", \"paid\"]\n    },\n    {\n      \"id\": \"deepseek/deepseek-r1\",\n      \"name\": \"DeepSeek R1 (9Router)\",\n      \"provider\": \"9router\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0.55,\n        \"output\": 2.19\n      },\n      \"tags\": [\"reasoning\", \"paid\"]\n    },\n    {\n      \"id\": \"mistralai/mistral-large-latest\",\n      \"name\": \"Mistral Large (9Router)\",\n      \"provider\": \"9router\",\n      \"contextWindow\": 128000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 2,\n        \"output\": 6\n      },\n      \"tags\": [\"general\", \"paid\"]\n    },\n    {\n      \"id\": \"mistralai/codestral-latest\",\n      \"name\": \"Codestral (9Router)\",\n      \"provider\": \"9router\",\n      \"contextWindow\": 256000,\n      \"maxOutputTokens\": 32000,\n      \"capabilities\": {\n        \"code\": true,\n        \"reasoning\": true,\n        \"vision\": false,\n        \"audio\": false,\n        \"functionCalling\": true\n      },\n      \"pricing\": {\n        \"input\": 0.3,\n        \"output\": 0.9\n      },\n      \"tags\": [\"code\", \"paid\"]\n    }\n  ],\n  \"providers\": {\n    \"bravecode\": {\n      \"name\": \"BraveCode AI\",\n      \"baseURL\": \"https://codero.sohailsyed.com/api\",\n      \"envKey\": \"BRAVECODE_API_KEY\",\n      \"chatEndpoint\": \"/chat\"\n    },\n    \"mistral\": {\n      \"name\": \"Mistral AI\",\n      \"baseURL\": \"https://api.mistral.ai/v1\",\n      \"envKey\": \"MISTRAL_API_KEY\"\n    },\n    \"deepseek\": {\n      \"name\": \"DeepSeek\",\n      \"baseURL\": \"https://api.deepseek.com\",\n      \"envKey\": \"DEEPSEEK_API_KEY\"\n    },\n    \"openrouter\": {\n      \"name\": \"OpenRouter\",\n      \"baseURL\": \"https://openrouter.ai/api/v1\",\n      \"envKey\": \"OPENROUTER_API_KEY\"\n    },\n    \"9router\": {\n      \"name\": \"9Router\",\n      \"baseURL\": \"https://9router.com/v1\",\n      \"envKey\": \"NINEROUTER_API_KEY\"\n    }\n  }\n}\n", "import modelsConfig from \"./models.json\";\n\nexport interface ModelConfig {\n  id: string;\n  name: string;\n  provider: string;\n  contextWindow: number;\n  maxOutputTokens: number;\n  capabilities: {\n    code: boolean;\n    reasoning: boolean;\n    vision: boolean;\n    audio: boolean;\n    functionCalling: boolean;\n  };\n  pricing: {\n    input: number;\n    output: number;\n  };\n  tags: string[];\n}\n\nexport type TaskType = \"code\" | \"reasoning\" | \"vision\" | \"audio\" | \"general\";\n\nexport interface AutoModelConfig {\n  enabled: boolean;\n  preferredProvider?: string;\n  excludeModels?: string[];\n  taskOverrides?: Partial<Record<TaskType, string>>;\n}\n\nconst defaultAutoModelConfig: AutoModelConfig = {\n  enabled: true,\n  excludeModels: [],\n};\n\nexport class AutoModelSelector {\n  private config: AutoModelConfig;\n  private models: ModelConfig[];\n\n  constructor(config: Partial<AutoModelConfig> = {}) {\n    this.config = { ...defaultAutoModelConfig, ...config };\n    this.models = modelsConfig.models as ModelConfig[];\n  }\n\n  detectTaskType(prompt: string): TaskType {\n    const lowerPrompt = prompt.toLowerCase();\n\n    // Vision detection\n    if (\n      lowerPrompt.includes(\"image\") ||\n      lowerPrompt.includes(\"screenshot\") ||\n      lowerPrompt.includes(\"picture\") ||\n      lowerPrompt.includes(\"photo\") ||\n      lowerPrompt.includes(\"visual\")\n    ) {\n      return \"vision\";\n    }\n\n    // Audio detection\n    if (\n      lowerPrompt.includes(\"audio\") ||\n      lowerPrompt.includes(\"voice\") ||\n      lowerPrompt.includes(\"speech\") ||\n      lowerPrompt.includes(\"sound\")\n    ) {\n      return \"audio\";\n    }\n\n    // Code detection\n    if (\n      lowerPrompt.includes(\"code\") ||\n      lowerPrompt.includes(\"function\") ||\n      lowerPrompt.includes(\"class\") ||\n      lowerPrompt.includes(\"implement\") ||\n      lowerPrompt.includes(\"debug\") ||\n      lowerPrompt.includes(\"refactor\") ||\n      lowerPrompt.includes(\"program\") ||\n      lowerPrompt.includes(\"script\") ||\n      lowerPrompt.includes(\"typescript\") ||\n      lowerPrompt.includes(\"javascript\") ||\n      lowerPrompt.includes(\"python\") ||\n      lowerPrompt.includes(\"rust\") ||\n      lowerPrompt.includes(\"golang\")\n    ) {\n      return \"code\";\n    }\n\n    // Reasoning detection\n    if (\n      lowerPrompt.includes(\"explain\") ||\n      lowerPrompt.includes(\"analyze\") ||\n      lowerPrompt.includes(\"reason\") ||\n      lowerPrompt.includes(\"think\") ||\n      lowerPrompt.includes(\"plan\") ||\n      lowerPrompt.includes(\"strategy\") ||\n      lowerPrompt.includes(\"compare\") ||\n      lowerPrompt.includes(\"evaluate\")\n    ) {\n      return \"reasoning\";\n    }\n\n    return \"general\";\n  }\n\n  selectModel(taskType: TaskType): ModelConfig {\n    if (!this.config.enabled) {\n      return this.getDefaultModel();\n    }\n\n    // Check for task overrides\n    if (this.config.taskOverrides?.[taskType]) {\n      const overrideId = this.config.taskOverrides[taskType];\n      const overrideModel = this.models.find((m) => m.id === overrideId);\n      if (overrideModel) {\n        return overrideModel;\n      }\n    }\n\n    // Filter available models\n    const availableModels = this.models.filter((m) => {\n      if (this.config.excludeModels?.includes(m.id)) {\n        return false;\n      }\n      if (this.config.preferredProvider && m.provider !== this.config.preferredProvider) {\n        return false;\n      }\n      return true;\n    });\n\n    // Filter by capability\n    let capabilityFiltered = availableModels.filter((m) => {\n      switch (taskType) {\n        case \"code\":\n          return m.capabilities.code;\n        case \"reasoning\":\n          return m.capabilities.reasoning;\n        case \"vision\":\n          return m.capabilities.vision;\n        case \"audio\":\n          return m.capabilities.audio;\n        default:\n          return true;\n      }\n    });\n\n    if (capabilityFiltered.length === 0) {\n      capabilityFiltered = availableModels;\n    }\n\n    // Sort by tags (recommended first) and then by context window\n    capabilityFiltered.sort((a, b) => {\n      const aRecommended = a.tags.includes(\"recommended\") ? 1 : 0;\n      const bRecommended = b.tags.includes(\"recommended\") ? 1 : 0;\n      if (aRecommended !== bRecommended) {\n        return bRecommended - aRecommended;\n      }\n      return b.contextWindow - a.contextWindow;\n    });\n\n    return capabilityFiltered[0] || this.getDefaultModel();\n  }\n\n  getDefaultModel(): ModelConfig {\n    return (\n      this.models.find((m) => m.tags.includes(\"recommended\")) ||\n      this.models[0]\n    );\n  }\n\n  getModelById(id: string): ModelConfig | undefined {\n    return this.models.find((m) => m.id === id);\n  }\n\n  getModelsByProvider(provider: string): ModelConfig[] {\n    return this.models.filter((m) => m.provider === provider);\n  }\n\n  getModelsByCapability(capability: keyof ModelConfig[\"capabilities\"]): ModelConfig[] {\n    return this.models.filter((m) => m.capabilities[capability]);\n  }\n\n  listModels(): ModelConfig[] {\n    return this.models;\n  }\n}\n", "/**\n * Symbol used for identifying AI SDK Error instances.\n * Enables checking if an error is an instance of AISDKError across package versions.\n */\nconst marker = 'vercel.ai.error';\nconst symbol = Symbol.for(marker);\n\n/**\n * Custom error class for AI SDK related errors.\n * @extends Error\n */\nexport class AISDKError extends Error {\n  private readonly [symbol] = true; // used in isInstance\n\n  /**\n   * The underlying cause of the error, if any.\n   */\n  readonly cause?: unknown;\n\n  /**\n   * Creates an AI SDK Error.\n   *\n   * @param {Object} params - The parameters for creating the error.\n   * @param {string} params.name - The name of the error.\n   * @param {string} params.message - The error message.\n   * @param {unknown} [params.cause] - The underlying cause of the error.\n   */\n  constructor({\n    name,\n    message,\n    cause,\n  }: {\n    name: string;\n    message: string;\n    cause?: unknown;\n  }) {\n    super(message);\n\n    this.name = name;\n    this.cause = cause;\n  }\n\n  /**\n   * Checks if the given error is an AI SDK Error.\n   * @param {unknown} error - The error to check.\n   * @returns {boolean} True if the error is an AI SDK Error, false otherwise.\n   */\n  static isInstance(error: unknown): error is AISDKError {\n    return AISDKError.hasMarker(error, marker);\n  }\n\n  protected static hasMarker(error: unknown, marker: string): boolean {\n    const markerSymbol = Symbol.for(marker);\n    return (\n      error != null &&\n      typeof error === 'object' &&\n      markerSymbol in error &&\n      typeof error[markerSymbol] === 'boolean' &&\n      error[markerSymbol] === true\n    );\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_APICallError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class APICallError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly url: string;\n  readonly requestBodyValues: unknown;\n  readonly statusCode?: number;\n\n  readonly responseHeaders?: Record<string, string>;\n  readonly responseBody?: string;\n\n  readonly isRetryable: boolean;\n  readonly data?: unknown;\n\n  constructor({\n    message,\n    url,\n    requestBodyValues,\n    statusCode,\n    responseHeaders,\n    responseBody,\n    cause,\n    isRetryable = statusCode != null &&\n      (statusCode === 408 || // request timeout\n        statusCode === 409 || // conflict\n        statusCode === 429 || // too many requests\n        statusCode >= 500), // server error\n    data,\n  }: {\n    message: string;\n    url: string;\n    requestBodyValues: unknown;\n    statusCode?: number;\n    responseHeaders?: Record<string, string>;\n    responseBody?: string;\n    cause?: unknown;\n    isRetryable?: boolean;\n    data?: unknown;\n  }) {\n    super({ name, message, cause });\n\n    this.url = url;\n    this.requestBodyValues = requestBodyValues;\n    this.statusCode = statusCode;\n    this.responseHeaders = responseHeaders;\n    this.responseBody = responseBody;\n    this.isRetryable = isRetryable;\n    this.data = data;\n  }\n\n  static isInstance(error: unknown): error is APICallError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_EmptyResponseBodyError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class EmptyResponseBodyError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({ message = 'Empty response body' }: { message?: string } = {}) {\n    super({ name, message });\n  }\n\n  static isInstance(error: unknown): error is EmptyResponseBodyError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "export function getErrorMessage(error: unknown | undefined) {\n  if (error == null) {\n    return 'unknown error';\n  }\n\n  if (typeof error === 'string') {\n    return error;\n  }\n\n  if (error instanceof Error) {\n    return error.toString();\n  }\n\n  return JSON.stringify(error);\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_InvalidArgumentError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * A function argument is invalid.\n */\nexport class InvalidArgumentError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly argument: string;\n\n  constructor({\n    message,\n    cause,\n    argument,\n  }: {\n    argument: string;\n    message: string;\n    cause?: unknown;\n  }) {\n    super({ name, message, cause });\n\n    this.argument = argument;\n  }\n\n  static isInstance(error: unknown): error is InvalidArgumentError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_InvalidPromptError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * A prompt is invalid. This error should be thrown by providers when they cannot\n * process a prompt.\n */\nexport class InvalidPromptError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly prompt: unknown;\n\n  constructor({\n    prompt,\n    message,\n    cause,\n  }: {\n    prompt: unknown;\n    message: string;\n    cause?: unknown;\n  }) {\n    super({ name, message: `Invalid prompt: ${message}`, cause });\n\n    this.prompt = prompt;\n  }\n\n  static isInstance(error: unknown): error is InvalidPromptError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_InvalidResponseDataError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Server returned a response with invalid data content.\n * This should be thrown by providers when they cannot parse the response from the API.\n */\nexport class InvalidResponseDataError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly data: unknown;\n\n  constructor({\n    data,\n    message = `Invalid response data: ${JSON.stringify(data)}.`,\n  }: {\n    data: unknown;\n    message?: string;\n  }) {\n    super({ name, message });\n\n    this.data = data;\n  }\n\n  static isInstance(error: unknown): error is InvalidResponseDataError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\nimport { getErrorMessage } from './get-error-message';\n\nconst name = 'AI_JSONParseError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class JSONParseError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly text: string;\n\n  constructor({ text, cause }: { text: string; cause: unknown }) {\n    super({\n      name,\n      message:\n        `JSON parsing failed: ` +\n        `Text: ${text}.\\n` +\n        `Error message: ${getErrorMessage(cause)}`,\n      cause,\n    });\n\n    this.text = text;\n  }\n\n  static isInstance(error: unknown): error is JSONParseError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_LoadAPIKeyError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class LoadAPIKeyError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({ message }: { message: string }) {\n    super({ name, message });\n  }\n\n  static isInstance(error: unknown): error is LoadAPIKeyError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_LoadSettingError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class LoadSettingError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({ message }: { message: string }) {\n    super({ name, message });\n  }\n\n  static isInstance(error: unknown): error is LoadSettingError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_NoContentGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Thrown when the AI provider fails to generate any content.\n */\nexport class NoContentGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({\n    message = 'No content generated.',\n  }: { message?: string } = {}) {\n    super({ name, message });\n  }\n\n  static isInstance(error: unknown): error is NoContentGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_NoSuchModelError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class NoSuchModelError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly modelId: string;\n  readonly modelType:\n    | 'languageModel'\n    | 'embeddingModel'\n    | 'imageModel'\n    | 'transcriptionModel'\n    | 'speechModel'\n    | 'rerankingModel'\n    | 'videoModel';\n\n  constructor({\n    errorName = name,\n    modelId,\n    modelType,\n    message = `No such ${modelType}: ${modelId}`,\n  }: {\n    errorName?: string;\n    modelId: string;\n    modelType:\n      | 'languageModel'\n      | 'embeddingModel'\n      | 'imageModel'\n      | 'transcriptionModel'\n      | 'speechModel'\n      | 'rerankingModel'\n      | 'videoModel';\n    message?: string;\n  }) {\n    super({ name: errorName, message });\n\n    this.modelId = modelId;\n    this.modelType = modelType;\n  }\n\n  static isInstance(error: unknown): error is NoSuchModelError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import type { SharedV4ProviderReference } from '../shared/v4/shared-v4-provider-reference';\nimport { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_NoSuchProviderReferenceError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Thrown when a provider reference cannot be resolved because the specified\n * provider is not found in the provider reference mapping.\n */\nexport class NoSuchProviderReferenceError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly provider: string;\n  readonly reference: SharedV4ProviderReference;\n\n  constructor({\n    provider,\n    reference,\n    message = `No provider reference found for provider '${provider}'. Available providers: ${Object.keys(reference).join(', ')}`,\n  }: {\n    provider: string;\n    reference: SharedV4ProviderReference;\n    message?: string;\n  }) {\n    super({ name, message });\n    this.provider = provider;\n    this.reference = reference;\n  }\n\n  static isInstance(error: unknown): error is NoSuchProviderReferenceError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_TooManyEmbeddingValuesForCallError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class TooManyEmbeddingValuesForCallError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly provider: string;\n  readonly modelId: string;\n  readonly maxEmbeddingsPerCall: number;\n  readonly values: Array<unknown>;\n\n  constructor(options: {\n    provider: string;\n    modelId: string;\n    maxEmbeddingsPerCall: number;\n    values: Array<unknown>;\n  }) {\n    super({\n      name,\n      message:\n        `Too many values for a single embedding call. ` +\n        `The ${options.provider} model \"${options.modelId}\" can only embed up to ` +\n        `${options.maxEmbeddingsPerCall} values per call, but ${options.values.length} values were provided.`,\n    });\n\n    this.provider = options.provider;\n    this.modelId = options.modelId;\n    this.maxEmbeddingsPerCall = options.maxEmbeddingsPerCall;\n    this.values = options.values;\n  }\n\n  static isInstance(\n    error: unknown,\n  ): error is TooManyEmbeddingValuesForCallError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\nimport { getErrorMessage } from './get-error-message';\n\nconst name = 'AI_TypeValidationError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport interface TypeValidationContext {\n  /**\n   * Field path in dot notation (e.g., \"message.metadata\", \"message.parts[3].data\")\n   */\n  field?: string;\n\n  /**\n   * Entity name (e.g., tool name, data type name)\n   */\n  entityName?: string;\n\n  /**\n   * Entity identifier (e.g., message ID, tool call ID)\n   */\n  entityId?: string;\n}\n\nexport class TypeValidationError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly value: unknown;\n  readonly context?: TypeValidationContext;\n\n  constructor({\n    value,\n    cause,\n    context,\n  }: {\n    value: unknown;\n    cause: unknown;\n    context?: TypeValidationContext;\n  }) {\n    let contextPrefix = 'Type validation failed';\n\n    if (context?.field) {\n      contextPrefix += ` for ${context.field}`;\n    }\n\n    if (context?.entityName || context?.entityId) {\n      contextPrefix += ' (';\n      const parts: string[] = [];\n      if (context.entityName) {\n        parts.push(context.entityName);\n      }\n      if (context.entityId) {\n        parts.push(`id: \"${context.entityId}\"`);\n      }\n      contextPrefix += parts.join(', ');\n      contextPrefix += ')';\n    }\n\n    super({\n      name,\n      message:\n        `${contextPrefix}: ` +\n        `Value: ${JSON.stringify(value)}.\\n` +\n        `Error message: ${getErrorMessage(cause)}`,\n      cause,\n    });\n\n    this.value = value;\n    this.context = context;\n  }\n\n  static isInstance(error: unknown): error is TypeValidationError {\n    return AISDKError.hasMarker(error, marker);\n  }\n\n  /**\n   * Wraps an error into a TypeValidationError.\n   * If the cause is already a TypeValidationError with the same value and context, it returns the cause.\n   * Otherwise, it creates a new TypeValidationError.\n   *\n   * @param {Object} params - The parameters for wrapping the error.\n   * @param {unknown} params.value - The value that failed validation.\n   * @param {unknown} params.cause - The original error or cause of the validation failure.\n   * @param {TypeValidationContext} params.context - Optional context about what is being validated.\n   * @returns {TypeValidationError} A TypeValidationError instance.\n   */\n  static wrap({\n    value,\n    cause,\n    context,\n  }: {\n    value: unknown;\n    cause: unknown;\n    context?: TypeValidationContext;\n  }): TypeValidationError {\n    if (\n      TypeValidationError.isInstance(cause) &&\n      cause.value === value &&\n      cause.context?.field === context?.field &&\n      cause.context?.entityName === context?.entityName &&\n      cause.context?.entityId === context?.entityId\n    ) {\n      return cause;\n    }\n\n    return new TypeValidationError({ value, cause, context });\n  }\n}\n", "import { AISDKError } from './ai-sdk-error';\n\nconst name = 'AI_UnsupportedFunctionalityError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class UnsupportedFunctionalityError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly functionality: string;\n\n  constructor({\n    functionality,\n    message = `'${functionality}' functionality not supported.`,\n  }: {\n    functionality: string;\n    message?: string;\n  }) {\n    super({ name, message });\n    this.functionality = functionality;\n  }\n\n  static isInstance(error: unknown): error is UnsupportedFunctionalityError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import type { JSONArray, JSONObject, JSONValue } from './json-value';\n\nexport function isJSONValue(value: unknown): value is JSONValue {\n  if (\n    value === null ||\n    typeof value === 'string' ||\n    typeof value === 'number' ||\n    typeof value === 'boolean'\n  ) {\n    return true;\n  }\n\n  if (Array.isArray(value)) {\n    return value.every(isJSONValue);\n  }\n\n  if (typeof value === 'object') {\n    return Object.entries(value).every(\n      ([key, val]) =>\n        typeof key === 'string' && (val === undefined || isJSONValue(val)),\n    );\n  }\n\n  return false;\n}\n\nexport function isJSONArray(value: unknown): value is JSONArray {\n  return Array.isArray(value) && value.every(isJSONValue);\n}\n\nexport function isJSONObject(value: unknown): value is JSONObject {\n  return (\n    value != null &&\n    typeof value === 'object' &&\n    Object.entries(value).every(\n      ([key, val]) =>\n        typeof key === 'string' && (val === undefined || isJSONValue(val)),\n    )\n  );\n}\n", "/** A special constant with type `never` */\nexport const NEVER = Object.freeze({\n    status: \"aborted\",\n});\nexport /*@__NO_SIDE_EFFECTS__*/ function $constructor(name, initializer, params) {\n    function init(inst, def) {\n        var _a;\n        Object.defineProperty(inst, \"_zod\", {\n            value: inst._zod ?? {},\n            enumerable: false,\n        });\n        (_a = inst._zod).traits ?? (_a.traits = new Set());\n        inst._zod.traits.add(name);\n        initializer(inst, def);\n        // support prototype modifications\n        for (const k in _.prototype) {\n            if (!(k in inst))\n                Object.defineProperty(inst, k, { value: _.prototype[k].bind(inst) });\n        }\n        inst._zod.constr = _;\n        inst._zod.def = def;\n    }\n    // doesn't work if Parent has a constructor with arguments\n    const Parent = params?.Parent ?? Object;\n    class Definition extends Parent {\n    }\n    Object.defineProperty(Definition, \"name\", { value: name });\n    function _(def) {\n        var _a;\n        const inst = params?.Parent ? new Definition() : this;\n        init(inst, def);\n        (_a = inst._zod).deferred ?? (_a.deferred = []);\n        for (const fn of inst._zod.deferred) {\n            fn();\n        }\n        return inst;\n    }\n    Object.defineProperty(_, \"init\", { value: init });\n    Object.defineProperty(_, Symbol.hasInstance, {\n        value: (inst) => {\n            if (params?.Parent && inst instanceof params.Parent)\n                return true;\n            return inst?._zod?.traits?.has(name);\n        },\n    });\n    Object.defineProperty(_, \"name\", { value: name });\n    return _;\n}\n//////////////////////////////   UTILITIES   ///////////////////////////////////////\nexport const $brand = Symbol(\"zod_brand\");\nexport class $ZodAsyncError extends Error {\n    constructor() {\n        super(`Encountered Promise during synchronous parse. Use .parseAsync() instead.`);\n    }\n}\nexport const globalConfig = {};\nexport function config(newConfig) {\n    if (newConfig)\n        Object.assign(globalConfig, newConfig);\n    return globalConfig;\n}\n", "// functions\nexport function assertEqual(val) {\n    return val;\n}\nexport function assertNotEqual(val) {\n    return val;\n}\nexport function assertIs(_arg) { }\nexport function assertNever(_x) {\n    throw new Error();\n}\nexport function assert(_) { }\nexport function getEnumValues(entries) {\n    const numericValues = Object.values(entries).filter((v) => typeof v === \"number\");\n    const values = Object.entries(entries)\n        .filter(([k, _]) => numericValues.indexOf(+k) === -1)\n        .map(([_, v]) => v);\n    return values;\n}\nexport function joinValues(array, separator = \"|\") {\n    return array.map((val) => stringifyPrimitive(val)).join(separator);\n}\nexport function jsonStringifyReplacer(_, value) {\n    if (typeof value === \"bigint\")\n        return value.toString();\n    return value;\n}\nexport function cached(getter) {\n    const set = false;\n    return {\n        get value() {\n            if (!set) {\n                const value = getter();\n                Object.defineProperty(this, \"value\", { value });\n                return value;\n            }\n            throw new Error(\"cached value already set\");\n        },\n    };\n}\nexport function nullish(input) {\n    return input === null || input === undefined;\n}\nexport function cleanRegex(source) {\n    const start = source.startsWith(\"^\") ? 1 : 0;\n    const end = source.endsWith(\"$\") ? source.length - 1 : source.length;\n    return source.slice(start, end);\n}\nexport function floatSafeRemainder(val, step) {\n    const valDecCount = (val.toString().split(\".\")[1] || \"\").length;\n    const stepDecCount = (step.toString().split(\".\")[1] || \"\").length;\n    const decCount = valDecCount > stepDecCount ? valDecCount : stepDecCount;\n    const valInt = Number.parseInt(val.toFixed(decCount).replace(\".\", \"\"));\n    const stepInt = Number.parseInt(step.toFixed(decCount).replace(\".\", \"\"));\n    return (valInt % stepInt) / 10 ** decCount;\n}\nexport function defineLazy(object, key, getter) {\n    const set = false;\n    Object.defineProperty(object, key, {\n        get() {\n            if (!set) {\n                const value = getter();\n                object[key] = value;\n                return value;\n            }\n            throw new Error(\"cached value already set\");\n        },\n        set(v) {\n            Object.defineProperty(object, key, {\n                value: v,\n                // configurable: true,\n            });\n            // object[key] = v;\n        },\n        configurable: true,\n    });\n}\nexport function assignProp(target, prop, value) {\n    Object.defineProperty(target, prop, {\n        value,\n        writable: true,\n        enumerable: true,\n        configurable: true,\n    });\n}\nexport function getElementAtPath(obj, path) {\n    if (!path)\n        return obj;\n    return path.reduce((acc, key) => acc?.[key], obj);\n}\nexport function promiseAllObject(promisesObj) {\n    const keys = Object.keys(promisesObj);\n    const promises = keys.map((key) => promisesObj[key]);\n    return Promise.all(promises).then((results) => {\n        const resolvedObj = {};\n        for (let i = 0; i < keys.length; i++) {\n            resolvedObj[keys[i]] = results[i];\n        }\n        return resolvedObj;\n    });\n}\nexport function randomString(length = 10) {\n    const chars = \"abcdefghijklmnopqrstuvwxyz\";\n    let str = \"\";\n    for (let i = 0; i < length; i++) {\n        str += chars[Math.floor(Math.random() * chars.length)];\n    }\n    return str;\n}\nexport function esc(str) {\n    return JSON.stringify(str);\n}\nexport const captureStackTrace = Error.captureStackTrace\n    ? Error.captureStackTrace\n    : (..._args) => { };\nexport function isObject(data) {\n    return typeof data === \"object\" && data !== null && !Array.isArray(data);\n}\nexport const allowsEval = cached(() => {\n    if (typeof navigator !== \"undefined\" && navigator?.userAgent?.includes(\"Cloudflare\")) {\n        return false;\n    }\n    try {\n        const F = Function;\n        new F(\"\");\n        return true;\n    }\n    catch (_) {\n        return false;\n    }\n});\nexport function isPlainObject(o) {\n    if (isObject(o) === false)\n        return false;\n    // modified constructor\n    const ctor = o.constructor;\n    if (ctor === undefined)\n        return true;\n    // modified prototype\n    const prot = ctor.prototype;\n    if (isObject(prot) === false)\n        return false;\n    // ctor doesn't have static `isPrototypeOf`\n    if (Object.prototype.hasOwnProperty.call(prot, \"isPrototypeOf\") === false) {\n        return false;\n    }\n    return true;\n}\nexport function numKeys(data) {\n    let keyCount = 0;\n    for (const key in data) {\n        if (Object.prototype.hasOwnProperty.call(data, key)) {\n            keyCount++;\n        }\n    }\n    return keyCount;\n}\nexport const getParsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"undefined\":\n            return \"undefined\";\n        case \"string\":\n            return \"string\";\n        case \"number\":\n            return Number.isNaN(data) ? \"nan\" : \"number\";\n        case \"boolean\":\n            return \"boolean\";\n        case \"function\":\n            return \"function\";\n        case \"bigint\":\n            return \"bigint\";\n        case \"symbol\":\n            return \"symbol\";\n        case \"object\":\n            if (Array.isArray(data)) {\n                return \"array\";\n            }\n            if (data === null) {\n                return \"null\";\n            }\n            if (data.then && typeof data.then === \"function\" && data.catch && typeof data.catch === \"function\") {\n                return \"promise\";\n            }\n            if (typeof Map !== \"undefined\" && data instanceof Map) {\n                return \"map\";\n            }\n            if (typeof Set !== \"undefined\" && data instanceof Set) {\n                return \"set\";\n            }\n            if (typeof Date !== \"undefined\" && data instanceof Date) {\n                return \"date\";\n            }\n            if (typeof File !== \"undefined\" && data instanceof File) {\n                return \"file\";\n            }\n            return \"object\";\n        default:\n            throw new Error(`Unknown data type: ${t}`);\n    }\n};\nexport const propertyKeyTypes = new Set([\"string\", \"number\", \"symbol\"]);\nexport const primitiveTypes = new Set([\"string\", \"number\", \"bigint\", \"boolean\", \"symbol\", \"undefined\"]);\nexport function escapeRegex(str) {\n    return str.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n}\n// zod-specific utils\nexport function clone(inst, def, params) {\n    const cl = new inst._zod.constr(def ?? inst._zod.def);\n    if (!def || params?.parent)\n        cl._zod.parent = inst;\n    return cl;\n}\nexport function normalizeParams(_params) {\n    const params = _params;\n    if (!params)\n        return {};\n    if (typeof params === \"string\")\n        return { error: () => params };\n    if (params?.message !== undefined) {\n        if (params?.error !== undefined)\n            throw new Error(\"Cannot specify both `message` and `error` params\");\n        params.error = params.message;\n    }\n    delete params.message;\n    if (typeof params.error === \"string\")\n        return { ...params, error: () => params.error };\n    return params;\n}\nexport function createTransparentProxy(getter) {\n    let target;\n    return new Proxy({}, {\n        get(_, prop, receiver) {\n            target ?? (target = getter());\n            return Reflect.get(target, prop, receiver);\n        },\n        set(_, prop, value, receiver) {\n            target ?? (target = getter());\n            return Reflect.set(target, prop, value, receiver);\n        },\n        has(_, prop) {\n            target ?? (target = getter());\n            return Reflect.has(target, prop);\n        },\n        deleteProperty(_, prop) {\n            target ?? (target = getter());\n            return Reflect.deleteProperty(target, prop);\n        },\n        ownKeys(_) {\n            target ?? (target = getter());\n            return Reflect.ownKeys(target);\n        },\n        getOwnPropertyDescriptor(_, prop) {\n            target ?? (target = getter());\n            return Reflect.getOwnPropertyDescriptor(target, prop);\n        },\n        defineProperty(_, prop, descriptor) {\n            target ?? (target = getter());\n            return Reflect.defineProperty(target, prop, descriptor);\n        },\n    });\n}\nexport function stringifyPrimitive(value) {\n    if (typeof value === \"bigint\")\n        return value.toString() + \"n\";\n    if (typeof value === \"string\")\n        return `\"${value}\"`;\n    return `${value}`;\n}\nexport function optionalKeys(shape) {\n    return Object.keys(shape).filter((k) => {\n        return shape[k]._zod.optin === \"optional\" && shape[k]._zod.optout === \"optional\";\n    });\n}\nexport const NUMBER_FORMAT_RANGES = {\n    safeint: [Number.MIN_SAFE_INTEGER, Number.MAX_SAFE_INTEGER],\n    int32: [-2147483648, 2147483647],\n    uint32: [0, 4294967295],\n    float32: [-3.4028234663852886e38, 3.4028234663852886e38],\n    float64: [-Number.MAX_VALUE, Number.MAX_VALUE],\n};\nexport const BIGINT_FORMAT_RANGES = {\n    int64: [/* @__PURE__*/ BigInt(\"-9223372036854775808\"), /* @__PURE__*/ BigInt(\"9223372036854775807\")],\n    uint64: [/* @__PURE__*/ BigInt(0), /* @__PURE__*/ BigInt(\"18446744073709551615\")],\n};\nexport function pick(schema, mask) {\n    const newShape = {};\n    const currDef = schema._zod.def; //.shape;\n    for (const key in mask) {\n        if (!(key in currDef.shape)) {\n            throw new Error(`Unrecognized key: \"${key}\"`);\n        }\n        if (!mask[key])\n            continue;\n        // pick key\n        newShape[key] = currDef.shape[key];\n    }\n    return clone(schema, {\n        ...schema._zod.def,\n        shape: newShape,\n        checks: [],\n    });\n}\nexport function omit(schema, mask) {\n    const newShape = { ...schema._zod.def.shape };\n    const currDef = schema._zod.def; //.shape;\n    for (const key in mask) {\n        if (!(key in currDef.shape)) {\n            throw new Error(`Unrecognized key: \"${key}\"`);\n        }\n        if (!mask[key])\n            continue;\n        delete newShape[key];\n    }\n    return clone(schema, {\n        ...schema._zod.def,\n        shape: newShape,\n        checks: [],\n    });\n}\nexport function extend(schema, shape) {\n    if (!isPlainObject(shape)) {\n        throw new Error(\"Invalid input to extend: expected a plain object\");\n    }\n    const def = {\n        ...schema._zod.def,\n        get shape() {\n            const _shape = { ...schema._zod.def.shape, ...shape };\n            assignProp(this, \"shape\", _shape); // self-caching\n            return _shape;\n        },\n        checks: [], // delete existing checks\n    };\n    return clone(schema, def);\n}\nexport function merge(a, b) {\n    return clone(a, {\n        ...a._zod.def,\n        get shape() {\n            const _shape = { ...a._zod.def.shape, ...b._zod.def.shape };\n            assignProp(this, \"shape\", _shape); // self-caching\n            return _shape;\n        },\n        catchall: b._zod.def.catchall,\n        checks: [], // delete existing checks\n    });\n}\nexport function partial(Class, schema, mask) {\n    const oldShape = schema._zod.def.shape;\n    const shape = { ...oldShape };\n    if (mask) {\n        for (const key in mask) {\n            if (!(key in oldShape)) {\n                throw new Error(`Unrecognized key: \"${key}\"`);\n            }\n            if (!mask[key])\n                continue;\n            // if (oldShape[key]!._zod.optin === \"optional\") continue;\n            shape[key] = Class\n                ? new Class({\n                    type: \"optional\",\n                    innerType: oldShape[key],\n                })\n                : oldShape[key];\n        }\n    }\n    else {\n        for (const key in oldShape) {\n            // if (oldShape[key]!._zod.optin === \"optional\") continue;\n            shape[key] = Class\n                ? new Class({\n                    type: \"optional\",\n                    innerType: oldShape[key],\n                })\n                : oldShape[key];\n        }\n    }\n    return clone(schema, {\n        ...schema._zod.def,\n        shape,\n        checks: [],\n    });\n}\nexport function required(Class, schema, mask) {\n    const oldShape = schema._zod.def.shape;\n    const shape = { ...oldShape };\n    if (mask) {\n        for (const key in mask) {\n            if (!(key in shape)) {\n                throw new Error(`Unrecognized key: \"${key}\"`);\n            }\n            if (!mask[key])\n                continue;\n            // overwrite with non-optional\n            shape[key] = new Class({\n                type: \"nonoptional\",\n                innerType: oldShape[key],\n            });\n        }\n    }\n    else {\n        for (const key in oldShape) {\n            // overwrite with non-optional\n            shape[key] = new Class({\n                type: \"nonoptional\",\n                innerType: oldShape[key],\n            });\n        }\n    }\n    return clone(schema, {\n        ...schema._zod.def,\n        shape,\n        // optional: [],\n        checks: [],\n    });\n}\nexport function aborted(x, startIndex = 0) {\n    for (let i = startIndex; i < x.issues.length; i++) {\n        if (x.issues[i]?.continue !== true)\n            return true;\n    }\n    return false;\n}\nexport function prefixIssues(path, issues) {\n    return issues.map((iss) => {\n        var _a;\n        (_a = iss).path ?? (_a.path = []);\n        iss.path.unshift(path);\n        return iss;\n    });\n}\nexport function unwrapMessage(message) {\n    return typeof message === \"string\" ? message : message?.message;\n}\nexport function finalizeIssue(iss, ctx, config) {\n    const full = { ...iss, path: iss.path ?? [] };\n    // for backwards compatibility\n    if (!iss.message) {\n        const message = unwrapMessage(iss.inst?._zod.def?.error?.(iss)) ??\n            unwrapMessage(ctx?.error?.(iss)) ??\n            unwrapMessage(config.customError?.(iss)) ??\n            unwrapMessage(config.localeError?.(iss)) ??\n            \"Invalid input\";\n        full.message = message;\n    }\n    // delete (full as any).def;\n    delete full.inst;\n    delete full.continue;\n    if (!ctx?.reportInput) {\n        delete full.input;\n    }\n    return full;\n}\nexport function getSizableOrigin(input) {\n    if (input instanceof Set)\n        return \"set\";\n    if (input instanceof Map)\n        return \"map\";\n    if (input instanceof File)\n        return \"file\";\n    return \"unknown\";\n}\nexport function getLengthableOrigin(input) {\n    if (Array.isArray(input))\n        return \"array\";\n    if (typeof input === \"string\")\n        return \"string\";\n    return \"unknown\";\n}\nexport function issue(...args) {\n    const [iss, input, inst] = args;\n    if (typeof iss === \"string\") {\n        return {\n            message: iss,\n            code: \"custom\",\n            input,\n            inst,\n        };\n    }\n    return { ...iss };\n}\nexport function cleanEnum(obj) {\n    return Object.entries(obj)\n        .filter(([k, _]) => {\n        // return true if NaN, meaning it's not a number, thus a string key\n        return Number.isNaN(Number.parseInt(k, 10));\n    })\n        .map((el) => el[1]);\n}\n// instanceof\nexport class Class {\n    constructor(..._args) { }\n}\n", "import { $constructor } from \"./core.js\";\nimport * as util from \"./util.js\";\nconst initializer = (inst, def) => {\n    inst.name = \"$ZodError\";\n    Object.defineProperty(inst, \"_zod\", {\n        value: inst._zod,\n        enumerable: false,\n    });\n    Object.defineProperty(inst, \"issues\", {\n        value: def,\n        enumerable: false,\n    });\n    Object.defineProperty(inst, \"message\", {\n        get() {\n            return JSON.stringify(def, util.jsonStringifyReplacer, 2);\n        },\n        enumerable: true,\n        // configurable: false,\n    });\n    Object.defineProperty(inst, \"toString\", {\n        value: () => inst.message,\n        enumerable: false,\n    });\n};\nexport const $ZodError = $constructor(\"$ZodError\", initializer);\nexport const $ZodRealError = $constructor(\"$ZodError\", initializer, { Parent: Error });\nexport function flattenError(error, mapper = (issue) => issue.message) {\n    const fieldErrors = {};\n    const formErrors = [];\n    for (const sub of error.issues) {\n        if (sub.path.length > 0) {\n            fieldErrors[sub.path[0]] = fieldErrors[sub.path[0]] || [];\n            fieldErrors[sub.path[0]].push(mapper(sub));\n        }\n        else {\n            formErrors.push(mapper(sub));\n        }\n    }\n    return { formErrors, fieldErrors };\n}\nexport function formatError(error, _mapper) {\n    const mapper = _mapper ||\n        function (issue) {\n            return issue.message;\n        };\n    const fieldErrors = { _errors: [] };\n    const processError = (error) => {\n        for (const issue of error.issues) {\n            if (issue.code === \"invalid_union\" && issue.errors.length) {\n                issue.errors.map((issues) => processError({ issues }));\n            }\n            else if (issue.code === \"invalid_key\") {\n                processError({ issues: issue.issues });\n            }\n            else if (issue.code === \"invalid_element\") {\n                processError({ issues: issue.issues });\n            }\n            else if (issue.path.length === 0) {\n                fieldErrors._errors.push(mapper(issue));\n            }\n            else {\n                let curr = fieldErrors;\n                let i = 0;\n                while (i < issue.path.length) {\n                    const el = issue.path[i];\n                    const terminal = i === issue.path.length - 1;\n                    if (!terminal) {\n                        curr[el] = curr[el] || { _errors: [] };\n                    }\n                    else {\n                        curr[el] = curr[el] || { _errors: [] };\n                        curr[el]._errors.push(mapper(issue));\n                    }\n                    curr = curr[el];\n                    i++;\n                }\n            }\n        }\n    };\n    processError(error);\n    return fieldErrors;\n}\nexport function treeifyError(error, _mapper) {\n    const mapper = _mapper ||\n        function (issue) {\n            return issue.message;\n        };\n    const result = { errors: [] };\n    const processError = (error, path = []) => {\n        var _a, _b;\n        for (const issue of error.issues) {\n            if (issue.code === \"invalid_union\" && issue.errors.length) {\n                // regular union error\n                issue.errors.map((issues) => processError({ issues }, issue.path));\n            }\n            else if (issue.code === \"invalid_key\") {\n                processError({ issues: issue.issues }, issue.path);\n            }\n            else if (issue.code === \"invalid_element\") {\n                processError({ issues: issue.issues }, issue.path);\n            }\n            else {\n                const fullpath = [...path, ...issue.path];\n                if (fullpath.length === 0) {\n                    result.errors.push(mapper(issue));\n                    continue;\n                }\n                let curr = result;\n                let i = 0;\n                while (i < fullpath.length) {\n                    const el = fullpath[i];\n                    const terminal = i === fullpath.length - 1;\n                    if (typeof el === \"string\") {\n                        curr.properties ?? (curr.properties = {});\n                        (_a = curr.properties)[el] ?? (_a[el] = { errors: [] });\n                        curr = curr.properties[el];\n                    }\n                    else {\n                        curr.items ?? (curr.items = []);\n                        (_b = curr.items)[el] ?? (_b[el] = { errors: [] });\n                        curr = curr.items[el];\n                    }\n                    if (terminal) {\n                        curr.errors.push(mapper(issue));\n                    }\n                    i++;\n                }\n            }\n        }\n    };\n    processError(error);\n    return result;\n}\n/** Format a ZodError as a human-readable string in the following form.\n *\n * From\n *\n * ```ts\n * ZodError {\n *   issues: [\n *     {\n *       expected: 'string',\n *       code: 'invalid_type',\n *       path: [ 'username' ],\n *       message: 'Invalid input: expected string'\n *     },\n *     {\n *       expected: 'number',\n *       code: 'invalid_type',\n *       path: [ 'favoriteNumbers', 1 ],\n *       message: 'Invalid input: expected number'\n *     }\n *   ];\n * }\n * ```\n *\n * to\n *\n * ```\n * username\n *   \u2716 Expected number, received string at \"username\n * favoriteNumbers[0]\n *   \u2716 Invalid input: expected number\n * ```\n */\nexport function toDotPath(path) {\n    const segs = [];\n    for (const seg of path) {\n        if (typeof seg === \"number\")\n            segs.push(`[${seg}]`);\n        else if (typeof seg === \"symbol\")\n            segs.push(`[${JSON.stringify(String(seg))}]`);\n        else if (/[^\\w$]/.test(seg))\n            segs.push(`[${JSON.stringify(seg)}]`);\n        else {\n            if (segs.length)\n                segs.push(\".\");\n            segs.push(seg);\n        }\n    }\n    return segs.join(\"\");\n}\nexport function prettifyError(error) {\n    const lines = [];\n    // sort by path length\n    const issues = [...error.issues].sort((a, b) => a.path.length - b.path.length);\n    // Process each issue\n    for (const issue of issues) {\n        lines.push(`\u2716 ${issue.message}`);\n        if (issue.path?.length)\n            lines.push(`  \u2192 at ${toDotPath(issue.path)}`);\n    }\n    // Convert Map to formatted string\n    return lines.join(\"\\n\");\n}\n", "import * as core from \"./core.js\";\nimport * as errors from \"./errors.js\";\nimport * as util from \"./util.js\";\nexport const _parse = (_Err) => (schema, value, _ctx, _params) => {\n    const ctx = _ctx ? Object.assign(_ctx, { async: false }) : { async: false };\n    const result = schema._zod.run({ value, issues: [] }, ctx);\n    if (result instanceof Promise) {\n        throw new core.$ZodAsyncError();\n    }\n    if (result.issues.length) {\n        const e = new (_params?.Err ?? _Err)(result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())));\n        util.captureStackTrace(e, _params?.callee);\n        throw e;\n    }\n    return result.value;\n};\nexport const parse = /* @__PURE__*/ _parse(errors.$ZodRealError);\nexport const _parseAsync = (_Err) => async (schema, value, _ctx, params) => {\n    const ctx = _ctx ? Object.assign(_ctx, { async: true }) : { async: true };\n    let result = schema._zod.run({ value, issues: [] }, ctx);\n    if (result instanceof Promise)\n        result = await result;\n    if (result.issues.length) {\n        const e = new (params?.Err ?? _Err)(result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())));\n        util.captureStackTrace(e, params?.callee);\n        throw e;\n    }\n    return result.value;\n};\nexport const parseAsync = /* @__PURE__*/ _parseAsync(errors.$ZodRealError);\nexport const _safeParse = (_Err) => (schema, value, _ctx) => {\n    const ctx = _ctx ? { ..._ctx, async: false } : { async: false };\n    const result = schema._zod.run({ value, issues: [] }, ctx);\n    if (result instanceof Promise) {\n        throw new core.$ZodAsyncError();\n    }\n    return result.issues.length\n        ? {\n            success: false,\n            error: new (_Err ?? errors.$ZodError)(result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config()))),\n        }\n        : { success: true, data: result.value };\n};\nexport const safeParse = /* @__PURE__*/ _safeParse(errors.$ZodRealError);\nexport const _safeParseAsync = (_Err) => async (schema, value, _ctx) => {\n    const ctx = _ctx ? Object.assign(_ctx, { async: true }) : { async: true };\n    let result = schema._zod.run({ value, issues: [] }, ctx);\n    if (result instanceof Promise)\n        result = await result;\n    return result.issues.length\n        ? {\n            success: false,\n            error: new _Err(result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config()))),\n        }\n        : { success: true, data: result.value };\n};\nexport const safeParseAsync = /* @__PURE__*/ _safeParseAsync(errors.$ZodRealError);\n", "export const cuid = /^[cC][^\\s-]{8,}$/;\nexport const cuid2 = /^[0-9a-z]+$/;\nexport const ulid = /^[0-9A-HJKMNP-TV-Za-hjkmnp-tv-z]{26}$/;\nexport const xid = /^[0-9a-vA-V]{20}$/;\nexport const ksuid = /^[A-Za-z0-9]{27}$/;\nexport const nanoid = /^[a-zA-Z0-9_-]{21}$/;\n/** ISO 8601-1 duration regex. Does not support the 8601-2 extensions like negative durations or fractional/negative components. */\nexport const duration = /^P(?:(\\d+W)|(?!.*W)(?=\\d|T\\d)(\\d+Y)?(\\d+M)?(\\d+D)?(T(?=\\d)(\\d+H)?(\\d+M)?(\\d+([.,]\\d+)?S)?)?)$/;\n/** Implements ISO 8601-2 extensions like explicit +- prefixes, mixing weeks with other units, and fractional/negative components. */\nexport const extendedDuration = /^[-+]?P(?!$)(?:(?:[-+]?\\d+Y)|(?:[-+]?\\d+[.,]\\d+Y$))?(?:(?:[-+]?\\d+M)|(?:[-+]?\\d+[.,]\\d+M$))?(?:(?:[-+]?\\d+W)|(?:[-+]?\\d+[.,]\\d+W$))?(?:(?:[-+]?\\d+D)|(?:[-+]?\\d+[.,]\\d+D$))?(?:T(?=[\\d+-])(?:(?:[-+]?\\d+H)|(?:[-+]?\\d+[.,]\\d+H$))?(?:(?:[-+]?\\d+M)|(?:[-+]?\\d+[.,]\\d+M$))?(?:[-+]?\\d+(?:[.,]\\d+)?S)?)??$/;\n/** A regex for any UUID-like identifier: 8-4-4-4-12 hex pattern */\nexport const guid = /^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})$/;\n/** Returns a regex for validating an RFC 4122 UUID.\n *\n * @param version Optionally specify a version 1-8. If no version is specified, all versions are supported. */\nexport const uuid = (version) => {\n    if (!version)\n        return /^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000)$/;\n    return new RegExp(`^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-${version}[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$`);\n};\nexport const uuid4 = /*@__PURE__*/ uuid(4);\nexport const uuid6 = /*@__PURE__*/ uuid(6);\nexport const uuid7 = /*@__PURE__*/ uuid(7);\n/** Practical email validation */\nexport const email = /^(?!\\.)(?!.*\\.\\.)([A-Za-z0-9_'+\\-\\.]*)[A-Za-z0-9_+-]@([A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$/;\n/** Equivalent to the HTML5 input[type=email] validation implemented by browsers. Source: https://developer.mozilla.org/en-US/docs/Web/HTML/Element/input/email */\nexport const html5Email = /^[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/;\n/** The classic emailregex.com regex for RFC 5322-compliant emails */\nexport const rfc5322Email = /^(([^<>()\\[\\]\\\\.,;:\\s@\"]+(\\.[^<>()\\[\\]\\\\.,;:\\s@\"]+)*)|(\".+\"))@((\\[[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}])|(([a-zA-Z\\-0-9]+\\.)+[a-zA-Z]{2,}))$/;\n/** A loose regex that allows Unicode characters, enforces length limits, and that's about it. */\nexport const unicodeEmail = /^[^\\s@\"]{1,64}@[^\\s@]{1,255}$/u;\nexport const browserEmail = /^[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/;\n// from https://thekevinscott.com/emojis-in-javascript/#writing-a-regular-expression\nexport const _emoji = `^(\\\\p{Extended_Pictographic}|\\\\p{Emoji_Component})+$`;\nexport function emoji() {\n    return new RegExp(_emoji, \"u\");\n}\nexport const ipv4 = /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/;\nexport const ipv6 = /^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|::|([0-9a-fA-F]{1,4})?::([0-9a-fA-F]{1,4}:?){0,6})$/;\nexport const cidrv4 = /^((25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\/([0-9]|[1-2][0-9]|3[0-2])$/;\nexport const cidrv6 = /^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|::|([0-9a-fA-F]{1,4})?::([0-9a-fA-F]{1,4}:?){0,6})\\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/;\n// https://stackoverflow.com/questions/7860392/determine-if-string-is-in-base64-using-javascript\nexport const base64 = /^$|^(?:[0-9a-zA-Z+/]{4})*(?:(?:[0-9a-zA-Z+/]{2}==)|(?:[0-9a-zA-Z+/]{3}=))?$/;\nexport const base64url = /^[A-Za-z0-9_-]*$/;\n// based on https://stackoverflow.com/questions/106179/regular-expression-to-match-dns-hostname-or-ip-address\n// export const hostname: RegExp =\n//   /^(([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\\-]*[a-zA-Z0-9])\\.)+([A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\\-]*[A-Za-z0-9])$/;\nexport const hostname = /^([a-zA-Z0-9-]+\\.)*[a-zA-Z0-9-]+$/;\nexport const domain = /^([a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?\\.)+[a-zA-Z]{2,}$/;\n// https://blog.stevenlevithan.com/archives/validate-phone-number#r4-3 (regex sans spaces)\nexport const e164 = /^\\+(?:[0-9]){6,14}[0-9]$/;\n// const dateSource = `((\\\\d\\\\d[2468][048]|\\\\d\\\\d[13579][26]|\\\\d\\\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\\\d{4}-((0[13578]|1[02])-(0[1-9]|[12]\\\\d|3[01])|(0[469]|11)-(0[1-9]|[12]\\\\d|30)|(02)-(0[1-9]|1\\\\d|2[0-8])))`;\nconst dateSource = `(?:(?:\\\\d\\\\d[2468][048]|\\\\d\\\\d[13579][26]|\\\\d\\\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\\\d|30)|(?:02)-(?:0[1-9]|1\\\\d|2[0-8])))`;\nexport const date = /*@__PURE__*/ new RegExp(`^${dateSource}$`);\nfunction timeSource(args) {\n    const hhmm = `(?:[01]\\\\d|2[0-3]):[0-5]\\\\d`;\n    const regex = typeof args.precision === \"number\"\n        ? args.precision === -1\n            ? `${hhmm}`\n            : args.precision === 0\n                ? `${hhmm}:[0-5]\\\\d`\n                : `${hhmm}:[0-5]\\\\d\\\\.\\\\d{${args.precision}}`\n        : `${hhmm}(?::[0-5]\\\\d(?:\\\\.\\\\d+)?)?`;\n    return regex;\n}\nexport function time(args) {\n    return new RegExp(`^${timeSource(args)}$`);\n}\n// Adapted from https://stackoverflow.com/a/3143231\nexport function datetime(args) {\n    const time = timeSource({ precision: args.precision });\n    const opts = [\"Z\"];\n    if (args.local)\n        opts.push(\"\");\n    if (args.offset)\n        opts.push(`([+-]\\\\d{2}:\\\\d{2})`);\n    const timeRegex = `${time}(?:${opts.join(\"|\")})`;\n    return new RegExp(`^${dateSource}T(?:${timeRegex})$`);\n}\nexport const string = (params) => {\n    const regex = params ? `[\\\\s\\\\S]{${params?.minimum ?? 0},${params?.maximum ?? \"\"}}` : `[\\\\s\\\\S]*`;\n    return new RegExp(`^${regex}$`);\n};\nexport const bigint = /^\\d+n?$/;\nexport const integer = /^\\d+$/;\nexport const number = /^-?\\d+(?:\\.\\d+)?/i;\nexport const boolean = /true|false/i;\nconst _null = /null/i;\nexport { _null as null };\nconst _undefined = /undefined/i;\nexport { _undefined as undefined };\n// regex for string with no uppercase letters\nexport const lowercase = /^[^A-Z]*$/;\n// regex for string with no lowercase letters\nexport const uppercase = /^[^a-z]*$/;\n", "// import { $ZodType } from \"./schemas.js\";\nimport * as core from \"./core.js\";\nimport * as regexes from \"./regexes.js\";\nimport * as util from \"./util.js\";\nexport const $ZodCheck = /*@__PURE__*/ core.$constructor(\"$ZodCheck\", (inst, def) => {\n    var _a;\n    inst._zod ?? (inst._zod = {});\n    inst._zod.def = def;\n    (_a = inst._zod).onattach ?? (_a.onattach = []);\n});\nconst numericOriginMap = {\n    number: \"number\",\n    bigint: \"bigint\",\n    object: \"date\",\n};\nexport const $ZodCheckLessThan = /*@__PURE__*/ core.$constructor(\"$ZodCheckLessThan\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const origin = numericOriginMap[typeof def.value];\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        const curr = (def.inclusive ? bag.maximum : bag.exclusiveMaximum) ?? Number.POSITIVE_INFINITY;\n        if (def.value < curr) {\n            if (def.inclusive)\n                bag.maximum = def.value;\n            else\n                bag.exclusiveMaximum = def.value;\n        }\n    });\n    inst._zod.check = (payload) => {\n        if (def.inclusive ? payload.value <= def.value : payload.value < def.value) {\n            return;\n        }\n        payload.issues.push({\n            origin,\n            code: \"too_big\",\n            maximum: def.value,\n            input: payload.value,\n            inclusive: def.inclusive,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckGreaterThan = /*@__PURE__*/ core.$constructor(\"$ZodCheckGreaterThan\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const origin = numericOriginMap[typeof def.value];\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        const curr = (def.inclusive ? bag.minimum : bag.exclusiveMinimum) ?? Number.NEGATIVE_INFINITY;\n        if (def.value > curr) {\n            if (def.inclusive)\n                bag.minimum = def.value;\n            else\n                bag.exclusiveMinimum = def.value;\n        }\n    });\n    inst._zod.check = (payload) => {\n        if (def.inclusive ? payload.value >= def.value : payload.value > def.value) {\n            return;\n        }\n        payload.issues.push({\n            origin,\n            code: \"too_small\",\n            minimum: def.value,\n            input: payload.value,\n            inclusive: def.inclusive,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckMultipleOf = \n/*@__PURE__*/ core.$constructor(\"$ZodCheckMultipleOf\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        var _a;\n        (_a = inst._zod.bag).multipleOf ?? (_a.multipleOf = def.value);\n    });\n    inst._zod.check = (payload) => {\n        if (typeof payload.value !== typeof def.value)\n            throw new Error(\"Cannot mix number and bigint in multiple_of check.\");\n        const isMultiple = typeof payload.value === \"bigint\"\n            ? payload.value % def.value === BigInt(0)\n            : util.floatSafeRemainder(payload.value, def.value) === 0;\n        if (isMultiple)\n            return;\n        payload.issues.push({\n            origin: typeof payload.value,\n            code: \"not_multiple_of\",\n            divisor: def.value,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckNumberFormat = /*@__PURE__*/ core.$constructor(\"$ZodCheckNumberFormat\", (inst, def) => {\n    $ZodCheck.init(inst, def); // no format checks\n    def.format = def.format || \"float64\";\n    const isInt = def.format?.includes(\"int\");\n    const origin = isInt ? \"int\" : \"number\";\n    const [minimum, maximum] = util.NUMBER_FORMAT_RANGES[def.format];\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.format = def.format;\n        bag.minimum = minimum;\n        bag.maximum = maximum;\n        if (isInt)\n            bag.pattern = regexes.integer;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        if (isInt) {\n            if (!Number.isInteger(input)) {\n                // invalid_format issue\n                // payload.issues.push({\n                //   expected: def.format,\n                //   format: def.format,\n                //   code: \"invalid_format\",\n                //   input,\n                //   inst,\n                // });\n                // invalid_type issue\n                payload.issues.push({\n                    expected: origin,\n                    format: def.format,\n                    code: \"invalid_type\",\n                    input,\n                    inst,\n                });\n                return;\n                // not_multiple_of issue\n                // payload.issues.push({\n                //   code: \"not_multiple_of\",\n                //   origin: \"number\",\n                //   input,\n                //   inst,\n                //   divisor: 1,\n                // });\n            }\n            if (!Number.isSafeInteger(input)) {\n                if (input > 0) {\n                    // too_big\n                    payload.issues.push({\n                        input,\n                        code: \"too_big\",\n                        maximum: Number.MAX_SAFE_INTEGER,\n                        note: \"Integers must be within the safe integer range.\",\n                        inst,\n                        origin,\n                        continue: !def.abort,\n                    });\n                }\n                else {\n                    // too_small\n                    payload.issues.push({\n                        input,\n                        code: \"too_small\",\n                        minimum: Number.MIN_SAFE_INTEGER,\n                        note: \"Integers must be within the safe integer range.\",\n                        inst,\n                        origin,\n                        continue: !def.abort,\n                    });\n                }\n                return;\n            }\n        }\n        if (input < minimum) {\n            payload.issues.push({\n                origin: \"number\",\n                input,\n                code: \"too_small\",\n                minimum,\n                inclusive: true,\n                inst,\n                continue: !def.abort,\n            });\n        }\n        if (input > maximum) {\n            payload.issues.push({\n                origin: \"number\",\n                input,\n                code: \"too_big\",\n                maximum,\n                inst,\n            });\n        }\n    };\n});\nexport const $ZodCheckBigIntFormat = /*@__PURE__*/ core.$constructor(\"$ZodCheckBigIntFormat\", (inst, def) => {\n    $ZodCheck.init(inst, def); // no format checks\n    const [minimum, maximum] = util.BIGINT_FORMAT_RANGES[def.format];\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.format = def.format;\n        bag.minimum = minimum;\n        bag.maximum = maximum;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        if (input < minimum) {\n            payload.issues.push({\n                origin: \"bigint\",\n                input,\n                code: \"too_small\",\n                minimum: minimum,\n                inclusive: true,\n                inst,\n                continue: !def.abort,\n            });\n        }\n        if (input > maximum) {\n            payload.issues.push({\n                origin: \"bigint\",\n                input,\n                code: \"too_big\",\n                maximum,\n                inst,\n            });\n        }\n    };\n});\nexport const $ZodCheckMaxSize = /*@__PURE__*/ core.$constructor(\"$ZodCheckMaxSize\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.size !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const curr = (inst._zod.bag.maximum ?? Number.POSITIVE_INFINITY);\n        if (def.maximum < curr)\n            inst._zod.bag.maximum = def.maximum;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const size = input.size;\n        if (size <= def.maximum)\n            return;\n        payload.issues.push({\n            origin: util.getSizableOrigin(input),\n            code: \"too_big\",\n            maximum: def.maximum,\n            input,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckMinSize = /*@__PURE__*/ core.$constructor(\"$ZodCheckMinSize\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.size !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const curr = (inst._zod.bag.minimum ?? Number.NEGATIVE_INFINITY);\n        if (def.minimum > curr)\n            inst._zod.bag.minimum = def.minimum;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const size = input.size;\n        if (size >= def.minimum)\n            return;\n        payload.issues.push({\n            origin: util.getSizableOrigin(input),\n            code: \"too_small\",\n            minimum: def.minimum,\n            input,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckSizeEquals = /*@__PURE__*/ core.$constructor(\"$ZodCheckSizeEquals\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.size !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.minimum = def.size;\n        bag.maximum = def.size;\n        bag.size = def.size;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const size = input.size;\n        if (size === def.size)\n            return;\n        const tooBig = size > def.size;\n        payload.issues.push({\n            origin: util.getSizableOrigin(input),\n            ...(tooBig ? { code: \"too_big\", maximum: def.size } : { code: \"too_small\", minimum: def.size }),\n            inclusive: true,\n            exact: true,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckMaxLength = /*@__PURE__*/ core.$constructor(\"$ZodCheckMaxLength\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.length !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const curr = (inst._zod.bag.maximum ?? Number.POSITIVE_INFINITY);\n        if (def.maximum < curr)\n            inst._zod.bag.maximum = def.maximum;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const length = input.length;\n        if (length <= def.maximum)\n            return;\n        const origin = util.getLengthableOrigin(input);\n        payload.issues.push({\n            origin,\n            code: \"too_big\",\n            maximum: def.maximum,\n            inclusive: true,\n            input,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckMinLength = /*@__PURE__*/ core.$constructor(\"$ZodCheckMinLength\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.length !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const curr = (inst._zod.bag.minimum ?? Number.NEGATIVE_INFINITY);\n        if (def.minimum > curr)\n            inst._zod.bag.minimum = def.minimum;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const length = input.length;\n        if (length >= def.minimum)\n            return;\n        const origin = util.getLengthableOrigin(input);\n        payload.issues.push({\n            origin,\n            code: \"too_small\",\n            minimum: def.minimum,\n            inclusive: true,\n            input,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckLengthEquals = /*@__PURE__*/ core.$constructor(\"$ZodCheckLengthEquals\", (inst, def) => {\n    var _a;\n    $ZodCheck.init(inst, def);\n    (_a = inst._zod.def).when ?? (_a.when = (payload) => {\n        const val = payload.value;\n        return !util.nullish(val) && val.length !== undefined;\n    });\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.minimum = def.length;\n        bag.maximum = def.length;\n        bag.length = def.length;\n    });\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const length = input.length;\n        if (length === def.length)\n            return;\n        const origin = util.getLengthableOrigin(input);\n        const tooBig = length > def.length;\n        payload.issues.push({\n            origin,\n            ...(tooBig ? { code: \"too_big\", maximum: def.length } : { code: \"too_small\", minimum: def.length }),\n            inclusive: true,\n            exact: true,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckStringFormat = /*@__PURE__*/ core.$constructor(\"$ZodCheckStringFormat\", (inst, def) => {\n    var _a, _b;\n    $ZodCheck.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.format = def.format;\n        if (def.pattern) {\n            bag.patterns ?? (bag.patterns = new Set());\n            bag.patterns.add(def.pattern);\n        }\n    });\n    if (def.pattern)\n        (_a = inst._zod).check ?? (_a.check = (payload) => {\n            def.pattern.lastIndex = 0;\n            if (def.pattern.test(payload.value))\n                return;\n            payload.issues.push({\n                origin: \"string\",\n                code: \"invalid_format\",\n                format: def.format,\n                input: payload.value,\n                ...(def.pattern ? { pattern: def.pattern.toString() } : {}),\n                inst,\n                continue: !def.abort,\n            });\n        });\n    else\n        (_b = inst._zod).check ?? (_b.check = () => { });\n});\nexport const $ZodCheckRegex = /*@__PURE__*/ core.$constructor(\"$ZodCheckRegex\", (inst, def) => {\n    $ZodCheckStringFormat.init(inst, def);\n    inst._zod.check = (payload) => {\n        def.pattern.lastIndex = 0;\n        if (def.pattern.test(payload.value))\n            return;\n        payload.issues.push({\n            origin: \"string\",\n            code: \"invalid_format\",\n            format: \"regex\",\n            input: payload.value,\n            pattern: def.pattern.toString(),\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckLowerCase = /*@__PURE__*/ core.$constructor(\"$ZodCheckLowerCase\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.lowercase);\n    $ZodCheckStringFormat.init(inst, def);\n});\nexport const $ZodCheckUpperCase = /*@__PURE__*/ core.$constructor(\"$ZodCheckUpperCase\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.uppercase);\n    $ZodCheckStringFormat.init(inst, def);\n});\nexport const $ZodCheckIncludes = /*@__PURE__*/ core.$constructor(\"$ZodCheckIncludes\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const escapedRegex = util.escapeRegex(def.includes);\n    const pattern = new RegExp(typeof def.position === \"number\" ? `^.{${def.position}}${escapedRegex}` : escapedRegex);\n    def.pattern = pattern;\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.patterns ?? (bag.patterns = new Set());\n        bag.patterns.add(pattern);\n    });\n    inst._zod.check = (payload) => {\n        if (payload.value.includes(def.includes, def.position))\n            return;\n        payload.issues.push({\n            origin: \"string\",\n            code: \"invalid_format\",\n            format: \"includes\",\n            includes: def.includes,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckStartsWith = /*@__PURE__*/ core.$constructor(\"$ZodCheckStartsWith\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const pattern = new RegExp(`^${util.escapeRegex(def.prefix)}.*`);\n    def.pattern ?? (def.pattern = pattern);\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.patterns ?? (bag.patterns = new Set());\n        bag.patterns.add(pattern);\n    });\n    inst._zod.check = (payload) => {\n        if (payload.value.startsWith(def.prefix))\n            return;\n        payload.issues.push({\n            origin: \"string\",\n            code: \"invalid_format\",\n            format: \"starts_with\",\n            prefix: def.prefix,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCheckEndsWith = /*@__PURE__*/ core.$constructor(\"$ZodCheckEndsWith\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const pattern = new RegExp(`.*${util.escapeRegex(def.suffix)}$`);\n    def.pattern ?? (def.pattern = pattern);\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.patterns ?? (bag.patterns = new Set());\n        bag.patterns.add(pattern);\n    });\n    inst._zod.check = (payload) => {\n        if (payload.value.endsWith(def.suffix))\n            return;\n        payload.issues.push({\n            origin: \"string\",\n            code: \"invalid_format\",\n            format: \"ends_with\",\n            suffix: def.suffix,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\n///////////////////////////////////\n/////    $ZodCheckProperty    /////\n///////////////////////////////////\nfunction handleCheckPropertyResult(result, payload, property) {\n    if (result.issues.length) {\n        payload.issues.push(...util.prefixIssues(property, result.issues));\n    }\n}\nexport const $ZodCheckProperty = /*@__PURE__*/ core.$constructor(\"$ZodCheckProperty\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    inst._zod.check = (payload) => {\n        const result = def.schema._zod.run({\n            value: payload.value[def.property],\n            issues: [],\n        }, {});\n        if (result instanceof Promise) {\n            return result.then((result) => handleCheckPropertyResult(result, payload, def.property));\n        }\n        handleCheckPropertyResult(result, payload, def.property);\n        return;\n    };\n});\nexport const $ZodCheckMimeType = /*@__PURE__*/ core.$constructor(\"$ZodCheckMimeType\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    const mimeSet = new Set(def.mime);\n    inst._zod.onattach.push((inst) => {\n        inst._zod.bag.mime = def.mime;\n    });\n    inst._zod.check = (payload) => {\n        if (mimeSet.has(payload.value.type))\n            return;\n        payload.issues.push({\n            code: \"invalid_value\",\n            values: def.mime,\n            input: payload.value.type,\n            inst,\n        });\n    };\n});\nexport const $ZodCheckOverwrite = /*@__PURE__*/ core.$constructor(\"$ZodCheckOverwrite\", (inst, def) => {\n    $ZodCheck.init(inst, def);\n    inst._zod.check = (payload) => {\n        payload.value = def.tx(payload.value);\n    };\n});\n", "export class Doc {\n    constructor(args = []) {\n        this.content = [];\n        this.indent = 0;\n        if (this)\n            this.args = args;\n    }\n    indented(fn) {\n        this.indent += 1;\n        fn(this);\n        this.indent -= 1;\n    }\n    write(arg) {\n        if (typeof arg === \"function\") {\n            arg(this, { execution: \"sync\" });\n            arg(this, { execution: \"async\" });\n            return;\n        }\n        const content = arg;\n        const lines = content.split(\"\\n\").filter((x) => x);\n        const minIndent = Math.min(...lines.map((x) => x.length - x.trimStart().length));\n        const dedented = lines.map((x) => x.slice(minIndent)).map((x) => \" \".repeat(this.indent * 2) + x);\n        for (const line of dedented) {\n            this.content.push(line);\n        }\n    }\n    compile() {\n        const F = Function;\n        const args = this?.args;\n        const content = this?.content ?? [``];\n        const lines = [...content.map((x) => `  ${x}`)];\n        // console.log(lines.join(\"\\n\"));\n        return new F(...args, lines.join(\"\\n\"));\n    }\n}\n", "export const version = {\n    major: 4,\n    minor: 0,\n    patch: 0,\n};\n", "import * as checks from \"./checks.js\";\nimport * as core from \"./core.js\";\nimport { Doc } from \"./doc.js\";\nimport { safeParse, safeParseAsync } from \"./parse.js\";\nimport * as regexes from \"./regexes.js\";\nimport * as util from \"./util.js\";\nimport { version } from \"./versions.js\";\nexport const $ZodType = /*@__PURE__*/ core.$constructor(\"$ZodType\", (inst, def) => {\n    var _a;\n    inst ?? (inst = {});\n    inst._zod.def = def; // set _def property\n    inst._zod.bag = inst._zod.bag || {}; // initialize _bag object\n    inst._zod.version = version;\n    const checks = [...(inst._zod.def.checks ?? [])];\n    // if inst is itself a checks.$ZodCheck, run it as a check\n    if (inst._zod.traits.has(\"$ZodCheck\")) {\n        checks.unshift(inst);\n    }\n    //\n    for (const ch of checks) {\n        for (const fn of ch._zod.onattach) {\n            fn(inst);\n        }\n    }\n    if (checks.length === 0) {\n        // deferred initializer\n        // inst._zod.parse is not yet defined\n        (_a = inst._zod).deferred ?? (_a.deferred = []);\n        inst._zod.deferred?.push(() => {\n            inst._zod.run = inst._zod.parse;\n        });\n    }\n    else {\n        const runChecks = (payload, checks, ctx) => {\n            let isAborted = util.aborted(payload);\n            let asyncResult;\n            for (const ch of checks) {\n                if (ch._zod.def.when) {\n                    const shouldRun = ch._zod.def.when(payload);\n                    if (!shouldRun)\n                        continue;\n                }\n                else if (isAborted) {\n                    continue;\n                }\n                const currLen = payload.issues.length;\n                const _ = ch._zod.check(payload);\n                if (_ instanceof Promise && ctx?.async === false) {\n                    throw new core.$ZodAsyncError();\n                }\n                if (asyncResult || _ instanceof Promise) {\n                    asyncResult = (asyncResult ?? Promise.resolve()).then(async () => {\n                        await _;\n                        const nextLen = payload.issues.length;\n                        if (nextLen === currLen)\n                            return;\n                        if (!isAborted)\n                            isAborted = util.aborted(payload, currLen);\n                    });\n                }\n                else {\n                    const nextLen = payload.issues.length;\n                    if (nextLen === currLen)\n                        continue;\n                    if (!isAborted)\n                        isAborted = util.aborted(payload, currLen);\n                }\n            }\n            if (asyncResult) {\n                return asyncResult.then(() => {\n                    return payload;\n                });\n            }\n            return payload;\n        };\n        inst._zod.run = (payload, ctx) => {\n            const result = inst._zod.parse(payload, ctx);\n            if (result instanceof Promise) {\n                if (ctx.async === false)\n                    throw new core.$ZodAsyncError();\n                return result.then((result) => runChecks(result, checks, ctx));\n            }\n            return runChecks(result, checks, ctx);\n        };\n    }\n    inst[\"~standard\"] = {\n        validate: (value) => {\n            try {\n                const r = safeParse(inst, value);\n                return r.success ? { value: r.data } : { issues: r.error?.issues };\n            }\n            catch (_) {\n                return safeParseAsync(inst, value).then((r) => (r.success ? { value: r.data } : { issues: r.error?.issues }));\n            }\n        },\n        vendor: \"zod\",\n        version: 1,\n    };\n});\nexport { clone } from \"./util.js\";\nexport const $ZodString = /*@__PURE__*/ core.$constructor(\"$ZodString\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = [...(inst?._zod.bag?.patterns ?? [])].pop() ?? regexes.string(inst._zod.bag);\n    inst._zod.parse = (payload, _) => {\n        if (def.coerce)\n            try {\n                payload.value = String(payload.value);\n            }\n            catch (_) { }\n        if (typeof payload.value === \"string\")\n            return payload;\n        payload.issues.push({\n            expected: \"string\",\n            code: \"invalid_type\",\n            input: payload.value,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodStringFormat = /*@__PURE__*/ core.$constructor(\"$ZodStringFormat\", (inst, def) => {\n    // check initialization must come first\n    checks.$ZodCheckStringFormat.init(inst, def);\n    $ZodString.init(inst, def);\n});\nexport const $ZodGUID = /*@__PURE__*/ core.$constructor(\"$ZodGUID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.guid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodUUID = /*@__PURE__*/ core.$constructor(\"$ZodUUID\", (inst, def) => {\n    if (def.version) {\n        const versionMap = {\n            v1: 1,\n            v2: 2,\n            v3: 3,\n            v4: 4,\n            v5: 5,\n            v6: 6,\n            v7: 7,\n            v8: 8,\n        };\n        const v = versionMap[def.version];\n        if (v === undefined)\n            throw new Error(`Invalid UUID version: \"${def.version}\"`);\n        def.pattern ?? (def.pattern = regexes.uuid(v));\n    }\n    else\n        def.pattern ?? (def.pattern = regexes.uuid());\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodEmail = /*@__PURE__*/ core.$constructor(\"$ZodEmail\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.email);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodURL = /*@__PURE__*/ core.$constructor(\"$ZodURL\", (inst, def) => {\n    $ZodStringFormat.init(inst, def);\n    inst._zod.check = (payload) => {\n        try {\n            const orig = payload.value;\n            const url = new URL(orig);\n            const href = url.href;\n            if (def.hostname) {\n                def.hostname.lastIndex = 0;\n                if (!def.hostname.test(url.hostname)) {\n                    payload.issues.push({\n                        code: \"invalid_format\",\n                        format: \"url\",\n                        note: \"Invalid hostname\",\n                        pattern: regexes.hostname.source,\n                        input: payload.value,\n                        inst,\n                        continue: !def.abort,\n                    });\n                }\n            }\n            if (def.protocol) {\n                def.protocol.lastIndex = 0;\n                if (!def.protocol.test(url.protocol.endsWith(\":\") ? url.protocol.slice(0, -1) : url.protocol)) {\n                    payload.issues.push({\n                        code: \"invalid_format\",\n                        format: \"url\",\n                        note: \"Invalid protocol\",\n                        pattern: def.protocol.source,\n                        input: payload.value,\n                        inst,\n                        continue: !def.abort,\n                    });\n                }\n            }\n            // payload.value = url.href;\n            if (!orig.endsWith(\"/\") && href.endsWith(\"/\")) {\n                payload.value = href.slice(0, -1);\n            }\n            else {\n                payload.value = href;\n            }\n            return;\n        }\n        catch (_) {\n            payload.issues.push({\n                code: \"invalid_format\",\n                format: \"url\",\n                input: payload.value,\n                inst,\n                continue: !def.abort,\n            });\n        }\n    };\n});\nexport const $ZodEmoji = /*@__PURE__*/ core.$constructor(\"$ZodEmoji\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.emoji());\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodNanoID = /*@__PURE__*/ core.$constructor(\"$ZodNanoID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.nanoid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodCUID = /*@__PURE__*/ core.$constructor(\"$ZodCUID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.cuid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodCUID2 = /*@__PURE__*/ core.$constructor(\"$ZodCUID2\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.cuid2);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodULID = /*@__PURE__*/ core.$constructor(\"$ZodULID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.ulid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodXID = /*@__PURE__*/ core.$constructor(\"$ZodXID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.xid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodKSUID = /*@__PURE__*/ core.$constructor(\"$ZodKSUID\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.ksuid);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodISODateTime = /*@__PURE__*/ core.$constructor(\"$ZodISODateTime\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.datetime(def));\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodISODate = /*@__PURE__*/ core.$constructor(\"$ZodISODate\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.date);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodISOTime = /*@__PURE__*/ core.$constructor(\"$ZodISOTime\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.time(def));\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodISODuration = /*@__PURE__*/ core.$constructor(\"$ZodISODuration\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.duration);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodIPv4 = /*@__PURE__*/ core.$constructor(\"$ZodIPv4\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.ipv4);\n    $ZodStringFormat.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.format = `ipv4`;\n    });\n});\nexport const $ZodIPv6 = /*@__PURE__*/ core.$constructor(\"$ZodIPv6\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.ipv6);\n    $ZodStringFormat.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        const bag = inst._zod.bag;\n        bag.format = `ipv6`;\n    });\n    inst._zod.check = (payload) => {\n        try {\n            new URL(`http://[${payload.value}]`);\n            // return;\n        }\n        catch {\n            payload.issues.push({\n                code: \"invalid_format\",\n                format: \"ipv6\",\n                input: payload.value,\n                inst,\n                continue: !def.abort,\n            });\n        }\n    };\n});\nexport const $ZodCIDRv4 = /*@__PURE__*/ core.$constructor(\"$ZodCIDRv4\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.cidrv4);\n    $ZodStringFormat.init(inst, def);\n});\nexport const $ZodCIDRv6 = /*@__PURE__*/ core.$constructor(\"$ZodCIDRv6\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.cidrv6); // not used for validation\n    $ZodStringFormat.init(inst, def);\n    inst._zod.check = (payload) => {\n        const [address, prefix] = payload.value.split(\"/\");\n        try {\n            if (!prefix)\n                throw new Error();\n            const prefixNum = Number(prefix);\n            if (`${prefixNum}` !== prefix)\n                throw new Error();\n            if (prefixNum < 0 || prefixNum > 128)\n                throw new Error();\n            new URL(`http://[${address}]`);\n        }\n        catch {\n            payload.issues.push({\n                code: \"invalid_format\",\n                format: \"cidrv6\",\n                input: payload.value,\n                inst,\n                continue: !def.abort,\n            });\n        }\n    };\n});\n//////////////////////////////   ZodBase64   //////////////////////////////\nexport function isValidBase64(data) {\n    if (data === \"\")\n        return true;\n    if (data.length % 4 !== 0)\n        return false;\n    try {\n        atob(data);\n        return true;\n    }\n    catch {\n        return false;\n    }\n}\nexport const $ZodBase64 = /*@__PURE__*/ core.$constructor(\"$ZodBase64\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.base64);\n    $ZodStringFormat.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        inst._zod.bag.contentEncoding = \"base64\";\n    });\n    inst._zod.check = (payload) => {\n        if (isValidBase64(payload.value))\n            return;\n        payload.issues.push({\n            code: \"invalid_format\",\n            format: \"base64\",\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\n//////////////////////////////   ZodBase64   //////////////////////////////\nexport function isValidBase64URL(data) {\n    if (!regexes.base64url.test(data))\n        return false;\n    const base64 = data.replace(/[-_]/g, (c) => (c === \"-\" ? \"+\" : \"/\"));\n    const padded = base64.padEnd(Math.ceil(base64.length / 4) * 4, \"=\");\n    return isValidBase64(padded);\n}\nexport const $ZodBase64URL = /*@__PURE__*/ core.$constructor(\"$ZodBase64URL\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.base64url);\n    $ZodStringFormat.init(inst, def);\n    inst._zod.onattach.push((inst) => {\n        inst._zod.bag.contentEncoding = \"base64url\";\n    });\n    inst._zod.check = (payload) => {\n        if (isValidBase64URL(payload.value))\n            return;\n        payload.issues.push({\n            code: \"invalid_format\",\n            format: \"base64url\",\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodE164 = /*@__PURE__*/ core.$constructor(\"$ZodE164\", (inst, def) => {\n    def.pattern ?? (def.pattern = regexes.e164);\n    $ZodStringFormat.init(inst, def);\n});\n//////////////////////////////   ZodJWT   //////////////////////////////\nexport function isValidJWT(token, algorithm = null) {\n    try {\n        const tokensParts = token.split(\".\");\n        if (tokensParts.length !== 3)\n            return false;\n        const [header] = tokensParts;\n        if (!header)\n            return false;\n        const parsedHeader = JSON.parse(atob(header));\n        if (\"typ\" in parsedHeader && parsedHeader?.typ !== \"JWT\")\n            return false;\n        if (!parsedHeader.alg)\n            return false;\n        if (algorithm && (!(\"alg\" in parsedHeader) || parsedHeader.alg !== algorithm))\n            return false;\n        return true;\n    }\n    catch {\n        return false;\n    }\n}\nexport const $ZodJWT = /*@__PURE__*/ core.$constructor(\"$ZodJWT\", (inst, def) => {\n    $ZodStringFormat.init(inst, def);\n    inst._zod.check = (payload) => {\n        if (isValidJWT(payload.value, def.alg))\n            return;\n        payload.issues.push({\n            code: \"invalid_format\",\n            format: \"jwt\",\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodCustomStringFormat = /*@__PURE__*/ core.$constructor(\"$ZodCustomStringFormat\", (inst, def) => {\n    $ZodStringFormat.init(inst, def);\n    inst._zod.check = (payload) => {\n        if (def.fn(payload.value))\n            return;\n        payload.issues.push({\n            code: \"invalid_format\",\n            format: def.format,\n            input: payload.value,\n            inst,\n            continue: !def.abort,\n        });\n    };\n});\nexport const $ZodNumber = /*@__PURE__*/ core.$constructor(\"$ZodNumber\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = inst._zod.bag.pattern ?? regexes.number;\n    inst._zod.parse = (payload, _ctx) => {\n        if (def.coerce)\n            try {\n                payload.value = Number(payload.value);\n            }\n            catch (_) { }\n        const input = payload.value;\n        if (typeof input === \"number\" && !Number.isNaN(input) && Number.isFinite(input)) {\n            return payload;\n        }\n        const received = typeof input === \"number\"\n            ? Number.isNaN(input)\n                ? \"NaN\"\n                : !Number.isFinite(input)\n                    ? \"Infinity\"\n                    : undefined\n            : undefined;\n        payload.issues.push({\n            expected: \"number\",\n            code: \"invalid_type\",\n            input,\n            inst,\n            ...(received ? { received } : {}),\n        });\n        return payload;\n    };\n});\nexport const $ZodNumberFormat = /*@__PURE__*/ core.$constructor(\"$ZodNumber\", (inst, def) => {\n    checks.$ZodCheckNumberFormat.init(inst, def);\n    $ZodNumber.init(inst, def); // no format checksp\n});\nexport const $ZodBoolean = /*@__PURE__*/ core.$constructor(\"$ZodBoolean\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = regexes.boolean;\n    inst._zod.parse = (payload, _ctx) => {\n        if (def.coerce)\n            try {\n                payload.value = Boolean(payload.value);\n            }\n            catch (_) { }\n        const input = payload.value;\n        if (typeof input === \"boolean\")\n            return payload;\n        payload.issues.push({\n            expected: \"boolean\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodBigInt = /*@__PURE__*/ core.$constructor(\"$ZodBigInt\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = regexes.bigint;\n    inst._zod.parse = (payload, _ctx) => {\n        if (def.coerce)\n            try {\n                payload.value = BigInt(payload.value);\n            }\n            catch (_) { }\n        if (typeof payload.value === \"bigint\")\n            return payload;\n        payload.issues.push({\n            expected: \"bigint\",\n            code: \"invalid_type\",\n            input: payload.value,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodBigIntFormat = /*@__PURE__*/ core.$constructor(\"$ZodBigInt\", (inst, def) => {\n    checks.$ZodCheckBigIntFormat.init(inst, def);\n    $ZodBigInt.init(inst, def); // no format checks\n});\nexport const $ZodSymbol = /*@__PURE__*/ core.$constructor(\"$ZodSymbol\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (typeof input === \"symbol\")\n            return payload;\n        payload.issues.push({\n            expected: \"symbol\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodUndefined = /*@__PURE__*/ core.$constructor(\"$ZodUndefined\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = regexes.undefined;\n    inst._zod.values = new Set([undefined]);\n    inst._zod.optin = \"optional\";\n    inst._zod.optout = \"optional\";\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (typeof input === \"undefined\")\n            return payload;\n        payload.issues.push({\n            expected: \"undefined\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodNull = /*@__PURE__*/ core.$constructor(\"$ZodNull\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.pattern = regexes.null;\n    inst._zod.values = new Set([null]);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (input === null)\n            return payload;\n        payload.issues.push({\n            expected: \"null\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodAny = /*@__PURE__*/ core.$constructor(\"$ZodAny\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload) => payload;\n});\nexport const $ZodUnknown = /*@__PURE__*/ core.$constructor(\"$ZodUnknown\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload) => payload;\n});\nexport const $ZodNever = /*@__PURE__*/ core.$constructor(\"$ZodNever\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        payload.issues.push({\n            expected: \"never\",\n            code: \"invalid_type\",\n            input: payload.value,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodVoid = /*@__PURE__*/ core.$constructor(\"$ZodVoid\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (typeof input === \"undefined\")\n            return payload;\n        payload.issues.push({\n            expected: \"void\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodDate = /*@__PURE__*/ core.$constructor(\"$ZodDate\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        if (def.coerce) {\n            try {\n                payload.value = new Date(payload.value);\n            }\n            catch (_err) { }\n        }\n        const input = payload.value;\n        const isDate = input instanceof Date;\n        const isValidDate = isDate && !Number.isNaN(input.getTime());\n        if (isValidDate)\n            return payload;\n        payload.issues.push({\n            expected: \"date\",\n            code: \"invalid_type\",\n            input,\n            ...(isDate ? { received: \"Invalid Date\" } : {}),\n            inst,\n        });\n        return payload;\n    };\n});\nfunction handleArrayResult(result, final, index) {\n    if (result.issues.length) {\n        final.issues.push(...util.prefixIssues(index, result.issues));\n    }\n    final.value[index] = result.value;\n}\nexport const $ZodArray = /*@__PURE__*/ core.$constructor(\"$ZodArray\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!Array.isArray(input)) {\n            payload.issues.push({\n                expected: \"array\",\n                code: \"invalid_type\",\n                input,\n                inst,\n            });\n            return payload;\n        }\n        payload.value = Array(input.length);\n        const proms = [];\n        for (let i = 0; i < input.length; i++) {\n            const item = input[i];\n            const result = def.element._zod.run({\n                value: item,\n                issues: [],\n            }, ctx);\n            if (result instanceof Promise) {\n                proms.push(result.then((result) => handleArrayResult(result, payload, i)));\n            }\n            else {\n                handleArrayResult(result, payload, i);\n            }\n        }\n        if (proms.length) {\n            return Promise.all(proms).then(() => payload);\n        }\n        return payload; //handleArrayResultsAsync(parseResults, final);\n    };\n});\nfunction handleObjectResult(result, final, key) {\n    // if(isOptional)\n    if (result.issues.length) {\n        final.issues.push(...util.prefixIssues(key, result.issues));\n    }\n    final.value[key] = result.value;\n}\nfunction handleOptionalObjectResult(result, final, key, input) {\n    if (result.issues.length) {\n        // validation failed against value schema\n        if (input[key] === undefined) {\n            // if input was undefined, ignore the error\n            if (key in input) {\n                final.value[key] = undefined;\n            }\n            else {\n                final.value[key] = result.value;\n            }\n        }\n        else {\n            final.issues.push(...util.prefixIssues(key, result.issues));\n        }\n    }\n    else if (result.value === undefined) {\n        // validation returned `undefined`\n        if (key in input)\n            final.value[key] = undefined;\n    }\n    else {\n        // non-undefined value\n        final.value[key] = result.value;\n    }\n}\nexport const $ZodObject = /*@__PURE__*/ core.$constructor(\"$ZodObject\", (inst, def) => {\n    // requires cast because technically $ZodObject doesn't extend\n    $ZodType.init(inst, def);\n    const _normalized = util.cached(() => {\n        const keys = Object.keys(def.shape);\n        for (const k of keys) {\n            if (!(def.shape[k] instanceof $ZodType)) {\n                throw new Error(`Invalid element at key \"${k}\": expected a Zod schema`);\n            }\n        }\n        const okeys = util.optionalKeys(def.shape);\n        return {\n            shape: def.shape,\n            keys,\n            keySet: new Set(keys),\n            numKeys: keys.length,\n            optionalKeys: new Set(okeys),\n        };\n    });\n    util.defineLazy(inst._zod, \"propValues\", () => {\n        const shape = def.shape;\n        const propValues = {};\n        for (const key in shape) {\n            const field = shape[key]._zod;\n            if (field.values) {\n                propValues[key] ?? (propValues[key] = new Set());\n                for (const v of field.values)\n                    propValues[key].add(v);\n            }\n        }\n        return propValues;\n    });\n    const generateFastpass = (shape) => {\n        const doc = new Doc([\"shape\", \"payload\", \"ctx\"]);\n        const normalized = _normalized.value;\n        const parseStr = (key) => {\n            const k = util.esc(key);\n            return `shape[${k}]._zod.run({ value: input[${k}], issues: [] }, ctx)`;\n        };\n        doc.write(`const input = payload.value;`);\n        const ids = Object.create(null);\n        let counter = 0;\n        for (const key of normalized.keys) {\n            ids[key] = `key_${counter++}`;\n        }\n        // A: preserve key order {\n        doc.write(`const newResult = {}`);\n        for (const key of normalized.keys) {\n            if (normalized.optionalKeys.has(key)) {\n                const id = ids[key];\n                doc.write(`const ${id} = ${parseStr(key)};`);\n                const k = util.esc(key);\n                doc.write(`\n        if (${id}.issues.length) {\n          if (input[${k}] === undefined) {\n            if (${k} in input) {\n              newResult[${k}] = undefined;\n            }\n          } else {\n            payload.issues = payload.issues.concat(\n              ${id}.issues.map((iss) => ({\n                ...iss,\n                path: iss.path ? [${k}, ...iss.path] : [${k}],\n              }))\n            );\n          }\n        } else if (${id}.value === undefined) {\n          if (${k} in input) newResult[${k}] = undefined;\n        } else {\n          newResult[${k}] = ${id}.value;\n        }\n        `);\n            }\n            else {\n                const id = ids[key];\n                //  const id = ids[key];\n                doc.write(`const ${id} = ${parseStr(key)};`);\n                doc.write(`\n          if (${id}.issues.length) payload.issues = payload.issues.concat(${id}.issues.map(iss => ({\n            ...iss,\n            path: iss.path ? [${util.esc(key)}, ...iss.path] : [${util.esc(key)}]\n          })));`);\n                doc.write(`newResult[${util.esc(key)}] = ${id}.value`);\n            }\n        }\n        doc.write(`payload.value = newResult;`);\n        doc.write(`return payload;`);\n        const fn = doc.compile();\n        return (payload, ctx) => fn(shape, payload, ctx);\n    };\n    let fastpass;\n    const isObject = util.isObject;\n    const jit = !core.globalConfig.jitless;\n    const allowsEval = util.allowsEval;\n    const fastEnabled = jit && allowsEval.value; // && !def.catchall;\n    const catchall = def.catchall;\n    let value;\n    inst._zod.parse = (payload, ctx) => {\n        value ?? (value = _normalized.value);\n        const input = payload.value;\n        if (!isObject(input)) {\n            payload.issues.push({\n                expected: \"object\",\n                code: \"invalid_type\",\n                input,\n                inst,\n            });\n            return payload;\n        }\n        const proms = [];\n        if (jit && fastEnabled && ctx?.async === false && ctx.jitless !== true) {\n            // always synchronous\n            if (!fastpass)\n                fastpass = generateFastpass(def.shape);\n            payload = fastpass(payload, ctx);\n        }\n        else {\n            payload.value = {};\n            const shape = value.shape;\n            for (const key of value.keys) {\n                const el = shape[key];\n                // do not add omitted optional keys\n                // if (!(key in input)) {\n                //   if (optionalKeys.has(key)) continue;\n                //   payload.issues.push({\n                //     code: \"invalid_type\",\n                //     path: [key],\n                //     expected: \"nonoptional\",\n                //     note: `Missing required key: \"${key}\"`,\n                //     input,\n                //     inst,\n                //   });\n                // }\n                const r = el._zod.run({ value: input[key], issues: [] }, ctx);\n                const isOptional = el._zod.optin === \"optional\" && el._zod.optout === \"optional\";\n                if (r instanceof Promise) {\n                    proms.push(r.then((r) => isOptional ? handleOptionalObjectResult(r, payload, key, input) : handleObjectResult(r, payload, key)));\n                }\n                else if (isOptional) {\n                    handleOptionalObjectResult(r, payload, key, input);\n                }\n                else {\n                    handleObjectResult(r, payload, key);\n                }\n            }\n        }\n        if (!catchall) {\n            // return payload;\n            return proms.length ? Promise.all(proms).then(() => payload) : payload;\n        }\n        const unrecognized = [];\n        // iterate over input keys\n        const keySet = value.keySet;\n        const _catchall = catchall._zod;\n        const t = _catchall.def.type;\n        for (const key of Object.keys(input)) {\n            if (keySet.has(key))\n                continue;\n            if (t === \"never\") {\n                unrecognized.push(key);\n                continue;\n            }\n            const r = _catchall.run({ value: input[key], issues: [] }, ctx);\n            if (r instanceof Promise) {\n                proms.push(r.then((r) => handleObjectResult(r, payload, key)));\n            }\n            else {\n                handleObjectResult(r, payload, key);\n            }\n        }\n        if (unrecognized.length) {\n            payload.issues.push({\n                code: \"unrecognized_keys\",\n                keys: unrecognized,\n                input,\n                inst,\n            });\n        }\n        if (!proms.length)\n            return payload;\n        return Promise.all(proms).then(() => {\n            return payload;\n        });\n    };\n});\nfunction handleUnionResults(results, final, inst, ctx) {\n    for (const result of results) {\n        if (result.issues.length === 0) {\n            final.value = result.value;\n            return final;\n        }\n    }\n    final.issues.push({\n        code: \"invalid_union\",\n        input: final.value,\n        inst,\n        errors: results.map((result) => result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config()))),\n    });\n    return final;\n}\nexport const $ZodUnion = /*@__PURE__*/ core.$constructor(\"$ZodUnion\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"optin\", () => def.options.some((o) => o._zod.optin === \"optional\") ? \"optional\" : undefined);\n    util.defineLazy(inst._zod, \"optout\", () => def.options.some((o) => o._zod.optout === \"optional\") ? \"optional\" : undefined);\n    util.defineLazy(inst._zod, \"values\", () => {\n        if (def.options.every((o) => o._zod.values)) {\n            return new Set(def.options.flatMap((option) => Array.from(option._zod.values)));\n        }\n        return undefined;\n    });\n    util.defineLazy(inst._zod, \"pattern\", () => {\n        if (def.options.every((o) => o._zod.pattern)) {\n            const patterns = def.options.map((o) => o._zod.pattern);\n            return new RegExp(`^(${patterns.map((p) => util.cleanRegex(p.source)).join(\"|\")})$`);\n        }\n        return undefined;\n    });\n    inst._zod.parse = (payload, ctx) => {\n        let async = false;\n        const results = [];\n        for (const option of def.options) {\n            const result = option._zod.run({\n                value: payload.value,\n                issues: [],\n            }, ctx);\n            if (result instanceof Promise) {\n                results.push(result);\n                async = true;\n            }\n            else {\n                if (result.issues.length === 0)\n                    return result;\n                results.push(result);\n            }\n        }\n        if (!async)\n            return handleUnionResults(results, payload, inst, ctx);\n        return Promise.all(results).then((results) => {\n            return handleUnionResults(results, payload, inst, ctx);\n        });\n    };\n});\nexport const $ZodDiscriminatedUnion = \n/*@__PURE__*/\ncore.$constructor(\"$ZodDiscriminatedUnion\", (inst, def) => {\n    $ZodUnion.init(inst, def);\n    const _super = inst._zod.parse;\n    util.defineLazy(inst._zod, \"propValues\", () => {\n        const propValues = {};\n        for (const option of def.options) {\n            const pv = option._zod.propValues;\n            if (!pv || Object.keys(pv).length === 0)\n                throw new Error(`Invalid discriminated union option at index \"${def.options.indexOf(option)}\"`);\n            for (const [k, v] of Object.entries(pv)) {\n                if (!propValues[k])\n                    propValues[k] = new Set();\n                for (const val of v) {\n                    propValues[k].add(val);\n                }\n            }\n        }\n        return propValues;\n    });\n    const disc = util.cached(() => {\n        const opts = def.options;\n        const map = new Map();\n        for (const o of opts) {\n            const values = o._zod.propValues[def.discriminator];\n            if (!values || values.size === 0)\n                throw new Error(`Invalid discriminated union option at index \"${def.options.indexOf(o)}\"`);\n            for (const v of values) {\n                if (map.has(v)) {\n                    throw new Error(`Duplicate discriminator value \"${String(v)}\"`);\n                }\n                map.set(v, o);\n            }\n        }\n        return map;\n    });\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!util.isObject(input)) {\n            payload.issues.push({\n                code: \"invalid_type\",\n                expected: \"object\",\n                input,\n                inst,\n            });\n            return payload;\n        }\n        const opt = disc.value.get(input?.[def.discriminator]);\n        if (opt) {\n            return opt._zod.run(payload, ctx);\n        }\n        if (def.unionFallback) {\n            return _super(payload, ctx);\n        }\n        // no matching discriminator\n        payload.issues.push({\n            code: \"invalid_union\",\n            errors: [],\n            note: \"No matching discriminator\",\n            input,\n            path: [def.discriminator],\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodIntersection = /*@__PURE__*/ core.$constructor(\"$ZodIntersection\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        const left = def.left._zod.run({ value: input, issues: [] }, ctx);\n        const right = def.right._zod.run({ value: input, issues: [] }, ctx);\n        const async = left instanceof Promise || right instanceof Promise;\n        if (async) {\n            return Promise.all([left, right]).then(([left, right]) => {\n                return handleIntersectionResults(payload, left, right);\n            });\n        }\n        return handleIntersectionResults(payload, left, right);\n    };\n});\nfunction mergeValues(a, b) {\n    // const aType = parse.t(a);\n    // const bType = parse.t(b);\n    if (a === b) {\n        return { valid: true, data: a };\n    }\n    if (a instanceof Date && b instanceof Date && +a === +b) {\n        return { valid: true, data: a };\n    }\n    if (util.isPlainObject(a) && util.isPlainObject(b)) {\n        const bKeys = Object.keys(b);\n        const sharedKeys = Object.keys(a).filter((key) => bKeys.indexOf(key) !== -1);\n        const newObj = { ...a, ...b };\n        for (const key of sharedKeys) {\n            const sharedValue = mergeValues(a[key], b[key]);\n            if (!sharedValue.valid) {\n                return {\n                    valid: false,\n                    mergeErrorPath: [key, ...sharedValue.mergeErrorPath],\n                };\n            }\n            newObj[key] = sharedValue.data;\n        }\n        return { valid: true, data: newObj };\n    }\n    if (Array.isArray(a) && Array.isArray(b)) {\n        if (a.length !== b.length) {\n            return { valid: false, mergeErrorPath: [] };\n        }\n        const newArray = [];\n        for (let index = 0; index < a.length; index++) {\n            const itemA = a[index];\n            const itemB = b[index];\n            const sharedValue = mergeValues(itemA, itemB);\n            if (!sharedValue.valid) {\n                return {\n                    valid: false,\n                    mergeErrorPath: [index, ...sharedValue.mergeErrorPath],\n                };\n            }\n            newArray.push(sharedValue.data);\n        }\n        return { valid: true, data: newArray };\n    }\n    return { valid: false, mergeErrorPath: [] };\n}\nfunction handleIntersectionResults(result, left, right) {\n    if (left.issues.length) {\n        result.issues.push(...left.issues);\n    }\n    if (right.issues.length) {\n        result.issues.push(...right.issues);\n    }\n    if (util.aborted(result))\n        return result;\n    const merged = mergeValues(left.value, right.value);\n    if (!merged.valid) {\n        throw new Error(`Unmergable intersection. Error path: ` + `${JSON.stringify(merged.mergeErrorPath)}`);\n    }\n    result.value = merged.data;\n    return result;\n}\nexport const $ZodTuple = /*@__PURE__*/ core.$constructor(\"$ZodTuple\", (inst, def) => {\n    $ZodType.init(inst, def);\n    const items = def.items;\n    const optStart = items.length - [...items].reverse().findIndex((item) => item._zod.optin !== \"optional\");\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!Array.isArray(input)) {\n            payload.issues.push({\n                input,\n                inst,\n                expected: \"tuple\",\n                code: \"invalid_type\",\n            });\n            return payload;\n        }\n        payload.value = [];\n        const proms = [];\n        if (!def.rest) {\n            const tooBig = input.length > items.length;\n            const tooSmall = input.length < optStart - 1;\n            if (tooBig || tooSmall) {\n                payload.issues.push({\n                    input,\n                    inst,\n                    origin: \"array\",\n                    ...(tooBig ? { code: \"too_big\", maximum: items.length } : { code: \"too_small\", minimum: items.length }),\n                });\n                return payload;\n            }\n        }\n        let i = -1;\n        for (const item of items) {\n            i++;\n            if (i >= input.length)\n                if (i >= optStart)\n                    continue;\n            const result = item._zod.run({\n                value: input[i],\n                issues: [],\n            }, ctx);\n            if (result instanceof Promise) {\n                proms.push(result.then((result) => handleTupleResult(result, payload, i)));\n            }\n            else {\n                handleTupleResult(result, payload, i);\n            }\n        }\n        if (def.rest) {\n            const rest = input.slice(items.length);\n            for (const el of rest) {\n                i++;\n                const result = def.rest._zod.run({\n                    value: el,\n                    issues: [],\n                }, ctx);\n                if (result instanceof Promise) {\n                    proms.push(result.then((result) => handleTupleResult(result, payload, i)));\n                }\n                else {\n                    handleTupleResult(result, payload, i);\n                }\n            }\n        }\n        if (proms.length)\n            return Promise.all(proms).then(() => payload);\n        return payload;\n    };\n});\nfunction handleTupleResult(result, final, index) {\n    if (result.issues.length) {\n        final.issues.push(...util.prefixIssues(index, result.issues));\n    }\n    final.value[index] = result.value;\n}\nexport const $ZodRecord = /*@__PURE__*/ core.$constructor(\"$ZodRecord\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!util.isPlainObject(input)) {\n            payload.issues.push({\n                expected: \"record\",\n                code: \"invalid_type\",\n                input,\n                inst,\n            });\n            return payload;\n        }\n        const proms = [];\n        if (def.keyType._zod.values) {\n            const values = def.keyType._zod.values;\n            payload.value = {};\n            for (const key of values) {\n                if (typeof key === \"string\" || typeof key === \"number\" || typeof key === \"symbol\") {\n                    const result = def.valueType._zod.run({ value: input[key], issues: [] }, ctx);\n                    if (result instanceof Promise) {\n                        proms.push(result.then((result) => {\n                            if (result.issues.length) {\n                                payload.issues.push(...util.prefixIssues(key, result.issues));\n                            }\n                            payload.value[key] = result.value;\n                        }));\n                    }\n                    else {\n                        if (result.issues.length) {\n                            payload.issues.push(...util.prefixIssues(key, result.issues));\n                        }\n                        payload.value[key] = result.value;\n                    }\n                }\n            }\n            let unrecognized;\n            for (const key in input) {\n                if (!values.has(key)) {\n                    unrecognized = unrecognized ?? [];\n                    unrecognized.push(key);\n                }\n            }\n            if (unrecognized && unrecognized.length > 0) {\n                payload.issues.push({\n                    code: \"unrecognized_keys\",\n                    input,\n                    inst,\n                    keys: unrecognized,\n                });\n            }\n        }\n        else {\n            payload.value = {};\n            for (const key of Reflect.ownKeys(input)) {\n                if (key === \"__proto__\")\n                    continue;\n                const keyResult = def.keyType._zod.run({ value: key, issues: [] }, ctx);\n                if (keyResult instanceof Promise) {\n                    throw new Error(\"Async schemas not supported in object keys currently\");\n                }\n                if (keyResult.issues.length) {\n                    payload.issues.push({\n                        origin: \"record\",\n                        code: \"invalid_key\",\n                        issues: keyResult.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())),\n                        input: key,\n                        path: [key],\n                        inst,\n                    });\n                    payload.value[keyResult.value] = keyResult.value;\n                    continue;\n                }\n                const result = def.valueType._zod.run({ value: input[key], issues: [] }, ctx);\n                if (result instanceof Promise) {\n                    proms.push(result.then((result) => {\n                        if (result.issues.length) {\n                            payload.issues.push(...util.prefixIssues(key, result.issues));\n                        }\n                        payload.value[keyResult.value] = result.value;\n                    }));\n                }\n                else {\n                    if (result.issues.length) {\n                        payload.issues.push(...util.prefixIssues(key, result.issues));\n                    }\n                    payload.value[keyResult.value] = result.value;\n                }\n            }\n        }\n        if (proms.length) {\n            return Promise.all(proms).then(() => payload);\n        }\n        return payload;\n    };\n});\nexport const $ZodMap = /*@__PURE__*/ core.$constructor(\"$ZodMap\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!(input instanceof Map)) {\n            payload.issues.push({\n                expected: \"map\",\n                code: \"invalid_type\",\n                input,\n                inst,\n            });\n            return payload;\n        }\n        const proms = [];\n        payload.value = new Map();\n        for (const [key, value] of input) {\n            const keyResult = def.keyType._zod.run({ value: key, issues: [] }, ctx);\n            const valueResult = def.valueType._zod.run({ value: value, issues: [] }, ctx);\n            if (keyResult instanceof Promise || valueResult instanceof Promise) {\n                proms.push(Promise.all([keyResult, valueResult]).then(([keyResult, valueResult]) => {\n                    handleMapResult(keyResult, valueResult, payload, key, input, inst, ctx);\n                }));\n            }\n            else {\n                handleMapResult(keyResult, valueResult, payload, key, input, inst, ctx);\n            }\n        }\n        if (proms.length)\n            return Promise.all(proms).then(() => payload);\n        return payload;\n    };\n});\nfunction handleMapResult(keyResult, valueResult, final, key, input, inst, ctx) {\n    if (keyResult.issues.length) {\n        if (util.propertyKeyTypes.has(typeof key)) {\n            final.issues.push(...util.prefixIssues(key, keyResult.issues));\n        }\n        else {\n            final.issues.push({\n                origin: \"map\",\n                code: \"invalid_key\",\n                input,\n                inst,\n                issues: keyResult.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())),\n            });\n        }\n    }\n    if (valueResult.issues.length) {\n        if (util.propertyKeyTypes.has(typeof key)) {\n            final.issues.push(...util.prefixIssues(key, valueResult.issues));\n        }\n        else {\n            final.issues.push({\n                origin: \"map\",\n                code: \"invalid_element\",\n                input,\n                inst,\n                key: key,\n                issues: valueResult.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())),\n            });\n        }\n    }\n    final.value.set(keyResult.value, valueResult.value);\n}\nexport const $ZodSet = /*@__PURE__*/ core.$constructor(\"$ZodSet\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const input = payload.value;\n        if (!(input instanceof Set)) {\n            payload.issues.push({\n                input,\n                inst,\n                expected: \"set\",\n                code: \"invalid_type\",\n            });\n            return payload;\n        }\n        const proms = [];\n        payload.value = new Set();\n        for (const item of input) {\n            const result = def.valueType._zod.run({ value: item, issues: [] }, ctx);\n            if (result instanceof Promise) {\n                proms.push(result.then((result) => handleSetResult(result, payload)));\n            }\n            else\n                handleSetResult(result, payload);\n        }\n        if (proms.length)\n            return Promise.all(proms).then(() => payload);\n        return payload;\n    };\n});\nfunction handleSetResult(result, final) {\n    if (result.issues.length) {\n        final.issues.push(...result.issues);\n    }\n    final.value.add(result.value);\n}\nexport const $ZodEnum = /*@__PURE__*/ core.$constructor(\"$ZodEnum\", (inst, def) => {\n    $ZodType.init(inst, def);\n    const values = util.getEnumValues(def.entries);\n    inst._zod.values = new Set(values);\n    inst._zod.pattern = new RegExp(`^(${values\n        .filter((k) => util.propertyKeyTypes.has(typeof k))\n        .map((o) => (typeof o === \"string\" ? util.escapeRegex(o) : o.toString()))\n        .join(\"|\")})$`);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (inst._zod.values.has(input)) {\n            return payload;\n        }\n        payload.issues.push({\n            code: \"invalid_value\",\n            values,\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodLiteral = /*@__PURE__*/ core.$constructor(\"$ZodLiteral\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.values = new Set(def.values);\n    inst._zod.pattern = new RegExp(`^(${def.values\n        .map((o) => (typeof o === \"string\" ? util.escapeRegex(o) : o ? o.toString() : String(o)))\n        .join(\"|\")})$`);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (inst._zod.values.has(input)) {\n            return payload;\n        }\n        payload.issues.push({\n            code: \"invalid_value\",\n            values: def.values,\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodFile = /*@__PURE__*/ core.$constructor(\"$ZodFile\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        const input = payload.value;\n        if (input instanceof File)\n            return payload;\n        payload.issues.push({\n            expected: \"file\",\n            code: \"invalid_type\",\n            input,\n            inst,\n        });\n        return payload;\n    };\n});\nexport const $ZodTransform = /*@__PURE__*/ core.$constructor(\"$ZodTransform\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        const _out = def.transform(payload.value, payload);\n        if (_ctx.async) {\n            const output = _out instanceof Promise ? _out : Promise.resolve(_out);\n            return output.then((output) => {\n                payload.value = output;\n                return payload;\n            });\n        }\n        if (_out instanceof Promise) {\n            throw new core.$ZodAsyncError();\n        }\n        payload.value = _out;\n        return payload;\n    };\n});\nexport const $ZodOptional = /*@__PURE__*/ core.$constructor(\"$ZodOptional\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.optin = \"optional\";\n    inst._zod.optout = \"optional\";\n    util.defineLazy(inst._zod, \"values\", () => {\n        return def.innerType._zod.values ? new Set([...def.innerType._zod.values, undefined]) : undefined;\n    });\n    util.defineLazy(inst._zod, \"pattern\", () => {\n        const pattern = def.innerType._zod.pattern;\n        return pattern ? new RegExp(`^(${util.cleanRegex(pattern.source)})?$`) : undefined;\n    });\n    inst._zod.parse = (payload, ctx) => {\n        if (def.innerType._zod.optin === \"optional\") {\n            return def.innerType._zod.run(payload, ctx);\n        }\n        if (payload.value === undefined) {\n            return payload;\n        }\n        return def.innerType._zod.run(payload, ctx);\n    };\n});\nexport const $ZodNullable = /*@__PURE__*/ core.$constructor(\"$ZodNullable\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"optin\", () => def.innerType._zod.optin);\n    util.defineLazy(inst._zod, \"optout\", () => def.innerType._zod.optout);\n    util.defineLazy(inst._zod, \"pattern\", () => {\n        const pattern = def.innerType._zod.pattern;\n        return pattern ? new RegExp(`^(${util.cleanRegex(pattern.source)}|null)$`) : undefined;\n    });\n    util.defineLazy(inst._zod, \"values\", () => {\n        return def.innerType._zod.values ? new Set([...def.innerType._zod.values, null]) : undefined;\n    });\n    inst._zod.parse = (payload, ctx) => {\n        if (payload.value === null)\n            return payload;\n        return def.innerType._zod.run(payload, ctx);\n    };\n});\nexport const $ZodDefault = /*@__PURE__*/ core.$constructor(\"$ZodDefault\", (inst, def) => {\n    $ZodType.init(inst, def);\n    // inst._zod.qin = \"true\";\n    inst._zod.optin = \"optional\";\n    util.defineLazy(inst._zod, \"values\", () => def.innerType._zod.values);\n    inst._zod.parse = (payload, ctx) => {\n        if (payload.value === undefined) {\n            payload.value = def.defaultValue;\n            /**\n             * $ZodDefault always returns the default value immediately.\n             * It doesn't pass the default value into the validator (\"prefault\"). There's no reason to pass the default value through validation. The validity of the default is enforced by TypeScript statically. Otherwise, it's the responsibility of the user to ensure the default is valid. In the case of pipes with divergent in/out types, you can specify the default on the `in` schema of your ZodPipe to set a \"prefault\" for the pipe.   */\n            return payload;\n        }\n        const result = def.innerType._zod.run(payload, ctx);\n        if (result instanceof Promise) {\n            return result.then((result) => handleDefaultResult(result, def));\n        }\n        return handleDefaultResult(result, def);\n    };\n});\nfunction handleDefaultResult(payload, def) {\n    if (payload.value === undefined) {\n        payload.value = def.defaultValue;\n    }\n    return payload;\n}\nexport const $ZodPrefault = /*@__PURE__*/ core.$constructor(\"$ZodPrefault\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.optin = \"optional\";\n    util.defineLazy(inst._zod, \"values\", () => def.innerType._zod.values);\n    inst._zod.parse = (payload, ctx) => {\n        if (payload.value === undefined) {\n            payload.value = def.defaultValue;\n        }\n        return def.innerType._zod.run(payload, ctx);\n    };\n});\nexport const $ZodNonOptional = /*@__PURE__*/ core.$constructor(\"$ZodNonOptional\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"values\", () => {\n        const v = def.innerType._zod.values;\n        return v ? new Set([...v].filter((x) => x !== undefined)) : undefined;\n    });\n    inst._zod.parse = (payload, ctx) => {\n        const result = def.innerType._zod.run(payload, ctx);\n        if (result instanceof Promise) {\n            return result.then((result) => handleNonOptionalResult(result, inst));\n        }\n        return handleNonOptionalResult(result, inst);\n    };\n});\nfunction handleNonOptionalResult(payload, inst) {\n    if (!payload.issues.length && payload.value === undefined) {\n        payload.issues.push({\n            code: \"invalid_type\",\n            expected: \"nonoptional\",\n            input: payload.value,\n            inst,\n        });\n    }\n    return payload;\n}\nexport const $ZodSuccess = /*@__PURE__*/ core.$constructor(\"$ZodSuccess\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        const result = def.innerType._zod.run(payload, ctx);\n        if (result instanceof Promise) {\n            return result.then((result) => {\n                payload.value = result.issues.length === 0;\n                return payload;\n            });\n        }\n        payload.value = result.issues.length === 0;\n        return payload;\n    };\n});\nexport const $ZodCatch = /*@__PURE__*/ core.$constructor(\"$ZodCatch\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.optin = \"optional\";\n    util.defineLazy(inst._zod, \"optout\", () => def.innerType._zod.optout);\n    util.defineLazy(inst._zod, \"values\", () => def.innerType._zod.values);\n    inst._zod.parse = (payload, ctx) => {\n        const result = def.innerType._zod.run(payload, ctx);\n        if (result instanceof Promise) {\n            return result.then((result) => {\n                payload.value = result.value;\n                if (result.issues.length) {\n                    payload.value = def.catchValue({\n                        ...payload,\n                        error: {\n                            issues: result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())),\n                        },\n                        input: payload.value,\n                    });\n                    payload.issues = [];\n                }\n                return payload;\n            });\n        }\n        payload.value = result.value;\n        if (result.issues.length) {\n            payload.value = def.catchValue({\n                ...payload,\n                error: {\n                    issues: result.issues.map((iss) => util.finalizeIssue(iss, ctx, core.config())),\n                },\n                input: payload.value,\n            });\n            payload.issues = [];\n        }\n        return payload;\n    };\n});\nexport const $ZodNaN = /*@__PURE__*/ core.$constructor(\"$ZodNaN\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        if (typeof payload.value !== \"number\" || !Number.isNaN(payload.value)) {\n            payload.issues.push({\n                input: payload.value,\n                inst,\n                expected: \"nan\",\n                code: \"invalid_type\",\n            });\n            return payload;\n        }\n        return payload;\n    };\n});\nexport const $ZodPipe = /*@__PURE__*/ core.$constructor(\"$ZodPipe\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"values\", () => def.in._zod.values);\n    util.defineLazy(inst._zod, \"optin\", () => def.in._zod.optin);\n    util.defineLazy(inst._zod, \"optout\", () => def.out._zod.optout);\n    inst._zod.parse = (payload, ctx) => {\n        const left = def.in._zod.run(payload, ctx);\n        if (left instanceof Promise) {\n            return left.then((left) => handlePipeResult(left, def, ctx));\n        }\n        return handlePipeResult(left, def, ctx);\n    };\n});\nfunction handlePipeResult(left, def, ctx) {\n    if (util.aborted(left)) {\n        return left;\n    }\n    return def.out._zod.run({ value: left.value, issues: left.issues }, ctx);\n}\nexport const $ZodReadonly = /*@__PURE__*/ core.$constructor(\"$ZodReadonly\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"propValues\", () => def.innerType._zod.propValues);\n    util.defineLazy(inst._zod, \"values\", () => def.innerType._zod.values);\n    util.defineLazy(inst._zod, \"optin\", () => def.innerType._zod.optin);\n    util.defineLazy(inst._zod, \"optout\", () => def.innerType._zod.optout);\n    inst._zod.parse = (payload, ctx) => {\n        const result = def.innerType._zod.run(payload, ctx);\n        if (result instanceof Promise) {\n            return result.then(handleReadonlyResult);\n        }\n        return handleReadonlyResult(result);\n    };\n});\nfunction handleReadonlyResult(payload) {\n    payload.value = Object.freeze(payload.value);\n    return payload;\n}\nexport const $ZodTemplateLiteral = /*@__PURE__*/ core.$constructor(\"$ZodTemplateLiteral\", (inst, def) => {\n    $ZodType.init(inst, def);\n    const regexParts = [];\n    for (const part of def.parts) {\n        if (part instanceof $ZodType) {\n            if (!part._zod.pattern) {\n                // if (!source)\n                throw new Error(`Invalid template literal part, no pattern found: ${[...part._zod.traits].shift()}`);\n            }\n            const source = part._zod.pattern instanceof RegExp ? part._zod.pattern.source : part._zod.pattern;\n            if (!source)\n                throw new Error(`Invalid template literal part: ${part._zod.traits}`);\n            const start = source.startsWith(\"^\") ? 1 : 0;\n            const end = source.endsWith(\"$\") ? source.length - 1 : source.length;\n            regexParts.push(source.slice(start, end));\n        }\n        else if (part === null || util.primitiveTypes.has(typeof part)) {\n            regexParts.push(util.escapeRegex(`${part}`));\n        }\n        else {\n            throw new Error(`Invalid template literal part: ${part}`);\n        }\n    }\n    inst._zod.pattern = new RegExp(`^${regexParts.join(\"\")}$`);\n    inst._zod.parse = (payload, _ctx) => {\n        if (typeof payload.value !== \"string\") {\n            payload.issues.push({\n                input: payload.value,\n                inst,\n                expected: \"template_literal\",\n                code: \"invalid_type\",\n            });\n            return payload;\n        }\n        inst._zod.pattern.lastIndex = 0;\n        if (!inst._zod.pattern.test(payload.value)) {\n            payload.issues.push({\n                input: payload.value,\n                inst,\n                code: \"invalid_format\",\n                format: \"template_literal\",\n                pattern: inst._zod.pattern.source,\n            });\n            return payload;\n        }\n        return payload;\n    };\n});\nexport const $ZodPromise = /*@__PURE__*/ core.$constructor(\"$ZodPromise\", (inst, def) => {\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, ctx) => {\n        return Promise.resolve(payload.value).then((inner) => def.innerType._zod.run({ value: inner, issues: [] }, ctx));\n    };\n});\nexport const $ZodLazy = /*@__PURE__*/ core.$constructor(\"$ZodLazy\", (inst, def) => {\n    $ZodType.init(inst, def);\n    util.defineLazy(inst._zod, \"innerType\", () => def.getter());\n    util.defineLazy(inst._zod, \"pattern\", () => inst._zod.innerType._zod.pattern);\n    util.defineLazy(inst._zod, \"propValues\", () => inst._zod.innerType._zod.propValues);\n    util.defineLazy(inst._zod, \"optin\", () => inst._zod.innerType._zod.optin);\n    util.defineLazy(inst._zod, \"optout\", () => inst._zod.innerType._zod.optout);\n    inst._zod.parse = (payload, ctx) => {\n        const inner = inst._zod.innerType;\n        return inner._zod.run(payload, ctx);\n    };\n});\nexport const $ZodCustom = /*@__PURE__*/ core.$constructor(\"$ZodCustom\", (inst, def) => {\n    checks.$ZodCheck.init(inst, def);\n    $ZodType.init(inst, def);\n    inst._zod.parse = (payload, _) => {\n        return payload;\n    };\n    inst._zod.check = (payload) => {\n        const input = payload.value;\n        const r = def.fn(input);\n        if (r instanceof Promise) {\n            return r.then((r) => handleRefineResult(r, payload, input, inst));\n        }\n        handleRefineResult(r, payload, input, inst);\n        return;\n    };\n});\nfunction handleRefineResult(result, payload, input, inst) {\n    if (!result) {\n        const _iss = {\n            code: \"custom\",\n            input,\n            inst, // incorporates params.error into issue reporting\n            path: [...(inst._zod.def.path ?? [])], // incorporates params.error into issue reporting\n            continue: !inst._zod.def.abort,\n            // params: inst._zod.def.params,\n        };\n        if (inst._zod.def.params)\n            _iss.params = inst._zod.def.params;\n        payload.issues.push(util.issue(_iss));\n    }\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u062D\u0631\u0641\", verb: \"\u0623\u0646 \u064A\u062D\u0648\u064A\" },\n        file: { unit: \"\u0628\u0627\u064A\u062A\", verb: \"\u0623\u0646 \u064A\u062D\u0648\u064A\" },\n        array: { unit: \"\u0639\u0646\u0635\u0631\", verb: \"\u0623\u0646 \u064A\u062D\u0648\u064A\" },\n        set: { unit: \"\u0639\u0646\u0635\u0631\", verb: \"\u0623\u0646 \u064A\u062D\u0648\u064A\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0645\u062F\u062E\u0644\",\n        email: \"\u0628\u0631\u064A\u062F \u0625\u0644\u0643\u062A\u0631\u0648\u0646\u064A\",\n        url: \"\u0631\u0627\u0628\u0637\",\n        emoji: \"\u0625\u064A\u0645\u0648\u062C\u064A\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u062A\u0627\u0631\u064A\u062E \u0648\u0648\u0642\u062A \u0628\u0645\u0639\u064A\u0627\u0631 ISO\",\n        date: \"\u062A\u0627\u0631\u064A\u062E \u0628\u0645\u0639\u064A\u0627\u0631 ISO\",\n        time: \"\u0648\u0642\u062A \u0628\u0645\u0639\u064A\u0627\u0631 ISO\",\n        duration: \"\u0645\u062F\u0629 \u0628\u0645\u0639\u064A\u0627\u0631 ISO\",\n        ipv4: \"\u0639\u0646\u0648\u0627\u0646 IPv4\",\n        ipv6: \"\u0639\u0646\u0648\u0627\u0646 IPv6\",\n        cidrv4: \"\u0645\u062F\u0649 \u0639\u0646\u0627\u0648\u064A\u0646 \u0628\u0635\u064A\u063A\u0629 IPv4\",\n        cidrv6: \"\u0645\u062F\u0649 \u0639\u0646\u0627\u0648\u064A\u0646 \u0628\u0635\u064A\u063A\u0629 IPv6\",\n        base64: \"\u0646\u064E\u0635 \u0628\u062A\u0631\u0645\u064A\u0632 base64-encoded\",\n        base64url: \"\u0646\u064E\u0635 \u0628\u062A\u0631\u0645\u064A\u0632 base64url-encoded\",\n        json_string: \"\u0646\u064E\u0635 \u0639\u0644\u0649 \u0647\u064A\u0626\u0629 JSON\",\n        e164: \"\u0631\u0642\u0645 \u0647\u0627\u062A\u0641 \u0628\u0645\u0639\u064A\u0627\u0631 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u0645\u062F\u062E\u0644\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0645\u062F\u062E\u0644\u0627\u062A \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644\u0629: \u064A\u0641\u062A\u0631\u0636 \u0625\u062F\u062E\u0627\u0644 ${issue.expected}\u060C \u0648\u0644\u0643\u0646 \u062A\u0645 \u0625\u062F\u062E\u0627\u0644 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u0645\u062F\u062E\u0644\u0627\u062A \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644\u0629: \u064A\u0641\u062A\u0631\u0636 \u0625\u062F\u062E\u0627\u0644 ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u0627\u062E\u062A\u064A\u0627\u0631 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062A\u0648\u0642\u0639 \u0627\u0646\u062A\u0642\u0627\u0621 \u0623\u062D\u062F \u0647\u0630\u0647 \u0627\u0644\u062E\u064A\u0627\u0631\u0627\u062A: ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return ` \u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u0644\u0644\u0627\u0632\u0645: \u064A\u0641\u062A\u0631\u0636 \u0623\u0646 \u062A\u0643\u0648\u0646 ${issue.origin ?? \"\u0627\u0644\u0642\u064A\u0645\u0629\"} ${adj} ${issue.maximum.toString()} ${sizing.unit ?? \"\u0639\u0646\u0635\u0631\"}`;\n                return `\u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u0644\u0644\u0627\u0632\u0645: \u064A\u0641\u062A\u0631\u0636 \u0623\u0646 \u062A\u0643\u0648\u0646 ${issue.origin ?? \"\u0627\u0644\u0642\u064A\u0645\u0629\"} ${adj} ${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0623\u0635\u063A\u0631 \u0645\u0646 \u0627\u0644\u0644\u0627\u0632\u0645: \u064A\u0641\u062A\u0631\u0636 \u0644\u0640 ${issue.origin} \u0623\u0646 \u064A\u0643\u0648\u0646 ${adj} ${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u0623\u0635\u063A\u0631 \u0645\u0646 \u0627\u0644\u0644\u0627\u0632\u0645: \u064A\u0641\u062A\u0631\u0636 \u0644\u0640 ${issue.origin} \u0623\u0646 \u064A\u0643\u0648\u0646 ${adj} ${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u0646\u064E\u0635 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062C\u0628 \u0623\u0646 \u064A\u0628\u062F\u0623 \u0628\u0640 \"${issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `\u0646\u064E\u0635 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062C\u0628 \u0623\u0646 \u064A\u0646\u062A\u0647\u064A \u0628\u0640 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u0646\u064E\u0635 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062C\u0628 \u0623\u0646 \u064A\u062A\u0636\u0645\u0651\u064E\u0646 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u0646\u064E\u0635 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062C\u0628 \u0623\u0646 \u064A\u0637\u0627\u0628\u0642 \u0627\u0644\u0646\u0645\u0637 ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644`;\n            }\n            case \"not_multiple_of\":\n                return `\u0631\u0642\u0645 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644: \u064A\u062C\u0628 \u0623\u0646 \u064A\u0643\u0648\u0646 \u0645\u0646 \u0645\u0636\u0627\u0639\u0641\u0627\u062A ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u0645\u0639\u0631\u0641${issue.keys.length > 1 ? \"\u0627\u062A\" : \"\"} \u063A\u0631\u064A\u0628${issue.keys.length > 1 ? \"\u0629\" : \"\"}: ${util.joinValues(issue.keys, \"\u060C \")}`;\n            case \"invalid_key\":\n                return `\u0645\u0639\u0631\u0641 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644 \u0641\u064A ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u0645\u062F\u062E\u0644 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644\";\n            case \"invalid_element\":\n                return `\u0645\u062F\u062E\u0644 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644 \u0641\u064A ${issue.origin}`;\n            default:\n                return \"\u0645\u062F\u062E\u0644 \u063A\u064A\u0631 \u0645\u0642\u0628\u0648\u0644\";\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"simvol\", verb: \"olmal\u0131d\u0131r\" },\n        file: { unit: \"bayt\", verb: \"olmal\u0131d\u0131r\" },\n        array: { unit: \"element\", verb: \"olmal\u0131d\u0131r\" },\n        set: { unit: \"element\", verb: \"olmal\u0131d\u0131r\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"input\",\n        email: \"email address\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO datetime\",\n        date: \"ISO date\",\n        time: \"ISO time\",\n        duration: \"ISO duration\",\n        ipv4: \"IPv4 address\",\n        ipv6: \"IPv6 address\",\n        cidrv4: \"IPv4 range\",\n        cidrv6: \"IPv6 range\",\n        base64: \"base64-encoded string\",\n        base64url: \"base64url-encoded string\",\n        json_string: \"JSON string\",\n        e164: \"E.164 number\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Yanl\u0131\u015F d\u0259y\u0259r: g\u00F6zl\u0259nil\u0259n ${issue.expected}, daxil olan ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Yanl\u0131\u015F d\u0259y\u0259r: g\u00F6zl\u0259nil\u0259n ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Yanl\u0131\u015F se\u00E7im: a\u015Fa\u011F\u0131dak\u0131lardan biri olmal\u0131d\u0131r: ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u00C7ox b\u00F6y\u00FCk: g\u00F6zl\u0259nil\u0259n ${issue.origin ?? \"d\u0259y\u0259r\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"element\"}`;\n                return `\u00C7ox b\u00F6y\u00FCk: g\u00F6zl\u0259nil\u0259n ${issue.origin ?? \"d\u0259y\u0259r\"} ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u00C7ox ki\u00E7ik: g\u00F6zl\u0259nil\u0259n ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                return `\u00C7ox ki\u00E7ik: g\u00F6zl\u0259nil\u0259n ${issue.origin} ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Yanl\u0131\u015F m\u0259tn: \"${_issue.prefix}\" il\u0259 ba\u015Flamal\u0131d\u0131r`;\n                if (_issue.format === \"ends_with\")\n                    return `Yanl\u0131\u015F m\u0259tn: \"${_issue.suffix}\" il\u0259 bitm\u0259lidir`;\n                if (_issue.format === \"includes\")\n                    return `Yanl\u0131\u015F m\u0259tn: \"${_issue.includes}\" daxil olmal\u0131d\u0131r`;\n                if (_issue.format === \"regex\")\n                    return `Yanl\u0131\u015F m\u0259tn: ${_issue.pattern} \u015Fablonuna uy\u011Fun olmal\u0131d\u0131r`;\n                return `Yanl\u0131\u015F ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Yanl\u0131\u015F \u0259d\u0259d: ${issue.divisor} il\u0259 b\u00F6l\u00FCn\u0259 bil\u0259n olmal\u0131d\u0131r`;\n            case \"unrecognized_keys\":\n                return `Tan\u0131nmayan a\u00E7ar${issue.keys.length > 1 ? \"lar\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} daxilind\u0259 yanl\u0131\u015F a\u00E7ar`;\n            case \"invalid_union\":\n                return \"Yanl\u0131\u015F d\u0259y\u0259r\";\n            case \"invalid_element\":\n                return `${issue.origin} daxilind\u0259 yanl\u0131\u015F d\u0259y\u0259r`;\n            default:\n                return `Yanl\u0131\u015F d\u0259y\u0259r`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nfunction getBelarusianPlural(count, one, few, many) {\n    const absCount = Math.abs(count);\n    const lastDigit = absCount % 10;\n    const lastTwoDigits = absCount % 100;\n    if (lastTwoDigits >= 11 && lastTwoDigits <= 19) {\n        return many;\n    }\n    if (lastDigit === 1) {\n        return one;\n    }\n    if (lastDigit >= 2 && lastDigit <= 4) {\n        return few;\n    }\n    return many;\n}\nconst error = () => {\n    const Sizable = {\n        string: {\n            unit: {\n                one: \"\u0441\u0456\u043C\u0432\u0430\u043B\",\n                few: \"\u0441\u0456\u043C\u0432\u0430\u043B\u044B\",\n                many: \"\u0441\u0456\u043C\u0432\u0430\u043B\u0430\u045E\",\n            },\n            verb: \"\u043C\u0435\u0446\u044C\",\n        },\n        array: {\n            unit: {\n                one: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\",\n                few: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u044B\",\n                many: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\u045E\",\n            },\n            verb: \"\u043C\u0435\u0446\u044C\",\n        },\n        set: {\n            unit: {\n                one: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\",\n                few: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u044B\",\n                many: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\u045E\",\n            },\n            verb: \"\u043C\u0435\u0446\u044C\",\n        },\n        file: {\n            unit: {\n                one: \"\u0431\u0430\u0439\u0442\",\n                few: \"\u0431\u0430\u0439\u0442\u044B\",\n                many: \"\u0431\u0430\u0439\u0442\u0430\u045E\",\n            },\n            verb: \"\u043C\u0435\u0446\u044C\",\n        },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u043B\u0456\u043A\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u043C\u0430\u0441\u0456\u045E\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0443\u0432\u043E\u0434\",\n        email: \"email \u0430\u0434\u0440\u0430\u0441\",\n        url: \"URL\",\n        emoji: \"\u044D\u043C\u043E\u0434\u0437\u0456\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \u0434\u0430\u0442\u0430 \u0456 \u0447\u0430\u0441\",\n        date: \"ISO \u0434\u0430\u0442\u0430\",\n        time: \"ISO \u0447\u0430\u0441\",\n        duration: \"ISO \u043F\u0440\u0430\u0446\u044F\u0433\u043B\u0430\u0441\u0446\u044C\",\n        ipv4: \"IPv4 \u0430\u0434\u0440\u0430\u0441\",\n        ipv6: \"IPv6 \u0430\u0434\u0440\u0430\u0441\",\n        cidrv4: \"IPv4 \u0434\u044B\u044F\u043F\u0430\u0437\u043E\u043D\",\n        cidrv6: \"IPv6 \u0434\u044B\u044F\u043F\u0430\u0437\u043E\u043D\",\n        base64: \"\u0440\u0430\u0434\u043E\u043A \u0443 \u0444\u0430\u0440\u043C\u0430\u0446\u0435 base64\",\n        base64url: \"\u0440\u0430\u0434\u043E\u043A \u0443 \u0444\u0430\u0440\u043C\u0430\u0446\u0435 base64url\",\n        json_string: \"JSON \u0440\u0430\u0434\u043E\u043A\",\n        e164: \"\u043D\u0443\u043C\u0430\u0440 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u0443\u0432\u043E\u0434\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u045E\u0432\u043E\u0434: \u0447\u0430\u043A\u0430\u045E\u0441\u044F ${issue.expected}, \u0430\u0442\u0440\u044B\u043C\u0430\u043D\u0430 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u045E\u0432\u043E\u0434: \u0447\u0430\u043A\u0430\u043B\u0430\u0441\u044F ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u0432\u0430\u0440\u044B\u044F\u043D\u0442: \u0447\u0430\u043A\u0430\u045E\u0441\u044F \u0430\u0434\u0437\u0456\u043D \u0437 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    const maxValue = Number(issue.maximum);\n                    const unit = getBelarusianPlural(maxValue, sizing.unit.one, sizing.unit.few, sizing.unit.many);\n                    return `\u0417\u0430\u043D\u0430\u0434\u0442\u0430 \u0432\u044F\u043B\u0456\u043A\u0456: \u0447\u0430\u043A\u0430\u043B\u0430\u0441\u044F, \u0448\u0442\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u044D\u043D\u043D\u0435\"} \u043F\u0430\u0432\u0456\u043D\u043D\u0430 ${sizing.verb} ${adj}${issue.maximum.toString()} ${unit}`;\n                }\n                return `\u0417\u0430\u043D\u0430\u0434\u0442\u0430 \u0432\u044F\u043B\u0456\u043A\u0456: \u0447\u0430\u043A\u0430\u043B\u0430\u0441\u044F, \u0448\u0442\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u044D\u043D\u043D\u0435\"} \u043F\u0430\u0432\u0456\u043D\u043D\u0430 \u0431\u044B\u0446\u044C ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    const minValue = Number(issue.minimum);\n                    const unit = getBelarusianPlural(minValue, sizing.unit.one, sizing.unit.few, sizing.unit.many);\n                    return `\u0417\u0430\u043D\u0430\u0434\u0442\u0430 \u043C\u0430\u043B\u044B: \u0447\u0430\u043A\u0430\u043B\u0430\u0441\u044F, \u0448\u0442\u043E ${issue.origin} \u043F\u0430\u0432\u0456\u043D\u043D\u0430 ${sizing.verb} ${adj}${issue.minimum.toString()} ${unit}`;\n                }\n                return `\u0417\u0430\u043D\u0430\u0434\u0442\u0430 \u043C\u0430\u043B\u044B: \u0447\u0430\u043A\u0430\u043B\u0430\u0441\u044F, \u0448\u0442\u043E ${issue.origin} \u043F\u0430\u0432\u0456\u043D\u043D\u0430 \u0431\u044B\u0446\u044C ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u0440\u0430\u0434\u043E\u043A: \u043F\u0430\u0432\u0456\u043D\u0435\u043D \u043F\u0430\u0447\u044B\u043D\u0430\u0446\u0446\u0430 \u0437 \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u0440\u0430\u0434\u043E\u043A: \u043F\u0430\u0432\u0456\u043D\u0435\u043D \u0437\u0430\u043A\u0430\u043D\u0447\u0432\u0430\u0446\u0446\u0430 \u043D\u0430 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u0440\u0430\u0434\u043E\u043A: \u043F\u0430\u0432\u0456\u043D\u0435\u043D \u0437\u043C\u044F\u0448\u0447\u0430\u0446\u044C \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u0440\u0430\u0434\u043E\u043A: \u043F\u0430\u0432\u0456\u043D\u0435\u043D \u0430\u0434\u043F\u0430\u0432\u044F\u0434\u0430\u0446\u044C \u0448\u0430\u0431\u043B\u043E\u043D\u0443 ${_issue.pattern}`;\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u043B\u0456\u043A: \u043F\u0430\u0432\u0456\u043D\u0435\u043D \u0431\u044B\u0446\u044C \u043A\u0440\u0430\u0442\u043D\u044B\u043C ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u041D\u0435\u0440\u0430\u0441\u043F\u0430\u0437\u043D\u0430\u043D\u044B ${issue.keys.length > 1 ? \"\u043A\u043B\u044E\u0447\u044B\" : \"\u043A\u043B\u044E\u0447\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u043A\u043B\u044E\u0447 \u0443 ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u045E\u0432\u043E\u0434\";\n            case \"invalid_element\":\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u0430\u0435 \u0437\u043D\u0430\u0447\u044D\u043D\u043D\u0435 \u045E ${issue.origin}`;\n            default:\n                return `\u041D\u044F\u043F\u0440\u0430\u0432\u0456\u043B\u044C\u043D\u044B \u045E\u0432\u043E\u0434`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"car\u00E0cters\", verb: \"contenir\" },\n        file: { unit: \"bytes\", verb: \"contenir\" },\n        array: { unit: \"elements\", verb: \"contenir\" },\n        set: { unit: \"elements\", verb: \"contenir\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"entrada\",\n        email: \"adre\u00E7a electr\u00F2nica\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"data i hora ISO\",\n        date: \"data ISO\",\n        time: \"hora ISO\",\n        duration: \"durada ISO\",\n        ipv4: \"adre\u00E7a IPv4\",\n        ipv6: \"adre\u00E7a IPv6\",\n        cidrv4: \"rang IPv4\",\n        cidrv6: \"rang IPv6\",\n        base64: \"cadena codificada en base64\",\n        base64url: \"cadena codificada en base64url\",\n        json_string: \"cadena JSON\",\n        e164: \"n\u00FAmero E.164\",\n        jwt: \"JWT\",\n        template_literal: \"entrada\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Tipus inv\u00E0lid: s'esperava ${issue.expected}, s'ha rebut ${parsedType(issue.input)}`;\n            // return `Tipus inv\u00E0lid: s'esperava ${issue.expected}, s'ha rebut ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Valor inv\u00E0lid: s'esperava ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Opci\u00F3 inv\u00E0lida: s'esperava una de ${util.joinValues(issue.values, \" o \")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"com a m\u00E0xim\" : \"menys de\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Massa gran: s'esperava que ${issue.origin ?? \"el valor\"} contingu\u00E9s ${adj} ${issue.maximum.toString()} ${sizing.unit ?? \"elements\"}`;\n                return `Massa gran: s'esperava que ${issue.origin ?? \"el valor\"} fos ${adj} ${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \"com a m\u00EDnim\" : \"m\u00E9s de\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Massa petit: s'esperava que ${issue.origin} contingu\u00E9s ${adj} ${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Massa petit: s'esperava que ${issue.origin} fos ${adj} ${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Format inv\u00E0lid: ha de comen\u00E7ar amb \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Format inv\u00E0lid: ha d'acabar amb \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Format inv\u00E0lid: ha d'incloure \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Format inv\u00E0lid: ha de coincidir amb el patr\u00F3 ${_issue.pattern}`;\n                return `Format inv\u00E0lid per a ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `N\u00FAmero inv\u00E0lid: ha de ser m\u00FAltiple de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Clau${issue.keys.length > 1 ? \"s\" : \"\"} no reconeguda${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Clau inv\u00E0lida a ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Entrada inv\u00E0lida\"; // Could also be \"Tipus d'uni\u00F3 inv\u00E0lid\" but \"Entrada inv\u00E0lida\" is more general\n            case \"invalid_element\":\n                return `Element inv\u00E0lid a ${issue.origin}`;\n            default:\n                return `Entrada inv\u00E0lida`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"znak\u016F\", verb: \"m\u00EDt\" },\n        file: { unit: \"bajt\u016F\", verb: \"m\u00EDt\" },\n        array: { unit: \"prvk\u016F\", verb: \"m\u00EDt\" },\n        set: { unit: \"prvk\u016F\", verb: \"m\u00EDt\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u010D\u00EDslo\";\n            }\n            case \"string\": {\n                return \"\u0159et\u011Bzec\";\n            }\n            case \"boolean\": {\n                return \"boolean\";\n            }\n            case \"bigint\": {\n                return \"bigint\";\n            }\n            case \"function\": {\n                return \"funkce\";\n            }\n            case \"symbol\": {\n                return \"symbol\";\n            }\n            case \"undefined\": {\n                return \"undefined\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"pole\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"regul\u00E1rn\u00ED v\u00FDraz\",\n        email: \"e-mailov\u00E1 adresa\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"datum a \u010Das ve form\u00E1tu ISO\",\n        date: \"datum ve form\u00E1tu ISO\",\n        time: \"\u010Das ve form\u00E1tu ISO\",\n        duration: \"doba trv\u00E1n\u00ED ISO\",\n        ipv4: \"IPv4 adresa\",\n        ipv6: \"IPv6 adresa\",\n        cidrv4: \"rozsah IPv4\",\n        cidrv6: \"rozsah IPv6\",\n        base64: \"\u0159et\u011Bzec zak\u00F3dovan\u00FD ve form\u00E1tu base64\",\n        base64url: \"\u0159et\u011Bzec zak\u00F3dovan\u00FD ve form\u00E1tu base64url\",\n        json_string: \"\u0159et\u011Bzec ve form\u00E1tu JSON\",\n        e164: \"\u010D\u00EDslo E.164\",\n        jwt: \"JWT\",\n        template_literal: \"vstup\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Neplatn\u00FD vstup: o\u010Dek\u00E1v\u00E1no ${issue.expected}, obdr\u017Eeno ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Neplatn\u00FD vstup: o\u010Dek\u00E1v\u00E1no ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Neplatn\u00E1 mo\u017Enost: o\u010Dek\u00E1v\u00E1na jedna z hodnot ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Hodnota je p\u0159\u00EDli\u0161 velk\u00E1: ${issue.origin ?? \"hodnota\"} mus\u00ED m\u00EDt ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"prvk\u016F\"}`;\n                }\n                return `Hodnota je p\u0159\u00EDli\u0161 velk\u00E1: ${issue.origin ?? \"hodnota\"} mus\u00ED b\u00FDt ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Hodnota je p\u0159\u00EDli\u0161 mal\u00E1: ${issue.origin ?? \"hodnota\"} mus\u00ED m\u00EDt ${adj}${issue.minimum.toString()} ${sizing.unit ?? \"prvk\u016F\"}`;\n                }\n                return `Hodnota je p\u0159\u00EDli\u0161 mal\u00E1: ${issue.origin ?? \"hodnota\"} mus\u00ED b\u00FDt ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Neplatn\u00FD \u0159et\u011Bzec: mus\u00ED za\u010D\u00EDnat na \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Neplatn\u00FD \u0159et\u011Bzec: mus\u00ED kon\u010Dit na \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Neplatn\u00FD \u0159et\u011Bzec: mus\u00ED obsahovat \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Neplatn\u00FD \u0159et\u011Bzec: mus\u00ED odpov\u00EDdat vzoru ${_issue.pattern}`;\n                return `Neplatn\u00FD form\u00E1t ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Neplatn\u00E9 \u010D\u00EDslo: mus\u00ED b\u00FDt n\u00E1sobkem ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Nezn\u00E1m\u00E9 kl\u00ED\u010De: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Neplatn\u00FD kl\u00ED\u010D v ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Neplatn\u00FD vstup\";\n            case \"invalid_element\":\n                return `Neplatn\u00E1 hodnota v ${issue.origin}`;\n            default:\n                return `Neplatn\u00FD vstup`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"Zeichen\", verb: \"zu haben\" },\n        file: { unit: \"Bytes\", verb: \"zu haben\" },\n        array: { unit: \"Elemente\", verb: \"zu haben\" },\n        set: { unit: \"Elemente\", verb: \"zu haben\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"Zahl\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"Array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"Eingabe\",\n        email: \"E-Mail-Adresse\",\n        url: \"URL\",\n        emoji: \"Emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO-Datum und -Uhrzeit\",\n        date: \"ISO-Datum\",\n        time: \"ISO-Uhrzeit\",\n        duration: \"ISO-Dauer\",\n        ipv4: \"IPv4-Adresse\",\n        ipv6: \"IPv6-Adresse\",\n        cidrv4: \"IPv4-Bereich\",\n        cidrv6: \"IPv6-Bereich\",\n        base64: \"Base64-codierter String\",\n        base64url: \"Base64-URL-codierter String\",\n        json_string: \"JSON-String\",\n        e164: \"E.164-Nummer\",\n        jwt: \"JWT\",\n        template_literal: \"Eingabe\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Ung\u00FCltige Eingabe: erwartet ${issue.expected}, erhalten ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Ung\u00FCltige Eingabe: erwartet ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Ung\u00FCltige Option: erwartet eine von ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Zu gro\u00DF: erwartet, dass ${issue.origin ?? \"Wert\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"Elemente\"} hat`;\n                return `Zu gro\u00DF: erwartet, dass ${issue.origin ?? \"Wert\"} ${adj}${issue.maximum.toString()} ist`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Zu klein: erwartet, dass ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit} hat`;\n                }\n                return `Zu klein: erwartet, dass ${issue.origin} ${adj}${issue.minimum.toString()} ist`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Ung\u00FCltiger String: muss mit \"${_issue.prefix}\" beginnen`;\n                if (_issue.format === \"ends_with\")\n                    return `Ung\u00FCltiger String: muss mit \"${_issue.suffix}\" enden`;\n                if (_issue.format === \"includes\")\n                    return `Ung\u00FCltiger String: muss \"${_issue.includes}\" enthalten`;\n                if (_issue.format === \"regex\")\n                    return `Ung\u00FCltiger String: muss dem Muster ${_issue.pattern} entsprechen`;\n                return `Ung\u00FCltig: ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Ung\u00FCltige Zahl: muss ein Vielfaches von ${issue.divisor} sein`;\n            case \"unrecognized_keys\":\n                return `${issue.keys.length > 1 ? \"Unbekannte Schl\u00FCssel\" : \"Unbekannter Schl\u00FCssel\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Ung\u00FCltiger Schl\u00FCssel in ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Ung\u00FCltige Eingabe\";\n            case \"invalid_element\":\n                return `Ung\u00FCltiger Wert in ${issue.origin}`;\n            default:\n                return `Ung\u00FCltige Eingabe`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nexport const parsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"number\": {\n            return Number.isNaN(data) ? \"NaN\" : \"number\";\n        }\n        case \"object\": {\n            if (Array.isArray(data)) {\n                return \"array\";\n            }\n            if (data === null) {\n                return \"null\";\n            }\n            if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                return data.constructor.name;\n            }\n        }\n    }\n    return t;\n};\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"characters\", verb: \"to have\" },\n        file: { unit: \"bytes\", verb: \"to have\" },\n        array: { unit: \"items\", verb: \"to have\" },\n        set: { unit: \"items\", verb: \"to have\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const Nouns = {\n        regex: \"input\",\n        email: \"email address\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO datetime\",\n        date: \"ISO date\",\n        time: \"ISO time\",\n        duration: \"ISO duration\",\n        ipv4: \"IPv4 address\",\n        ipv6: \"IPv6 address\",\n        cidrv4: \"IPv4 range\",\n        cidrv6: \"IPv6 range\",\n        base64: \"base64-encoded string\",\n        base64url: \"base64url-encoded string\",\n        json_string: \"JSON string\",\n        e164: \"E.164 number\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Invalid input: expected ${issue.expected}, received ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Invalid input: expected ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Invalid option: expected one of ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Too big: expected ${issue.origin ?? \"value\"} to have ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elements\"}`;\n                return `Too big: expected ${issue.origin ?? \"value\"} to be ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Too small: expected ${issue.origin} to have ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Too small: expected ${issue.origin} to be ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Invalid string: must start with \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Invalid string: must end with \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Invalid string: must include \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Invalid string: must match pattern ${_issue.pattern}`;\n                return `Invalid ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Invalid number: must be a multiple of ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Unrecognized key${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Invalid key in ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Invalid input\";\n            case \"invalid_element\":\n                return `Invalid value in ${issue.origin}`;\n            default:\n                return `Invalid input`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nexport const parsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"number\": {\n            return Number.isNaN(data) ? \"NaN\" : \"nombro\";\n        }\n        case \"object\": {\n            if (Array.isArray(data)) {\n                return \"tabelo\";\n            }\n            if (data === null) {\n                return \"senvalora\";\n            }\n            if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                return data.constructor.name;\n            }\n        }\n    }\n    return t;\n};\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"karaktrojn\", verb: \"havi\" },\n        file: { unit: \"bajtojn\", verb: \"havi\" },\n        array: { unit: \"elementojn\", verb: \"havi\" },\n        set: { unit: \"elementojn\", verb: \"havi\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const Nouns = {\n        regex: \"enigo\",\n        email: \"retadreso\",\n        url: \"URL\",\n        emoji: \"emo\u011Dio\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO-datotempo\",\n        date: \"ISO-dato\",\n        time: \"ISO-tempo\",\n        duration: \"ISO-da\u016Dro\",\n        ipv4: \"IPv4-adreso\",\n        ipv6: \"IPv6-adreso\",\n        cidrv4: \"IPv4-rango\",\n        cidrv6: \"IPv6-rango\",\n        base64: \"64-ume kodita karaktraro\",\n        base64url: \"URL-64-ume kodita karaktraro\",\n        json_string: \"JSON-karaktraro\",\n        e164: \"E.164-nombro\",\n        jwt: \"JWT\",\n        template_literal: \"enigo\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Nevalida enigo: atendi\u011Dis ${issue.expected}, ricevi\u011Dis ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Nevalida enigo: atendi\u011Dis ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Nevalida opcio: atendi\u011Dis unu el ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Tro granda: atendi\u011Dis ke ${issue.origin ?? \"valoro\"} havu ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementojn\"}`;\n                return `Tro granda: atendi\u011Dis ke ${issue.origin ?? \"valoro\"} havu ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Tro malgranda: atendi\u011Dis ke ${issue.origin} havu ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Tro malgranda: atendi\u011Dis ke ${issue.origin} estu ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Nevalida karaktraro: devas komenci\u011Di per \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Nevalida karaktraro: devas fini\u011Di per \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Nevalida karaktraro: devas inkluzivi \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Nevalida karaktraro: devas kongrui kun la modelo ${_issue.pattern}`;\n                return `Nevalida ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Nevalida nombro: devas esti oblo de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Nekonata${issue.keys.length > 1 ? \"j\" : \"\"} \u015Dlosilo${issue.keys.length > 1 ? \"j\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Nevalida \u015Dlosilo en ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Nevalida enigo\";\n            case \"invalid_element\":\n                return `Nevalida valoro en ${issue.origin}`;\n            default:\n                return `Nevalida enigo`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"caracteres\", verb: \"tener\" },\n        file: { unit: \"bytes\", verb: \"tener\" },\n        array: { unit: \"elementos\", verb: \"tener\" },\n        set: { unit: \"elementos\", verb: \"tener\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"n\u00FAmero\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"arreglo\";\n                }\n                if (data === null) {\n                    return \"nulo\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"entrada\",\n        email: \"direcci\u00F3n de correo electr\u00F3nico\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"fecha y hora ISO\",\n        date: \"fecha ISO\",\n        time: \"hora ISO\",\n        duration: \"duraci\u00F3n ISO\",\n        ipv4: \"direcci\u00F3n IPv4\",\n        ipv6: \"direcci\u00F3n IPv6\",\n        cidrv4: \"rango IPv4\",\n        cidrv6: \"rango IPv6\",\n        base64: \"cadena codificada en base64\",\n        base64url: \"URL codificada en base64\",\n        json_string: \"cadena JSON\",\n        e164: \"n\u00FAmero E.164\",\n        jwt: \"JWT\",\n        template_literal: \"entrada\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Entrada inv\u00E1lida: se esperaba ${issue.expected}, recibido ${parsedType(issue.input)}`;\n            // return `Entrada inv\u00E1lida: se esperaba ${issue.expected}, recibido ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Entrada inv\u00E1lida: se esperaba ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Opci\u00F3n inv\u00E1lida: se esperaba una de ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Demasiado grande: se esperaba que ${issue.origin ?? \"valor\"} tuviera ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementos\"}`;\n                return `Demasiado grande: se esperaba que ${issue.origin ?? \"valor\"} fuera ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Demasiado peque\u00F1o: se esperaba que ${issue.origin} tuviera ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Demasiado peque\u00F1o: se esperaba que ${issue.origin} fuera ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Cadena inv\u00E1lida: debe comenzar con \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Cadena inv\u00E1lida: debe terminar en \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Cadena inv\u00E1lida: debe incluir \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Cadena inv\u00E1lida: debe coincidir con el patr\u00F3n ${_issue.pattern}`;\n                return `Inv\u00E1lido ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `N\u00FAmero inv\u00E1lido: debe ser m\u00FAltiplo de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Llave${issue.keys.length > 1 ? \"s\" : \"\"} desconocida${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Llave inv\u00E1lida en ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Entrada inv\u00E1lida\";\n            case \"invalid_element\":\n                return `Valor inv\u00E1lido en ${issue.origin}`;\n            default:\n                return `Entrada inv\u00E1lida`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u06A9\u0627\u0631\u0627\u06A9\u062A\u0631\", verb: \"\u062F\u0627\u0634\u062A\u0647 \u0628\u0627\u0634\u062F\" },\n        file: { unit: \"\u0628\u0627\u06CC\u062A\", verb: \"\u062F\u0627\u0634\u062A\u0647 \u0628\u0627\u0634\u062F\" },\n        array: { unit: \"\u0622\u06CC\u062A\u0645\", verb: \"\u062F\u0627\u0634\u062A\u0647 \u0628\u0627\u0634\u062F\" },\n        set: { unit: \"\u0622\u06CC\u062A\u0645\", verb: \"\u062F\u0627\u0634\u062A\u0647 \u0628\u0627\u0634\u062F\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0639\u062F\u062F\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u0622\u0631\u0627\u06CC\u0647\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0648\u0631\u0648\u062F\u06CC\",\n        email: \"\u0622\u062F\u0631\u0633 \u0627\u06CC\u0645\u06CC\u0644\",\n        url: \"URL\",\n        emoji: \"\u0627\u06CC\u0645\u0648\u062C\u06CC\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u062A\u0627\u0631\u06CC\u062E \u0648 \u0632\u0645\u0627\u0646 \u0627\u06CC\u0632\u0648\",\n        date: \"\u062A\u0627\u0631\u06CC\u062E \u0627\u06CC\u0632\u0648\",\n        time: \"\u0632\u0645\u0627\u0646 \u0627\u06CC\u0632\u0648\",\n        duration: \"\u0645\u062F\u062A \u0632\u0645\u0627\u0646 \u0627\u06CC\u0632\u0648\",\n        ipv4: \"IPv4 \u0622\u062F\u0631\u0633\",\n        ipv6: \"IPv6 \u0622\u062F\u0631\u0633\",\n        cidrv4: \"IPv4 \u062F\u0627\u0645\u0646\u0647\",\n        cidrv6: \"IPv6 \u062F\u0627\u0645\u0646\u0647\",\n        base64: \"base64-encoded \u0631\u0634\u062A\u0647\",\n        base64url: \"base64url-encoded \u0631\u0634\u062A\u0647\",\n        json_string: \"JSON \u0631\u0634\u062A\u0647\",\n        e164: \"E.164 \u0639\u062F\u062F\",\n        jwt: \"JWT\",\n        template_literal: \"\u0648\u0631\u0648\u062F\u06CC\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0648\u0631\u0648\u062F\u06CC \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0645\u06CC\u200C\u0628\u0627\u06CC\u0633\u062A ${issue.expected} \u0645\u06CC\u200C\u0628\u0648\u062F\u060C ${parsedType(issue.input)} \u062F\u0631\u06CC\u0627\u0641\u062A \u0634\u062F`;\n            case \"invalid_value\":\n                if (issue.values.length === 1) {\n                    return `\u0648\u0631\u0648\u062F\u06CC \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0645\u06CC\u200C\u0628\u0627\u06CC\u0633\u062A ${util.stringifyPrimitive(issue.values[0])} \u0645\u06CC\u200C\u0628\u0648\u062F`;\n                }\n                return `\u06AF\u0632\u06CC\u0646\u0647 \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0645\u06CC\u200C\u0628\u0627\u06CC\u0633\u062A \u06CC\u06A9\u06CC \u0627\u0632 ${util.joinValues(issue.values, \"|\")} \u0645\u06CC\u200C\u0628\u0648\u062F`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u062E\u06CC\u0644\u06CC \u0628\u0632\u0631\u06AF: ${issue.origin ?? \"\u0645\u0642\u062F\u0627\u0631\"} \u0628\u0627\u06CC\u062F ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0639\u0646\u0635\u0631\"} \u0628\u0627\u0634\u062F`;\n                }\n                return `\u062E\u06CC\u0644\u06CC \u0628\u0632\u0631\u06AF: ${issue.origin ?? \"\u0645\u0642\u062F\u0627\u0631\"} \u0628\u0627\u06CC\u062F ${adj}${issue.maximum.toString()} \u0628\u0627\u0634\u062F`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u062E\u06CC\u0644\u06CC \u06A9\u0648\u0686\u06A9: ${issue.origin} \u0628\u0627\u06CC\u062F ${adj}${issue.minimum.toString()} ${sizing.unit} \u0628\u0627\u0634\u062F`;\n                }\n                return `\u062E\u06CC\u0644\u06CC \u06A9\u0648\u0686\u06A9: ${issue.origin} \u0628\u0627\u06CC\u062F ${adj}${issue.minimum.toString()} \u0628\u0627\u0634\u062F`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u0631\u0634\u062A\u0647 \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0628\u0627\u06CC\u062F \u0628\u0627 \"${_issue.prefix}\" \u0634\u0631\u0648\u0639 \u0634\u0648\u062F`;\n                }\n                if (_issue.format === \"ends_with\") {\n                    return `\u0631\u0634\u062A\u0647 \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0628\u0627\u06CC\u062F \u0628\u0627 \"${_issue.suffix}\" \u062A\u0645\u0627\u0645 \u0634\u0648\u062F`;\n                }\n                if (_issue.format === \"includes\") {\n                    return `\u0631\u0634\u062A\u0647 \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0628\u0627\u06CC\u062F \u0634\u0627\u0645\u0644 \"${_issue.includes}\" \u0628\u0627\u0634\u062F`;\n                }\n                if (_issue.format === \"regex\") {\n                    return `\u0631\u0634\u062A\u0647 \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0628\u0627\u06CC\u062F \u0628\u0627 \u0627\u0644\u06AF\u0648\u06CC ${_issue.pattern} \u0645\u0637\u0627\u0628\u0642\u062A \u062F\u0627\u0634\u062A\u0647 \u0628\u0627\u0634\u062F`;\n                }\n                return `${Nouns[_issue.format] ?? issue.format} \u0646\u0627\u0645\u0639\u062A\u0628\u0631`;\n            }\n            case \"not_multiple_of\":\n                return `\u0639\u062F\u062F \u0646\u0627\u0645\u0639\u062A\u0628\u0631: \u0628\u0627\u06CC\u062F \u0645\u0636\u0631\u0628 ${issue.divisor} \u0628\u0627\u0634\u062F`;\n            case \"unrecognized_keys\":\n                return `\u06A9\u0644\u06CC\u062F${issue.keys.length > 1 ? \"\u0647\u0627\u06CC\" : \"\"} \u0646\u0627\u0634\u0646\u0627\u0633: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u06A9\u0644\u06CC\u062F \u0646\u0627\u0634\u0646\u0627\u0633 \u062F\u0631 ${issue.origin}`;\n            case \"invalid_union\":\n                return `\u0648\u0631\u0648\u062F\u06CC \u0646\u0627\u0645\u0639\u062A\u0628\u0631`;\n            case \"invalid_element\":\n                return `\u0645\u0642\u062F\u0627\u0631 \u0646\u0627\u0645\u0639\u062A\u0628\u0631 \u062F\u0631 ${issue.origin}`;\n            default:\n                return `\u0648\u0631\u0648\u062F\u06CC \u0646\u0627\u0645\u0639\u062A\u0628\u0631`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"merkki\u00E4\", subject: \"merkkijonon\" },\n        file: { unit: \"tavua\", subject: \"tiedoston\" },\n        array: { unit: \"alkiota\", subject: \"listan\" },\n        set: { unit: \"alkiota\", subject: \"joukon\" },\n        number: { unit: \"\", subject: \"luvun\" },\n        bigint: { unit: \"\", subject: \"suuren kokonaisluvun\" },\n        int: { unit: \"\", subject: \"kokonaisluvun\" },\n        date: { unit: \"\", subject: \"p\u00E4iv\u00E4m\u00E4\u00E4r\u00E4n\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"s\u00E4\u00E4nn\u00F6llinen lauseke\",\n        email: \"s\u00E4hk\u00F6postiosoite\",\n        url: \"URL-osoite\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO-aikaleima\",\n        date: \"ISO-p\u00E4iv\u00E4m\u00E4\u00E4r\u00E4\",\n        time: \"ISO-aika\",\n        duration: \"ISO-kesto\",\n        ipv4: \"IPv4-osoite\",\n        ipv6: \"IPv6-osoite\",\n        cidrv4: \"IPv4-alue\",\n        cidrv6: \"IPv6-alue\",\n        base64: \"base64-koodattu merkkijono\",\n        base64url: \"base64url-koodattu merkkijono\",\n        json_string: \"JSON-merkkijono\",\n        e164: \"E.164-luku\",\n        jwt: \"JWT\",\n        template_literal: \"templaattimerkkijono\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Virheellinen tyyppi: odotettiin ${issue.expected}, oli ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Virheellinen sy\u00F6te: t\u00E4ytyy olla ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Virheellinen valinta: t\u00E4ytyy olla yksi seuraavista: ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Liian suuri: ${sizing.subject} t\u00E4ytyy olla ${adj}${issue.maximum.toString()} ${sizing.unit}`.trim();\n                }\n                return `Liian suuri: arvon t\u00E4ytyy olla ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Liian pieni: ${sizing.subject} t\u00E4ytyy olla ${adj}${issue.minimum.toString()} ${sizing.unit}`.trim();\n                }\n                return `Liian pieni: arvon t\u00E4ytyy olla ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Virheellinen sy\u00F6te: t\u00E4ytyy alkaa \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Virheellinen sy\u00F6te: t\u00E4ytyy loppua \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Virheellinen sy\u00F6te: t\u00E4ytyy sis\u00E4lt\u00E4\u00E4 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\") {\n                    return `Virheellinen sy\u00F6te: t\u00E4ytyy vastata s\u00E4\u00E4nn\u00F6llist\u00E4 lauseketta ${_issue.pattern}`;\n                }\n                return `Virheellinen ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Virheellinen luku: t\u00E4ytyy olla luvun ${issue.divisor} monikerta`;\n            case \"unrecognized_keys\":\n                return `${issue.keys.length > 1 ? \"Tuntemattomat avaimet\" : \"Tuntematon avain\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return \"Virheellinen avain tietueessa\";\n            case \"invalid_union\":\n                return \"Virheellinen unioni\";\n            case \"invalid_element\":\n                return \"Virheellinen arvo joukossa\";\n            default:\n                return `Virheellinen sy\u00F6te`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"caract\u00E8res\", verb: \"avoir\" },\n        file: { unit: \"octets\", verb: \"avoir\" },\n        array: { unit: \"\u00E9l\u00E9ments\", verb: \"avoir\" },\n        set: { unit: \"\u00E9l\u00E9ments\", verb: \"avoir\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"nombre\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"tableau\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"entr\u00E9e\",\n        email: \"adresse e-mail\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"date et heure ISO\",\n        date: \"date ISO\",\n        time: \"heure ISO\",\n        duration: \"dur\u00E9e ISO\",\n        ipv4: \"adresse IPv4\",\n        ipv6: \"adresse IPv6\",\n        cidrv4: \"plage IPv4\",\n        cidrv6: \"plage IPv6\",\n        base64: \"cha\u00EEne encod\u00E9e en base64\",\n        base64url: \"cha\u00EEne encod\u00E9e en base64url\",\n        json_string: \"cha\u00EEne JSON\",\n        e164: \"num\u00E9ro E.164\",\n        jwt: \"JWT\",\n        template_literal: \"entr\u00E9e\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Entr\u00E9e invalide : ${issue.expected} attendu, ${parsedType(issue.input)} re\u00E7u`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Entr\u00E9e invalide : ${util.stringifyPrimitive(issue.values[0])} attendu`;\n                return `Option invalide : une valeur parmi ${util.joinValues(issue.values, \"|\")} attendue`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Trop grand : ${issue.origin ?? \"valeur\"} doit ${sizing.verb} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u00E9l\u00E9ment(s)\"}`;\n                return `Trop grand : ${issue.origin ?? \"valeur\"} doit \u00EAtre ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Trop petit : ${issue.origin} doit ${sizing.verb} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Trop petit : ${issue.origin} doit \u00EAtre ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Cha\u00EEne invalide : doit commencer par \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Cha\u00EEne invalide : doit se terminer par \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Cha\u00EEne invalide : doit inclure \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Cha\u00EEne invalide : doit correspondre au mod\u00E8le ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} invalide`;\n            }\n            case \"not_multiple_of\":\n                return `Nombre invalide : doit \u00EAtre un multiple de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Cl\u00E9${issue.keys.length > 1 ? \"s\" : \"\"} non reconnue${issue.keys.length > 1 ? \"s\" : \"\"} : ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Cl\u00E9 invalide dans ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Entr\u00E9e invalide\";\n            case \"invalid_element\":\n                return `Valeur invalide dans ${issue.origin}`;\n            default:\n                return `Entr\u00E9e invalide`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"caract\u00E8res\", verb: \"avoir\" },\n        file: { unit: \"octets\", verb: \"avoir\" },\n        array: { unit: \"\u00E9l\u00E9ments\", verb: \"avoir\" },\n        set: { unit: \"\u00E9l\u00E9ments\", verb: \"avoir\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"entr\u00E9e\",\n        email: \"adresse courriel\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"date-heure ISO\",\n        date: \"date ISO\",\n        time: \"heure ISO\",\n        duration: \"dur\u00E9e ISO\",\n        ipv4: \"adresse IPv4\",\n        ipv6: \"adresse IPv6\",\n        cidrv4: \"plage IPv4\",\n        cidrv6: \"plage IPv6\",\n        base64: \"cha\u00EEne encod\u00E9e en base64\",\n        base64url: \"cha\u00EEne encod\u00E9e en base64url\",\n        json_string: \"cha\u00EEne JSON\",\n        e164: \"num\u00E9ro E.164\",\n        jwt: \"JWT\",\n        template_literal: \"entr\u00E9e\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Entr\u00E9e invalide : attendu ${issue.expected}, re\u00E7u ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Entr\u00E9e invalide : attendu ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Option invalide : attendu l'une des valeurs suivantes ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"\u2264\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Trop grand : attendu que ${issue.origin ?? \"la valeur\"} ait ${adj}${issue.maximum.toString()} ${sizing.unit}`;\n                return `Trop grand : attendu que ${issue.origin ?? \"la valeur\"} soit ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \"\u2265\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Trop petit : attendu que ${issue.origin} ait ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Trop petit : attendu que ${issue.origin} soit ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Cha\u00EEne invalide : doit commencer par \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Cha\u00EEne invalide : doit se terminer par \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Cha\u00EEne invalide : doit inclure \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Cha\u00EEne invalide : doit correspondre au motif ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} invalide`;\n            }\n            case \"not_multiple_of\":\n                return `Nombre invalide : doit \u00EAtre un multiple de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Cl\u00E9${issue.keys.length > 1 ? \"s\" : \"\"} non reconnue${issue.keys.length > 1 ? \"s\" : \"\"} : ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Cl\u00E9 invalide dans ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Entr\u00E9e invalide\";\n            case \"invalid_element\":\n                return `Valeur invalide dans ${issue.origin}`;\n            default:\n                return `Entr\u00E9e invalide`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u05D0\u05D5\u05EA\u05D9\u05D5\u05EA\", verb: \"\u05DC\u05DB\u05DC\u05D5\u05DC\" },\n        file: { unit: \"\u05D1\u05D9\u05D9\u05D8\u05D9\u05DD\", verb: \"\u05DC\u05DB\u05DC\u05D5\u05DC\" },\n        array: { unit: \"\u05E4\u05E8\u05D9\u05D8\u05D9\u05DD\", verb: \"\u05DC\u05DB\u05DC\u05D5\u05DC\" },\n        set: { unit: \"\u05E4\u05E8\u05D9\u05D8\u05D9\u05DD\", verb: \"\u05DC\u05DB\u05DC\u05D5\u05DC\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u05E7\u05DC\u05D8\",\n        email: \"\u05DB\u05EA\u05D5\u05D1\u05EA \u05D0\u05D9\u05DE\u05D9\u05D9\u05DC\",\n        url: \"\u05DB\u05EA\u05D5\u05D1\u05EA \u05E8\u05E9\u05EA\",\n        emoji: \"\u05D0\u05D9\u05DE\u05D5\u05D2'\u05D9\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u05EA\u05D0\u05E8\u05D9\u05DA \u05D5\u05D6\u05DE\u05DF ISO\",\n        date: \"\u05EA\u05D0\u05E8\u05D9\u05DA ISO\",\n        time: \"\u05D6\u05DE\u05DF ISO\",\n        duration: \"\u05DE\u05E9\u05DA \u05D6\u05DE\u05DF ISO\",\n        ipv4: \"\u05DB\u05EA\u05D5\u05D1\u05EA IPv4\",\n        ipv6: \"\u05DB\u05EA\u05D5\u05D1\u05EA IPv6\",\n        cidrv4: \"\u05D8\u05D5\u05D5\u05D7 IPv4\",\n        cidrv6: \"\u05D8\u05D5\u05D5\u05D7 IPv6\",\n        base64: \"\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05D1\u05D1\u05E1\u05D9\u05E1 64\",\n        base64url: \"\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05D1\u05D1\u05E1\u05D9\u05E1 64 \u05DC\u05DB\u05EA\u05D5\u05D1\u05D5\u05EA \u05E8\u05E9\u05EA\",\n        json_string: \"\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA JSON\",\n        e164: \"\u05DE\u05E1\u05E4\u05E8 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u05E7\u05DC\u05D8\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u05E7\u05DC\u05D8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF: \u05E6\u05E8\u05D9\u05DA ${issue.expected}, \u05D4\u05EA\u05E7\u05D1\u05DC ${parsedType(issue.input)}`;\n            // return `Invalid input: expected ${issue.expected}, received ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u05E7\u05DC\u05D8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF: \u05E6\u05E8\u05D9\u05DA ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u05E7\u05DC\u05D8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF: \u05E6\u05E8\u05D9\u05DA \u05D0\u05D7\u05EA \u05DE\u05D4\u05D0\u05E4\u05E9\u05E8\u05D5\u05D9\u05D5\u05EA  ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u05D2\u05D3\u05D5\u05DC \u05DE\u05D3\u05D9: ${issue.origin ?? \"value\"} \u05E6\u05E8\u05D9\u05DA \u05DC\u05D4\u05D9\u05D5\u05EA ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elements\"}`;\n                return `\u05D2\u05D3\u05D5\u05DC \u05DE\u05D3\u05D9: ${issue.origin ?? \"value\"} \u05E6\u05E8\u05D9\u05DA \u05DC\u05D4\u05D9\u05D5\u05EA ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u05E7\u05D8\u05DF \u05DE\u05D3\u05D9: ${issue.origin} \u05E6\u05E8\u05D9\u05DA \u05DC\u05D4\u05D9\u05D5\u05EA ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u05E7\u05D8\u05DF \u05DE\u05D3\u05D9: ${issue.origin} \u05E6\u05E8\u05D9\u05DA \u05DC\u05D4\u05D9\u05D5\u05EA ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05DC\u05D0 \u05EA\u05E7\u05D9\u05E0\u05D4: \u05D7\u05D9\u05D9\u05D1\u05EA \u05DC\u05D4\u05EA\u05D7\u05D9\u05DC \u05D1\"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05DC\u05D0 \u05EA\u05E7\u05D9\u05E0\u05D4: \u05D7\u05D9\u05D9\u05D1\u05EA \u05DC\u05D4\u05E1\u05EA\u05D9\u05D9\u05DD \u05D1 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05DC\u05D0 \u05EA\u05E7\u05D9\u05E0\u05D4: \u05D7\u05D9\u05D9\u05D1\u05EA \u05DC\u05DB\u05DC\u05D5\u05DC \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u05DE\u05D7\u05E8\u05D5\u05D6\u05EA \u05DC\u05D0 \u05EA\u05E7\u05D9\u05E0\u05D4: \u05D7\u05D9\u05D9\u05D1\u05EA \u05DC\u05D4\u05EA\u05D0\u05D9\u05DD \u05DC\u05EA\u05D1\u05E0\u05D9\u05EA ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF`;\n            }\n            case \"not_multiple_of\":\n                return `\u05DE\u05E1\u05E4\u05E8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF: \u05D7\u05D9\u05D9\u05D1 \u05DC\u05D4\u05D9\u05D5\u05EA \u05DE\u05DB\u05E4\u05DC\u05D4 \u05E9\u05DC ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u05DE\u05E4\u05EA\u05D7${issue.keys.length > 1 ? \"\u05D5\u05EA\" : \"\"} \u05DC\u05D0 \u05DE\u05D6\u05D5\u05D4${issue.keys.length > 1 ? \"\u05D9\u05DD\" : \"\u05D4\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u05DE\u05E4\u05EA\u05D7 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF \u05D1${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u05E7\u05DC\u05D8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF\";\n            case \"invalid_element\":\n                return `\u05E2\u05E8\u05DA \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF \u05D1${issue.origin}`;\n            default:\n                return `\u05E7\u05DC\u05D8 \u05DC\u05D0 \u05EA\u05E7\u05D9\u05DF`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"karakter\", verb: \"legyen\" },\n        file: { unit: \"byte\", verb: \"legyen\" },\n        array: { unit: \"elem\", verb: \"legyen\" },\n        set: { unit: \"elem\", verb: \"legyen\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"sz\u00E1m\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"t\u00F6mb\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"bemenet\",\n        email: \"email c\u00EDm\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO id\u0151b\u00E9lyeg\",\n        date: \"ISO d\u00E1tum\",\n        time: \"ISO id\u0151\",\n        duration: \"ISO id\u0151intervallum\",\n        ipv4: \"IPv4 c\u00EDm\",\n        ipv6: \"IPv6 c\u00EDm\",\n        cidrv4: \"IPv4 tartom\u00E1ny\",\n        cidrv6: \"IPv6 tartom\u00E1ny\",\n        base64: \"base64-k\u00F3dolt string\",\n        base64url: \"base64url-k\u00F3dolt string\",\n        json_string: \"JSON string\",\n        e164: \"E.164 sz\u00E1m\",\n        jwt: \"JWT\",\n        template_literal: \"bemenet\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u00C9rv\u00E9nytelen bemenet: a v\u00E1rt \u00E9rt\u00E9k ${issue.expected}, a kapott \u00E9rt\u00E9k ${parsedType(issue.input)}`;\n            // return `Invalid input: expected ${issue.expected}, received ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u00C9rv\u00E9nytelen bemenet: a v\u00E1rt \u00E9rt\u00E9k ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u00C9rv\u00E9nytelen opci\u00F3: valamelyik \u00E9rt\u00E9k v\u00E1rt ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `T\u00FAl nagy: ${issue.origin ?? \"\u00E9rt\u00E9k\"} m\u00E9rete t\u00FAl nagy ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elem\"}`;\n                return `T\u00FAl nagy: a bemeneti \u00E9rt\u00E9k ${issue.origin ?? \"\u00E9rt\u00E9k\"} t\u00FAl nagy: ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `T\u00FAl kicsi: a bemeneti \u00E9rt\u00E9k ${issue.origin} m\u00E9rete t\u00FAl kicsi ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `T\u00FAl kicsi: a bemeneti \u00E9rt\u00E9k ${issue.origin} t\u00FAl kicsi ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u00C9rv\u00E9nytelen string: \"${_issue.prefix}\" \u00E9rt\u00E9kkel kell kezd\u0151dnie`;\n                if (_issue.format === \"ends_with\")\n                    return `\u00C9rv\u00E9nytelen string: \"${_issue.suffix}\" \u00E9rt\u00E9kkel kell v\u00E9gz\u0151dnie`;\n                if (_issue.format === \"includes\")\n                    return `\u00C9rv\u00E9nytelen string: \"${_issue.includes}\" \u00E9rt\u00E9ket kell tartalmaznia`;\n                if (_issue.format === \"regex\")\n                    return `\u00C9rv\u00E9nytelen string: ${_issue.pattern} mint\u00E1nak kell megfelelnie`;\n                return `\u00C9rv\u00E9nytelen ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u00C9rv\u00E9nytelen sz\u00E1m: ${issue.divisor} t\u00F6bbsz\u00F6r\u00F6s\u00E9nek kell lennie`;\n            case \"unrecognized_keys\":\n                return `Ismeretlen kulcs${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u00C9rv\u00E9nytelen kulcs ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u00C9rv\u00E9nytelen bemenet\";\n            case \"invalid_element\":\n                return `\u00C9rv\u00E9nytelen \u00E9rt\u00E9k: ${issue.origin}`;\n            default:\n                return `\u00C9rv\u00E9nytelen bemenet`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"karakter\", verb: \"memiliki\" },\n        file: { unit: \"byte\", verb: \"memiliki\" },\n        array: { unit: \"item\", verb: \"memiliki\" },\n        set: { unit: \"item\", verb: \"memiliki\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"input\",\n        email: \"alamat email\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"tanggal dan waktu format ISO\",\n        date: \"tanggal format ISO\",\n        time: \"jam format ISO\",\n        duration: \"durasi format ISO\",\n        ipv4: \"alamat IPv4\",\n        ipv6: \"alamat IPv6\",\n        cidrv4: \"rentang alamat IPv4\",\n        cidrv6: \"rentang alamat IPv6\",\n        base64: \"string dengan enkode base64\",\n        base64url: \"string dengan enkode base64url\",\n        json_string: \"string JSON\",\n        e164: \"angka E.164\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Input tidak valid: diharapkan ${issue.expected}, diterima ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Input tidak valid: diharapkan ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Pilihan tidak valid: diharapkan salah satu dari ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Terlalu besar: diharapkan ${issue.origin ?? \"value\"} memiliki ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elemen\"}`;\n                return `Terlalu besar: diharapkan ${issue.origin ?? \"value\"} menjadi ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Terlalu kecil: diharapkan ${issue.origin} memiliki ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Terlalu kecil: diharapkan ${issue.origin} menjadi ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `String tidak valid: harus dimulai dengan \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `String tidak valid: harus berakhir dengan \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `String tidak valid: harus menyertakan \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `String tidak valid: harus sesuai pola ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} tidak valid`;\n            }\n            case \"not_multiple_of\":\n                return `Angka tidak valid: harus kelipatan dari ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Kunci tidak dikenali ${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Kunci tidak valid di ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Input tidak valid\";\n            case \"invalid_element\":\n                return `Nilai tidak valid di ${issue.origin}`;\n            default:\n                return `Input tidak valid`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"caratteri\", verb: \"avere\" },\n        file: { unit: \"byte\", verb: \"avere\" },\n        array: { unit: \"elementi\", verb: \"avere\" },\n        set: { unit: \"elementi\", verb: \"avere\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"numero\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"vettore\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"input\",\n        email: \"indirizzo email\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"data e ora ISO\",\n        date: \"data ISO\",\n        time: \"ora ISO\",\n        duration: \"durata ISO\",\n        ipv4: \"indirizzo IPv4\",\n        ipv6: \"indirizzo IPv6\",\n        cidrv4: \"intervallo IPv4\",\n        cidrv6: \"intervallo IPv6\",\n        base64: \"stringa codificata in base64\",\n        base64url: \"URL codificata in base64\",\n        json_string: \"stringa JSON\",\n        e164: \"numero E.164\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Input non valido: atteso ${issue.expected}, ricevuto ${parsedType(issue.input)}`;\n            // return `Input non valido: atteso ${issue.expected}, ricevuto ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Input non valido: atteso ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Opzione non valida: atteso uno tra ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Troppo grande: ${issue.origin ?? \"valore\"} deve avere ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementi\"}`;\n                return `Troppo grande: ${issue.origin ?? \"valore\"} deve essere ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Troppo piccolo: ${issue.origin} deve avere ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Troppo piccolo: ${issue.origin} deve essere ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Stringa non valida: deve iniziare con \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Stringa non valida: deve terminare con \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Stringa non valida: deve includere \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Stringa non valida: deve corrispondere al pattern ${_issue.pattern}`;\n                return `Invalid ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Numero non valido: deve essere un multiplo di ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Chiav${issue.keys.length > 1 ? \"i\" : \"e\"} non riconosciut${issue.keys.length > 1 ? \"e\" : \"a\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Chiave non valida in ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Input non valido\";\n            case \"invalid_element\":\n                return `Valore non valido in ${issue.origin}`;\n            default:\n                return `Input non valido`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u6587\u5B57\", verb: \"\u3067\u3042\u308B\" },\n        file: { unit: \"\u30D0\u30A4\u30C8\", verb: \"\u3067\u3042\u308B\" },\n        array: { unit: \"\u8981\u7D20\", verb: \"\u3067\u3042\u308B\" },\n        set: { unit: \"\u8981\u7D20\", verb: \"\u3067\u3042\u308B\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u6570\u5024\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u914D\u5217\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u5165\u529B\u5024\",\n        email: \"\u30E1\u30FC\u30EB\u30A2\u30C9\u30EC\u30B9\",\n        url: \"URL\",\n        emoji: \"\u7D75\u6587\u5B57\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO\u65E5\u6642\",\n        date: \"ISO\u65E5\u4ED8\",\n        time: \"ISO\u6642\u523B\",\n        duration: \"ISO\u671F\u9593\",\n        ipv4: \"IPv4\u30A2\u30C9\u30EC\u30B9\",\n        ipv6: \"IPv6\u30A2\u30C9\u30EC\u30B9\",\n        cidrv4: \"IPv4\u7BC4\u56F2\",\n        cidrv6: \"IPv6\u7BC4\u56F2\",\n        base64: \"base64\u30A8\u30F3\u30B3\u30FC\u30C9\u6587\u5B57\u5217\",\n        base64url: \"base64url\u30A8\u30F3\u30B3\u30FC\u30C9\u6587\u5B57\u5217\",\n        json_string: \"JSON\u6587\u5B57\u5217\",\n        e164: \"E.164\u756A\u53F7\",\n        jwt: \"JWT\",\n        template_literal: \"\u5165\u529B\u5024\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u7121\u52B9\u306A\u5165\u529B: ${issue.expected}\u304C\u671F\u5F85\u3055\u308C\u307E\u3057\u305F\u304C\u3001${parsedType(issue.input)}\u304C\u5165\u529B\u3055\u308C\u307E\u3057\u305F`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u7121\u52B9\u306A\u5165\u529B: ${util.stringifyPrimitive(issue.values[0])}\u304C\u671F\u5F85\u3055\u308C\u307E\u3057\u305F`;\n                return `\u7121\u52B9\u306A\u9078\u629E: ${util.joinValues(issue.values, \"\u3001\")}\u306E\u3044\u305A\u308C\u304B\u3067\u3042\u308B\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"\u4EE5\u4E0B\u3067\u3042\u308B\" : \"\u3088\u308A\u5C0F\u3055\u3044\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u5927\u304D\u3059\u304E\u308B\u5024: ${issue.origin ?? \"\u5024\"}\u306F${issue.maximum.toString()}${sizing.unit ?? \"\u8981\u7D20\"}${adj}\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                return `\u5927\u304D\u3059\u304E\u308B\u5024: ${issue.origin ?? \"\u5024\"}\u306F${issue.maximum.toString()}${adj}\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \"\u4EE5\u4E0A\u3067\u3042\u308B\" : \"\u3088\u308A\u5927\u304D\u3044\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u5C0F\u3055\u3059\u304E\u308B\u5024: ${issue.origin}\u306F${issue.minimum.toString()}${sizing.unit}${adj}\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                return `\u5C0F\u3055\u3059\u304E\u308B\u5024: ${issue.origin}\u306F${issue.minimum.toString()}${adj}\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u7121\u52B9\u306A\u6587\u5B57\u5217: \"${_issue.prefix}\"\u3067\u59CB\u307E\u308B\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                if (_issue.format === \"ends_with\")\n                    return `\u7121\u52B9\u306A\u6587\u5B57\u5217: \"${_issue.suffix}\"\u3067\u7D42\u308F\u308B\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                if (_issue.format === \"includes\")\n                    return `\u7121\u52B9\u306A\u6587\u5B57\u5217: \"${_issue.includes}\"\u3092\u542B\u3080\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                if (_issue.format === \"regex\")\n                    return `\u7121\u52B9\u306A\u6587\u5B57\u5217: \u30D1\u30BF\u30FC\u30F3${_issue.pattern}\u306B\u4E00\u81F4\u3059\u308B\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n                return `\u7121\u52B9\u306A${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u7121\u52B9\u306A\u6570\u5024: ${issue.divisor}\u306E\u500D\u6570\u3067\u3042\u308B\u5FC5\u8981\u304C\u3042\u308A\u307E\u3059`;\n            case \"unrecognized_keys\":\n                return `\u8A8D\u8B58\u3055\u308C\u3066\u3044\u306A\u3044\u30AD\u30FC${issue.keys.length > 1 ? \"\u7FA4\" : \"\"}: ${util.joinValues(issue.keys, \"\u3001\")}`;\n            case \"invalid_key\":\n                return `${issue.origin}\u5185\u306E\u7121\u52B9\u306A\u30AD\u30FC`;\n            case \"invalid_union\":\n                return \"\u7121\u52B9\u306A\u5165\u529B\";\n            case \"invalid_element\":\n                return `${issue.origin}\u5185\u306E\u7121\u52B9\u306A\u5024`;\n            default:\n                return `\u7121\u52B9\u306A\u5165\u529B`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u178F\u17BD\u17A2\u1780\u17D2\u179F\u179A\", verb: \"\u1782\u17BD\u179A\u1798\u17B6\u1793\" },\n        file: { unit: \"\u1794\u17C3\", verb: \"\u1782\u17BD\u179A\u1798\u17B6\u1793\" },\n        array: { unit: \"\u1792\u17B6\u178F\u17BB\", verb: \"\u1782\u17BD\u179A\u1798\u17B6\u1793\" },\n        set: { unit: \"\u1792\u17B6\u178F\u17BB\", verb: \"\u1782\u17BD\u179A\u1798\u17B6\u1793\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"\u1798\u17B7\u1793\u1798\u17C2\u1793\u1787\u17B6\u179B\u17C1\u1781 (NaN)\" : \"\u179B\u17C1\u1781\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u17A2\u17B6\u179A\u17C1 (Array)\";\n                }\n                if (data === null) {\n                    return \"\u1782\u17D2\u1798\u17B6\u1793\u178F\u1798\u17D2\u179B\u17C3 (null)\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1794\u1789\u17D2\u1785\u17BC\u179B\",\n        email: \"\u17A2\u17B6\u179F\u1799\u178A\u17D2\u178B\u17B6\u1793\u17A2\u17CA\u17B8\u1798\u17C2\u179B\",\n        url: \"URL\",\n        emoji: \"\u179F\u1789\u17D2\u1789\u17B6\u17A2\u17B6\u179A\u1798\u17D2\u1798\u178E\u17CD\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u1780\u17B6\u179B\u1794\u179A\u17B7\u1785\u17D2\u1786\u17C1\u1791 \u1793\u17B7\u1784\u1798\u17C9\u17C4\u1784 ISO\",\n        date: \"\u1780\u17B6\u179B\u1794\u179A\u17B7\u1785\u17D2\u1786\u17C1\u1791 ISO\",\n        time: \"\u1798\u17C9\u17C4\u1784 ISO\",\n        duration: \"\u179A\u1799\u17C8\u1796\u17C1\u179B ISO\",\n        ipv4: \"\u17A2\u17B6\u179F\u1799\u178A\u17D2\u178B\u17B6\u1793 IPv4\",\n        ipv6: \"\u17A2\u17B6\u179F\u1799\u178A\u17D2\u178B\u17B6\u1793 IPv6\",\n        cidrv4: \"\u178A\u17C2\u1793\u17A2\u17B6\u179F\u1799\u178A\u17D2\u178B\u17B6\u1793 IPv4\",\n        cidrv6: \"\u178A\u17C2\u1793\u17A2\u17B6\u179F\u1799\u178A\u17D2\u178B\u17B6\u1793 IPv6\",\n        base64: \"\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u17A2\u17CA\u17B7\u1780\u17BC\u178A base64\",\n        base64url: \"\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u17A2\u17CA\u17B7\u1780\u17BC\u178A base64url\",\n        json_string: \"\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A JSON\",\n        e164: \"\u179B\u17C1\u1781 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1794\u1789\u17D2\u1785\u17BC\u179B\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1794\u1789\u17D2\u1785\u17BC\u179B\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${issue.expected} \u1794\u17C9\u17BB\u1793\u17D2\u178F\u17C2\u1791\u1791\u17BD\u179B\u1794\u17B6\u1793 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1794\u1789\u17D2\u1785\u17BC\u179B\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u1787\u1798\u17D2\u179A\u17BE\u179F\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1787\u17B6\u1798\u17BD\u1799\u1780\u17D2\u1793\u17BB\u1784\u1785\u17C6\u178E\u17C4\u1798 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u1792\u17C6\u1796\u17C1\u1780\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${issue.origin ?? \"\u178F\u1798\u17D2\u179B\u17C3\"} ${adj} ${issue.maximum.toString()} ${sizing.unit ?? \"\u1792\u17B6\u178F\u17BB\"}`;\n                return `\u1792\u17C6\u1796\u17C1\u1780\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${issue.origin ?? \"\u178F\u1798\u17D2\u179B\u17C3\"} ${adj} ${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u178F\u17BC\u1785\u1796\u17C1\u1780\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${issue.origin} ${adj} ${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u178F\u17BC\u1785\u1796\u17C1\u1780\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1780\u17B6\u179A ${issue.origin} ${adj} ${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1785\u17B6\u1794\u17CB\u1795\u17D2\u178F\u17BE\u1798\u178A\u17C4\u1799 \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1794\u1789\u17D2\u1785\u1794\u17CB\u178A\u17C4\u1799 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u1798\u17B6\u1793 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u1781\u17D2\u179F\u17C2\u17A2\u1780\u17D2\u179F\u179A\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u178F\u17C2\u1795\u17D2\u1782\u17BC\u1795\u17D2\u1782\u1784\u1793\u17B9\u1784\u1791\u1798\u17D2\u179A\u1784\u17CB\u178A\u17C2\u179B\u1794\u17B6\u1793\u1780\u17C6\u178E\u178F\u17CB ${_issue.pattern}`;\n                return `\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u179B\u17C1\u1781\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u17D6 \u178F\u17D2\u179A\u17BC\u179C\u178F\u17C2\u1787\u17B6\u1796\u17A0\u17BB\u1782\u17BB\u178E\u1793\u17C3 ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u179A\u1780\u1783\u17BE\u1789\u179F\u17C4\u1798\u17B7\u1793\u179F\u17D2\u1782\u17B6\u179B\u17CB\u17D6 ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u179F\u17C4\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u1793\u17C5\u1780\u17D2\u1793\u17BB\u1784 ${issue.origin}`;\n            case \"invalid_union\":\n                return `\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C`;\n            case \"invalid_element\":\n                return `\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C\u1793\u17C5\u1780\u17D2\u1793\u17BB\u1784 ${issue.origin}`;\n            default:\n                return `\u1791\u17B7\u1793\u17D2\u1793\u1793\u17D0\u1799\u1798\u17B7\u1793\u178F\u17D2\u179A\u17B9\u1798\u178F\u17D2\u179A\u17BC\u179C`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\uBB38\uC790\", verb: \"to have\" },\n        file: { unit: \"\uBC14\uC774\uD2B8\", verb: \"to have\" },\n        array: { unit: \"\uAC1C\", verb: \"to have\" },\n        set: { unit: \"\uAC1C\", verb: \"to have\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\uC785\uB825\",\n        email: \"\uC774\uBA54\uC77C \uC8FC\uC18C\",\n        url: \"URL\",\n        emoji: \"\uC774\uBAA8\uC9C0\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \uB0A0\uC9DC\uC2DC\uAC04\",\n        date: \"ISO \uB0A0\uC9DC\",\n        time: \"ISO \uC2DC\uAC04\",\n        duration: \"ISO \uAE30\uAC04\",\n        ipv4: \"IPv4 \uC8FC\uC18C\",\n        ipv6: \"IPv6 \uC8FC\uC18C\",\n        cidrv4: \"IPv4 \uBC94\uC704\",\n        cidrv6: \"IPv6 \uBC94\uC704\",\n        base64: \"base64 \uC778\uCF54\uB529 \uBB38\uC790\uC5F4\",\n        base64url: \"base64url \uC778\uCF54\uB529 \uBB38\uC790\uC5F4\",\n        json_string: \"JSON \uBB38\uC790\uC5F4\",\n        e164: \"E.164 \uBC88\uD638\",\n        jwt: \"JWT\",\n        template_literal: \"\uC785\uB825\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\uC798\uBABB\uB41C \uC785\uB825: \uC608\uC0C1 \uD0C0\uC785\uC740 ${issue.expected}, \uBC1B\uC740 \uD0C0\uC785\uC740 ${parsedType(issue.input)}\uC785\uB2C8\uB2E4`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\uC798\uBABB\uB41C \uC785\uB825: \uAC12\uC740 ${util.stringifyPrimitive(issue.values[0])} \uC774\uC5B4\uC57C \uD569\uB2C8\uB2E4`;\n                return `\uC798\uBABB\uB41C \uC635\uC158: ${util.joinValues(issue.values, \"\uB610\uB294 \")} \uC911 \uD558\uB098\uC5EC\uC57C \uD569\uB2C8\uB2E4`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"\uC774\uD558\" : \"\uBBF8\uB9CC\";\n                const suffix = adj === \"\uBBF8\uB9CC\" ? \"\uC774\uC5B4\uC57C \uD569\uB2C8\uB2E4\" : \"\uC5EC\uC57C \uD569\uB2C8\uB2E4\";\n                const sizing = getSizing(issue.origin);\n                const unit = sizing?.unit ?? \"\uC694\uC18C\";\n                if (sizing)\n                    return `${issue.origin ?? \"\uAC12\"}\uC774 \uB108\uBB34 \uD07D\uB2C8\uB2E4: ${issue.maximum.toString()}${unit} ${adj}${suffix}`;\n                return `${issue.origin ?? \"\uAC12\"}\uC774 \uB108\uBB34 \uD07D\uB2C8\uB2E4: ${issue.maximum.toString()} ${adj}${suffix}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \"\uC774\uC0C1\" : \"\uCD08\uACFC\";\n                const suffix = adj === \"\uC774\uC0C1\" ? \"\uC774\uC5B4\uC57C \uD569\uB2C8\uB2E4\" : \"\uC5EC\uC57C \uD569\uB2C8\uB2E4\";\n                const sizing = getSizing(issue.origin);\n                const unit = sizing?.unit ?? \"\uC694\uC18C\";\n                if (sizing) {\n                    return `${issue.origin ?? \"\uAC12\"}\uC774 \uB108\uBB34 \uC791\uC2B5\uB2C8\uB2E4: ${issue.minimum.toString()}${unit} ${adj}${suffix}`;\n                }\n                return `${issue.origin ?? \"\uAC12\"}\uC774 \uB108\uBB34 \uC791\uC2B5\uB2C8\uB2E4: ${issue.minimum.toString()} ${adj}${suffix}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\uC798\uBABB\uB41C \uBB38\uC790\uC5F4: \"${_issue.prefix}\"(\uC73C)\uB85C \uC2DC\uC791\uD574\uC57C \uD569\uB2C8\uB2E4`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\uC798\uBABB\uB41C \uBB38\uC790\uC5F4: \"${_issue.suffix}\"(\uC73C)\uB85C \uB05D\uB098\uC57C \uD569\uB2C8\uB2E4`;\n                if (_issue.format === \"includes\")\n                    return `\uC798\uBABB\uB41C \uBB38\uC790\uC5F4: \"${_issue.includes}\"\uC744(\uB97C) \uD3EC\uD568\uD574\uC57C \uD569\uB2C8\uB2E4`;\n                if (_issue.format === \"regex\")\n                    return `\uC798\uBABB\uB41C \uBB38\uC790\uC5F4: \uC815\uADDC\uC2DD ${_issue.pattern} \uD328\uD134\uACFC \uC77C\uCE58\uD574\uC57C \uD569\uB2C8\uB2E4`;\n                return `\uC798\uBABB\uB41C ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\uC798\uBABB\uB41C \uC22B\uC790: ${issue.divisor}\uC758 \uBC30\uC218\uC5EC\uC57C \uD569\uB2C8\uB2E4`;\n            case \"unrecognized_keys\":\n                return `\uC778\uC2DD\uD560 \uC218 \uC5C6\uB294 \uD0A4: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\uC798\uBABB\uB41C \uD0A4: ${issue.origin}`;\n            case \"invalid_union\":\n                return `\uC798\uBABB\uB41C \uC785\uB825`;\n            case \"invalid_element\":\n                return `\uC798\uBABB\uB41C \uAC12: ${issue.origin}`;\n            default:\n                return `\uC798\uBABB\uB41C \uC785\uB825`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u0437\u043D\u0430\u0446\u0438\", verb: \"\u0434\u0430 \u0438\u043C\u0430\u0430\u0442\" },\n        file: { unit: \"\u0431\u0430\u0458\u0442\u0438\", verb: \"\u0434\u0430 \u0438\u043C\u0430\u0430\u0442\" },\n        array: { unit: \"\u0441\u0442\u0430\u0432\u043A\u0438\", verb: \"\u0434\u0430 \u0438\u043C\u0430\u0430\u0442\" },\n        set: { unit: \"\u0441\u0442\u0430\u0432\u043A\u0438\", verb: \"\u0434\u0430 \u0438\u043C\u0430\u0430\u0442\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0431\u0440\u043E\u0458\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u043D\u0438\u0437\u0430\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0432\u043D\u0435\u0441\",\n        email: \"\u0430\u0434\u0440\u0435\u0441\u0430 \u043D\u0430 \u0435-\u043F\u043E\u0448\u0442\u0430\",\n        url: \"URL\",\n        emoji: \"\u0435\u043C\u043E\u045F\u0438\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \u0434\u0430\u0442\u0443\u043C \u0438 \u0432\u0440\u0435\u043C\u0435\",\n        date: \"ISO \u0434\u0430\u0442\u0443\u043C\",\n        time: \"ISO \u0432\u0440\u0435\u043C\u0435\",\n        duration: \"ISO \u0432\u0440\u0435\u043C\u0435\u0442\u0440\u0430\u0435\u045A\u0435\",\n        ipv4: \"IPv4 \u0430\u0434\u0440\u0435\u0441\u0430\",\n        ipv6: \"IPv6 \u0430\u0434\u0440\u0435\u0441\u0430\",\n        cidrv4: \"IPv4 \u043E\u043F\u0441\u0435\u0433\",\n        cidrv6: \"IPv6 \u043E\u043F\u0441\u0435\u0433\",\n        base64: \"base64-\u0435\u043D\u043A\u043E\u0434\u0438\u0440\u0430\u043D\u0430 \u043D\u0438\u0437\u0430\",\n        base64url: \"base64url-\u0435\u043D\u043A\u043E\u0434\u0438\u0440\u0430\u043D\u0430 \u043D\u0438\u0437\u0430\",\n        json_string: \"JSON \u043D\u0438\u0437\u0430\",\n        e164: \"E.164 \u0431\u0440\u043E\u0458\",\n        jwt: \"JWT\",\n        template_literal: \"\u0432\u043D\u0435\u0441\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0413\u0440\u0435\u0448\u0435\u043D \u0432\u043D\u0435\u0441: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 ${issue.expected}, \u043F\u0440\u0438\u043C\u0435\u043D\u043E ${parsedType(issue.input)}`;\n            // return `Invalid input: expected ${issue.expected}, received ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Invalid input: expected ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u0413\u0440\u0435\u0448\u0430\u043D\u0430 \u043E\u043F\u0446\u0438\u0458\u0430: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 \u0435\u0434\u043D\u0430 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u041F\u0440\u0435\u043C\u043D\u043E\u0433\u0443 \u0433\u043E\u043B\u0435\u043C: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 ${issue.origin ?? \"\u0432\u0440\u0435\u0434\u043D\u043E\u0441\u0442\u0430\"} \u0434\u0430 \u0438\u043C\u0430 ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0435\u043B\u0435\u043C\u0435\u043D\u0442\u0438\"}`;\n                return `\u041F\u0440\u0435\u043C\u043D\u043E\u0433\u0443 \u0433\u043E\u043B\u0435\u043C: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 ${issue.origin ?? \"\u0432\u0440\u0435\u0434\u043D\u043E\u0441\u0442\u0430\"} \u0434\u0430 \u0431\u0438\u0434\u0435 ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u041F\u0440\u0435\u043C\u043D\u043E\u0433\u0443 \u043C\u0430\u043B: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 ${issue.origin} \u0434\u0430 \u0438\u043C\u0430 ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u041F\u0440\u0435\u043C\u043D\u043E\u0433\u0443 \u043C\u0430\u043B: \u0441\u0435 \u043E\u0447\u0435\u043A\u0443\u0432\u0430 ${issue.origin} \u0434\u0430 \u0431\u0438\u0434\u0435 ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u041D\u0435\u0432\u0430\u0436\u0435\u0447\u043A\u0430 \u043D\u0438\u0437\u0430: \u043C\u043E\u0440\u0430 \u0434\u0430 \u0437\u0430\u043F\u043E\u0447\u043D\u0443\u0432\u0430 \u0441\u043E \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\u041D\u0435\u0432\u0430\u0436\u0435\u0447\u043A\u0430 \u043D\u0438\u0437\u0430: \u043C\u043E\u0440\u0430 \u0434\u0430 \u0437\u0430\u0432\u0440\u0448\u0443\u0432\u0430 \u0441\u043E \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u041D\u0435\u0432\u0430\u0436\u0435\u0447\u043A\u0430 \u043D\u0438\u0437\u0430: \u043C\u043E\u0440\u0430 \u0434\u0430 \u0432\u043A\u043B\u0443\u0447\u0443\u0432\u0430 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u041D\u0435\u0432\u0430\u0436\u0435\u0447\u043A\u0430 \u043D\u0438\u0437\u0430: \u043C\u043E\u0440\u0430 \u0434\u0430 \u043E\u0434\u0433\u043E\u0430\u0440\u0430 \u043D\u0430 \u043F\u0430\u0442\u0435\u0440\u043D\u043E\u0442 ${_issue.pattern}`;\n                return `Invalid ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u0413\u0440\u0435\u0448\u0435\u043D \u0431\u0440\u043E\u0458: \u043C\u043E\u0440\u0430 \u0434\u0430 \u0431\u0438\u0434\u0435 \u0434\u0435\u043B\u0438\u0432 \u0441\u043E ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `${issue.keys.length > 1 ? \"\u041D\u0435\u043F\u0440\u0435\u043F\u043E\u0437\u043D\u0430\u0435\u043D\u0438 \u043A\u043B\u0443\u0447\u0435\u0432\u0438\" : \"\u041D\u0435\u043F\u0440\u0435\u043F\u043E\u0437\u043D\u0430\u0435\u043D \u043A\u043B\u0443\u0447\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u0413\u0440\u0435\u0448\u0435\u043D \u043A\u043B\u0443\u0447 \u0432\u043E ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u0413\u0440\u0435\u0448\u0435\u043D \u0432\u043D\u0435\u0441\";\n            case \"invalid_element\":\n                return `\u0413\u0440\u0435\u0448\u043D\u0430 \u0432\u0440\u0435\u0434\u043D\u043E\u0441\u0442 \u0432\u043E ${issue.origin}`;\n            default:\n                return `\u0413\u0440\u0435\u0448\u0435\u043D \u0432\u043D\u0435\u0441`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"aksara\", verb: \"mempunyai\" },\n        file: { unit: \"bait\", verb: \"mempunyai\" },\n        array: { unit: \"elemen\", verb: \"mempunyai\" },\n        set: { unit: \"elemen\", verb: \"mempunyai\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"nombor\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"input\",\n        email: \"alamat e-mel\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"tarikh masa ISO\",\n        date: \"tarikh ISO\",\n        time: \"masa ISO\",\n        duration: \"tempoh ISO\",\n        ipv4: \"alamat IPv4\",\n        ipv6: \"alamat IPv6\",\n        cidrv4: \"julat IPv4\",\n        cidrv6: \"julat IPv6\",\n        base64: \"string dikodkan base64\",\n        base64url: \"string dikodkan base64url\",\n        json_string: \"string JSON\",\n        e164: \"nombor E.164\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Input tidak sah: dijangka ${issue.expected}, diterima ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Input tidak sah: dijangka ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Pilihan tidak sah: dijangka salah satu daripada ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Terlalu besar: dijangka ${issue.origin ?? \"nilai\"} ${sizing.verb} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elemen\"}`;\n                return `Terlalu besar: dijangka ${issue.origin ?? \"nilai\"} adalah ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Terlalu kecil: dijangka ${issue.origin} ${sizing.verb} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Terlalu kecil: dijangka ${issue.origin} adalah ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `String tidak sah: mesti bermula dengan \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `String tidak sah: mesti berakhir dengan \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `String tidak sah: mesti mengandungi \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `String tidak sah: mesti sepadan dengan corak ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} tidak sah`;\n            }\n            case \"not_multiple_of\":\n                return `Nombor tidak sah: perlu gandaan ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Kunci tidak dikenali: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Kunci tidak sah dalam ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Input tidak sah\";\n            case \"invalid_element\":\n                return `Nilai tidak sah dalam ${issue.origin}`;\n            default:\n                return `Input tidak sah`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"tekens\" },\n        file: { unit: \"bytes\" },\n        array: { unit: \"elementen\" },\n        set: { unit: \"elementen\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"getal\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"invoer\",\n        email: \"emailadres\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO datum en tijd\",\n        date: \"ISO datum\",\n        time: \"ISO tijd\",\n        duration: \"ISO duur\",\n        ipv4: \"IPv4-adres\",\n        ipv6: \"IPv6-adres\",\n        cidrv4: \"IPv4-bereik\",\n        cidrv6: \"IPv6-bereik\",\n        base64: \"base64-gecodeerde tekst\",\n        base64url: \"base64 URL-gecodeerde tekst\",\n        json_string: \"JSON string\",\n        e164: \"E.164-nummer\",\n        jwt: \"JWT\",\n        template_literal: \"invoer\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Ongeldige invoer: verwacht ${issue.expected}, ontving ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Ongeldige invoer: verwacht ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Ongeldige optie: verwacht \u00E9\u00E9n van ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Te lang: verwacht dat ${issue.origin ?? \"waarde\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementen\"} bevat`;\n                return `Te lang: verwacht dat ${issue.origin ?? \"waarde\"} ${adj}${issue.maximum.toString()} is`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Te kort: verwacht dat ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit} bevat`;\n                }\n                return `Te kort: verwacht dat ${issue.origin} ${adj}${issue.minimum.toString()} is`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Ongeldige tekst: moet met \"${_issue.prefix}\" beginnen`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Ongeldige tekst: moet op \"${_issue.suffix}\" eindigen`;\n                if (_issue.format === \"includes\")\n                    return `Ongeldige tekst: moet \"${_issue.includes}\" bevatten`;\n                if (_issue.format === \"regex\")\n                    return `Ongeldige tekst: moet overeenkomen met patroon ${_issue.pattern}`;\n                return `Ongeldig: ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Ongeldig getal: moet een veelvoud van ${issue.divisor} zijn`;\n            case \"unrecognized_keys\":\n                return `Onbekende key${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Ongeldige key in ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Ongeldige invoer\";\n            case \"invalid_element\":\n                return `Ongeldige waarde in ${issue.origin}`;\n            default:\n                return `Ongeldige invoer`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"tegn\", verb: \"\u00E5 ha\" },\n        file: { unit: \"bytes\", verb: \"\u00E5 ha\" },\n        array: { unit: \"elementer\", verb: \"\u00E5 inneholde\" },\n        set: { unit: \"elementer\", verb: \"\u00E5 inneholde\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"tall\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"liste\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"input\",\n        email: \"e-postadresse\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO dato- og klokkeslett\",\n        date: \"ISO-dato\",\n        time: \"ISO-klokkeslett\",\n        duration: \"ISO-varighet\",\n        ipv4: \"IPv4-omr\u00E5de\",\n        ipv6: \"IPv6-omr\u00E5de\",\n        cidrv4: \"IPv4-spekter\",\n        cidrv6: \"IPv6-spekter\",\n        base64: \"base64-enkodet streng\",\n        base64url: \"base64url-enkodet streng\",\n        json_string: \"JSON-streng\",\n        e164: \"E.164-nummer\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Ugyldig input: forventet ${issue.expected}, fikk ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Ugyldig verdi: forventet ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Ugyldig valg: forventet en av ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `For stor(t): forventet ${issue.origin ?? \"value\"} til \u00E5 ha ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementer\"}`;\n                return `For stor(t): forventet ${issue.origin ?? \"value\"} til \u00E5 ha ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `For lite(n): forventet ${issue.origin} til \u00E5 ha ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `For lite(n): forventet ${issue.origin} til \u00E5 ha ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Ugyldig streng: m\u00E5 starte med \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Ugyldig streng: m\u00E5 ende med \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Ugyldig streng: m\u00E5 inneholde \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Ugyldig streng: m\u00E5 matche m\u00F8nsteret ${_issue.pattern}`;\n                return `Ugyldig ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Ugyldig tall: m\u00E5 v\u00E6re et multiplum av ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `${issue.keys.length > 1 ? \"Ukjente n\u00F8kler\" : \"Ukjent n\u00F8kkel\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Ugyldig n\u00F8kkel i ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Ugyldig input\";\n            case \"invalid_element\":\n                return `Ugyldig verdi i ${issue.origin}`;\n            default:\n                return `Ugyldig input`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"harf\", verb: \"olmal\u0131d\u0131r\" },\n        file: { unit: \"bayt\", verb: \"olmal\u0131d\u0131r\" },\n        array: { unit: \"unsur\", verb: \"olmal\u0131d\u0131r\" },\n        set: { unit: \"unsur\", verb: \"olmal\u0131d\u0131r\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"numara\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"saf\";\n                }\n                if (data === null) {\n                    return \"gayb\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"giren\",\n        email: \"epostag\u00E2h\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO heng\u00E2m\u0131\",\n        date: \"ISO tarihi\",\n        time: \"ISO zaman\u0131\",\n        duration: \"ISO m\u00FCddeti\",\n        ipv4: \"IPv4 ni\u015F\u00E2n\u0131\",\n        ipv6: \"IPv6 ni\u015F\u00E2n\u0131\",\n        cidrv4: \"IPv4 menzili\",\n        cidrv6: \"IPv6 menzili\",\n        base64: \"base64-\u015Fifreli metin\",\n        base64url: \"base64url-\u015Fifreli metin\",\n        json_string: \"JSON metin\",\n        e164: \"E.164 say\u0131s\u0131\",\n        jwt: \"JWT\",\n        template_literal: \"giren\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `F\u00E2sit giren: umulan ${issue.expected}, al\u0131nan ${parsedType(issue.input)}`;\n            // return `F\u00E2sit giren: umulan ${issue.expected}, al\u0131nan ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `F\u00E2sit giren: umulan ${util.stringifyPrimitive(issue.values[0])}`;\n                return `F\u00E2sit tercih: m\u00FBteberler ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Fazla b\u00FCy\u00FCk: ${issue.origin ?? \"value\"}, ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elements\"} sahip olmal\u0131yd\u0131.`;\n                return `Fazla b\u00FCy\u00FCk: ${issue.origin ?? \"value\"}, ${adj}${issue.maximum.toString()} olmal\u0131yd\u0131.`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Fazla k\u00FC\u00E7\u00FCk: ${issue.origin}, ${adj}${issue.minimum.toString()} ${sizing.unit} sahip olmal\u0131yd\u0131.`;\n                }\n                return `Fazla k\u00FC\u00E7\u00FCk: ${issue.origin}, ${adj}${issue.minimum.toString()} olmal\u0131yd\u0131.`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `F\u00E2sit metin: \"${_issue.prefix}\" ile ba\u015Flamal\u0131.`;\n                if (_issue.format === \"ends_with\")\n                    return `F\u00E2sit metin: \"${_issue.suffix}\" ile bitmeli.`;\n                if (_issue.format === \"includes\")\n                    return `F\u00E2sit metin: \"${_issue.includes}\" ihtiv\u00E2 etmeli.`;\n                if (_issue.format === \"regex\")\n                    return `F\u00E2sit metin: ${_issue.pattern} nak\u015F\u0131na uymal\u0131.`;\n                return `F\u00E2sit ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `F\u00E2sit say\u0131: ${issue.divisor} kat\u0131 olmal\u0131yd\u0131.`;\n            case \"unrecognized_keys\":\n                return `Tan\u0131nmayan anahtar ${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} i\u00E7in tan\u0131nmayan anahtar var.`;\n            case \"invalid_union\":\n                return \"Giren tan\u0131namad\u0131.\";\n            case \"invalid_element\":\n                return `${issue.origin} i\u00E7in tan\u0131nmayan k\u0131ymet var.`;\n            default:\n                return `K\u0131ymet tan\u0131namad\u0131.`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u062A\u0648\u06A9\u064A\", verb: \"\u0648\u0644\u0631\u064A\" },\n        file: { unit: \"\u0628\u0627\u06CC\u067C\u0633\", verb: \"\u0648\u0644\u0631\u064A\" },\n        array: { unit: \"\u062A\u0648\u06A9\u064A\", verb: \"\u0648\u0644\u0631\u064A\" },\n        set: { unit: \"\u062A\u0648\u06A9\u064A\", verb: \"\u0648\u0644\u0631\u064A\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0639\u062F\u062F\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u0627\u0631\u06D0\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0648\u0631\u0648\u062F\u064A\",\n        email: \"\u0628\u0631\u06CC\u069A\u0646\u0627\u0644\u06CC\u06A9\",\n        url: \"\u06CC\u0648 \u0622\u0631 \u0627\u0644\",\n        emoji: \"\u0627\u06CC\u0645\u0648\u062C\u064A\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u0646\u06CC\u067C\u0647 \u0627\u0648 \u0648\u062E\u062A\",\n        date: \"\u0646\u06D0\u067C\u0647\",\n        time: \"\u0648\u062E\u062A\",\n        duration: \"\u0645\u0648\u062F\u0647\",\n        ipv4: \"\u062F IPv4 \u067E\u062A\u0647\",\n        ipv6: \"\u062F IPv6 \u067E\u062A\u0647\",\n        cidrv4: \"\u062F IPv4 \u0633\u0627\u062D\u0647\",\n        cidrv6: \"\u062F IPv6 \u0633\u0627\u062D\u0647\",\n        base64: \"base64-encoded \u0645\u062A\u0646\",\n        base64url: \"base64url-encoded \u0645\u062A\u0646\",\n        json_string: \"JSON \u0645\u062A\u0646\",\n        e164: \"\u062F E.164 \u0634\u0645\u06D0\u0631\u0647\",\n        jwt: \"JWT\",\n        template_literal: \"\u0648\u0631\u0648\u062F\u064A\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0646\u0627\u0633\u0645 \u0648\u0631\u0648\u062F\u064A: \u0628\u0627\u06CC\u062F ${issue.expected} \u0648\u0627\u06CC, \u0645\u06AB\u0631 ${parsedType(issue.input)} \u062A\u0631\u0644\u0627\u0633\u0647 \u0634\u0648`;\n            case \"invalid_value\":\n                if (issue.values.length === 1) {\n                    return `\u0646\u0627\u0633\u0645 \u0648\u0631\u0648\u062F\u064A: \u0628\u0627\u06CC\u062F ${util.stringifyPrimitive(issue.values[0])} \u0648\u0627\u06CC`;\n                }\n                return `\u0646\u0627\u0633\u0645 \u0627\u0646\u062A\u062E\u0627\u0628: \u0628\u0627\u06CC\u062F \u06CC\u0648 \u0644\u0647 ${util.joinValues(issue.values, \"|\")} \u0685\u062E\u0647 \u0648\u0627\u06CC`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0689\u06CC\u0631 \u0644\u0648\u06CC: ${issue.origin ?? \"\u0627\u0631\u0632\u069A\u062A\"} \u0628\u0627\u06CC\u062F ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0639\u0646\u0635\u0631\u0648\u0646\u0647\"} \u0648\u0644\u0631\u064A`;\n                }\n                return `\u0689\u06CC\u0631 \u0644\u0648\u06CC: ${issue.origin ?? \"\u0627\u0631\u0632\u069A\u062A\"} \u0628\u0627\u06CC\u062F ${adj}${issue.maximum.toString()} \u0648\u064A`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0689\u06CC\u0631 \u06A9\u0648\u0686\u0646\u06CC: ${issue.origin} \u0628\u0627\u06CC\u062F ${adj}${issue.minimum.toString()} ${sizing.unit} \u0648\u0644\u0631\u064A`;\n                }\n                return `\u0689\u06CC\u0631 \u06A9\u0648\u0686\u0646\u06CC: ${issue.origin} \u0628\u0627\u06CC\u062F ${adj}${issue.minimum.toString()} \u0648\u064A`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u0646\u0627\u0633\u0645 \u0645\u062A\u0646: \u0628\u0627\u06CC\u062F \u062F \"${_issue.prefix}\" \u0633\u0631\u0647 \u067E\u06CC\u0644 \u0634\u064A`;\n                }\n                if (_issue.format === \"ends_with\") {\n                    return `\u0646\u0627\u0633\u0645 \u0645\u062A\u0646: \u0628\u0627\u06CC\u062F \u062F \"${_issue.suffix}\" \u0633\u0631\u0647 \u067E\u0627\u06CC \u062A\u0647 \u0648\u0631\u0633\u064A\u0696\u064A`;\n                }\n                if (_issue.format === \"includes\") {\n                    return `\u0646\u0627\u0633\u0645 \u0645\u062A\u0646: \u0628\u0627\u06CC\u062F \"${_issue.includes}\" \u0648\u0644\u0631\u064A`;\n                }\n                if (_issue.format === \"regex\") {\n                    return `\u0646\u0627\u0633\u0645 \u0645\u062A\u0646: \u0628\u0627\u06CC\u062F \u062F ${_issue.pattern} \u0633\u0631\u0647 \u0645\u0637\u0627\u0628\u0642\u062A \u0648\u0644\u0631\u064A`;\n                }\n                return `${Nouns[_issue.format] ?? issue.format} \u0646\u0627\u0633\u0645 \u062F\u06CC`;\n            }\n            case \"not_multiple_of\":\n                return `\u0646\u0627\u0633\u0645 \u0639\u062F\u062F: \u0628\u0627\u06CC\u062F \u062F ${issue.divisor} \u0645\u0636\u0631\u0628 \u0648\u064A`;\n            case \"unrecognized_keys\":\n                return `\u0646\u0627\u0633\u0645 ${issue.keys.length > 1 ? \"\u06A9\u0644\u06CC\u0689\u0648\u0646\u0647\" : \"\u06A9\u0644\u06CC\u0689\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u0646\u0627\u0633\u0645 \u06A9\u0644\u06CC\u0689 \u067E\u0647 ${issue.origin} \u06A9\u06D0`;\n            case \"invalid_union\":\n                return `\u0646\u0627\u0633\u0645\u0647 \u0648\u0631\u0648\u062F\u064A`;\n            case \"invalid_element\":\n                return `\u0646\u0627\u0633\u0645 \u0639\u0646\u0635\u0631 \u067E\u0647 ${issue.origin} \u06A9\u06D0`;\n            default:\n                return `\u0646\u0627\u0633\u0645\u0647 \u0648\u0631\u0648\u062F\u064A`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"znak\u00F3w\", verb: \"mie\u0107\" },\n        file: { unit: \"bajt\u00F3w\", verb: \"mie\u0107\" },\n        array: { unit: \"element\u00F3w\", verb: \"mie\u0107\" },\n        set: { unit: \"element\u00F3w\", verb: \"mie\u0107\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"liczba\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"tablica\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"wyra\u017Cenie\",\n        email: \"adres email\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"data i godzina w formacie ISO\",\n        date: \"data w formacie ISO\",\n        time: \"godzina w formacie ISO\",\n        duration: \"czas trwania ISO\",\n        ipv4: \"adres IPv4\",\n        ipv6: \"adres IPv6\",\n        cidrv4: \"zakres IPv4\",\n        cidrv6: \"zakres IPv6\",\n        base64: \"ci\u0105g znak\u00F3w zakodowany w formacie base64\",\n        base64url: \"ci\u0105g znak\u00F3w zakodowany w formacie base64url\",\n        json_string: \"ci\u0105g znak\u00F3w w formacie JSON\",\n        e164: \"liczba E.164\",\n        jwt: \"JWT\",\n        template_literal: \"wej\u015Bcie\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Nieprawid\u0142owe dane wej\u015Bciowe: oczekiwano ${issue.expected}, otrzymano ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Nieprawid\u0142owe dane wej\u015Bciowe: oczekiwano ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Nieprawid\u0142owa opcja: oczekiwano jednej z warto\u015Bci ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Za du\u017Ca warto\u015B\u0107: oczekiwano, \u017Ce ${issue.origin ?? \"warto\u015B\u0107\"} b\u0119dzie mie\u0107 ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"element\u00F3w\"}`;\n                }\n                return `Zbyt du\u017C(y/a/e): oczekiwano, \u017Ce ${issue.origin ?? \"warto\u015B\u0107\"} b\u0119dzie wynosi\u0107 ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Za ma\u0142a warto\u015B\u0107: oczekiwano, \u017Ce ${issue.origin ?? \"warto\u015B\u0107\"} b\u0119dzie mie\u0107 ${adj}${issue.minimum.toString()} ${sizing.unit ?? \"element\u00F3w\"}`;\n                }\n                return `Zbyt ma\u0142(y/a/e): oczekiwano, \u017Ce ${issue.origin ?? \"warto\u015B\u0107\"} b\u0119dzie wynosi\u0107 ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Nieprawid\u0142owy ci\u0105g znak\u00F3w: musi zaczyna\u0107 si\u0119 od \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Nieprawid\u0142owy ci\u0105g znak\u00F3w: musi ko\u0144czy\u0107 si\u0119 na \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Nieprawid\u0142owy ci\u0105g znak\u00F3w: musi zawiera\u0107 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Nieprawid\u0142owy ci\u0105g znak\u00F3w: musi odpowiada\u0107 wzorcowi ${_issue.pattern}`;\n                return `Nieprawid\u0142ow(y/a/e) ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Nieprawid\u0142owa liczba: musi by\u0107 wielokrotno\u015Bci\u0105 ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Nierozpoznane klucze${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Nieprawid\u0142owy klucz w ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Nieprawid\u0142owe dane wej\u015Bciowe\";\n            case \"invalid_element\":\n                return `Nieprawid\u0142owa warto\u015B\u0107 w ${issue.origin}`;\n            default:\n                return `Nieprawid\u0142owe dane wej\u015Bciowe`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"caracteres\", verb: \"ter\" },\n        file: { unit: \"bytes\", verb: \"ter\" },\n        array: { unit: \"itens\", verb: \"ter\" },\n        set: { unit: \"itens\", verb: \"ter\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"n\u00FAmero\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"nulo\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"padr\u00E3o\",\n        email: \"endere\u00E7o de e-mail\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"data e hora ISO\",\n        date: \"data ISO\",\n        time: \"hora ISO\",\n        duration: \"dura\u00E7\u00E3o ISO\",\n        ipv4: \"endere\u00E7o IPv4\",\n        ipv6: \"endere\u00E7o IPv6\",\n        cidrv4: \"faixa de IPv4\",\n        cidrv6: \"faixa de IPv6\",\n        base64: \"texto codificado em base64\",\n        base64url: \"URL codificada em base64\",\n        json_string: \"texto JSON\",\n        e164: \"n\u00FAmero E.164\",\n        jwt: \"JWT\",\n        template_literal: \"entrada\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Tipo inv\u00E1lido: esperado ${issue.expected}, recebido ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Entrada inv\u00E1lida: esperado ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Op\u00E7\u00E3o inv\u00E1lida: esperada uma das ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Muito grande: esperado que ${issue.origin ?? \"valor\"} tivesse ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementos\"}`;\n                return `Muito grande: esperado que ${issue.origin ?? \"valor\"} fosse ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Muito pequeno: esperado que ${issue.origin} tivesse ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Muito pequeno: esperado que ${issue.origin} fosse ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Texto inv\u00E1lido: deve come\u00E7ar com \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Texto inv\u00E1lido: deve terminar com \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Texto inv\u00E1lido: deve incluir \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Texto inv\u00E1lido: deve corresponder ao padr\u00E3o ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} inv\u00E1lido`;\n            }\n            case \"not_multiple_of\":\n                return `N\u00FAmero inv\u00E1lido: deve ser m\u00FAltiplo de ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Chave${issue.keys.length > 1 ? \"s\" : \"\"} desconhecida${issue.keys.length > 1 ? \"s\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Chave inv\u00E1lida em ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Entrada inv\u00E1lida\";\n            case \"invalid_element\":\n                return `Valor inv\u00E1lido em ${issue.origin}`;\n            default:\n                return `Campo inv\u00E1lido`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nfunction getRussianPlural(count, one, few, many) {\n    const absCount = Math.abs(count);\n    const lastDigit = absCount % 10;\n    const lastTwoDigits = absCount % 100;\n    if (lastTwoDigits >= 11 && lastTwoDigits <= 19) {\n        return many;\n    }\n    if (lastDigit === 1) {\n        return one;\n    }\n    if (lastDigit >= 2 && lastDigit <= 4) {\n        return few;\n    }\n    return many;\n}\nconst error = () => {\n    const Sizable = {\n        string: {\n            unit: {\n                one: \"\u0441\u0438\u043C\u0432\u043E\u043B\",\n                few: \"\u0441\u0438\u043C\u0432\u043E\u043B\u0430\",\n                many: \"\u0441\u0438\u043C\u0432\u043E\u043B\u043E\u0432\",\n            },\n            verb: \"\u0438\u043C\u0435\u0442\u044C\",\n        },\n        file: {\n            unit: {\n                one: \"\u0431\u0430\u0439\u0442\",\n                few: \"\u0431\u0430\u0439\u0442\u0430\",\n                many: \"\u0431\u0430\u0439\u0442\",\n            },\n            verb: \"\u0438\u043C\u0435\u0442\u044C\",\n        },\n        array: {\n            unit: {\n                one: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\",\n                few: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\",\n                many: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u043E\u0432\",\n            },\n            verb: \"\u0438\u043C\u0435\u0442\u044C\",\n        },\n        set: {\n            unit: {\n                one: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\",\n                few: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\",\n                many: \"\u044D\u043B\u0435\u043C\u0435\u043D\u0442\u043E\u0432\",\n            },\n            verb: \"\u0438\u043C\u0435\u0442\u044C\",\n        },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0447\u0438\u0441\u043B\u043E\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u043C\u0430\u0441\u0441\u0438\u0432\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0432\u0432\u043E\u0434\",\n        email: \"email \u0430\u0434\u0440\u0435\u0441\",\n        url: \"URL\",\n        emoji: \"\u044D\u043C\u043E\u0434\u0437\u0438\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \u0434\u0430\u0442\u0430 \u0438 \u0432\u0440\u0435\u043C\u044F\",\n        date: \"ISO \u0434\u0430\u0442\u0430\",\n        time: \"ISO \u0432\u0440\u0435\u043C\u044F\",\n        duration: \"ISO \u0434\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0441\u0442\u044C\",\n        ipv4: \"IPv4 \u0430\u0434\u0440\u0435\u0441\",\n        ipv6: \"IPv6 \u0430\u0434\u0440\u0435\u0441\",\n        cidrv4: \"IPv4 \u0434\u0438\u0430\u043F\u0430\u0437\u043E\u043D\",\n        cidrv6: \"IPv6 \u0434\u0438\u0430\u043F\u0430\u0437\u043E\u043D\",\n        base64: \"\u0441\u0442\u0440\u043E\u043A\u0430 \u0432 \u0444\u043E\u0440\u043C\u0430\u0442\u0435 base64\",\n        base64url: \"\u0441\u0442\u0440\u043E\u043A\u0430 \u0432 \u0444\u043E\u0440\u043C\u0430\u0442\u0435 base64url\",\n        json_string: \"JSON \u0441\u0442\u0440\u043E\u043A\u0430\",\n        e164: \"\u043D\u043E\u043C\u0435\u0440 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u0432\u0432\u043E\u0434\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0439 \u0432\u0432\u043E\u0434: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C ${issue.expected}, \u043F\u043E\u043B\u0443\u0447\u0435\u043D\u043E ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0439 \u0432\u0432\u043E\u0434: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0439 \u0432\u0430\u0440\u0438\u0430\u043D\u0442: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C \u043E\u0434\u043D\u043E \u0438\u0437 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    const maxValue = Number(issue.maximum);\n                    const unit = getRussianPlural(maxValue, sizing.unit.one, sizing.unit.few, sizing.unit.many);\n                    return `\u0421\u043B\u0438\u0448\u043A\u043E\u043C \u0431\u043E\u043B\u044C\u0448\u043E\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C, \u0447\u0442\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435\"} \u0431\u0443\u0434\u0435\u0442 \u0438\u043C\u0435\u0442\u044C ${adj}${issue.maximum.toString()} ${unit}`;\n                }\n                return `\u0421\u043B\u0438\u0448\u043A\u043E\u043C \u0431\u043E\u043B\u044C\u0448\u043E\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C, \u0447\u0442\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435\"} \u0431\u0443\u0434\u0435\u0442 ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    const minValue = Number(issue.minimum);\n                    const unit = getRussianPlural(minValue, sizing.unit.one, sizing.unit.few, sizing.unit.many);\n                    return `\u0421\u043B\u0438\u0448\u043A\u043E\u043C \u043C\u0430\u043B\u0435\u043D\u044C\u043A\u043E\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C, \u0447\u0442\u043E ${issue.origin} \u0431\u0443\u0434\u0435\u0442 \u0438\u043C\u0435\u0442\u044C ${adj}${issue.minimum.toString()} ${unit}`;\n                }\n                return `\u0421\u043B\u0438\u0448\u043A\u043E\u043C \u043C\u0430\u043B\u0435\u043D\u044C\u043A\u043E\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435: \u043E\u0436\u0438\u0434\u0430\u043B\u043E\u0441\u044C, \u0447\u0442\u043E ${issue.origin} \u0431\u0443\u0434\u0435\u0442 ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u041D\u0435\u0432\u0435\u0440\u043D\u0430\u044F \u0441\u0442\u0440\u043E\u043A\u0430: \u0434\u043E\u043B\u0436\u043D\u0430 \u043D\u0430\u0447\u0438\u043D\u0430\u0442\u044C\u0441\u044F \u0441 \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `\u041D\u0435\u0432\u0435\u0440\u043D\u0430\u044F \u0441\u0442\u0440\u043E\u043A\u0430: \u0434\u043E\u043B\u0436\u043D\u0430 \u0437\u0430\u043A\u0430\u043D\u0447\u0438\u0432\u0430\u0442\u044C\u0441\u044F \u043D\u0430 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u041D\u0435\u0432\u0435\u0440\u043D\u0430\u044F \u0441\u0442\u0440\u043E\u043A\u0430: \u0434\u043E\u043B\u0436\u043D\u0430 \u0441\u043E\u0434\u0435\u0440\u0436\u0430\u0442\u044C \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u041D\u0435\u0432\u0435\u0440\u043D\u0430\u044F \u0441\u0442\u0440\u043E\u043A\u0430: \u0434\u043E\u043B\u0436\u043D\u0430 \u0441\u043E\u043E\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043E\u0432\u0430\u0442\u044C \u0448\u0430\u0431\u043B\u043E\u043D\u0443 ${_issue.pattern}`;\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0439 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u043E\u0435 \u0447\u0438\u0441\u043B\u043E: \u0434\u043E\u043B\u0436\u043D\u043E \u0431\u044B\u0442\u044C \u043A\u0440\u0430\u0442\u043D\u044B\u043C ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u041D\u0435\u0440\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u043D\u043D${issue.keys.length > 1 ? \"\u044B\u0435\" : \"\u044B\u0439\"} \u043A\u043B\u044E\u0447${issue.keys.length > 1 ? \"\u0438\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0439 \u043A\u043B\u044E\u0447 \u0432 ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0435 \u0432\u0445\u043E\u0434\u043D\u044B\u0435 \u0434\u0430\u043D\u043D\u044B\u0435\";\n            case \"invalid_element\":\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u043E\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u0438\u0435 \u0432 ${issue.origin}`;\n            default:\n                return `\u041D\u0435\u0432\u0435\u0440\u043D\u044B\u0435 \u0432\u0445\u043E\u0434\u043D\u044B\u0435 \u0434\u0430\u043D\u043D\u044B\u0435`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"znakov\", verb: \"imeti\" },\n        file: { unit: \"bajtov\", verb: \"imeti\" },\n        array: { unit: \"elementov\", verb: \"imeti\" },\n        set: { unit: \"elementov\", verb: \"imeti\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0161tevilo\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"tabela\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"vnos\",\n        email: \"e-po\u0161tni naslov\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO datum in \u010Das\",\n        date: \"ISO datum\",\n        time: \"ISO \u010Das\",\n        duration: \"ISO trajanje\",\n        ipv4: \"IPv4 naslov\",\n        ipv6: \"IPv6 naslov\",\n        cidrv4: \"obseg IPv4\",\n        cidrv6: \"obseg IPv6\",\n        base64: \"base64 kodiran niz\",\n        base64url: \"base64url kodiran niz\",\n        json_string: \"JSON niz\",\n        e164: \"E.164 \u0161tevilka\",\n        jwt: \"JWT\",\n        template_literal: \"vnos\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Neveljaven vnos: pri\u010Dakovano ${issue.expected}, prejeto ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Neveljaven vnos: pri\u010Dakovano ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Neveljavna mo\u017Enost: pri\u010Dakovano eno izmed ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Preveliko: pri\u010Dakovano, da bo ${issue.origin ?? \"vrednost\"} imelo ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"elementov\"}`;\n                return `Preveliko: pri\u010Dakovano, da bo ${issue.origin ?? \"vrednost\"} ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Premajhno: pri\u010Dakovano, da bo ${issue.origin} imelo ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Premajhno: pri\u010Dakovano, da bo ${issue.origin} ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Neveljaven niz: mora se za\u010Deti z \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Neveljaven niz: mora se kon\u010Dati z \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Neveljaven niz: mora vsebovati \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Neveljaven niz: mora ustrezati vzorcu ${_issue.pattern}`;\n                return `Neveljaven ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Neveljavno \u0161tevilo: mora biti ve\u010Dkratnik ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Neprepoznan${issue.keys.length > 1 ? \"i klju\u010Di\" : \" klju\u010D\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Neveljaven klju\u010D v ${issue.origin}`;\n            case \"invalid_union\":\n                return \"Neveljaven vnos\";\n            case \"invalid_element\":\n                return `Neveljavna vrednost v ${issue.origin}`;\n            default:\n                return \"Neveljaven vnos\";\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"tecken\", verb: \"att ha\" },\n        file: { unit: \"bytes\", verb: \"att ha\" },\n        array: { unit: \"objekt\", verb: \"att inneh\u00E5lla\" },\n        set: { unit: \"objekt\", verb: \"att inneh\u00E5lla\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"antal\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"lista\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"regulj\u00E4rt uttryck\",\n        email: \"e-postadress\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO-datum och tid\",\n        date: \"ISO-datum\",\n        time: \"ISO-tid\",\n        duration: \"ISO-varaktighet\",\n        ipv4: \"IPv4-intervall\",\n        ipv6: \"IPv6-intervall\",\n        cidrv4: \"IPv4-spektrum\",\n        cidrv6: \"IPv6-spektrum\",\n        base64: \"base64-kodad str\u00E4ng\",\n        base64url: \"base64url-kodad str\u00E4ng\",\n        json_string: \"JSON-str\u00E4ng\",\n        e164: \"E.164-nummer\",\n        jwt: \"JWT\",\n        template_literal: \"mall-literal\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Ogiltig inmatning: f\u00F6rv\u00E4ntat ${issue.expected}, fick ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Ogiltig inmatning: f\u00F6rv\u00E4ntat ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Ogiltigt val: f\u00F6rv\u00E4ntade en av ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `F\u00F6r stor(t): f\u00F6rv\u00E4ntade ${issue.origin ?? \"v\u00E4rdet\"} att ha ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"element\"}`;\n                }\n                return `F\u00F6r stor(t): f\u00F6rv\u00E4ntat ${issue.origin ?? \"v\u00E4rdet\"} att ha ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `F\u00F6r lite(t): f\u00F6rv\u00E4ntade ${issue.origin ?? \"v\u00E4rdet\"} att ha ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `F\u00F6r lite(t): f\u00F6rv\u00E4ntade ${issue.origin ?? \"v\u00E4rdet\"} att ha ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `Ogiltig str\u00E4ng: m\u00E5ste b\u00F6rja med \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `Ogiltig str\u00E4ng: m\u00E5ste sluta med \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Ogiltig str\u00E4ng: m\u00E5ste inneh\u00E5lla \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Ogiltig str\u00E4ng: m\u00E5ste matcha m\u00F6nstret \"${_issue.pattern}\"`;\n                return `Ogiltig(t) ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Ogiltigt tal: m\u00E5ste vara en multipel av ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `${issue.keys.length > 1 ? \"Ok\u00E4nda nycklar\" : \"Ok\u00E4nd nyckel\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Ogiltig nyckel i ${issue.origin ?? \"v\u00E4rdet\"}`;\n            case \"invalid_union\":\n                return \"Ogiltig input\";\n            case \"invalid_element\":\n                return `Ogiltigt v\u00E4rde i ${issue.origin ?? \"v\u00E4rdet\"}`;\n            default:\n                return `Ogiltig input`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u0B8E\u0BB4\u0BC1\u0BA4\u0BCD\u0BA4\u0BC1\u0B95\u0BCD\u0B95\u0BB3\u0BCD\", verb: \"\u0B95\u0BCA\u0BA3\u0BCD\u0B9F\u0BBF\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD\" },\n        file: { unit: \"\u0BAA\u0BC8\u0B9F\u0BCD\u0B9F\u0BC1\u0B95\u0BB3\u0BCD\", verb: \"\u0B95\u0BCA\u0BA3\u0BCD\u0B9F\u0BBF\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD\" },\n        array: { unit: \"\u0B89\u0BB1\u0BC1\u0BAA\u0BCD\u0BAA\u0BC1\u0B95\u0BB3\u0BCD\", verb: \"\u0B95\u0BCA\u0BA3\u0BCD\u0B9F\u0BBF\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD\" },\n        set: { unit: \"\u0B89\u0BB1\u0BC1\u0BAA\u0BCD\u0BAA\u0BC1\u0B95\u0BB3\u0BCD\", verb: \"\u0B95\u0BCA\u0BA3\u0BCD\u0B9F\u0BBF\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"\u0B8E\u0BA3\u0BCD \u0B85\u0BB2\u0BCD\u0BB2\u0BBE\u0BA4\u0BA4\u0BC1\" : \"\u0B8E\u0BA3\u0BCD\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u0B85\u0BA3\u0BBF\";\n                }\n                if (data === null) {\n                    return \"\u0BB5\u0BC6\u0BB1\u0BC1\u0BAE\u0BC8\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0B89\u0BB3\u0BCD\u0BB3\u0BC0\u0B9F\u0BC1\",\n        email: \"\u0BAE\u0BBF\u0BA9\u0BCD\u0BA9\u0B9E\u0BCD\u0B9A\u0BB2\u0BCD \u0BAE\u0BC1\u0B95\u0BB5\u0BB0\u0BBF\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \u0BA4\u0BC7\u0BA4\u0BBF \u0BA8\u0BC7\u0BB0\u0BAE\u0BCD\",\n        date: \"ISO \u0BA4\u0BC7\u0BA4\u0BBF\",\n        time: \"ISO \u0BA8\u0BC7\u0BB0\u0BAE\u0BCD\",\n        duration: \"ISO \u0B95\u0BBE\u0BB2 \u0B85\u0BB3\u0BB5\u0BC1\",\n        ipv4: \"IPv4 \u0BAE\u0BC1\u0B95\u0BB5\u0BB0\u0BBF\",\n        ipv6: \"IPv6 \u0BAE\u0BC1\u0B95\u0BB5\u0BB0\u0BBF\",\n        cidrv4: \"IPv4 \u0BB5\u0BB0\u0BAE\u0BCD\u0BAA\u0BC1\",\n        cidrv6: \"IPv6 \u0BB5\u0BB0\u0BAE\u0BCD\u0BAA\u0BC1\",\n        base64: \"base64-encoded \u0B9A\u0BB0\u0BAE\u0BCD\",\n        base64url: \"base64url-encoded \u0B9A\u0BB0\u0BAE\u0BCD\",\n        json_string: \"JSON \u0B9A\u0BB0\u0BAE\u0BCD\",\n        e164: \"E.164 \u0B8E\u0BA3\u0BCD\",\n        jwt: \"JWT\",\n        template_literal: \"input\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B89\u0BB3\u0BCD\u0BB3\u0BC0\u0B9F\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${issue.expected}, \u0BAA\u0BC6\u0BB1\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B89\u0BB3\u0BCD\u0BB3\u0BC0\u0B9F\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0BB5\u0BBF\u0BB0\u0BC1\u0BAA\u0BCD\u0BAA\u0BAE\u0BCD: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${util.joinValues(issue.values, \"|\")} \u0B87\u0BB2\u0BCD \u0B92\u0BA9\u0BCD\u0BB1\u0BC1`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0BAE\u0BBF\u0B95 \u0BAA\u0BC6\u0BB0\u0BBF\u0BAF\u0BA4\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${issue.origin ?? \"\u0BAE\u0BA4\u0BBF\u0BAA\u0BCD\u0BAA\u0BC1\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0B89\u0BB1\u0BC1\u0BAA\u0BCD\u0BAA\u0BC1\u0B95\u0BB3\u0BCD\"} \u0B86\u0B95 \u0B87\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n                }\n                return `\u0BAE\u0BBF\u0B95 \u0BAA\u0BC6\u0BB0\u0BBF\u0BAF\u0BA4\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${issue.origin ?? \"\u0BAE\u0BA4\u0BBF\u0BAA\u0BCD\u0BAA\u0BC1\"} ${adj}${issue.maximum.toString()} \u0B86\u0B95 \u0B87\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0BAE\u0BBF\u0B95\u0B9A\u0BCD \u0B9A\u0BBF\u0BB1\u0BBF\u0BAF\u0BA4\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit} \u0B86\u0B95 \u0B87\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`; //\n                }\n                return `\u0BAE\u0BBF\u0B95\u0B9A\u0BCD \u0B9A\u0BBF\u0BB1\u0BBF\u0BAF\u0BA4\u0BC1: \u0B8E\u0BA4\u0BBF\u0BB0\u0BCD\u0BAA\u0BBE\u0BB0\u0BCD\u0B95\u0BCD\u0B95\u0BAA\u0BCD\u0BAA\u0B9F\u0BCD\u0B9F\u0BA4\u0BC1 ${issue.origin} ${adj}${issue.minimum.toString()} \u0B86\u0B95 \u0B87\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B9A\u0BB0\u0BAE\u0BCD: \"${_issue.prefix}\" \u0B87\u0BB2\u0BCD \u0BA4\u0BCA\u0B9F\u0B99\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n                if (_issue.format === \"ends_with\")\n                    return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B9A\u0BB0\u0BAE\u0BCD: \"${_issue.suffix}\" \u0B87\u0BB2\u0BCD \u0BAE\u0BC1\u0B9F\u0BBF\u0BB5\u0B9F\u0BC8\u0BAF \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n                if (_issue.format === \"includes\")\n                    return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B9A\u0BB0\u0BAE\u0BCD: \"${_issue.includes}\" \u0B90 \u0B89\u0BB3\u0BCD\u0BB3\u0B9F\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n                if (_issue.format === \"regex\")\n                    return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B9A\u0BB0\u0BAE\u0BCD: ${_issue.pattern} \u0BAE\u0BC1\u0BB1\u0BC8\u0BAA\u0BBE\u0B9F\u0BCD\u0B9F\u0BC1\u0B9F\u0BA9\u0BCD \u0BAA\u0BCA\u0BB0\u0BC1\u0BA8\u0BCD\u0BA4 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n                return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B8E\u0BA3\u0BCD: ${issue.divisor} \u0B87\u0BA9\u0BCD \u0BAA\u0BB2\u0BAE\u0BBE\u0B95 \u0B87\u0BB0\u0BC1\u0B95\u0BCD\u0B95 \u0BB5\u0BC7\u0BA3\u0BCD\u0B9F\u0BC1\u0BAE\u0BCD`;\n            case \"unrecognized_keys\":\n                return `\u0B85\u0B9F\u0BC8\u0BAF\u0BBE\u0BB3\u0BAE\u0BCD \u0BA4\u0BC6\u0BB0\u0BBF\u0BAF\u0BBE\u0BA4 \u0BB5\u0BBF\u0B9A\u0BC8${issue.keys.length > 1 ? \"\u0B95\u0BB3\u0BCD\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} \u0B87\u0BB2\u0BCD \u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0BB5\u0BBF\u0B9A\u0BC8`;\n            case \"invalid_union\":\n                return \"\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B89\u0BB3\u0BCD\u0BB3\u0BC0\u0B9F\u0BC1\";\n            case \"invalid_element\":\n                return `${issue.origin} \u0B87\u0BB2\u0BCD \u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0BAE\u0BA4\u0BBF\u0BAA\u0BCD\u0BAA\u0BC1`;\n            default:\n                return `\u0BA4\u0BB5\u0BB1\u0BBE\u0BA9 \u0B89\u0BB3\u0BCD\u0BB3\u0BC0\u0B9F\u0BC1`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u0E15\u0E31\u0E27\u0E2D\u0E31\u0E01\u0E29\u0E23\", verb: \"\u0E04\u0E27\u0E23\u0E21\u0E35\" },\n        file: { unit: \"\u0E44\u0E1A\u0E15\u0E4C\", verb: \"\u0E04\u0E27\u0E23\u0E21\u0E35\" },\n        array: { unit: \"\u0E23\u0E32\u0E22\u0E01\u0E32\u0E23\", verb: \"\u0E04\u0E27\u0E23\u0E21\u0E35\" },\n        set: { unit: \"\u0E23\u0E32\u0E22\u0E01\u0E32\u0E23\", verb: \"\u0E04\u0E27\u0E23\u0E21\u0E35\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"\u0E44\u0E21\u0E48\u0E43\u0E0A\u0E48\u0E15\u0E31\u0E27\u0E40\u0E25\u0E02 (NaN)\" : \"\u0E15\u0E31\u0E27\u0E40\u0E25\u0E02\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u0E2D\u0E32\u0E23\u0E4C\u0E40\u0E23\u0E22\u0E4C (Array)\";\n                }\n                if (data === null) {\n                    return \"\u0E44\u0E21\u0E48\u0E21\u0E35\u0E04\u0E48\u0E32 (null)\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E17\u0E35\u0E48\u0E1B\u0E49\u0E2D\u0E19\",\n        email: \"\u0E17\u0E35\u0E48\u0E2D\u0E22\u0E39\u0E48\u0E2D\u0E35\u0E40\u0E21\u0E25\",\n        url: \"URL\",\n        emoji: \"\u0E2D\u0E34\u0E42\u0E21\u0E08\u0E34\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u0E27\u0E31\u0E19\u0E17\u0E35\u0E48\u0E40\u0E27\u0E25\u0E32\u0E41\u0E1A\u0E1A ISO\",\n        date: \"\u0E27\u0E31\u0E19\u0E17\u0E35\u0E48\u0E41\u0E1A\u0E1A ISO\",\n        time: \"\u0E40\u0E27\u0E25\u0E32\u0E41\u0E1A\u0E1A ISO\",\n        duration: \"\u0E0A\u0E48\u0E27\u0E07\u0E40\u0E27\u0E25\u0E32\u0E41\u0E1A\u0E1A ISO\",\n        ipv4: \"\u0E17\u0E35\u0E48\u0E2D\u0E22\u0E39\u0E48 IPv4\",\n        ipv6: \"\u0E17\u0E35\u0E48\u0E2D\u0E22\u0E39\u0E48 IPv6\",\n        cidrv4: \"\u0E0A\u0E48\u0E27\u0E07 IP \u0E41\u0E1A\u0E1A IPv4\",\n        cidrv6: \"\u0E0A\u0E48\u0E27\u0E07 IP \u0E41\u0E1A\u0E1A IPv6\",\n        base64: \"\u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E41\u0E1A\u0E1A Base64\",\n        base64url: \"\u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E41\u0E1A\u0E1A Base64 \u0E2A\u0E33\u0E2B\u0E23\u0E31\u0E1A URL\",\n        json_string: \"\u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E41\u0E1A\u0E1A JSON\",\n        e164: \"\u0E40\u0E1A\u0E2D\u0E23\u0E4C\u0E42\u0E17\u0E23\u0E28\u0E31\u0E1E\u0E17\u0E4C\u0E23\u0E30\u0E2B\u0E27\u0E48\u0E32\u0E07\u0E1B\u0E23\u0E30\u0E40\u0E17\u0E28 (E.164)\",\n        jwt: \"\u0E42\u0E17\u0E40\u0E04\u0E19 JWT\",\n        template_literal: \"\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E17\u0E35\u0E48\u0E1B\u0E49\u0E2D\u0E19\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0E1B\u0E23\u0E30\u0E40\u0E20\u0E17\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E04\u0E27\u0E23\u0E40\u0E1B\u0E47\u0E19 ${issue.expected} \u0E41\u0E15\u0E48\u0E44\u0E14\u0E49\u0E23\u0E31\u0E1A ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u0E04\u0E48\u0E32\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E04\u0E27\u0E23\u0E40\u0E1B\u0E47\u0E19 ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u0E15\u0E31\u0E27\u0E40\u0E25\u0E37\u0E2D\u0E01\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E04\u0E27\u0E23\u0E40\u0E1B\u0E47\u0E19\u0E2B\u0E19\u0E36\u0E48\u0E07\u0E43\u0E19 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"\u0E44\u0E21\u0E48\u0E40\u0E01\u0E34\u0E19\" : \"\u0E19\u0E49\u0E2D\u0E22\u0E01\u0E27\u0E48\u0E32\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u0E40\u0E01\u0E34\u0E19\u0E01\u0E33\u0E2B\u0E19\u0E14: ${issue.origin ?? \"\u0E04\u0E48\u0E32\"} \u0E04\u0E27\u0E23\u0E21\u0E35${adj} ${issue.maximum.toString()} ${sizing.unit ?? \"\u0E23\u0E32\u0E22\u0E01\u0E32\u0E23\"}`;\n                return `\u0E40\u0E01\u0E34\u0E19\u0E01\u0E33\u0E2B\u0E19\u0E14: ${issue.origin ?? \"\u0E04\u0E48\u0E32\"} \u0E04\u0E27\u0E23\u0E21\u0E35${adj} ${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \"\u0E2D\u0E22\u0E48\u0E32\u0E07\u0E19\u0E49\u0E2D\u0E22\" : \"\u0E21\u0E32\u0E01\u0E01\u0E27\u0E48\u0E32\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0E19\u0E49\u0E2D\u0E22\u0E01\u0E27\u0E48\u0E32\u0E01\u0E33\u0E2B\u0E19\u0E14: ${issue.origin} \u0E04\u0E27\u0E23\u0E21\u0E35${adj} ${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u0E19\u0E49\u0E2D\u0E22\u0E01\u0E27\u0E48\u0E32\u0E01\u0E33\u0E2B\u0E19\u0E14: ${issue.origin} \u0E04\u0E27\u0E23\u0E21\u0E35${adj} ${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E15\u0E49\u0E2D\u0E07\u0E02\u0E36\u0E49\u0E19\u0E15\u0E49\u0E19\u0E14\u0E49\u0E27\u0E22 \"${_issue.prefix}\"`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E15\u0E49\u0E2D\u0E07\u0E25\u0E07\u0E17\u0E49\u0E32\u0E22\u0E14\u0E49\u0E27\u0E22 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21\u0E15\u0E49\u0E2D\u0E07\u0E21\u0E35 \"${_issue.includes}\" \u0E2D\u0E22\u0E39\u0E48\u0E43\u0E19\u0E02\u0E49\u0E2D\u0E04\u0E27\u0E32\u0E21`;\n                if (_issue.format === \"regex\")\n                    return `\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E15\u0E49\u0E2D\u0E07\u0E15\u0E23\u0E07\u0E01\u0E31\u0E1A\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E17\u0E35\u0E48\u0E01\u0E33\u0E2B\u0E19\u0E14 ${_issue.pattern}`;\n                return `\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u0E15\u0E31\u0E27\u0E40\u0E25\u0E02\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E15\u0E49\u0E2D\u0E07\u0E40\u0E1B\u0E47\u0E19\u0E08\u0E33\u0E19\u0E27\u0E19\u0E17\u0E35\u0E48\u0E2B\u0E32\u0E23\u0E14\u0E49\u0E27\u0E22 ${issue.divisor} \u0E44\u0E14\u0E49\u0E25\u0E07\u0E15\u0E31\u0E27`;\n            case \"unrecognized_keys\":\n                return `\u0E1E\u0E1A\u0E04\u0E35\u0E22\u0E4C\u0E17\u0E35\u0E48\u0E44\u0E21\u0E48\u0E23\u0E39\u0E49\u0E08\u0E31\u0E01: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u0E04\u0E35\u0E22\u0E4C\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07\u0E43\u0E19 ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07: \u0E44\u0E21\u0E48\u0E15\u0E23\u0E07\u0E01\u0E31\u0E1A\u0E23\u0E39\u0E1B\u0E41\u0E1A\u0E1A\u0E22\u0E39\u0E40\u0E19\u0E35\u0E22\u0E19\u0E17\u0E35\u0E48\u0E01\u0E33\u0E2B\u0E19\u0E14\u0E44\u0E27\u0E49\";\n            case \"invalid_element\":\n                return `\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07\u0E43\u0E19 ${issue.origin}`;\n            default:\n                return `\u0E02\u0E49\u0E2D\u0E21\u0E39\u0E25\u0E44\u0E21\u0E48\u0E16\u0E39\u0E01\u0E15\u0E49\u0E2D\u0E07`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nexport const parsedType = (data) => {\n    const t = typeof data;\n    switch (t) {\n        case \"number\": {\n            return Number.isNaN(data) ? \"NaN\" : \"number\";\n        }\n        case \"object\": {\n            if (Array.isArray(data)) {\n                return \"array\";\n            }\n            if (data === null) {\n                return \"null\";\n            }\n            if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                return data.constructor.name;\n            }\n        }\n    }\n    return t;\n};\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"karakter\", verb: \"olmal\u0131\" },\n        file: { unit: \"bayt\", verb: \"olmal\u0131\" },\n        array: { unit: \"\u00F6\u011Fe\", verb: \"olmal\u0131\" },\n        set: { unit: \"\u00F6\u011Fe\", verb: \"olmal\u0131\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const Nouns = {\n        regex: \"girdi\",\n        email: \"e-posta adresi\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO tarih ve saat\",\n        date: \"ISO tarih\",\n        time: \"ISO saat\",\n        duration: \"ISO s\u00FCre\",\n        ipv4: \"IPv4 adresi\",\n        ipv6: \"IPv6 adresi\",\n        cidrv4: \"IPv4 aral\u0131\u011F\u0131\",\n        cidrv6: \"IPv6 aral\u0131\u011F\u0131\",\n        base64: \"base64 ile \u015Fifrelenmi\u015F metin\",\n        base64url: \"base64url ile \u015Fifrelenmi\u015F metin\",\n        json_string: \"JSON dizesi\",\n        e164: \"E.164 say\u0131s\u0131\",\n        jwt: \"JWT\",\n        template_literal: \"\u015Eablon dizesi\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `Ge\u00E7ersiz de\u011Fer: beklenen ${issue.expected}, al\u0131nan ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `Ge\u00E7ersiz de\u011Fer: beklenen ${util.stringifyPrimitive(issue.values[0])}`;\n                return `Ge\u00E7ersiz se\u00E7enek: a\u015Fa\u011F\u0131dakilerden biri olmal\u0131: ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u00C7ok b\u00FCy\u00FCk: beklenen ${issue.origin ?? \"de\u011Fer\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u00F6\u011Fe\"}`;\n                return `\u00C7ok b\u00FCy\u00FCk: beklenen ${issue.origin ?? \"de\u011Fer\"} ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u00C7ok k\u00FC\u00E7\u00FCk: beklenen ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                return `\u00C7ok k\u00FC\u00E7\u00FCk: beklenen ${issue.origin} ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Ge\u00E7ersiz metin: \"${_issue.prefix}\" ile ba\u015Flamal\u0131`;\n                if (_issue.format === \"ends_with\")\n                    return `Ge\u00E7ersiz metin: \"${_issue.suffix}\" ile bitmeli`;\n                if (_issue.format === \"includes\")\n                    return `Ge\u00E7ersiz metin: \"${_issue.includes}\" i\u00E7ermeli`;\n                if (_issue.format === \"regex\")\n                    return `Ge\u00E7ersiz metin: ${_issue.pattern} desenine uymal\u0131`;\n                return `Ge\u00E7ersiz ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `Ge\u00E7ersiz say\u0131: ${issue.divisor} ile tam b\u00F6l\u00FCnebilmeli`;\n            case \"unrecognized_keys\":\n                return `Tan\u0131nmayan anahtar${issue.keys.length > 1 ? \"lar\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} i\u00E7inde ge\u00E7ersiz anahtar`;\n            case \"invalid_union\":\n                return \"Ge\u00E7ersiz de\u011Fer\";\n            case \"invalid_element\":\n                return `${issue.origin} i\u00E7inde ge\u00E7ersiz de\u011Fer`;\n            default:\n                return `Ge\u00E7ersiz de\u011Fer`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u0441\u0438\u043C\u0432\u043E\u043B\u0456\u0432\", verb: \"\u043C\u0430\u0442\u0438\u043C\u0435\" },\n        file: { unit: \"\u0431\u0430\u0439\u0442\u0456\u0432\", verb: \"\u043C\u0430\u0442\u0438\u043C\u0435\" },\n        array: { unit: \"\u0435\u043B\u0435\u043C\u0435\u043D\u0442\u0456\u0432\", verb: \"\u043C\u0430\u0442\u0438\u043C\u0435\" },\n        set: { unit: \"\u0435\u043B\u0435\u043C\u0435\u043D\u0442\u0456\u0432\", verb: \"\u043C\u0430\u0442\u0438\u043C\u0435\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0447\u0438\u0441\u043B\u043E\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u043C\u0430\u0441\u0438\u0432\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456\",\n        email: \"\u0430\u0434\u0440\u0435\u0441\u0430 \u0435\u043B\u0435\u043A\u0442\u0440\u043E\u043D\u043D\u043E\u0457 \u043F\u043E\u0448\u0442\u0438\",\n        url: \"URL\",\n        emoji: \"\u0435\u043C\u043E\u0434\u0437\u0456\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"\u0434\u0430\u0442\u0430 \u0442\u0430 \u0447\u0430\u0441 ISO\",\n        date: \"\u0434\u0430\u0442\u0430 ISO\",\n        time: \"\u0447\u0430\u0441 ISO\",\n        duration: \"\u0442\u0440\u0438\u0432\u0430\u043B\u0456\u0441\u0442\u044C ISO\",\n        ipv4: \"\u0430\u0434\u0440\u0435\u0441\u0430 IPv4\",\n        ipv6: \"\u0430\u0434\u0440\u0435\u0441\u0430 IPv6\",\n        cidrv4: \"\u0434\u0456\u0430\u043F\u0430\u0437\u043E\u043D IPv4\",\n        cidrv6: \"\u0434\u0456\u0430\u043F\u0430\u0437\u043E\u043D IPv6\",\n        base64: \"\u0440\u044F\u0434\u043E\u043A \u0443 \u043A\u043E\u0434\u0443\u0432\u0430\u043D\u043D\u0456 base64\",\n        base64url: \"\u0440\u044F\u0434\u043E\u043A \u0443 \u043A\u043E\u0434\u0443\u0432\u0430\u043D\u043D\u0456 base64url\",\n        json_string: \"\u0440\u044F\u0434\u043E\u043A JSON\",\n        e164: \"\u043D\u043E\u043C\u0435\u0440 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0456 \u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F ${issue.expected}, \u043E\u0442\u0440\u0438\u043C\u0430\u043D\u043E ${parsedType(issue.input)}`;\n            // return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0456 \u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F ${issue.expected}, \u043E\u0442\u0440\u0438\u043C\u0430\u043D\u043E ${util.getParsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0456 \u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0430 \u043E\u043F\u0446\u0456\u044F: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F \u043E\u0434\u043D\u0435 \u0437 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u0417\u0430\u043D\u0430\u0434\u0442\u043E \u0432\u0435\u043B\u0438\u043A\u0435: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F, \u0449\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044F\"} ${sizing.verb} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0435\u043B\u0435\u043C\u0435\u043D\u0442\u0456\u0432\"}`;\n                return `\u0417\u0430\u043D\u0430\u0434\u0442\u043E \u0432\u0435\u043B\u0438\u043A\u0435: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F, \u0449\u043E ${issue.origin ?? \"\u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044F\"} \u0431\u0443\u0434\u0435 ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0417\u0430\u043D\u0430\u0434\u0442\u043E \u043C\u0430\u043B\u0435: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F, \u0449\u043E ${issue.origin} ${sizing.verb} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u0417\u0430\u043D\u0430\u0434\u0442\u043E \u043C\u0430\u043B\u0435: \u043E\u0447\u0456\u043A\u0443\u0454\u0442\u044C\u0441\u044F, \u0449\u043E ${issue.origin} \u0431\u0443\u0434\u0435 ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 \u0440\u044F\u0434\u043E\u043A: \u043F\u043E\u0432\u0438\u043D\u0435\u043D \u043F\u043E\u0447\u0438\u043D\u0430\u0442\u0438\u0441\u044F \u0437 \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 \u0440\u044F\u0434\u043E\u043A: \u043F\u043E\u0432\u0438\u043D\u0435\u043D \u0437\u0430\u043A\u0456\u043D\u0447\u0443\u0432\u0430\u0442\u0438\u0441\u044F \u043D\u0430 \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 \u0440\u044F\u0434\u043E\u043A: \u043F\u043E\u0432\u0438\u043D\u0435\u043D \u043C\u0456\u0441\u0442\u0438\u0442\u0438 \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 \u0440\u044F\u0434\u043E\u043A: \u043F\u043E\u0432\u0438\u043D\u0435\u043D \u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u0430\u0442\u0438 \u0448\u0430\u0431\u043B\u043E\u043D\u0443 ${_issue.pattern}`;\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0435 \u0447\u0438\u0441\u043B\u043E: \u043F\u043E\u0432\u0438\u043D\u043D\u043E \u0431\u0443\u0442\u0438 \u043A\u0440\u0430\u0442\u043D\u0438\u043C ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `\u041D\u0435\u0440\u043E\u0437\u043F\u0456\u0437\u043D\u0430\u043D\u0438\u0439 \u043A\u043B\u044E\u0447${issue.keys.length > 1 ? \"\u0456\" : \"\"}: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0438\u0439 \u043A\u043B\u044E\u0447 \u0443 ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0456 \u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456\";\n            case \"invalid_element\":\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0435 \u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044F \u0443 ${issue.origin}`;\n            default:\n                return `\u041D\u0435\u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0456 \u0432\u0445\u0456\u0434\u043D\u0456 \u0434\u0430\u043D\u0456`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u062D\u0631\u0648\u0641\", verb: \"\u06C1\u0648\u0646\u0627\" },\n        file: { unit: \"\u0628\u0627\u0626\u0679\u0633\", verb: \"\u06C1\u0648\u0646\u0627\" },\n        array: { unit: \"\u0622\u0626\u0679\u0645\u0632\", verb: \"\u06C1\u0648\u0646\u0627\" },\n        set: { unit: \"\u0622\u0626\u0679\u0645\u0632\", verb: \"\u06C1\u0648\u0646\u0627\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"\u0646\u0645\u0628\u0631\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u0622\u0631\u06D2\";\n                }\n                if (data === null) {\n                    return \"\u0646\u0644\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0627\u0646 \u067E\u0679\",\n        email: \"\u0627\u06CC \u0645\u06CC\u0644 \u0627\u06CC\u0688\u0631\u06CC\u0633\",\n        url: \"\u06CC\u0648 \u0622\u0631 \u0627\u06CC\u0644\",\n        emoji: \"\u0627\u06CC\u0645\u0648\u062C\u06CC\",\n        uuid: \"\u06CC\u0648 \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC\",\n        uuidv4: \"\u06CC\u0648 \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC \u0648\u06CC 4\",\n        uuidv6: \"\u06CC\u0648 \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC \u0648\u06CC 6\",\n        nanoid: \"\u0646\u06CC\u0646\u0648 \u0622\u0626\u06CC \u0688\u06CC\",\n        guid: \"\u062C\u06CC \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC\",\n        cuid: \"\u0633\u06CC \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC\",\n        cuid2: \"\u0633\u06CC \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC 2\",\n        ulid: \"\u06CC\u0648 \u0627\u06CC\u0644 \u0622\u0626\u06CC \u0688\u06CC\",\n        xid: \"\u0627\u06CC\u06A9\u0633 \u0622\u0626\u06CC \u0688\u06CC\",\n        ksuid: \"\u06A9\u06D2 \u0627\u06CC\u0633 \u06CC\u0648 \u0622\u0626\u06CC \u0688\u06CC\",\n        datetime: \"\u0622\u0626\u06CC \u0627\u06CC\u0633 \u0627\u0648 \u0688\u06CC\u0679 \u0679\u0627\u0626\u0645\",\n        date: \"\u0622\u0626\u06CC \u0627\u06CC\u0633 \u0627\u0648 \u062A\u0627\u0631\u06CC\u062E\",\n        time: \"\u0622\u0626\u06CC \u0627\u06CC\u0633 \u0627\u0648 \u0648\u0642\u062A\",\n        duration: \"\u0622\u0626\u06CC \u0627\u06CC\u0633 \u0627\u0648 \u0645\u062F\u062A\",\n        ipv4: \"\u0622\u0626\u06CC \u067E\u06CC \u0648\u06CC 4 \u0627\u06CC\u0688\u0631\u06CC\u0633\",\n        ipv6: \"\u0622\u0626\u06CC \u067E\u06CC \u0648\u06CC 6 \u0627\u06CC\u0688\u0631\u06CC\u0633\",\n        cidrv4: \"\u0622\u0626\u06CC \u067E\u06CC \u0648\u06CC 4 \u0631\u06CC\u0646\u062C\",\n        cidrv6: \"\u0622\u0626\u06CC \u067E\u06CC \u0648\u06CC 6 \u0631\u06CC\u0646\u062C\",\n        base64: \"\u0628\u06CC\u0633 64 \u0627\u0646 \u06A9\u0648\u0688\u0688 \u0633\u0679\u0631\u0646\u06AF\",\n        base64url: \"\u0628\u06CC\u0633 64 \u06CC\u0648 \u0622\u0631 \u0627\u06CC\u0644 \u0627\u0646 \u06A9\u0648\u0688\u0688 \u0633\u0679\u0631\u0646\u06AF\",\n        json_string: \"\u062C\u06D2 \u0627\u06CC\u0633 \u0627\u0648 \u0627\u06CC\u0646 \u0633\u0679\u0631\u0646\u06AF\",\n        e164: \"\u0627\u06CC 164 \u0646\u0645\u0628\u0631\",\n        jwt: \"\u062C\u06D2 \u0688\u0628\u0644\u06CC\u0648 \u0679\u06CC\",\n        template_literal: \"\u0627\u0646 \u067E\u0679\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u063A\u0644\u0637 \u0627\u0646 \u067E\u0679: ${issue.expected} \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u0627\u060C ${parsedType(issue.input)} \u0645\u0648\u0635\u0648\u0644 \u06C1\u0648\u0627`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u063A\u0644\u0637 \u0627\u0646 \u067E\u0679: ${util.stringifyPrimitive(issue.values[0])} \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u0627`;\n                return `\u063A\u0644\u0637 \u0622\u067E\u0634\u0646: ${util.joinValues(issue.values, \"|\")} \u0645\u06CC\u06BA \u0633\u06D2 \u0627\u06CC\u06A9 \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u0627`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u0628\u06C1\u062A \u0628\u0691\u0627: ${issue.origin ?? \"\u0648\u06CC\u0644\u06CC\u0648\"} \u06A9\u06D2 ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u0639\u0646\u0627\u0635\u0631\"} \u06C1\u0648\u0646\u06D2 \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u06D2`;\n                return `\u0628\u06C1\u062A \u0628\u0691\u0627: ${issue.origin ?? \"\u0648\u06CC\u0644\u06CC\u0648\"} \u06A9\u0627 ${adj}${issue.maximum.toString()} \u06C1\u0648\u0646\u0627 \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u0627`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u0628\u06C1\u062A \u0686\u06BE\u0648\u0679\u0627: ${issue.origin} \u06A9\u06D2 ${adj}${issue.minimum.toString()} ${sizing.unit} \u06C1\u0648\u0646\u06D2 \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u06D2`;\n                }\n                return `\u0628\u06C1\u062A \u0686\u06BE\u0648\u0679\u0627: ${issue.origin} \u06A9\u0627 ${adj}${issue.minimum.toString()} \u06C1\u0648\u0646\u0627 \u0645\u062A\u0648\u0642\u0639 \u062A\u06BE\u0627`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u063A\u0644\u0637 \u0633\u0679\u0631\u0646\u06AF: \"${_issue.prefix}\" \u0633\u06D2 \u0634\u0631\u0648\u0639 \u06C1\u0648\u0646\u0627 \u0686\u0627\u06C1\u06CC\u06D2`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\u063A\u0644\u0637 \u0633\u0679\u0631\u0646\u06AF: \"${_issue.suffix}\" \u067E\u0631 \u062E\u062A\u0645 \u06C1\u0648\u0646\u0627 \u0686\u0627\u06C1\u06CC\u06D2`;\n                if (_issue.format === \"includes\")\n                    return `\u063A\u0644\u0637 \u0633\u0679\u0631\u0646\u06AF: \"${_issue.includes}\" \u0634\u0627\u0645\u0644 \u06C1\u0648\u0646\u0627 \u0686\u0627\u06C1\u06CC\u06D2`;\n                if (_issue.format === \"regex\")\n                    return `\u063A\u0644\u0637 \u0633\u0679\u0631\u0646\u06AF: \u067E\u06CC\u0679\u0631\u0646 ${_issue.pattern} \u0633\u06D2 \u0645\u06CC\u0686 \u06C1\u0648\u0646\u0627 \u0686\u0627\u06C1\u06CC\u06D2`;\n                return `\u063A\u0644\u0637 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u063A\u0644\u0637 \u0646\u0645\u0628\u0631: ${issue.divisor} \u06A9\u0627 \u0645\u0636\u0627\u0639\u0641 \u06C1\u0648\u0646\u0627 \u0686\u0627\u06C1\u06CC\u06D2`;\n            case \"unrecognized_keys\":\n                return `\u063A\u06CC\u0631 \u062A\u0633\u0644\u06CC\u0645 \u0634\u062F\u06C1 \u06A9\u06CC${issue.keys.length > 1 ? \"\u0632\" : \"\"}: ${util.joinValues(issue.keys, \"\u060C \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} \u0645\u06CC\u06BA \u063A\u0644\u0637 \u06A9\u06CC`;\n            case \"invalid_union\":\n                return \"\u063A\u0644\u0637 \u0627\u0646 \u067E\u0679\";\n            case \"invalid_element\":\n                return `${issue.origin} \u0645\u06CC\u06BA \u063A\u0644\u0637 \u0648\u06CC\u0644\u06CC\u0648`;\n            default:\n                return `\u063A\u0644\u0637 \u0627\u0646 \u067E\u0679`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"k\u00FD t\u1EF1\", verb: \"c\u00F3\" },\n        file: { unit: \"byte\", verb: \"c\u00F3\" },\n        array: { unit: \"ph\u1EA7n t\u1EED\", verb: \"c\u00F3\" },\n        set: { unit: \"ph\u1EA7n t\u1EED\", verb: \"c\u00F3\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"s\u1ED1\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"m\u1EA3ng\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u0111\u1EA7u v\u00E0o\",\n        email: \"\u0111\u1ECBa ch\u1EC9 email\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ng\u00E0y gi\u1EDD ISO\",\n        date: \"ng\u00E0y ISO\",\n        time: \"gi\u1EDD ISO\",\n        duration: \"kho\u1EA3ng th\u1EDDi gian ISO\",\n        ipv4: \"\u0111\u1ECBa ch\u1EC9 IPv4\",\n        ipv6: \"\u0111\u1ECBa ch\u1EC9 IPv6\",\n        cidrv4: \"d\u1EA3i IPv4\",\n        cidrv6: \"d\u1EA3i IPv6\",\n        base64: \"chu\u1ED7i m\u00E3 h\u00F3a base64\",\n        base64url: \"chu\u1ED7i m\u00E3 h\u00F3a base64url\",\n        json_string: \"chu\u1ED7i JSON\",\n        e164: \"s\u1ED1 E.164\",\n        jwt: \"JWT\",\n        template_literal: \"\u0111\u1EA7u v\u00E0o\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u0110\u1EA7u v\u00E0o kh\u00F4ng h\u1EE3p l\u1EC7: mong \u0111\u1EE3i ${issue.expected}, nh\u1EADn \u0111\u01B0\u1EE3c ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u0110\u1EA7u v\u00E0o kh\u00F4ng h\u1EE3p l\u1EC7: mong \u0111\u1EE3i ${util.stringifyPrimitive(issue.values[0])}`;\n                return `T\u00F9y ch\u1ECDn kh\u00F4ng h\u1EE3p l\u1EC7: mong \u0111\u1EE3i m\u1ED9t trong c\u00E1c gi\u00E1 tr\u1ECB ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `Qu\u00E1 l\u1EDBn: mong \u0111\u1EE3i ${issue.origin ?? \"gi\u00E1 tr\u1ECB\"} ${sizing.verb} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"ph\u1EA7n t\u1EED\"}`;\n                return `Qu\u00E1 l\u1EDBn: mong \u0111\u1EE3i ${issue.origin ?? \"gi\u00E1 tr\u1ECB\"} ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `Qu\u00E1 nh\u1ECF: mong \u0111\u1EE3i ${issue.origin} ${sizing.verb} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `Qu\u00E1 nh\u1ECF: mong \u0111\u1EE3i ${issue.origin} ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `Chu\u1ED7i kh\u00F4ng h\u1EE3p l\u1EC7: ph\u1EA3i b\u1EAFt \u0111\u1EA7u b\u1EB1ng \"${_issue.prefix}\"`;\n                if (_issue.format === \"ends_with\")\n                    return `Chu\u1ED7i kh\u00F4ng h\u1EE3p l\u1EC7: ph\u1EA3i k\u1EBFt th\u00FAc b\u1EB1ng \"${_issue.suffix}\"`;\n                if (_issue.format === \"includes\")\n                    return `Chu\u1ED7i kh\u00F4ng h\u1EE3p l\u1EC7: ph\u1EA3i bao g\u1ED3m \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `Chu\u1ED7i kh\u00F4ng h\u1EE3p l\u1EC7: ph\u1EA3i kh\u1EDBp v\u1EDBi m\u1EABu ${_issue.pattern}`;\n                return `${Nouns[_issue.format] ?? issue.format} kh\u00F4ng h\u1EE3p l\u1EC7`;\n            }\n            case \"not_multiple_of\":\n                return `S\u1ED1 kh\u00F4ng h\u1EE3p l\u1EC7: ph\u1EA3i l\u00E0 b\u1ED9i s\u1ED1 c\u1EE7a ${issue.divisor}`;\n            case \"unrecognized_keys\":\n                return `Kh\u00F3a kh\u00F4ng \u0111\u01B0\u1EE3c nh\u1EADn d\u1EA1ng: ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `Kh\u00F3a kh\u00F4ng h\u1EE3p l\u1EC7 trong ${issue.origin}`;\n            case \"invalid_union\":\n                return \"\u0110\u1EA7u v\u00E0o kh\u00F4ng h\u1EE3p l\u1EC7\";\n            case \"invalid_element\":\n                return `Gi\u00E1 tr\u1ECB kh\u00F4ng h\u1EE3p l\u1EC7 trong ${issue.origin}`;\n            default:\n                return `\u0110\u1EA7u v\u00E0o kh\u00F4ng h\u1EE3p l\u1EC7`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u5B57\u7B26\", verb: \"\u5305\u542B\" },\n        file: { unit: \"\u5B57\u8282\", verb: \"\u5305\u542B\" },\n        array: { unit: \"\u9879\", verb: \"\u5305\u542B\" },\n        set: { unit: \"\u9879\", verb: \"\u5305\u542B\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"\u975E\u6570\u5B57(NaN)\" : \"\u6570\u5B57\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"\u6570\u7EC4\";\n                }\n                if (data === null) {\n                    return \"\u7A7A\u503C(null)\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u8F93\u5165\",\n        email: \"\u7535\u5B50\u90AE\u4EF6\",\n        url: \"URL\",\n        emoji: \"\u8868\u60C5\u7B26\u53F7\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO\u65E5\u671F\u65F6\u95F4\",\n        date: \"ISO\u65E5\u671F\",\n        time: \"ISO\u65F6\u95F4\",\n        duration: \"ISO\u65F6\u957F\",\n        ipv4: \"IPv4\u5730\u5740\",\n        ipv6: \"IPv6\u5730\u5740\",\n        cidrv4: \"IPv4\u7F51\u6BB5\",\n        cidrv6: \"IPv6\u7F51\u6BB5\",\n        base64: \"base64\u7F16\u7801\u5B57\u7B26\u4E32\",\n        base64url: \"base64url\u7F16\u7801\u5B57\u7B26\u4E32\",\n        json_string: \"JSON\u5B57\u7B26\u4E32\",\n        e164: \"E.164\u53F7\u7801\",\n        jwt: \"JWT\",\n        template_literal: \"\u8F93\u5165\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u65E0\u6548\u8F93\u5165\uFF1A\u671F\u671B ${issue.expected}\uFF0C\u5B9E\u9645\u63A5\u6536 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u65E0\u6548\u8F93\u5165\uFF1A\u671F\u671B ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u65E0\u6548\u9009\u9879\uFF1A\u671F\u671B\u4EE5\u4E0B\u4E4B\u4E00 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u6570\u503C\u8FC7\u5927\uFF1A\u671F\u671B ${issue.origin ?? \"\u503C\"} ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u4E2A\u5143\u7D20\"}`;\n                return `\u6570\u503C\u8FC7\u5927\uFF1A\u671F\u671B ${issue.origin ?? \"\u503C\"} ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u6570\u503C\u8FC7\u5C0F\uFF1A\u671F\u671B ${issue.origin} ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u6570\u503C\u8FC7\u5C0F\uFF1A\u671F\u671B ${issue.origin} ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\")\n                    return `\u65E0\u6548\u5B57\u7B26\u4E32\uFF1A\u5FC5\u987B\u4EE5 \"${_issue.prefix}\" \u5F00\u5934`;\n                if (_issue.format === \"ends_with\")\n                    return `\u65E0\u6548\u5B57\u7B26\u4E32\uFF1A\u5FC5\u987B\u4EE5 \"${_issue.suffix}\" \u7ED3\u5C3E`;\n                if (_issue.format === \"includes\")\n                    return `\u65E0\u6548\u5B57\u7B26\u4E32\uFF1A\u5FC5\u987B\u5305\u542B \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u65E0\u6548\u5B57\u7B26\u4E32\uFF1A\u5FC5\u987B\u6EE1\u8DB3\u6B63\u5219\u8868\u8FBE\u5F0F ${_issue.pattern}`;\n                return `\u65E0\u6548${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u65E0\u6548\u6570\u5B57\uFF1A\u5FC5\u987B\u662F ${issue.divisor} \u7684\u500D\u6570`;\n            case \"unrecognized_keys\":\n                return `\u51FA\u73B0\u672A\u77E5\u7684\u952E(key): ${util.joinValues(issue.keys, \", \")}`;\n            case \"invalid_key\":\n                return `${issue.origin} \u4E2D\u7684\u952E(key)\u65E0\u6548`;\n            case \"invalid_union\":\n                return \"\u65E0\u6548\u8F93\u5165\";\n            case \"invalid_element\":\n                return `${issue.origin} \u4E2D\u5305\u542B\u65E0\u6548\u503C(value)`;\n            default:\n                return `\u65E0\u6548\u8F93\u5165`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "import * as util from \"../core/util.js\";\nconst error = () => {\n    const Sizable = {\n        string: { unit: \"\u5B57\u5143\", verb: \"\u64C1\u6709\" },\n        file: { unit: \"\u4F4D\u5143\u7D44\", verb: \"\u64C1\u6709\" },\n        array: { unit: \"\u9805\u76EE\", verb: \"\u64C1\u6709\" },\n        set: { unit: \"\u9805\u76EE\", verb: \"\u64C1\u6709\" },\n    };\n    function getSizing(origin) {\n        return Sizable[origin] ?? null;\n    }\n    const parsedType = (data) => {\n        const t = typeof data;\n        switch (t) {\n            case \"number\": {\n                return Number.isNaN(data) ? \"NaN\" : \"number\";\n            }\n            case \"object\": {\n                if (Array.isArray(data)) {\n                    return \"array\";\n                }\n                if (data === null) {\n                    return \"null\";\n                }\n                if (Object.getPrototypeOf(data) !== Object.prototype && data.constructor) {\n                    return data.constructor.name;\n                }\n            }\n        }\n        return t;\n    };\n    const Nouns = {\n        regex: \"\u8F38\u5165\",\n        email: \"\u90F5\u4EF6\u5730\u5740\",\n        url: \"URL\",\n        emoji: \"emoji\",\n        uuid: \"UUID\",\n        uuidv4: \"UUIDv4\",\n        uuidv6: \"UUIDv6\",\n        nanoid: \"nanoid\",\n        guid: \"GUID\",\n        cuid: \"cuid\",\n        cuid2: \"cuid2\",\n        ulid: \"ULID\",\n        xid: \"XID\",\n        ksuid: \"KSUID\",\n        datetime: \"ISO \u65E5\u671F\u6642\u9593\",\n        date: \"ISO \u65E5\u671F\",\n        time: \"ISO \u6642\u9593\",\n        duration: \"ISO \u671F\u9593\",\n        ipv4: \"IPv4 \u4F4D\u5740\",\n        ipv6: \"IPv6 \u4F4D\u5740\",\n        cidrv4: \"IPv4 \u7BC4\u570D\",\n        cidrv6: \"IPv6 \u7BC4\u570D\",\n        base64: \"base64 \u7DE8\u78BC\u5B57\u4E32\",\n        base64url: \"base64url \u7DE8\u78BC\u5B57\u4E32\",\n        json_string: \"JSON \u5B57\u4E32\",\n        e164: \"E.164 \u6578\u503C\",\n        jwt: \"JWT\",\n        template_literal: \"\u8F38\u5165\",\n    };\n    return (issue) => {\n        switch (issue.code) {\n            case \"invalid_type\":\n                return `\u7121\u6548\u7684\u8F38\u5165\u503C\uFF1A\u9810\u671F\u70BA ${issue.expected}\uFF0C\u4F46\u6536\u5230 ${parsedType(issue.input)}`;\n            case \"invalid_value\":\n                if (issue.values.length === 1)\n                    return `\u7121\u6548\u7684\u8F38\u5165\u503C\uFF1A\u9810\u671F\u70BA ${util.stringifyPrimitive(issue.values[0])}`;\n                return `\u7121\u6548\u7684\u9078\u9805\uFF1A\u9810\u671F\u70BA\u4EE5\u4E0B\u5176\u4E2D\u4E4B\u4E00 ${util.joinValues(issue.values, \"|\")}`;\n            case \"too_big\": {\n                const adj = issue.inclusive ? \"<=\" : \"<\";\n                const sizing = getSizing(issue.origin);\n                if (sizing)\n                    return `\u6578\u503C\u904E\u5927\uFF1A\u9810\u671F ${issue.origin ?? \"\u503C\"} \u61C9\u70BA ${adj}${issue.maximum.toString()} ${sizing.unit ?? \"\u500B\u5143\u7D20\"}`;\n                return `\u6578\u503C\u904E\u5927\uFF1A\u9810\u671F ${issue.origin ?? \"\u503C\"} \u61C9\u70BA ${adj}${issue.maximum.toString()}`;\n            }\n            case \"too_small\": {\n                const adj = issue.inclusive ? \">=\" : \">\";\n                const sizing = getSizing(issue.origin);\n                if (sizing) {\n                    return `\u6578\u503C\u904E\u5C0F\uFF1A\u9810\u671F ${issue.origin} \u61C9\u70BA ${adj}${issue.minimum.toString()} ${sizing.unit}`;\n                }\n                return `\u6578\u503C\u904E\u5C0F\uFF1A\u9810\u671F ${issue.origin} \u61C9\u70BA ${adj}${issue.minimum.toString()}`;\n            }\n            case \"invalid_format\": {\n                const _issue = issue;\n                if (_issue.format === \"starts_with\") {\n                    return `\u7121\u6548\u7684\u5B57\u4E32\uFF1A\u5FC5\u9808\u4EE5 \"${_issue.prefix}\" \u958B\u982D`;\n                }\n                if (_issue.format === \"ends_with\")\n                    return `\u7121\u6548\u7684\u5B57\u4E32\uFF1A\u5FC5\u9808\u4EE5 \"${_issue.suffix}\" \u7D50\u5C3E`;\n                if (_issue.format === \"includes\")\n                    return `\u7121\u6548\u7684\u5B57\u4E32\uFF1A\u5FC5\u9808\u5305\u542B \"${_issue.includes}\"`;\n                if (_issue.format === \"regex\")\n                    return `\u7121\u6548\u7684\u5B57\u4E32\uFF1A\u5FC5\u9808\u7B26\u5408\u683C\u5F0F ${_issue.pattern}`;\n                return `\u7121\u6548\u7684 ${Nouns[_issue.format] ?? issue.format}`;\n            }\n            case \"not_multiple_of\":\n                return `\u7121\u6548\u7684\u6578\u5B57\uFF1A\u5FC5\u9808\u70BA ${issue.divisor} \u7684\u500D\u6578`;\n            case \"unrecognized_keys\":\n                return `\u7121\u6CD5\u8B58\u5225\u7684\u9375\u503C${issue.keys.length > 1 ? \"\u5011\" : \"\"}\uFF1A${util.joinValues(issue.keys, \"\u3001\")}`;\n            case \"invalid_key\":\n                return `${issue.origin} \u4E2D\u6709\u7121\u6548\u7684\u9375\u503C`;\n            case \"invalid_union\":\n                return \"\u7121\u6548\u7684\u8F38\u5165\u503C\";\n            case \"invalid_element\":\n                return `${issue.origin} \u4E2D\u6709\u7121\u6548\u7684\u503C`;\n            default:\n                return `\u7121\u6548\u7684\u8F38\u5165\u503C`;\n        }\n    };\n};\nexport default function () {\n    return {\n        localeError: error(),\n    };\n}\n", "export { default as ar } from \"./ar.js\";\nexport { default as az } from \"./az.js\";\nexport { default as be } from \"./be.js\";\nexport { default as ca } from \"./ca.js\";\nexport { default as cs } from \"./cs.js\";\nexport { default as de } from \"./de.js\";\nexport { default as en } from \"./en.js\";\nexport { default as eo } from \"./eo.js\";\nexport { default as es } from \"./es.js\";\nexport { default as fa } from \"./fa.js\";\nexport { default as fi } from \"./fi.js\";\nexport { default as fr } from \"./fr.js\";\nexport { default as frCA } from \"./fr-CA.js\";\nexport { default as he } from \"./he.js\";\nexport { default as hu } from \"./hu.js\";\nexport { default as id } from \"./id.js\";\nexport { default as it } from \"./it.js\";\nexport { default as ja } from \"./ja.js\";\nexport { default as kh } from \"./kh.js\";\nexport { default as ko } from \"./ko.js\";\nexport { default as mk } from \"./mk.js\";\nexport { default as ms } from \"./ms.js\";\nexport { default as nl } from \"./nl.js\";\nexport { default as no } from \"./no.js\";\nexport { default as ota } from \"./ota.js\";\nexport { default as ps } from \"./ps.js\";\nexport { default as pl } from \"./pl.js\";\nexport { default as pt } from \"./pt.js\";\nexport { default as ru } from \"./ru.js\";\nexport { default as sl } from \"./sl.js\";\nexport { default as sv } from \"./sv.js\";\nexport { default as ta } from \"./ta.js\";\nexport { default as th } from \"./th.js\";\nexport { default as tr } from \"./tr.js\";\nexport { default as ua } from \"./ua.js\";\nexport { default as ur } from \"./ur.js\";\nexport { default as vi } from \"./vi.js\";\nexport { default as zhCN } from \"./zh-CN.js\";\nexport { default as zhTW } from \"./zh-TW.js\";\n", "export const $output = Symbol(\"ZodOutput\");\nexport const $input = Symbol(\"ZodInput\");\nexport class $ZodRegistry {\n    constructor() {\n        this._map = new Map();\n        this._idmap = new Map();\n    }\n    add(schema, ..._meta) {\n        const meta = _meta[0];\n        this._map.set(schema, meta);\n        if (meta && typeof meta === \"object\" && \"id\" in meta) {\n            if (this._idmap.has(meta.id)) {\n                throw new Error(`ID ${meta.id} already exists in the registry`);\n            }\n            this._idmap.set(meta.id, schema);\n        }\n        return this;\n    }\n    clear() {\n        this._map = new Map();\n        this._idmap = new Map();\n        return this;\n    }\n    remove(schema) {\n        const meta = this._map.get(schema);\n        if (meta && typeof meta === \"object\" && \"id\" in meta) {\n            this._idmap.delete(meta.id);\n        }\n        this._map.delete(schema);\n        return this;\n    }\n    get(schema) {\n        // return this._map.get(schema) as any;\n        // inherit metadata\n        const p = schema._zod.parent;\n        if (p) {\n            const pm = { ...(this.get(p) ?? {}) };\n            delete pm.id; // do not inherit id\n            return { ...pm, ...this._map.get(schema) };\n        }\n        return this._map.get(schema);\n    }\n    has(schema) {\n        return this._map.has(schema);\n    }\n}\n// registries\nexport function registry() {\n    return new $ZodRegistry();\n}\nexport const globalRegistry = /*@__PURE__*/ registry();\n", "import * as checks from \"./checks.js\";\nimport * as schemas from \"./schemas.js\";\nimport * as util from \"./util.js\";\nexport function _string(Class, params) {\n    return new Class({\n        type: \"string\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _coercedString(Class, params) {\n    return new Class({\n        type: \"string\",\n        coerce: true,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _email(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"email\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _guid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"guid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uuid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"uuid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uuidv4(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"uuid\",\n        check: \"string_format\",\n        abort: false,\n        version: \"v4\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uuidv6(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"uuid\",\n        check: \"string_format\",\n        abort: false,\n        version: \"v6\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uuidv7(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"uuid\",\n        check: \"string_format\",\n        abort: false,\n        version: \"v7\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _url(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"url\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _emoji(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"emoji\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _nanoid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"nanoid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _cuid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"cuid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _cuid2(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"cuid2\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _ulid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"ulid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _xid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"xid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _ksuid(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"ksuid\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _ipv4(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"ipv4\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _ipv6(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"ipv6\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _cidrv4(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"cidrv4\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _cidrv6(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"cidrv6\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _base64(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"base64\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _base64url(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"base64url\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _e164(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"e164\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _jwt(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"jwt\",\n        check: \"string_format\",\n        abort: false,\n        ...util.normalizeParams(params),\n    });\n}\nexport const TimePrecision = {\n    Any: null,\n    Minute: -1,\n    Second: 0,\n    Millisecond: 3,\n    Microsecond: 6,\n};\nexport function _isoDateTime(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"datetime\",\n        check: \"string_format\",\n        offset: false,\n        local: false,\n        precision: null,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _isoDate(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"date\",\n        check: \"string_format\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _isoTime(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"time\",\n        check: \"string_format\",\n        precision: null,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _isoDuration(Class, params) {\n    return new Class({\n        type: \"string\",\n        format: \"duration\",\n        check: \"string_format\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _number(Class, params) {\n    return new Class({\n        type: \"number\",\n        checks: [],\n        ...util.normalizeParams(params),\n    });\n}\nexport function _coercedNumber(Class, params) {\n    return new Class({\n        type: \"number\",\n        coerce: true,\n        checks: [],\n        ...util.normalizeParams(params),\n    });\n}\nexport function _int(Class, params) {\n    return new Class({\n        type: \"number\",\n        check: \"number_format\",\n        abort: false,\n        format: \"safeint\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _float32(Class, params) {\n    return new Class({\n        type: \"number\",\n        check: \"number_format\",\n        abort: false,\n        format: \"float32\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _float64(Class, params) {\n    return new Class({\n        type: \"number\",\n        check: \"number_format\",\n        abort: false,\n        format: \"float64\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _int32(Class, params) {\n    return new Class({\n        type: \"number\",\n        check: \"number_format\",\n        abort: false,\n        format: \"int32\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uint32(Class, params) {\n    return new Class({\n        type: \"number\",\n        check: \"number_format\",\n        abort: false,\n        format: \"uint32\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _boolean(Class, params) {\n    return new Class({\n        type: \"boolean\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _coercedBoolean(Class, params) {\n    return new Class({\n        type: \"boolean\",\n        coerce: true,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _bigint(Class, params) {\n    return new Class({\n        type: \"bigint\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _coercedBigint(Class, params) {\n    return new Class({\n        type: \"bigint\",\n        coerce: true,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _int64(Class, params) {\n    return new Class({\n        type: \"bigint\",\n        check: \"bigint_format\",\n        abort: false,\n        format: \"int64\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uint64(Class, params) {\n    return new Class({\n        type: \"bigint\",\n        check: \"bigint_format\",\n        abort: false,\n        format: \"uint64\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _symbol(Class, params) {\n    return new Class({\n        type: \"symbol\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _undefined(Class, params) {\n    return new Class({\n        type: \"undefined\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _null(Class, params) {\n    return new Class({\n        type: \"null\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _any(Class) {\n    return new Class({\n        type: \"any\",\n    });\n}\nexport function _unknown(Class) {\n    return new Class({\n        type: \"unknown\",\n    });\n}\nexport function _never(Class, params) {\n    return new Class({\n        type: \"never\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _void(Class, params) {\n    return new Class({\n        type: \"void\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _date(Class, params) {\n    return new Class({\n        type: \"date\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _coercedDate(Class, params) {\n    return new Class({\n        type: \"date\",\n        coerce: true,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _nan(Class, params) {\n    return new Class({\n        type: \"nan\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _lt(value, params) {\n    return new checks.$ZodCheckLessThan({\n        check: \"less_than\",\n        ...util.normalizeParams(params),\n        value,\n        inclusive: false,\n    });\n}\nexport function _lte(value, params) {\n    return new checks.$ZodCheckLessThan({\n        check: \"less_than\",\n        ...util.normalizeParams(params),\n        value,\n        inclusive: true,\n    });\n}\nexport { \n/** @deprecated Use `z.lte()` instead. */\n_lte as _max, };\nexport function _gt(value, params) {\n    return new checks.$ZodCheckGreaterThan({\n        check: \"greater_than\",\n        ...util.normalizeParams(params),\n        value,\n        inclusive: false,\n    });\n}\nexport function _gte(value, params) {\n    return new checks.$ZodCheckGreaterThan({\n        check: \"greater_than\",\n        ...util.normalizeParams(params),\n        value,\n        inclusive: true,\n    });\n}\nexport { \n/** @deprecated Use `z.gte()` instead. */\n_gte as _min, };\nexport function _positive(params) {\n    return _gt(0, params);\n}\n// negative\nexport function _negative(params) {\n    return _lt(0, params);\n}\n// nonpositive\nexport function _nonpositive(params) {\n    return _lte(0, params);\n}\n// nonnegative\nexport function _nonnegative(params) {\n    return _gte(0, params);\n}\nexport function _multipleOf(value, params) {\n    return new checks.$ZodCheckMultipleOf({\n        check: \"multiple_of\",\n        ...util.normalizeParams(params),\n        value,\n    });\n}\nexport function _maxSize(maximum, params) {\n    return new checks.$ZodCheckMaxSize({\n        check: \"max_size\",\n        ...util.normalizeParams(params),\n        maximum,\n    });\n}\nexport function _minSize(minimum, params) {\n    return new checks.$ZodCheckMinSize({\n        check: \"min_size\",\n        ...util.normalizeParams(params),\n        minimum,\n    });\n}\nexport function _size(size, params) {\n    return new checks.$ZodCheckSizeEquals({\n        check: \"size_equals\",\n        ...util.normalizeParams(params),\n        size,\n    });\n}\nexport function _maxLength(maximum, params) {\n    const ch = new checks.$ZodCheckMaxLength({\n        check: \"max_length\",\n        ...util.normalizeParams(params),\n        maximum,\n    });\n    return ch;\n}\nexport function _minLength(minimum, params) {\n    return new checks.$ZodCheckMinLength({\n        check: \"min_length\",\n        ...util.normalizeParams(params),\n        minimum,\n    });\n}\nexport function _length(length, params) {\n    return new checks.$ZodCheckLengthEquals({\n        check: \"length_equals\",\n        ...util.normalizeParams(params),\n        length,\n    });\n}\nexport function _regex(pattern, params) {\n    return new checks.$ZodCheckRegex({\n        check: \"string_format\",\n        format: \"regex\",\n        ...util.normalizeParams(params),\n        pattern,\n    });\n}\nexport function _lowercase(params) {\n    return new checks.$ZodCheckLowerCase({\n        check: \"string_format\",\n        format: \"lowercase\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _uppercase(params) {\n    return new checks.$ZodCheckUpperCase({\n        check: \"string_format\",\n        format: \"uppercase\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _includes(includes, params) {\n    return new checks.$ZodCheckIncludes({\n        check: \"string_format\",\n        format: \"includes\",\n        ...util.normalizeParams(params),\n        includes,\n    });\n}\nexport function _startsWith(prefix, params) {\n    return new checks.$ZodCheckStartsWith({\n        check: \"string_format\",\n        format: \"starts_with\",\n        ...util.normalizeParams(params),\n        prefix,\n    });\n}\nexport function _endsWith(suffix, params) {\n    return new checks.$ZodCheckEndsWith({\n        check: \"string_format\",\n        format: \"ends_with\",\n        ...util.normalizeParams(params),\n        suffix,\n    });\n}\nexport function _property(property, schema, params) {\n    return new checks.$ZodCheckProperty({\n        check: \"property\",\n        property,\n        schema,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _mime(types, params) {\n    return new checks.$ZodCheckMimeType({\n        check: \"mime_type\",\n        mime: types,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _overwrite(tx) {\n    return new checks.$ZodCheckOverwrite({\n        check: \"overwrite\",\n        tx,\n    });\n}\n// normalize\nexport function _normalize(form) {\n    return _overwrite((input) => input.normalize(form));\n}\n// trim\nexport function _trim() {\n    return _overwrite((input) => input.trim());\n}\n// toLowerCase\nexport function _toLowerCase() {\n    return _overwrite((input) => input.toLowerCase());\n}\n// toUpperCase\nexport function _toUpperCase() {\n    return _overwrite((input) => input.toUpperCase());\n}\nexport function _array(Class, element, params) {\n    return new Class({\n        type: \"array\",\n        element,\n        // get element() {\n        //   return element;\n        // },\n        ...util.normalizeParams(params),\n    });\n}\nexport function _union(Class, options, params) {\n    return new Class({\n        type: \"union\",\n        options,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _discriminatedUnion(Class, discriminator, options, params) {\n    return new Class({\n        type: \"union\",\n        options,\n        discriminator,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _intersection(Class, left, right) {\n    return new Class({\n        type: \"intersection\",\n        left,\n        right,\n    });\n}\n// export function _tuple(\n//   Class: util.SchemaClass<schemas.$ZodTuple>,\n//   items: [],\n//   params?: string | $ZodTupleParams\n// ): schemas.$ZodTuple<[], null>;\nexport function _tuple(Class, items, _paramsOrRest, _params) {\n    const hasRest = _paramsOrRest instanceof schemas.$ZodType;\n    const params = hasRest ? _params : _paramsOrRest;\n    const rest = hasRest ? _paramsOrRest : null;\n    return new Class({\n        type: \"tuple\",\n        items,\n        rest,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _record(Class, keyType, valueType, params) {\n    return new Class({\n        type: \"record\",\n        keyType,\n        valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _map(Class, keyType, valueType, params) {\n    return new Class({\n        type: \"map\",\n        keyType,\n        valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _set(Class, valueType, params) {\n    return new Class({\n        type: \"set\",\n        valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _enum(Class, values, params) {\n    const entries = Array.isArray(values) ? Object.fromEntries(values.map((v) => [v, v])) : values;\n    // if (Array.isArray(values)) {\n    //   for (const value of values) {\n    //     entries[value] = value;\n    //   }\n    // } else {\n    //   Object.assign(entries, values);\n    // }\n    // const entries: util.EnumLike = {};\n    // for (const val of values) {\n    //   entries[val] = val;\n    // }\n    return new Class({\n        type: \"enum\",\n        entries,\n        ...util.normalizeParams(params),\n    });\n}\n/** @deprecated This API has been merged into `z.enum()`. Use `z.enum()` instead.\n *\n * ```ts\n * enum Colors { red, green, blue }\n * z.enum(Colors);\n * ```\n */\nexport function _nativeEnum(Class, entries, params) {\n    return new Class({\n        type: \"enum\",\n        entries,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _literal(Class, value, params) {\n    return new Class({\n        type: \"literal\",\n        values: Array.isArray(value) ? value : [value],\n        ...util.normalizeParams(params),\n    });\n}\nexport function _file(Class, params) {\n    return new Class({\n        type: \"file\",\n        ...util.normalizeParams(params),\n    });\n}\nexport function _transform(Class, fn) {\n    return new Class({\n        type: \"transform\",\n        transform: fn,\n    });\n}\nexport function _optional(Class, innerType) {\n    return new Class({\n        type: \"optional\",\n        innerType,\n    });\n}\nexport function _nullable(Class, innerType) {\n    return new Class({\n        type: \"nullable\",\n        innerType,\n    });\n}\nexport function _default(Class, innerType, defaultValue) {\n    return new Class({\n        type: \"default\",\n        innerType,\n        get defaultValue() {\n            return typeof defaultValue === \"function\" ? defaultValue() : defaultValue;\n        },\n    });\n}\nexport function _nonoptional(Class, innerType, params) {\n    return new Class({\n        type: \"nonoptional\",\n        innerType,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _success(Class, innerType) {\n    return new Class({\n        type: \"success\",\n        innerType,\n    });\n}\nexport function _catch(Class, innerType, catchValue) {\n    return new Class({\n        type: \"catch\",\n        innerType,\n        catchValue: (typeof catchValue === \"function\" ? catchValue : () => catchValue),\n    });\n}\nexport function _pipe(Class, in_, out) {\n    return new Class({\n        type: \"pipe\",\n        in: in_,\n        out,\n    });\n}\nexport function _readonly(Class, innerType) {\n    return new Class({\n        type: \"readonly\",\n        innerType,\n    });\n}\nexport function _templateLiteral(Class, parts, params) {\n    return new Class({\n        type: \"template_literal\",\n        parts,\n        ...util.normalizeParams(params),\n    });\n}\nexport function _lazy(Class, getter) {\n    return new Class({\n        type: \"lazy\",\n        getter,\n    });\n}\nexport function _promise(Class, innerType) {\n    return new Class({\n        type: \"promise\",\n        innerType,\n    });\n}\nexport function _custom(Class, fn, _params) {\n    const norm = util.normalizeParams(_params);\n    norm.abort ?? (norm.abort = true); // default to abort:false\n    const schema = new Class({\n        type: \"custom\",\n        check: \"custom\",\n        fn: fn,\n        ...norm,\n    });\n    return schema;\n}\n// export function _refine<T>(\n//   Class: util.SchemaClass<schemas.$ZodCustom>,\n//   fn: (arg: NoInfer<T>) => util.MaybeAsync<unknown>,\n//   _params: string | $ZodCustomParams = {}\n// ): checks.$ZodCheck<T> {\n//   return _custom(Class, fn, _params);\n// }\n// same as _custom but defaults to abort:false\nexport function _refine(Class, fn, _params) {\n    const schema = new Class({\n        type: \"custom\",\n        check: \"custom\",\n        fn: fn,\n        ...util.normalizeParams(_params),\n    });\n    return schema;\n}\nexport function _stringbool(Classes, _params) {\n    const params = util.normalizeParams(_params);\n    let truthyArray = params.truthy ?? [\"true\", \"1\", \"yes\", \"on\", \"y\", \"enabled\"];\n    let falsyArray = params.falsy ?? [\"false\", \"0\", \"no\", \"off\", \"n\", \"disabled\"];\n    if (params.case !== \"sensitive\") {\n        truthyArray = truthyArray.map((v) => (typeof v === \"string\" ? v.toLowerCase() : v));\n        falsyArray = falsyArray.map((v) => (typeof v === \"string\" ? v.toLowerCase() : v));\n    }\n    const truthySet = new Set(truthyArray);\n    const falsySet = new Set(falsyArray);\n    const _Pipe = Classes.Pipe ?? schemas.$ZodPipe;\n    const _Boolean = Classes.Boolean ?? schemas.$ZodBoolean;\n    const _String = Classes.String ?? schemas.$ZodString;\n    const _Transform = Classes.Transform ?? schemas.$ZodTransform;\n    const tx = new _Transform({\n        type: \"transform\",\n        transform: (input, payload) => {\n            let data = input;\n            if (params.case !== \"sensitive\")\n                data = data.toLowerCase();\n            if (truthySet.has(data)) {\n                return true;\n            }\n            else if (falsySet.has(data)) {\n                return false;\n            }\n            else {\n                payload.issues.push({\n                    code: \"invalid_value\",\n                    expected: \"stringbool\",\n                    values: [...truthySet, ...falsySet],\n                    input: payload.value,\n                    inst: tx,\n                });\n                return {};\n            }\n        },\n        error: params.error,\n    });\n    // params.error;\n    const innerPipe = new _Pipe({\n        type: \"pipe\",\n        in: new _String({ type: \"string\", error: params.error }),\n        out: tx,\n        error: params.error,\n    });\n    const outerPipe = new _Pipe({\n        type: \"pipe\",\n        in: innerPipe,\n        out: new _Boolean({\n            type: \"boolean\",\n            error: params.error,\n        }),\n        error: params.error,\n    });\n    return outerPipe;\n}\nexport function _stringFormat(Class, format, fnOrRegex, _params = {}) {\n    const params = util.normalizeParams(_params);\n    const def = {\n        ...util.normalizeParams(_params),\n        check: \"string_format\",\n        type: \"string\",\n        format,\n        fn: typeof fnOrRegex === \"function\" ? fnOrRegex : (val) => fnOrRegex.test(val),\n        ...params,\n    };\n    if (fnOrRegex instanceof RegExp) {\n        def.pattern = fnOrRegex;\n    }\n    const inst = new Class(def);\n    return inst;\n}\n", "import { _array, _tuple, _unknown } from \"./api.js\";\nimport { parse, parseAsync } from \"./parse.js\";\nimport * as schemas from \"./schemas.js\";\nimport { $ZodTuple } from \"./schemas.js\";\nexport class $ZodFunction {\n    constructor(def) {\n        this._def = def;\n        this.def = def;\n    }\n    implement(func) {\n        if (typeof func !== \"function\") {\n            throw new Error(\"implement() must be called with a function\");\n        }\n        const impl = ((...args) => {\n            const parsedArgs = this._def.input ? parse(this._def.input, args, undefined, { callee: impl }) : args;\n            if (!Array.isArray(parsedArgs)) {\n                throw new Error(\"Invalid arguments schema: not an array or tuple schema.\");\n            }\n            const output = func(...parsedArgs);\n            return this._def.output ? parse(this._def.output, output, undefined, { callee: impl }) : output;\n        });\n        return impl;\n    }\n    implementAsync(func) {\n        if (typeof func !== \"function\") {\n            throw new Error(\"implement() must be called with a function\");\n        }\n        const impl = (async (...args) => {\n            const parsedArgs = this._def.input ? await parseAsync(this._def.input, args, undefined, { callee: impl }) : args;\n            if (!Array.isArray(parsedArgs)) {\n                throw new Error(\"Invalid arguments schema: not an array or tuple schema.\");\n            }\n            const output = await func(...parsedArgs);\n            return this._def.output ? parseAsync(this._def.output, output, undefined, { callee: impl }) : output;\n        });\n        return impl;\n    }\n    input(...args) {\n        const F = this.constructor;\n        if (Array.isArray(args[0])) {\n            return new F({\n                type: \"function\",\n                input: new $ZodTuple({\n                    type: \"tuple\",\n                    items: args[0],\n                    rest: args[1],\n                }),\n                output: this._def.output,\n            });\n        }\n        return new F({\n            type: \"function\",\n            input: args[0],\n            output: this._def.output,\n        });\n    }\n    output(output) {\n        const F = this.constructor;\n        return new F({\n            type: \"function\",\n            input: this._def.input,\n            output,\n        });\n    }\n}\nfunction _function(params) {\n    return new $ZodFunction({\n        type: \"function\",\n        input: Array.isArray(params?.input)\n            ? _tuple(schemas.$ZodTuple, params?.input)\n            : (params?.input ?? _array(schemas.$ZodArray, _unknown(schemas.$ZodUnknown))),\n        output: params?.output ?? _unknown(schemas.$ZodUnknown),\n    });\n}\nexport { _function as function };\n", "import { $ZodRegistry, globalRegistry } from \"./registries.js\";\nimport { getEnumValues } from \"./util.js\";\nexport class JSONSchemaGenerator {\n    constructor(params) {\n        this.counter = 0;\n        this.metadataRegistry = params?.metadata ?? globalRegistry;\n        this.target = params?.target ?? \"draft-2020-12\";\n        this.unrepresentable = params?.unrepresentable ?? \"throw\";\n        this.override = params?.override ?? (() => { });\n        this.io = params?.io ?? \"output\";\n        this.seen = new Map();\n    }\n    process(schema, _params = { path: [], schemaPath: [] }) {\n        var _a;\n        const def = schema._zod.def;\n        const formatMap = {\n            guid: \"uuid\",\n            url: \"uri\",\n            datetime: \"date-time\",\n            json_string: \"json-string\",\n            regex: \"\", // do not set\n        };\n        // check for schema in seens\n        const seen = this.seen.get(schema);\n        if (seen) {\n            seen.count++;\n            // check if cycle\n            const isCycle = _params.schemaPath.includes(schema);\n            if (isCycle) {\n                seen.cycle = _params.path;\n            }\n            return seen.schema;\n        }\n        // initialize\n        const result = { schema: {}, count: 1, cycle: undefined, path: _params.path };\n        this.seen.set(schema, result);\n        // custom method overrides default behavior\n        const overrideSchema = schema._zod.toJSONSchema?.();\n        if (overrideSchema) {\n            result.schema = overrideSchema;\n        }\n        else {\n            const params = {\n                ..._params,\n                schemaPath: [..._params.schemaPath, schema],\n                path: _params.path,\n            };\n            const parent = schema._zod.parent;\n            if (parent) {\n                // schema was cloned from another schema\n                result.ref = parent;\n                this.process(parent, params);\n                this.seen.get(parent).isParent = true;\n            }\n            else {\n                const _json = result.schema;\n                switch (def.type) {\n                    case \"string\": {\n                        const json = _json;\n                        json.type = \"string\";\n                        const { minimum, maximum, format, patterns, contentEncoding } = schema._zod\n                            .bag;\n                        if (typeof minimum === \"number\")\n                            json.minLength = minimum;\n                        if (typeof maximum === \"number\")\n                            json.maxLength = maximum;\n                        // custom pattern overrides format\n                        if (format) {\n                            json.format = formatMap[format] ?? format;\n                            if (json.format === \"\")\n                                delete json.format; // empty format is not valid\n                        }\n                        if (contentEncoding)\n                            json.contentEncoding = contentEncoding;\n                        if (patterns && patterns.size > 0) {\n                            const regexes = [...patterns];\n                            if (regexes.length === 1)\n                                json.pattern = regexes[0].source;\n                            else if (regexes.length > 1) {\n                                result.schema.allOf = [\n                                    ...regexes.map((regex) => ({\n                                        ...(this.target === \"draft-7\" ? { type: \"string\" } : {}),\n                                        pattern: regex.source,\n                                    })),\n                                ];\n                            }\n                        }\n                        break;\n                    }\n                    case \"number\": {\n                        const json = _json;\n                        const { minimum, maximum, format, multipleOf, exclusiveMaximum, exclusiveMinimum } = schema._zod.bag;\n                        if (typeof format === \"string\" && format.includes(\"int\"))\n                            json.type = \"integer\";\n                        else\n                            json.type = \"number\";\n                        if (typeof exclusiveMinimum === \"number\")\n                            json.exclusiveMinimum = exclusiveMinimum;\n                        if (typeof minimum === \"number\") {\n                            json.minimum = minimum;\n                            if (typeof exclusiveMinimum === \"number\") {\n                                if (exclusiveMinimum >= minimum)\n                                    delete json.minimum;\n                                else\n                                    delete json.exclusiveMinimum;\n                            }\n                        }\n                        if (typeof exclusiveMaximum === \"number\")\n                            json.exclusiveMaximum = exclusiveMaximum;\n                        if (typeof maximum === \"number\") {\n                            json.maximum = maximum;\n                            if (typeof exclusiveMaximum === \"number\") {\n                                if (exclusiveMaximum <= maximum)\n                                    delete json.maximum;\n                                else\n                                    delete json.exclusiveMaximum;\n                            }\n                        }\n                        if (typeof multipleOf === \"number\")\n                            json.multipleOf = multipleOf;\n                        break;\n                    }\n                    case \"boolean\": {\n                        const json = _json;\n                        json.type = \"boolean\";\n                        break;\n                    }\n                    case \"bigint\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"BigInt cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"symbol\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Symbols cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"null\": {\n                        _json.type = \"null\";\n                        break;\n                    }\n                    case \"any\": {\n                        break;\n                    }\n                    case \"unknown\": {\n                        break;\n                    }\n                    case \"undefined\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Undefined cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"void\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Void cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"never\": {\n                        _json.not = {};\n                        break;\n                    }\n                    case \"date\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Date cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"array\": {\n                        const json = _json;\n                        const { minimum, maximum } = schema._zod.bag;\n                        if (typeof minimum === \"number\")\n                            json.minItems = minimum;\n                        if (typeof maximum === \"number\")\n                            json.maxItems = maximum;\n                        json.type = \"array\";\n                        json.items = this.process(def.element, { ...params, path: [...params.path, \"items\"] });\n                        break;\n                    }\n                    case \"object\": {\n                        const json = _json;\n                        json.type = \"object\";\n                        json.properties = {};\n                        const shape = def.shape; // params.shapeCache.get(schema)!;\n                        for (const key in shape) {\n                            json.properties[key] = this.process(shape[key], {\n                                ...params,\n                                path: [...params.path, \"properties\", key],\n                            });\n                        }\n                        // required keys\n                        const allKeys = new Set(Object.keys(shape));\n                        // const optionalKeys = new Set(def.optional);\n                        const requiredKeys = new Set([...allKeys].filter((key) => {\n                            const v = def.shape[key]._zod;\n                            if (this.io === \"input\") {\n                                return v.optin === undefined;\n                            }\n                            else {\n                                return v.optout === undefined;\n                            }\n                        }));\n                        if (requiredKeys.size > 0) {\n                            json.required = Array.from(requiredKeys);\n                        }\n                        // catchall\n                        if (def.catchall?._zod.def.type === \"never\") {\n                            // strict\n                            json.additionalProperties = false;\n                        }\n                        else if (!def.catchall) {\n                            // regular\n                            if (this.io === \"output\")\n                                json.additionalProperties = false;\n                        }\n                        else if (def.catchall) {\n                            json.additionalProperties = this.process(def.catchall, {\n                                ...params,\n                                path: [...params.path, \"additionalProperties\"],\n                            });\n                        }\n                        break;\n                    }\n                    case \"union\": {\n                        const json = _json;\n                        json.anyOf = def.options.map((x, i) => this.process(x, {\n                            ...params,\n                            path: [...params.path, \"anyOf\", i],\n                        }));\n                        break;\n                    }\n                    case \"intersection\": {\n                        const json = _json;\n                        const a = this.process(def.left, {\n                            ...params,\n                            path: [...params.path, \"allOf\", 0],\n                        });\n                        const b = this.process(def.right, {\n                            ...params,\n                            path: [...params.path, \"allOf\", 1],\n                        });\n                        const isSimpleIntersection = (val) => \"allOf\" in val && Object.keys(val).length === 1;\n                        const allOf = [\n                            ...(isSimpleIntersection(a) ? a.allOf : [a]),\n                            ...(isSimpleIntersection(b) ? b.allOf : [b]),\n                        ];\n                        json.allOf = allOf;\n                        break;\n                    }\n                    case \"tuple\": {\n                        const json = _json;\n                        json.type = \"array\";\n                        const prefixItems = def.items.map((x, i) => this.process(x, { ...params, path: [...params.path, \"prefixItems\", i] }));\n                        if (this.target === \"draft-2020-12\") {\n                            json.prefixItems = prefixItems;\n                        }\n                        else {\n                            json.items = prefixItems;\n                        }\n                        if (def.rest) {\n                            const rest = this.process(def.rest, {\n                                ...params,\n                                path: [...params.path, \"items\"],\n                            });\n                            if (this.target === \"draft-2020-12\") {\n                                json.items = rest;\n                            }\n                            else {\n                                json.additionalItems = rest;\n                            }\n                        }\n                        // additionalItems\n                        if (def.rest) {\n                            json.items = this.process(def.rest, {\n                                ...params,\n                                path: [...params.path, \"items\"],\n                            });\n                        }\n                        // length\n                        const { minimum, maximum } = schema._zod.bag;\n                        if (typeof minimum === \"number\")\n                            json.minItems = minimum;\n                        if (typeof maximum === \"number\")\n                            json.maxItems = maximum;\n                        break;\n                    }\n                    case \"record\": {\n                        const json = _json;\n                        json.type = \"object\";\n                        json.propertyNames = this.process(def.keyType, { ...params, path: [...params.path, \"propertyNames\"] });\n                        json.additionalProperties = this.process(def.valueType, {\n                            ...params,\n                            path: [...params.path, \"additionalProperties\"],\n                        });\n                        break;\n                    }\n                    case \"map\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Map cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"set\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Set cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"enum\": {\n                        const json = _json;\n                        const values = getEnumValues(def.entries);\n                        // Number enums can have both string and number values\n                        if (values.every((v) => typeof v === \"number\"))\n                            json.type = \"number\";\n                        if (values.every((v) => typeof v === \"string\"))\n                            json.type = \"string\";\n                        json.enum = values;\n                        break;\n                    }\n                    case \"literal\": {\n                        const json = _json;\n                        const vals = [];\n                        for (const val of def.values) {\n                            if (val === undefined) {\n                                if (this.unrepresentable === \"throw\") {\n                                    throw new Error(\"Literal `undefined` cannot be represented in JSON Schema\");\n                                }\n                                else {\n                                    // do not add to vals\n                                }\n                            }\n                            else if (typeof val === \"bigint\") {\n                                if (this.unrepresentable === \"throw\") {\n                                    throw new Error(\"BigInt literals cannot be represented in JSON Schema\");\n                                }\n                                else {\n                                    vals.push(Number(val));\n                                }\n                            }\n                            else {\n                                vals.push(val);\n                            }\n                        }\n                        if (vals.length === 0) {\n                            // do nothing (an undefined literal was stripped)\n                        }\n                        else if (vals.length === 1) {\n                            const val = vals[0];\n                            json.type = val === null ? \"null\" : typeof val;\n                            json.const = val;\n                        }\n                        else {\n                            if (vals.every((v) => typeof v === \"number\"))\n                                json.type = \"number\";\n                            if (vals.every((v) => typeof v === \"string\"))\n                                json.type = \"string\";\n                            if (vals.every((v) => typeof v === \"boolean\"))\n                                json.type = \"string\";\n                            if (vals.every((v) => v === null))\n                                json.type = \"null\";\n                            json.enum = vals;\n                        }\n                        break;\n                    }\n                    case \"file\": {\n                        const json = _json;\n                        const file = {\n                            type: \"string\",\n                            format: \"binary\",\n                            contentEncoding: \"binary\",\n                        };\n                        const { minimum, maximum, mime } = schema._zod.bag;\n                        if (minimum !== undefined)\n                            file.minLength = minimum;\n                        if (maximum !== undefined)\n                            file.maxLength = maximum;\n                        if (mime) {\n                            if (mime.length === 1) {\n                                file.contentMediaType = mime[0];\n                                Object.assign(json, file);\n                            }\n                            else {\n                                json.anyOf = mime.map((m) => {\n                                    const mFile = { ...file, contentMediaType: m };\n                                    return mFile;\n                                });\n                            }\n                        }\n                        else {\n                            Object.assign(json, file);\n                        }\n                        // if (this.unrepresentable === \"throw\") {\n                        //   throw new Error(\"File cannot be represented in JSON Schema\");\n                        // }\n                        break;\n                    }\n                    case \"transform\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Transforms cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"nullable\": {\n                        const inner = this.process(def.innerType, params);\n                        _json.anyOf = [inner, { type: \"null\" }];\n                        break;\n                    }\n                    case \"nonoptional\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        break;\n                    }\n                    case \"success\": {\n                        const json = _json;\n                        json.type = \"boolean\";\n                        break;\n                    }\n                    case \"default\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        _json.default = JSON.parse(JSON.stringify(def.defaultValue));\n                        break;\n                    }\n                    case \"prefault\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        if (this.io === \"input\")\n                            _json._prefault = JSON.parse(JSON.stringify(def.defaultValue));\n                        break;\n                    }\n                    case \"catch\": {\n                        // use conditionals\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        let catchValue;\n                        try {\n                            catchValue = def.catchValue(undefined);\n                        }\n                        catch {\n                            throw new Error(\"Dynamic catch values are not supported in JSON Schema\");\n                        }\n                        _json.default = catchValue;\n                        break;\n                    }\n                    case \"nan\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"NaN cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    case \"template_literal\": {\n                        const json = _json;\n                        const pattern = schema._zod.pattern;\n                        if (!pattern)\n                            throw new Error(\"Pattern not found in template literal\");\n                        json.type = \"string\";\n                        json.pattern = pattern.source;\n                        break;\n                    }\n                    case \"pipe\": {\n                        const innerType = this.io === \"input\" ? (def.in._zod.def.type === \"transform\" ? def.out : def.in) : def.out;\n                        this.process(innerType, params);\n                        result.ref = innerType;\n                        break;\n                    }\n                    case \"readonly\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        _json.readOnly = true;\n                        break;\n                    }\n                    // passthrough types\n                    case \"promise\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        break;\n                    }\n                    case \"optional\": {\n                        this.process(def.innerType, params);\n                        result.ref = def.innerType;\n                        break;\n                    }\n                    case \"lazy\": {\n                        const innerType = schema._zod.innerType;\n                        this.process(innerType, params);\n                        result.ref = innerType;\n                        break;\n                    }\n                    case \"custom\": {\n                        if (this.unrepresentable === \"throw\") {\n                            throw new Error(\"Custom types cannot be represented in JSON Schema\");\n                        }\n                        break;\n                    }\n                    default: {\n                        def;\n                    }\n                }\n            }\n        }\n        // metadata\n        const meta = this.metadataRegistry.get(schema);\n        if (meta)\n            Object.assign(result.schema, meta);\n        if (this.io === \"input\" && isTransforming(schema)) {\n            // examples/defaults only apply to output type of pipe\n            delete result.schema.examples;\n            delete result.schema.default;\n        }\n        // set prefault as default\n        if (this.io === \"input\" && result.schema._prefault)\n            (_a = result.schema).default ?? (_a.default = result.schema._prefault);\n        delete result.schema._prefault;\n        // pulling fresh from this.seen in case it was overwritten\n        const _result = this.seen.get(schema);\n        return _result.schema;\n    }\n    emit(schema, _params) {\n        const params = {\n            cycles: _params?.cycles ?? \"ref\",\n            reused: _params?.reused ?? \"inline\",\n            // unrepresentable: _params?.unrepresentable ?? \"throw\",\n            // uri: _params?.uri ?? ((id) => `${id}`),\n            external: _params?.external ?? undefined,\n        };\n        // iterate over seen map;\n        const root = this.seen.get(schema);\n        if (!root)\n            throw new Error(\"Unprocessed schema. This is a bug in Zod.\");\n        // initialize result with root schema fields\n        // Object.assign(result, seen.cached);\n        // returns a ref to the schema\n        // defId will be empty if the ref points to an external schema (or #)\n        const makeURI = (entry) => {\n            // comparing the seen objects because sometimes\n            // multiple schemas map to the same seen object.\n            // e.g. lazy\n            // external is configured\n            const defsSegment = this.target === \"draft-2020-12\" ? \"$defs\" : \"definitions\";\n            if (params.external) {\n                const externalId = params.external.registry.get(entry[0])?.id; // ?? \"__shared\";// `__schema${this.counter++}`;\n                // check if schema is in the external registry\n                const uriGenerator = params.external.uri ?? ((id) => id);\n                if (externalId) {\n                    return { ref: uriGenerator(externalId) };\n                }\n                // otherwise, add to __shared\n                const id = entry[1].defId ?? entry[1].schema.id ?? `schema${this.counter++}`;\n                entry[1].defId = id; // set defId so it will be reused if needed\n                return { defId: id, ref: `${uriGenerator(\"__shared\")}#/${defsSegment}/${id}` };\n            }\n            if (entry[1] === root) {\n                return { ref: \"#\" };\n            }\n            // self-contained schema\n            const uriPrefix = `#`;\n            const defUriPrefix = `${uriPrefix}/${defsSegment}/`;\n            const defId = entry[1].schema.id ?? `__schema${this.counter++}`;\n            return { defId, ref: defUriPrefix + defId };\n        };\n        // stored cached version in `def` property\n        // remove all properties, set $ref\n        const extractToDef = (entry) => {\n            // if the schema is already a reference, do not extract it\n            if (entry[1].schema.$ref) {\n                return;\n            }\n            const seen = entry[1];\n            const { ref, defId } = makeURI(entry);\n            seen.def = { ...seen.schema };\n            // defId won't be set if the schema is a reference to an external schema\n            if (defId)\n                seen.defId = defId;\n            // wipe away all properties except $ref\n            const schema = seen.schema;\n            for (const key in schema) {\n                delete schema[key];\n            }\n            schema.$ref = ref;\n        };\n        // throw on cycles\n        // break cycles\n        if (params.cycles === \"throw\") {\n            for (const entry of this.seen.entries()) {\n                const seen = entry[1];\n                if (seen.cycle) {\n                    throw new Error(\"Cycle detected: \" +\n                        `#/${seen.cycle?.join(\"/\")}/<root>` +\n                        '\\n\\nSet the `cycles` parameter to `\"ref\"` to resolve cyclical schemas with defs.');\n                }\n            }\n        }\n        // extract schemas into $defs\n        for (const entry of this.seen.entries()) {\n            const seen = entry[1];\n            // convert root schema to # $ref\n            if (schema === entry[0]) {\n                extractToDef(entry); // this has special handling for the root schema\n                continue;\n            }\n            // extract schemas that are in the external registry\n            if (params.external) {\n                const ext = params.external.registry.get(entry[0])?.id;\n                if (schema !== entry[0] && ext) {\n                    extractToDef(entry);\n                    continue;\n                }\n            }\n            // extract schemas with `id` meta\n            const id = this.metadataRegistry.get(entry[0])?.id;\n            if (id) {\n                extractToDef(entry);\n                continue;\n            }\n            // break cycles\n            if (seen.cycle) {\n                // any\n                extractToDef(entry);\n                continue;\n            }\n            // extract reused schemas\n            if (seen.count > 1) {\n                if (params.reused === \"ref\") {\n                    extractToDef(entry);\n                    // biome-ignore lint:\n                    continue;\n                }\n            }\n        }\n        // flatten _refs\n        const flattenRef = (zodSchema, params) => {\n            const seen = this.seen.get(zodSchema);\n            const schema = seen.def ?? seen.schema;\n            const _cached = { ...schema };\n            // already seen\n            if (seen.ref === null) {\n                return;\n            }\n            // flatten ref if defined\n            const ref = seen.ref;\n            seen.ref = null; // prevent recursion\n            if (ref) {\n                flattenRef(ref, params);\n                // merge referenced schema into current\n                const refSchema = this.seen.get(ref).schema;\n                if (refSchema.$ref && params.target === \"draft-7\") {\n                    schema.allOf = schema.allOf ?? [];\n                    schema.allOf.push(refSchema);\n                }\n                else {\n                    Object.assign(schema, refSchema);\n                    Object.assign(schema, _cached); // prevent overwriting any fields in the original schema\n                }\n            }\n            // execute overrides\n            if (!seen.isParent)\n                this.override({\n                    zodSchema: zodSchema,\n                    jsonSchema: schema,\n                    path: seen.path ?? [],\n                });\n        };\n        for (const entry of [...this.seen.entries()].reverse()) {\n            flattenRef(entry[0], { target: this.target });\n        }\n        const result = {};\n        if (this.target === \"draft-2020-12\") {\n            result.$schema = \"https://json-schema.org/draft/2020-12/schema\";\n        }\n        else if (this.target === \"draft-7\") {\n            result.$schema = \"http://json-schema.org/draft-07/schema#\";\n        }\n        else {\n            console.warn(`Invalid target: ${this.target}`);\n        }\n        if (params.external?.uri) {\n            const id = params.external.registry.get(schema)?.id;\n            if (!id)\n                throw new Error(\"Schema is missing an `id` property\");\n            result.$id = params.external.uri(id);\n        }\n        Object.assign(result, root.def);\n        // build defs object\n        const defs = params.external?.defs ?? {};\n        for (const entry of this.seen.entries()) {\n            const seen = entry[1];\n            if (seen.def && seen.defId) {\n                defs[seen.defId] = seen.def;\n            }\n        }\n        // set definitions in result\n        if (params.external) {\n        }\n        else {\n            if (Object.keys(defs).length > 0) {\n                if (this.target === \"draft-2020-12\") {\n                    result.$defs = defs;\n                }\n                else {\n                    result.definitions = defs;\n                }\n            }\n        }\n        try {\n            // this \"finalizes\" this schema and ensures all cycles are removed\n            // each call to .emit() is functionally independent\n            // though the seen map is shared\n            return JSON.parse(JSON.stringify(result));\n        }\n        catch (_err) {\n            throw new Error(\"Error converting schema to JSON.\");\n        }\n    }\n}\nexport function toJSONSchema(input, _params) {\n    if (input instanceof $ZodRegistry) {\n        const gen = new JSONSchemaGenerator(_params);\n        const defs = {};\n        for (const entry of input._idmap.entries()) {\n            const [_, schema] = entry;\n            gen.process(schema);\n        }\n        const schemas = {};\n        const external = {\n            registry: input,\n            uri: _params?.uri,\n            defs,\n        };\n        for (const entry of input._idmap.entries()) {\n            const [key, schema] = entry;\n            schemas[key] = gen.emit(schema, {\n                ..._params,\n                external,\n            });\n        }\n        if (Object.keys(defs).length > 0) {\n            const defsSegment = gen.target === \"draft-2020-12\" ? \"$defs\" : \"definitions\";\n            schemas.__shared = {\n                [defsSegment]: defs,\n            };\n        }\n        return { schemas };\n    }\n    const gen = new JSONSchemaGenerator(_params);\n    gen.process(input);\n    return gen.emit(input, _params);\n}\nfunction isTransforming(_schema, _ctx) {\n    const ctx = _ctx ?? { seen: new Set() };\n    if (ctx.seen.has(_schema))\n        return false;\n    ctx.seen.add(_schema);\n    const schema = _schema;\n    const def = schema._zod.def;\n    switch (def.type) {\n        case \"string\":\n        case \"number\":\n        case \"bigint\":\n        case \"boolean\":\n        case \"date\":\n        case \"symbol\":\n        case \"undefined\":\n        case \"null\":\n        case \"any\":\n        case \"unknown\":\n        case \"never\":\n        case \"void\":\n        case \"literal\":\n        case \"enum\":\n        case \"nan\":\n        case \"file\":\n        case \"template_literal\":\n            return false;\n        case \"array\": {\n            return isTransforming(def.element, ctx);\n        }\n        case \"object\": {\n            for (const key in def.shape) {\n                if (isTransforming(def.shape[key], ctx))\n                    return true;\n            }\n            return false;\n        }\n        case \"union\": {\n            for (const option of def.options) {\n                if (isTransforming(option, ctx))\n                    return true;\n            }\n            return false;\n        }\n        case \"intersection\": {\n            return isTransforming(def.left, ctx) || isTransforming(def.right, ctx);\n        }\n        case \"tuple\": {\n            for (const item of def.items) {\n                if (isTransforming(item, ctx))\n                    return true;\n            }\n            if (def.rest && isTransforming(def.rest, ctx))\n                return true;\n            return false;\n        }\n        case \"record\": {\n            return isTransforming(def.keyType, ctx) || isTransforming(def.valueType, ctx);\n        }\n        case \"map\": {\n            return isTransforming(def.keyType, ctx) || isTransforming(def.valueType, ctx);\n        }\n        case \"set\": {\n            return isTransforming(def.valueType, ctx);\n        }\n        // inner types\n        case \"promise\":\n        case \"optional\":\n        case \"nonoptional\":\n        case \"nullable\":\n        case \"readonly\":\n            return isTransforming(def.innerType, ctx);\n        case \"lazy\":\n            return isTransforming(def.getter(), ctx);\n        case \"default\": {\n            return isTransforming(def.innerType, ctx);\n        }\n        case \"prefault\": {\n            return isTransforming(def.innerType, ctx);\n        }\n        case \"custom\": {\n            return false;\n        }\n        case \"transform\": {\n            return true;\n        }\n        case \"pipe\": {\n            return isTransforming(def.in, ctx) || isTransforming(def.out, ctx);\n        }\n        case \"success\": {\n            return false;\n        }\n        case \"catch\": {\n            return false;\n        }\n        default:\n            def;\n    }\n    throw new Error(`Unknown schema type: ${def.type}`);\n}\n", "export {};\n", "export * from \"./core.js\";\nexport * from \"./parse.js\";\nexport * from \"./errors.js\";\nexport * from \"./schemas.js\";\nexport * from \"./checks.js\";\nexport * from \"./versions.js\";\nexport * as util from \"./util.js\";\nexport * as regexes from \"./regexes.js\";\nexport * as locales from \"../locales/index.js\";\nexport * from \"./registries.js\";\nexport * from \"./doc.js\";\nexport * from \"./function.js\";\nexport * from \"./api.js\";\nexport * from \"./to-json-schema.js\";\nexport * as JSONSchema from \"./json-schema.js\";\n", "export { _lt as lt, _lte as lte, _gt as gt, _gte as gte, _positive as positive, _negative as negative, _nonpositive as nonpositive, _nonnegative as nonnegative, _multipleOf as multipleOf, _maxSize as maxSize, _minSize as minSize, _size as size, _maxLength as maxLength, _minLength as minLength, _length as length, _regex as regex, _lowercase as lowercase, _uppercase as uppercase, _includes as includes, _startsWith as startsWith, _endsWith as endsWith, _property as property, _mime as mime, _overwrite as overwrite, _normalize as normalize, _trim as trim, _toLowerCase as toLowerCase, _toUpperCase as toUpperCase, } from \"../core/index.js\";\n", "import * as core from \"../core/index.js\";\nimport * as schemas from \"./schemas.js\";\nexport const ZodISODateTime = /*@__PURE__*/ core.$constructor(\"ZodISODateTime\", (inst, def) => {\n    core.$ZodISODateTime.init(inst, def);\n    schemas.ZodStringFormat.init(inst, def);\n});\nexport function datetime(params) {\n    return core._isoDateTime(ZodISODateTime, params);\n}\nexport const ZodISODate = /*@__PURE__*/ core.$constructor(\"ZodISODate\", (inst, def) => {\n    core.$ZodISODate.init(inst, def);\n    schemas.ZodStringFormat.init(inst, def);\n});\nexport function date(params) {\n    return core._isoDate(ZodISODate, params);\n}\nexport const ZodISOTime = /*@__PURE__*/ core.$constructor(\"ZodISOTime\", (inst, def) => {\n    core.$ZodISOTime.init(inst, def);\n    schemas.ZodStringFormat.init(inst, def);\n});\nexport function time(params) {\n    return core._isoTime(ZodISOTime, params);\n}\nexport const ZodISODuration = /*@__PURE__*/ core.$constructor(\"ZodISODuration\", (inst, def) => {\n    core.$ZodISODuration.init(inst, def);\n    schemas.ZodStringFormat.init(inst, def);\n});\nexport function duration(params) {\n    return core._isoDuration(ZodISODuration, params);\n}\n", "import * as core from \"../core/index.js\";\nimport { $ZodError } from \"../core/index.js\";\nconst initializer = (inst, issues) => {\n    $ZodError.init(inst, issues);\n    inst.name = \"ZodError\";\n    Object.defineProperties(inst, {\n        format: {\n            value: (mapper) => core.formatError(inst, mapper),\n            // enumerable: false,\n        },\n        flatten: {\n            value: (mapper) => core.flattenError(inst, mapper),\n            // enumerable: false,\n        },\n        addIssue: {\n            value: (issue) => inst.issues.push(issue),\n            // enumerable: false,\n        },\n        addIssues: {\n            value: (issues) => inst.issues.push(...issues),\n            // enumerable: false,\n        },\n        isEmpty: {\n            get() {\n                return inst.issues.length === 0;\n            },\n            // enumerable: false,\n        },\n    });\n    // Object.defineProperty(inst, \"isEmpty\", {\n    //   get() {\n    //     return inst.issues.length === 0;\n    //   },\n    // });\n};\nexport const ZodError = core.$constructor(\"ZodError\", initializer);\nexport const ZodRealError = core.$constructor(\"ZodError\", initializer, {\n    Parent: Error,\n});\n// /** @deprecated Use `z.core.$ZodErrorMapCtx` instead. */\n// export type ErrorMapCtx = core.$ZodErrorMapCtx;\n", "import * as core from \"../core/index.js\";\nimport { ZodRealError } from \"./errors.js\";\nexport const parse = /* @__PURE__ */ core._parse(ZodRealError);\nexport const parseAsync = /* @__PURE__ */ core._parseAsync(ZodRealError);\nexport const safeParse = /* @__PURE__ */ core._safeParse(ZodRealError);\nexport const safeParseAsync = /* @__PURE__ */ core._safeParseAsync(ZodRealError);\n", "import * as core from \"../core/index.js\";\nimport { util } from \"../core/index.js\";\nimport * as checks from \"./checks.js\";\nimport * as iso from \"./iso.js\";\nimport * as parse from \"./parse.js\";\nexport const ZodType = /*@__PURE__*/ core.$constructor(\"ZodType\", (inst, def) => {\n    core.$ZodType.init(inst, def);\n    inst.def = def;\n    Object.defineProperty(inst, \"_def\", { value: def });\n    // base methods\n    inst.check = (...checks) => {\n        return inst.clone({\n            ...def,\n            checks: [\n                ...(def.checks ?? []),\n                ...checks.map((ch) => typeof ch === \"function\" ? { _zod: { check: ch, def: { check: \"custom\" }, onattach: [] } } : ch),\n            ],\n        }\n        // { parent: true }\n        );\n    };\n    inst.clone = (def, params) => core.clone(inst, def, params);\n    inst.brand = () => inst;\n    inst.register = ((reg, meta) => {\n        reg.add(inst, meta);\n        return inst;\n    });\n    // parsing\n    inst.parse = (data, params) => parse.parse(inst, data, params, { callee: inst.parse });\n    inst.safeParse = (data, params) => parse.safeParse(inst, data, params);\n    inst.parseAsync = async (data, params) => parse.parseAsync(inst, data, params, { callee: inst.parseAsync });\n    inst.safeParseAsync = async (data, params) => parse.safeParseAsync(inst, data, params);\n    inst.spa = inst.safeParseAsync;\n    // refinements\n    inst.refine = (check, params) => inst.check(refine(check, params));\n    inst.superRefine = (refinement) => inst.check(superRefine(refinement));\n    inst.overwrite = (fn) => inst.check(checks.overwrite(fn));\n    // wrappers\n    inst.optional = () => optional(inst);\n    inst.nullable = () => nullable(inst);\n    inst.nullish = () => optional(nullable(inst));\n    inst.nonoptional = (params) => nonoptional(inst, params);\n    inst.array = () => array(inst);\n    inst.or = (arg) => union([inst, arg]);\n    inst.and = (arg) => intersection(inst, arg);\n    inst.transform = (tx) => pipe(inst, transform(tx));\n    inst.default = (def) => _default(inst, def);\n    inst.prefault = (def) => prefault(inst, def);\n    // inst.coalesce = (def, params) => coalesce(inst, def, params);\n    inst.catch = (params) => _catch(inst, params);\n    inst.pipe = (target) => pipe(inst, target);\n    inst.readonly = () => readonly(inst);\n    // meta\n    inst.describe = (description) => {\n        const cl = inst.clone();\n        core.globalRegistry.add(cl, { description });\n        return cl;\n    };\n    Object.defineProperty(inst, \"description\", {\n        get() {\n            return core.globalRegistry.get(inst)?.description;\n        },\n        configurable: true,\n    });\n    inst.meta = (...args) => {\n        if (args.length === 0) {\n            return core.globalRegistry.get(inst);\n        }\n        const cl = inst.clone();\n        core.globalRegistry.add(cl, args[0]);\n        return cl;\n    };\n    // helpers\n    inst.isOptional = () => inst.safeParse(undefined).success;\n    inst.isNullable = () => inst.safeParse(null).success;\n    return inst;\n});\n/** @internal */\nexport const _ZodString = /*@__PURE__*/ core.$constructor(\"_ZodString\", (inst, def) => {\n    core.$ZodString.init(inst, def);\n    ZodType.init(inst, def);\n    const bag = inst._zod.bag;\n    inst.format = bag.format ?? null;\n    inst.minLength = bag.minimum ?? null;\n    inst.maxLength = bag.maximum ?? null;\n    // validations\n    inst.regex = (...args) => inst.check(checks.regex(...args));\n    inst.includes = (...args) => inst.check(checks.includes(...args));\n    inst.startsWith = (...args) => inst.check(checks.startsWith(...args));\n    inst.endsWith = (...args) => inst.check(checks.endsWith(...args));\n    inst.min = (...args) => inst.check(checks.minLength(...args));\n    inst.max = (...args) => inst.check(checks.maxLength(...args));\n    inst.length = (...args) => inst.check(checks.length(...args));\n    inst.nonempty = (...args) => inst.check(checks.minLength(1, ...args));\n    inst.lowercase = (params) => inst.check(checks.lowercase(params));\n    inst.uppercase = (params) => inst.check(checks.uppercase(params));\n    // transforms\n    inst.trim = () => inst.check(checks.trim());\n    inst.normalize = (...args) => inst.check(checks.normalize(...args));\n    inst.toLowerCase = () => inst.check(checks.toLowerCase());\n    inst.toUpperCase = () => inst.check(checks.toUpperCase());\n});\nexport const ZodString = /*@__PURE__*/ core.$constructor(\"ZodString\", (inst, def) => {\n    core.$ZodString.init(inst, def);\n    _ZodString.init(inst, def);\n    inst.email = (params) => inst.check(core._email(ZodEmail, params));\n    inst.url = (params) => inst.check(core._url(ZodURL, params));\n    inst.jwt = (params) => inst.check(core._jwt(ZodJWT, params));\n    inst.emoji = (params) => inst.check(core._emoji(ZodEmoji, params));\n    inst.guid = (params) => inst.check(core._guid(ZodGUID, params));\n    inst.uuid = (params) => inst.check(core._uuid(ZodUUID, params));\n    inst.uuidv4 = (params) => inst.check(core._uuidv4(ZodUUID, params));\n    inst.uuidv6 = (params) => inst.check(core._uuidv6(ZodUUID, params));\n    inst.uuidv7 = (params) => inst.check(core._uuidv7(ZodUUID, params));\n    inst.nanoid = (params) => inst.check(core._nanoid(ZodNanoID, params));\n    inst.guid = (params) => inst.check(core._guid(ZodGUID, params));\n    inst.cuid = (params) => inst.check(core._cuid(ZodCUID, params));\n    inst.cuid2 = (params) => inst.check(core._cuid2(ZodCUID2, params));\n    inst.ulid = (params) => inst.check(core._ulid(ZodULID, params));\n    inst.base64 = (params) => inst.check(core._base64(ZodBase64, params));\n    inst.base64url = (params) => inst.check(core._base64url(ZodBase64URL, params));\n    inst.xid = (params) => inst.check(core._xid(ZodXID, params));\n    inst.ksuid = (params) => inst.check(core._ksuid(ZodKSUID, params));\n    inst.ipv4 = (params) => inst.check(core._ipv4(ZodIPv4, params));\n    inst.ipv6 = (params) => inst.check(core._ipv6(ZodIPv6, params));\n    inst.cidrv4 = (params) => inst.check(core._cidrv4(ZodCIDRv4, params));\n    inst.cidrv6 = (params) => inst.check(core._cidrv6(ZodCIDRv6, params));\n    inst.e164 = (params) => inst.check(core._e164(ZodE164, params));\n    // iso\n    inst.datetime = (params) => inst.check(iso.datetime(params));\n    inst.date = (params) => inst.check(iso.date(params));\n    inst.time = (params) => inst.check(iso.time(params));\n    inst.duration = (params) => inst.check(iso.duration(params));\n});\nexport function string(params) {\n    return core._string(ZodString, params);\n}\nexport const ZodStringFormat = /*@__PURE__*/ core.$constructor(\"ZodStringFormat\", (inst, def) => {\n    core.$ZodStringFormat.init(inst, def);\n    _ZodString.init(inst, def);\n});\nexport const ZodEmail = /*@__PURE__*/ core.$constructor(\"ZodEmail\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodEmail.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function email(params) {\n    return core._email(ZodEmail, params);\n}\nexport const ZodGUID = /*@__PURE__*/ core.$constructor(\"ZodGUID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodGUID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function guid(params) {\n    return core._guid(ZodGUID, params);\n}\nexport const ZodUUID = /*@__PURE__*/ core.$constructor(\"ZodUUID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodUUID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function uuid(params) {\n    return core._uuid(ZodUUID, params);\n}\nexport function uuidv4(params) {\n    return core._uuidv4(ZodUUID, params);\n}\n// ZodUUIDv6\nexport function uuidv6(params) {\n    return core._uuidv6(ZodUUID, params);\n}\n// ZodUUIDv7\nexport function uuidv7(params) {\n    return core._uuidv7(ZodUUID, params);\n}\nexport const ZodURL = /*@__PURE__*/ core.$constructor(\"ZodURL\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodURL.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function url(params) {\n    return core._url(ZodURL, params);\n}\nexport const ZodEmoji = /*@__PURE__*/ core.$constructor(\"ZodEmoji\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodEmoji.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function emoji(params) {\n    return core._emoji(ZodEmoji, params);\n}\nexport const ZodNanoID = /*@__PURE__*/ core.$constructor(\"ZodNanoID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodNanoID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function nanoid(params) {\n    return core._nanoid(ZodNanoID, params);\n}\nexport const ZodCUID = /*@__PURE__*/ core.$constructor(\"ZodCUID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodCUID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function cuid(params) {\n    return core._cuid(ZodCUID, params);\n}\nexport const ZodCUID2 = /*@__PURE__*/ core.$constructor(\"ZodCUID2\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodCUID2.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function cuid2(params) {\n    return core._cuid2(ZodCUID2, params);\n}\nexport const ZodULID = /*@__PURE__*/ core.$constructor(\"ZodULID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodULID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function ulid(params) {\n    return core._ulid(ZodULID, params);\n}\nexport const ZodXID = /*@__PURE__*/ core.$constructor(\"ZodXID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodXID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function xid(params) {\n    return core._xid(ZodXID, params);\n}\nexport const ZodKSUID = /*@__PURE__*/ core.$constructor(\"ZodKSUID\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodKSUID.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function ksuid(params) {\n    return core._ksuid(ZodKSUID, params);\n}\nexport const ZodIPv4 = /*@__PURE__*/ core.$constructor(\"ZodIPv4\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodIPv4.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function ipv4(params) {\n    return core._ipv4(ZodIPv4, params);\n}\nexport const ZodIPv6 = /*@__PURE__*/ core.$constructor(\"ZodIPv6\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodIPv6.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function ipv6(params) {\n    return core._ipv6(ZodIPv6, params);\n}\nexport const ZodCIDRv4 = /*@__PURE__*/ core.$constructor(\"ZodCIDRv4\", (inst, def) => {\n    core.$ZodCIDRv4.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function cidrv4(params) {\n    return core._cidrv4(ZodCIDRv4, params);\n}\nexport const ZodCIDRv6 = /*@__PURE__*/ core.$constructor(\"ZodCIDRv6\", (inst, def) => {\n    core.$ZodCIDRv6.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function cidrv6(params) {\n    return core._cidrv6(ZodCIDRv6, params);\n}\nexport const ZodBase64 = /*@__PURE__*/ core.$constructor(\"ZodBase64\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodBase64.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function base64(params) {\n    return core._base64(ZodBase64, params);\n}\nexport const ZodBase64URL = /*@__PURE__*/ core.$constructor(\"ZodBase64URL\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodBase64URL.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function base64url(params) {\n    return core._base64url(ZodBase64URL, params);\n}\nexport const ZodE164 = /*@__PURE__*/ core.$constructor(\"ZodE164\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodE164.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function e164(params) {\n    return core._e164(ZodE164, params);\n}\nexport const ZodJWT = /*@__PURE__*/ core.$constructor(\"ZodJWT\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodJWT.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function jwt(params) {\n    return core._jwt(ZodJWT, params);\n}\nexport const ZodCustomStringFormat = /*@__PURE__*/ core.$constructor(\"ZodCustomStringFormat\", (inst, def) => {\n    // ZodStringFormat.init(inst, def);\n    core.$ZodCustomStringFormat.init(inst, def);\n    ZodStringFormat.init(inst, def);\n});\nexport function stringFormat(format, fnOrRegex, _params = {}) {\n    return core._stringFormat(ZodCustomStringFormat, format, fnOrRegex, _params);\n}\nexport const ZodNumber = /*@__PURE__*/ core.$constructor(\"ZodNumber\", (inst, def) => {\n    core.$ZodNumber.init(inst, def);\n    ZodType.init(inst, def);\n    inst.gt = (value, params) => inst.check(checks.gt(value, params));\n    inst.gte = (value, params) => inst.check(checks.gte(value, params));\n    inst.min = (value, params) => inst.check(checks.gte(value, params));\n    inst.lt = (value, params) => inst.check(checks.lt(value, params));\n    inst.lte = (value, params) => inst.check(checks.lte(value, params));\n    inst.max = (value, params) => inst.check(checks.lte(value, params));\n    inst.int = (params) => inst.check(int(params));\n    inst.safe = (params) => inst.check(int(params));\n    inst.positive = (params) => inst.check(checks.gt(0, params));\n    inst.nonnegative = (params) => inst.check(checks.gte(0, params));\n    inst.negative = (params) => inst.check(checks.lt(0, params));\n    inst.nonpositive = (params) => inst.check(checks.lte(0, params));\n    inst.multipleOf = (value, params) => inst.check(checks.multipleOf(value, params));\n    inst.step = (value, params) => inst.check(checks.multipleOf(value, params));\n    // inst.finite = (params) => inst.check(core.finite(params));\n    inst.finite = () => inst;\n    const bag = inst._zod.bag;\n    inst.minValue =\n        Math.max(bag.minimum ?? Number.NEGATIVE_INFINITY, bag.exclusiveMinimum ?? Number.NEGATIVE_INFINITY) ?? null;\n    inst.maxValue =\n        Math.min(bag.maximum ?? Number.POSITIVE_INFINITY, bag.exclusiveMaximum ?? Number.POSITIVE_INFINITY) ?? null;\n    inst.isInt = (bag.format ?? \"\").includes(\"int\") || Number.isSafeInteger(bag.multipleOf ?? 0.5);\n    inst.isFinite = true;\n    inst.format = bag.format ?? null;\n});\nexport function number(params) {\n    return core._number(ZodNumber, params);\n}\nexport const ZodNumberFormat = /*@__PURE__*/ core.$constructor(\"ZodNumberFormat\", (inst, def) => {\n    core.$ZodNumberFormat.init(inst, def);\n    ZodNumber.init(inst, def);\n});\nexport function int(params) {\n    return core._int(ZodNumberFormat, params);\n}\nexport function float32(params) {\n    return core._float32(ZodNumberFormat, params);\n}\nexport function float64(params) {\n    return core._float64(ZodNumberFormat, params);\n}\nexport function int32(params) {\n    return core._int32(ZodNumberFormat, params);\n}\nexport function uint32(params) {\n    return core._uint32(ZodNumberFormat, params);\n}\nexport const ZodBoolean = /*@__PURE__*/ core.$constructor(\"ZodBoolean\", (inst, def) => {\n    core.$ZodBoolean.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function boolean(params) {\n    return core._boolean(ZodBoolean, params);\n}\nexport const ZodBigInt = /*@__PURE__*/ core.$constructor(\"ZodBigInt\", (inst, def) => {\n    core.$ZodBigInt.init(inst, def);\n    ZodType.init(inst, def);\n    inst.gte = (value, params) => inst.check(checks.gte(value, params));\n    inst.min = (value, params) => inst.check(checks.gte(value, params));\n    inst.gt = (value, params) => inst.check(checks.gt(value, params));\n    inst.gte = (value, params) => inst.check(checks.gte(value, params));\n    inst.min = (value, params) => inst.check(checks.gte(value, params));\n    inst.lt = (value, params) => inst.check(checks.lt(value, params));\n    inst.lte = (value, params) => inst.check(checks.lte(value, params));\n    inst.max = (value, params) => inst.check(checks.lte(value, params));\n    inst.positive = (params) => inst.check(checks.gt(BigInt(0), params));\n    inst.negative = (params) => inst.check(checks.lt(BigInt(0), params));\n    inst.nonpositive = (params) => inst.check(checks.lte(BigInt(0), params));\n    inst.nonnegative = (params) => inst.check(checks.gte(BigInt(0), params));\n    inst.multipleOf = (value, params) => inst.check(checks.multipleOf(value, params));\n    const bag = inst._zod.bag;\n    inst.minValue = bag.minimum ?? null;\n    inst.maxValue = bag.maximum ?? null;\n    inst.format = bag.format ?? null;\n});\nexport function bigint(params) {\n    return core._bigint(ZodBigInt, params);\n}\nexport const ZodBigIntFormat = /*@__PURE__*/ core.$constructor(\"ZodBigIntFormat\", (inst, def) => {\n    core.$ZodBigIntFormat.init(inst, def);\n    ZodBigInt.init(inst, def);\n});\n// int64\nexport function int64(params) {\n    return core._int64(ZodBigIntFormat, params);\n}\n// uint64\nexport function uint64(params) {\n    return core._uint64(ZodBigIntFormat, params);\n}\nexport const ZodSymbol = /*@__PURE__*/ core.$constructor(\"ZodSymbol\", (inst, def) => {\n    core.$ZodSymbol.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function symbol(params) {\n    return core._symbol(ZodSymbol, params);\n}\nexport const ZodUndefined = /*@__PURE__*/ core.$constructor(\"ZodUndefined\", (inst, def) => {\n    core.$ZodUndefined.init(inst, def);\n    ZodType.init(inst, def);\n});\nfunction _undefined(params) {\n    return core._undefined(ZodUndefined, params);\n}\nexport { _undefined as undefined };\nexport const ZodNull = /*@__PURE__*/ core.$constructor(\"ZodNull\", (inst, def) => {\n    core.$ZodNull.init(inst, def);\n    ZodType.init(inst, def);\n});\nfunction _null(params) {\n    return core._null(ZodNull, params);\n}\nexport { _null as null };\nexport const ZodAny = /*@__PURE__*/ core.$constructor(\"ZodAny\", (inst, def) => {\n    core.$ZodAny.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function any() {\n    return core._any(ZodAny);\n}\nexport const ZodUnknown = /*@__PURE__*/ core.$constructor(\"ZodUnknown\", (inst, def) => {\n    core.$ZodUnknown.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function unknown() {\n    return core._unknown(ZodUnknown);\n}\nexport const ZodNever = /*@__PURE__*/ core.$constructor(\"ZodNever\", (inst, def) => {\n    core.$ZodNever.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function never(params) {\n    return core._never(ZodNever, params);\n}\nexport const ZodVoid = /*@__PURE__*/ core.$constructor(\"ZodVoid\", (inst, def) => {\n    core.$ZodVoid.init(inst, def);\n    ZodType.init(inst, def);\n});\nfunction _void(params) {\n    return core._void(ZodVoid, params);\n}\nexport { _void as void };\nexport const ZodDate = /*@__PURE__*/ core.$constructor(\"ZodDate\", (inst, def) => {\n    core.$ZodDate.init(inst, def);\n    ZodType.init(inst, def);\n    inst.min = (value, params) => inst.check(checks.gte(value, params));\n    inst.max = (value, params) => inst.check(checks.lte(value, params));\n    const c = inst._zod.bag;\n    inst.minDate = c.minimum ? new Date(c.minimum) : null;\n    inst.maxDate = c.maximum ? new Date(c.maximum) : null;\n});\nexport function date(params) {\n    return core._date(ZodDate, params);\n}\nexport const ZodArray = /*@__PURE__*/ core.$constructor(\"ZodArray\", (inst, def) => {\n    core.$ZodArray.init(inst, def);\n    ZodType.init(inst, def);\n    inst.element = def.element;\n    inst.min = (minLength, params) => inst.check(checks.minLength(minLength, params));\n    inst.nonempty = (params) => inst.check(checks.minLength(1, params));\n    inst.max = (maxLength, params) => inst.check(checks.maxLength(maxLength, params));\n    inst.length = (len, params) => inst.check(checks.length(len, params));\n    inst.unwrap = () => inst.element;\n});\nexport function array(element, params) {\n    return core._array(ZodArray, element, params);\n}\n// .keyof\nexport function keyof(schema) {\n    const shape = schema._zod.def.shape;\n    return literal(Object.keys(shape));\n}\nexport const ZodObject = /*@__PURE__*/ core.$constructor(\"ZodObject\", (inst, def) => {\n    core.$ZodObject.init(inst, def);\n    ZodType.init(inst, def);\n    util.defineLazy(inst, \"shape\", () => def.shape);\n    inst.keyof = () => _enum(Object.keys(inst._zod.def.shape));\n    inst.catchall = (catchall) => inst.clone({ ...inst._zod.def, catchall: catchall });\n    inst.passthrough = () => inst.clone({ ...inst._zod.def, catchall: unknown() });\n    // inst.nonstrict = () => inst.clone({ ...inst._zod.def, catchall: api.unknown() });\n    inst.loose = () => inst.clone({ ...inst._zod.def, catchall: unknown() });\n    inst.strict = () => inst.clone({ ...inst._zod.def, catchall: never() });\n    inst.strip = () => inst.clone({ ...inst._zod.def, catchall: undefined });\n    inst.extend = (incoming) => {\n        return util.extend(inst, incoming);\n    };\n    inst.merge = (other) => util.merge(inst, other);\n    inst.pick = (mask) => util.pick(inst, mask);\n    inst.omit = (mask) => util.omit(inst, mask);\n    inst.partial = (...args) => util.partial(ZodOptional, inst, args[0]);\n    inst.required = (...args) => util.required(ZodNonOptional, inst, args[0]);\n});\nexport function object(shape, params) {\n    const def = {\n        type: \"object\",\n        get shape() {\n            util.assignProp(this, \"shape\", { ...shape });\n            return this.shape;\n        },\n        ...util.normalizeParams(params),\n    };\n    return new ZodObject(def);\n}\n// strictObject\nexport function strictObject(shape, params) {\n    return new ZodObject({\n        type: \"object\",\n        get shape() {\n            util.assignProp(this, \"shape\", { ...shape });\n            return this.shape;\n        },\n        catchall: never(),\n        ...util.normalizeParams(params),\n    });\n}\n// looseObject\nexport function looseObject(shape, params) {\n    return new ZodObject({\n        type: \"object\",\n        get shape() {\n            util.assignProp(this, \"shape\", { ...shape });\n            return this.shape;\n        },\n        catchall: unknown(),\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodUnion = /*@__PURE__*/ core.$constructor(\"ZodUnion\", (inst, def) => {\n    core.$ZodUnion.init(inst, def);\n    ZodType.init(inst, def);\n    inst.options = def.options;\n});\nexport function union(options, params) {\n    return new ZodUnion({\n        type: \"union\",\n        options: options,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodDiscriminatedUnion = /*@__PURE__*/ core.$constructor(\"ZodDiscriminatedUnion\", (inst, def) => {\n    ZodUnion.init(inst, def);\n    core.$ZodDiscriminatedUnion.init(inst, def);\n});\nexport function discriminatedUnion(discriminator, options, params) {\n    // const [options, params] = args;\n    return new ZodDiscriminatedUnion({\n        type: \"union\",\n        options,\n        discriminator,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodIntersection = /*@__PURE__*/ core.$constructor(\"ZodIntersection\", (inst, def) => {\n    core.$ZodIntersection.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function intersection(left, right) {\n    return new ZodIntersection({\n        type: \"intersection\",\n        left: left,\n        right: right,\n    });\n}\nexport const ZodTuple = /*@__PURE__*/ core.$constructor(\"ZodTuple\", (inst, def) => {\n    core.$ZodTuple.init(inst, def);\n    ZodType.init(inst, def);\n    inst.rest = (rest) => inst.clone({\n        ...inst._zod.def,\n        rest: rest,\n    });\n});\nexport function tuple(items, _paramsOrRest, _params) {\n    const hasRest = _paramsOrRest instanceof core.$ZodType;\n    const params = hasRest ? _params : _paramsOrRest;\n    const rest = hasRest ? _paramsOrRest : null;\n    return new ZodTuple({\n        type: \"tuple\",\n        items: items,\n        rest,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodRecord = /*@__PURE__*/ core.$constructor(\"ZodRecord\", (inst, def) => {\n    core.$ZodRecord.init(inst, def);\n    ZodType.init(inst, def);\n    inst.keyType = def.keyType;\n    inst.valueType = def.valueType;\n});\nexport function record(keyType, valueType, params) {\n    return new ZodRecord({\n        type: \"record\",\n        keyType,\n        valueType: valueType,\n        ...util.normalizeParams(params),\n    });\n}\n// type alksjf = core.output<core.$ZodRecordKey>;\nexport function partialRecord(keyType, valueType, params) {\n    return new ZodRecord({\n        type: \"record\",\n        keyType: union([keyType, never()]),\n        valueType: valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodMap = /*@__PURE__*/ core.$constructor(\"ZodMap\", (inst, def) => {\n    core.$ZodMap.init(inst, def);\n    ZodType.init(inst, def);\n    inst.keyType = def.keyType;\n    inst.valueType = def.valueType;\n});\nexport function map(keyType, valueType, params) {\n    return new ZodMap({\n        type: \"map\",\n        keyType: keyType,\n        valueType: valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodSet = /*@__PURE__*/ core.$constructor(\"ZodSet\", (inst, def) => {\n    core.$ZodSet.init(inst, def);\n    ZodType.init(inst, def);\n    inst.min = (...args) => inst.check(core._minSize(...args));\n    inst.nonempty = (params) => inst.check(core._minSize(1, params));\n    inst.max = (...args) => inst.check(core._maxSize(...args));\n    inst.size = (...args) => inst.check(core._size(...args));\n});\nexport function set(valueType, params) {\n    return new ZodSet({\n        type: \"set\",\n        valueType: valueType,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodEnum = /*@__PURE__*/ core.$constructor(\"ZodEnum\", (inst, def) => {\n    core.$ZodEnum.init(inst, def);\n    ZodType.init(inst, def);\n    inst.enum = def.entries;\n    inst.options = Object.values(def.entries);\n    const keys = new Set(Object.keys(def.entries));\n    inst.extract = (values, params) => {\n        const newEntries = {};\n        for (const value of values) {\n            if (keys.has(value)) {\n                newEntries[value] = def.entries[value];\n            }\n            else\n                throw new Error(`Key ${value} not found in enum`);\n        }\n        return new ZodEnum({\n            ...def,\n            checks: [],\n            ...util.normalizeParams(params),\n            entries: newEntries,\n        });\n    };\n    inst.exclude = (values, params) => {\n        const newEntries = { ...def.entries };\n        for (const value of values) {\n            if (keys.has(value)) {\n                delete newEntries[value];\n            }\n            else\n                throw new Error(`Key ${value} not found in enum`);\n        }\n        return new ZodEnum({\n            ...def,\n            checks: [],\n            ...util.normalizeParams(params),\n            entries: newEntries,\n        });\n    };\n});\nfunction _enum(values, params) {\n    const entries = Array.isArray(values) ? Object.fromEntries(values.map((v) => [v, v])) : values;\n    return new ZodEnum({\n        type: \"enum\",\n        entries,\n        ...util.normalizeParams(params),\n    });\n}\nexport { _enum as enum };\n/** @deprecated This API has been merged into `z.enum()`. Use `z.enum()` instead.\n *\n * ```ts\n * enum Colors { red, green, blue }\n * z.enum(Colors);\n * ```\n */\nexport function nativeEnum(entries, params) {\n    return new ZodEnum({\n        type: \"enum\",\n        entries,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodLiteral = /*@__PURE__*/ core.$constructor(\"ZodLiteral\", (inst, def) => {\n    core.$ZodLiteral.init(inst, def);\n    ZodType.init(inst, def);\n    inst.values = new Set(def.values);\n    Object.defineProperty(inst, \"value\", {\n        get() {\n            if (def.values.length > 1) {\n                throw new Error(\"This schema contains multiple valid literal values. Use `.values` instead.\");\n            }\n            return def.values[0];\n        },\n    });\n});\nexport function literal(value, params) {\n    return new ZodLiteral({\n        type: \"literal\",\n        values: Array.isArray(value) ? value : [value],\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodFile = /*@__PURE__*/ core.$constructor(\"ZodFile\", (inst, def) => {\n    core.$ZodFile.init(inst, def);\n    ZodType.init(inst, def);\n    inst.min = (size, params) => inst.check(core._minSize(size, params));\n    inst.max = (size, params) => inst.check(core._maxSize(size, params));\n    inst.mime = (types, params) => inst.check(core._mime(Array.isArray(types) ? types : [types], params));\n});\nexport function file(params) {\n    return core._file(ZodFile, params);\n}\nexport const ZodTransform = /*@__PURE__*/ core.$constructor(\"ZodTransform\", (inst, def) => {\n    core.$ZodTransform.init(inst, def);\n    ZodType.init(inst, def);\n    inst._zod.parse = (payload, _ctx) => {\n        payload.addIssue = (issue) => {\n            if (typeof issue === \"string\") {\n                payload.issues.push(util.issue(issue, payload.value, def));\n            }\n            else {\n                // for Zod 3 backwards compatibility\n                const _issue = issue;\n                if (_issue.fatal)\n                    _issue.continue = false;\n                _issue.code ?? (_issue.code = \"custom\");\n                _issue.input ?? (_issue.input = payload.value);\n                _issue.inst ?? (_issue.inst = inst);\n                _issue.continue ?? (_issue.continue = true);\n                payload.issues.push(util.issue(_issue));\n            }\n        };\n        const output = def.transform(payload.value, payload);\n        if (output instanceof Promise) {\n            return output.then((output) => {\n                payload.value = output;\n                return payload;\n            });\n        }\n        payload.value = output;\n        return payload;\n    };\n});\nexport function transform(fn) {\n    return new ZodTransform({\n        type: \"transform\",\n        transform: fn,\n    });\n}\nexport const ZodOptional = /*@__PURE__*/ core.$constructor(\"ZodOptional\", (inst, def) => {\n    core.$ZodOptional.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function optional(innerType) {\n    return new ZodOptional({\n        type: \"optional\",\n        innerType: innerType,\n    });\n}\nexport const ZodNullable = /*@__PURE__*/ core.$constructor(\"ZodNullable\", (inst, def) => {\n    core.$ZodNullable.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function nullable(innerType) {\n    return new ZodNullable({\n        type: \"nullable\",\n        innerType: innerType,\n    });\n}\n// nullish\nexport function nullish(innerType) {\n    return optional(nullable(innerType));\n}\nexport const ZodDefault = /*@__PURE__*/ core.$constructor(\"ZodDefault\", (inst, def) => {\n    core.$ZodDefault.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n    inst.removeDefault = inst.unwrap;\n});\nexport function _default(innerType, defaultValue) {\n    return new ZodDefault({\n        type: \"default\",\n        innerType: innerType,\n        get defaultValue() {\n            return typeof defaultValue === \"function\" ? defaultValue() : defaultValue;\n        },\n    });\n}\nexport const ZodPrefault = /*@__PURE__*/ core.$constructor(\"ZodPrefault\", (inst, def) => {\n    core.$ZodPrefault.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function prefault(innerType, defaultValue) {\n    return new ZodPrefault({\n        type: \"prefault\",\n        innerType: innerType,\n        get defaultValue() {\n            return typeof defaultValue === \"function\" ? defaultValue() : defaultValue;\n        },\n    });\n}\nexport const ZodNonOptional = /*@__PURE__*/ core.$constructor(\"ZodNonOptional\", (inst, def) => {\n    core.$ZodNonOptional.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function nonoptional(innerType, params) {\n    return new ZodNonOptional({\n        type: \"nonoptional\",\n        innerType: innerType,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodSuccess = /*@__PURE__*/ core.$constructor(\"ZodSuccess\", (inst, def) => {\n    core.$ZodSuccess.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function success(innerType) {\n    return new ZodSuccess({\n        type: \"success\",\n        innerType: innerType,\n    });\n}\nexport const ZodCatch = /*@__PURE__*/ core.$constructor(\"ZodCatch\", (inst, def) => {\n    core.$ZodCatch.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n    inst.removeCatch = inst.unwrap;\n});\nfunction _catch(innerType, catchValue) {\n    return new ZodCatch({\n        type: \"catch\",\n        innerType: innerType,\n        catchValue: (typeof catchValue === \"function\" ? catchValue : () => catchValue),\n    });\n}\nexport { _catch as catch };\nexport const ZodNaN = /*@__PURE__*/ core.$constructor(\"ZodNaN\", (inst, def) => {\n    core.$ZodNaN.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function nan(params) {\n    return core._nan(ZodNaN, params);\n}\nexport const ZodPipe = /*@__PURE__*/ core.$constructor(\"ZodPipe\", (inst, def) => {\n    core.$ZodPipe.init(inst, def);\n    ZodType.init(inst, def);\n    inst.in = def.in;\n    inst.out = def.out;\n});\nexport function pipe(in_, out) {\n    return new ZodPipe({\n        type: \"pipe\",\n        in: in_,\n        out: out,\n        // ...util.normalizeParams(params),\n    });\n}\nexport const ZodReadonly = /*@__PURE__*/ core.$constructor(\"ZodReadonly\", (inst, def) => {\n    core.$ZodReadonly.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function readonly(innerType) {\n    return new ZodReadonly({\n        type: \"readonly\",\n        innerType: innerType,\n    });\n}\nexport const ZodTemplateLiteral = /*@__PURE__*/ core.$constructor(\"ZodTemplateLiteral\", (inst, def) => {\n    core.$ZodTemplateLiteral.init(inst, def);\n    ZodType.init(inst, def);\n});\nexport function templateLiteral(parts, params) {\n    return new ZodTemplateLiteral({\n        type: \"template_literal\",\n        parts,\n        ...util.normalizeParams(params),\n    });\n}\nexport const ZodLazy = /*@__PURE__*/ core.$constructor(\"ZodLazy\", (inst, def) => {\n    core.$ZodLazy.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.getter();\n});\nexport function lazy(getter) {\n    return new ZodLazy({\n        type: \"lazy\",\n        getter: getter,\n    });\n}\nexport const ZodPromise = /*@__PURE__*/ core.$constructor(\"ZodPromise\", (inst, def) => {\n    core.$ZodPromise.init(inst, def);\n    ZodType.init(inst, def);\n    inst.unwrap = () => inst._zod.def.innerType;\n});\nexport function promise(innerType) {\n    return new ZodPromise({\n        type: \"promise\",\n        innerType: innerType,\n    });\n}\nexport const ZodCustom = /*@__PURE__*/ core.$constructor(\"ZodCustom\", (inst, def) => {\n    core.$ZodCustom.init(inst, def);\n    ZodType.init(inst, def);\n});\n// custom checks\nexport function check(fn) {\n    const ch = new core.$ZodCheck({\n        check: \"custom\",\n        // ...util.normalizeParams(params),\n    });\n    ch._zod.check = fn;\n    return ch;\n}\nexport function custom(fn, _params) {\n    return core._custom(ZodCustom, fn ?? (() => true), _params);\n}\nexport function refine(fn, _params = {}) {\n    return core._refine(ZodCustom, fn, _params);\n}\n// superRefine\nexport function superRefine(fn) {\n    const ch = check((payload) => {\n        payload.addIssue = (issue) => {\n            if (typeof issue === \"string\") {\n                payload.issues.push(util.issue(issue, payload.value, ch._zod.def));\n            }\n            else {\n                // for Zod 3 backwards compatibility\n                const _issue = issue;\n                if (_issue.fatal)\n                    _issue.continue = false;\n                _issue.code ?? (_issue.code = \"custom\");\n                _issue.input ?? (_issue.input = payload.value);\n                _issue.inst ?? (_issue.inst = ch);\n                _issue.continue ?? (_issue.continue = !ch._zod.def.abort);\n                payload.issues.push(util.issue(_issue));\n            }\n        };\n        return fn(payload.value, payload);\n    });\n    return ch;\n}\nfunction _instanceof(cls, params = {\n    error: `Input not instance of ${cls.name}`,\n}) {\n    const inst = new ZodCustom({\n        type: \"custom\",\n        check: \"custom\",\n        fn: (data) => data instanceof cls,\n        abort: true,\n        ...util.normalizeParams(params),\n    });\n    inst._zod.bag.Class = cls;\n    return inst;\n}\nexport { _instanceof as instanceof };\n// stringbool\nexport const stringbool = (...args) => core._stringbool({\n    Pipe: ZodPipe,\n    Boolean: ZodBoolean,\n    String: ZodString,\n    Transform: ZodTransform,\n}, ...args);\nexport function json(params) {\n    const jsonSchema = lazy(() => {\n        return union([string(params), number(), boolean(), _null(), array(jsonSchema), record(string(), jsonSchema)]);\n    });\n    return jsonSchema;\n}\n// preprocess\n// /** @deprecated Use `z.pipe()` and `z.transform()` instead. */\nexport function preprocess(fn, schema) {\n    return pipe(transform(fn), schema);\n}\n", "// Zod 3 compat layer\nimport * as core from \"../core/index.js\";\n/** @deprecated Use the raw string literal codes instead, e.g. \"invalid_type\". */\nexport const ZodIssueCode = {\n    invalid_type: \"invalid_type\",\n    too_big: \"too_big\",\n    too_small: \"too_small\",\n    invalid_format: \"invalid_format\",\n    not_multiple_of: \"not_multiple_of\",\n    unrecognized_keys: \"unrecognized_keys\",\n    invalid_union: \"invalid_union\",\n    invalid_key: \"invalid_key\",\n    invalid_element: \"invalid_element\",\n    invalid_value: \"invalid_value\",\n    custom: \"custom\",\n};\nexport { $brand, config } from \"../core/index.js\";\n/** @deprecated Use `z.config(params)` instead. */\nexport function setErrorMap(map) {\n    core.config({\n        customError: map,\n    });\n}\n/** @deprecated Use `z.config()` instead. */\nexport function getErrorMap() {\n    return core.config().customError;\n}\n", "import * as core from \"../core/index.js\";\nimport * as schemas from \"./schemas.js\";\nexport function string(params) {\n    return core._coercedString(schemas.ZodString, params);\n}\nexport function number(params) {\n    return core._coercedNumber(schemas.ZodNumber, params);\n}\nexport function boolean(params) {\n    return core._coercedBoolean(schemas.ZodBoolean, params);\n}\nexport function bigint(params) {\n    return core._coercedBigint(schemas.ZodBigInt, params);\n}\nexport function date(params) {\n    return core._coercedDate(schemas.ZodDate, params);\n}\n", "export * as core from \"../core/index.js\";\nexport * from \"./schemas.js\";\nexport * from \"./checks.js\";\nexport * from \"./errors.js\";\nexport * from \"./parse.js\";\nexport * from \"./compat.js\";\n// zod-specified\nimport { config } from \"../core/index.js\";\nimport en from \"../locales/en.js\";\nconfig(en());\nexport { globalRegistry, registry, config, function, $output, $input, $brand, clone, regexes, treeifyError, prettifyError, formatError, flattenError, toJSONSchema, TimePrecision, NEVER, } from \"../core/index.js\";\nexport * as locales from \"../locales/index.js\";\n// iso\n// must be exported from top-level\n// https://github.com/colinhacks/zod/issues/4491\nexport { ZodISODateTime, ZodISODate, ZodISOTime, ZodISODuration } from \"./iso.js\";\nexport * as iso from \"./iso.js\";\nexport * as coerce from \"./coerce.js\";\n", "import * as z from \"./external.js\";\nexport { z };\nexport * from \"./external.js\";\nexport default z;\n", "import z4 from \"./classic/index.js\";\nexport * from \"./classic/index.js\";\nexport default z4;\n", "/**\n * The type of error that occurred.\n * @public\n */\nexport type ErrorType = 'invalid-retry' | 'unknown-field' | 'max-buffer-size-exceeded'\n\n/**\n * Error thrown when encountering an issue during parsing.\n *\n * @public\n */\nexport class ParseError extends Error {\n  /**\n   * The type of error that occurred.\n   */\n  type: ErrorType\n\n  /**\n   * In the case of an unknown field encountered in the stream, this will be the field name.\n   */\n  field?: string | undefined\n\n  /**\n   * In the case of an unknown field encountered in the stream, this will be the value of the field.\n   */\n  value?: string | undefined\n\n  /**\n   * The line that caused the error, if available.\n   */\n  line?: string | undefined\n\n  constructor(\n    message: string,\n    options: {type: ErrorType; field?: string; value?: string; line?: string},\n  ) {\n    super(message)\n    this.name = 'ParseError'\n    this.type = options.type\n    this.field = options.field\n    this.value = options.value\n    this.line = options.line\n  }\n}\n", "/**\n * EventSource/Server-Sent Events parser\n * @see https://html.spec.whatwg.org/multipage/server-sent-events.html\n */\nimport {ParseError} from './errors.ts'\nimport type {EventSourceParser, ParserConfig} from './types.ts'\n\n// ASCII codes used in the hot parsing paths.\nconst LF = 10\nconst CR = 13\nconst SPACE = 32\n\n// oxlint-disable-next-line no-unused-vars\nfunction noop(_arg: unknown) {\n  // intentional noop\n}\n\n/**\n * Creates a new EventSource parser.\n *\n * @param config - Parser configuration. Accepts callbacks (see {@link ParserCallbacks})\n *   and options like `maxBufferSize` (see {@link ParserConfig}).\n *\n * @returns A new EventSource parser, with `feed` and `reset` methods.\n * @public\n */\nexport function createParser(config: ParserConfig): EventSourceParser {\n  if (typeof config === 'function') {\n    throw new TypeError(\n      '`config` must be an object, got a function instead. Did you mean `createParser({onEvent: fn})`?',\n    )\n  }\n\n  const {onEvent = noop, onError = noop, onRetry = noop, onComment, maxBufferSize} = config\n\n  // Trailing bytes from prior `feed()` calls that did not yet form a complete line.\n  // Stored as an array of fragments and only joined when a line terminator arrives.\n  // Concatenating per-feed (`prefix + chunk`) is O(N²) when a single SSE line spans\n  // many chunks (e.g. a large `data:` payload streamed in tiny slices, or an MCP-style\n  // server that emits one giant content block). Buffering as fragments + joining once\n  // makes the same workload linear.\n  const pendingFragments: string[] = []\n\n  // Running total of `pendingFragments` lengths, kept in sync with the array so the\n  // `maxBufferSize` check doesn't have to walk the fragment list on every feed.\n  let pendingFragmentsLength = 0\n\n  let isFirstChunk = true\n  let id: string | undefined\n  let data = ''\n  let dataLines = 0\n  let eventType: string | undefined\n\n  // Set after a `maxBufferSize` overflow. Once tripped, `feed()` throws until\n  // `reset()` is called — see the comment on `maxBufferSize` in `ParserConfig`.\n  let terminated = false\n\n  /**\n   * Feeds a chunk of the SSE stream to the parser. Any trailing bytes that do\n   * not yet form a complete line are held back and prepended to the next chunk,\n   * so callers can pass arbitrary slices of the stream without worrying about\n   * line boundaries.\n   *\n   * Per the SSE spec, a UTF-8 BOM (0xEF 0xBB 0xBF) at the start of the very\n   * first chunk is stripped before parsing.\n   *\n   * @see https://html.spec.whatwg.org/multipage/server-sent-events.html#parsing-an-event-stream\n   */\n  function feed(chunk: string) {\n    if (terminated) {\n      throw new Error(\n        'Cannot feed parser: it was terminated after exceeding the configured max buffer size. Call `reset()` to resume parsing.',\n      )\n    }\n\n    if (isFirstChunk) {\n      isFirstChunk = false\n      // Match and strip UTF-8 BOM from the start of the stream, if present.\n      // (Per the spec, this is only valid at the very start of the stream)\n      if (\n        chunk.charCodeAt(0) === 0xef &&\n        chunk.charCodeAt(1) === 0xbb &&\n        chunk.charCodeAt(2) === 0xbf\n      ) {\n        chunk = chunk.slice(3)\n      }\n    }\n\n    // Hot path: no buffered prefix from a prior partial line. Hand the chunk\n    // straight to `processLines`, exactly like the original implementation.\n    // Zero new work in the common case (every chunk ends with `\\n\\n`).\n    if (pendingFragments.length === 0) {\n      const trailing = processLines(chunk)\n      if (trailing !== '') {\n        pendingFragments.push(trailing)\n        pendingFragmentsLength = trailing.length\n      }\n      checkBufferSize()\n      return\n    }\n\n    // We have a buffered prefix. If this chunk also has no terminator, append\n    // to the buffer without concatenating — that's the O(N²) trap we're\n    // avoiding (large single `data:` payload split across many tiny chunks).\n    if (chunk.indexOf('\\n') === -1 && chunk.indexOf('\\r') === -1) {\n      pendingFragments.push(chunk)\n      pendingFragmentsLength += chunk.length\n      checkBufferSize()\n      return\n    }\n\n    // Terminator arrived. Join the accumulated fragments + this chunk once,\n    // process, and buffer any new trailing partial line.\n    pendingFragments.push(chunk)\n    const input = pendingFragments.join('')\n    pendingFragments.length = 0\n    pendingFragmentsLength = 0\n    const trailing = processLines(input)\n    if (trailing !== '') {\n      pendingFragments.push(trailing)\n      pendingFragmentsLength = trailing.length\n    }\n    checkBufferSize()\n  }\n\n  function checkBufferSize() {\n    if (maxBufferSize === undefined) return\n    if (pendingFragmentsLength + data.length <= maxBufferSize) return\n\n    terminated = true\n    pendingFragments.length = 0\n    pendingFragmentsLength = 0\n    id = undefined\n    data = ''\n    dataLines = 0\n    eventType = undefined\n    onError(\n      new ParseError(`Buffered data exceeded max buffer size of ${maxBufferSize} characters`, {\n        type: 'max-buffer-size-exceeded',\n      }),\n    )\n  }\n\n  /**\n   * Splits `chunk` into SSE lines and dispatches each to the appropriate handler.\n   * Returns any trailing bytes that did not terminate with a line break, so the\n   * caller can prepend them to the next chunk.\n   *\n   * The SSE spec permits three line terminators: `\\n`, `\\r`, and `\\r\\n`. Real-world\n   * streams almost always use plain `\\n`, so we take a fast path when no `\\r` is\n   * present in the chunk. The slow path is spec-correct but does more work per line.\n   */\n  function processLines(chunk: string): string {\n    let searchIndex = 0\n\n    // Fast path: LF-only chunk (the common case for typical SSE servers).\n    // We can scan forward with a single `indexOf('\\n')` per line and inline\n    // the hot-path branches for `data:` and `event:` without the CR bookkeeping\n    // the slow path needs.\n    if (chunk.indexOf('\\r') === -1) {\n      let lfIndex = chunk.indexOf('\\n', searchIndex)\n      while (lfIndex !== -1) {\n        // Blank line: end-of-event marker. Dispatch the accumulated event (if any)\n        // and reset the buffered fields. This is hoisted out of `parseLine` because\n        // it's the single most common line shape after `data:` lines.\n        if (searchIndex === lfIndex) {\n          if (dataLines > 0) {\n            onEvent({id, event: eventType, data})\n          }\n          id = undefined\n          data = ''\n          dataLines = 0\n          eventType = undefined\n          searchIndex = lfIndex + 1\n          lfIndex = chunk.indexOf('\\n', searchIndex)\n          continue\n        }\n        const firstCharCode = chunk.charCodeAt(searchIndex)\n        if (isDataPrefix(chunk, searchIndex, firstCharCode)) {\n          // `data:` line — append the value to the event's data buffer.\n          // 'data:'.length === 5, 'data: '.length === 6\n          const valueStart =\n            chunk.charCodeAt(searchIndex + 5) === SPACE ? searchIndex + 6 : searchIndex + 5\n          const value = chunk.slice(valueStart, lfIndex)\n          // Fast path within a fast path: if this is the first data line AND the\n          // next char is another LF (i.e. `data:foo\\n\\n`), dispatch immediately\n          // without ever writing to the `data` buffer. This is the shape of a\n          // typical single-line SSE event (ChatGPT-style streams, etc.) and is\n          // hot enough to be worth the duplication.\n          if (dataLines === 0 && chunk.charCodeAt(lfIndex + 1) === LF) {\n            onEvent({id, event: eventType, data: value})\n            id = undefined\n            data = ''\n            eventType = undefined\n            searchIndex = lfIndex + 2\n            lfIndex = chunk.indexOf('\\n', searchIndex)\n            continue\n          }\n          // Multi-line data: concatenate with newline separator per spec.\n          data = dataLines === 0 ? value : `${data}\\n${value}`\n          dataLines++\n        } else if (isEventPrefix(chunk, searchIndex, firstCharCode)) {\n          // `event:` line — set the event type for the next dispatch. Per spec,\n          // an empty value resets `event type` to its default (undefined here).\n          // 'event:'.length === 6, 'event: '.length === 7\n          eventType =\n            chunk.slice(\n              chunk.charCodeAt(searchIndex + 6) === SPACE ? searchIndex + 7 : searchIndex + 6,\n              lfIndex,\n            ) || undefined\n        } else {\n          // Everything else: `id:`, `retry:`, comment lines (`:` prefix), unknown\n          // fields, or malformed lines. These are rarer and go through the full\n          // per-line parser, which handles the SSE field grammar in detail.\n          parseLine(chunk, searchIndex, lfIndex)\n        }\n        searchIndex = lfIndex + 1\n        lfIndex = chunk.indexOf('\\n', searchIndex)\n      }\n      return chunk.slice(searchIndex)\n    }\n\n    // Slow path: the chunk contains at least one `\\r`, so lines may be terminated\n    // by `\\r`, `\\n`, or `\\r\\n`. We locate the next terminator by looking at both\n    // the nearest `\\r` and `\\n` and picking whichever comes first.\n    while (searchIndex < chunk.length) {\n      const crIndex = chunk.indexOf('\\r', searchIndex)\n      const lfIndex = chunk.indexOf('\\n', searchIndex)\n\n      let lineEnd = -1\n      if (crIndex !== -1 && lfIndex !== -1) {\n        lineEnd = crIndex < lfIndex ? crIndex : lfIndex\n      } else if (crIndex !== -1) {\n        // A trailing `\\r` at the very end of the chunk is ambiguous: it could be\n        // a bare-CR terminator, or the first half of a `\\r\\n` whose `\\n` arrives\n        // in the next chunk. Defer until we see more input.\n        if (crIndex === chunk.length - 1) {\n          lineEnd = -1\n        } else {\n          lineEnd = crIndex\n        }\n      } else if (lfIndex !== -1) {\n        lineEnd = lfIndex\n      }\n\n      if (lineEnd === -1) {\n        break\n      }\n\n      parseLine(chunk, searchIndex, lineEnd)\n      searchIndex = lineEnd + 1\n      // If we just consumed a `\\r` and the next char is `\\n`, skip it so the\n      // pair is treated as a single terminator rather than an empty line.\n      if (chunk.charCodeAt(searchIndex - 1) === CR && chunk.charCodeAt(searchIndex) === LF) {\n        searchIndex++\n      }\n    }\n\n    return chunk.slice(searchIndex)\n  }\n\n  function parseLine(chunk: string, start: number, end: number) {\n    if (start === end) {\n      dispatchEvent()\n      return\n    }\n\n    const firstCharCode = chunk.charCodeAt(start)\n\n    if (isDataPrefix(chunk, start, firstCharCode)) {\n      // 'data:'.length === 5, 'data: '.length === 6\n      const valueStart = chunk.charCodeAt(start + 5) === SPACE ? start + 6 : start + 5\n      const value = chunk.slice(valueStart, end)\n      data = dataLines === 0 ? value : `${data}\\n${value}`\n      dataLines++\n      return\n    }\n\n    if (isEventPrefix(chunk, start, firstCharCode)) {\n      // 'event:'.length === 6, 'event: '.length === 7\n      eventType =\n        chunk.slice(chunk.charCodeAt(start + 6) === SPACE ? start + 7 : start + 6, end) || undefined\n      return\n    }\n\n    // Fast path for \"id:\" — 'i' = 105, 'd' = 100, ':' = 58\n    if (\n      firstCharCode === 105 &&\n      chunk.charCodeAt(start + 1) === 100 &&\n      chunk.charCodeAt(start + 2) === 58\n    ) {\n      // 'id:'.length === 3, 'id: '.length === 4\n      const value = chunk.slice(chunk.charCodeAt(start + 3) === SPACE ? start + 4 : start + 3, end)\n      // If the field value does not contain U+0000 NULL, then set the `ID` buffer to\n      // the field value. Otherwise, ignore the field.\n      if (!value.includes('\\0')) id = value\n      return\n    }\n\n    // Comment line — ':' = 58\n    if (firstCharCode === 58) {\n      if (onComment) {\n        const line = chunk.slice(start, end)\n        // skip ':' (+1), or ': ' (+2) when a space follows\n        onComment(line.slice(chunk.charCodeAt(start + 1) === SPACE ? 2 : 1))\n      }\n      return\n    }\n\n    const line = chunk.slice(start, end)\n    const fieldSeparatorIndex = line.indexOf(':')\n    if (fieldSeparatorIndex === -1) {\n      processField(line, '', line)\n      return\n    }\n\n    const field = line.slice(0, fieldSeparatorIndex)\n    // skip ':' (+1), or ': ' (+2) when a space follows\n    const offset = line.charCodeAt(fieldSeparatorIndex + 1) === SPACE ? 2 : 1\n    const value = line.slice(fieldSeparatorIndex + offset)\n    processField(field, value, line)\n  }\n\n  function processField(field: string, value: string, line: string) {\n    // Field names must be compared literally, with no case folding performed.\n    switch (field) {\n      case 'event':\n        // Set the `event type` buffer to field value\n        eventType = value || undefined\n        break\n      case 'data':\n        data = dataLines === 0 ? value : `${data}\\n${value}`\n        dataLines++\n        break\n      case 'id':\n        // If the field value does not contain U+0000 NULL, then set the `ID` buffer to\n        // the field value. Otherwise, ignore the field.\n        if (!value.includes('\\0')) id = value\n        break\n      case 'retry':\n        // If the field value consists of only ASCII digits, then interpret the field value as an\n        // integer in base ten, and set the event stream's reconnection time to that integer.\n        // Otherwise, ignore the field.\n        if (/^\\d+$/.test(value)) {\n          onRetry(parseInt(value, 10))\n        } else {\n          onError(\n            new ParseError(`Invalid \\`retry\\` value: \"${value}\"`, {\n              type: 'invalid-retry',\n              value,\n              line,\n            }),\n          )\n        }\n        break\n      default:\n        // Otherwise, the field is ignored.\n        onError(\n          new ParseError(\n            `Unknown field \"${field.length > 20 ? `${field.slice(0, 20)}…` : field}\"`,\n            {type: 'unknown-field', field, value, line},\n          ),\n        )\n        break\n    }\n  }\n\n  function dispatchEvent() {\n    if (dataLines > 0) {\n      onEvent({\n        id,\n        event: eventType,\n        data,\n      })\n    }\n\n    id = undefined\n    data = ''\n    dataLines = 0\n    eventType = undefined\n  }\n\n  function reset(options: {consume?: boolean} = {}) {\n    if (options.consume && pendingFragments.length > 0) {\n      const incompleteLine = pendingFragments.join('')\n      parseLine(incompleteLine, 0, incompleteLine.length)\n    }\n\n    isFirstChunk = true\n    id = undefined\n    data = ''\n    dataLines = 0\n    eventType = undefined\n    pendingFragments.length = 0\n    pendingFragmentsLength = 0\n    terminated = false\n  }\n\n  return {feed, reset}\n}\n\n/**\n * Checks if `chunk` starts with the literal `data:` at index `i`.\n *\n * Equivalent to `chunk.startsWith('data:', i)`, but benchmarks show this\n * hand-unrolled char-code comparison is ~20% faster on common event types.\n * The caller passes `firstCharCode` (the code at `i`) so it can be reused\n * across prefix checks.\n *\n * ASCII: 'd' = 100, 'a' = 97, 't' = 116, 'a' = 97, ':' = 58\n */\nfunction isDataPrefix(chunk: string, i: number, firstCharCode: number): boolean {\n  return (\n    firstCharCode === 100 &&\n    chunk.charCodeAt(i + 1) === 97 &&\n    chunk.charCodeAt(i + 2) === 116 &&\n    chunk.charCodeAt(i + 3) === 97 &&\n    chunk.charCodeAt(i + 4) === 58\n  )\n}\n\n/**\n * Checks if `chunk` starts with the literal `event:` at index `i`.\n *\n * See {@link isDataPrefix} for why this is hand-unrolled rather than using\n * `String.prototype.startsWith`.\n *\n * ASCII: 'e' = 101, 'v' = 118, 'e' = 101, 'n' = 110, 't' = 116, ':' = 58\n */\nfunction isEventPrefix(chunk: string, i: number, firstCharCode: number): boolean {\n  return (\n    firstCharCode === 101 &&\n    chunk.charCodeAt(i + 1) === 118 &&\n    chunk.charCodeAt(i + 2) === 101 &&\n    chunk.charCodeAt(i + 3) === 110 &&\n    chunk.charCodeAt(i + 4) === 116 &&\n    chunk.charCodeAt(i + 5) === 58\n  )\n}\n", "import {createParser} from './parse.ts'\nimport type {EventSourceMessage, EventSourceParser} from './types.ts'\n\n/**\n * Options for the EventSourceParserStream.\n *\n * @public\n */\nexport interface StreamOptions {\n  /**\n   * Behavior when a parsing error occurs.\n   *\n   * - A custom function can be provided to handle the error.\n   * - `'terminate'` will error the stream and stop parsing.\n   * - Any other value will ignore the error and continue parsing.\n   *\n   * @defaultValue `undefined`\n   */\n  onError?: ('terminate' | ((error: Error) => void)) | undefined\n\n  /**\n   * Callback for when a reconnection interval is sent from the server.\n   *\n   * @param retry - The number of milliseconds to wait before reconnecting.\n   */\n  onRetry?: ((retry: number) => void) | undefined\n\n  /**\n   * Callback for when a comment is encountered in the stream.\n   *\n   * @param comment - The comment encountered in the stream.\n   */\n  onComment?: ((comment: string) => void) | undefined\n\n  /**\n   * Maximum number of characters the parser is allowed to buffer across calls to `feed()`.\n   * See {@link ParserConfig.maxBufferSize} for details.\n   *\n   * When the limit is exceeded, the stream is always errored (regardless of the `onError`\n   * setting) since the underlying parser is unrecoverable without a `reset()`.\n   *\n   * @defaultValue `undefined` (unbounded)\n   */\n  maxBufferSize?: number | undefined\n}\n\n/**\n * A TransformStream that ingests a stream of strings and produces a stream of `EventSourceMessage`.\n *\n * @example Basic usage\n * ```\n * const eventStream =\n *   response.body\n *     .pipeThrough(new TextDecoderStream())\n *     .pipeThrough(new EventSourceParserStream())\n * ```\n *\n * @example Terminate stream on parsing errors\n * ```\n * const eventStream =\n *  response.body\n *   .pipeThrough(new TextDecoderStream())\n *   .pipeThrough(new EventSourceParserStream({onError: 'terminate'}))\n * ```\n *\n * @public\n */\nexport class EventSourceParserStream extends TransformStream<string, EventSourceMessage> {\n  constructor({onError, onRetry, onComment, maxBufferSize}: StreamOptions = {}) {\n    let parser!: EventSourceParser\n\n    super({\n      start(controller) {\n        parser = createParser({\n          onEvent: (event) => {\n            controller.enqueue(event)\n          },\n          onError(error) {\n            if (typeof onError === 'function') {\n              onError(error)\n            }\n\n            // `max-buffer-size-exceeded` is fatal — the parser is unusable until\n            // `reset()`, which the stream wrapper has no way to call. Always\n            // terminate the stream in that case so consumers see the meaningful\n            // `ParseError` instead of an opaque \"cannot feed terminated parser\"\n            // throw from the next chunk.\n            if (onError === 'terminate' || error.type === 'max-buffer-size-exceeded') {\n              controller.error(error)\n            }\n\n            // Ignore by default\n          },\n          onRetry,\n          onComment,\n          maxBufferSize,\n        })\n      },\n      transform(chunk) {\n        parser.feed(chunk)\n      },\n    })\n  }\n}\n\nexport {type ErrorType, ParseError} from './errors.ts'\nexport type {EventSourceMessage} from './types.ts'\n", null, "/**\n * A value that can be provided either as a single item, an array of items,\n * or be left undefined.\n */\nexport type Arrayable<T> = T | T[] | undefined;\n\n/**\n * Normalizes a possibly undefined or non-array value into an array.\n */\nexport function asArray<T>(value: Arrayable<T>): T[] {\n  return value === undefined ? [] : Array.isArray(value) ? value : [value];\n}\n", "export function combineHeaders(\n  ...headers: Array<Record<string, string | undefined> | undefined>\n): Record<string, string | undefined> {\n  return headers.reduce(\n    (combinedHeaders, currentHeaders) => ({\n      ...combinedHeaders,\n      ...(currentHeaders ?? {}),\n    }),\n    {},\n  ) as Record<string, string | undefined>;\n}\n", "/**\n * Removes entries from a record where the value is null or undefined.\n * @param record - The input object whose entries may be null or undefined.\n * @returns A new object containing only entries with non-null and non-undefined values.\n */\nexport function removeUndefinedEntries<T>(\n  record: Record<string, T | undefined>,\n): Record<string, T> {\n  return Object.fromEntries(\n    Object.entries(record).filter(([_key, value]) => value != null),\n  ) as Record<string, T>;\n}\n", "/**\n * Creates a Promise that resolves after a specified delay\n * @param delayInMs - The delay duration in milliseconds. If null or undefined, resolves immediately.\n * @param signal - Optional AbortSignal to cancel the delay\n * @returns A Promise that resolves after the specified delay\n * @throws {DOMException} When the signal is aborted\n */\nexport async function delay(\n  delayInMs?: number | null,\n  options?: {\n    abortSignal?: AbortSignal;\n  },\n): Promise<void> {\n  if (delayInMs == null) {\n    return Promise.resolve();\n  }\n\n  const signal = options?.abortSignal;\n\n  return new Promise<void>((resolve, reject) => {\n    if (signal?.aborted) {\n      reject(createAbortError());\n      return;\n    }\n\n    const timeoutId = setTimeout(() => {\n      cleanup();\n      resolve();\n    }, delayInMs);\n\n    const cleanup = () => {\n      clearTimeout(timeoutId);\n      signal?.removeEventListener('abort', onAbort);\n    };\n\n    const onAbort = () => {\n      cleanup();\n      reject(createAbortError());\n    };\n\n    signal?.addEventListener('abort', onAbort);\n  });\n}\n\nfunction createAbortError(): DOMException {\n  return new DOMException('Delay was aborted', 'AbortError');\n}\n", "import { delay } from './delay';\n\nexport type WebSocketLike = {\n  readyState: number;\n  /** Bytes queued by `send` but not yet transmitted (native + `ws`). */\n  readonly bufferedAmount?: number;\n  send(data: string | Uint8Array | ArrayBuffer): void;\n  close(code?: number, reason?: string): void;\n  onopen: ((event: unknown) => void) | null;\n  onmessage: ((event: { data: unknown }) => void) | null;\n  onerror: ((event: unknown) => void) | null;\n  onclose: ((event: unknown) => void) | null;\n};\n\nexport type WebSocketConstructor = new (\n  url: string | URL,\n  protocols?: string | string[],\n  options?: {\n    headers?: Record<string, string | undefined>;\n  },\n) => WebSocketLike;\n\nexport function getWebSocketConstructor(\n  webSocket: WebSocketConstructor | undefined,\n): WebSocketConstructor {\n  const WebSocketConstructor =\n    webSocket ?? (globalThis.WebSocket as unknown as WebSocketConstructor);\n\n  if (WebSocketConstructor == null) {\n    throw new Error('No WebSocket implementation available.');\n  }\n\n  return WebSocketConstructor;\n}\n\n/**\n * Converts an http(s) URL to the corresponding ws(s) URL.\n */\nexport function toWebSocketUrl(url: string | URL): URL {\n  const wsUrl = new URL(url);\n  if (wsUrl.protocol === 'http:') {\n    wsUrl.protocol = 'ws:';\n  } else if (wsUrl.protocol === 'https:') {\n    wsUrl.protocol = 'wss:';\n  }\n  return wsUrl;\n}\n\nconst textDecoder = new TextDecoder();\n\n/**\n * Reads WebSocket message data as text, handling string, binary,\n * and Blob payloads.\n */\nexport async function readWebSocketMessageText(data: unknown): Promise<string> {\n  if (typeof data === 'string') return data;\n  if (data instanceof ArrayBuffer) return textDecoder.decode(data);\n  if (ArrayBuffer.isView(data)) {\n    return textDecoder.decode(data);\n  }\n  if (typeof Blob !== 'undefined' && data instanceof Blob) {\n    return data.text();\n  }\n  return String(data);\n}\n\nconst WEBSOCKET_OPEN_STATE = 1;\n\n/**\n * Waits until the socket's send buffer drains below `highWaterMark` bytes.\n * No-op for implementations that do not expose `bufferedAmount`. There is no\n * portable drain event, so this polls. Returns as soon as the socket is no\n * longer open or the signal aborts — `bufferedAmount` never drains on a\n * closed socket, so waiting on would poll forever.\n */\nexport async function waitForWebSocketBufferDrain(\n  socket: WebSocketLike,\n  {\n    highWaterMark = 1024 * 1024,\n    pollIntervalMs = 20,\n    abortSignal,\n  }: {\n    highWaterMark?: number;\n    pollIntervalMs?: number;\n    abortSignal?: AbortSignal;\n  } = {},\n): Promise<void> {\n  while (\n    socket.readyState === WEBSOCKET_OPEN_STATE &&\n    (socket.bufferedAmount ?? 0) > highWaterMark\n  ) {\n    if (abortSignal?.aborted === true) {\n      return;\n    }\n    await delay(pollIntervalMs);\n  }\n}\n", "import { removeUndefinedEntries } from './remove-undefined-entries';\nimport {\n  getWebSocketConstructor,\n  readWebSocketMessageText,\n  type WebSocketConstructor,\n  type WebSocketLike,\n} from './websocket';\n\nexport interface WebSocketConnection {\n  /** Undefined when the constructor threw or the signal was already aborted. */\n  socket: WebSocketLike | undefined;\n  /**\n   * Unregisters the abort listener and closes the socket. Never throws.\n   * Handlers stay attached; callers guard their own terminal state.\n   */\n  close: (code?: number) => void;\n}\n\n/**\n * Opens a WebSocket for a provider model, owning the transport-generic layer\n * (analogous to `postToApi` for HTTP): constructor resolution, header hygiene,\n * abort wiring, and message decoding. Callers own the URL, the auth channel\n * (subprotocols vs headers), and the wire protocol.\n */\nexport function connectToWebSocket({\n  url,\n  protocols,\n  headers,\n  webSocket,\n  abortSignal,\n  onOpen,\n  onMessageText,\n  onProcessingError,\n  onSocketError,\n  onClose,\n  onAbort,\n}: {\n  url: string | URL;\n  protocols?: string | string[];\n  headers?: Record<string, string | undefined>;\n  webSocket?: WebSocketConstructor;\n  abortSignal?: AbortSignal;\n  onOpen?: (socket: WebSocketLike) => void;\n  /** One decoded message. Throws and rejections go to `onProcessingError`. */\n  onMessageText: (text: string) => void | PromiseLike<void>;\n  /** Constructor throws and message decoding/processing failures. */\n  onProcessingError: (error: unknown) => void;\n  onSocketError?: () => void;\n  /**\n   * Receives the close code and reason when the transport provides them\n   * (native `CloseEvent` / `ws` close event).\n   */\n  onClose?: (info: { code?: number; reason?: string }) => void;\n  /** Also called (without opening a socket) when the signal is already aborted. */\n  onAbort?: (reason: unknown) => void;\n}): WebSocketConnection {\n  let socket: WebSocketLike | undefined;\n  let abortListener: (() => void) | undefined;\n\n  const close = (code?: number) => {\n    if (abortListener != null) {\n      abortSignal?.removeEventListener('abort', abortListener);\n      abortListener = undefined;\n    }\n    try {\n      socket?.close(code);\n    } catch {\n      // socket may already be closed\n    }\n  };\n\n  if (abortSignal?.aborted) {\n    onAbort?.(abortSignal.reason ?? new Error('Aborted'));\n    return { socket: undefined, close };\n  }\n\n  try {\n    const WebSocketConstructor = getWebSocketConstructor(webSocket);\n    // native `WebSocket` ignores the headers option; header-capable\n    // implementations like `ws` forward it and throw on undefined values:\n    socket = new WebSocketConstructor(url, protocols, {\n      headers: removeUndefinedEntries(headers ?? {}),\n    });\n  } catch (error) {\n    onProcessingError(error);\n    return { socket: undefined, close };\n  }\n\n  if (abortSignal != null && onAbort != null) {\n    abortListener = () => onAbort(abortSignal.reason ?? new Error('Aborted'));\n    abortSignal.addEventListener('abort', abortListener, { once: true });\n  }\n\n  const openedSocket = socket;\n  socket.onopen = () => {\n    try {\n      onOpen?.(openedSocket);\n    } catch (error) {\n      onProcessingError(error);\n    }\n  };\n  // Messages are processed through a promise tail so async decoding (e.g.\n  // Blob frames) cannot reorder them, and error/close handling cannot\n  // overtake a still-decoding terminal frame.\n  let tail: Promise<void> = Promise.resolve();\n  socket.onmessage = event => {\n    tail = tail\n      .then(() => readWebSocketMessageText(event.data))\n      .then(text => onMessageText(text))\n      .catch(onProcessingError);\n  };\n  socket.onerror = () => {\n    tail = tail.then(() => onSocketError?.()).catch(onProcessingError);\n  };\n  socket.onclose = event => {\n    // Extract close diagnostics when the transport provides them (native\n    // `CloseEvent` and `ws` both carry `code` and `reason`).\n    const closeEvent = event as\n      | { code?: unknown; reason?: unknown }\n      | null\n      | undefined;\n    const code =\n      typeof closeEvent?.code === 'number' ? closeEvent.code : undefined;\n    const reason =\n      typeof closeEvent?.reason === 'string' ? closeEvent.reason : undefined;\n    tail = tail\n      .then(() => onClose?.({ code, reason }))\n      .catch(onProcessingError);\n  };\n\n  return { socket, close };\n}\n", "/**\n * Converts an AsyncIterator to a ReadableStream.\n *\n * @template T - The type of elements produced by the AsyncIterator.\n * @param { <T>} iterator - The AsyncIterator to convert.\n * @returns {ReadableStream<T>} - A ReadableStream that provides the same data as the AsyncIterator.\n */\nexport function convertAsyncIteratorToReadableStream<T>(\n  iterator: AsyncIterator<T>,\n): ReadableStream<T> {\n  let cancelled = false;\n\n  return new ReadableStream<T>({\n    /**\n     * Called when the consumer wants to pull more data from the stream.\n     *\n     * @param {ReadableStreamDefaultController<T>} controller - The controller to enqueue data into the stream.\n     * @returns {Promise<void>}\n     */\n    async pull(controller) {\n      if (cancelled) return;\n      try {\n        const { value, done } = await iterator.next();\n        if (done) {\n          controller.close();\n        } else {\n          controller.enqueue(value);\n        }\n      } catch (error) {\n        controller.error(error);\n      }\n    },\n    /**\n     * Called when the consumer cancels the stream.\n     */\n    async cancel(reason?: unknown) {\n      cancelled = true;\n      if (iterator.return) {\n        try {\n          await iterator.return(reason);\n        } catch {\n          // intentionally ignore errors during cancellation\n        }\n      }\n    },\n  });\n}\n", "// btoa and atob need to be invoked as a function call, not as a method call.\n// Otherwise CloudFlare will throw a\n// \"TypeError: Illegal invocation: function called with incorrect this reference\"\nconst { btoa, atob } = globalThis;\n\nexport function convertBase64ToUint8Array(base64String: string) {\n  const base64Url = base64String.replace(/-/g, '+').replace(/_/g, '/');\n  const latin1string = atob(base64Url);\n  return Uint8Array.from(latin1string, byte => byte.codePointAt(0)!);\n}\n\nexport function convertUint8ArrayToBase64(array: Uint8Array): string {\n  let latin1string = '';\n\n  // Note: regular for loop to support older JavaScript versions that\n  // do not support for..of on Uint8Array\n  for (let i = 0; i < array.length; i++) {\n    latin1string += String.fromCodePoint(array[i]);\n  }\n\n  return btoa(latin1string);\n}\n\nexport function convertToBase64(value: string | Uint8Array): string {\n  return value instanceof Uint8Array ? convertUint8ArrayToBase64(value) : value;\n}\n", "import type { FilePart } from './types/content-part';\nimport { convertBase64ToUint8Array } from './uint8-utils';\n\ntype InlineFileData = Extract<\n  FilePart['data'],\n  { type: 'data' } | { type: 'text' }\n>;\n\n/**\n * Converts inline file data (a tagged `data` or `text` shape) into raw bytes.\n *\n * - `{ type: 'text', text }` → UTF-8 encoded bytes\n * - `{ type: 'data', data: Uint8Array | Buffer }` → returned as-is\n * - `{ type: 'data', data: ArrayBuffer }` → wrapped in a `Uint8Array`\n * - `{ type: 'data', data: string }` → decoded as base64\n */\nexport function convertInlineFileDataToUint8Array(\n  data: InlineFileData,\n): Uint8Array {\n  if (data.type === 'text') {\n    return new TextEncoder().encode(data.text);\n  }\n  if (data.data instanceof Uint8Array) {\n    return data.data;\n  }\n  if (data.data instanceof ArrayBuffer) {\n    return new Uint8Array(data.data);\n  }\n  return convertBase64ToUint8Array(data.data);\n}\n", "import type { ImageModelV4File } from '@ai-sdk/provider';\nimport { convertUint8ArrayToBase64 } from './uint8-utils';\n\n/**\n * Convert an ImageModelV4File to a URL or data URI string.\n *\n * If the file is a URL, it returns the URL as-is.\n * If the file is base64 data, it returns a data URI with the base64 data.\n * If the file is a Uint8Array, it converts it to base64 and returns a data URI.\n */\nexport function convertImageModelFileToDataUri(file: ImageModelV4File): string {\n  if (file.type === 'url') return file.url;\n\n  return `data:${file.mediaType};base64,${\n    typeof file.data === 'string'\n      ? file.data\n      : convertUint8ArrayToBase64(file.data)\n  }`;\n}\n", "/**\n * Converts an input object to FormData for multipart/form-data requests.\n *\n * Handles the following cases:\n * - `null` or `undefined` values are skipped\n * - Arrays with a single element are appended as a single value\n * - Arrays with multiple elements are appended with `[]` suffix (e.g., `image[]`)\n *   unless `useArrayBrackets` is set to `false`\n * - All other values are appended directly\n *\n * @param input - The input object to convert. Use a generic type for type validation.\n * @param options - Optional configuration object.\n * @param options.useArrayBrackets - Whether to add `[]` suffix for multi-element arrays.\n *   Defaults to `true`. Set to `false` for APIs that expect repeated keys without brackets.\n * @returns A FormData object containing the input values.\n *\n * @example\n * ```ts\n * type MyInput = {\n *   model: string;\n *   prompt: string;\n *   images: Blob[];\n * };\n *\n * const formData = convertToFormData<MyInput>({\n *   model: 'gpt-image-1',\n *   prompt: 'A cat',\n *   images: [blob1, blob2],\n * });\n * ```\n */\nexport function convertToFormData<T extends Record<string, unknown>>(\n  input: T,\n  options: { useArrayBrackets?: boolean } = {},\n): FormData {\n  const { useArrayBrackets = true } = options;\n  const formData = new FormData();\n\n  for (const [key, value] of Object.entries(input)) {\n    if (value == null) {\n      continue;\n    }\n\n    if (Array.isArray(value)) {\n      if (value.length === 1) {\n        formData.append(key, value[0] as string | Blob);\n        continue;\n      }\n\n      const arrayKey = useArrayBrackets ? `${key}[]` : key;\n      for (const item of value) {\n        formData.append(arrayKey, item as string | Blob);\n      }\n      continue;\n    }\n\n    formData.append(key, value as string | Blob);\n  }\n\n  return formData;\n}\n", "import type { LanguageModelV4ResponseMetadata } from '@ai-sdk/provider';\n\n/**\n * Converts common provider response fields into language model response\n * metadata.\n */\nexport function createLanguageModelResponseMetadata({\n  id,\n  model,\n  created,\n}: {\n  id?: string | null;\n  model?: string | null;\n  created?: number | null;\n}): LanguageModelV4ResponseMetadata {\n  return {\n    id: id ?? undefined,\n    modelId: model ?? undefined,\n    timestamp: created != null ? new Date(created * 1000) : undefined,\n  };\n}\n", "import type { LanguageModelV4Usage } from '@ai-sdk/provider';\n\n/**\n * Creates an empty language model usage result for unavailable usage data.\n */\nexport function createNullLanguageModelUsage(): LanguageModelV4Usage {\n  return {\n    inputTokens: {\n      total: undefined,\n      noCache: undefined,\n      cacheRead: undefined,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: undefined,\n      text: undefined,\n      reasoning: undefined,\n    },\n    raw: undefined,\n  };\n}\n", "import type {\n  LanguageModelV4FunctionTool,\n  LanguageModelV4ProviderTool,\n} from '@ai-sdk/provider';\n\n/**\n * Interface for mapping between custom tool names and provider tool names.\n */\nexport interface ToolNameMapping {\n  /**\n   * Maps a custom tool name (used by the client) to the provider's tool name.\n   * If the custom tool name does not have a mapping, returns the input name.\n   *\n   * @param customToolName - The custom name of the tool defined by the client.\n   * @returns The corresponding provider tool name, or the input name if not mapped.\n   */\n  toProviderToolName: (customToolName: string) => string;\n\n  /**\n   * Maps a provider tool name to the custom tool name used by the client.\n   * If the provider tool name does not have a mapping, returns the input name.\n   *\n   * @param providerToolName - The name of the tool as understood by the provider.\n   * @returns The corresponding custom tool name, or the input name if not mapped.\n   */\n  toCustomToolName: (providerToolName: string) => string;\n}\n\n/**\n * @param tools - Tools that were passed to the language model.\n * @param providerToolNames - Maps the provider tool ids to the provider tool names.\n */\nexport function createToolNameMapping({\n  tools = [],\n  providerToolNames,\n}: {\n  /**\n   * Tools that were passed to the language model.\n   */\n  tools:\n    | Array<LanguageModelV4FunctionTool | LanguageModelV4ProviderTool>\n    | undefined;\n\n  /**\n   * Maps the provider tool ids to the provider tool names.\n   */\n  providerToolNames: Record<`${string}.${string}`, string>;\n}): ToolNameMapping {\n  const customToolNameToProviderToolName: Record<string, string> = {};\n  const providerToolNameToCustomToolName: Record<string, string> = {};\n\n  for (const tool of tools) {\n    if (tool.type === 'provider' && tool.id in providerToolNames) {\n      const providerToolName = providerToolNames[tool.id];\n      customToolNameToProviderToolName[tool.name] = providerToolName;\n      providerToolNameToCustomToolName[providerToolName] = tool.name;\n    }\n  }\n\n  return {\n    toProviderToolName: (customToolName: string) =>\n      customToolNameToProviderToolName[customToolName] ?? customToolName,\n    toCustomToolName: (providerToolName: string) =>\n      providerToolNameToCustomToolName[providerToolName] ?? providerToolName,\n  };\n}\n", "/**\n * Delayed promise. It is only constructed once the value is accessed.\n * This is useful to avoid unhandled promise rejections when the promise is created\n * but not accessed.\n */\nexport class DelayedPromise<T> {\n  private status:\n    | { type: 'pending' }\n    | { type: 'resolved'; value: T }\n    | { type: 'rejected'; error: unknown } = { type: 'pending' };\n  private _promise: Promise<T> | undefined;\n  private _resolve: undefined | ((value: T) => void) = undefined;\n  private _reject: undefined | ((error: unknown) => void) = undefined;\n\n  get promise(): Promise<T> {\n    if (this._promise) {\n      return this._promise;\n    }\n\n    this._promise = new Promise<T>((resolve, reject) => {\n      if (this.status.type === 'resolved') {\n        resolve(this.status.value);\n      } else if (this.status.type === 'rejected') {\n        reject(this.status.error);\n      }\n\n      this._resolve = resolve;\n      this._reject = reject;\n    });\n\n    return this._promise;\n  }\n\n  resolve(value: T): void {\n    this.status = { type: 'resolved', value };\n\n    if (this._promise) {\n      this._resolve?.(value);\n    }\n  }\n\n  reject(error: unknown): void {\n    this.status = { type: 'rejected', error };\n\n    if (this._promise) {\n      this._reject?.(error);\n    }\n  }\n\n  isResolved(): boolean {\n    return this.status.type === 'resolved';\n  }\n\n  isRejected(): boolean {\n    return this.status.type === 'rejected';\n  }\n\n  isPending(): boolean {\n    return this.status.type === 'pending';\n  }\n}\n", "import { convertBase64ToUint8Array } from './uint8-utils';\n\nconst imageMediaTypeSignatures = [\n  {\n    mediaType: 'image/gif' as const,\n    bytesPrefix: [0x47, 0x49, 0x46], // GIF\n  },\n  {\n    mediaType: 'image/png' as const,\n    bytesPrefix: [0x89, 0x50, 0x4e, 0x47], // PNG\n  },\n  {\n    mediaType: 'image/jpeg' as const,\n    bytesPrefix: [0xff, 0xd8], // JPEG\n  },\n  {\n    mediaType: 'image/webp' as const,\n    bytesPrefix: [\n      0x52,\n      0x49,\n      0x46,\n      0x46, // \"RIFF\"\n      null,\n      null,\n      null,\n      null, // file size (variable)\n      0x57,\n      0x45,\n      0x42,\n      0x50, // \"WEBP\"\n    ],\n  },\n  {\n    mediaType: 'image/bmp' as const,\n    bytesPrefix: [0x42, 0x4d],\n  },\n  {\n    mediaType: 'image/tiff' as const,\n    bytesPrefix: [0x49, 0x49, 0x2a, 0x00],\n  },\n  {\n    mediaType: 'image/tiff' as const,\n    bytesPrefix: [0x4d, 0x4d, 0x00, 0x2a],\n  },\n  {\n    mediaType: 'image/avif' as const,\n    bytesPrefix: [\n      0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x61, 0x76, 0x69, 0x66,\n    ],\n  },\n  {\n    mediaType: 'image/heic' as const,\n    bytesPrefix: [\n      0x00, 0x00, 0x00, 0x20, 0x66, 0x74, 0x79, 0x70, 0x68, 0x65, 0x69, 0x63,\n    ],\n  },\n] as const;\n\nconst documentMediaTypeSignatures = [\n  {\n    mediaType: 'application/pdf' as const,\n    bytesPrefix: [0x25, 0x50, 0x44, 0x46], // %PDF\n  },\n] as const;\n\nconst audioMediaTypeSignaturesWithoutMp4 = [\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xfb],\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xfa],\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xf3],\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xf2],\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xe3],\n  },\n  {\n    mediaType: 'audio/mpeg' as const,\n    bytesPrefix: [0xff, 0xe2],\n  },\n  {\n    mediaType: 'audio/wav' as const,\n    bytesPrefix: [\n      0x52, // R\n      0x49, // I\n      0x46, // F\n      0x46, // F\n      null,\n      null,\n      null,\n      null,\n      0x57, // W\n      0x41, // A\n      0x56, // V\n      0x45, // E\n    ],\n  },\n  {\n    mediaType: 'audio/ogg' as const,\n    bytesPrefix: [0x4f, 0x67, 0x67, 0x53],\n  },\n  {\n    mediaType: 'audio/flac' as const,\n    bytesPrefix: [0x66, 0x4c, 0x61, 0x43],\n  },\n  {\n    mediaType: 'audio/aac' as const,\n    bytesPrefix: [0x40, 0x15, 0x00, 0x00],\n  },\n  {\n    mediaType: 'audio/webm',\n    bytesPrefix: [0x1a, 0x45, 0xdf, 0xa3],\n  },\n] as const;\n\nconst audioMediaTypeSignatures = [\n  ...audioMediaTypeSignaturesWithoutMp4,\n  {\n    mediaType: 'audio/mp4' as const,\n    bytesPrefix: [\n      0x00,\n      0x00,\n      0x00,\n      null,\n      0x66,\n      0x74,\n      0x79,\n      0x70, // ftyp\n    ],\n  },\n] as const;\n\nconst videoMediaTypeSignatures = [\n  {\n    mediaType: 'video/mp4' as const,\n    bytesPrefix: [\n      0x00,\n      0x00,\n      0x00,\n      null,\n      0x66,\n      0x74,\n      0x79,\n      0x70, // ftyp\n    ],\n  },\n  {\n    mediaType: 'video/webm' as const,\n    bytesPrefix: [0x1a, 0x45, 0xdf, 0xa3], // EBML\n  },\n  {\n    mediaType: 'video/quicktime' as const,\n    bytesPrefix: [\n      0x00,\n      0x00,\n      0x00,\n      0x14,\n      0x66,\n      0x74,\n      0x79,\n      0x70,\n      0x71,\n      0x74, // ftypqt\n    ],\n  },\n  {\n    mediaType: 'video/x-msvideo' as const,\n    bytesPrefix: [0x52, 0x49, 0x46, 0x46], // RIFF (AVI)\n  },\n] as const;\n\nconst DEFAULT_SNIFF_BYTES = 18;\n\n// Longest signature prefix in the tables above (e.g. image/avif = 12 bytes).\nconst MAX_SIGNATURE_BYTES = 12;\n\n// Largest ID3v2 tag (10-byte header + body) skipped to reach the audio frame.\n// Covers typical tags including embedded cover art while keeping the decode\n// bounded and O(1) in the attachment size. Exported for boundary tests.\nexport const MAX_ID3_TAG_BYTES = 128 * 1024;\n\n// Total prefix decoded when an ID3 tag is present: the tag plus room for the\n// trailing signature, so a tag right at the size limit stays detectable.\nconst ID3_SCAN_BYTES = MAX_ID3_TAG_BYTES + MAX_SIGNATURE_BYTES;\n\n// Decode/view exactly the first `maxBytes` bytes from the front of the input.\n// The base64 and raw-byte paths yield the same length, so detection does not\n// depend on the input's representation.\nfunction decodePrefix(data: Uint8Array | string, maxBytes: number): Uint8Array {\n  if (typeof data !== 'string') {\n    return data.length > maxBytes ? data.subarray(0, maxBytes) : data;\n  }\n  // base64: 4 chars -> 3 bytes. Decode whole 4-char groups, then trim the 0-2\n  // extra bytes so the result matches the raw-byte path exactly.\n  const maxChars = Math.ceil(maxBytes / 3) * 4;\n  const bytes = convertBase64ToUint8Array(\n    data.substring(0, Math.min(data.length, maxChars)),\n  );\n  return bytes.length > maxBytes ? bytes.subarray(0, maxBytes) : bytes;\n}\n\nfunction hasID3(bytes: Uint8Array): boolean {\n  return (\n    bytes.length > 10 &&\n    bytes[0] === 0x49 && // 'I'\n    bytes[1] === 0x44 && // 'D'\n    bytes[2] === 0x33 // '3'\n  );\n}\n\nconst stripID3 = (bytes: Uint8Array): Uint8Array => {\n  const id3Size =\n    ((bytes[6] & 0x7f) << 21) |\n    ((bytes[7] & 0x7f) << 14) |\n    ((bytes[8] & 0x7f) << 7) |\n    (bytes[9] & 0x7f);\n  return bytes.subarray(id3Size + 10);\n};\n\ntype MediaTypeSignatures = ReadonlyArray<{\n  readonly mediaType: string;\n  readonly bytesPrefix: ReadonlyArray<number | null>;\n}>;\n\nfunction detectMediaTypeBySignatures<T extends MediaTypeSignatures>({\n  data,\n  signatures,\n}: {\n  data: Uint8Array | string;\n  signatures: T;\n}): T[number]['mediaType'] | undefined {\n  let bytes = decodePrefix(data, DEFAULT_SNIFF_BYTES);\n\n  // ID3v2-tagged MP3s carry the audio frame after the tag; scan a bounded\n  // prefix past it rather than decoding the whole input.\n  if (hasID3(bytes)) {\n    bytes = stripID3(decodePrefix(data, ID3_SCAN_BYTES));\n  }\n\n  for (const signature of signatures) {\n    if (\n      bytes.length >= signature.bytesPrefix.length &&\n      signature.bytesPrefix.every(\n        (byte, index) => byte === null || bytes[index] === byte,\n      )\n    ) {\n      return signature.mediaType;\n    }\n  }\n\n  return undefined;\n}\n\nconst topLevelSignatureTables = {\n  image: imageMediaTypeSignatures,\n  audio: audioMediaTypeSignatures,\n  video: videoMediaTypeSignatures,\n  application: documentMediaTypeSignatures,\n} as const;\n\ntype TopLevelMediaType = keyof typeof topLevelSignatureTables;\n\n/**\n * Detect the IANA media type of a file from its raw bytes or base64 string.\n *\n * - When `topLevelType` is omitted, every known signature is considered\n *   (image, audio, video, and application). Returns `undefined` when the\n *   bytes do not match any known signature.\n * - When `topLevelType` is provided, only signatures for that top-level\n *   segment are considered. Returns `undefined` for unsupported segments\n *   (e.g. `\"text\"`) or when no signature matches.\n */\nexport function detectMediaType({\n  data,\n  topLevelType,\n}: {\n  data: Uint8Array | string;\n  topLevelType?: string;\n}): string | undefined {\n  if (topLevelType === undefined) {\n    return detectMediaTypeBySignatures({\n      data,\n      signatures: [\n        ...imageMediaTypeSignatures,\n        ...documentMediaTypeSignatures,\n        // MP4 containers cannot be distinguished as audio or video by ftyp alone.\n        // Preserve the generic detection result as video/mp4.\n        ...audioMediaTypeSignaturesWithoutMp4,\n        ...videoMediaTypeSignatures,\n      ],\n    });\n  }\n\n  const signatures = topLevelSignatureTables[topLevelType as TopLevelMediaType];\n\n  if (signatures === undefined) {\n    return undefined;\n  }\n\n  return detectMediaTypeBySignatures({ data, signatures });\n}\n\n/**\n * Returns the top-level segment of a media type (the portion before `/`).\n *\n * Examples:\n *   - `\"image/png\"` -> `\"image\"`\n *   - `\"image/*\"` -> `\"image\"`\n *   - `\"image\"` -> `\"image\"`\n *   - `\"image/\"` -> `\"image\"`\n *   - `\"\"` -> `\"\"`\n *   - `\"/\"` -> `\"\"`\n */\nexport function getTopLevelMediaType(mediaType: string): string {\n  const slashIndex = mediaType.indexOf('/');\n  return slashIndex === -1 ? mediaType : mediaType.substring(0, slashIndex);\n}\n\n/**\n * Returns `true` only when the given media type has a non-empty, non-wildcard\n * subtype (i.e. matches the form `type/subtype`, and `subtype` is not `*`).\n *\n * Examples:\n *   - `\"image/png\"` -> `true`\n *   - `\"image/*\"` -> `false`\n *   - `\"image\"` -> `false`\n *   - `\"image/\"` -> `false`\n *   - `\"\"` -> `false`\n *   - `\"/\"` -> `false`\n */\nexport function isFullMediaType(mediaType: string): boolean {\n  const slashIndex = mediaType.indexOf('/');\n  if (slashIndex === -1) {\n    return false;\n  }\n  const subtype = mediaType.substring(slashIndex + 1);\n  return subtype.length > 0 && subtype !== '*';\n}\n", "/**\n * Cancels a response body to release the underlying connection.\n *\n * When a fetch Response is rejected without consuming its body (e.g. a failed\n * status code, an open-redirect rejection, or a Content-Length that exceeds the\n * size limit), the underlying TCP socket is not returned to the connection pool\n * and may stay open until the process runs out of file descriptors. Cancelling\n * the body avoids this leak.\n *\n * Errors thrown while cancelling are ignored: the body may already be locked,\n * disturbed, or absent, none of which should mask the original rejection.\n */\nexport async function cancelResponseBody(response: Response): Promise<void> {\n  try {\n    await response.body?.cancel();\n  } catch {\n    // Ignore cancel errors so the original rejection is preserved.\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_DownloadError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class DownloadError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly url: string;\n  readonly statusCode?: number;\n  readonly statusText?: string;\n\n  constructor({\n    url,\n    statusCode,\n    statusText,\n    cause,\n    message = cause == null\n      ? `Failed to download ${url}: ${statusCode} ${statusText}`\n      : `Failed to download ${url}: ${cause}`,\n  }: {\n    url: string;\n    statusCode?: number;\n    statusText?: string;\n    message?: string;\n    cause?: unknown;\n  }) {\n    super({ name, message, cause });\n\n    this.url = url;\n    this.statusCode = statusCode;\n    this.statusText = statusText;\n  }\n\n  static isInstance(error: unknown): error is DownloadError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "/**\n * Returns `true` when running in a browser.\n *\n * Detection keys on the presence of a global `window`, matching the browser\n * check used elsewhere in this package (see `getRuntimeEnvironmentUserAgent`)\n * so the SDK has a single, consistent definition of \"browser\". Server runtimes\n * (Node.js, Deno, Bun, edge/workers) do not define `window`.\n */\nexport function isBrowserRuntime(\n  globalThisAny: any = globalThis as any,\n): boolean {\n  return globalThisAny.window != null;\n}\n", "/**\n * Returns true when `url` has the same origin (scheme + host + port) as\n * `baseUrl`.\n *\n * Used to decide whether provider credentials may be attached to a request to a\n * URL taken from a provider response (e.g. a polling or media-download URL).\n * Credentials must only be sent to the provider's own origin; a response that\n * names a foreign host (a CDN, or an attacker-controlled host if the response\n * is tampered with) must not receive the API key.\n *\n * Returns false if either value is not a valid absolute URL (fail-closed).\n */\nexport function isSameOrigin(url: string, baseUrl: string): boolean {\n  try {\n    return new URL(url).origin === new URL(baseUrl).origin;\n  } catch {\n    return false;\n  }\n}\n", "import { DownloadError } from './download-error';\n\n/**\n * Validates that a URL is safe to download from, blocking private/internal addresses\n * to prevent SSRF attacks.\n *\n * Note: this function performs string/literal-IP checks only. The Node.js\n * download fetch additionally validates and pins DNS results at connect time.\n *\n * @param url - The URL string to validate.\n * @throws DownloadError if the URL is unsafe.\n */\nexport function validateDownloadUrl(url: string): void {\n  let parsed: URL;\n  try {\n    parsed = new URL(url);\n  } catch {\n    throw new DownloadError({\n      url,\n      message: `Invalid URL: ${url}`,\n    });\n  }\n\n  // data: URLs are inline content, so they do not trigger a network fetch or SSRF risk.\n  if (parsed.protocol === 'data:') {\n    return;\n  }\n\n  // Only allow http and https network protocols\n  if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') {\n    throw new DownloadError({\n      url,\n      message: `URL scheme must be http, https, or data, got ${parsed.protocol}`,\n    });\n  }\n\n  // Strip a trailing dot so a fully-qualified name like `localhost.` (which resolves\n  // identically to `localhost`) cannot bypass the hostname blocklist below.\n  const hostname = parsed.hostname.toLowerCase().replace(/\\.+$/, '');\n\n  // Block empty hostname\n  if (!hostname) {\n    throw new DownloadError({\n      url,\n      message: `URL must have a hostname`,\n    });\n  }\n\n  // Block localhost and .local domains\n  if (\n    hostname === 'localhost' ||\n    hostname.endsWith('.local') ||\n    hostname.endsWith('.localhost')\n  ) {\n    throw new DownloadError({\n      url,\n      message: `URL with hostname ${hostname} is not allowed`,\n    });\n  }\n\n  // Check for IPv6 addresses (enclosed in brackets in URLs)\n  if (hostname.startsWith('[') && hostname.endsWith(']')) {\n    const ipv6 = hostname.slice(1, -1);\n    if (isPrivateIPv6(ipv6)) {\n      throw new DownloadError({\n        url,\n        message: `URL with IPv6 address ${hostname} is not allowed`,\n      });\n    }\n    return;\n  }\n\n  // Check for IPv4 addresses\n  if (isIPv4(hostname)) {\n    if (isPrivateIPv4(hostname)) {\n      throw new DownloadError({\n        url,\n        message: `URL with IP address ${hostname} is not allowed`,\n      });\n    }\n    return;\n  }\n}\n\n/**\n * Validates an address returned by DNS before it is used to open a socket.\n * This is intentionally not exported from the package entry point.\n */\nexport function validateDownloadAddress({\n  address,\n  family,\n  hostname,\n}: {\n  address: string;\n  family: number;\n  hostname: string;\n}): void {\n  const isUnsafe =\n    family === 4\n      ? !isIPv4(address) || isPrivateIPv4(address)\n      : family === 6\n        ? isPrivateIPv6(address)\n        : true;\n\n  if (isUnsafe) {\n    throw new DownloadError({\n      url: hostname,\n      message: `Hostname ${hostname} resolved to disallowed IP address ${address}`,\n    });\n  }\n}\n\nfunction isIPv4(hostname: string): boolean {\n  const parts = hostname.split('.');\n  if (parts.length !== 4) return false;\n  return parts.every(part => {\n    const num = Number(part);\n    return (\n      Number.isInteger(num) && num >= 0 && num <= 255 && String(num) === part\n    );\n  });\n}\n\nfunction isPrivateIPv4(ip: string): boolean {\n  const parts = ip.split('.').map(Number);\n  const [a, b, c] = parts;\n\n  // 0.0.0.0/8\n  if (a === 0) return true;\n  // 10.0.0.0/8\n  if (a === 10) return true;\n  // 100.64.0.0/10 (CGNAT, used by some cloud providers for internal traffic)\n  if (a === 100 && b >= 64 && b <= 127) return true;\n  // 127.0.0.0/8\n  if (a === 127) return true;\n  // 169.254.0.0/16\n  if (a === 169 && b === 254) return true;\n  // 172.16.0.0/12\n  if (a === 172 && b >= 16 && b <= 31) return true;\n  // 192.0.0.0/24 (IETF protocol assignments)\n  if (a === 192 && b === 0 && c === 0) return true;\n  // 192.0.2.0/24 (TEST-NET-1, documentation)\n  if (a === 192 && b === 0 && c === 2) return true;\n  // 192.168.0.0/16\n  if (a === 192 && b === 168) return true;\n  // 198.18.0.0/15 (benchmarking)\n  if (a === 198 && (b === 18 || b === 19)) return true;\n  // 198.51.100.0/24 (TEST-NET-2, documentation)\n  if (a === 198 && b === 51 && c === 100) return true;\n  // 203.0.113.0/24 (TEST-NET-3, documentation)\n  if (a === 203 && b === 0 && c === 113) return true;\n  // 224.0.0.0/4 (multicast) and 240.0.0.0/4 (reserved, incl. 255.255.255.255 broadcast)\n  if (a >= 224) return true;\n\n  return false;\n}\n\n/**\n * Expands an IPv6 address string into its 8 16-bit groups, handling `::`\n * compression and an optional dotted-decimal IPv4 tail (e.g. `::ffff:127.0.0.1`).\n *\n * @returns the 8 groups, or null if the input is not a parseable IPv6 address.\n */\nfunction parseIPv6(ip: string): number[] | null {\n  // Strip an optional zone id (e.g. `fe80::1%eth0`).\n  let address = ip.toLowerCase();\n  const zoneIndex = address.indexOf('%');\n  if (zoneIndex !== -1) {\n    address = address.slice(0, zoneIndex);\n  }\n\n  // At most one `::` compression marker is allowed.\n  const halves = address.split('::');\n  if (halves.length > 2) return null;\n\n  const toGroups = (segment: string): number[] | null => {\n    if (segment === '') return [];\n    const groups: number[] = [];\n    const parts = segment.split(':');\n    for (let i = 0; i < parts.length; i++) {\n      const part = parts[i];\n      // A dotted-decimal IPv4 tail is only valid as the final part.\n      if (part.includes('.')) {\n        if (i !== parts.length - 1 || !isIPv4(part)) return null;\n        const [a, b, c, d] = part.split('.').map(Number);\n        groups.push((a << 8) | b, (c << 8) | d);\n        continue;\n      }\n      if (!/^[0-9a-f]{1,4}$/.test(part)) return null;\n      groups.push(parseInt(part, 16));\n    }\n    return groups;\n  };\n\n  const head = toGroups(halves[0]);\n  if (head === null) return null;\n\n  if (halves.length === 2) {\n    const tail = toGroups(halves[1]);\n    if (tail === null) return null;\n    const fill = 8 - head.length - tail.length;\n    if (fill < 0) return null;\n    return [...head, ...new Array<number>(fill).fill(0), ...tail];\n  }\n\n  // No `::` compression: the address must contain exactly 8 groups.\n  return head.length === 8 ? head : null;\n}\n\nfunction isPrivateIPv6(ip: string): boolean {\n  const groups = parseIPv6(ip);\n\n  // Fail closed: if the address cannot be parsed, treat it as unsafe.\n  if (groups === null) return true;\n\n  const topZero = (count: number) =>\n    groups.slice(0, count).every(group => group === 0);\n\n  // ::1 (loopback) and :: (unspecified)\n  if (topZero(7) && (groups[7] === 0 || groups[7] === 1)) return true;\n\n  // fc00::/7 (unique local addresses)\n  if ((groups[0] & 0xfe00) === 0xfc00) return true;\n\n  // fe80::/10 (link-local)\n  if ((groups[0] & 0xffc0) === 0xfe80) return true;\n\n  // fec0::/10 (site-local, deprecated but still routable internally)\n  if ((groups[0] & 0xffc0) === 0xfec0) return true;\n\n  // ff00::/8 (multicast)\n  if ((groups[0] & 0xff00) === 0xff00) return true;\n\n  // 2001:db8::/32 (documentation range, not globally routable)\n  if (groups[0] === 0x2001 && groups[1] === 0x0db8) return true;\n\n  // 3fff::/20 (documentation range, RFC 9637)\n  if (groups[0] === 0x3fff && (groups[1] & 0xf000) === 0x0000) return true;\n\n  // Addresses that embed an IPv4 address in their last 32 bits. For these we\n  // extract the embedded IPv4 and reuse the IPv4 private-range checks, so that\n  // e.g. ::ffff:127.0.0.1 or 64:ff9b::169.254.169.254 are blocked.\n  const embedsIPv4 =\n    // ::/96 — IPv4-compatible (deprecated)\n    topZero(6) ||\n    // ::ffff:0:0/96 — IPv4-mapped (ffff in group 5)\n    (topZero(5) && groups[5] === 0xffff) ||\n    // ::ffff:0:0/96 — IPv4-translated form (ffff in group 4, group 5 zero)\n    (topZero(4) && groups[4] === 0xffff && groups[5] === 0) ||\n    // 64:ff9b::/96 — NAT64 well-known prefix\n    (groups[0] === 0x0064 &&\n      groups[1] === 0xff9b &&\n      groups[2] === 0 &&\n      groups[3] === 0 &&\n      groups[4] === 0 &&\n      groups[5] === 0) ||\n    // 64:ff9b:1::/48 — NAT64 local-use prefix\n    (groups[0] === 0x0064 && groups[1] === 0xff9b && groups[2] === 0x0001);\n\n  if (embedsIPv4) {\n    const a = (groups[6] >> 8) & 0xff;\n    const b = groups[6] & 0xff;\n    const c = (groups[7] >> 8) & 0xff;\n    const d = groups[7] & 0xff;\n    return isPrivateIPv4(`${a}.${b}.${c}.${d}`);\n  }\n\n  return false;\n}\n", "import type * as nodeDnsModule from 'node:dns';\nimport type * as nodeModule from 'node:module';\nimport type * as undiciModule from 'undici';\nimport type { FetchFunction } from './fetch-function';\nimport { validateDownloadAddress } from './validate-download-url';\n\ntype NodeDns = typeof nodeDnsModule;\ntype NodeModule = typeof nodeModule;\ntype Undici = typeof undiciModule;\n\ntype LookupAddress = {\n  address: string;\n  family: number;\n};\n\ntype LookupOptions = {\n  all?: boolean;\n  family?: number;\n  hints?: number;\n  order?: 'ipv4first' | 'ipv6first' | 'verbatim';\n  verbatim?: boolean;\n};\n\ntype Lookup = (\n  hostname: string,\n  options: LookupOptions & { all: true },\n  callback: (\n    error: NodeJS.ErrnoException | null,\n    addresses: LookupAddress[],\n  ) => void,\n) => void;\n\ntype LookupAllCallback = (\n  error: NodeJS.ErrnoException | null,\n  addresses: LookupAddress[],\n) => void;\n\ntype LookupOneCallback = (\n  error: NodeJS.ErrnoException | null,\n  address: string,\n  family: number,\n) => void;\n\ntype SafeLookup = {\n  (\n    hostname: string,\n    options: LookupOptions & { all: true },\n    callback: LookupAllCallback,\n  ): void;\n  (\n    hostname: string,\n    options: LookupOptions & { all?: false },\n    callback: LookupOneCallback,\n  ): void;\n};\n\n/**\n * Creates a DNS lookup hook that validates every returned address before\n * returning the callback shape requested by the HTTP connector. Because\n * resolution and validation happen inside the connector, the socket is pinned\n * to the validated result and DNS rebinding cannot introduce a second lookup.\n */\nexport function createSafeLookup(lookup: Lookup): SafeLookup {\n  return ((\n    hostname: string,\n    options: LookupOptions,\n    callback: LookupAllCallback | LookupOneCallback,\n  ): void => {\n    lookup(hostname, { ...options, all: true }, (error, addresses) => {\n      if (error) {\n        (callback as (error: Error) => void)(error);\n        return;\n      }\n\n      try {\n        const [firstAddress] = addresses;\n\n        if (firstAddress == null) {\n          throw new Error(`Hostname ${hostname} did not resolve to an address`);\n        }\n\n        for (const { address, family } of addresses) {\n          validateDownloadAddress({ address, family, hostname });\n        }\n\n        if (options.all === true) {\n          (callback as LookupAllCallback)(null, addresses);\n        } else {\n          (callback as LookupOneCallback)(\n            null,\n            firstAddress.address,\n            firstAddress.family,\n          );\n        }\n      } catch (error) {\n        (callback as (error: Error) => void)(\n          error instanceof Error ? error : new Error(String(error)),\n        );\n      }\n    });\n  }) as SafeLookup;\n}\n\nlet safeNodeFetchPromise: Promise<FetchFunction> | undefined;\nconst initialGlobalFetch = globalThis.fetch;\nconst initialGlobalFetchIsNodeDefault = isNodeDefaultFetch(initialGlobalFetch);\n\nexport function isNodeRuntime(): boolean {\n  const runtimeProcess = globalThis.process as\n    | {\n        release?: { name?: string };\n        versions?: { bun?: string };\n      }\n    | undefined;\n\n  return (\n    runtimeProcess?.release?.name === 'node' &&\n    runtimeProcess.versions?.bun == null\n  );\n}\n\nexport async function getDefaultDownloadFetch(): Promise<FetchFunction> {\n  if (\n    !isNodeRuntime() ||\n    !initialGlobalFetchIsNodeDefault ||\n    globalThis.fetch !== initialGlobalFetch\n  ) {\n    return globalThis.fetch;\n  }\n\n  return (safeNodeFetchPromise ??= Promise.resolve().then(createSafeNodeFetch));\n}\n\nfunction isNodeDefaultFetch(fetch: unknown): boolean {\n  if (typeof fetch !== 'function') {\n    return false;\n  }\n\n  const source = Function.prototype.toString.call(fetch);\n  return (\n    source.includes('internal/deps/undici') ||\n    source.includes('lazy loading of undici')\n  );\n}\n\nfunction createSafeNodeFetch(): FetchFunction {\n  // Load Node-only modules indirectly so browser bundlers do not pull undici\n  // and Node built-ins into the browser-facing provider-utils entry point.\n  const { createRequire } = loadBuiltinModule<NodeModule>('node:module');\n  const { lookup } = loadBuiltinModule<NodeDns>('node:dns');\n  const { Agent, fetch } = createRequire(getCurrentModulePath())(\n    'undici',\n  ) as Undici;\n\n  const dispatcher = new Agent({\n    connect: {\n      lookup: createSafeLookup(lookup as Lookup) as never,\n    },\n  });\n\n  return ((input, init) =>\n    fetch(\n      input as Parameters<typeof fetch>[0],\n      {\n        ...init,\n        dispatcher,\n      } as Parameters<typeof fetch>[1],\n    ) as unknown as Promise<Response>) satisfies FetchFunction;\n}\n\nfunction loadBuiltinModule<T>(id: string): T {\n  const processWithBuiltins = globalThis.process as\n    | {\n        getBuiltinModule?: (id: string) => unknown;\n      }\n    | undefined;\n  const builtinModule = processWithBuiltins?.getBuiltinModule?.(id);\n\n  if (builtinModule == null) {\n    throw new Error(`Node.js built-in module ${id} is unavailable`);\n  }\n\n  return builtinModule as T;\n}\n\nfunction getCurrentModulePath(): string {\n  // `import.meta.url` breaks when provider-utils is rebundled as CommonJS.\n  // The caller frame points at this package when loaded directly and at the\n  // consuming bundle when inlined, giving createRequire the correct base path.\n  const originalPrepareStackTrace = Error.prepareStackTrace;\n\n  try {\n    Error.prepareStackTrace = (_error, callSites) => callSites as never;\n\n    const error = new Error('Capture current module path');\n    Error.captureStackTrace(error, getCurrentModulePath);\n    const [caller] = error.stack as unknown as NodeJS.CallSite[];\n    const fileName = caller?.getFileName();\n\n    if (fileName == null) {\n      throw new Error('Unable to determine the current module path');\n    }\n\n    return fileName;\n  } finally {\n    Error.prepareStackTrace = originalPrepareStackTrace;\n  }\n}\n", "/**\n * Request headers stripped before fetching an untrusted URL: host/virtual-host\n * routing, proxy/origin spoofing, cloud-metadata, cookies, and hop-by-hop\n * transport headers (RFC 7230 §6.1).\n *\n * `Authorization` and other credential-bearing caller headers (e.g. `x-key`)\n * are intentionally not listed — they're needed on the first hop of some\n * provider polling calls. Instead, all caller headers except the user-agent are\n * dropped on a cross-origin redirect (see `fetch-with-validated-redirects`).\n */\nconst BLOCKED_REQUEST_HEADERS: readonly string[] = [\n  // Hop-by-hop / transport (RFC 7230 §6.1)\n  'connection',\n  'keep-alive',\n  'te',\n  'trailer',\n  'transfer-encoding',\n  'upgrade',\n\n  // Host / virtual-host routing\n  'host',\n\n  // Proxy / origin spoofing\n  'forwarded',\n  'proxy-authorization',\n  'via',\n  'x-forwarded-for',\n  'x-forwarded-host',\n  'x-forwarded-proto',\n  'x-real-ip',\n\n  // Cloud metadata (GCP, AWS IMDSv1/v2, Azure, Alibaba, DigitalOcean)\n  'metadata',\n  'metadata-flavor',\n  'x-aws-ec2-metadata-token',\n  'x-metadata-token',\n\n  // Session / cookie\n  'cookie',\n  'set-cookie',\n];\n\n/**\n * Returns a fresh `Headers` built from `input` with {@link BLOCKED_REQUEST_HEADERS}\n * removed. The input is never mutated.\n */\nexport function sanitizeRequestHeaders(input: HeadersInit): Headers {\n  const headers = new Headers(input);\n  for (const name of BLOCKED_REQUEST_HEADERS) {\n    headers.delete(name);\n  }\n  return headers;\n}\n", "import { cancelResponseBody } from './cancel-response-body';\nimport { DownloadError } from './download-error';\nimport type { FetchFunction } from './fetch-function';\nimport { isBrowserRuntime } from './is-browser-runtime';\nimport { isSameOrigin } from './is-same-origin';\nimport { getDefaultDownloadFetch } from './safe-node-fetch';\nimport { sanitizeRequestHeaders } from './sanitize-request-headers';\nimport { validateDownloadUrl } from './validate-download-url';\n\nconst MAX_DOWNLOAD_REDIRECTS = 10;\n\n// Redirect status codes per the fetch spec (https://fetch.spec.whatwg.org/#redirect-status).\n// Notably 300 (Multiple Choices) and 304 (Not Modified) are NOT redirects,\n// even when a server attaches a Location header.\nconst REDIRECT_STATUS_CODES = new Set([301, 302, 303, 307, 308]);\n\n/**\n * Fetches a URL while enforcing the download guard on every hop.\n *\n * Redirects are followed manually (`redirect: 'manual'`) so each hop is\n * validated with {@link validateDownloadUrl} *before* it is requested. Relying\n * on the default `redirect: 'follow'` would issue the request to a redirect\n * target (e.g. an internal address) before we ever see its URL, defeating the\n * guard.\n *\n * Request headers are also protected: {@link sanitizeRequestHeaders} strips\n * proxy/metadata/cookie/hop-by-hop headers before the first request, and all\n * caller headers except `User-Agent` are dropped on a cross-origin redirect.\n * The fetch spec only strips `Authorization` on cross-origin redirects because\n * in a browser, CORS preflighting protects custom headers; there is no CORS on\n * the server, so provider API keys carried in custom headers (e.g. `x-key`)\n * must be dropped here as well.\n *\n * A `redirect: 'manual'` request yields an unreadable opaque response in the\n * browser (and in other spec-compliant fetch implementations), so the redirect\n * target cannot be validated here. In a real browser this is safe to follow\n * natively because reaching an internal network is not possible (fetch is\n * constrained by CORS and cannot reach a server's internal network or\n * cloud-metadata). On any other runtime we cannot validate the hop, so we fail\n * closed rather than follow it blindly and bypass the guard.\n *\n * A hop that is same-origin with `trustedOrigin` (the developer-configured\n * provider endpoint) skips target validation: that origin is exactly what an\n * unvalidated, config-derived request would fetch anyway, and validating it\n * would break legitimate self-hosted / localhost deployments whose response\n * URLs point back at the configured host. Hops on any other origin are always\n * validated.\n *\n * The returned response is the final (non-redirect) response. The caller is\n * responsible for checking `response.ok` and reading the body.\n *\n * On Node.js, the default fetch resolves every hostname through a validating\n * lookup hook and passes those exact addresses to the connector, preventing\n * hostname-to-private-IP and DNS-rebinding bypasses. An injected fetch is\n * responsible for equivalent connect-time validation. Other runtimes should\n * constrain egress at the network layer when handling untrusted URLs.\n *\n * @throws DownloadError if a hop is unsafe, the redirect limit is exceeded, or\n * a redirect cannot be validated on a non-browser runtime.\n */\nexport async function fetchWithValidatedRedirects({\n  url,\n  headers,\n  abortSignal,\n  maxRedirects = MAX_DOWNLOAD_REDIRECTS,\n  fetch: customFetch,\n  trustedOrigin,\n}: {\n  url: string;\n  headers?: HeadersInit;\n  abortSignal?: AbortSignal;\n  maxRedirects?: number;\n  fetch?: FetchFunction;\n  /**\n   * A developer-configured origin (e.g. the provider's `baseURL`) whose hops\n   * skip target validation. Must never be derived from response data.\n   */\n  trustedOrigin?: string;\n}): Promise<Response> {\n  // Left undefined when no headers are provided (bare request); otherwise\n  // sanitized once and replaced on a cross-origin hop (credential drop below).\n  let currentHeaders =\n    headers === undefined ? undefined : sanitizeRequestHeaders(headers);\n\n  const perHopInit = (redirect: RequestRedirect): RequestInit => {\n    const init: RequestInit = { signal: abortSignal, redirect };\n    if (currentHeaders !== undefined) {\n      // Snapshot per hop: the platform fetch reads headers synchronously, but\n      // an injected fetch may defer, and hops between credential drops would\n      // otherwise share one instance.\n      init.headers = new Headers(currentHeaders);\n    }\n    return init;\n  };\n\n  let currentUrl = url;\n  // The bound also acts as a backstop against an unterminated redirect chain.\n  for (let redirectCount = 0; redirectCount <= maxRedirects; redirectCount++) {\n    // The developer-configured origin is trusted by definition; validating it\n    // would reject legitimate self-hosted / localhost deployments.\n    const isTrustedHop =\n      trustedOrigin !== undefined && isSameOrigin(currentUrl, trustedOrigin);\n\n    if (!isTrustedHop) {\n      validateDownloadUrl(currentUrl);\n    }\n\n    const fetch =\n      customFetch ??\n      (isTrustedHop ? globalThis.fetch : await getDefaultDownloadFetch());\n\n    const response = await fetch(currentUrl, perHopInit('manual'));\n\n    if (response.type === 'opaqueredirect') {\n      if (!isBrowserRuntime()) {\n        throw new DownloadError({\n          url,\n          message: `Redirect from ${currentUrl} could not be validated and was blocked`,\n        });\n      }\n      return await fetch(currentUrl, perHopInit('follow'));\n    }\n\n    const location = response.headers.get('location');\n    if (REDIRECT_STATUS_CODES.has(response.status) && location) {\n      // Release the redirect response's connection before moving to the next\n      // hop. Whether that hop is followed or rejected by the guard, an\n      // unconsumed 3xx body would leak the underlying socket.\n      await cancelResponseBody(response);\n      const nextUrl = new URL(location, currentUrl).toString();\n\n      // Drop all caller headers except the user-agent before following a\n      // redirect that crosses origin. Only stripping Authorization (as the\n      // fetch spec does) is not enough on the server: providers authenticate\n      // with custom headers too (e.g. `x-key`), and without CORS there is\n      // nothing else stopping them from riding to a foreign host.\n      if (currentHeaders !== undefined && !isSameOrigin(nextUrl, currentUrl)) {\n        const userAgent = currentHeaders.get('user-agent');\n        currentHeaders = new Headers(\n          userAgent == null ? undefined : { 'user-agent': userAgent },\n        );\n      }\n\n      currentUrl = nextUrl;\n      continue;\n    }\n\n    return response;\n  }\n\n  throw new DownloadError({\n    url,\n    message: `Too many redirects (max ${maxRedirects})`,\n  });\n}\n", "import { cancelResponseBody } from './cancel-response-body';\nimport { DownloadError } from './download-error';\n\n/**\n * Default maximum download size: 2 GiB.\n *\n * `fetch().arrayBuffer()` has ~2x peak memory overhead (undici buffers the\n * body internally, then creates the JS ArrayBuffer), so very large downloads\n * risk exceeding the default V8 heap limit on 64-bit systems and terminating\n * the process with an out-of-memory error.\n *\n * Setting this limit converts an unrecoverable OOM crash into a catchable\n * `DownloadError`.\n */\nexport const DEFAULT_MAX_DOWNLOAD_SIZE = 2 * 1024 * 1024 * 1024;\n\n/**\n * Reads a fetch Response body with a size limit to prevent memory exhaustion.\n *\n * Checks the Content-Length header for early rejection, then reads the body\n * incrementally via ReadableStream and aborts with a DownloadError when the\n * limit is exceeded.\n *\n * @param response - The fetch Response to read.\n * @param url - The URL being downloaded (used in error messages).\n * @param maxBytes - Maximum allowed bytes. Defaults to DEFAULT_MAX_DOWNLOAD_SIZE.\n * @returns A Uint8Array containing the response body.\n * @throws DownloadError if the response exceeds maxBytes.\n */\nexport async function readResponseWithSizeLimit({\n  response,\n  url,\n  maxBytes = DEFAULT_MAX_DOWNLOAD_SIZE,\n}: {\n  response: Response;\n  url: string;\n  maxBytes?: number;\n}): Promise<Uint8Array> {\n  // Early rejection based on Content-Length header\n  const contentLength = response.headers.get('content-length');\n  if (contentLength != null) {\n    const length = parseInt(contentLength, 10);\n    if (!isNaN(length) && length > maxBytes) {\n      // Cancel the body so the underlying connection is released back to the\n      // pool instead of being left open until the socket is exhausted.\n      await cancelResponseBody(response);\n      throw new DownloadError({\n        url,\n        message: `Download of ${url} exceeded maximum size of ${maxBytes} bytes (Content-Length: ${length}).`,\n      });\n    }\n  }\n\n  const body = response.body;\n\n  // Handle missing body (empty responses)\n  if (body == null) {\n    return new Uint8Array(0);\n  }\n\n  const reader = body.getReader();\n  const chunks: Uint8Array[] = [];\n  let totalBytes = 0;\n\n  try {\n    while (true) {\n      const { done, value } = await reader.read();\n\n      if (done) {\n        break;\n      }\n\n      totalBytes += value.length;\n\n      if (totalBytes > maxBytes) {\n        throw new DownloadError({\n          url,\n          message: `Download of ${url} exceeded maximum size of ${maxBytes} bytes.`,\n        });\n      }\n\n      chunks.push(value);\n    }\n  } finally {\n    try {\n      await reader.cancel();\n    } catch {\n      // Ignore cancel errors so the original rejection is preserved.\n    } finally {\n      reader.releaseLock();\n    }\n  }\n\n  // Concatenate chunks into a single Uint8Array\n  const result = new Uint8Array(totalBytes);\n  let offset = 0;\n  for (const chunk of chunks) {\n    result.set(chunk, offset);\n    offset += chunk.length;\n  }\n\n  return result;\n}\n", "import { cancelResponseBody } from './cancel-response-body';\nimport { DownloadError } from './download-error';\nimport { fetchWithValidatedRedirects } from './fetch-with-validated-redirects';\nimport {\n  readResponseWithSizeLimit,\n  DEFAULT_MAX_DOWNLOAD_SIZE,\n} from './read-response-with-size-limit';\n\n/**\n * Download a file from a URL and return it as a Blob.\n *\n * @param url - The URL to download from.\n * @param options - Optional settings for the download.\n * @param options.maxBytes - Maximum allowed download size in bytes. Defaults to 100 MiB.\n * @param options.abortSignal - An optional abort signal to cancel the download.\n * @returns A Promise that resolves to the downloaded Blob.\n *\n * @throws DownloadError if the download fails or exceeds maxBytes.\n */\nexport async function downloadBlob(\n  url: string,\n  options?: { maxBytes?: number; abortSignal?: AbortSignal },\n): Promise<Blob> {\n  try {\n    const response = await fetchWithValidatedRedirects({\n      url,\n      abortSignal: options?.abortSignal,\n    });\n\n    if (!response.ok) {\n      // Release the connection before rejecting so an error status from an\n      // attacker-controlled origin cannot leak open sockets.\n      await cancelResponseBody(response);\n      throw new DownloadError({\n        url,\n        statusCode: response.status,\n        statusText: response.statusText,\n      });\n    }\n\n    const data = await readResponseWithSizeLimit({\n      response,\n      url,\n      maxBytes: options?.maxBytes ?? DEFAULT_MAX_DOWNLOAD_SIZE,\n    });\n\n    const contentType = response.headers.get('content-type') ?? undefined;\n    return new Blob([data], contentType ? { type: contentType } : undefined);\n  } catch (error) {\n    if (DownloadError.isInstance(error)) {\n      throw error;\n    }\n\n    throw new DownloadError({ url, cause: error });\n  }\n}\n", "/**\n * Extracts a 1-based inclusive line range from `text`, auto-detecting the\n * file's line ending (`\\r\\n`, `\\n`, or `\\r`, in that priority).\n *\n * Mixed line endings are not supported: detection picks one and uses it for\n * both the split and the rejoin, so files that mix conventions will not slice\n * cleanly. When neither `startLine` nor `endLine` is provided, the input is\n * returned unchanged. `endLine` past EOF clamps to the last line.\n */\nexport function extractLines({\n  text,\n  startLine,\n  endLine,\n}: {\n  text: string;\n  startLine?: number;\n  endLine?: number;\n}): string {\n  if (startLine == null && endLine == null) return text;\n  const lineEnding = text.includes('\\r\\n')\n    ? '\\r\\n'\n    : text.includes('\\n')\n      ? '\\n'\n      : text.includes('\\r')\n        ? '\\r'\n        : '\\n';\n  const lines = text.split(lineEnding);\n  const start = Math.max(1, startLine ?? 1) - 1;\n  const end = Math.min(lines.length, endLine ?? lines.length);\n  return lines.slice(start, end).join(lineEnding);\n}\n", "/**\n * Extracts the headers from a response object and returns them as a key-value object.\n *\n * @param response - The response object to extract headers from.\n * @returns The headers as a key-value object.\n */\nexport function extractResponseHeaders(response: Response) {\n  return Object.fromEntries<string>([...response.headers]);\n}\n", "/**\n * Filters `null` and `undefined` values out of a list of values.\n *\n * @param values - The values to filter.\n * @returns A new array containing only non-nullish values.\n */\nexport function filterNullable<T>(\n  ...values: Array<T | undefined | null>\n): Array<T> {\n  return values.filter((value): value is NonNullable<T> => value != null);\n}\n", "import { InvalidArgumentError } from '@ai-sdk/provider';\n\n/**\n * Creates an ID generator.\n * The total length of the ID is the sum of the prefix, separator, and random part length.\n * Not cryptographically secure.\n *\n * @param alphabet - The alphabet to use for the ID. Default: '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'.\n * @param prefix - The prefix of the ID to generate. Optional.\n * @param separator - The separator between the prefix and the random part of the ID. Default: '-'.\n * @param size - The size of the random part of the ID to generate. Default: 16.\n */\nexport const createIdGenerator = ({\n  prefix,\n  size = 16,\n  alphabet = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz',\n  separator = '-',\n}: {\n  prefix?: string;\n  separator?: string;\n  size?: number;\n  alphabet?: string;\n} = {}): IdGenerator => {\n  const generator = () => {\n    const alphabetLength = alphabet.length;\n    const chars = new Array(size);\n    for (let i = 0; i < size; i++) {\n      chars[i] = alphabet[(Math.random() * alphabetLength) | 0];\n    }\n    return chars.join('');\n  };\n\n  if (prefix == null) {\n    return generator;\n  }\n\n  // check that the prefix is not part of the alphabet (otherwise prefix checking can fail randomly)\n  if (alphabet.includes(separator)) {\n    throw new InvalidArgumentError({\n      argument: 'separator',\n      message: `The separator \"${separator}\" must not be part of the alphabet \"${alphabet}\".`,\n    });\n  }\n\n  return () => `${prefix}${separator}${generator()}`;\n};\n\n/**\n * A function that generates an ID.\n */\nexport type IdGenerator = () => string;\n\n/**\n * Generates a 16-character random string to use for IDs.\n * Not cryptographically secure.\n */\nexport const generateId = createIdGenerator();\n", "export { getErrorMessage } from '@ai-sdk/provider';\n", "import { APICallError } from '@ai-sdk/provider';\nimport { extractResponseHeaders } from './extract-response-headers';\nimport { fetchWithValidatedRedirects } from './fetch-with-validated-redirects';\nimport type { FetchFunction } from './fetch-function';\nimport { handleFetchError } from './handle-fetch-error';\nimport { isAbortError } from './is-abort-error';\nimport { isSameOrigin } from './is-same-origin';\nimport type { ResponseHandler } from './response-handler';\nimport { getRuntimeEnvironmentUserAgent } from './get-runtime-environment-user-agent';\nimport { withUserAgentSuffix } from './with-user-agent-suffix';\nimport { VERSION } from './version';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => globalThis.fetch;\n\nexport const getFromApi = async <T>({\n  url,\n  headers = {},\n  successfulResponseHandler,\n  failedResponseHandler,\n  abortSignal,\n  fetch,\n  validateUrl,\n  credentialedOrigin,\n  trustedOrigin,\n}: {\n  url: string;\n  headers?: Record<string, string | undefined>;\n  failedResponseHandler: ResponseHandler<Error>;\n  successfulResponseHandler: ResponseHandler<T>;\n  abortSignal?: AbortSignal;\n  fetch?: FetchFunction;\n  /**\n   * Set `true` when `url` is untrusted (e.g. taken from a provider response\n   * body): it is routed through {@link fetchWithValidatedRedirects}, which\n   * rejects private/loopback/link-local targets and re-validates redirect\n   * hops; blocked URLs throw `DownloadError`. Set `false` only for URLs built\n   * from a developer-configured endpoint.\n   *\n   * Optional for backwards compatibility with existing callers; omitting it\n   * behaves like `false` (no validation). Provider code in this repository\n   * must always pass it explicitly so every call site makes a visible trust\n   * decision — see `contributing/secure-url-handling.md`.\n   */\n  validateUrl?: boolean;\n  /**\n   * When set, `headers` are sent only if `url` is same-origin with this origin\n   * (the user-agent suffix is always kept). Pass the provider's configured\n   * base URL alongside `validateUrl: true` so credentials never ride a request\n   * to a response-supplied host on a different origin (e.g. a CDN). Redirects\n   * that later cross origin drop all caller headers regardless (see\n   * {@link fetchWithValidatedRedirects}).\n   */\n  credentialedOrigin?: string;\n  /**\n   * A developer-configured origin (e.g. the provider's `baseURL`) that is\n   * exempt from URL validation when `validateUrl` is `true`. A response URL\n   * (or redirect hop) that is same-origin with it is fetched without target\n   * validation — it points at exactly the host a config-derived\n   * `validateUrl: false` request would fetch anyway, so blocking it would\n   * only break legitimate self-hosted / localhost deployments whose response\n   * URLs point back at the configured host. Hops on any other origin are\n   * still validated. Must never be derived from response data.\n   */\n  trustedOrigin?: string;\n}) => {\n  try {\n    const requestFetch = fetch ?? getOriginalFetch();\n\n    // Withhold caller headers when the URL is not same-origin with the origin\n    // allowed to receive credentials; the user-agent suffix is still applied.\n    const outgoingHeaders =\n      credentialedOrigin !== undefined && !isSameOrigin(url, credentialedOrigin)\n        ? {}\n        : headers;\n\n    const requestHeaders = withUserAgentSuffix(\n      outgoingHeaders,\n      `ai-sdk/provider-utils/${VERSION}`,\n      getRuntimeEnvironmentUserAgent(),\n    );\n\n    const response = validateUrl\n      ? await fetchWithValidatedRedirects({\n          url,\n          headers: requestHeaders,\n          abortSignal,\n          fetch,\n          trustedOrigin,\n        })\n      : await requestFetch(url, {\n          method: 'GET',\n          headers: requestHeaders,\n          signal: abortSignal,\n        });\n\n    const responseHeaders = extractResponseHeaders(response);\n\n    if (!response.ok) {\n      let errorInformation: {\n        value: Error;\n        responseHeaders?: Record<string, string> | undefined;\n      };\n\n      try {\n        errorInformation = await failedResponseHandler({\n          response,\n          url,\n          requestBodyValues: {},\n        });\n      } catch (error) {\n        if (isAbortError(error) || APICallError.isInstance(error)) {\n          throw error;\n        }\n\n        throw new APICallError({\n          message: 'Failed to process error response',\n          cause: error,\n          statusCode: response.status,\n          url,\n          responseHeaders,\n          requestBodyValues: {},\n        });\n      }\n\n      throw errorInformation.value;\n    }\n\n    try {\n      return await successfulResponseHandler({\n        response,\n        url,\n        requestBodyValues: {},\n      });\n    } catch (error) {\n      if (error instanceof Error) {\n        if (isAbortError(error) || APICallError.isInstance(error)) {\n          throw error;\n        }\n      }\n\n      throw new APICallError({\n        message: 'Failed to process successful response',\n        cause: error,\n        statusCode: response.status,\n        url,\n        responseHeaders,\n        requestBodyValues: {},\n      });\n    }\n  } catch (error) {\n    throw handleFetchError({ error, url, requestBodyValues: {} });\n  }\n};\n", "import { APICallError } from '@ai-sdk/provider';\nimport { isAbortError } from './is-abort-error';\n\nconst FETCH_FAILED_ERROR_MESSAGES = ['fetch failed', 'failed to fetch'];\n\nconst BUN_ERROR_CODES = [\n  'ConnectionRefused',\n  'ConnectionClosed',\n  'FailedToOpenSocket',\n  'ECONNRESET',\n  'ECONNREFUSED',\n  'ETIMEDOUT',\n  'EPIPE',\n];\n\nfunction isBunNetworkError(error: unknown): error is Error & { code?: string } {\n  if (!(error instanceof Error)) {\n    return false;\n  }\n\n  const code = (error as any).code;\n  if (typeof code === 'string' && BUN_ERROR_CODES.includes(code)) {\n    return true;\n  }\n\n  return false;\n}\n\nexport function handleFetchError({\n  error,\n  url,\n  requestBodyValues,\n}: {\n  error: unknown;\n  url: string;\n  requestBodyValues: unknown;\n}) {\n  if (isAbortError(error)) {\n    return error;\n  }\n\n  // unwrap original error when fetch failed (for easier debugging):\n  if (\n    error instanceof TypeError &&\n    FETCH_FAILED_ERROR_MESSAGES.includes(error.message.toLowerCase())\n  ) {\n    const cause = (error as any).cause;\n\n    if (cause != null) {\n      // Failed to connect to server:\n      return new APICallError({\n        message: `Cannot connect to API: ${cause.message}`,\n        cause,\n        url,\n        requestBodyValues,\n        isRetryable: true, // retry when network error\n      });\n    }\n  }\n\n  if (isBunNetworkError(error)) {\n    return new APICallError({\n      message: `Cannot connect to API: ${error.message}`,\n      cause: error,\n      url,\n      requestBodyValues,\n      isRetryable: true,\n    });\n  }\n\n  return error;\n}\n", "export function isAbortError(error: unknown): error is Error {\n  return (\n    (error instanceof Error || error instanceof DOMException) &&\n    (error.name === 'AbortError' ||\n      error.name === 'ResponseAborted' || // Next.js\n      error.name === 'TimeoutError')\n  );\n}\n", "export function getRuntimeEnvironmentUserAgent(\n  globalThisAny: any = globalThis as any,\n): string {\n  // Browsers\n  if (globalThisAny.window) {\n    return `runtime/browser`;\n  }\n\n  // Cloudflare Workers / Deno / Bun / Node.js >= 21.1\n  if (globalThisAny.navigator?.userAgent) {\n    return `runtime/${globalThisAny.navigator.userAgent.toLowerCase()}`;\n  }\n\n  // Nodes.js < 21.1\n  if (globalThisAny.process?.versions?.node) {\n    return `runtime/node.js/${globalThisAny.process.version.substring(0)}`;\n  }\n\n  if (globalThisAny.EdgeRuntime) {\n    return `runtime/vercel-edge`;\n  }\n\n  return 'runtime/unknown';\n}\n", "/**\n * Normalizes different header inputs into a plain record with lower-case keys.\n * Entries with `undefined` or `null` values are removed.\n *\n * @param headers - Input headers (`Headers`, tuples array, plain record) to normalize.\n * @returns A record containing the normalized header entries.\n */\nexport function normalizeHeaders(\n  headers:\n    | HeadersInit\n    | Record<string, string | undefined>\n    | Array<[string, string | undefined]>\n    | undefined,\n): Record<string, string> {\n  if (headers == null) {\n    return {};\n  }\n\n  const normalized: Record<string, string> = {};\n\n  if (headers instanceof Headers) {\n    headers.forEach((value, key) => {\n      normalized[key.toLowerCase()] = value;\n    });\n  } else {\n    if (!Array.isArray(headers)) {\n      headers = Object.entries(headers);\n    }\n\n    for (const [key, value] of headers) {\n      if (value != null) {\n        normalized[key.toLowerCase()] = value;\n      }\n    }\n  }\n\n  return normalized;\n}\n", "import { normalizeHeaders } from './normalize-headers';\n\n/**\n * Appends suffix parts to the `user-agent` header.\n * If a `user-agent` header already exists, the suffix parts are appended to it.\n * If no `user-agent` header exists, a new one is created with the suffix parts.\n * Automatically removes undefined entries from the headers.\n *\n * @param headers - The original headers.\n * @param userAgentSuffixParts - The parts to append to the `user-agent` header.\n * @returns The new headers with the `user-agent` header set or updated.\n */\nexport function withUserAgentSuffix(\n  headers: HeadersInit | Record<string, string | undefined> | undefined,\n  ...userAgentSuffixParts: string[]\n): Record<string, string> {\n  const normalizedHeaders = new Headers(normalizeHeaders(headers));\n\n  const currentUserAgentHeader = normalizedHeaders.get('user-agent') || '';\n\n  normalizedHeaders.set(\n    'user-agent',\n    [currentUserAgentHeader, ...userAgentSuffixParts].filter(Boolean).join(' '),\n  );\n\n  return Object.fromEntries(normalizedHeaders.entries());\n}\n", "// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n", "import type {\n  JSONSchema7,\n  LanguageModelV4Message,\n  LanguageModelV4Prompt,\n} from '@ai-sdk/provider';\n\nconst DEFAULT_SCHEMA_PREFIX = 'JSON schema:';\nconst DEFAULT_SCHEMA_SUFFIX =\n  'You MUST answer with a JSON object that matches the JSON schema above.';\nconst DEFAULT_GENERIC_SUFFIX = 'You MUST answer with JSON.';\n\nexport function injectJsonInstruction({\n  prompt,\n  schema,\n  schemaPrefix = schema != null ? DEFAULT_SCHEMA_PREFIX : undefined,\n  schemaSuffix = schema != null\n    ? DEFAULT_SCHEMA_SUFFIX\n    : DEFAULT_GENERIC_SUFFIX,\n}: {\n  prompt?: string;\n  schema?: JSONSchema7;\n  schemaPrefix?: string;\n  schemaSuffix?: string;\n}): string {\n  return [\n    prompt != null && prompt.length > 0 ? prompt : undefined,\n    prompt != null && prompt.length > 0 ? '' : undefined, // add a newline if prompt is not null\n    schemaPrefix,\n    schema != null ? JSON.stringify(schema) : undefined,\n    schemaSuffix,\n  ]\n    .filter(line => line != null)\n    .join('\\n');\n}\n\nexport function injectJsonInstructionIntoMessages({\n  messages,\n  schema,\n  schemaPrefix,\n  schemaSuffix,\n}: {\n  messages: LanguageModelV4Prompt;\n  schema?: JSONSchema7;\n  schemaPrefix?: string;\n  schemaSuffix?: string;\n}): LanguageModelV4Prompt {\n  const systemMessage: LanguageModelV4Message =\n    messages[0]?.role === 'system'\n      ? { ...messages[0] }\n      : { role: 'system', content: '' };\n\n  systemMessage.content = injectJsonInstruction({\n    prompt: systemMessage.content,\n    schema,\n    schemaPrefix,\n    schemaSuffix,\n  });\n\n  return [\n    systemMessage,\n    ...(messages[0]?.role === 'system' ? messages.slice(1) : messages),\n  ];\n}\n", "/**\n * Type-guard for Node.js `Buffer` instances.\n *\n * Uses optional chaining on `globalThis.Buffer` so it returns `false` in\n * runtimes where `Buffer` is not available (e.g. CloudFlare Workers).\n */\nexport function isBuffer(value: unknown): value is Buffer {\n  return globalThis.Buffer?.isBuffer(value) ?? false;\n}\n", "/**\n * Type guard that checks whether a value is not `null` or `undefined`.\n *\n * @template T - The type of the value to check.\n * @param value - The value to check.\n * @returns `true` if the value is neither `null` nor `undefined`, otherwise `false`.\n */\nexport function isNonNullable<T>(\n  value: T | undefined | null,\n): value is NonNullable<T> {\n  return value != null;\n}\n", "import type { SharedV4ProviderReference } from '@ai-sdk/provider';\nimport { isBuffer } from './is-buffer';\n\n/**\n * Checks whether a value is a provider reference (a mapping of provider names\n * to provider-specific identifiers) as opposed to raw bytes, a URL, or a\n * tagged `{ type: ... }` object.\n */\nexport function isProviderReference(\n  data: unknown,\n): data is SharedV4ProviderReference {\n  return (\n    typeof data === 'object' &&\n    data !== null &&\n    !(data instanceof Uint8Array) &&\n    !(data instanceof URL) &&\n    !(data instanceof ArrayBuffer) &&\n    !isBuffer(data) &&\n    !('type' in data)\n  );\n}\n", "/**\n * Checks whether a value is a non-null, non-array object.\n */\nexport function isRecord(value: unknown): value is Record<string, unknown> {\n  return value != null && typeof value === 'object' && !Array.isArray(value);\n}\n", "/**\n * Checks if the given URL is supported natively by the model.\n *\n * @param mediaType - The media type of the URL. Case-sensitive. May be a full\n *                    `type/subtype`, a wildcard `type/*`, or just the\n *                    top-level segment (e.g. `image`).\n * @param url - The URL to check.\n * @param supportedUrls - A record where keys are case-sensitive media types (or '*')\n *                        and values are arrays of RegExp patterns for URLs.\n *\n * @returns `true` if the URL matches a pattern under the specific media type\n *          or the wildcard '*', `false` otherwise.\n */\nexport function isUrlSupported({\n  mediaType,\n  url,\n  supportedUrls,\n}: {\n  mediaType: string;\n  url: string;\n  supportedUrls: Record<string, RegExp[]>;\n}): boolean {\n  // standardize media type and url to lower case\n  url = url.toLowerCase();\n  mediaType = mediaType.toLowerCase();\n\n  const isTopLevelOnly = !mediaType.includes('/');\n\n  return (\n    Object.entries(supportedUrls)\n      // standardize supported url map into lowercase prefixes:\n      .map(([key, value]) => {\n        const mediaType = key.toLowerCase();\n        return mediaType === '*' || mediaType === '*/*'\n          ? { mediaTypePrefix: '', regexes: value }\n          : { mediaTypePrefix: mediaType.replace(/\\*/, ''), regexes: value };\n      })\n      // gather all regexp pattern from matched media type prefixes:\n      .filter(({ mediaTypePrefix }) => {\n        if (mediaTypePrefix === '') {\n          return true;\n        }\n        // For a top-level-only media type (e.g. `image`), we cannot determine\n        // whether a specific subtype (e.g. `image/png`) would apply, so we\n        // only match the corresponding `type/*` prefix exactly.\n        if (isTopLevelOnly) {\n          return `${mediaType}/` === mediaTypePrefix;\n        }\n        return mediaType.startsWith(mediaTypePrefix);\n      })\n      .flatMap(({ regexes }) => regexes)\n      // check if any pattern matches the url:\n      .some(pattern => testRegExpFromStart(pattern, url))\n  );\n}\n\nfunction testRegExpFromStart(pattern: RegExp, value: string): boolean {\n  if (!pattern.global && !pattern.sticky) {\n    return pattern.test(value);\n  }\n\n  // Global and sticky regexes retain match state in lastIndex.\n  // Evaluate from the start without changing caller-owned state.\n  const lastIndex = pattern.lastIndex;\n  pattern.lastIndex = 0;\n\n  try {\n    return pattern.test(value);\n  } finally {\n    pattern.lastIndex = lastIndex;\n  }\n}\n", "import { LoadAPIKeyError } from '@ai-sdk/provider';\n\nexport function loadApiKey({\n  apiKey,\n  environmentVariableName,\n  apiKeyParameterName = 'apiKey',\n  description,\n}: {\n  apiKey: string | undefined;\n  environmentVariableName: string;\n  apiKeyParameterName?: string;\n  description: string;\n}): string {\n  if (typeof apiKey === 'string') {\n    return apiKey;\n  }\n\n  if (apiKey != null) {\n    throw new LoadAPIKeyError({\n      message: `${description} API key must be a string.`,\n    });\n  }\n\n  if (typeof process === 'undefined') {\n    throw new LoadAPIKeyError({\n      message: `${description} API key is missing. Pass it using the '${apiKeyParameterName}' parameter. Environment variables are not supported in this environment.`,\n    });\n  }\n\n  apiKey = process.env[environmentVariableName];\n\n  if (apiKey == null) {\n    throw new LoadAPIKeyError({\n      message: `${description} API key is missing. Pass it using the '${apiKeyParameterName}' parameter or the ${environmentVariableName} environment variable.`,\n    });\n  }\n\n  if (typeof apiKey !== 'string') {\n    throw new LoadAPIKeyError({\n      message: `${description} API key must be a string. The value of the ${environmentVariableName} environment variable is not a string.`,\n    });\n  }\n\n  return apiKey;\n}\n", "/**\n * Loads an optional `string` setting from the environment or a parameter.\n *\n * @param settingValue - The setting value.\n * @param environmentVariableName - The environment variable name.\n * @returns The setting value.\n */\nexport function loadOptionalSetting({\n  settingValue,\n  environmentVariableName,\n}: {\n  settingValue: string | undefined;\n  environmentVariableName: string;\n}): string | undefined {\n  if (typeof settingValue === 'string') {\n    return settingValue;\n  }\n\n  if (settingValue != null || typeof process === 'undefined') {\n    return undefined;\n  }\n\n  settingValue = process.env[environmentVariableName];\n\n  if (settingValue == null || typeof settingValue !== 'string') {\n    return undefined;\n  }\n\n  return settingValue;\n}\n", "import { LoadSettingError } from '@ai-sdk/provider';\n\n/**\n * Loads a `string` setting from the environment or a parameter.\n *\n * @param settingValue - The setting value.\n * @param environmentVariableName - The environment variable name.\n * @param settingName - The setting name.\n * @param description - The description of the setting.\n * @returns The setting value.\n */\nexport function loadSetting({\n  settingValue,\n  environmentVariableName,\n  settingName,\n  description,\n}: {\n  settingValue: string | undefined;\n  environmentVariableName: string;\n  settingName: string;\n  description: string;\n}): string {\n  if (typeof settingValue === 'string') {\n    return settingValue;\n  }\n\n  if (settingValue != null) {\n    throw new LoadSettingError({\n      message: `${description} setting must be a string.`,\n    });\n  }\n\n  if (typeof process === 'undefined') {\n    throw new LoadSettingError({\n      message:\n        `${description} setting is missing. ` +\n        `Pass it using the '${settingName}' parameter. ` +\n        `Environment variables are not supported in this environment.`,\n    });\n  }\n\n  settingValue = process.env[environmentVariableName];\n\n  if (settingValue == null) {\n    throw new LoadSettingError({\n      message:\n        `${description} setting is missing. ` +\n        `Pass it using the '${settingName}' parameter ` +\n        `or the ${environmentVariableName} environment variable.`,\n    });\n  }\n\n  if (typeof settingValue !== 'string') {\n    throw new LoadSettingError({\n      message:\n        `${description} setting must be a string. ` +\n        `The value of the ${environmentVariableName} environment variable is not a string.`,\n    });\n  }\n\n  return settingValue;\n}\n", "import type {\n  LanguageModelV4CallOptions,\n  SharedV4Warning,\n} from '@ai-sdk/provider';\n\nexport type ReasoningLevel = Exclude<\n  LanguageModelV4CallOptions['reasoning'],\n  'none' | 'provider-default' | undefined\n>;\n\nexport function isCustomReasoning(\n  reasoning: LanguageModelV4CallOptions['reasoning'],\n): reasoning is Exclude<\n  LanguageModelV4CallOptions['reasoning'],\n  'provider-default' | undefined\n> {\n  return reasoning !== undefined && reasoning !== 'provider-default';\n}\n\n/**\n * Maps a top-level reasoning level to a provider-specific effort string using\n * the given effort map. Pushes a compatibility warning if the reasoning level\n * maps to a different string, or an unsupported warning if the level is not\n * present in the map.\n *\n * @returns The mapped effort string, or `undefined` if the level is not\n *   supported.\n */\nexport function mapReasoningToProviderEffort<T extends string>({\n  reasoning,\n  effortMap,\n  warnings,\n}: {\n  reasoning: ReasoningLevel;\n  effortMap: Partial<Record<ReasoningLevel, T>>;\n  warnings: SharedV4Warning[];\n}): T | undefined {\n  const mapped = effortMap[reasoning];\n\n  if (mapped == null) {\n    warnings.push({\n      type: 'unsupported',\n      feature: 'reasoning',\n      details: `reasoning \"${reasoning}\" is not supported by this model.`,\n    });\n    return undefined;\n  }\n\n  if (mapped !== reasoning) {\n    warnings.push({\n      type: 'compatibility',\n      feature: 'reasoning',\n      details: `reasoning \"${reasoning}\" is not directly supported by this model. mapped to effort \"${mapped}\".`,\n    });\n  }\n\n  return mapped;\n}\n\nconst DEFAULT_REASONING_BUDGET_PERCENTAGES: Record<ReasoningLevel, number> = {\n  minimal: 0.02,\n  low: 0.1,\n  medium: 0.3,\n  high: 0.6,\n  xhigh: 0.9,\n};\n\n/**\n * Maps a top-level reasoning level to an absolute token budget by multiplying\n * the model's max output tokens by a percentage from the budget percentages\n * map. The result is clamped between `minReasoningBudget` (default 1024) and\n * `maxReasoningBudget`. Pushes an unsupported warning if the level is not\n * present in the budget percentages map.\n *\n * @returns The computed token budget, or `undefined` if the level is not\n *   supported.\n */\nexport function mapReasoningToProviderBudget({\n  reasoning,\n  maxOutputTokens,\n  maxReasoningBudget,\n  minReasoningBudget = 1024,\n  budgetPercentages = DEFAULT_REASONING_BUDGET_PERCENTAGES,\n  warnings,\n}: {\n  reasoning: ReasoningLevel;\n  maxOutputTokens: number;\n  maxReasoningBudget: number;\n  minReasoningBudget?: number;\n  budgetPercentages?: Partial<Record<ReasoningLevel, number>>;\n  warnings: SharedV4Warning[];\n}): number | undefined {\n  const pct = budgetPercentages[reasoning];\n\n  if (pct == null) {\n    warnings.push({\n      type: 'unsupported',\n      feature: 'reasoning',\n      details: `reasoning \"${reasoning}\" is not supported by this model.`,\n    });\n    return undefined;\n  }\n\n  return Math.min(\n    maxReasoningBudget,\n    Math.max(minReasoningBudget, Math.round(maxOutputTokens * pct)),\n  );\n}\n", "/**\n * Maps a media type to its corresponding file extension.\n * It was originally introduced to set a filename for audio file uploads\n * in https://github.com/vercel/ai/pull/8159.\n *\n * @param mediaType The media type to map.\n * @returns The corresponding file extension\n * @see https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/MIME_types/Common_types\n */\nexport function mediaTypeToExtension(mediaType: string) {\n  const [_type, subtype = ''] = mediaType.toLowerCase().split('/');\n\n  return (\n    {\n      mpeg: 'mp3',\n      'x-wav': 'wav',\n      opus: 'ogg',\n      mp4: 'm4a',\n      'x-m4a': 'm4a',\n    }[subtype] ?? subtype\n  );\n}\n", "import {\n  JSONParseError,\n  TypeValidationError,\n  type JSONValue,\n} from '@ai-sdk/provider';\nimport { secureJsonParse } from './secure-json-parse';\nimport { safeValidateTypes, validateTypes } from './validate-types';\nimport type { FlexibleSchema } from './schema';\n\n/**\n * Parses a JSON string into an unknown object.\n *\n * @param text - The JSON string to parse.\n * @returns {JSONValue} - The parsed JSON object.\n */\nexport async function parseJSON(options: {\n  text: string;\n  schema?: undefined;\n}): Promise<JSONValue>;\n/**\n * Parses a JSON string into a strongly-typed object using the provided schema.\n *\n * @template T - The type of the object to parse the JSON into.\n * @param {string} text - The JSON string to parse.\n * @param {Validator<T>} schema - The schema to use for parsing the JSON.\n * @returns {Promise<T>} - The parsed object.\n */\nexport async function parseJSON<T>(options: {\n  text: string;\n  schema: FlexibleSchema<T>;\n}): Promise<T>;\nexport async function parseJSON<T>({\n  text,\n  schema,\n}: {\n  text: string;\n  schema?: FlexibleSchema<T>;\n}): Promise<T> {\n  try {\n    const value = secureJsonParse(text);\n\n    if (schema == null) {\n      return value;\n    }\n\n    return await validateTypes<T>({ value, schema });\n  } catch (error) {\n    if (\n      JSONParseError.isInstance(error) ||\n      TypeValidationError.isInstance(error)\n    ) {\n      throw error;\n    }\n\n    throw new JSONParseError({ text, cause: error });\n  }\n}\n\nexport type ParseResult<T> =\n  | { success: true; value: T; rawValue: unknown }\n  | {\n      success: false;\n      error: JSONParseError | TypeValidationError;\n      rawValue: unknown;\n    };\n\n/**\n * Safely parses a JSON string and returns the result as an object of type `unknown`.\n *\n * @param text - The JSON string to parse.\n * @returns {Promise<object>} Either an object with `success: true` and the parsed data, or an object with `success: false` and the error that occurred.\n */\nexport async function safeParseJSON(options: {\n  text: string;\n  schema?: undefined;\n}): Promise<ParseResult<JSONValue>>;\n/**\n * Safely parses a JSON string into a strongly-typed object, using a provided schema to validate the object.\n *\n * @template T - The type of the object to parse the JSON into.\n * @param {string} text - The JSON string to parse.\n * @param {Validator<T>} schema - The schema to use for parsing the JSON.\n * @returns An object with either a `success` flag and the parsed and typed data, or a `success` flag and an error object.\n */\nexport async function safeParseJSON<T>(options: {\n  text: string;\n  schema: FlexibleSchema<T>;\n}): Promise<ParseResult<T>>;\nexport async function safeParseJSON<T>({\n  text,\n  schema,\n}: {\n  text: string;\n  schema?: FlexibleSchema<T>;\n}): Promise<ParseResult<T>> {\n  try {\n    const value = secureJsonParse(text);\n\n    if (schema == null) {\n      return { success: true, value: value as T, rawValue: value };\n    }\n\n    return await safeValidateTypes<T>({ value, schema });\n  } catch (error) {\n    return {\n      success: false,\n      error: JSONParseError.isInstance(error)\n        ? error\n        : new JSONParseError({ text, cause: error }),\n      rawValue: undefined,\n    };\n  }\n}\n\nexport function isParsableJson(input: string): boolean {\n  try {\n    secureJsonParse(input);\n    return true;\n  } catch {\n    return false;\n  }\n}\n", "// Licensed under BSD-3-Clause (this file only)\n// Code adapted from https://github.com/fastify/secure-json-parse/blob/783fcb1b5434709466759847cec974381939673a/index.js\n//\n// Copyright (c) Vercel, Inc. (https://vercel.com)\n// Copyright (c) 2019 The Fastify Team\n// Copyright (c) 2019, Sideway Inc, and project contributors\n// All rights reserved.\n//\n// The complete list of contributors can be found at:\n// - https://github.com/hapijs/bourne/graphs/contributors\n// - https://github.com/fastify/secure-json-parse/graphs/contributors\n// - https://github.com/vercel/ai/commits/main/packages/provider-utils/src/secure-parse-json.ts\n//\n// Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:\n//\n// 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.\n//\n// 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.\n//\n// 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.\n//\n// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\nconst suspectProtoRx =\n  /\"(?:_|\\\\u005[Ff])(?:_|\\\\u005[Ff])(?:p|\\\\u0070)(?:r|\\\\u0072)(?:o|\\\\u006[Ff])(?:t|\\\\u0074)(?:o|\\\\u006[Ff])(?:_|\\\\u005[Ff])(?:_|\\\\u005[Ff])\"\\s*:/;\nconst suspectConstructorRx =\n  /\"(?:c|\\\\u0063)(?:o|\\\\u006[Ff])(?:n|\\\\u006[Ee])(?:s|\\\\u0073)(?:t|\\\\u0074)(?:r|\\\\u0072)(?:u|\\\\u0075)(?:c|\\\\u0063)(?:t|\\\\u0074)(?:o|\\\\u006[Ff])(?:r|\\\\u0072)\"\\s*:/;\n\nfunction _parse(text: string) {\n  // Parse normally\n  const obj = JSON.parse(text);\n\n  // Ignore null and non-objects\n  if (obj === null || typeof obj !== 'object') {\n    return obj;\n  }\n\n  if (\n    suspectProtoRx.test(text) === false &&\n    suspectConstructorRx.test(text) === false\n  ) {\n    return obj;\n  }\n\n  // Scan result for proto keys\n  return filter(obj);\n}\n\nfunction filter(obj: any) {\n  let next = [obj];\n\n  while (next.length) {\n    const nodes = next;\n    next = [];\n\n    for (const node of nodes) {\n      if (Object.prototype.hasOwnProperty.call(node, '__proto__')) {\n        throw new SyntaxError('Object contains forbidden prototype property');\n      }\n\n      if (\n        Object.prototype.hasOwnProperty.call(node, 'constructor') &&\n        node.constructor !== null &&\n        typeof node.constructor === 'object' &&\n        Object.prototype.hasOwnProperty.call(node.constructor, 'prototype')\n      ) {\n        throw new SyntaxError('Object contains forbidden prototype property');\n      }\n\n      for (const key in node) {\n        const value = node[key];\n        if (value && typeof value === 'object') {\n          next.push(value);\n        }\n      }\n    }\n  }\n  return obj;\n}\n\nexport function secureJsonParse(text: string) {\n  const { stackTraceLimit } = Error;\n  try {\n    // Performance optimization, see https://github.com/fastify/secure-json-parse/pull/90\n    Error.stackTraceLimit = 0;\n  } catch {\n    // Fallback in case Error is immutable (v8 readonly)\n    return _parse(text);\n  }\n\n  try {\n    return _parse(text);\n  } finally {\n    Error.stackTraceLimit = stackTraceLimit;\n  }\n}\n", "import {\n  TypeValidationError,\n  type TypeValidationContext,\n} from '@ai-sdk/provider';\nimport { asSchema, type FlexibleSchema } from './schema';\n/**\n * Validates the types of an unknown object using a schema and\n * return a strongly-typed object.\n *\n * @template T - The type of the object to validate.\n * @param {string} options.value - The object to validate.\n * @param {Validator<T>} options.schema - The schema to use for validating the JSON.\n * @param {TypeValidationContext} options.context - Optional context about what is being validated.\n * @returns {Promise<T>} - The typed object.\n */\nexport async function validateTypes<OBJECT>({\n  value,\n  schema,\n  context,\n}: {\n  value: unknown;\n  schema: FlexibleSchema<OBJECT>;\n  context?: TypeValidationContext;\n}): Promise<OBJECT> {\n  const result = await safeValidateTypes({ value, schema, context });\n\n  if (!result.success) {\n    throw TypeValidationError.wrap({ value, cause: result.error, context });\n  }\n\n  return result.value;\n}\n\n/**\n * Safely validates the types of an unknown object using a schema and\n * return a strongly-typed object.\n *\n * @template T - The type of the object to validate.\n * @param {string} options.value - The JSON object to validate.\n * @param {Validator<T>} options.schema - The schema to use for validating the JSON.\n * @param {TypeValidationContext} options.context - Optional context about what is being validated.\n * @returns An object with either a `success` flag and the parsed and typed data, or a `success` flag and an error object.\n */\nexport async function safeValidateTypes<OBJECT>({\n  value,\n  schema,\n  context,\n}: {\n  value: unknown;\n  schema: FlexibleSchema<OBJECT>;\n  context?: TypeValidationContext;\n}): Promise<\n  | {\n      success: true;\n      value: OBJECT;\n      rawValue: unknown;\n    }\n  | {\n      success: false;\n      error: TypeValidationError;\n      rawValue: unknown;\n    }\n> {\n  const actualSchema = asSchema(schema);\n\n  try {\n    if (actualSchema.validate == null) {\n      return { success: true, value: value as OBJECT, rawValue: value };\n    }\n\n    const result = await actualSchema.validate(value);\n\n    if (result.success) {\n      return { success: true, value: result.value, rawValue: value };\n    }\n\n    return {\n      success: false,\n      error: TypeValidationError.wrap({ value, cause: result.error, context }),\n      rawValue: value,\n    };\n  } catch (error) {\n    return {\n      success: false,\n      error: TypeValidationError.wrap({ value, cause: error, context }),\n      rawValue: value,\n    };\n  }\n}\n", "import { TypeValidationError, type JSONSchema7 } from '@ai-sdk/provider';\nimport type {\n  StandardSchemaV1,\n  StandardJSONSchemaV1,\n} from '@standard-schema/spec';\nimport type * as z3 from 'zod/v3';\nimport { safeParseAsync } from 'zod/v4';\nimport { toJSONSchema, type $ZodType } from 'zod/v4/core';\nimport { addAdditionalPropertiesToJsonSchema } from './add-additional-properties-to-json-schema';\nimport { zod3ToJsonSchema } from './to-json-schema/zod3-to-json-schema';\n\n/**\n * Used to mark schemas so we can support both Zod and custom schemas.\n */\nconst schemaSymbol = Symbol.for('vercel.ai.schema');\n\nexport type ValidationResult<OBJECT> =\n  | { success: true; value: OBJECT }\n  | { success: false; error: Error };\n\nexport type Schema<OBJECT = unknown> = {\n  /**\n   * Used to mark schemas so we can support both Zod and custom schemas.\n   */\n  [schemaSymbol]: true;\n\n  /**\n   * Schema type for inference.\n   */\n  _type: OBJECT;\n\n  /**\n   * Optional. Validates that the structure of a value matches this schema,\n   * and returns a typed version of the value if it does.\n   */\n  readonly validate?: (\n    value: unknown,\n  ) => ValidationResult<OBJECT> | PromiseLike<ValidationResult<OBJECT>>;\n\n  /**\n   * The JSON Schema for the schema. It is passed to the providers.\n   */\n  readonly jsonSchema: JSONSchema7 | PromiseLike<JSONSchema7>;\n};\n\n/**\n * Creates a schema with deferred creation.\n * This is important to reduce the startup time of the library\n * and to avoid initializing unused validators.\n *\n * @param createValidator A function that creates a schema.\n * @returns A function that returns a schema.\n */\nexport function lazySchema<SCHEMA>(\n  createSchema: () => Schema<SCHEMA>,\n): LazySchema<SCHEMA> {\n  // cache the validator to avoid initializing it multiple times\n  let schema: Schema<SCHEMA> | undefined;\n  return () => {\n    if (schema == null) {\n      schema = createSchema();\n    }\n    return schema;\n  };\n}\n\nexport type LazySchema<SCHEMA> = () => Schema<SCHEMA>;\n\nexport type ZodSchema<SCHEMA = any> =\n  | z3.Schema<SCHEMA, z3.ZodTypeDef, any>\n  | $ZodType<SCHEMA, any>;\n\nexport type StandardSchema<SCHEMA = any> = StandardSchemaV1<unknown, SCHEMA> & {\n  readonly '~standard': StandardSchemaV1.Props<unknown, SCHEMA> & {\n    readonly jsonSchema?: StandardJSONSchemaV1.Converter;\n  };\n};\n\ntype StandardSchemaWithJsonSchema<SCHEMA = any> = StandardSchema<SCHEMA> &\n  StandardJSONSchemaV1<unknown, SCHEMA>;\n\nexport type FlexibleSchema<SCHEMA = any> =\n  | Schema<SCHEMA>\n  | LazySchema<SCHEMA>\n  | ZodSchema<SCHEMA>\n  | StandardSchema<SCHEMA>;\n\nexport type InferSchema<SCHEMA> =\n  SCHEMA extends ZodSchema<infer T>\n    ? T\n    : SCHEMA extends StandardSchema<infer T>\n      ? T\n      : SCHEMA extends LazySchema<infer T>\n        ? T\n        : SCHEMA extends Schema<infer T>\n          ? T\n          : never;\n\n/**\n * Create a schema using a JSON Schema.\n *\n * @param jsonSchema The JSON Schema for the schema.\n * @param options.validate Optional. A validation function for the schema.\n */\nexport function jsonSchema<OBJECT = unknown>(\n  jsonSchema:\n    | JSONSchema7\n    | PromiseLike<JSONSchema7>\n    | (() => JSONSchema7 | PromiseLike<JSONSchema7>),\n  {\n    validate,\n  }: {\n    validate?: (\n      value: unknown,\n    ) => ValidationResult<OBJECT> | PromiseLike<ValidationResult<OBJECT>>;\n  } = {},\n): Schema<OBJECT> {\n  return {\n    [schemaSymbol]: true,\n    _type: undefined as OBJECT, // should never be used directly\n    get jsonSchema() {\n      if (typeof jsonSchema === 'function') {\n        jsonSchema = jsonSchema(); // cache the function results\n      }\n      return jsonSchema;\n    },\n    validate,\n  };\n}\n\nfunction isSchema(value: unknown): value is Schema {\n  return (\n    typeof value === 'object' &&\n    value !== null &&\n    schemaSymbol in value &&\n    value[schemaSymbol] === true &&\n    'jsonSchema' in value &&\n    'validate' in value\n  );\n}\n\nexport function asSchema<OBJECT>(\n  schema: FlexibleSchema<OBJECT> | undefined,\n): Schema<OBJECT> {\n  return schema == null\n    ? jsonSchema({\n        type: 'object',\n        properties: {},\n        additionalProperties: false,\n      })\n    : isSchema(schema)\n      ? schema\n      : '~standard' in schema\n        ? schema['~standard'].vendor === 'zod'\n          ? zodSchema(schema as ZodSchema<OBJECT>)\n          : standardSchema(schema as StandardSchema<OBJECT>)\n        : schema();\n}\n\nfunction standardSchema<OBJECT>(\n  standardSchema: StandardSchema<OBJECT>,\n): Schema<OBJECT> {\n  return jsonSchema(\n    () => {\n      if (!hasStandardJsonSchema(standardSchema)) {\n        throw new Error(\n          `Standard schema vendor '${standardSchema['~standard'].vendor}' does not support JSON Schema conversion.`,\n        );\n      }\n\n      return addAdditionalPropertiesToJsonSchema(\n        standardSchema['~standard'].jsonSchema.input({\n          target: 'draft-07',\n        }) as JSONSchema7,\n      );\n    },\n    {\n      validate: async value => {\n        const result = await standardSchema['~standard'].validate(value);\n        return 'value' in result\n          ? { success: true, value: result.value }\n          : {\n              success: false,\n              error: new TypeValidationError({\n                value,\n                cause: result.issues,\n              }),\n            };\n      },\n    },\n  );\n}\n\nfunction hasStandardJsonSchema<OBJECT>(\n  schema: StandardSchema<OBJECT>,\n): schema is StandardSchemaWithJsonSchema<OBJECT> {\n  return schema['~standard'].jsonSchema != null;\n}\n\nexport function zod3Schema<OBJECT>(\n  zodSchema: z3.Schema<OBJECT, z3.ZodTypeDef, any>,\n  options?: {\n    /**\n     * Enables support for references in the schema.\n     * This is required for recursive schemas, e.g. with `z.lazy`.\n     * However, not all language models and providers support such references.\n     * Defaults to `false`.\n     */\n    useReferences?: boolean;\n  },\n): Schema<OBJECT> {\n  // default to no references (to support openapi conversion for google)\n  const useReferences = options?.useReferences ?? false;\n\n  return jsonSchema(\n    // defer json schema creation to avoid unnecessary computation when only validation is needed\n    () =>\n      zod3ToJsonSchema(zodSchema, {\n        $refStrategy: useReferences ? 'root' : 'none',\n      }) as JSONSchema7,\n    {\n      validate: async value => {\n        const result = await zodSchema.safeParseAsync(value);\n        return result.success\n          ? { success: true, value: result.data }\n          : { success: false, error: result.error };\n      },\n    },\n  );\n}\n\nexport function zod4Schema<OBJECT>(\n  zodSchema: $ZodType<OBJECT, any>,\n  options?: {\n    /**\n     * Enables support for references in the schema.\n     * This is required for recursive schemas, e.g. with `z.lazy`.\n     * However, not all language models and providers support such references.\n     * Defaults to `false`.\n     */\n    useReferences?: boolean;\n  },\n): Schema<OBJECT> {\n  // default to no references (to support openapi conversion for google)\n  const useReferences = options?.useReferences ?? false;\n\n  return jsonSchema(\n    // defer json schema creation to avoid unnecessary computation when only validation is needed\n    () =>\n      addAdditionalPropertiesToJsonSchema(\n        toJSONSchema(zodSchema, {\n          target: 'draft-7',\n          io: 'input',\n          reused: useReferences ? 'ref' : 'inline',\n        }) as JSONSchema7,\n      ),\n    {\n      validate: async value => {\n        const result = await safeParseAsync(zodSchema, value);\n        return result.success\n          ? { success: true, value: result.data }\n          : { success: false, error: result.error };\n      },\n    },\n  );\n}\n\nexport function isZod4Schema(\n  zodSchema: $ZodType<any, any> | z3.Schema<any, z3.ZodTypeDef, any>,\n): zodSchema is $ZodType<any, any> {\n  // https://zod.dev/library-authors?id=how-to-support-zod-3-and-zod-4-simultaneously\n  return '_zod' in zodSchema;\n}\n\nexport function zodSchema<OBJECT>(\n  zodSchema: $ZodType<OBJECT, any> | z3.Schema<OBJECT, z3.ZodTypeDef, any>,\n  options?: {\n    /**\n     * Enables support for references in the schema.\n     * This is required for recursive schemas, e.g. with `z.lazy`.\n     * However, not all language models and providers support such references.\n     * Defaults to `false`.\n     */\n    useReferences?: boolean;\n  },\n): Schema<OBJECT> {\n  if (isZod4Schema(zodSchema)) {\n    return zod4Schema(zodSchema, options);\n  } else {\n    return zod3Schema(zodSchema, options);\n  }\n}\n", "import type { JSONSchema7, JSONSchema7Definition } from '@ai-sdk/provider';\n\n/**\n * Recursively adds additionalProperties: false to object schemas that do not\n * define a schema for their additional properties. This is necessary because\n * some providers (e.g. OpenAI) do not support additionalProperties: true.\n */\nexport function addAdditionalPropertiesToJsonSchema(\n  jsonSchema: JSONSchema7,\n): JSONSchema7 {\n  if (\n    jsonSchema.type === 'object' ||\n    (Array.isArray(jsonSchema.type) && jsonSchema.type.includes('object'))\n  ) {\n    const { additionalProperties } = jsonSchema;\n    jsonSchema.additionalProperties =\n      additionalProperties != null && typeof additionalProperties !== 'boolean'\n        ? visit(additionalProperties)\n        : false;\n\n    const { properties } = jsonSchema;\n    if (properties != null) {\n      for (const key of Object.keys(properties)) {\n        properties[key] = visit(properties[key]);\n      }\n    }\n  }\n\n  if (jsonSchema.items != null) {\n    jsonSchema.items = Array.isArray(jsonSchema.items)\n      ? jsonSchema.items.map(visit)\n      : visit(jsonSchema.items);\n  }\n\n  if (jsonSchema.anyOf != null) {\n    jsonSchema.anyOf = jsonSchema.anyOf.map(visit);\n  }\n\n  if (jsonSchema.allOf != null) {\n    jsonSchema.allOf = jsonSchema.allOf.map(visit);\n  }\n\n  if (jsonSchema.oneOf != null) {\n    jsonSchema.oneOf = jsonSchema.oneOf.map(visit);\n  }\n\n  const { definitions } = jsonSchema;\n  if (definitions != null) {\n    for (const key of Object.keys(definitions)) {\n      definitions[key] = visit(definitions[key]);\n    }\n  }\n\n  return jsonSchema;\n}\n\nfunction visit(def: JSONSchema7Definition): JSONSchema7Definition {\n  if (typeof def === 'boolean') return def;\n  return addAdditionalPropertiesToJsonSchema(def);\n}\n", "import type { ZodSchema, ZodTypeDef } from 'zod/v3';\nimport type { Refs, Seen } from './refs';\nimport type { JsonSchema7Type } from './parse-types';\n\nexport type DateStrategy =\n  | 'format:date-time'\n  | 'format:date'\n  | 'string'\n  | 'integer';\n\nexport const ignoreOverride = Symbol(\n  'Let zodToJsonSchema decide on which parser to use',\n);\n\nexport type OverrideCallback = (\n  def: ZodTypeDef,\n  refs: Refs,\n  seen: Seen | undefined,\n  forceResolution?: boolean,\n) => JsonSchema7Type | undefined | typeof ignoreOverride;\n\nexport type PostProcessCallback = (\n  jsonSchema: JsonSchema7Type | undefined,\n  def: ZodTypeDef,\n  refs: Refs,\n) => JsonSchema7Type | undefined;\n\nexport const jsonDescription: PostProcessCallback = (jsonSchema, def) => {\n  if (def.description) {\n    try {\n      return {\n        ...jsonSchema,\n        ...JSON.parse(def.description),\n      };\n    } catch {}\n  }\n\n  return jsonSchema;\n};\n\nexport type Options = {\n  name: string | undefined;\n  $refStrategy: 'root' | 'relative' | 'none' | 'seen';\n  basePath: string[];\n  effectStrategy: 'input' | 'any';\n  pipeStrategy: 'input' | 'output' | 'all';\n  dateStrategy: DateStrategy | DateStrategy[];\n  mapStrategy: 'entries' | 'record';\n  removeAdditionalStrategy: 'passthrough' | 'strict';\n  allowedAdditionalProperties: true | undefined;\n  rejectedAdditionalProperties: false | undefined;\n  strictUnions: boolean;\n  definitionPath: string;\n  definitions: Record<string, ZodSchema>;\n  errorMessages: boolean;\n  patternStrategy: 'escape' | 'preserve';\n  applyRegexFlags: boolean;\n  emailStrategy: 'format:email' | 'format:idn-email' | 'pattern:zod';\n  base64Strategy: 'format:binary' | 'contentEncoding:base64' | 'pattern:zod';\n  nameStrategy: 'ref' | 'title';\n  override?: OverrideCallback;\n  postProcess?: PostProcessCallback;\n};\n\nexport const defaultOptions: Options = {\n  name: undefined,\n  $refStrategy: 'root',\n  basePath: ['#'],\n  effectStrategy: 'input',\n  pipeStrategy: 'all',\n  dateStrategy: 'format:date-time',\n  mapStrategy: 'entries',\n  removeAdditionalStrategy: 'passthrough',\n  allowedAdditionalProperties: true,\n  rejectedAdditionalProperties: false,\n  definitionPath: 'definitions',\n  strictUnions: false,\n  definitions: {},\n  errorMessages: false,\n  patternStrategy: 'escape',\n  applyRegexFlags: false,\n  emailStrategy: 'format:email',\n  base64Strategy: 'contentEncoding:base64',\n  nameStrategy: 'ref',\n};\n\nexport const getDefaultOptions = (\n  options: Partial<Options> | string | undefined,\n) =>\n  (typeof options === 'string'\n    ? {\n        ...defaultOptions,\n        name: options,\n      }\n    : {\n        ...defaultOptions,\n        ...options,\n      }) as Options;\n", "export type JsonSchema7AnyType = { $ref?: string };\n\nexport function parseAnyDef(): JsonSchema7AnyType {\n  return {};\n}\n", "import type { ZodArrayDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport type JsonSchema7ArrayType = {\n  type: 'array';\n  items?: JsonSchema7Type;\n  minItems?: number;\n  maxItems?: number;\n};\n\nexport function parseArrayDef(def: ZodArrayDef, refs: Refs) {\n  const res: JsonSchema7ArrayType = {\n    type: 'array',\n  };\n  if (def.type?._def && def.type?._def?.typeName !== 'ZodAny') {\n    res.items = parseDef(def.type._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'items'],\n    });\n  }\n\n  if (def.minLength) {\n    res.minItems = def.minLength.value;\n  }\n  if (def.maxLength) {\n    res.maxItems = def.maxLength.value;\n  }\n  if (def.exactLength) {\n    res.minItems = def.exactLength.value;\n    res.maxItems = def.exactLength.value;\n  }\n  return res;\n}\n", "import type { ZodBigIntDef } from 'zod/v3';\n\nexport type JsonSchema7BigintType = {\n  type: 'integer';\n  format: 'int64';\n  minimum?: BigInt;\n  exclusiveMinimum?: BigInt;\n  maximum?: BigInt;\n  exclusiveMaximum?: BigInt;\n  multipleOf?: BigInt;\n};\n\nexport function parseBigintDef(def: ZodBigIntDef): JsonSchema7BigintType {\n  const res: JsonSchema7BigintType = {\n    type: 'integer',\n    format: 'int64',\n  };\n\n  if (!def.checks) return res;\n\n  for (const check of def.checks) {\n    switch (check.kind) {\n      case 'min':\n        if (check.inclusive) {\n          res.minimum = check.value;\n        } else {\n          res.exclusiveMinimum = check.value;\n        }\n        break;\n      case 'max':\n        if (check.inclusive) {\n          res.maximum = check.value;\n        } else {\n          res.exclusiveMaximum = check.value;\n        }\n\n        break;\n      case 'multipleOf':\n        res.multipleOf = check.value;\n        break;\n    }\n  }\n  return res;\n}\n", "export type JsonSchema7BooleanType = {\n  type: 'boolean';\n};\n\nexport function parseBooleanDef(): JsonSchema7BooleanType {\n  return { type: 'boolean' };\n}\n", "import type { ZodBrandedDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { Refs } from '../refs';\n\nexport function parseBrandedDef(_def: ZodBrandedDef<any>, refs: Refs) {\n  return parseDef(_def.type._def, refs);\n}\n", "import type { ZodCatchDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { Refs } from '../refs';\n\nexport const parseCatchDef = (def: ZodCatchDef<any>, refs: Refs) => {\n  return parseDef(def.innerType._def, refs);\n};\n", "import type { ZodDateDef } from 'zod/v3';\nimport type { Refs } from '../refs';\nimport type { DateStrategy } from '../options';\n\nexport type JsonSchema7DateType =\n  | {\n      type: 'integer' | 'string';\n      format: 'unix-time' | 'date-time' | 'date';\n      minimum?: number;\n      maximum?: number;\n    }\n  | {\n      anyOf: JsonSchema7DateType[];\n    };\n\nexport function parseDateDef(\n  def: ZodDateDef,\n  refs: Refs,\n  overrideDateStrategy?: DateStrategy,\n): JsonSchema7DateType {\n  const strategy = overrideDateStrategy ?? refs.dateStrategy;\n\n  if (Array.isArray(strategy)) {\n    return {\n      anyOf: strategy.map(item => parseDateDef(def, refs, item)),\n    };\n  }\n\n  switch (strategy) {\n    case 'string':\n    case 'format:date-time':\n      return {\n        type: 'string',\n        format: 'date-time',\n      };\n    case 'format:date':\n      return {\n        type: 'string',\n        format: 'date',\n      };\n    case 'integer':\n      return integerDateParser(def);\n  }\n}\n\nconst integerDateParser = (def: ZodDateDef) => {\n  const res: JsonSchema7DateType = {\n    type: 'integer',\n    format: 'unix-time',\n  };\n\n  for (const check of def.checks) {\n    switch (check.kind) {\n      case 'min':\n        res.minimum = check.value;\n        break;\n      case 'max':\n        res.maximum = check.value;\n        break;\n    }\n  }\n\n  return res;\n};\n", "import type { ZodDefaultDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport function parseDefaultDef(\n  _def: ZodDefaultDef,\n  refs: Refs,\n): JsonSchema7Type & { default: any } {\n  return {\n    ...parseDef(_def.innerType._def, refs),\n    default: _def.defaultValue(),\n  };\n}\n", "import type { ZodEffectsDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport { parseAnyDef } from './any';\n\nexport function parseEffectsDef(\n  _def: ZodEffectsDef,\n  refs: Refs,\n): JsonSchema7Type | undefined {\n  return refs.effectStrategy === 'input'\n    ? parseDef(_def.schema._def, refs)\n    : parseAnyDef();\n}\n", "import type { ZodEnumDef } from 'zod/v3';\n\nexport type JsonSchema7EnumType = {\n  type: 'string';\n  enum: string[];\n};\n\nexport function parseEnumDef(def: ZodEnumDef): JsonSchema7EnumType {\n  return {\n    type: 'string',\n    enum: Array.from(def.values),\n  };\n}\n", "import type { ZodIntersectionDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport type { JsonSchema7StringType } from './string';\n\nexport type JsonSchema7AllOfType = {\n  allOf: JsonSchema7Type[];\n  unevaluatedProperties?: boolean;\n};\n\nconst isJsonSchema7AllOfType = (\n  type: JsonSchema7Type | JsonSchema7StringType,\n): type is JsonSchema7AllOfType => {\n  if ('type' in type && type.type === 'string') return false;\n  return 'allOf' in type;\n};\n\nexport function parseIntersectionDef(\n  def: ZodIntersectionDef,\n  refs: Refs,\n): JsonSchema7AllOfType | JsonSchema7Type | undefined {\n  const allOf = [\n    parseDef(def.left._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'allOf', '0'],\n    }),\n    parseDef(def.right._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'allOf', '1'],\n    }),\n  ].filter((x): x is JsonSchema7Type => !!x);\n\n  const mergedAllOf: JsonSchema7Type[] = [];\n  // If either of the schemas is an allOf, merge them into a single allOf\n  allOf.forEach(schema => {\n    if (isJsonSchema7AllOfType(schema)) {\n      mergedAllOf.push(...schema.allOf);\n    } else {\n      let nestedSchema: JsonSchema7Type = schema;\n      if (\n        'additionalProperties' in schema &&\n        schema.additionalProperties === false\n      ) {\n        const { additionalProperties: _additionalProperties, ...rest } = schema;\n        nestedSchema = rest;\n      }\n      mergedAllOf.push(nestedSchema);\n    }\n  });\n  return mergedAllOf.length ? { allOf: mergedAllOf } : undefined;\n}\n", "import type { ZodLiteralDef } from 'zod/v3';\n\nexport type JsonSchema7LiteralType =\n  | {\n      type: 'string' | 'number' | 'integer' | 'boolean';\n      const: string | number | boolean;\n    }\n  | {\n      type: 'object' | 'array';\n    };\n\nexport function parseLiteralDef(def: ZodLiteralDef): JsonSchema7LiteralType {\n  const parsedType = typeof def.value;\n  if (\n    parsedType !== 'bigint' &&\n    parsedType !== 'number' &&\n    parsedType !== 'boolean' &&\n    parsedType !== 'string'\n  ) {\n    return {\n      type: Array.isArray(def.value) ? 'array' : 'object',\n    };\n  }\n\n  return {\n    type: parsedType === 'bigint' ? 'integer' : parsedType,\n    const: def.value,\n  };\n}\n", "import type { ZodStringDef } from 'zod/v3';\nimport type { Refs } from '../refs';\n\nlet emojiRegex: RegExp | undefined = undefined;\n\n/**\n * Generated from the regular expressions found here as of 2024-05-22:\n * https://github.com/colinhacks/zod/blob/master/src/types.ts.\n *\n * Expressions with /i flag have been changed accordingly.\n */\nexport const zodPatterns = {\n  /**\n   * `c` was changed to `[cC]` to replicate /i flag\n   */\n  cuid: /^[cC][^\\s-]{8,}$/,\n  cuid2: /^[0-9a-z]+$/,\n  ulid: /^[0-9A-HJKMNP-TV-Z]{26}$/,\n  /**\n   * `a-z` was added to replicate /i flag\n   */\n  email:\n    /^(?!\\.)(?!.*\\.\\.)([a-zA-Z0-9_'+\\-\\.]*)[a-zA-Z0-9_+-]@([a-zA-Z0-9][a-zA-Z0-9\\-]*\\.)+[a-zA-Z]{2,}$/,\n  /**\n   * Constructed a valid Unicode RegExp\n   *\n   * Lazily instantiate since this type of regex isn't supported\n   * in all envs (e.g. React Native).\n   *\n   * See:\n   * https://github.com/colinhacks/zod/issues/2433\n   * Fix in Zod:\n   * https://github.com/colinhacks/zod/commit/9340fd51e48576a75adc919bff65dbc4a5d4c99b\n   */\n  emoji: () => {\n    if (emojiRegex === undefined) {\n      emojiRegex = RegExp(\n        '^(\\\\p{Extended_Pictographic}|\\\\p{Emoji_Component})+$',\n        'u',\n      );\n    }\n    return emojiRegex;\n  },\n  /**\n   * Unused\n   */\n  uuid: /^[0-9a-fA-F]{8}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{4}\\b-[0-9a-fA-F]{12}$/,\n  /**\n   * Unused\n   */\n  ipv4: /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/,\n  ipv4Cidr:\n    /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\\/(3[0-2]|[12]?[0-9])$/,\n  /**\n   * Unused\n   */\n  ipv6: /^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,\n  ipv6Cidr:\n    /^(([0-9a-fA-F]{1,4}:){7,7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:)|fe80:(:[0-9a-fA-F]{0,4}){0,4}%[0-9a-zA-Z]{1,}|::(ffff(:0{1,4}){0,1}:){0,1}((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])|([0-9a-fA-F]{1,4}:){1,4}:((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9]))\\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/,\n  base64: /^([0-9a-zA-Z+/]{4})*(([0-9a-zA-Z+/]{2}==)|([0-9a-zA-Z+/]{3}=))?$/,\n  base64url:\n    /^([0-9a-zA-Z-_]{4})*(([0-9a-zA-Z-_]{2}(==)?)|([0-9a-zA-Z-_]{3}(=)?))?$/,\n  nanoid: /^[a-zA-Z0-9_-]{21}$/,\n  jwt: /^[A-Za-z0-9-_]+\\.[A-Za-z0-9-_]+\\.[A-Za-z0-9-_]*$/,\n} as const;\n\nexport type JsonSchema7StringType = {\n  type: 'string';\n  minLength?: number;\n  maxLength?: number;\n  format?:\n    | 'email'\n    | 'idn-email'\n    | 'uri'\n    | 'uuid'\n    | 'date-time'\n    | 'ipv4'\n    | 'ipv6'\n    | 'date'\n    | 'time'\n    | 'duration';\n  pattern?: string;\n  allOf?: {\n    pattern: string;\n  }[];\n  anyOf?: {\n    format: string;\n  }[];\n  contentEncoding?: string;\n};\n\nexport function parseStringDef(\n  def: ZodStringDef,\n  refs: Refs,\n): JsonSchema7StringType {\n  const res: JsonSchema7StringType = {\n    type: 'string',\n  };\n\n  if (def.checks) {\n    for (const check of def.checks) {\n      switch (check.kind) {\n        case 'min':\n          res.minLength =\n            typeof res.minLength === 'number'\n              ? Math.max(res.minLength, check.value)\n              : check.value;\n          break;\n        case 'max':\n          res.maxLength =\n            typeof res.maxLength === 'number'\n              ? Math.min(res.maxLength, check.value)\n              : check.value;\n\n          break;\n        case 'email':\n          switch (refs.emailStrategy) {\n            case 'format:email':\n              addFormat(res, 'email', check.message, refs);\n              break;\n            case 'format:idn-email':\n              addFormat(res, 'idn-email', check.message, refs);\n              break;\n            case 'pattern:zod':\n              addPattern(res, zodPatterns.email, check.message, refs);\n              break;\n          }\n\n          break;\n        case 'url':\n          addFormat(res, 'uri', check.message, refs);\n          break;\n        case 'uuid':\n          addFormat(res, 'uuid', check.message, refs);\n          break;\n        case 'regex':\n          addPattern(res, check.regex, check.message, refs);\n          break;\n        case 'cuid':\n          addPattern(res, zodPatterns.cuid, check.message, refs);\n          break;\n        case 'cuid2':\n          addPattern(res, zodPatterns.cuid2, check.message, refs);\n          break;\n        case 'startsWith':\n          addPattern(\n            res,\n            RegExp(`^${escapeLiteralCheckValue(check.value, refs)}`),\n            check.message,\n            refs,\n          );\n          break;\n        case 'endsWith':\n          addPattern(\n            res,\n            RegExp(`${escapeLiteralCheckValue(check.value, refs)}$`),\n            check.message,\n            refs,\n          );\n          break;\n        case 'datetime':\n          addFormat(res, 'date-time', check.message, refs);\n          break;\n        case 'date':\n          addFormat(res, 'date', check.message, refs);\n          break;\n        case 'time':\n          addFormat(res, 'time', check.message, refs);\n          break;\n        case 'duration':\n          addFormat(res, 'duration', check.message, refs);\n          break;\n        case 'length':\n          res.minLength =\n            typeof res.minLength === 'number'\n              ? Math.max(res.minLength, check.value)\n              : check.value;\n          res.maxLength =\n            typeof res.maxLength === 'number'\n              ? Math.min(res.maxLength, check.value)\n              : check.value;\n          break;\n        case 'includes': {\n          addPattern(\n            res,\n            RegExp(escapeLiteralCheckValue(check.value, refs)),\n            check.message,\n            refs,\n          );\n          break;\n        }\n        case 'ip': {\n          if (check.version !== 'v6') {\n            addFormat(res, 'ipv4', check.message, refs);\n          }\n          if (check.version !== 'v4') {\n            addFormat(res, 'ipv6', check.message, refs);\n          }\n          break;\n        }\n        case 'base64url':\n          addPattern(res, zodPatterns.base64url, check.message, refs);\n          break;\n        case 'jwt':\n          addPattern(res, zodPatterns.jwt, check.message, refs);\n          break;\n        case 'cidr': {\n          if (check.version !== 'v6') {\n            addPattern(res, zodPatterns.ipv4Cidr, check.message, refs);\n          }\n          if (check.version !== 'v4') {\n            addPattern(res, zodPatterns.ipv6Cidr, check.message, refs);\n          }\n          break;\n        }\n        case 'emoji':\n          addPattern(res, zodPatterns.emoji(), check.message, refs);\n          break;\n        case 'ulid': {\n          addPattern(res, zodPatterns.ulid, check.message, refs);\n          break;\n        }\n        case 'base64': {\n          switch (refs.base64Strategy) {\n            case 'format:binary': {\n              addFormat(res, 'binary' as any, check.message, refs);\n              break;\n            }\n\n            case 'contentEncoding:base64': {\n              res.contentEncoding = 'base64';\n              break;\n            }\n\n            case 'pattern:zod': {\n              addPattern(res, zodPatterns.base64, check.message, refs);\n              break;\n            }\n          }\n          break;\n        }\n        case 'nanoid': {\n          addPattern(res, zodPatterns.nanoid, check.message, refs);\n        }\n        case 'toLowerCase':\n        case 'toUpperCase':\n        case 'trim':\n          break;\n        default:\n          /* c8 ignore next */\n          ((_: never) => {})(check);\n      }\n    }\n  }\n\n  return res;\n}\n\nfunction escapeLiteralCheckValue(literal: string, refs: Refs): string {\n  return refs.patternStrategy === 'escape'\n    ? escapeNonAlphaNumeric(literal)\n    : literal;\n}\n\nconst ALPHA_NUMERIC = new Set(\n  'ABCDEFGHIJKLMNOPQRSTUVXYZabcdefghijklmnopqrstuvxyz0123456789',\n);\n\nfunction escapeNonAlphaNumeric(source: string) {\n  let result = '';\n\n  for (let i = 0; i < source.length; i++) {\n    if (!ALPHA_NUMERIC.has(source[i])) {\n      result += '\\\\';\n    }\n\n    result += source[i];\n  }\n\n  return result;\n}\n\n// Adds a \"format\" keyword to the schema. If a format exists, both formats will be joined in an allOf-node, along with subsequent ones.\nfunction addFormat(\n  schema: JsonSchema7StringType,\n  value: Required<JsonSchema7StringType>['format'],\n  message: string | undefined,\n  refs: Refs,\n) {\n  if (schema.format || schema.anyOf?.some(x => x.format)) {\n    if (!schema.anyOf) {\n      schema.anyOf = [];\n    }\n\n    if (schema.format) {\n      schema.anyOf!.push({\n        format: schema.format,\n      });\n      delete schema.format;\n    }\n\n    schema.anyOf!.push({\n      format: value,\n      ...(message &&\n        refs.errorMessages && { errorMessage: { format: message } }),\n    });\n  } else {\n    schema.format = value;\n  }\n}\n\n// Adds a \"pattern\" keyword to the schema. If a pattern exists, both patterns will be joined in an allOf-node, along with subsequent ones.\nfunction addPattern(\n  schema: JsonSchema7StringType,\n  regex: RegExp,\n  message: string | undefined,\n  refs: Refs,\n) {\n  if (schema.pattern || schema.allOf?.some(x => x.pattern)) {\n    if (!schema.allOf) {\n      schema.allOf = [];\n    }\n\n    if (schema.pattern) {\n      schema.allOf!.push({\n        pattern: schema.pattern,\n      });\n      delete schema.pattern;\n    }\n\n    schema.allOf!.push({\n      pattern: stringifyRegExpWithFlags(regex, refs),\n      ...(message &&\n        refs.errorMessages && { errorMessage: { pattern: message } }),\n    });\n  } else {\n    schema.pattern = stringifyRegExpWithFlags(regex, refs);\n  }\n}\n\n// Mutate z.string.regex() in a best attempt to accommodate for regex flags when applyRegexFlags is true\nfunction stringifyRegExpWithFlags(regex: RegExp, refs: Refs): string {\n  if (!refs.applyRegexFlags || !regex.flags) {\n    return regex.source;\n  }\n\n  // Currently handled flags\n  const flags = {\n    i: regex.flags.includes('i'), // Case-insensitive\n    m: regex.flags.includes('m'), // `^` and `$` matches adjacent to newline characters\n    s: regex.flags.includes('s'), // `.` matches newlines\n  };\n\n  // The general principle here is to step through each character, one at a time, applying mutations as flags require. We keep track when the current character is escaped, and when it's inside a group /like [this]/ or (also) a range like /[a-z]/. The following is fairly brittle imperative code; edit at your peril!\n  const source = flags.i ? regex.source.toLowerCase() : regex.source;\n  let pattern = '';\n  let isEscaped = false;\n  let inCharGroup = false;\n  let inCharRange = false;\n\n  for (let i = 0; i < source.length; i++) {\n    if (isEscaped) {\n      pattern += source[i];\n      isEscaped = false;\n      continue;\n    }\n\n    if (flags.i) {\n      if (inCharGroup) {\n        if (source[i].match(/[a-z]/)) {\n          if (inCharRange) {\n            pattern += source[i];\n            pattern += `${source[i - 2]}-${source[i]}`.toUpperCase();\n            inCharRange = false;\n          } else if (source[i + 1] === '-' && source[i + 2]?.match(/[a-z]/)) {\n            pattern += source[i];\n            inCharRange = true;\n          } else {\n            pattern += `${source[i]}${source[i].toUpperCase()}`;\n          }\n          continue;\n        }\n      } else if (source[i].match(/[a-z]/)) {\n        pattern += `[${source[i]}${source[i].toUpperCase()}]`;\n        continue;\n      }\n    }\n\n    if (flags.m) {\n      if (source[i] === '^') {\n        pattern += `(^|(?<=[\\r\\n]))`;\n        continue;\n      } else if (source[i] === '$') {\n        pattern += `($|(?=[\\r\\n]))`;\n        continue;\n      }\n    }\n\n    if (flags.s && source[i] === '.') {\n      pattern += inCharGroup ? `${source[i]}\\r\\n` : `[${source[i]}\\r\\n]`;\n      continue;\n    }\n\n    pattern += source[i];\n    if (source[i] === '\\\\') {\n      isEscaped = true;\n    } else if (inCharGroup && source[i] === ']') {\n      inCharGroup = false;\n    } else if (!inCharGroup && source[i] === '[') {\n      inCharGroup = true;\n    }\n  }\n\n  try {\n    new RegExp(pattern);\n  } catch {\n    console.warn(\n      `Could not convert regex pattern at ${refs.currentPath.join(\n        '/',\n      )} to a flag-independent form! Falling back to the flag-ignorant source`,\n    );\n    return regex.source;\n  }\n\n  return pattern;\n}\n", "import type { ZodMapDef, ZodRecordDef, ZodTypeAny } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport { parseBrandedDef } from './branded';\nimport type { JsonSchema7EnumType } from './enum';\nimport { parseStringDef, type JsonSchema7StringType } from './string';\ntype JsonSchema7RecordPropertyNamesType =\n  | Omit<JsonSchema7StringType, 'type'>\n  | Omit<JsonSchema7EnumType, 'type'>;\n\nexport type JsonSchema7RecordType = {\n  type: 'object';\n  additionalProperties?: JsonSchema7Type | true;\n  propertyNames?: JsonSchema7RecordPropertyNamesType;\n};\n\nexport function parseRecordDef(\n  def: ZodRecordDef<ZodTypeAny, ZodTypeAny> | ZodMapDef,\n  refs: Refs,\n): JsonSchema7RecordType {\n  const schema: JsonSchema7RecordType = {\n    type: 'object',\n    additionalProperties:\n      parseDef(def.valueType._def, {\n        ...refs,\n        currentPath: [...refs.currentPath, 'additionalProperties'],\n      }) ?? refs.allowedAdditionalProperties,\n  };\n\n  if (\n    def.keyType?._def.typeName === 'ZodString' &&\n    def.keyType._def.checks?.length\n  ) {\n    const { type: _type, ...keyType } = parseStringDef(def.keyType._def, refs);\n\n    return {\n      ...schema,\n      propertyNames: keyType,\n    };\n  } else if (def.keyType?._def.typeName === 'ZodEnum') {\n    return {\n      ...schema,\n      propertyNames: {\n        enum: def.keyType._def.values,\n      },\n    };\n  } else if (\n    def.keyType?._def.typeName === 'ZodBranded' &&\n    def.keyType._def.type._def.typeName === 'ZodString' &&\n    def.keyType._def.type._def.checks?.length\n  ) {\n    const { type: _type, ...keyType } = parseBrandedDef(\n      def.keyType._def,\n      refs,\n    ) as JsonSchema7StringType;\n\n    return {\n      ...schema,\n      propertyNames: keyType,\n    };\n  }\n\n  return schema;\n}\n", "import type { ZodMapDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport { parseAnyDef } from './any';\nimport { parseRecordDef, type JsonSchema7RecordType } from './record';\nexport type JsonSchema7MapType = {\n  type: 'array';\n  maxItems: 125;\n  items: {\n    type: 'array';\n    items: [JsonSchema7Type, JsonSchema7Type];\n    minItems: 2;\n    maxItems: 2;\n  };\n};\n\nexport function parseMapDef(\n  def: ZodMapDef,\n  refs: Refs,\n): JsonSchema7MapType | JsonSchema7RecordType {\n  if (refs.mapStrategy === 'record') {\n    return parseRecordDef(def, refs);\n  }\n\n  const keys =\n    parseDef(def.keyType._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'items', 'items', '0'],\n    }) || parseAnyDef();\n  const values =\n    parseDef(def.valueType._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'items', 'items', '1'],\n    }) || parseAnyDef();\n  return {\n    type: 'array',\n    maxItems: 125,\n    items: {\n      type: 'array',\n      items: [keys, values],\n      minItems: 2,\n      maxItems: 2,\n    },\n  };\n}\n", "import type { ZodNativeEnumDef } from 'zod/v3';\n\nexport type JsonSchema7NativeEnumType = {\n  type: 'string' | 'number' | ['string', 'number'];\n  enum: (string | number)[];\n};\n\nexport function parseNativeEnumDef(\n  def: ZodNativeEnumDef,\n): JsonSchema7NativeEnumType {\n  const object = def.values;\n  const actualKeys = Object.keys(def.values).filter((key: string) => {\n    return typeof object[object[key]] !== 'number';\n  });\n\n  const actualValues = actualKeys.map((key: string) => object[key]);\n\n  const parsedTypes = Array.from(\n    new Set(actualValues.map((values: string | number) => typeof values)),\n  );\n\n  return {\n    type:\n      parsedTypes.length === 1\n        ? parsedTypes[0] === 'string'\n          ? 'string'\n          : 'number'\n        : ['string', 'number'],\n    enum: actualValues,\n  };\n}\n", "import { parseAnyDef, type JsonSchema7AnyType } from './any';\nexport type JsonSchema7NeverType = {\n  not: JsonSchema7AnyType;\n};\n\nexport function parseNeverDef(): JsonSchema7NeverType | undefined {\n  return { not: parseAnyDef() };\n}\n", "export type JsonSchema7NullType = {\n  type: 'null';\n};\n\nexport function parseNullDef(): JsonSchema7NullType {\n  return {\n    type: 'null',\n  };\n}\n", "import type {\n  ZodDiscriminatedUnionDef,\n  ZodLiteralDef,\n  ZodTypeAny,\n  ZodUnionDef,\n} from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport const primitiveMappings = {\n  ZodString: 'string',\n  ZodNumber: 'number',\n  ZodBigInt: 'integer',\n  ZodBoolean: 'boolean',\n  ZodNull: 'null',\n} as const;\ntype ZodPrimitive = keyof typeof primitiveMappings;\ntype JsonSchema7Primitive =\n  (typeof primitiveMappings)[keyof typeof primitiveMappings];\n\nexport type JsonSchema7UnionType =\n  | JsonSchema7PrimitiveUnionType\n  | JsonSchema7AnyOfType;\n\ntype JsonSchema7PrimitiveUnionType =\n  | {\n      type: JsonSchema7Primitive | JsonSchema7Primitive[];\n    }\n  | {\n      type: JsonSchema7Primitive | JsonSchema7Primitive[];\n      enum: (string | number | bigint | boolean | null)[];\n    };\n\ntype JsonSchema7AnyOfType = {\n  anyOf: JsonSchema7Type[];\n};\n\nexport function parseUnionDef(\n  def: ZodUnionDef | ZodDiscriminatedUnionDef<any, any>,\n  refs: Refs,\n): JsonSchema7PrimitiveUnionType | JsonSchema7AnyOfType | undefined {\n  const options: readonly ZodTypeAny[] =\n    def.options instanceof Map ? Array.from(def.options.values()) : def.options;\n\n  // This blocks tries to look ahead a bit to produce nicer looking schemas with type array instead of anyOf.\n  if (\n    options.every(\n      x =>\n        x._def.typeName in primitiveMappings &&\n        (!x._def.checks || !x._def.checks.length),\n    )\n  ) {\n    // all types in union are primitive and lack checks, so might as well squash into {type: [...]}\n\n    const types = options.reduce((types: JsonSchema7Primitive[], x) => {\n      const type = primitiveMappings[x._def.typeName as ZodPrimitive]; //Can be safely casted due to row 43\n      return type && !types.includes(type) ? [...types, type] : types;\n    }, []);\n\n    return {\n      type: types.length > 1 ? types : types[0],\n    };\n  } else if (\n    options.every(x => x._def.typeName === 'ZodLiteral' && !x.description)\n  ) {\n    // all options literals\n\n    const types = options.reduce(\n      (acc: JsonSchema7Primitive[], x: { _def: ZodLiteralDef }) => {\n        const type = typeof x._def.value;\n        switch (type) {\n          case 'string':\n          case 'number':\n          case 'boolean':\n            return [...acc, type];\n          case 'bigint':\n            return [...acc, 'integer' as const];\n          case 'object':\n            if (x._def.value === null) return [...acc, 'null' as const];\n          case 'symbol':\n          case 'undefined':\n          case 'function':\n          default:\n            return acc;\n        }\n      },\n      [],\n    );\n\n    if (types.length === options.length) {\n      // all the literals are primitive, as far as null can be considered primitive\n\n      const uniqueTypes = types.filter((x, i, a) => a.indexOf(x) === i);\n      return {\n        type: uniqueTypes.length > 1 ? uniqueTypes : uniqueTypes[0],\n        enum: options.reduce(\n          (acc, x) => {\n            return acc.includes(x._def.value) ? acc : [...acc, x._def.value];\n          },\n          [] as (string | number | bigint | boolean | null)[],\n        ),\n      };\n    }\n  } else if (options.every(x => x._def.typeName === 'ZodEnum')) {\n    return {\n      type: 'string',\n      enum: options.reduce(\n        (acc: string[], x) => [\n          ...acc,\n          ...x._def.values.filter((x: string) => !acc.includes(x)),\n        ],\n        [],\n      ),\n    };\n  }\n\n  return asAnyOf(def, refs);\n}\n\nconst asAnyOf = (\n  def: ZodUnionDef | ZodDiscriminatedUnionDef<any, any>,\n  refs: Refs,\n): JsonSchema7PrimitiveUnionType | JsonSchema7AnyOfType | undefined => {\n  const anyOf = (\n    (def.options instanceof Map\n      ? Array.from(def.options.values())\n      : def.options) as any[]\n  )\n    .map((x, i) =>\n      parseDef(x._def, {\n        ...refs,\n        currentPath: [...refs.currentPath, 'anyOf', `${i}`],\n      }),\n    )\n    .filter(\n      (x): x is JsonSchema7Type =>\n        !!x &&\n        (!refs.strictUnions ||\n          (typeof x === 'object' && Object.keys(x).length > 0)),\n    );\n\n  return anyOf.length ? { anyOf } : undefined;\n};\n", "import type { ZodNullableDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport type { JsonSchema7NullType } from './null';\nimport { primitiveMappings } from './union';\n\nexport type JsonSchema7NullableType =\n  | {\n      anyOf: [JsonSchema7Type, JsonSchema7NullType];\n    }\n  | {\n      type: [string, 'null'];\n    };\n\nexport function parseNullableDef(\n  def: ZodNullableDef,\n  refs: Refs,\n): JsonSchema7NullableType | undefined {\n  if (\n    ['ZodString', 'ZodNumber', 'ZodBigInt', 'ZodBoolean', 'ZodNull'].includes(\n      def.innerType._def.typeName,\n    ) &&\n    (!def.innerType._def.checks || !def.innerType._def.checks.length)\n  ) {\n    return {\n      type: [\n        primitiveMappings[\n          def.innerType._def.typeName as keyof typeof primitiveMappings\n        ],\n        'null',\n      ],\n    };\n  }\n\n  const base = parseDef(def.innerType._def, {\n    ...refs,\n    currentPath: [...refs.currentPath, 'anyOf', '0'],\n  });\n\n  return base && { anyOf: [base, { type: 'null' }] };\n}\n", "import type { ZodNumberDef } from 'zod/v3';\n\nexport type JsonSchema7NumberType = {\n  type: 'number' | 'integer';\n  minimum?: number;\n  exclusiveMinimum?: number;\n  maximum?: number;\n  exclusiveMaximum?: number;\n  multipleOf?: number;\n};\n\nexport function parseNumberDef(def: ZodNumberDef): JsonSchema7NumberType {\n  const res: JsonSchema7NumberType = {\n    type: 'number',\n  };\n\n  if (!def.checks) return res;\n\n  for (const check of def.checks) {\n    switch (check.kind) {\n      case 'int':\n        res.type = 'integer';\n        break;\n      case 'min':\n        if (check.inclusive) {\n          res.minimum = check.value;\n        } else {\n          res.exclusiveMinimum = check.value;\n        }\n        break;\n      case 'max':\n        if (check.inclusive) {\n          res.maximum = check.value;\n        } else {\n          res.exclusiveMaximum = check.value;\n        }\n        break;\n      case 'multipleOf':\n        res.multipleOf = check.value;\n        break;\n    }\n  }\n  return res;\n}\n", "import type { ZodObjectDef, ZodTypeAny } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport type JsonSchema7ObjectType = {\n  type: 'object';\n  properties: Record<string, JsonSchema7Type>;\n  additionalProperties?: boolean | JsonSchema7Type;\n  required?: string[];\n};\n\nexport function parseObjectDef(def: ZodObjectDef, refs: Refs) {\n  const result: JsonSchema7ObjectType = {\n    type: 'object',\n    properties: {},\n  };\n\n  const required: string[] = [];\n\n  const shape = def.shape();\n\n  for (const propName in shape) {\n    let propDef = shape[propName];\n\n    if (propDef === undefined || propDef._def === undefined) {\n      continue;\n    }\n\n    const propOptional = safeIsOptional(propDef);\n\n    const parsedDef = parseDef(propDef._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'properties', propName],\n      propertyPath: [...refs.currentPath, 'properties', propName],\n    });\n\n    if (parsedDef === undefined) {\n      continue;\n    }\n\n    result.properties[propName] = parsedDef;\n\n    if (!propOptional) {\n      required.push(propName);\n    }\n  }\n\n  if (required.length) {\n    result.required = required;\n  }\n\n  const additionalProperties = decideAdditionalProperties(def, refs);\n\n  if (additionalProperties !== undefined) {\n    result.additionalProperties = additionalProperties;\n  }\n\n  return result;\n}\n\nfunction decideAdditionalProperties(def: ZodObjectDef, refs: Refs) {\n  if (def.catchall._def.typeName !== 'ZodNever') {\n    return parseDef(def.catchall._def, {\n      ...refs,\n      currentPath: [...refs.currentPath, 'additionalProperties'],\n    });\n  }\n\n  switch (def.unknownKeys) {\n    case 'passthrough':\n      return refs.allowedAdditionalProperties;\n    case 'strict':\n      return refs.rejectedAdditionalProperties;\n    case 'strip':\n      return refs.removeAdditionalStrategy === 'strict'\n        ? refs.allowedAdditionalProperties\n        : refs.rejectedAdditionalProperties;\n  }\n}\n\nfunction safeIsOptional(schema: ZodTypeAny): boolean {\n  try {\n    return schema.isOptional();\n  } catch {\n    return true;\n  }\n}\n", "import type { ZodOptionalDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport { parseAnyDef } from './any';\n\nexport const parseOptionalDef = (\n  def: ZodOptionalDef,\n  refs: Refs,\n): JsonSchema7Type | undefined => {\n  if (refs.currentPath.toString() === refs.propertyPath?.toString()) {\n    return parseDef(def.innerType._def, refs);\n  }\n\n  const innerSchema = parseDef(def.innerType._def, {\n    ...refs,\n    currentPath: [...refs.currentPath, 'anyOf', '1'],\n  });\n\n  return innerSchema\n    ? { anyOf: [{ not: parseAnyDef() }, innerSchema] }\n    : parseAnyDef();\n};\n", "import type { ZodPipelineDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\nimport type { JsonSchema7AllOfType } from './intersection';\n\nexport const parsePipelineDef = (\n  def: ZodPipelineDef<any, any>,\n  refs: Refs,\n): JsonSchema7AllOfType | JsonSchema7Type | undefined => {\n  if (refs.pipeStrategy === 'input') {\n    return parseDef(def.in._def, refs);\n  } else if (refs.pipeStrategy === 'output') {\n    return parseDef(def.out._def, refs);\n  }\n\n  const inputSchema = parseDef(def.in._def, {\n    ...refs,\n    currentPath: [...refs.currentPath, 'allOf', '0'],\n  });\n  const outputSchema = parseDef(def.out._def, {\n    ...refs,\n    currentPath: [...refs.currentPath, 'allOf', inputSchema ? '1' : '0'],\n  });\n\n  return {\n    allOf: [inputSchema, outputSchema].filter(\n      (schema): schema is JsonSchema7Type => schema !== undefined,\n    ),\n  };\n};\n", "import type { ZodPromiseDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport function parsePromiseDef(\n  def: ZodPromiseDef,\n  refs: Refs,\n): JsonSchema7Type | undefined {\n  return parseDef(def.type._def, refs);\n}\n", "import type { ZodSetDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport type JsonSchema7SetType = {\n  type: 'array';\n  uniqueItems: true;\n  items?: JsonSchema7Type;\n  minItems?: number;\n  maxItems?: number;\n};\n\nexport function parseSetDef(def: ZodSetDef, refs: Refs): JsonSchema7SetType {\n  const items = parseDef(def.valueType._def, {\n    ...refs,\n    currentPath: [...refs.currentPath, 'items'],\n  });\n\n  const schema: JsonSchema7SetType = {\n    type: 'array',\n    uniqueItems: true,\n    items,\n  };\n\n  if (def.minSize) {\n    schema.minItems = def.minSize.value;\n  }\n\n  if (def.maxSize) {\n    schema.maxItems = def.maxSize.value;\n  }\n\n  return schema;\n}\n", "import type { ZodTupleDef, ZodTupleItems, ZodTypeAny } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { JsonSchema7Type } from '../parse-types';\nimport type { Refs } from '../refs';\n\nexport type JsonSchema7TupleType = {\n  type: 'array';\n  minItems: number;\n  items: JsonSchema7Type[];\n} & (\n  | {\n      maxItems: number;\n    }\n  | {\n      additionalItems?: JsonSchema7Type;\n    }\n);\n\nexport function parseTupleDef(\n  def: ZodTupleDef<ZodTupleItems | [], ZodTypeAny | null>,\n  refs: Refs,\n): JsonSchema7TupleType {\n  if (def.rest) {\n    return {\n      type: 'array',\n      minItems: def.items.length,\n      items: def.items\n        .map((x, i) =>\n          parseDef(x._def, {\n            ...refs,\n            currentPath: [...refs.currentPath, 'items', `${i}`],\n          }),\n        )\n        .reduce(\n          (acc: JsonSchema7Type[], x) => (x === undefined ? acc : [...acc, x]),\n          [],\n        ),\n      additionalItems: parseDef(def.rest._def, {\n        ...refs,\n        currentPath: [...refs.currentPath, 'additionalItems'],\n      }),\n    };\n  } else {\n    return {\n      type: 'array',\n      minItems: def.items.length,\n      maxItems: def.items.length,\n      items: def.items\n        .map((x, i) =>\n          parseDef(x._def, {\n            ...refs,\n            currentPath: [...refs.currentPath, 'items', `${i}`],\n          }),\n        )\n        .reduce(\n          (acc: JsonSchema7Type[], x) => (x === undefined ? acc : [...acc, x]),\n          [],\n        ),\n    };\n  }\n}\n", "import { parseAnyDef, type JsonSchema7AnyType } from './any';\nexport type JsonSchema7UndefinedType = {\n  not: JsonSchema7AnyType;\n};\n\nexport function parseUndefinedDef(): JsonSchema7UndefinedType {\n  return {\n    not: parseAnyDef(),\n  };\n}\n", "import { parseAnyDef, type JsonSchema7AnyType } from './any';\nexport type JsonSchema7UnknownType = JsonSchema7AnyType;\n\nexport function parseUnknownDef(): JsonSchema7UnknownType {\n  return parseAnyDef();\n}\n", "import type { ZodReadonlyDef } from 'zod/v3';\nimport { parseDef } from '../parse-def';\nimport type { Refs } from '../refs';\n\nexport const parseReadonlyDef = (def: ZodReadonlyDef<any>, refs: Refs) => {\n  return parseDef(def.innerType._def, refs);\n};\n", "import type { ZodFirstPartyTypeKind } from 'zod/v3';\nimport { parseAnyDef } from './parsers/any';\nimport { parseArrayDef } from './parsers/array';\nimport { parseBigintDef } from './parsers/bigint';\nimport { parseBooleanDef } from './parsers/boolean';\nimport { parseBrandedDef } from './parsers/branded';\nimport { parseCatchDef } from './parsers/catch';\nimport { parseDateDef } from './parsers/date';\nimport { parseDefaultDef } from './parsers/default';\nimport { parseEffectsDef } from './parsers/effects';\nimport { parseEnumDef } from './parsers/enum';\nimport { parseIntersectionDef } from './parsers/intersection';\nimport { parseLiteralDef } from './parsers/literal';\nimport { parseMapDef } from './parsers/map';\nimport { parseNativeEnumDef } from './parsers/native-enum';\nimport { parseNeverDef } from './parsers/never';\nimport { parseNullDef } from './parsers/null';\nimport { parseNullableDef } from './parsers/nullable';\nimport { parseNumberDef } from './parsers/number';\nimport { parseObjectDef } from './parsers/object';\nimport { parseOptionalDef } from './parsers/optional';\nimport { parsePipelineDef } from './parsers/pipeline';\nimport { parsePromiseDef } from './parsers/promise';\nimport { parseRecordDef } from './parsers/record';\nimport { parseSetDef } from './parsers/set';\nimport { parseStringDef } from './parsers/string';\nimport { parseTupleDef } from './parsers/tuple';\nimport { parseUndefinedDef } from './parsers/undefined';\nimport { parseUnionDef } from './parsers/union';\nimport { parseUnknownDef } from './parsers/unknown';\nimport type { Refs } from './refs';\nimport { parseReadonlyDef } from './parsers/readonly';\nimport type { JsonSchema7Type } from './parse-types';\n\nexport type InnerDefGetter = () => any;\n\ntype Zod3TypeName = `${ZodFirstPartyTypeKind}`;\n\nexport const selectParser = (\n  def: any,\n  typeName: Zod3TypeName,\n  refs: Refs,\n): JsonSchema7Type | undefined | InnerDefGetter => {\n  switch (typeName) {\n    case 'ZodString':\n      return parseStringDef(def, refs);\n    case 'ZodNumber':\n      return parseNumberDef(def);\n    case 'ZodObject':\n      return parseObjectDef(def, refs);\n    case 'ZodBigInt':\n      return parseBigintDef(def);\n    case 'ZodBoolean':\n      return parseBooleanDef();\n    case 'ZodDate':\n      return parseDateDef(def, refs);\n    case 'ZodUndefined':\n      return parseUndefinedDef();\n    case 'ZodNull':\n      return parseNullDef();\n    case 'ZodArray':\n      return parseArrayDef(def, refs);\n    case 'ZodUnion':\n    case 'ZodDiscriminatedUnion':\n      return parseUnionDef(def, refs);\n    case 'ZodIntersection':\n      return parseIntersectionDef(def, refs);\n    case 'ZodTuple':\n      return parseTupleDef(def, refs);\n    case 'ZodRecord':\n      return parseRecordDef(def, refs);\n    case 'ZodLiteral':\n      return parseLiteralDef(def);\n    case 'ZodEnum':\n      return parseEnumDef(def);\n    case 'ZodNativeEnum':\n      return parseNativeEnumDef(def);\n    case 'ZodNullable':\n      return parseNullableDef(def, refs);\n    case 'ZodOptional':\n      return parseOptionalDef(def, refs);\n    case 'ZodMap':\n      return parseMapDef(def, refs);\n    case 'ZodSet':\n      return parseSetDef(def, refs);\n    case 'ZodLazy':\n      return () => (def as any).getter()._def;\n    case 'ZodPromise':\n      return parsePromiseDef(def, refs);\n    case 'ZodNaN':\n    case 'ZodNever':\n      return parseNeverDef();\n    case 'ZodEffects':\n      return parseEffectsDef(def, refs);\n    case 'ZodAny':\n      return parseAnyDef();\n    case 'ZodUnknown':\n      return parseUnknownDef();\n    case 'ZodDefault':\n      return parseDefaultDef(def, refs);\n    case 'ZodBranded':\n      return parseBrandedDef(def, refs);\n    case 'ZodReadonly':\n      return parseReadonlyDef(def, refs);\n    case 'ZodCatch':\n      return parseCatchDef(def, refs);\n    case 'ZodPipeline':\n      return parsePipelineDef(def, refs);\n    case 'ZodFunction':\n    case 'ZodVoid':\n    case 'ZodSymbol':\n      return undefined;\n    default:\n      /* c8 ignore next */\n      return ((_: never) => undefined)(typeName);\n  }\n};\n", "export const getRelativePath = (pathA: string[], pathB: string[]) => {\n  let i = 0;\n  for (; i < pathA.length && i < pathB.length; i++) {\n    if (pathA[i] !== pathB[i]) break;\n  }\n  return [(pathA.length - i).toString(), ...pathB.slice(i)].join('/');\n};\n", "import type { ZodTypeDef } from 'zod/v3';\nimport type { Refs, Seen } from './refs';\nimport { ignoreOverride } from './options';\nimport type { JsonSchema7Type } from './parse-types';\nimport { selectParser } from './select-parser';\nimport { getRelativePath } from './get-relative-path';\nimport { parseAnyDef } from './parsers/any';\n\nexport function parseDef(\n  def: ZodTypeDef,\n  refs: Refs,\n  forceResolution = false, // Forces a new schema to be instantiated even though its def has been seen. Used for improving refs in definitions. See https://github.com/StefanTerdell/zod-to-json-schema/pull/61.\n): JsonSchema7Type | undefined {\n  const seenItem = refs.seen.get(def);\n\n  if (refs.override) {\n    const overrideResult = refs.override?.(\n      def,\n      refs,\n      seenItem,\n      forceResolution,\n    );\n\n    if (overrideResult !== ignoreOverride) {\n      return overrideResult;\n    }\n  }\n\n  if (seenItem && !forceResolution) {\n    const seenSchema = get$ref(seenItem, refs);\n\n    if (seenSchema !== undefined) {\n      return seenSchema;\n    }\n  }\n\n  const newItem: Seen = { def, path: refs.currentPath, jsonSchema: undefined };\n\n  refs.seen.set(def, newItem);\n\n  const jsonSchemaOrGetter = selectParser(def, (def as any).typeName, refs);\n\n  // If the return was a function, then the inner definition needs to be extracted before a call to parseDef (recursive)\n  const jsonSchema =\n    typeof jsonSchemaOrGetter === 'function'\n      ? parseDef(jsonSchemaOrGetter(), refs)\n      : jsonSchemaOrGetter;\n\n  if (jsonSchema) {\n    addMeta(def, refs, jsonSchema);\n  }\n\n  if (refs.postProcess) {\n    const postProcessResult = refs.postProcess(jsonSchema, def, refs);\n\n    newItem.jsonSchema = jsonSchema;\n\n    return postProcessResult;\n  }\n\n  newItem.jsonSchema = jsonSchema;\n\n  return jsonSchema;\n}\n\nconst get$ref = (\n  item: Seen,\n  refs: Refs,\n):\n  | {\n      $ref: string;\n    }\n  | {}\n  | undefined => {\n  switch (refs.$refStrategy) {\n    case 'root':\n      return { $ref: item.path.join('/') };\n    case 'relative':\n      return { $ref: getRelativePath(refs.currentPath, item.path) };\n    case 'none':\n    case 'seen': {\n      if (\n        item.path.length < refs.currentPath.length &&\n        item.path.every((value, index) => refs.currentPath[index] === value)\n      ) {\n        console.warn(\n          `Recursive reference detected at ${refs.currentPath.join(\n            '/',\n          )}! Defaulting to any`,\n        );\n\n        return parseAnyDef();\n      }\n\n      return refs.$refStrategy === 'seen' ? parseAnyDef() : undefined;\n    }\n  }\n};\n\nconst addMeta = (\n  def: ZodTypeDef,\n  refs: Refs,\n  jsonSchema: JsonSchema7Type,\n): JsonSchema7Type => {\n  if (def.description) {\n    jsonSchema.description = def.description;\n  }\n  return jsonSchema;\n};\n", "import type { ZodTypeDef } from 'zod/v3';\nimport { getDefaultOptions, type Options } from './options';\nimport type { JsonSchema7Type } from './parse-types';\n\nexport type Refs = {\n  seen: Map<ZodTypeDef, Seen>;\n  currentPath: string[];\n  propertyPath: string[] | undefined;\n} & Options;\n\nexport type Seen = {\n  def: ZodTypeDef;\n  path: string[];\n  jsonSchema: JsonSchema7Type | undefined;\n};\n\nexport const getRefs = (options?: string | Partial<Options>): Refs => {\n  const _options = getDefaultOptions(options);\n  const currentPath =\n    _options.name !== undefined\n      ? [..._options.basePath, _options.definitionPath, _options.name]\n      : _options.basePath;\n  return {\n    ..._options,\n    currentPath: currentPath,\n    propertyPath: undefined,\n    seen: new Map(\n      Object.entries(_options.definitions).map(([name, def]) => [\n        def._def,\n        {\n          def: def._def,\n          path: [..._options.basePath, _options.definitionPath, name],\n          // Resolution of references will be forced even though seen, so it's ok that the schema is undefined here for now.\n          jsonSchema: undefined,\n        },\n      ]),\n    ),\n  };\n};\n", "import type { ZodSchema } from 'zod/v3';\nimport type { Options } from './options';\nimport { parseDef } from './parse-def';\nimport type { JsonSchema7Type } from './parse-types';\nimport { getRefs } from './refs';\nimport { parseAnyDef } from './parsers/any';\n\nconst zod3ToJsonSchema = (\n  schema: ZodSchema<any>,\n  options?: Partial<Options> | string,\n): JsonSchema7Type & {\n  $schema?: string;\n  definitions?: {\n    [key: string]: JsonSchema7Type;\n  };\n} => {\n  const refs = getRefs(options);\n\n  let definitions =\n    typeof options === 'object' && options.definitions\n      ? Object.entries(options.definitions).reduce(\n          (acc: { [key: string]: JsonSchema7Type }, [name, schema]) => ({\n            ...acc,\n            [name]:\n              parseDef(\n                schema._def,\n                {\n                  ...refs,\n                  currentPath: [...refs.basePath, refs.definitionPath, name],\n                },\n                true,\n              ) ?? parseAnyDef(),\n          }),\n          {},\n        )\n      : undefined;\n\n  const name =\n    typeof options === 'string'\n      ? options\n      : options?.nameStrategy === 'title'\n        ? undefined\n        : options?.name;\n\n  const main =\n    parseDef(\n      schema._def,\n      name === undefined\n        ? refs\n        : {\n            ...refs,\n            currentPath: [...refs.basePath, refs.definitionPath, name],\n          },\n      false,\n    ) ?? (parseAnyDef() as JsonSchema7Type);\n\n  const title =\n    typeof options === 'object' &&\n    options.name !== undefined &&\n    options.nameStrategy === 'title'\n      ? options.name\n      : undefined;\n\n  if (title !== undefined) {\n    main.title = title;\n  }\n\n  const combined: ReturnType<typeof zod3ToJsonSchema> =\n    name === undefined\n      ? definitions\n        ? {\n            ...main,\n            [refs.definitionPath]: definitions,\n          }\n        : main\n      : {\n          $ref: [\n            ...(refs.$refStrategy === 'relative' ? [] : refs.basePath),\n            refs.definitionPath,\n            name,\n          ].join('/'),\n          [refs.definitionPath]: {\n            ...definitions,\n            [name]: main,\n          },\n        };\n\n  combined.$schema = 'http://json-schema.org/draft-07/schema#';\n\n  return combined;\n};\n\nexport { zod3ToJsonSchema };\n", "import {\n  EventSourceParserStream,\n  type EventSourceMessage,\n} from 'eventsource-parser/stream';\nimport { safeParseJSON, type ParseResult } from './parse-json';\nimport type { FlexibleSchema } from './schema';\n\n/**\n * Parses a JSON event stream into a stream of parsed JSON objects.\n */\nexport function parseJsonEventStream<T>({\n  stream,\n  schema,\n}: {\n  stream: ReadableStream<Uint8Array>;\n  schema: FlexibleSchema<T>;\n}): ReadableStream<ParseResult<T>> {\n  return stream\n    .pipeThrough(new TextDecoderStream())\n    .pipeThrough(new EventSourceParserStream())\n    .pipeThrough(\n      new TransformStream<EventSourceMessage, ParseResult<T>>({\n        async transform({ data }, controller) {\n          // ignore the 'DONE' event that e.g. OpenAI sends:\n          if (data === '[DONE]') {\n            return;\n          }\n\n          controller.enqueue(await safeParseJSON({ text: data, schema }));\n        },\n      }),\n    );\n}\n", "import { InvalidArgumentError } from '@ai-sdk/provider';\nimport { safeValidateTypes } from './validate-types';\nimport type { FlexibleSchema } from './schema';\n\nexport async function parseProviderOptions<OPTIONS>({\n  provider,\n  providerOptions,\n  schema,\n}: {\n  provider: string;\n  providerOptions: Record<string, unknown> | undefined;\n  schema: FlexibleSchema<OPTIONS>;\n}): Promise<OPTIONS | undefined> {\n  if (providerOptions?.[provider] == null) {\n    return undefined;\n  }\n\n  const parsedProviderOptions = await safeValidateTypes<OPTIONS | undefined>({\n    value: providerOptions[provider],\n    schema,\n  });\n\n  if (!parsedProviderOptions.success) {\n    throw new InvalidArgumentError({\n      argument: 'providerOptions',\n      message: `invalid ${provider} provider options`,\n      cause: parsedProviderOptions.error,\n    });\n  }\n\n  return parsedProviderOptions.value;\n}\n", "import { APICallError } from '@ai-sdk/provider';\nimport { extractResponseHeaders } from './extract-response-headers';\nimport type { FetchFunction } from './fetch-function';\nimport { handleFetchError } from './handle-fetch-error';\nimport { isAbortError } from './is-abort-error';\nimport type { ResponseHandler } from './response-handler';\nimport { getRuntimeEnvironmentUserAgent } from './get-runtime-environment-user-agent';\nimport { withUserAgentSuffix } from './with-user-agent-suffix';\nimport { VERSION } from './version';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => globalThis.fetch;\n\nexport const postJsonToApi = async <T>({\n  url,\n  headers,\n  body,\n  failedResponseHandler,\n  successfulResponseHandler,\n  abortSignal,\n  fetch,\n}: {\n  url: string;\n  headers?: Record<string, string | undefined>;\n  body: unknown;\n  failedResponseHandler: ResponseHandler<APICallError>;\n  successfulResponseHandler: ResponseHandler<T>;\n  abortSignal?: AbortSignal;\n  fetch?: FetchFunction;\n}) =>\n  await postToApi({\n    url,\n    headers: {\n      'Content-Type': 'application/json',\n      ...headers,\n    },\n    body: {\n      content: JSON.stringify(body),\n      values: body,\n    },\n    failedResponseHandler,\n    successfulResponseHandler,\n    abortSignal,\n    fetch,\n  });\n\nexport const postFormDataToApi = async <T>({\n  url,\n  headers,\n  formData,\n  failedResponseHandler,\n  successfulResponseHandler,\n  abortSignal,\n  fetch,\n}: {\n  url: string;\n  headers?: Record<string, string | undefined>;\n  formData: FormData;\n  failedResponseHandler: ResponseHandler<APICallError>;\n  successfulResponseHandler: ResponseHandler<T>;\n  abortSignal?: AbortSignal;\n  fetch?: FetchFunction;\n}) =>\n  await postToApi({\n    url,\n    headers,\n    body: {\n      content: formData,\n      values: Object.fromEntries((formData as any).entries()),\n    },\n    failedResponseHandler,\n    successfulResponseHandler,\n    abortSignal,\n    fetch,\n  });\n\nexport const postToApi = async <T>({\n  url,\n  headers = {},\n  body,\n  successfulResponseHandler,\n  failedResponseHandler,\n  abortSignal,\n  fetch = getOriginalFetch(),\n}: {\n  url: string;\n  headers?: Record<string, string | undefined>;\n  body: {\n    content: string | FormData | Uint8Array | Blob;\n    values: unknown;\n  };\n  failedResponseHandler: ResponseHandler<Error>;\n  successfulResponseHandler: ResponseHandler<T>;\n  abortSignal?: AbortSignal;\n  fetch?: FetchFunction;\n}) => {\n  try {\n    const response = await fetch(url, {\n      method: 'POST',\n      headers: withUserAgentSuffix(\n        headers,\n        `ai-sdk/provider-utils/${VERSION}`,\n        getRuntimeEnvironmentUserAgent(),\n      ),\n      body: body.content,\n      signal: abortSignal,\n    });\n\n    const responseHeaders = extractResponseHeaders(response);\n\n    if (!response.ok) {\n      let errorInformation: {\n        value: Error;\n        responseHeaders?: Record<string, string> | undefined;\n      };\n\n      try {\n        errorInformation = await failedResponseHandler({\n          response,\n          url,\n          requestBodyValues: body.values,\n        });\n      } catch (error) {\n        if (isAbortError(error) || APICallError.isInstance(error)) {\n          throw error;\n        }\n\n        throw new APICallError({\n          message: 'Failed to process error response',\n          cause: error,\n          statusCode: response.status,\n          url,\n          responseHeaders,\n          requestBodyValues: body.values,\n        });\n      }\n\n      throw errorInformation.value;\n    }\n\n    try {\n      return await successfulResponseHandler({\n        response,\n        url,\n        requestBodyValues: body.values,\n      });\n    } catch (error) {\n      if (error instanceof Error) {\n        if (isAbortError(error) || APICallError.isInstance(error)) {\n          throw error;\n        }\n      }\n\n      throw new APICallError({\n        message: 'Failed to process successful response',\n        cause: error,\n        statusCode: response.status,\n        url,\n        responseHeaders,\n        requestBodyValues: body.values,\n      });\n    }\n  } catch (error) {\n    throw handleFetchError({ error, url, requestBodyValues: body.values });\n  }\n};\n", "import type { JSONValue, JSONObject } from '@ai-sdk/provider';\nimport type { FlexibleSchema } from '../schema';\nimport type { ToolResultOutput } from './content-part';\nimport type { Context } from './context';\nimport type { ExecutableTool } from './executable-tool';\nimport type { NeverOptional } from './never-optional';\nimport type { ProviderOptions } from './provider-options';\nimport type {\n  ToolExecuteFunction,\n  ToolExecutionOptions,\n} from './tool-execute-function';\nimport type { ToolNeedsApprovalFunction } from './tool-needs-approval-function';\nimport type { SandboxSession } from './sandbox';\n\n/**\n * Helper type to determine the outputSchema and execute function properties of a tool.\n */\ntype ToolOutputProperties<\n  INPUT,\n  OUTPUT,\n  CONTEXT extends Context | unknown | never,\n> = NeverOptional<\n  OUTPUT,\n  | {\n      /**\n       * The optional schema of the output that the tool produces.\n       *\n       * If not provided, the output shape will be inferred from the execute function.\n       */\n      outputSchema?: FlexibleSchema<OUTPUT>;\n\n      /**\n       * An async function that is called with the arguments from the tool call and produces a result.\n       * If not provided, the tool will not be executed automatically.\n       *\n       * @args is the input of the tool call.\n       * @options.abortSignal is a signal that can be used to abort the tool call.\n       */\n      execute: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n    }\n  | {\n      /**\n       * The schema of the output that the tool produces.\n       *\n       * Required when no execute function is provided.\n       */\n      outputSchema: FlexibleSchema<OUTPUT>;\n\n      execute?: never;\n    }\n>;\n\n/**\n * Common properties shared by all tool kinds.\n */\ntype BaseTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = {\n  /**\n   * An optional title of the tool.\n   *\n   * @deprecated Use `providerMetadata` for source-specific tool display metadata.\n   */\n  title?: string;\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Optional metadata about the tool itself (e.g. its source).\n   *\n   * Unlike `providerOptions`, this metadata is not sent to the language\n   * model. Instead, it is propagated onto the resulting tool call's\n   * `toolMetadata` so consumers can read it from tool call / result parts\n   * and UI message parts. This is useful for sources of dynamic tools (e.g.\n   * an MCP server) to identify themselves.\n   */\n  metadata?: JSONObject;\n\n  /**\n   * The schema of the input that the tool expects.\n   * The language model will use this to generate the input.\n   * It is also used to validate the output of the language model.\n   *\n   * You can use descriptions on the schema properties to make the input understandable for the language model.\n   */\n  inputSchema: FlexibleSchema<INPUT>;\n\n  /**\n   * An optional schema describing the context that the tool expects.\n   *\n   * The context is passed to execute function as part of the execution options.\n   */\n  contextSchema?: FlexibleSchema<CONTEXT>;\n\n  /**\n   * Whether the tool needs approval before it can be executed.\n   *\n   * @deprecated Tool approval is handled on a `generateText` / `streamText` level now.\n   */\n  needsApproval?:\n    | boolean\n    | ToolNeedsApprovalFunction<\n        [INPUT] extends [never] ? unknown : INPUT,\n        NoInfer<CONTEXT>\n      >;\n\n  /**\n   * Optional function that is called when the model starts generating the tool input.\n   * In non-streaming contexts, it is called immediately before `onInputAvailable`.\n   */\n  onInputStart?: (\n    options: ToolExecutionOptions<NoInfer<CONTEXT>>,\n  ) => void | PromiseLike<void>;\n\n  /**\n   * Optional function that is called when an argument streaming delta is available.\n   * Only called when the tool is used in a streaming context.\n   */\n  onInputDelta?: (\n    options: { inputTextDelta: string } & ToolExecutionOptions<\n      NoInfer<CONTEXT>\n    >,\n  ) => void | PromiseLike<void>;\n\n  /**\n   * Optional function that is called when a tool call can be started,\n   * even if the execute function is not provided.\n   */\n  onInputAvailable?: (\n    options: {\n      input: [INPUT] extends [never] ? unknown : INPUT;\n    } & ToolExecutionOptions<NoInfer<CONTEXT>>,\n  ) => void | PromiseLike<void>;\n\n  /**\n   * Optional conversion function that maps the tool result to an output that can be used by the language model.\n   *\n   * If not provided, the tool result will be sent as a JSON object.\n   *\n   * This function is invoked on the server by `convertToModelMessages`, so ensure that you pass the same \"tools\" (ToolSet) to both \"convertToModelMessages\" and \"streamText\" (or other generation APIs).\n   */\n  toModelOutput?: (options: {\n    /**\n     * The ID of the tool call. You can use it e.g. when sending tool-call related information with stream data.\n     */\n    toolCallId: string;\n\n    /**\n     * The input of the tool call.\n     */\n    input: [INPUT] extends [never] ? unknown : INPUT;\n\n    /**\n     * The output of the tool call.\n     */\n    output: 0 extends 1 & OUTPUT\n      ? any\n      : [OUTPUT] extends [never]\n        ? any\n        : NoInfer<OUTPUT>;\n  }) => ToolResultOutput | PromiseLike<ToolResultOutput>;\n} & ToolOutputProperties<INPUT, OUTPUT, NoInfer<CONTEXT>>;\n\n/**\n * Common properties shared by function-style tools.\n */\ntype BaseFunctionTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseTool<INPUT, OUTPUT, CONTEXT> & {\n  /**\n   * Optional description of what the tool does.\n   *\n   * Included in the tool definition sent to the language model so it can\n   * decide when and how to call the tool.\n   *\n   * Provide a string for a fixed description, or a function that returns a\n   * string from the current `context` (and optional `experimental_sandbox`) when the\n   * description should vary per call.\n   */\n  description?:\n    | string\n    | ((options: {\n        context: NoInfer<CONTEXT>;\n        experimental_sandbox?: SandboxSession;\n      }) => string);\n\n  /**\n   * Strict mode setting for the tool.\n   *\n   * Providers that support strict mode will use this setting to determine\n   * how the input should be generated. Strict mode will always produce\n   * valid inputs, but it might limit what input schemas are supported.\n   */\n  strict?: boolean;\n\n  /**\n   * An optional list of input examples that show the language\n   * model what the input should look like.\n   */\n  inputExamples?: Array<{ input: NoInfer<INPUT> }>;\n\n  // make all properties available to improve usage dx\n  id?: never;\n  isProviderExecuted?: never;\n  args?: never;\n  supportsDeferredResults?: never;\n};\n\n/**\n * Tool with user-defined input and output schemas that is executed by the AI SDK.\n */\nexport type FunctionTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseFunctionTool<INPUT, OUTPUT, CONTEXT> & {\n  type?: undefined | 'function';\n};\n\n/**\n * Tool that is defined at runtime.\n * The types of input and output are not known at development time.\n *\n * For example, MCP tools that are not known at development time.\n */\nexport type DynamicTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseFunctionTool<INPUT, OUTPUT, CONTEXT> & {\n  type: 'dynamic';\n};\n\n/**\n * Common properties shared by provider tools.\n */\ntype BaseProviderTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseTool<INPUT, OUTPUT, CONTEXT> & {\n  type: 'provider';\n\n  /**\n   * The ID of the tool. Must follow the format `<provider-name>.<unique-tool-name>`.\n   */\n  id: `${string}.${string}`;\n\n  /**\n   * The arguments for configuring the tool. Must match the expected arguments defined by the provider for this tool.\n   */\n  args: Record<string, unknown>;\n\n  // make all properties available to improve usage dx\n  description?: never;\n  strict?: never;\n  inputExamples?: never;\n};\n\n/**\n * Tool with provider-defined input and output schemas that is executed by the\n * user.\n *\n * For example, shell tools that are executed in a local shell, but have provider-defined input and output schemas.\n */\nexport type ProviderDefinedTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseProviderTool<INPUT, OUTPUT, CONTEXT> & {\n  /**\n   * Flag that indicates whether the tool is executed by the provider.\n   */\n  isProviderExecuted: false;\n\n  // make all properties available to improve usage dx\n  supportsDeferredResults?: never;\n};\n\n/**\n * Tool with provider-defined input and output schemas that is executed by the\n * provider.\n *\n * For example, web search tools and code execution tools that are executed by the provider itself.\n */\nexport type ProviderExecutedTool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> = BaseProviderTool<INPUT, OUTPUT, CONTEXT> & {\n  /**\n   * Flag that indicates whether the tool is executed by the provider.\n   */\n  isProviderExecuted: true;\n\n  /**\n   * Whether this provider-executed tool supports deferred results.\n   *\n   * When true, the tool result may not be returned in the same turn as the\n   * tool call (e.g., when using programmatic tool calling where a server tool\n   * triggers a client-executed tool, and the server tool's result is deferred\n   * until the client tool is resolved).\n   *\n   * This flag allows the AI SDK to handle tool results that arrive without\n   * a matching tool call in the current response.\n   *\n   * @default false\n   */\n  supportsDeferredResults?: boolean;\n};\n\n/**\n * A tool can either be user-defined or provider-defined.\n *\n * It contains the schemas and metadata needed for the language model to call\n * the tool and can include an execute function for tools that are executed by\n * the AI SDK.\n */\nexport type Tool<\n  INPUT extends JSONValue | unknown | never = any,\n  OUTPUT extends JSONValue | unknown | never = any,\n  CONTEXT extends Context | unknown | never = any,\n> =\n  | FunctionTool<INPUT, OUTPUT, CONTEXT>\n  | DynamicTool<INPUT, OUTPUT, CONTEXT>\n  | ProviderDefinedTool<INPUT, OUTPUT, CONTEXT>\n  | ProviderExecutedTool<INPUT, OUTPUT, CONTEXT>;\n\n/**\n * Infer the tool type from a tool object.\n *\n * This is useful for type inference when working with tool objects.\n *\n * When the input has an `execute` function, the return type narrows to\n * `ExecutableTool<Tool<...>>` so that `.execute` is non-nullable without\n * needing `isExecutableTool` or a `!` assertion at the call site.\n */\n// Note: overload order is important for auto-completion.\n// The \"with execute\" overload comes first so calls that include an\n// `execute` function get the narrowed return type. Calls without\n// `execute` fall through to the overloads below.\nexport function tool<INPUT, OUTPUT, CONTEXT extends Context>(\n  tool: Tool<INPUT, OUTPUT, CONTEXT> & {\n    execute: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n  },\n): ExecutableTool<Tool<INPUT, OUTPUT, CONTEXT>>;\nexport function tool<INPUT, OUTPUT, CONTEXT extends Context>(\n  tool: Tool<INPUT, OUTPUT, CONTEXT>,\n): Tool<INPUT, OUTPUT, CONTEXT>;\nexport function tool<INPUT, CONTEXT extends Context>(\n  tool: Tool<INPUT, never, CONTEXT>,\n): Tool<INPUT, never, CONTEXT>;\nexport function tool<OUTPUT, CONTEXT extends Context>(\n  tool: Tool<never, OUTPUT, CONTEXT>,\n): Tool<never, OUTPUT, CONTEXT>;\nexport function tool<CONTEXT extends Context>(\n  tool: Tool<never, never, CONTEXT>,\n): Tool<never, never, CONTEXT>;\nexport function tool(tool: any): any {\n  return tool;\n}\n\n/**\n * Define a dynamic tool.\n */\nexport function dynamicTool(\n  tool: Omit<DynamicTool<unknown, unknown, Context>, 'type'>,\n): DynamicTool<unknown, unknown, Context> {\n  return { ...tool, type: 'dynamic' } as DynamicTool<unknown, unknown, Context>;\n}\n", "import { tool, type ProviderDefinedTool, type Tool } from './types/tool';\nimport type { FlexibleSchema } from './schema';\nimport type { Context } from './types/context';\nimport type { ToolExecuteFunction } from './types/tool-execute-function';\n/**\n * A provider-defined tool is a tool for which the provider defines the input\n * and output schemas, but does not execute the tool.\n */\nexport type ProviderDefinedToolFactory<\n  INPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n> = <OUTPUT>(\n  options: ARGS & {\n    execute?: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n    needsApproval?: Tool<INPUT, OUTPUT, CONTEXT>['needsApproval'];\n    toModelOutput?: Tool<INPUT, OUTPUT, CONTEXT>['toModelOutput'];\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  },\n) => ProviderDefinedTool<INPUT, OUTPUT, CONTEXT>;\n\nexport function createProviderDefinedToolFactory<\n  INPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n>({\n  id,\n  inputSchema,\n}: {\n  id: `${string}.${string}`;\n  inputSchema: FlexibleSchema<INPUT>;\n}): ProviderDefinedToolFactory<INPUT, ARGS, CONTEXT> {\n  return <OUTPUT>({\n    execute,\n    outputSchema,\n    needsApproval,\n    toModelOutput,\n    onInputStart,\n    onInputDelta,\n    onInputAvailable,\n    ...args\n  }: ARGS & {\n    execute?: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n    outputSchema?: FlexibleSchema<OUTPUT>;\n    needsApproval?: Tool<INPUT, OUTPUT, CONTEXT>['needsApproval'];\n    toModelOutput?: Tool<INPUT, OUTPUT, CONTEXT>['toModelOutput'];\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  }): ProviderDefinedTool<INPUT, OUTPUT, CONTEXT> =>\n    tool({\n      type: 'provider',\n      isProviderExecuted: false,\n      id,\n      args,\n      inputSchema,\n      outputSchema,\n      execute,\n      needsApproval,\n      toModelOutput,\n      onInputStart,\n      onInputDelta,\n      onInputAvailable,\n    }) as ProviderDefinedTool<INPUT, OUTPUT, CONTEXT>;\n}\n\nexport type ProviderDefinedToolFactoryWithOutputSchema<\n  INPUT,\n  OUTPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n> = (\n  options: ARGS & {\n    execute?: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n    needsApproval?: Tool<INPUT, OUTPUT, CONTEXT>['needsApproval'];\n    toModelOutput?: Tool<INPUT, OUTPUT, CONTEXT>['toModelOutput'];\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  },\n) => ProviderDefinedTool<INPUT, OUTPUT, CONTEXT>;\n\nexport function createProviderDefinedToolFactoryWithOutputSchema<\n  INPUT,\n  OUTPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n>({\n  id,\n  inputSchema,\n  outputSchema,\n}: {\n  id: `${string}.${string}`;\n  inputSchema: FlexibleSchema<INPUT>;\n  outputSchema: FlexibleSchema<OUTPUT>;\n}): ProviderDefinedToolFactoryWithOutputSchema<INPUT, OUTPUT, ARGS, CONTEXT> {\n  return ({\n    execute,\n    needsApproval,\n    toModelOutput,\n    onInputStart,\n    onInputDelta,\n    onInputAvailable,\n    ...args\n  }: ARGS & {\n    execute?: ToolExecuteFunction<INPUT, OUTPUT, CONTEXT>;\n    needsApproval?: Tool<INPUT, OUTPUT, CONTEXT>['needsApproval'];\n    toModelOutput?: Tool<INPUT, OUTPUT, CONTEXT>['toModelOutput'];\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  }): ProviderDefinedTool<INPUT, OUTPUT, CONTEXT> =>\n    tool({\n      type: 'provider',\n      isProviderExecuted: false,\n      id,\n      args,\n      inputSchema,\n      outputSchema,\n      execute,\n      needsApproval,\n      toModelOutput,\n      onInputStart,\n      onInputDelta,\n      onInputAvailable,\n    }) as ProviderDefinedTool<INPUT, OUTPUT, CONTEXT>;\n}\n", "import type { FlexibleSchema } from './schema';\nimport type { Context } from './types/context';\nimport { tool, type ProviderExecutedTool, type Tool } from './types/tool';\n/**\n * A provider-executed tool is a tool for which the provider executes the tool.\n */\nexport type ProviderExecutedToolFactory<\n  INPUT,\n  OUTPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n> = (\n  options: ARGS & {\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  },\n) => ProviderExecutedTool<INPUT, OUTPUT, CONTEXT>;\n\nexport function createProviderExecutedToolFactory<\n  INPUT,\n  OUTPUT,\n  ARGS extends object,\n  CONTEXT extends Context = {},\n>({\n  id,\n  inputSchema,\n  outputSchema,\n  supportsDeferredResults,\n}: {\n  id: `${string}.${string}`;\n  inputSchema: FlexibleSchema<INPUT>;\n  outputSchema: FlexibleSchema<OUTPUT>;\n\n  /**\n   * Whether this provider-executed tool supports deferred results.\n   *\n   * When true, the tool result may not be returned in the same turn as the\n   * tool call (e.g., when using programmatic tool calling where a server tool\n   * triggers a client-executed tool, and the server tool's result is deferred\n   * until the client tool is resolved).\n   *\n   * @default false\n   */\n  supportsDeferredResults?: boolean;\n}): ProviderExecutedToolFactory<INPUT, OUTPUT, ARGS, CONTEXT> {\n  return ({\n    onInputStart,\n    onInputDelta,\n    onInputAvailable,\n    ...args\n  }: ARGS & {\n    onInputStart?: Tool<INPUT, OUTPUT, CONTEXT>['onInputStart'];\n    onInputDelta?: Tool<INPUT, OUTPUT, CONTEXT>['onInputDelta'];\n    onInputAvailable?: Tool<INPUT, OUTPUT, CONTEXT>['onInputAvailable'];\n  }): ProviderExecutedTool<INPUT, OUTPUT, CONTEXT> =>\n    tool({\n      type: 'provider',\n      isProviderExecuted: true,\n      id,\n      args,\n      inputSchema,\n      outputSchema,\n      onInputStart,\n      onInputDelta,\n      onInputAvailable,\n      supportsDeferredResults,\n    }) as ProviderExecutedTool<INPUT, OUTPUT, CONTEXT>;\n}\n", "import type { MaybePromiseLike } from './maybe-promise-like';\n\n/**\n * A value or a lazy provider of a value, each of which may be synchronous or asynchronous.\n *\n * @template T The resolved type after {@link resolve} runs.\n *\n * One of:\n * - A plain value of type {@link T}\n * - A {@link PromiseLike} of {@link T} (e.g. a `Promise<T>`)\n * - A zero-argument function that returns a plain {@link T}\n * - A zero-argument function that returns a {@link PromiseLike} of {@link T}\n *\n * The function form is only invoked when passed to {@link resolve}; it is not distinguished from\n * a {@link T} that happens to be a function—callers should wrap function values if disambiguation\n * is required.\n */\nexport type Resolvable<T> = MaybePromiseLike<T> | (() => MaybePromiseLike<T>);\n\n/**\n * Resolves a value that could be a raw value, a Promise, a function returning a value,\n * or a function returning a Promise.\n */\nexport async function resolve<T>(value: Resolvable<T>): Promise<T> {\n  // If it's a function, call it to get the value/promise\n  if (typeof value === 'function') {\n    value = (value as Function)();\n  }\n\n  // Otherwise just resolve whatever we got (value or promise)\n  return Promise.resolve(value as T);\n}\n", "import {\n  UnsupportedFunctionalityError,\n  type LanguageModelV4FilePart,\n} from '@ai-sdk/provider';\nimport {\n  detectMediaType,\n  getTopLevelMediaType,\n  isFullMediaType,\n} from './detect-media-type';\n\n/**\n * Resolves a file part's media type to a full `type/subtype` form required by\n * providers whose API demands the full IANA media type.\n *\n * - If `part.mediaType` is already a full media type (e.g. `image/png`), it is\n *   returned as-is.\n * - Otherwise, when inline bytes are available (`part.data.type === 'data'`),\n *   the subtype is sniffed from the bytes using the signature table that\n *   corresponds to the top-level segment.\n * - When neither applies (e.g. top-level-only with a URL source, or bytes that\n *   cannot be detected), an `UnsupportedFunctionalityError` is thrown.\n */\nexport function resolveFullMediaType({\n  part,\n}: {\n  part: LanguageModelV4FilePart;\n}): string {\n  if (isFullMediaType(part.mediaType)) {\n    return part.mediaType;\n  }\n\n  if (part.data.type === 'data') {\n    const detected = detectMediaType({\n      data: part.data.data,\n      topLevelType: getTopLevelMediaType(part.mediaType),\n    });\n    if (detected) {\n      return detected;\n    }\n\n    throw new UnsupportedFunctionalityError({\n      functionality: `file of media type \"${part.mediaType}\" must specify subtype since it could not be auto-detected`,\n    });\n  }\n\n  throw new UnsupportedFunctionalityError({\n    functionality: `file of media type \"${part.mediaType}\" must specify subtype since it is not passed as inline bytes`,\n  });\n}\n", "import {\n  NoSuchProviderReferenceError,\n  type SharedV4ProviderReference,\n} from '@ai-sdk/provider';\n/**\n * Resolves a provider reference to the provider-specific identifier for the\n * given provider. Throws `NoSuchProviderReferenceError` if the provider is not\n * found in the reference mapping.\n */\nexport function resolveProviderReference({\n  reference,\n  provider,\n}: {\n  reference: SharedV4ProviderReference;\n  provider: string;\n}): string {\n  const id = reference[provider];\n  if (id != null) {\n    return id;\n  }\n\n  throw new NoSuchProviderReferenceError({\n    provider,\n    reference,\n  });\n}\n", "import { delay } from './delay';\nimport { getErrorMessage } from './get-error-message';\nimport { isAbortError } from './is-abort-error';\n\nexport type RetryFunction = <OUTPUT>(\n  fn: () => PromiseLike<OUTPUT>,\n) => PromiseLike<OUTPUT>;\n\nexport type RetryErrorReason = 'maxRetriesExceeded' | 'errorNotRetryable';\n\nexport type RetryErrorFactory = ({\n  message,\n  reason,\n  errors,\n}: {\n  message: string;\n  reason: RetryErrorReason;\n  errors: Array<unknown>;\n}) => unknown;\n\nexport type RetryDelayProvider = ({\n  error,\n  exponentialBackoffDelay,\n}: {\n  error: unknown;\n  exponentialBackoffDelay: number;\n}) => number;\n\nexport type ShouldRetryFunction = (\n  error: unknown,\n) => boolean | Promise<boolean>;\n\n/**\n * Retries a failed operation with exponential backoff.\n */\nexport const retryWithExponentialBackoff =\n  ({\n    maxRetries = 2,\n    initialDelayInMs = 2000,\n    backoffFactor = 2,\n    abortSignal,\n    shouldRetry,\n    getDelayInMs = ({ exponentialBackoffDelay }) => exponentialBackoffDelay,\n    createRetryError = ({ message }) => new Error(message),\n  }: {\n    maxRetries?: number;\n    initialDelayInMs?: number;\n    backoffFactor?: number;\n    abortSignal?: AbortSignal;\n    shouldRetry: ShouldRetryFunction;\n    getDelayInMs?: RetryDelayProvider;\n    createRetryError?: RetryErrorFactory;\n  }): RetryFunction =>\n  async <OUTPUT>(f: () => PromiseLike<OUTPUT>) =>\n    retryWithExponentialBackoffInternal(f, {\n      maxRetries,\n      delayInMs: initialDelayInMs,\n      backoffFactor,\n      abortSignal,\n      shouldRetry,\n      getDelayInMs,\n      createRetryError,\n    });\n\nasync function retryWithExponentialBackoffInternal<OUTPUT>(\n  f: () => PromiseLike<OUTPUT>,\n  {\n    maxRetries,\n    delayInMs,\n    backoffFactor,\n    abortSignal,\n    shouldRetry,\n    getDelayInMs,\n    createRetryError,\n  }: {\n    maxRetries: number;\n    delayInMs: number;\n    backoffFactor: number;\n    abortSignal: AbortSignal | undefined;\n    shouldRetry: ShouldRetryFunction;\n    getDelayInMs: RetryDelayProvider;\n    createRetryError: RetryErrorFactory;\n  },\n  errors: unknown[] = [],\n): Promise<OUTPUT> {\n  try {\n    return await f();\n  } catch (error) {\n    if (isAbortError(error)) {\n      throw error; // don't retry when the request was aborted\n    }\n\n    if (maxRetries === 0) {\n      throw error; // don't wrap the error when retries are disabled\n    }\n\n    const errorMessage = getErrorMessage(error);\n    const newErrors = [...errors, error];\n    const tryNumber = newErrors.length;\n\n    if (tryNumber > maxRetries) {\n      throw createRetryError({\n        message: `Failed after ${tryNumber} attempts. Last error: ${errorMessage}`,\n        reason: 'maxRetriesExceeded',\n        errors: newErrors,\n      });\n    }\n\n    if ((await shouldRetry(error)) && tryNumber <= maxRetries) {\n      await delay(\n        getDelayInMs({\n          error,\n          exponentialBackoffDelay: delayInMs,\n        }),\n        { abortSignal },\n      );\n\n      return retryWithExponentialBackoffInternal(\n        f,\n        {\n          maxRetries,\n          delayInMs: backoffFactor * delayInMs,\n          backoffFactor,\n          abortSignal,\n          shouldRetry,\n          getDelayInMs,\n          createRetryError,\n        },\n        newErrors,\n      );\n    }\n\n    if (tryNumber === 1) {\n      throw error; // don't wrap the error when a non-retryable error occurs on the first try\n    }\n\n    throw createRetryError({\n      message: `Failed after ${tryNumber} attempts with non-retryable error: '${errorMessage}'`,\n      reason: 'errorNotRetryable',\n      errors: newErrors,\n    });\n  }\n}\n", "import { APICallError, EmptyResponseBodyError } from '@ai-sdk/provider';\nimport { extractResponseHeaders } from './extract-response-headers';\nimport { parseJSON, safeParseJSON, type ParseResult } from './parse-json';\nimport { parseJsonEventStream } from './parse-json-event-stream';\nimport { readResponseWithSizeLimit } from './read-response-with-size-limit';\nimport type { FlexibleSchema } from './schema';\n\nexport type ResponseHandler<RETURN_TYPE> = (options: {\n  url: string;\n  requestBodyValues: unknown;\n  response: Response;\n}) => PromiseLike<{\n  value: RETURN_TYPE;\n  rawValue?: unknown;\n  responseHeaders?: Record<string, string>;\n}>;\n\nconst textDecoder = new TextDecoder();\n\nasync function readResponseBodyAsText({\n  response,\n  url,\n}: {\n  response: Response;\n  url: string;\n}) {\n  return textDecoder.decode(\n    await readResponseWithSizeLimit({\n      response,\n      url,\n    }),\n  );\n}\n\nexport const createJsonErrorResponseHandler =\n  <T>({\n    errorSchema,\n    errorToMessage,\n    isRetryable,\n  }: {\n    errorSchema: FlexibleSchema<T>;\n    errorToMessage: (error: T) => string;\n    isRetryable?: (response: Response, error?: T) => boolean;\n  }): ResponseHandler<APICallError> =>\n  async ({ response, url, requestBodyValues }) => {\n    const responseBody = await readResponseBodyAsText({ response, url });\n    const responseHeaders = extractResponseHeaders(response);\n\n    // Some providers return an empty response body for some errors:\n    if (responseBody.trim() === '') {\n      return {\n        responseHeaders,\n        value: new APICallError({\n          message: response.statusText,\n          url,\n          requestBodyValues,\n          statusCode: response.status,\n          responseHeaders,\n          responseBody,\n          isRetryable: isRetryable?.(response),\n        }),\n      };\n    }\n\n    // resilient parsing in case the response is not JSON or does not match the schema:\n    try {\n      const parsedError = await parseJSON({\n        text: responseBody,\n        schema: errorSchema,\n      });\n\n      return {\n        responseHeaders,\n        value: new APICallError({\n          message: errorToMessage(parsedError),\n          url,\n          requestBodyValues,\n          statusCode: response.status,\n          responseHeaders,\n          responseBody,\n          data: parsedError,\n          isRetryable: isRetryable?.(response, parsedError),\n        }),\n      };\n    } catch {\n      return {\n        responseHeaders,\n        value: new APICallError({\n          message: response.statusText,\n          url,\n          requestBodyValues,\n          statusCode: response.status,\n          responseHeaders,\n          responseBody,\n          isRetryable: isRetryable?.(response),\n        }),\n      };\n    }\n  };\n\nexport const createEventSourceResponseHandler =\n  <T>(\n    chunkSchema: FlexibleSchema<T>,\n  ): ResponseHandler<ReadableStream<ParseResult<T>>> =>\n  async ({ response }: { response: Response }) => {\n    const responseHeaders = extractResponseHeaders(response);\n\n    if (response.body == null) {\n      throw new EmptyResponseBodyError({});\n    }\n\n    return {\n      responseHeaders,\n      value: parseJsonEventStream({\n        stream: response.body,\n        schema: chunkSchema,\n      }),\n    };\n  };\n\nexport const createJsonResponseHandler =\n  <T>(responseSchema: FlexibleSchema<T>): ResponseHandler<T> =>\n  async ({ response, url, requestBodyValues }) => {\n    const responseBody = await readResponseBodyAsText({ response, url });\n\n    const parsedResult = await safeParseJSON({\n      text: responseBody,\n      schema: responseSchema,\n    });\n\n    const responseHeaders = extractResponseHeaders(response);\n\n    if (!parsedResult.success) {\n      throw new APICallError({\n        message: 'Invalid JSON response',\n        cause: parsedResult.error,\n        statusCode: response.status,\n        responseHeaders,\n        responseBody,\n        url,\n        requestBodyValues,\n      });\n    }\n\n    return {\n      responseHeaders,\n      value: parsedResult.value,\n      rawValue: parsedResult.rawValue,\n    };\n  };\n\nexport const createBinaryResponseHandler =\n  (): ResponseHandler<Uint8Array> =>\n  async ({ response, url, requestBodyValues }) => {\n    const responseHeaders = extractResponseHeaders(response);\n\n    if (!response.body) {\n      throw new APICallError({\n        message: 'Response body is empty',\n        url,\n        requestBodyValues,\n        statusCode: response.status,\n        responseHeaders,\n        responseBody: undefined,\n      });\n    }\n\n    try {\n      const buffer = await response.arrayBuffer();\n      return {\n        responseHeaders,\n        value: new Uint8Array(buffer),\n      };\n    } catch (error) {\n      throw new APICallError({\n        message: 'Failed to read response as array buffer',\n        url,\n        requestBodyValues,\n        statusCode: response.status,\n        responseHeaders,\n        responseBody: undefined,\n        cause: error,\n      });\n    }\n  };\n\nexport const createStatusCodeErrorResponseHandler =\n  (): ResponseHandler<APICallError> =>\n  async ({ response, url, requestBodyValues }) => {\n    const responseHeaders = extractResponseHeaders(response);\n    const responseBody = await readResponseBodyAsText({ response, url });\n\n    return {\n      responseHeaders,\n      value: new APICallError({\n        message: response.statusText,\n        url,\n        requestBodyValues: requestBodyValues as Record<string, unknown>,\n        statusCode: response.status,\n        responseHeaders,\n        responseBody,\n      }),\n    };\n  };\n", "import type { JSONValue } from '@ai-sdk/provider';\n\n/**\n * Checks whether a value can cross a workflow serialization boundary.\n *\n * The check accepts JSON-like primitives, arrays, and plain objects whose\n * nested values are also serializable. It rejects functions, symbols,\n * bigints, and non-plain objects such as class instances, dates, and regexes.\n */\nexport function isJSONSerializable(value: unknown): value is JSONValue {\n  if (value === null || value === undefined) return true;\n\n  const type = typeof value;\n  if (type === 'string' || type === 'number' || type === 'boolean') return true;\n  if (type === 'function' || type === 'symbol' || type === 'bigint')\n    return false;\n\n  if (Array.isArray(value)) {\n    return value.every(isJSONSerializable);\n  }\n\n  if (Object.getPrototypeOf(value) === Object.prototype) {\n    return Object.values(value as Record<string, unknown>).every(\n      isJSONSerializable,\n    );\n  }\n\n  return false;\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_SerializationError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class SerializationError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({\n    message = 'Failed to serialize value.',\n    cause,\n  }: {\n    message?: string;\n    cause?: unknown;\n  } = {}) {\n    super({ name, message, cause });\n  }\n\n  static isInstance(error: unknown): error is SerializationError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport { isJSONSerializable } from './is-json-serializable';\nimport type { Resolvable } from './resolve';\nimport { SerializationError } from './serialization-error';\n\n/**\n * Serializes a model instance for workflow step boundaries.\n * Returns the `modelId` plus the JSON-serializable config properties.\n *\n * Non-serializable values are omitted. As a special case, a\n * function-valued `headers` property is resolved during serialization\n * and included if the returned value is JSON-serializable.\n *\n * Used as the body of `static [WORKFLOW_SERIALIZE]` in provider models.\n *\n * @example\n * ```ts\n * static [WORKFLOW_SERIALIZE](model: MyLanguageModel) {\n *   return serializeModelOptions({\n *     modelId: model.modelId,\n *     config: model.config,\n *   });\n * }\n * ```\n */\nexport function serializeModelOptions<\n  CONFIG extends {\n    headers?: Resolvable<Record<string, string | undefined>>;\n  },\n>(options: {\n  modelId: string;\n  config: CONFIG;\n}): {\n  modelId: string;\n  config: JSONObject;\n} {\n  const serializableConfig: JSONObject = {};\n  for (const [key, value] of Object.entries(options.config)) {\n    if (key === 'headers') {\n      const resolvedHeaders = resolveSync(value);\n      if (isJSONSerializable(resolvedHeaders)) {\n        serializableConfig[key] = resolvedHeaders;\n      }\n    } else if (isJSONSerializable(value)) {\n      serializableConfig[key] = value;\n    }\n  }\n  return { modelId: options.modelId, config: serializableConfig };\n}\n\nfunction resolveSync<T>(value: Resolvable<T>): T {\n  let next: unknown = value;\n  if (typeof value === 'function') {\n    next = (value as () => unknown)();\n  }\n\n  if (next instanceof Promise) {\n    throw new SerializationError({\n      message: 'Cannot serialize asynchronous model options.',\n    });\n  }\n\n  return next as T;\n}\n", "import {\n  InvalidResponseDataError,\n  type LanguageModelV4StreamPart,\n  type SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport { generateId as defaultGenerateId } from './generate-id';\n\n/**\n * Minimal interface for a streaming tool call delta from an OpenAI-compatible API.\n */\nexport interface StreamingToolCallDelta {\n  index?: number | null;\n  id?: string | null;\n  type?: string | null;\n  function?: {\n    name?: string | null;\n    arguments?: string | null;\n  } | null;\n}\n\nexport interface StreamingToolCallTrackerOptions<\n  DELTA extends StreamingToolCallDelta = StreamingToolCallDelta,\n> {\n  /**\n   * ID generator function for tool call IDs.\n   * Defaults to the standard generateId.\n   */\n  generateId?: () => string;\n\n  /**\n   * How to validate the `type` field on new tool call deltas.\n   * - `'none'`: no validation (default)\n   * - `'if-present'`: throw if type is present and not `'function'`\n   * - `'required'`: throw if type is not exactly `'function'`\n   */\n  typeValidation?: 'none' | 'if-present' | 'required';\n\n  /**\n   * Extract provider-specific metadata from a tool call delta.\n   * Called once when a new tool call is detected.\n   * The returned metadata is stored on the tool call and passed to\n   * `buildToolCallProviderMetadata` when the tool call is finalized.\n   */\n  extractMetadata?: (delta: DELTA) => SharedV4ProviderMetadata | undefined;\n\n  /**\n   * Build the `providerMetadata` object for a `tool-call` event.\n   * Receives the metadata previously extracted via `extractMetadata`.\n   * If `undefined` is returned, no `providerMetadata` is included in the event.\n   */\n  buildToolCallProviderMetadata?: (\n    metadata: SharedV4ProviderMetadata | undefined,\n  ) => SharedV4ProviderMetadata | undefined;\n}\n\ninterface TrackedToolCall {\n  id: string;\n  type: 'function';\n  function: { name: string; arguments: string };\n  hasFinished: boolean;\n  metadata?: SharedV4ProviderMetadata;\n}\n\ntype StreamingToolCallTrackerController = Pick<\n  TransformStreamDefaultController<LanguageModelV4StreamPart>,\n  'enqueue'\n>;\n\n/**\n * Tracks streaming tool call state across multiple deltas from an\n * OpenAI-compatible chat completion stream. Handles argument accumulation,\n * emits tool-input-start/delta/end and tool-call events, and finalizes\n * unfinished tool calls on flush.\n *\n * Used by openai, openai-compatible, groq, deepseek, and alibaba providers.\n */\nexport class StreamingToolCallTracker<\n  DELTA extends StreamingToolCallDelta = StreamingToolCallDelta,\n> {\n  private toolCalls = new Set<TrackedToolCall>();\n  private toolCallsById = new Map<string, TrackedToolCall>();\n  private toolCallsByIndex = new Map<number, TrackedToolCall>();\n  private latestToolCall: TrackedToolCall | undefined;\n  private readonly controller: StreamingToolCallTrackerController;\n  private readonly _generateId: () => string;\n  private readonly typeValidation: 'none' | 'if-present' | 'required';\n  private readonly extractMetadata?: (\n    delta: DELTA,\n  ) => SharedV4ProviderMetadata | undefined;\n  private readonly buildToolCallProviderMetadata?: (\n    metadata: SharedV4ProviderMetadata | undefined,\n  ) => SharedV4ProviderMetadata | undefined;\n\n  constructor(\n    controller: StreamingToolCallTrackerController,\n    options: StreamingToolCallTrackerOptions<DELTA> = {},\n  ) {\n    this.controller = controller;\n    this._generateId = options.generateId ?? defaultGenerateId;\n    this.typeValidation = options.typeValidation ?? 'none';\n    this.extractMetadata = options.extractMetadata;\n    this.buildToolCallProviderMetadata = options.buildToolCallProviderMetadata;\n  }\n\n  /**\n   * Process a tool call delta from a streaming response chunk.\n   * Emits tool-input-start, tool-input-delta, tool-input-end, and tool-call\n   * events as appropriate.\n   */\n  processDelta(toolCallDelta: DELTA): void {\n    const { id, index } = toolCallDelta;\n    let toolCall =\n      id != null && id.length > 0\n        ? this.toolCallsById.get(id)\n        : index != null\n          ? this.toolCallsByIndex.get(index)\n          : this.latestToolCall;\n\n    if (toolCall == null) {\n      toolCall = this.processNewToolCall(toolCallDelta);\n    } else {\n      this.processExistingToolCall(toolCall, toolCallDelta);\n    }\n\n    if (index != null) {\n      this.toolCallsByIndex.set(index, toolCall);\n    }\n    this.latestToolCall = toolCall;\n  }\n\n  /**\n   * Finalize any unfinished tool calls. Should be called during the stream's\n   * flush handler to ensure all tool calls are properly completed.\n   */\n  flush(): void {\n    for (const toolCall of this.toolCalls) {\n      if (!toolCall.hasFinished) {\n        this.finishToolCall(toolCall);\n      }\n    }\n  }\n\n  private processNewToolCall(toolCallDelta: DELTA): TrackedToolCall {\n    if (this.typeValidation === 'required') {\n      if (toolCallDelta.type !== 'function') {\n        throw new InvalidResponseDataError({\n          data: toolCallDelta,\n          message: `Expected 'function' type.`,\n        });\n      }\n    } else if (this.typeValidation === 'if-present') {\n      if (toolCallDelta.type != null && toolCallDelta.type !== 'function') {\n        throw new InvalidResponseDataError({\n          data: toolCallDelta,\n          message: `Expected 'function' type.`,\n        });\n      }\n    }\n\n    if (toolCallDelta.id == null) {\n      throw new InvalidResponseDataError({\n        data: toolCallDelta,\n        message: `Expected 'id' to be a string.`,\n      });\n    }\n\n    if (toolCallDelta.function?.name == null) {\n      throw new InvalidResponseDataError({\n        data: toolCallDelta,\n        message: `Expected 'function.name' to be a string.`,\n      });\n    }\n\n    this.controller.enqueue({\n      type: 'tool-input-start',\n      id: toolCallDelta.id,\n      toolName: toolCallDelta.function.name,\n    });\n\n    const metadata = this.extractMetadata?.(toolCallDelta);\n\n    const toolCall: TrackedToolCall = {\n      id: toolCallDelta.id,\n      type: 'function',\n      function: {\n        name: toolCallDelta.function.name,\n        arguments: toolCallDelta.function.arguments ?? '',\n      },\n      hasFinished: false,\n      metadata,\n    };\n    this.toolCalls.add(toolCall);\n    if (toolCall.id.length > 0) {\n      this.toolCallsById.set(toolCall.id, toolCall);\n    }\n\n    // Emit initial delta if arguments already present\n    if (toolCall.function.arguments.length > 0) {\n      this.controller.enqueue({\n        type: 'tool-input-delta',\n        id: toolCall.id,\n        delta: toolCall.function.arguments,\n      });\n    }\n\n    // Tool calls must not finalize before the stream ends: a parsable\n    // argument buffer can still be the prefix of a longer argument string,\n    // so acting on it early would use truncated inputs (see #13137).\n    // Finalization happens in flush().\n    return toolCall;\n  }\n\n  private processExistingToolCall(\n    toolCall: TrackedToolCall,\n    toolCallDelta: DELTA,\n  ): void {\n    if (toolCall.hasFinished) {\n      return;\n    }\n\n    if (toolCallDelta.function?.arguments != null) {\n      toolCall.function.arguments += toolCallDelta.function.arguments;\n\n      this.controller.enqueue({\n        type: 'tool-input-delta',\n        id: toolCall.id,\n        delta: toolCallDelta.function.arguments,\n      });\n    }\n  }\n\n  private finishToolCall(toolCall: TrackedToolCall): void {\n    this.controller.enqueue({\n      type: 'tool-input-end',\n      id: toolCall.id,\n    });\n\n    const providerMetadata = this.buildToolCallProviderMetadata?.(\n      toolCall.metadata,\n    );\n\n    this.controller.enqueue({\n      type: 'tool-call',\n      toolCallId: toolCall.id ?? this._generateId(),\n      toolName: toolCall.function.name,\n      input: toolCall.function.arguments,\n      ...(providerMetadata ? { providerMetadata } : {}),\n    });\n\n    toolCall.hasFinished = true;\n  }\n}\n", "/**\n * Strips file extension segments from a filename.\n *\n * Examples:\n * - \"report.pdf\" -> \"report\"\n * - \"archive.tar.gz\" -> \"archive\"\n * - \"filename\" -> \"filename\"\n */\nexport function stripFileExtension(filename: string): string {\n  const firstDotIndex = filename.indexOf('.');\n\n  return firstDotIndex === -1 ? filename : filename.slice(0, firstDotIndex);\n}\n", "import type {\n  Experimental_TranscriptionModelV4StreamPart as TranscriptionModelV4StreamPart,\n  JSONObject,\n} from '@ai-sdk/provider';\nimport { isRecord } from './is-record';\nimport { secureJsonParse } from './secure-json-parse';\n\n/**\n * Experimental transcription-stream WebSocket envelope (v1): the standard\n * serialization of `TranscriptionModelV4.doStream` over a WebSocket. Clients\n * (e.g. the `@ai-sdk/gateway` provider) encode with this module and servers\n * (e.g. AI Gateway) decode with it, so the two sides cannot drift.\n *\n * Envelope rules:\n *\n * 1. The client sends exactly one `transcription-stream.start` TEXT frame\n *    first.\n * 2. Audio rides BINARY frames containing raw bytes in the declared\n *    `inputAudioFormat` (base64 string chunks are decoded before sending).\n * 3. The client signals end of audio with the\n *    `transcription-stream.audio-done` TEXT frame; a plain close without it\n *    is an abort.\n * 4. Every server→client TEXT frame is one JSON-serialized\n *    `TranscriptionModelV4StreamPart` (flattened, no wrapper). Payloads must\n *    be JSON-serializable. `Date` values (`response-metadata.timestamp`)\n *    serialize to ISO 8601 strings and are revived by\n *    `parseTranscriptionStreamPart`. `Error` payloads in `error` parts\n *    serialize as `{ name, message }`.\n * 5. The server closes with code 1000 after the `finish` part; on failure it\n *    sends an `error` part and closes non-1000. A close without a prior\n *    `finish` is an error.\n * 6. Unknown frame/part types are ignored in both directions (forward\n *    compatibility).\n * 7. Servers may enforce a maximum frame size (the AI Gateway rejects frames\n *    over 256 KiB); clients should split audio into frames of at most\n *    64 KiB.\n * 8. Connection establishment (URL, auth) is transport-specific and out of\n *    scope.\n *\n * The envelope validates frame shape only; server policy (accepted audio\n * formats, required `rate`, size limits) layers on top. Both parsers use\n * `secureJsonParse`, so frames carrying `__proto__` / `constructor.prototype`\n * keys are rejected (prototype-pollution protection) rather than parsed.\n */\n\n/** Type of the first client TEXT frame. */\nexport const TRANSCRIPTION_STREAM_START_FRAME_TYPE =\n  'transcription-stream.start';\n\n/** Type of the client TEXT frame that signals the end of the audio input. */\nexport const TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE =\n  'transcription-stream.audio-done';\n\n/**\n * The client's session start frame. Optional keys are omitted when undefined.\n */\nexport type TranscriptionStreamStartFrame = {\n  type: typeof TRANSCRIPTION_STREAM_START_FRAME_TYPE;\n\n  /** Audio format of the binary audio frames, e.g. `{ type: 'audio/pcm', rate: 16000 }`. */\n  inputAudioFormat: {\n    type: string;\n    rate?: number;\n  };\n\n  /** Provider-specific options, passed through verbatim. */\n  providerOptions?: Record<string, JSONObject>;\n\n  /** When true, the server should include `raw` parts in the stream. */\n  includeRawChunks?: boolean;\n};\n\n/** Server-side classification of a client TEXT frame. */\nexport type TranscriptionStreamClientFrame =\n  | {\n      type: 'start';\n      frame: TranscriptionStreamStartFrame;\n    }\n  | {\n      type: 'audio-done';\n    }\n  | {\n      /** Malformed JSON or a recognized frame with an invalid shape. */\n      type: 'invalid';\n      message: string;\n    }\n  | {\n      /** Unrecognized frame type; ignore for forward compatibility. */\n      type: 'unknown';\n    };\n\n/**\n * Server-side: parse a client TEXT frame. Validates envelope shape only and\n * rejects prototype-pollution payloads (parsed with `secureJsonParse`). Never\n * throws.\n */\nexport function parseTranscriptionStreamClientFrame(\n  text: string,\n): TranscriptionStreamClientFrame {\n  let value: unknown;\n  try {\n    value = secureJsonParse(text);\n  } catch {\n    return { type: 'invalid', message: 'malformed JSON' };\n  }\n\n  if (value == null || typeof value !== 'object' || Array.isArray(value)) {\n    return { type: 'invalid', message: 'frame must be a JSON object' };\n  }\n\n  const frame = value as Record<string, unknown>;\n\n  if (typeof frame.type !== 'string') {\n    return { type: 'invalid', message: 'frame type must be a string' };\n  }\n\n  switch (frame.type) {\n    case TRANSCRIPTION_STREAM_START_FRAME_TYPE: {\n      const inputAudioFormat = frame.inputAudioFormat as\n        | Record<string, unknown>\n        | null\n        | undefined;\n      if (\n        inputAudioFormat == null ||\n        typeof inputAudioFormat !== 'object' ||\n        Array.isArray(inputAudioFormat) ||\n        typeof inputAudioFormat.type !== 'string'\n      ) {\n        return {\n          type: 'invalid',\n          message:\n            'start frame must have an inputAudioFormat object with a string type',\n        };\n      }\n      if (\n        inputAudioFormat.rate !== undefined &&\n        typeof inputAudioFormat.rate !== 'number'\n      ) {\n        return {\n          type: 'invalid',\n          message: 'inputAudioFormat.rate must be a number when present',\n        };\n      }\n      if (\n        frame.providerOptions !== undefined &&\n        (frame.providerOptions == null ||\n          typeof frame.providerOptions !== 'object' ||\n          Array.isArray(frame.providerOptions))\n      ) {\n        return {\n          type: 'invalid',\n          message: 'providerOptions must be an object when present',\n        };\n      }\n      if (\n        frame.includeRawChunks !== undefined &&\n        typeof frame.includeRawChunks !== 'boolean'\n      ) {\n        return {\n          type: 'invalid',\n          message: 'includeRawChunks must be a boolean when present',\n        };\n      }\n      return {\n        type: 'start',\n        frame: frame as TranscriptionStreamStartFrame,\n      };\n    }\n\n    case TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE:\n      return { type: 'audio-done' };\n\n    default:\n      return { type: 'unknown' };\n  }\n}\n\n/**\n * Server-side: serialize a transcription stream part as one TEXT frame.\n * `Error` payloads in `error` parts serialize as `{ name, message }` —\n * `Error` properties are non-enumerable, so a plain `JSON.stringify` would\n * serialize them to `{}` and lose the message end-to-end. Returns\n * `undefined` for payloads that are not JSON-serializable (envelope rule 4,\n * e.g. bigint or cyclic values); callers drop the frame.\n */\nexport function serializeTranscriptionStreamPart(\n  part: TranscriptionModelV4StreamPart,\n): string | undefined {\n  try {\n    if (part.type === 'error' && isError(part.error)) {\n      return JSON.stringify({\n        ...part,\n        error: { name: part.error.name, message: part.error.message },\n      });\n    }\n    return JSON.stringify(part);\n  } catch {\n    return undefined;\n  }\n}\n\n// `instanceof` misses cross-realm Errors; the brand check does not.\nfunction isError(value: unknown): value is Error {\n  return (\n    value instanceof Error ||\n    Object.prototype.toString.call(value) === '[object Error]'\n  );\n}\n\n/**\n * Client-side: parse a server TEXT frame into a transcription stream part.\n * Returns `undefined` for malformed or unsafe (prototype-polluting) JSON\n * (parsed with `secureJsonParse`), unknown part types, and known part types\n * whose required or optional fields are missing or mistyped (including\n * warning and segment elements) — downstream SDK code dereferences those\n * fields, so a drifted server must not crash or pollute the stream.\n * Revives `response-metadata.timestamp` to a `Date`.\n */\nexport function parseTranscriptionStreamPart(\n  text: string,\n): TranscriptionModelV4StreamPart | undefined {\n  let value: unknown;\n  try {\n    value = secureJsonParse(text);\n  } catch {\n    return undefined;\n  }\n\n  if (value == null || typeof value !== 'object' || Array.isArray(value)) {\n    return undefined;\n  }\n\n  const part = value as TranscriptionModelV4StreamPart;\n\n  switch (part.type) {\n    case 'stream-start':\n      return Array.isArray(part.warnings) && part.warnings.every(isWarning)\n        ? part\n        : undefined;\n\n    case 'transcript-delta':\n      return isString(part.delta) &&\n        isOptional(part.id, isString) &&\n        isOptional(part.providerMetadata, isRecord)\n        ? part\n        : undefined;\n\n    case 'transcript-partial':\n      return isString(part.text) &&\n        isOptional(part.id, isString) &&\n        isOptional(part.startSecond, isNumber) &&\n        isOptional(part.durationInSeconds, isNumber) &&\n        isOptional(part.channelIndex, isNumber) &&\n        isOptional(part.providerMetadata, isRecord)\n        ? part\n        : undefined;\n\n    case 'transcript-final':\n      return isString(part.text) &&\n        isOptional(part.id, isString) &&\n        isOptional(part.startSecond, isNumber) &&\n        isOptional(part.endSecond, isNumber) &&\n        isOptional(part.channelIndex, isNumber) &&\n        isOptional(part.providerMetadata, isRecord)\n        ? part\n        : undefined;\n\n    case 'finish':\n      return isString(part.text) &&\n        Array.isArray(part.segments) &&\n        part.segments.every(isSegment) &&\n        isOptional(part.language, isString) &&\n        isOptional(part.durationInSeconds, isNumber) &&\n        isOptional(part.providerMetadata, isRecord)\n        ? part\n        : undefined;\n\n    case 'response-metadata': {\n      if (\n        !(\n          isOptional(part.modelId, isString) &&\n          isOptional(part.headers, isRecord)\n        )\n      ) {\n        return undefined;\n      }\n      // Envelope rule 4: timestamps ride as ISO 8601 strings.\n      const timestamp: unknown = part.timestamp;\n      if (timestamp == null) {\n        return { ...part, timestamp: undefined };\n      }\n      if (typeof timestamp !== 'string') {\n        return undefined;\n      }\n      const revived = new Date(timestamp);\n      return Number.isNaN(revived.getTime())\n        ? undefined\n        : { ...part, timestamp: revived };\n    }\n\n    case 'raw':\n      return 'rawValue' in part ? part : undefined;\n\n    case 'error':\n      return 'error' in part ? part : undefined;\n\n    default:\n      return undefined;\n  }\n}\n\nfunction isString(value: unknown): value is string {\n  return typeof value === 'string';\n}\n\nfunction isNumber(value: unknown): value is number {\n  return typeof value === 'number';\n}\n\nfunction isOptional(\n  value: unknown,\n  check: (value: unknown) => boolean,\n): boolean {\n  return value === undefined || check(value);\n}\n\nfunction isWarning(value: unknown): boolean {\n  return isRecord(value) && isString(value.type);\n}\n\nfunction isSegment(value: unknown): boolean {\n  return (\n    isRecord(value) &&\n    isString(value.text) &&\n    isNumber(value.startSecond) &&\n    isNumber(value.endSecond)\n  );\n}\n", "import { InvalidArgumentError } from '@ai-sdk/provider';\n\nexport function validateBaseURL(baseURL: string | undefined) {\n  if (baseURL?.trim() === '') {\n    throw new InvalidArgumentError({\n      argument: 'baseURL',\n      message: 'baseURL must be a non-empty string.',\n    });\n  }\n\n  return baseURL;\n}\n", "export function withoutTrailingSlash(url: string | undefined) {\n  return url?.replace(/\\/$/, '');\n}\n", "import type { Tool } from './tool';\n\n/**\n * A tool that is guaranteed to expose an execute function.\n */\nexport type ExecutableTool<TOOL extends Tool = Tool> = TOOL & {\n  execute: NonNullable<TOOL['execute']>;\n};\n\n/**\n * Checks whether a tool exposes an execute function.\n */\nexport function isExecutableTool<TOOL extends Tool>(\n  tool: TOOL | undefined,\n): tool is ExecutableTool<TOOL> {\n  return tool != null && typeof tool.execute === 'function';\n}\n", "export function isAsyncIterable<T = any>(obj: any): obj is AsyncIterable<T> {\n  return obj != null && typeof obj[Symbol.asyncIterator] === 'function';\n}\n", "import { isAsyncIterable } from '../is-async-iterable';\nimport type { ExecutableTool } from './executable-tool';\nimport type { InferToolContext } from './infer-tool-context';\nimport type { InferToolInput } from './infer-tool-input';\nimport type { InferToolOutput } from './infer-tool-output';\nimport type { Tool } from './tool';\nimport type { ToolExecutionOptions } from './tool-execute-function';\n\n/**\n * Executes a tool function and normalizes its results into a stream of outputs.\n *\n * - If the tool's `execute` function returns an `AsyncIterable`, each yielded value is emitted as\n *   `{ type: \"preliminary\", output }`. After iteration completes, the last yielded value is emitted\n *   again as `{ type: \"final\", output }`.\n * - If the tool returns a direct value or Promise, a single `{ type: \"final\", output }` is yielded.\n *\n * @param params.tool The tool whose `execute` function should be invoked.\n * @param params.input The input value to pass to the tool.\n * @param params.options Additional options for tool execution.\n * @yields A preliminary output for each streamed value, followed by a final output, or a single final\n * output for non-streaming tools.\n */\nexport async function* executeTool<TOOL extends Tool>({\n  tool,\n  input,\n  options,\n}: {\n  tool: ExecutableTool<TOOL>;\n  input: InferToolInput<TOOL>;\n  options: ToolExecutionOptions<InferToolContext<TOOL>>;\n}): AsyncGenerator<\n  | { type: 'preliminary'; output: InferToolOutput<TOOL> }\n  | { type: 'final'; output: InferToolOutput<TOOL> }\n> {\n  const result = tool.execute(input, options);\n\n  if (isAsyncIterable(result)) {\n    let lastOutput: InferToolOutput<TOOL> | undefined;\n    for await (const output of result) {\n      lastOutput = output;\n      yield { type: 'preliminary', output };\n    }\n    yield { type: 'final', output: lastOutput! };\n  } else {\n    yield { type: 'final', output: await result };\n  }\n}\n", "import type { ProviderOptions } from './provider-options';\nimport type { Tool } from './tool';\nimport type { ToolSet } from './tool-set';\n\nexport type ToolCallerDefinition =\n  | {\n      type: 'local';\n      bind: (tools: ToolSet) => Tool;\n    }\n  | {\n      type: 'provider';\n      prepareProviderOptions: (\n        providerOptions: ProviderOptions | undefined,\n      ) => ProviderOptions;\n    };\n\nexport type ToolCallerTool<TOOL extends Tool = Tool> = TOOL & {\n  readonly experimental_toolCaller: ToolCallerDefinition;\n};\n\nexport function toolCaller<TOOL extends Tool>(\n  tool: TOOL,\n  definition: ToolCallerDefinition,\n): ToolCallerTool<TOOL> {\n  return Object.defineProperty({ ...tool }, 'experimental_toolCaller', {\n    value: definition,\n  }) as ToolCallerTool<TOOL>;\n}\n\nexport function getToolCaller(\n  tool: Tool | undefined,\n): ToolCallerDefinition | undefined {\n  return (tool as ToolCallerTool | undefined)?.experimental_toolCaller;\n}\n", "export { asArray } from './as-array';\nexport type { Arrayable } from './as-array';\nexport * from './combine-headers';\nexport {\n  connectToWebSocket,\n  type WebSocketConnection,\n} from './connect-to-websocket';\nexport { convertAsyncIteratorToReadableStream } from './convert-async-iterator-to-readable-stream';\nexport { convertInlineFileDataToUint8Array } from './convert-inline-file-data-to-uint8-array';\nexport { convertImageModelFileToDataUri } from './convert-image-model-file-to-data-uri';\nexport { convertToFormData } from './convert-to-form-data';\nexport { createLanguageModelResponseMetadata } from './create-language-model-response-metadata';\nexport { createNullLanguageModelUsage } from './create-null-language-model-usage';\nexport {\n  createToolNameMapping,\n  type ToolNameMapping,\n} from './create-tool-name-mapping';\nexport * from './delay';\nexport { DelayedPromise } from './delayed-promise';\nexport {\n  detectMediaType,\n  getTopLevelMediaType,\n  isFullMediaType,\n} from './detect-media-type';\nexport { downloadBlob } from './download-blob';\nexport { DownloadError } from './download-error';\nexport { fetchWithValidatedRedirects } from './fetch-with-validated-redirects';\nexport { extractLines } from './extract-lines';\nexport * from './extract-response-headers';\nexport * from './fetch-function';\nexport { filterNullable } from './filter-nullable';\nexport { createIdGenerator, generateId, type IdGenerator } from './generate-id';\nexport * from './get-error-message';\nexport * from './get-from-api';\nexport { getRuntimeEnvironmentUserAgent } from './get-runtime-environment-user-agent';\nexport type { HasRequiredKey } from './has-required-key';\nexport { injectJsonInstructionIntoMessages } from './inject-json-instruction';\nexport * from './is-abort-error';\nexport { isBrowserRuntime } from './is-browser-runtime';\nexport { isBuffer } from './is-buffer';\nexport { isSameOrigin } from './is-same-origin';\nexport { isNonNullable } from './is-non-nullable';\nexport { isProviderReference } from './is-provider-reference';\nexport { isRecord } from './is-record';\nexport { isUrlSupported } from './is-url-supported';\nexport * from './load-api-key';\nexport { loadOptionalSetting } from './load-optional-setting';\nexport { loadSetting } from './load-setting';\nexport {\n  isCustomReasoning,\n  mapReasoningToProviderBudget,\n  mapReasoningToProviderEffort,\n} from './map-reasoning-to-provider';\nexport { type MaybePromiseLike } from './maybe-promise-like';\nexport { mediaTypeToExtension } from './media-type-to-extension';\nexport { normalizeHeaders } from './normalize-headers';\nexport * from './parse-json';\nexport { parseJsonEventStream } from './parse-json-event-stream';\nexport { parseProviderOptions } from './parse-provider-options';\nexport * from './post-to-api';\nexport {\n  createProviderDefinedToolFactory,\n  createProviderDefinedToolFactoryWithOutputSchema,\n  type ProviderDefinedToolFactory,\n  type ProviderDefinedToolFactoryWithOutputSchema,\n} from './provider-defined-tool-factory';\nexport {\n  createProviderExecutedToolFactory,\n  type ProviderExecutedToolFactory,\n} from './provider-executed-tool-factory';\nexport { cancelResponseBody } from './cancel-response-body';\nexport {\n  DEFAULT_MAX_DOWNLOAD_SIZE,\n  readResponseWithSizeLimit,\n} from './read-response-with-size-limit';\nexport * from './remove-undefined-entries';\nexport * from './resolve';\nexport { resolveFullMediaType } from './resolve-full-media-type';\nexport { resolveProviderReference } from './resolve-provider-reference';\nexport * from './retry-with-exponential-backoff';\nexport * from './response-handler';\nexport {\n  asSchema,\n  jsonSchema,\n  lazySchema,\n  zodSchema,\n  type FlexibleSchema,\n  type InferSchema,\n  type LazySchema,\n  type Schema,\n  type ValidationResult,\n} from './schema';\nexport { serializeModelOptions } from './serialize-model-options';\nexport { SerializationError } from './serialization-error';\nexport { secureJsonParse } from './secure-json-parse';\nexport {\n  StreamingToolCallTracker,\n  type StreamingToolCallDelta,\n  type StreamingToolCallTrackerOptions,\n} from './streaming-tool-call-tracker';\nexport { stripFileExtension } from './strip-file-extension';\nexport {\n  TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE as EXPERIMENTAL_TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE,\n  TRANSCRIPTION_STREAM_START_FRAME_TYPE as EXPERIMENTAL_TRANSCRIPTION_STREAM_START_FRAME_TYPE,\n  parseTranscriptionStreamClientFrame as experimental_parseTranscriptionStreamClientFrame,\n  parseTranscriptionStreamPart as experimental_parseTranscriptionStreamPart,\n  serializeTranscriptionStreamPart as experimental_serializeTranscriptionStreamPart,\n  type TranscriptionStreamClientFrame as Experimental_TranscriptionStreamClientFrame,\n  type TranscriptionStreamStartFrame as Experimental_TranscriptionStreamStartFrame,\n} from './transcription-stream-envelope';\nexport * from './uint8-utils';\nexport { validateBaseURL } from './validate-base-url';\nexport { validateDownloadUrl } from './validate-download-url';\nexport * from './validate-types';\nexport { VERSION } from './version';\nexport {\n  getWebSocketConstructor,\n  readWebSocketMessageText,\n  toWebSocketUrl,\n  waitForWebSocketBufferDrain,\n  type WebSocketConstructor,\n  type WebSocketLike,\n} from './websocket';\nexport { withUserAgentSuffix } from './with-user-agent-suffix';\nexport * from './without-trailing-slash';\n\n// folder re-exports\nexport * from './types';\n\n// external re-exports\nexport type * from '@standard-schema/spec';\nexport { WORKFLOW_DESERIALIZE, WORKFLOW_SERIALIZE } from '@workflow/serde';\nexport {\n  EventSourceParserStream,\n  type EventSourceMessage,\n} from 'eventsource-parser/stream';\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar get_context_exports = {};\n__export(get_context_exports, {\n  SYMBOL_FOR_REQ_CONTEXT: () => SYMBOL_FOR_REQ_CONTEXT,\n  getContext: () => getContext\n});\nmodule.exports = __toCommonJS(get_context_exports);\nconst SYMBOL_FOR_REQ_CONTEXT = Symbol.for(\"@vercel/request-context\");\nfunction getContext() {\n  const fromSymbol = globalThis;\n  return fromSymbol[SYMBOL_FOR_REQ_CONTEXT]?.get?.() ?? {};\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  SYMBOL_FOR_REQ_CONTEXT,\n  getContext\n});\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar token_error_exports = {};\n__export(token_error_exports, {\n  VercelOidcTokenError: () => VercelOidcTokenError\n});\nmodule.exports = __toCommonJS(token_error_exports);\nclass VercelOidcTokenError extends Error {\n  constructor(message, cause) {\n    super(message);\n    this.name = \"VercelOidcTokenError\";\n    this.cause = cause;\n  }\n  toString() {\n    if (this.cause) {\n      return `${this.name}: ${this.message}: ${this.cause}`;\n    }\n    return `${this.name}: ${this.message}`;\n  }\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  VercelOidcTokenError\n});\n", "\"use strict\";\nvar __create = Object.create;\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __getProtoOf = Object.getPrototypeOf;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(\n  // If the importer is in node compatibility mode or this is not an ESM\n  // file that has been converted to a CommonJS file using a Babel-\n  // compatible transform (i.e. \"__esModule\" has not been set), then set\n  // \"default\" to the CommonJS \"module.exports\" for node compatibility.\n  isNodeMode || !mod || !mod.__esModule ? __defProp(target, \"default\", { value: mod, enumerable: true }) : target,\n  mod\n));\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar token_io_exports = {};\n__export(token_io_exports, {\n  findRootDir: () => findRootDir,\n  getUserDataDir: () => getUserDataDir\n});\nmodule.exports = __toCommonJS(token_io_exports);\nvar import_path = __toESM(require(\"path\"));\nvar import_fs = __toESM(require(\"fs\"));\nvar import_os = __toESM(require(\"os\"));\nvar import_token_error = require(\"./token-error\");\nfunction findRootDir() {\n  try {\n    let dir = process.cwd();\n    while (dir !== import_path.default.dirname(dir)) {\n      const pkgPath = import_path.default.join(dir, \".vercel\");\n      if (import_fs.default.existsSync(pkgPath)) {\n        return dir;\n      }\n      dir = import_path.default.dirname(dir);\n    }\n  } catch (e) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Token refresh only supported in node server environments\"\n    );\n  }\n  return null;\n}\nfunction getUserDataDir() {\n  if (process.env.XDG_DATA_HOME) {\n    return process.env.XDG_DATA_HOME;\n  }\n  switch (import_os.default.platform()) {\n    case \"darwin\":\n      return import_path.default.join(import_os.default.homedir(), \"Library/Application Support\");\n    case \"linux\":\n      return import_path.default.join(import_os.default.homedir(), \".local/share\");\n    case \"win32\":\n      if (process.env.LOCALAPPDATA) {\n        return process.env.LOCALAPPDATA;\n      }\n      return null;\n    default:\n      return null;\n  }\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  findRootDir,\n  getUserDataDir\n});\n", "\"use strict\";\nvar __create = Object.create;\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __getProtoOf = Object.getPrototypeOf;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(\n  // If the importer is in node compatibility mode or this is not an ESM\n  // file that has been converted to a CommonJS file using a Babel-\n  // compatible transform (i.e. \"__esModule\" has not been set), then set\n  // \"default\" to the CommonJS \"module.exports\" for node compatibility.\n  isNodeMode || !mod || !mod.__esModule ? __defProp(target, \"default\", { value: mod, enumerable: true }) : target,\n  mod\n));\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar auth_config_exports = {};\n__export(auth_config_exports, {\n  isValidAccessToken: () => isValidAccessToken,\n  readAuthConfig: () => readAuthConfig,\n  writeAuthConfig: () => writeAuthConfig\n});\nmodule.exports = __toCommonJS(auth_config_exports);\nvar fs = __toESM(require(\"fs\"));\nvar path = __toESM(require(\"path\"));\nvar import_token_util = require(\"./token-util\");\nfunction getAuthConfigPath() {\n  const dataDir = (0, import_token_util.getVercelDataDir)();\n  if (!dataDir) {\n    throw new Error(\n      `Unable to find Vercel CLI data directory. Your platform: ${process.platform}. Supported: darwin, linux, win32.`\n    );\n  }\n  return path.join(dataDir, \"auth.json\");\n}\nfunction readAuthConfig() {\n  try {\n    const authPath = getAuthConfigPath();\n    if (!fs.existsSync(authPath)) {\n      return null;\n    }\n    const content = fs.readFileSync(authPath, \"utf8\");\n    if (!content) {\n      return null;\n    }\n    return JSON.parse(content);\n  } catch (error) {\n    return null;\n  }\n}\nfunction writeAuthConfig(config) {\n  const authPath = getAuthConfigPath();\n  const authDir = path.dirname(authPath);\n  if (!fs.existsSync(authDir)) {\n    fs.mkdirSync(authDir, { mode: 504, recursive: true });\n  }\n  fs.writeFileSync(authPath, JSON.stringify(config, null, 2), { mode: 384 });\n}\nfunction isValidAccessToken(authConfig, expirationBufferMs = 0) {\n  if (!authConfig.token)\n    return false;\n  if (typeof authConfig.expiresAt !== \"number\")\n    return true;\n  const nowInSeconds = Math.floor(Date.now() / 1e3);\n  const bufferInSeconds = expirationBufferMs / 1e3;\n  return authConfig.expiresAt >= nowInSeconds + bufferInSeconds;\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  isValidAccessToken,\n  readAuthConfig,\n  writeAuthConfig\n});\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar oauth_exports = {};\n__export(oauth_exports, {\n  processTokenResponse: () => processTokenResponse,\n  refreshTokenRequest: () => refreshTokenRequest\n});\nmodule.exports = __toCommonJS(oauth_exports);\nvar import_os = require(\"os\");\nconst VERCEL_ISSUER = \"https://vercel.com\";\nconst VERCEL_CLI_CLIENT_ID = \"cl_HYyOPBNtFMfHhaUn9L4QPfTZz6TP47bp\";\nconst userAgent = `@vercel/oidc node-${process.version} ${(0, import_os.platform)()} (${(0, import_os.arch)()}) ${(0, import_os.hostname)()}`;\nlet _tokenEndpoint = null;\nasync function getTokenEndpoint() {\n  if (_tokenEndpoint) {\n    return _tokenEndpoint;\n  }\n  const discoveryUrl = `${VERCEL_ISSUER}/.well-known/openid-configuration`;\n  const response = await fetch(discoveryUrl, {\n    headers: { \"user-agent\": userAgent }\n  });\n  if (!response.ok) {\n    throw new Error(\"Failed to discover OAuth endpoints\");\n  }\n  const metadata = await response.json();\n  if (!metadata || typeof metadata.token_endpoint !== \"string\") {\n    throw new Error(\"Invalid OAuth discovery response\");\n  }\n  const endpoint = metadata.token_endpoint;\n  _tokenEndpoint = endpoint;\n  return endpoint;\n}\nasync function refreshTokenRequest(options) {\n  const tokenEndpoint = await getTokenEndpoint();\n  return await fetch(tokenEndpoint, {\n    method: \"POST\",\n    headers: {\n      \"Content-Type\": \"application/x-www-form-urlencoded\",\n      \"user-agent\": userAgent\n    },\n    body: new URLSearchParams({\n      client_id: VERCEL_CLI_CLIENT_ID,\n      grant_type: \"refresh_token\",\n      ...options\n    })\n  });\n}\nasync function processTokenResponse(response) {\n  const json = await response.json();\n  if (!response.ok) {\n    const errorMsg = typeof json === \"object\" && json && \"error\" in json ? String(json.error) : \"Token refresh failed\";\n    return [new Error(errorMsg)];\n  }\n  if (typeof json !== \"object\" || json === null) {\n    return [new Error(\"Invalid token response\")];\n  }\n  if (typeof json.access_token !== \"string\") {\n    return [new Error(\"Missing access_token in response\")];\n  }\n  if (json.token_type !== \"Bearer\") {\n    return [new Error(\"Invalid token_type in response\")];\n  }\n  if (typeof json.expires_in !== \"number\") {\n    return [new Error(\"Missing expires_in in response\")];\n  }\n  return [null, json];\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  processTokenResponse,\n  refreshTokenRequest\n});\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar auth_errors_exports = {};\n__export(auth_errors_exports, {\n  AccessTokenMissingError: () => AccessTokenMissingError,\n  RefreshAccessTokenFailedError: () => RefreshAccessTokenFailedError\n});\nmodule.exports = __toCommonJS(auth_errors_exports);\nclass AccessTokenMissingError extends Error {\n  constructor() {\n    super(\n      \"No authentication found. Please log in with the Vercel CLI (vercel login).\"\n    );\n    this.name = \"AccessTokenMissingError\";\n  }\n}\nclass RefreshAccessTokenFailedError extends Error {\n  constructor(cause) {\n    super(\"Failed to refresh authentication token.\", { cause });\n    this.name = \"RefreshAccessTokenFailedError\";\n  }\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  AccessTokenMissingError,\n  RefreshAccessTokenFailedError\n});\n", "\"use strict\";\nvar __create = Object.create;\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __getProtoOf = Object.getPrototypeOf;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(\n  // If the importer is in node compatibility mode or this is not an ESM\n  // file that has been converted to a CommonJS file using a Babel-\n  // compatible transform (i.e. \"__esModule\" has not been set), then set\n  // \"default\" to the CommonJS \"module.exports\" for node compatibility.\n  isNodeMode || !mod || !mod.__esModule ? __defProp(target, \"default\", { value: mod, enumerable: true }) : target,\n  mod\n));\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar token_util_exports = {};\n__export(token_util_exports, {\n  assertVercelOidcTokenResponse: () => assertVercelOidcTokenResponse,\n  findProjectInfo: () => findProjectInfo,\n  getTokenPayload: () => getTokenPayload,\n  getVercelDataDir: () => getVercelDataDir,\n  getVercelOidcToken: () => getVercelOidcToken,\n  getVercelToken: () => getVercelToken,\n  isExpired: () => isExpired,\n  loadToken: () => loadToken,\n  saveToken: () => saveToken\n});\nmodule.exports = __toCommonJS(token_util_exports);\nvar path = __toESM(require(\"path\"));\nvar fs = __toESM(require(\"fs\"));\nvar import_token_error = require(\"./token-error\");\nvar import_token_io = require(\"./token-io\");\nvar import_auth_config = require(\"./auth-config\");\nvar import_oauth = require(\"./oauth\");\nvar import_auth_errors = require(\"./auth-errors\");\nfunction getVercelDataDir() {\n  const vercelFolder = \"com.vercel.cli\";\n  const dataDir = (0, import_token_io.getUserDataDir)();\n  if (!dataDir) {\n    return null;\n  }\n  return path.join(dataDir, vercelFolder);\n}\nasync function getVercelToken(options) {\n  const authConfig = (0, import_auth_config.readAuthConfig)();\n  if (!authConfig?.token) {\n    throw new import_auth_errors.AccessTokenMissingError();\n  }\n  if ((0, import_auth_config.isValidAccessToken)(authConfig, options?.expirationBufferMs)) {\n    return authConfig.token;\n  }\n  if (!authConfig.refreshToken) {\n    (0, import_auth_config.writeAuthConfig)({});\n    throw new import_auth_errors.RefreshAccessTokenFailedError(\"No refresh token available\");\n  }\n  try {\n    const tokenResponse = await (0, import_oauth.refreshTokenRequest)({\n      refresh_token: authConfig.refreshToken\n    });\n    const [tokensError, tokens] = await (0, import_oauth.processTokenResponse)(tokenResponse);\n    if (tokensError || !tokens) {\n      (0, import_auth_config.writeAuthConfig)({});\n      throw new import_auth_errors.RefreshAccessTokenFailedError(tokensError);\n    }\n    const updatedConfig = {\n      token: tokens.access_token,\n      expiresAt: Math.floor(Date.now() / 1e3) + tokens.expires_in\n    };\n    if (tokens.refresh_token) {\n      updatedConfig.refreshToken = tokens.refresh_token;\n    }\n    (0, import_auth_config.writeAuthConfig)(updatedConfig);\n    return updatedConfig.token;\n  } catch (error) {\n    (0, import_auth_config.writeAuthConfig)({});\n    if (error instanceof import_auth_errors.AccessTokenMissingError || error instanceof import_auth_errors.RefreshAccessTokenFailedError) {\n      throw error;\n    }\n    throw new import_auth_errors.RefreshAccessTokenFailedError(error);\n  }\n}\nasync function getVercelOidcToken(authToken, projectId, teamId) {\n  const url = `https://api.vercel.com/v1/projects/${projectId}/token?source=vercel-oidc-refresh${teamId ? `&teamId=${teamId}` : \"\"}`;\n  const res = await fetch(url, {\n    method: \"POST\",\n    headers: {\n      Authorization: `Bearer ${authToken}`\n    }\n  });\n  if (!res.ok) {\n    throw new import_token_error.VercelOidcTokenError(\n      `Failed to refresh OIDC token: ${res.statusText}`\n    );\n  }\n  const tokenRes = await res.json();\n  assertVercelOidcTokenResponse(tokenRes);\n  return tokenRes;\n}\nfunction assertVercelOidcTokenResponse(res) {\n  if (!res || typeof res !== \"object\") {\n    throw new TypeError(\n      \"Vercel OIDC token is malformed. Expected an object. Please run `vc env pull` and try again\"\n    );\n  }\n  if (!(\"token\" in res) || typeof res.token !== \"string\") {\n    throw new TypeError(\n      \"Vercel OIDC token is malformed. Expected a string-valued token property. Please run `vc env pull` and try again\"\n    );\n  }\n}\nfunction findProjectInfo() {\n  const dir = (0, import_token_io.findRootDir)();\n  if (!dir) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Unable to find project root directory. Have you linked your project with `vc link?`\"\n    );\n  }\n  const prjPath = path.join(dir, \".vercel\", \"project.json\");\n  if (!fs.existsSync(prjPath)) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"project.json not found, have you linked your project with `vc link?`\"\n    );\n  }\n  const prj = JSON.parse(fs.readFileSync(prjPath, \"utf8\"));\n  if (typeof prj.projectId !== \"string\" && typeof prj.orgId !== \"string\") {\n    throw new TypeError(\n      \"Expected a string-valued projectId property. Try running `vc link` to re-link your project.\"\n    );\n  }\n  return { projectId: prj.projectId, teamId: prj.orgId };\n}\nfunction saveToken(token, projectId) {\n  const dir = (0, import_token_io.getUserDataDir)();\n  if (!dir) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Unable to find user data directory. Please reach out to Vercel support.\"\n    );\n  }\n  const tokenPath = path.join(dir, \"com.vercel.token\", `${projectId}.json`);\n  const tokenJson = JSON.stringify(token);\n  fs.mkdirSync(path.dirname(tokenPath), { mode: 504, recursive: true });\n  fs.writeFileSync(tokenPath, tokenJson);\n  fs.chmodSync(tokenPath, 432);\n  return;\n}\nfunction loadToken(projectId) {\n  const dir = (0, import_token_io.getUserDataDir)();\n  if (!dir) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Unable to find user data directory. Please reach out to Vercel support.\"\n    );\n  }\n  const tokenPath = path.join(dir, \"com.vercel.token\", `${projectId}.json`);\n  if (!fs.existsSync(tokenPath)) {\n    return null;\n  }\n  const token = JSON.parse(fs.readFileSync(tokenPath, \"utf8\"));\n  assertVercelOidcTokenResponse(token);\n  return token;\n}\nfunction getTokenPayload(token) {\n  const tokenParts = token.split(\".\");\n  if (tokenParts.length !== 3) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Invalid token. Please run `vc env pull` and try again\"\n    );\n  }\n  const base64 = tokenParts[1].replace(/-/g, \"+\").replace(/_/g, \"/\");\n  const padded = base64.padEnd(\n    base64.length + (4 - base64.length % 4) % 4,\n    \"=\"\n  );\n  return JSON.parse(Buffer.from(padded, \"base64\").toString(\"utf8\"));\n}\nfunction isExpired(token, bufferMs = 0) {\n  return token.exp * 1e3 < Date.now() + bufferMs;\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  assertVercelOidcTokenResponse,\n  findProjectInfo,\n  getTokenPayload,\n  getVercelDataDir,\n  getVercelOidcToken,\n  getVercelToken,\n  isExpired,\n  loadToken,\n  saveToken\n});\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar token_exports = {};\n__export(token_exports, {\n  refreshToken: () => refreshToken\n});\nmodule.exports = __toCommonJS(token_exports);\nvar import_token_error = require(\"./token-error\");\nvar import_token_util = require(\"./token-util\");\nasync function refreshToken(options) {\n  let projectId = options?.project;\n  let teamId = options?.team;\n  if (!projectId && !teamId) {\n    const projectInfo = (0, import_token_util.findProjectInfo)();\n    projectId = projectInfo.projectId;\n    teamId = projectInfo.teamId;\n  } else if (!projectId || !teamId) {\n    const projectInfo = (0, import_token_util.findProjectInfo)();\n    projectId = projectId ?? projectInfo.projectId;\n    teamId = teamId ?? projectInfo.teamId;\n  }\n  if (!projectId) {\n    throw new import_token_error.VercelOidcTokenError(\n      \"Failed to refresh OIDC token: No project specified. Try re-linking your project with `vc link`\"\n    );\n  }\n  let maybeToken = (0, import_token_util.loadToken)(projectId);\n  if (!maybeToken || (0, import_token_util.isExpired)((0, import_token_util.getTokenPayload)(maybeToken.token), options?.expirationBufferMs)) {\n    const authToken = await (0, import_token_util.getVercelToken)({\n      expirationBufferMs: options?.expirationBufferMs\n    });\n    maybeToken = await (0, import_token_util.getVercelOidcToken)(authToken, projectId, teamId);\n    if (!maybeToken) {\n      throw new import_token_error.VercelOidcTokenError(\"Failed to refresh OIDC token\");\n    }\n    (0, import_token_util.saveToken)(maybeToken, projectId);\n  }\n  process.env.VERCEL_OIDC_TOKEN = maybeToken.token;\n  return;\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  refreshToken\n});\n", "\"use strict\";\nvar __create = Object.create;\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __getProtoOf = Object.getPrototypeOf;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(\n  // If the importer is in node compatibility mode or this is not an ESM\n  // file that has been converted to a CommonJS file using a Babel-\n  // compatible transform (i.e. \"__esModule\" has not been set), then set\n  // \"default\" to the CommonJS \"module.exports\" for node compatibility.\n  isNodeMode || !mod || !mod.__esModule ? __defProp(target, \"default\", { value: mod, enumerable: true }) : target,\n  mod\n));\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar get_vercel_oidc_token_exports = {};\n__export(get_vercel_oidc_token_exports, {\n  getVercelOidcToken: () => getVercelOidcToken,\n  getVercelOidcTokenSync: () => getVercelOidcTokenSync\n});\nmodule.exports = __toCommonJS(get_vercel_oidc_token_exports);\nvar import_get_context = require(\"./get-context\");\nvar import_token_error = require(\"./token-error\");\nasync function getVercelOidcToken(options) {\n  let token = \"\";\n  let err;\n  try {\n    token = getVercelOidcTokenSync();\n  } catch (error) {\n    err = error;\n  }\n  try {\n    const [{ getTokenPayload, isExpired }, { refreshToken }] = await Promise.all([\n      await import(\"./token-util.js\"),\n      await import(\"./token.js\")\n    ]);\n    if (!token || isExpired(getTokenPayload(token), options?.expirationBufferMs)) {\n      await refreshToken(options);\n      token = getVercelOidcTokenSync();\n    }\n  } catch (error) {\n    let message = err instanceof Error ? err.message : \"\";\n    if (error instanceof Error) {\n      message = `${message}\n${error.message}`;\n    }\n    if (message) {\n      throw new import_token_error.VercelOidcTokenError(message);\n    }\n    throw error;\n  }\n  return token;\n}\nfunction getVercelOidcTokenSync() {\n  const token = (0, import_get_context.getContext)().headers?.[\"x-vercel-oidc-token\"] ?? process.env.VERCEL_OIDC_TOKEN;\n  if (!token) {\n    throw new Error(\n      `The 'x-vercel-oidc-token' header is missing from the request. Do you have the OIDC option enabled in the Vercel project settings?`\n    );\n  }\n  return token;\n}\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  getVercelOidcToken,\n  getVercelOidcTokenSync\n});\n", "\"use strict\";\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __export = (target, all) => {\n  for (var name in all)\n    __defProp(target, name, { get: all[name], enumerable: true });\n};\nvar __copyProps = (to, from, except, desc) => {\n  if (from && typeof from === \"object\" || typeof from === \"function\") {\n    for (let key of __getOwnPropNames(from))\n      if (!__hasOwnProp.call(to, key) && key !== except)\n        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });\n  }\n  return to;\n};\nvar __toCommonJS = (mod) => __copyProps(__defProp({}, \"__esModule\", { value: true }), mod);\nvar src_exports = {};\n__export(src_exports, {\n  AccessTokenMissingError: () => import_auth_errors.AccessTokenMissingError,\n  RefreshAccessTokenFailedError: () => import_auth_errors.RefreshAccessTokenFailedError,\n  getContext: () => import_get_context.getContext,\n  getVercelOidcToken: () => import_get_vercel_oidc_token.getVercelOidcToken,\n  getVercelOidcTokenSync: () => import_get_vercel_oidc_token.getVercelOidcTokenSync,\n  getVercelToken: () => import_token_util.getVercelToken\n});\nmodule.exports = __toCommonJS(src_exports);\nvar import_get_vercel_oidc_token = require(\"./get-vercel-oidc-token\");\nvar import_get_context = require(\"./get-context\");\nvar import_auth_errors = require(\"./auth-errors\");\nvar import_token_util = require(\"./token-util\");\n// Annotate the CommonJS export names for ESM import in node:\n0 && (module.exports = {\n  AccessTokenMissingError,\n  RefreshAccessTokenFailedError,\n  getContext,\n  getVercelOidcToken,\n  getVercelOidcTokenSync,\n  getVercelToken\n});\n", "/**\n * Shared WebSocket subprotocol contract for AI Gateway realtime and streaming\n * transcription auth.\n *\n * The browser `WebSocket` API cannot set request headers, so the Gateway auth\n * (bearer) token is carried through the `Sec-WebSocket-Protocol` handshake\n * instead of an `Authorization` header — the same workaround OpenAI uses for\n * `openai-insecure-api-key.<token>`.\n *\n * This module is the single source of truth for that contract so the client and\n * the Gateway server can't drift: the client encodes values with\n * `getGatewayRealtimeProtocols` / `getGatewayTranscriptionProtocols`, and the\n * Gateway server decodes them with `getGatewayRealtimeAuthToken` /\n * `getGatewayRealtimeTeamIdOrSlug`.\n *\n * WebSocket subprotocol values must fit the RFC token grammar. The auth token is\n * sent as-is, so callers must use tokens that are valid subprotocol tokens; the\n * optional team scope is base64url-encoded by this module. Keep the complete\n * `Sec-WebSocket-Protocol` header compact (target under an 8 KiB safe header\n * budget) because intermediaries may reject large upgrade headers.\n */\n\n/**\n * Marker subprotocol offered on every realtime handshake so the Gateway can\n * echo a negotiated subprotocol on the 101 response (some clients require the\n * server to select one of the offered subprotocols).\n */\nexport const GATEWAY_REALTIME_SUBPROTOCOL = 'ai-gateway-realtime.v1';\n\n/**\n * Marker subprotocol for streaming transcription handshakes (same negotiation\n * purpose as `GATEWAY_REALTIME_SUBPROTOCOL`).\n */\nexport const GATEWAY_TRANSCRIPTION_SUBPROTOCOL = 'ai-gateway-transcription.v1';\n\n/** Subprotocol prefix that carries the Gateway auth (bearer) token. */\nexport const GATEWAY_AUTH_SUBPROTOCOL_PREFIX = 'ai-gateway-auth.';\n\n/** Subprotocol prefix that carries optional Vercel team scoping. */\nexport const GATEWAY_TEAM_SUBPROTOCOL_PREFIX = 'ai-gateway-team.';\n\n/**\n * Client-side: build the WebSocket subprotocols that carry `token` to the\n * Gateway. Pass the result as the second argument to `new WebSocket(url, ...)`.\n */\nexport function getGatewayRealtimeProtocols(\n  token: string,\n  options?: { teamIdOrSlug?: string },\n): string[] {\n  return buildGatewayProtocols(GATEWAY_REALTIME_SUBPROTOCOL, token, options);\n}\n\n/**\n * Client-side: `getGatewayRealtimeProtocols`, but with the streaming\n * transcription marker subprotocol.\n */\nexport function getGatewayTranscriptionProtocols(\n  token: string,\n  options?: { teamIdOrSlug?: string },\n): string[] {\n  return buildGatewayProtocols(\n    GATEWAY_TRANSCRIPTION_SUBPROTOCOL,\n    token,\n    options,\n  );\n}\n\nfunction buildGatewayProtocols(\n  marker: string,\n  token: string,\n  options?: { teamIdOrSlug?: string },\n): string[] {\n  const protocols = [marker, `${GATEWAY_AUTH_SUBPROTOCOL_PREFIX}${token}`];\n\n  if (options?.teamIdOrSlug) {\n    protocols.push(\n      `${GATEWAY_TEAM_SUBPROTOCOL_PREFIX}${encodeSubprotocolValue(options.teamIdOrSlug)}`,\n    );\n  }\n\n  return protocols;\n}\n\n/**\n * Server-side: extract the Gateway auth (bearer) token from a\n * `Sec-WebSocket-Protocol` header value, or `undefined` when it is absent or\n * empty. The Gateway upgrade handler turns this into an\n * `Authorization: Bearer <token>` before its normal auth path.\n *\n * Accepts the raw header value (subprotocols are comma-separated and may carry\n * surrounding whitespace).\n */\nexport function getGatewayRealtimeAuthToken(\n  secWebSocketProtocol: string | null | undefined,\n): string | undefined {\n  // `findProtocol` trims the protocol, so the sliced token needs no further\n  // trimming; `|| undefined` collapses the empty-token case.\n  return (\n    findProtocol(secWebSocketProtocol, GATEWAY_AUTH_SUBPROTOCOL_PREFIX)?.slice(\n      GATEWAY_AUTH_SUBPROTOCOL_PREFIX.length,\n    ) || undefined\n  );\n}\n\n/**\n * Server-side: extract the optional Vercel team ID or slug from the\n * `Sec-WebSocket-Protocol` header value. Team scoping is base64url-encoded so\n * arbitrary team slugs stay within the WebSocket subprotocol token grammar.\n */\nexport function getGatewayRealtimeTeamIdOrSlug(\n  secWebSocketProtocol: string | null | undefined,\n): string | undefined {\n  const encoded = findProtocol(\n    secWebSocketProtocol,\n    GATEWAY_TEAM_SUBPROTOCOL_PREFIX,\n  )?.slice(GATEWAY_TEAM_SUBPROTOCOL_PREFIX.length);\n  if (!encoded) return undefined;\n\n  try {\n    return decodeSubprotocolValue(encoded) || undefined;\n  } catch {\n    return undefined;\n  }\n}\n\nfunction findProtocol(\n  secWebSocketProtocol: string | null | undefined,\n  prefix: string,\n): string | undefined {\n  return secWebSocketProtocol\n    ?.split(',')\n    .map(protocol => protocol.trim())\n    .find(protocol => protocol.startsWith(prefix));\n}\n\nfunction encodeSubprotocolValue(value: string): string {\n  const bytes = new TextEncoder().encode(value);\n  let binary = '';\n  for (const byte of bytes) {\n    binary += String.fromCharCode(byte);\n  }\n  return btoa(binary)\n    .replace(/\\+/g, '-')\n    .replace(/\\//g, '_')\n    .replace(/=+$/u, '');\n}\n\nfunction decodeSubprotocolValue(value: string): string {\n  const base64 = value.replace(/-/g, '+').replace(/_/g, '/');\n  const padding = '='.repeat((4 - (base64.length % 4)) % 4);\n  const binary = atob(`${base64}${padding}`);\n  const bytes = Uint8Array.from(binary, char => char.charCodeAt(0));\n  return new TextDecoder().decode(bytes);\n}\n", "import {\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  loadOptionalSetting,\n  postJsonToApi,\n  withoutTrailingSlash,\n  withUserAgentSuffix,\n  type FetchFunction,\n  type WebSocketConstructor,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError, GatewayAuthenticationError } from './errors';\nimport {\n  GATEWAY_AUTH_METHOD_HEADER,\n  VERCEL_AI_GATEWAY_TEAM_HEADER,\n} from './gateway-headers';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport {\n  GatewayFetchMetadata,\n  type GatewayFetchMetadataResponse,\n  type GatewayCreditsResponse,\n} from './gateway-fetch-metadata';\nimport {\n  GatewaySpendReport,\n  type GatewaySpendReportParams,\n  type GatewaySpendReportResponse,\n} from './gateway-spend-report';\nimport {\n  GatewayGenerationInfoFetcher,\n  type GatewayGenerationInfoParams,\n  type GatewayGenerationInfo,\n} from './gateway-generation-info';\nimport { GatewayBatchLanguageModel } from './gateway-language-model-batch';\nimport { GatewayEmbeddingModel } from './gateway-embedding-model';\nimport { GatewayImageModel } from './gateway-image-model';\nimport { GatewayVideoModel } from './gateway-video-model';\nimport { GatewayRerankingModel } from './gateway-reranking-model';\nimport { GatewaySpeechModel } from './gateway-speech-model';\nimport {\n  GatewayTranscriptionModel,\n  toGatewayTranscriptionUrl,\n} from './gateway-transcription-model';\nimport { GatewayRealtimeModel } from './gateway-realtime-model';\nimport type { GatewayEmbeddingModelId } from './gateway-embedding-model-settings';\nimport type { GatewayImageModelId } from './gateway-image-model-settings';\nimport type { GatewayRerankingModelId } from './gateway-reranking-model-settings';\nimport type { GatewaySpeechModelId } from './gateway-speech-model-settings';\nimport type { GatewayTranscriptionModelId } from './gateway-transcription-model-settings';\nimport type { GatewayRealtimeModelId } from './gateway-realtime-model-settings';\nimport type { GatewayVideoModelId } from './gateway-video-model-settings';\nimport { gatewayTools } from './gateway-tools';\nimport { getVercelOidcToken, getVercelRequestId } from './vercel-environment';\nimport type { GatewayModelId } from './gateway-language-model-settings';\nimport type {\n  EmbeddingModelV4,\n  Experimental_BatchLanguageModelV4 as BatchLanguageModelV4,\n  ImageModelV4,\n  RerankingModelV4,\n  SpeechModelV4,\n  TranscriptionModelV4,\n  Experimental_VideoModelV4,\n  Experimental_RealtimeFactoryV4 as RealtimeFactoryV4,\n  Experimental_RealtimeFactoryV4GetTokenOptions as RealtimeFactoryV4GetTokenOptions,\n  ProviderV4,\n} from '@ai-sdk/provider';\nimport { VERSION } from './version';\n\nexport interface GatewayProvider extends ProviderV4 {\n  (modelId: GatewayModelId): BatchLanguageModelV4;\n\n  /**\n   * Creates a model for text generation.\n   */\n  chat(modelId: GatewayModelId): BatchLanguageModelV4;\n\n  /**\n   * Creates a model for text generation.\n   */\n  languageModel(modelId: GatewayModelId): BatchLanguageModelV4;\n\n  /**\n   * Returns available providers and models for use with the remote provider.\n   */\n  getAvailableModels(): Promise<GatewayFetchMetadataResponse>;\n\n  /**\n   * Returns credit information for the authenticated user.\n   */\n  getCredits(): Promise<GatewayCreditsResponse>;\n\n  /**\n   * Returns a spend report with cost, token, and request count data,\n   * aggregated by the specified dimension.\n   */\n  getSpendReport(\n    params: GatewaySpendReportParams,\n  ): Promise<GatewaySpendReportResponse>;\n\n  /**\n   * Returns detailed information about a specific generation by its ID,\n   * including cost, token usage, latency, and provider details.\n   */\n  getGenerationInfo(\n    params: GatewayGenerationInfoParams,\n  ): Promise<GatewayGenerationInfo>;\n\n  /**\n   * Creates a model for generating text embeddings.\n   */\n  embedding(modelId: GatewayEmbeddingModelId): EmbeddingModelV4;\n\n  /**\n   * Creates a model for generating text embeddings.\n   */\n  embeddingModel(modelId: GatewayEmbeddingModelId): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: GatewayEmbeddingModelId): EmbeddingModelV4;\n\n  /**\n   * Creates a model for generating images.\n   */\n  image(modelId: GatewayImageModelId): ImageModelV4;\n\n  /**\n   * Creates a model for generating images.\n   */\n  imageModel(modelId: GatewayImageModelId): ImageModelV4;\n\n  /**\n   * Creates a model for generating videos.\n   */\n  video(modelId: GatewayVideoModelId): Experimental_VideoModelV4;\n\n  /**\n   * Creates a model for generating videos.\n   */\n  videoModel(modelId: GatewayVideoModelId): Experimental_VideoModelV4;\n\n  /**\n   * Creates a model for reranking documents.\n   */\n  reranking(modelId: GatewayRerankingModelId): RerankingModelV4;\n\n  /**\n   * Creates a model for reranking documents.\n   */\n  rerankingModel(modelId: GatewayRerankingModelId): RerankingModelV4;\n\n  /**\n   * Creates a model for text-to-speech generation.\n   */\n  speech(modelId: GatewaySpeechModelId): SpeechModelV4;\n\n  /**\n   * Creates a model for text-to-speech generation.\n   */\n  speechModel(modelId: GatewaySpeechModelId): SpeechModelV4;\n\n  /**\n   * Creates a model for audio transcription.\n   */\n  transcription(modelId: GatewayTranscriptionModelId): TranscriptionModelV4;\n\n  /**\n   * Creates a model for audio transcription.\n   */\n  transcriptionModel(\n    modelId: GatewayTranscriptionModelId,\n  ): TranscriptionModelV4;\n\n  /**\n   * Creates an experimental realtime model for bidirectional audio/text\n   * communication over WebSocket, normalized through the AI Gateway.\n   */\n  experimental_realtime: RealtimeFactoryV4;\n\n  /**\n   * Experimental streaming-transcription entry point. Callable like\n   * `transcription(modelId)`, plus `getToken` for minting a short-lived\n   * client secret (`vcst_`) a browser can use to open the streaming\n   * transcription WebSocket without holding the Gateway credential.\n   */\n  experimental_transcription: GatewayTranscriptionFactory;\n\n  /**\n   * Gateway-specific tools executed server-side.\n   */\n  tools: typeof gatewayTools;\n}\n\nexport type GatewayTranscriptionFactoryGetTokenOptions = {\n  model: GatewayTranscriptionModelId;\n  /** Token lifetime in seconds. Gateway default is 60s (max 300s). */\n  expiresAfterSeconds?: number;\n};\n\nexport type GatewayTranscriptionFactoryGetTokenResult = {\n  /** The minted `vcst_` client secret. */\n  token: string;\n  /** WebSocket URL of the streaming transcription surface for this model. */\n  url: string;\n  /** Token expiry, epoch seconds. */\n  expiresAt?: number;\n};\n\n/**\n * Streaming-transcription factory: callable like `transcription(modelId)`,\n * plus a server-side `getToken` that mints a transcription-bound short-lived\n * client secret (`vcst_`). The browser connects with\n * `createGateway({ apiKey: token }).transcription(modelId)` — the token rides\n * the same auth subprotocol an API key does, without exposing the credential.\n */\nexport interface GatewayTranscriptionFactory {\n  (modelId: GatewayTranscriptionModelId): TranscriptionModelV4;\n\n  getToken(\n    options: GatewayTranscriptionFactoryGetTokenOptions,\n  ): Promise<GatewayTranscriptionFactoryGetTokenResult>;\n}\n\nexport interface GatewayProviderSettings {\n  /**\n   * The base URL prefix for API calls. Defaults to `https://ai-gateway.vercel.sh/v4/ai`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key or Vercel access token that is being sent using the `Authorization`\n   * header. It defaults to the `AI_GATEWAY_API_KEY` environment variable.\n   */\n  apiKey?: string;\n\n  /**\n   * Vercel team ID or slug to scope requests for access tokens that can access\n   * multiple teams.\n   */\n  teamIdOrSlug?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Custom WebSocket implementation used for streaming transcription. This is\n   * useful for testing or for runtimes without a global WebSocket. A\n   * header-capable implementation is not required — Gateway WebSocket auth is\n   * carried in the subprotocols.\n   */\n  webSocket?: WebSocketConstructor;\n\n  /**\n   * How frequently to refresh the metadata cache in milliseconds.\n   */\n  metadataCacheRefreshMillis?: number;\n\n  /**\n   * @internal For testing purposes only\n   */\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}\n\nconst AI_GATEWAY_PROTOCOL_VERSION = '0.0.1';\n\n/** Response shape of `POST /v1/realtime/client-secrets`. `expiresAt` is epoch seconds. */\nconst gatewayClientSecretResponseSchema = z.object({\n  token: z.string(),\n  expiresAt: z.number().nullish(),\n});\n\n/**\n * Create a remote provider instance.\n */\nexport function createGateway(\n  options: GatewayProviderSettings = {},\n): GatewayProvider {\n  let pendingMetadata: Promise<GatewayFetchMetadataResponse> | null = null;\n  let metadataCache: GatewayFetchMetadataResponse | null = null;\n  const cacheRefreshMillis =\n    options.metadataCacheRefreshMillis ?? 1000 * 60 * 5;\n  let lastFetchTime = 0;\n\n  const baseURL =\n    withoutTrailingSlash(options.baseURL) ??\n    'https://ai-gateway.vercel.sh/v4/ai';\n\n  const createAuthHeaders = (auth: {\n    token: string;\n    authMethod: 'api-key' | 'oidc';\n  }) =>\n    withUserAgentSuffix(\n      {\n        Authorization: `Bearer ${auth.token}`,\n        'ai-gateway-protocol-version': AI_GATEWAY_PROTOCOL_VERSION,\n        [GATEWAY_AUTH_METHOD_HEADER]: auth.authMethod,\n        ...(options.teamIdOrSlug != null\n          ? { [VERCEL_AI_GATEWAY_TEAM_HEADER]: options.teamIdOrSlug }\n          : {}),\n        ...options.headers,\n      },\n      `ai-sdk/gateway/${VERSION}`,\n    );\n\n  const getHeaders = async () => {\n    try {\n      return createAuthHeaders(await getGatewayAuthToken(options));\n    } catch (error) {\n      throw GatewayAuthenticationError.createContextualError({\n        apiKeyProvided: false,\n        oidcTokenProvided: false,\n        statusCode: 401,\n        cause: error,\n      });\n    }\n  };\n\n  const getRealtimeAuthToken = async () => {\n    try {\n      return await getGatewayAuthToken(options);\n    } catch (error) {\n      throw GatewayAuthenticationError.createContextualError({\n        apiKeyProvided: false,\n        oidcTokenProvided: false,\n        statusCode: 401,\n        cause: error,\n      });\n    }\n  };\n\n  // Mints a short-lived client secret (`vcst_`) via the Gateway's\n  // `/v1/realtime/client-secrets` route, authenticated with the long-lived\n  // Gateway credential. Server-side only (asserted) — the credential never\n  // belongs in a browser; the browser receives only the minted token. The\n  // mint route lives at the gateway origin's `/v1/realtime/client-secrets`,\n  // not under the `baseURL` path (which targets `/v4/ai`), so the URL is\n  // resolved against the origin. `routeKind` binds the token to a WebSocket\n  // surface; it is omitted for realtime (the gateway default) so older\n  // gateway deployments keep accepting realtime mints.\n  const mintClientSecret = async (params: {\n    modelId: string;\n    expiresAfterSeconds?: number;\n    routeKind?: 'transcription';\n  }): Promise<{ token: string; expiresAt?: number }> => {\n    assertGatewayClientSecretServerEnvironment();\n    const auth = await getRealtimeAuthToken();\n    const headers = createAuthHeaders(auth);\n    const url = new URL('/v1/realtime/client-secrets', baseURL).toString();\n    try {\n      const { value } = await postJsonToApi({\n        url,\n        headers,\n        body: {\n          model: params.modelId,\n          ...(params.routeKind != null && { routeKind: params.routeKind }),\n          ...(params.expiresAfterSeconds != null && {\n            expiresIn: params.expiresAfterSeconds,\n          }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayClientSecretResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        fetch: options.fetch,\n      });\n      return {\n        token: value.token,\n        ...(value.expiresAt != null && { expiresAt: value.expiresAt }),\n      };\n    } catch (error) {\n      throw await asGatewayError(error, await parseAuthMethod(headers));\n    }\n  };\n\n  const createO11yHeaders = () => {\n    const deploymentId = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_DEPLOYMENT_ID',\n    });\n    const environment = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_ENV',\n    });\n    const region = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_REGION',\n    });\n    const projectId = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_PROJECT_ID',\n    });\n\n    return async () => {\n      const requestId = await getVercelRequestId();\n      return {\n        ...(deploymentId && { 'ai-o11y-deployment-id': deploymentId }),\n        ...(environment && { 'ai-o11y-environment': environment }),\n        ...(region && { 'ai-o11y-region': region }),\n        ...(requestId && { 'ai-o11y-request-id': requestId }),\n        ...(projectId && { 'ai-o11y-project-id': projectId }),\n      };\n    };\n  };\n\n  const createLanguageModel = (modelId: GatewayModelId) => {\n    return new GatewayBatchLanguageModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n\n  const getAvailableModels = async () => {\n    const now = options._internal?.currentDate?.().getTime() ?? Date.now();\n    if (!pendingMetadata || now - lastFetchTime > cacheRefreshMillis) {\n      lastFetchTime = now;\n\n      pendingMetadata = new GatewayFetchMetadata({\n        baseURL,\n        headers: getHeaders,\n        fetch: options.fetch,\n      })\n        .getAvailableModels()\n        .then(metadata => {\n          metadataCache = metadata;\n          return metadata;\n        })\n        .catch(async (error: unknown) => {\n          throw await asGatewayError(\n            error,\n            await parseAuthMethod(await getHeaders()),\n          );\n        });\n    }\n\n    return metadataCache ? Promise.resolve(metadataCache) : pendingMetadata;\n  };\n\n  const getCredits = async () => {\n    return new GatewayFetchMetadata({\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    })\n      .getCredits()\n      .catch(async (error: unknown) => {\n        throw await asGatewayError(\n          error,\n          await parseAuthMethod(await getHeaders()),\n        );\n      });\n  };\n\n  const getSpendReport = async (params: GatewaySpendReportParams) => {\n    return new GatewaySpendReport({\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    })\n      .getSpendReport(params)\n      .catch(async (error: unknown) => {\n        throw await asGatewayError(\n          error,\n          await parseAuthMethod(await getHeaders()),\n        );\n      });\n  };\n\n  const getGenerationInfo = async (params: GatewayGenerationInfoParams) => {\n    return new GatewayGenerationInfoFetcher({\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    })\n      .getGenerationInfo(params)\n      .catch(async (error: unknown) => {\n        throw await asGatewayError(\n          error,\n          await parseAuthMethod(await getHeaders()),\n        );\n      });\n  };\n\n  const provider = function (modelId: GatewayModelId) {\n    if (new.target) {\n      throw new Error(\n        'The Gateway Provider model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createLanguageModel(modelId);\n  };\n\n  provider.specificationVersion = 'v4' as const;\n  provider.getAvailableModels = getAvailableModels;\n  provider.getCredits = getCredits;\n  provider.getSpendReport = getSpendReport;\n  provider.getGenerationInfo = getGenerationInfo;\n  provider.imageModel = (modelId: GatewayImageModelId) => {\n    return new GatewayImageModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.languageModel = createLanguageModel;\n  const createEmbeddingModel = (modelId: GatewayEmbeddingModelId) => {\n    return new GatewayEmbeddingModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.videoModel = (modelId: GatewayVideoModelId) => {\n    return new GatewayVideoModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  const createRerankingModel = (modelId: GatewayRerankingModelId) => {\n    return new GatewayRerankingModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.rerankingModel = createRerankingModel;\n  provider.reranking = createRerankingModel;\n  const createSpeechModel = (modelId: GatewaySpeechModelId) => {\n    return new GatewaySpeechModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.speechModel = createSpeechModel;\n  provider.speech = createSpeechModel;\n  const createTranscriptionModel = (modelId: GatewayTranscriptionModelId) => {\n    return new GatewayTranscriptionModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n      webSocket: options.webSocket,\n    });\n  };\n  provider.transcriptionModel = createTranscriptionModel;\n  provider.transcription = createTranscriptionModel;\n  // Callable like `transcription(modelId)`; `getToken` mints a\n  // transcription-bound client secret (server-side only) the browser uses to\n  // connect via `createGateway({ apiKey: token }).transcription(modelId)`.\n  provider.experimental_transcription = Object.assign(\n    (modelId: GatewayTranscriptionModelId) => createTranscriptionModel(modelId),\n    {\n      getToken: async (\n        tokenOptions: GatewayTranscriptionFactoryGetTokenOptions,\n      ): Promise<GatewayTranscriptionFactoryGetTokenResult> => {\n        const secret = await mintClientSecret({\n          modelId: tokenOptions.model,\n          routeKind: 'transcription',\n          ...(tokenOptions.expiresAfterSeconds != null && {\n            expiresAfterSeconds: tokenOptions.expiresAfterSeconds,\n          }),\n        });\n        return {\n          token: secret.token,\n          url: toGatewayTranscriptionUrl(baseURL, tokenOptions.model),\n          ...(secret.expiresAt != null && { expiresAt: secret.expiresAt }),\n        };\n      },\n    },\n  ) as GatewayTranscriptionFactory;\n\n  // No server-environment guard here: building the realtime model is just the\n  // event codec + WebSocket-config helper, which the browser legitimately\n  // needs to drive the transport with a server-minted client secret. The\n  // server-only boundary is enforced on minting itself (`mintClientSecret`),\n  // which requires the Gateway credential.\n  const createRealtimeModel = (modelId: GatewayRealtimeModelId) =>\n    new GatewayRealtimeModel(modelId, {\n      provider: 'gateway.realtime',\n      baseURL,\n      teamIdOrSlug: options.teamIdOrSlug,\n      createClientSecret: mintClientSecret,\n    });\n  provider.experimental_realtime = Object.assign(\n    (modelId: GatewayRealtimeModelId) => createRealtimeModel(modelId),\n    {\n      getToken: async (tokenOptions: RealtimeFactoryV4GetTokenOptions) => {\n        const { model: modelId, ...secretOptions } = tokenOptions;\n        const model = createRealtimeModel(modelId);\n        const secret = await model.doCreateClientSecret(secretOptions);\n        return {\n          token: secret.token,\n          url: secret.url,\n          ...(secret.expiresAt != null && { expiresAt: secret.expiresAt }),\n        };\n      },\n    },\n  ) as RealtimeFactoryV4;\n\n  provider.chat = provider.languageModel;\n  provider.embedding = provider.embeddingModel;\n  provider.image = provider.imageModel;\n  provider.video = provider.videoModel;\n  provider.tools = gatewayTools;\n  return provider;\n}\n\nexport const gateway = createGateway();\n\nexport async function getGatewayAuthToken(\n  options: GatewayProviderSettings,\n): Promise<{ token: string; authMethod: 'api-key' | 'oidc' }> {\n  const apiKey = loadOptionalSetting({\n    settingValue: options.apiKey,\n    environmentVariableName: 'AI_GATEWAY_API_KEY',\n  });\n\n  if (apiKey) {\n    return {\n      token: apiKey,\n      authMethod: 'api-key',\n    };\n  }\n\n  const oidcToken = await getVercelOidcToken();\n  return {\n    token: oidcToken,\n    authMethod: 'oidc',\n  };\n}\n\nfunction assertGatewayClientSecretServerEnvironment(): void {\n  if (typeof globalThis.window !== 'undefined') {\n    throw new Error(\n      'AI Gateway client secrets must be minted server-side: minting needs your Gateway credential, which must never reach the browser. Call gateway.experimental_realtime.getToken() or gateway.experimental_transcription.getToken() from your server and pass the returned token to the client.',\n    );\n  }\n}\n", "import {\n  any,\n  array,\n  boolean,\n  discriminatedUnion,\n  enum as enumType,\n  literal,\n  number,\n  object,\n  record,\n  string,\n  union,\n  unknown,\n} from 'zod/v4';\n\n// Import individual Zod factories so bundlers do not retain the full `z`\n// namespace and all of its locale exports.\nexport const z = {\n  any,\n  array,\n  boolean,\n  discriminatedUnion,\n  enum: enumType,\n  literal,\n  number,\n  object,\n  record,\n  string,\n  union,\n  unknown,\n};\n", "import { APICallError } from '@ai-sdk/provider';\nimport { createGatewayErrorFromResponse } from './create-gateway-error';\nimport { extractApiCallResponse } from './extract-api-call-response';\nimport { GatewayError } from './gateway-error';\nimport { GatewayTimeoutError } from './gateway-timeout-error';\n\n/**\n * Checks if an error is a timeout error from undici.\n * Only checks undici-specific error codes to avoid false positives.\n */\nfunction isTimeoutError(error: unknown): boolean {\n  if (!(error instanceof Error)) {\n    return false;\n  }\n\n  // Check for undici-specific timeout error codes\n  const errorCode = (error as any).code;\n  if (typeof errorCode === 'string') {\n    const undiciTimeoutCodes = [\n      'UND_ERR_HEADERS_TIMEOUT',\n      'UND_ERR_BODY_TIMEOUT',\n      'UND_ERR_CONNECT_TIMEOUT',\n    ];\n    return undiciTimeoutCodes.includes(errorCode);\n  }\n\n  return false;\n}\n\nexport async function asGatewayError(\n  error: unknown,\n  authMethod?: 'api-key' | 'oidc',\n) {\n  if (GatewayError.isInstance(error)) {\n    return error;\n  }\n\n  // Check if this is a timeout error (or has a timeout error in the cause chain)\n  if (isTimeoutError(error)) {\n    return GatewayTimeoutError.createTimeoutError({\n      originalMessage: error instanceof Error ? error.message : 'Unknown error',\n      cause: error,\n    });\n  }\n\n  // Check if this is an APICallError caused by a timeout\n  if (APICallError.isInstance(error)) {\n    // Check if the cause is a timeout error\n    if (error.cause && isTimeoutError(error.cause)) {\n      return GatewayTimeoutError.createTimeoutError({\n        originalMessage: error.message,\n        cause: error,\n      });\n    }\n\n    return await createGatewayErrorFromResponse({\n      response: extractApiCallResponse(error),\n      statusCode: error.statusCode ?? 500,\n      defaultMessage: 'Gateway request failed',\n      cause: error,\n      authMethod,\n    });\n  }\n\n  return await createGatewayErrorFromResponse({\n    response: {},\n    statusCode: 500,\n    defaultMessage:\n      error instanceof Error\n        ? `Gateway request failed: ${error.message}`\n        : 'Unknown Gateway error',\n    cause: error,\n    authMethod,\n  });\n}\n", "const marker = 'vercel.ai.gateway.error';\nconst symbol = Symbol.for(marker);\n\nexport abstract class GatewayError extends Error {\n  private readonly [symbol] = true; // used in isInstance\n\n  abstract readonly name: string;\n  abstract readonly type: string;\n  readonly statusCode: number;\n  readonly cause?: unknown;\n  readonly generationId?: string;\n  readonly isRetryable: boolean;\n\n  constructor({\n    message,\n    statusCode = 500,\n    cause,\n    generationId,\n    isRetryable = statusCode != null &&\n      (statusCode === 408 || // request timeout\n        statusCode === 409 || // conflict\n        statusCode === 429 || // too many requests\n        statusCode >= 500), // server error\n  }: {\n    message: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n    isRetryable?: boolean;\n  }) {\n    super(generationId ? `${message} [${generationId}]` : message);\n    this.statusCode = statusCode;\n    this.cause = cause;\n    this.generationId = generationId;\n    this.isRetryable = isRetryable;\n  }\n\n  /**\n   * Checks if the given error is a Gateway Error.\n   * @param {unknown} error - The error to check.\n   * @returns {boolean} True if the error is a Gateway Error, false otherwise.\n   */\n  static isInstance(error: unknown): error is GatewayError {\n    return GatewayError.hasMarker(error);\n  }\n\n  static hasMarker(error: unknown): error is GatewayError {\n    return (\n      typeof error === 'object' &&\n      error !== null &&\n      symbol in error &&\n      (error as any)[symbol] === true\n    );\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayAuthenticationError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Authentication failed - invalid API key or OIDC token\n */\nexport class GatewayAuthenticationError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'authentication_error';\n\n  constructor({\n    message = 'Authentication failed',\n    statusCode = 401,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayAuthenticationError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n\n  /**\n   * Creates a contextual error message when authentication fails\n   */\n  static createContextualError({\n    apiKeyProvided,\n    oidcTokenProvided,\n    statusCode = 401,\n    cause,\n    generationId,\n  }: {\n    apiKeyProvided: boolean;\n    oidcTokenProvided: boolean;\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  }): GatewayAuthenticationError {\n    let contextualMessage: string;\n\n    if (apiKeyProvided) {\n      contextualMessage = `AI Gateway authentication failed: Invalid API key or token.\n\nCreate a new API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys\n\nProvide an API key or Vercel access token via 'apiKey' option or 'AI_GATEWAY_API_KEY' environment variable.`;\n    } else if (oidcTokenProvided) {\n      contextualMessage = `AI Gateway authentication failed: Invalid OIDC token.\n\nRun 'npx vercel link' to link your project, then 'vc env pull' to fetch the token.\n\nAlternatively, use an API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys\nor pass a Vercel access token via the 'apiKey' option.`;\n    } else {\n      contextualMessage = `AI Gateway authentication failed: No authentication provided.\n\nOption 1 - API key:\nCreate an API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys\nProvide via 'apiKey' option or 'AI_GATEWAY_API_KEY' environment variable.\n\nOption 2 - Vercel access token:\nPass a Vercel personal access token or Vercel app access token via the 'apiKey' option.\n\nOption 3 - OIDC token:\nRun 'npx vercel link' to link your project, then 'vc env pull' to fetch the token.`;\n    }\n\n    return new GatewayAuthenticationError({\n      message: contextualMessage,\n      statusCode,\n      cause,\n      generationId,\n    });\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayInvalidRequestError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Invalid request - missing headers, malformed data, etc.\n */\nexport class GatewayInvalidRequestError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'invalid_request_error';\n\n  constructor({\n    message = 'Invalid request',\n    statusCode = 400,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayInvalidRequestError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayRateLimitError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Rate limit exceeded.\n */\nexport class GatewayRateLimitError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'rate_limit_exceeded';\n\n  constructor({\n    message = 'Rate limit exceeded',\n    statusCode = 429,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayRateLimitError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { z } from '../zod';\nimport { GatewayError } from './gateway-error';\nimport { lazySchema, zodSchema } from '@ai-sdk/provider-utils';\n\nconst name = 'GatewayModelNotFoundError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport const modelNotFoundParamSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      modelId: z.string(),\n    }),\n  ),\n);\n\n/**\n * Model not found or not available\n */\nexport class GatewayModelNotFoundError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'model_not_found';\n  readonly modelId?: string;\n\n  constructor({\n    message = 'Model not found',\n    statusCode = 404,\n    modelId,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    modelId?: string;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n    this.modelId = modelId;\n  }\n\n  static isInstance(error: unknown): error is GatewayModelNotFoundError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayNotFoundError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Not found - the requested Gateway resource does not exist or is not\n * visible to the caller (e.g. an unknown async batch/video job id).\n * Distinct from `GatewayModelNotFoundError`, which is model-specific.\n */\nexport class GatewayNotFoundError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'not_found';\n\n  constructor({\n    message = 'Resource not found',\n    statusCode = 404,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayNotFoundError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayInternalServerError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Internal server error from the Gateway\n */\nexport class GatewayInternalServerError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'internal_server_error';\n\n  constructor({\n    message = 'Internal server error',\n    statusCode = 500,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayInternalServerError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayFailedDependencyError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * The request could not be fulfilled because a dependency it relied on was not\n * available on the credentials or provider used to serve it (HTTP 424). Not\n * retryable — the caller must change the request.\n */\nexport class GatewayFailedDependencyError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'failed_dependency';\n\n  constructor({\n    message = 'Failed dependency',\n    statusCode = 424,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayFailedDependencyError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { z } from '../zod';\nimport { GatewayError } from './gateway-error';\nimport { lazySchema, zodSchema } from '@ai-sdk/provider-utils';\n\nconst name = 'GatewayForbiddenError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport const forbiddenParamSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      ruleId: z.string(),\n    }),\n  ),\n);\n\n/**\n * Forbidden - the request was rejected by policy (e.g. a routing rule),\n * not an authentication failure.\n */\nexport class GatewayForbiddenError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'forbidden';\n  readonly ruleId?: string;\n\n  constructor({\n    message = 'Forbidden',\n    statusCode = 403,\n    cause,\n    generationId,\n    ruleId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n    ruleId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n    this.ruleId = ruleId;\n  }\n\n  static isInstance(error: unknown): error is GatewayForbiddenError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import type { TypeValidationError } from '@ai-sdk/provider';\nimport { GatewayError } from './gateway-error';\n\nconst name = 'GatewayResponseError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Gateway response parsing error\n */\nexport class GatewayResponseError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'response_error';\n  readonly response?: unknown;\n  readonly validationError?: TypeValidationError;\n\n  constructor({\n    message = 'Invalid response from Gateway',\n    statusCode = 502,\n    response,\n    validationError,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    response?: unknown;\n    validationError?: TypeValidationError;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n    this.response = response;\n    this.validationError = validationError;\n  }\n\n  static isInstance(error: unknown): error is GatewayResponseError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n", "import { z } from '../zod';\nimport type { GatewayError } from './gateway-error';\nimport { GatewayAuthenticationError } from './gateway-authentication-error';\nimport { GatewayInvalidRequestError } from './gateway-invalid-request-error';\nimport { GatewayRateLimitError } from './gateway-rate-limit-error';\nimport {\n  GatewayModelNotFoundError,\n  modelNotFoundParamSchema,\n} from './gateway-model-not-found-error';\nimport { GatewayNotFoundError } from './gateway-not-found-error';\nimport { GatewayInternalServerError } from './gateway-internal-server-error';\nimport { GatewayFailedDependencyError } from './gateway-failed-dependency-error';\nimport {\n  GatewayForbiddenError,\n  forbiddenParamSchema,\n} from './gateway-forbidden-error';\nimport { GatewayResponseError } from './gateway-response-error';\nimport {\n  lazySchema,\n  safeValidateTypes,\n  zodSchema,\n  type InferSchema,\n} from '@ai-sdk/provider-utils';\nexport async function createGatewayErrorFromResponse({\n  response,\n  statusCode,\n  defaultMessage = 'Gateway request failed',\n  cause,\n  authMethod,\n}: {\n  response: unknown;\n  statusCode: number;\n  defaultMessage?: string;\n  cause?: unknown;\n  authMethod?: 'api-key' | 'oidc';\n}): Promise<GatewayError> {\n  const parseResult = await safeValidateTypes({\n    value: response,\n    schema: gatewayErrorResponseSchema,\n  });\n\n  if (!parseResult.success) {\n    // Try to extract generationId even if validation failed\n    const rawGenerationId =\n      typeof response === 'object' &&\n      response !== null &&\n      'generationId' in response\n        ? (response as { generationId?: string }).generationId\n        : undefined;\n\n    return new GatewayResponseError({\n      message: `Invalid error response format: ${defaultMessage}`,\n      statusCode,\n      response,\n      validationError: parseResult.error,\n      cause,\n      generationId: rawGenerationId,\n    });\n  }\n\n  const validatedResponse: GatewayErrorResponse = parseResult.value;\n  const errorType = validatedResponse.error.type;\n  const message = validatedResponse.error.message;\n  const generationId = validatedResponse.generationId ?? undefined;\n\n  switch (errorType) {\n    case 'authentication_error':\n      return GatewayAuthenticationError.createContextualError({\n        apiKeyProvided: authMethod === 'api-key',\n        oidcTokenProvided: authMethod === 'oidc',\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'invalid_request_error':\n      return new GatewayInvalidRequestError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'rate_limit_exceeded':\n      return new GatewayRateLimitError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'model_not_found': {\n      const modelResult = await safeValidateTypes({\n        value: validatedResponse.error.param,\n        schema: modelNotFoundParamSchema,\n      });\n\n      return new GatewayModelNotFoundError({\n        message,\n        statusCode,\n        modelId: modelResult.success ? modelResult.value.modelId : undefined,\n        cause,\n        generationId,\n      });\n    }\n    case 'not_found':\n      return new GatewayNotFoundError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'internal_server_error':\n      return new GatewayInternalServerError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'failed_dependency':\n      return new GatewayFailedDependencyError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n    case 'forbidden': {\n      const ruleResult = await safeValidateTypes({\n        value: validatedResponse.error.param,\n        schema: forbiddenParamSchema,\n      });\n\n      return new GatewayForbiddenError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n        ruleId: ruleResult.success ? ruleResult.value.ruleId : undefined,\n      });\n    }\n    default:\n      return new GatewayInternalServerError({\n        message,\n        statusCode,\n        cause,\n        generationId,\n      });\n  }\n}\n\nconst gatewayErrorResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      error: z.object({\n        message: z.string(),\n        type: z.string().nullish(),\n        param: z.unknown().nullish(),\n        code: z.union([z.string(), z.number()]).nullish(),\n      }),\n      generationId: z.string().nullish(),\n    }),\n  ),\n);\n\nexport type GatewayErrorResponse = InferSchema<\n  typeof gatewayErrorResponseSchema\n>;\n", "import type { APICallError } from '@ai-sdk/provider';\nimport { secureJsonParse } from '@ai-sdk/provider-utils';\n\nexport function extractApiCallResponse(error: APICallError): unknown {\n  if (error.data !== undefined) {\n    return error.data;\n  }\n  if (error.responseBody != null) {\n    try {\n      return secureJsonParse(error.responseBody);\n    } catch {\n      return error.responseBody;\n    }\n  }\n  return {};\n}\n", "import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayTimeoutError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Client request timed out before receiving a response.\n */\nexport class GatewayTimeoutError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'timeout_error';\n\n  constructor({\n    message = 'Request timed out',\n    statusCode = 408,\n    cause,\n    generationId,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  } = {}) {\n    super({ message, statusCode, cause, generationId });\n  }\n\n  static isInstance(error: unknown): error is GatewayTimeoutError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n\n  /**\n   * Creates a helpful timeout error message with troubleshooting guidance\n   */\n  static createTimeoutError({\n    originalMessage,\n    statusCode = 408,\n    cause,\n    generationId,\n  }: {\n    originalMessage: string;\n    statusCode?: number;\n    cause?: unknown;\n    generationId?: string;\n  }): GatewayTimeoutError {\n    const message = `Gateway request timed out: ${originalMessage}\n\n    This is a client-side timeout. To resolve this, increase your timeout configuration: https://vercel.com/docs/ai-gateway/capabilities/video-generation#extending-timeouts-for-node.js`;\n\n    return new GatewayTimeoutError({\n      message,\n      statusCode,\n      cause,\n      generationId,\n    });\n  }\n}\n", "export const GATEWAY_AUTH_METHOD_HEADER = 'ai-gateway-auth-method' as const;\nexport const VERCEL_AI_GATEWAY_TEAM_HEADER =\n  'x-vercel-ai-gateway-team' as const;\n", "import { z } from '../zod';\nimport {\n  lazySchema,\n  safeValidateTypes,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { GATEWAY_AUTH_METHOD_HEADER } from '../gateway-headers';\n\nexport async function parseAuthMethod(\n  headers: Record<string, string | undefined>,\n) {\n  const result = await safeValidateTypes({\n    value: headers[GATEWAY_AUTH_METHOD_HEADER],\n    schema: gatewayAuthMethodSchema,\n  });\n\n  return result.success ? result.value : undefined;\n}\n\nconst gatewayAuthMethodSchema = lazySchema(() =>\n  zodSchema(z.union([z.literal('api-key'), z.literal('oidc')])),\n);\n", "import {\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  getFromApi,\n  lazySchema,\n  resolve,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport type { GatewayConfig } from './gateway-config';\nimport {\n  KNOWN_MODEL_TYPES,\n  type GatewayLanguageModelEntry,\n  type KnownModelType,\n} from './gateway-model-entry';\ntype GatewayFetchMetadataConfig = GatewayConfig;\n\nexport interface GatewayFetchMetadataResponse {\n  models: GatewayLanguageModelEntry[];\n}\n\nexport interface GatewayCreditsResponse {\n  /** The remaining gateway credit balance available for API usage */\n  balance: string;\n  /** The total amount of gateway credits that have been consumed */\n  totalUsed: string;\n}\n\nexport class GatewayFetchMetadata {\n  constructor(private readonly config: GatewayFetchMetadataConfig) {}\n\n  async getAvailableModels(): Promise<GatewayFetchMetadataResponse> {\n    try {\n      const { value } = await getFromApi({\n        url: `${this.config.baseURL}/config`,\n        validateUrl: false,\n        headers: this.config.headers\n          ? await resolve(this.config.headers)\n          : undefined,\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayAvailableModelsResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n\n  async getCredits(): Promise<GatewayCreditsResponse> {\n    try {\n      const baseUrl = new URL(this.config.baseURL);\n\n      const { value } = await getFromApi({\n        url: `${baseUrl.origin}/v1/credits`,\n        validateUrl: false,\n        headers: this.config.headers\n          ? await resolve(this.config.headers)\n          : undefined,\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayCreditsResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n}\n\nconst gatewayAvailableModelsResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      models: z\n        .array(\n          z.object({\n            id: z.string(),\n            name: z.string(),\n            description: z.string().nullish(),\n            pricing: z\n              .object({\n                input: z.string(),\n                output: z.string(),\n                input_cache_read: z.string().nullish(),\n                input_cache_write: z.string().nullish(),\n              })\n              .transform(\n                ({ input, output, input_cache_read, input_cache_write }) => ({\n                  input,\n                  output,\n                  ...(input_cache_read\n                    ? { cachedInputTokens: input_cache_read }\n                    : {}),\n                  ...(input_cache_write\n                    ? { cacheCreationInputTokens: input_cache_write }\n                    : {}),\n                }),\n              )\n              .nullish(),\n            specification: z.object({\n              specificationVersion: z.literal('v4'),\n              provider: z.string(),\n              modelId: z.string(),\n            }),\n            modelType: z.string().nullish(),\n          }),\n        )\n        .transform(models =>\n          models.filter(\n            (m): m is typeof m & { modelType?: KnownModelType | null } =>\n              m.modelType == null ||\n              KNOWN_MODEL_TYPES.includes(m.modelType as KnownModelType),\n          ),\n        ),\n    }),\n  ),\n);\n\nconst gatewayCreditsResponseSchema = lazySchema(() =>\n  zodSchema(\n    z\n      .object({\n        balance: z.string(),\n        total_used: z.string(),\n      })\n      .transform(({ balance, total_used }) => ({\n        balance,\n        totalUsed: total_used,\n      })),\n  ),\n);\n", "import type { LanguageModelV4 } from '@ai-sdk/provider';\n\nexport const KNOWN_MODEL_TYPES = [\n  'embedding',\n  'image',\n  'language',\n  'realtime',\n  'reranking',\n  'speech',\n  'transcription',\n  'video',\n] as const;\n\nexport type KnownModelType = (typeof KNOWN_MODEL_TYPES)[number];\n\nexport interface GatewayLanguageModelEntry {\n  /**\n   * The model id used by the remote provider in model settings and for specifying the\n   * intended model for text generation.\n   */\n  id: string;\n\n  /**\n   * The display name of the model for presentation in user-facing contexts.\n   */\n  name: string;\n\n  /**\n   * Optional description of the model.\n   */\n  description?: string | null;\n\n  /**\n   * Optional pricing information for the model.\n   */\n  pricing?: {\n    /**\n     * Cost per input token in USD.\n     */\n    input: string;\n    /**\n     * Cost per output token in USD.\n     */\n    output: string;\n    /**\n     * Cost per cached input token in USD.\n     * Only present for providers/models that support prompt caching.\n     */\n    cachedInputTokens?: string;\n    /**\n     * Cost per input token to create/write cache entries in USD.\n     * Only present for providers/models that support prompt caching.\n     */\n    cacheCreationInputTokens?: string;\n  } | null;\n\n  /**\n   * Additional AI SDK language model specifications for the model.\n   */\n  specification: GatewayLanguageModelSpecification;\n\n  /**\n   * Optional field to differentiate between model types.\n   */\n  modelType?: KnownModelType | null;\n}\n\nexport type GatewayLanguageModelSpecification = Pick<\n  LanguageModelV4,\n  'specificationVersion' | 'provider' | 'modelId'\n>;\n", "import {\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  getFromApi,\n  lazySchema,\n  resolve,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport type { GatewayConfig } from './gateway-config';\n\nexport interface GatewaySpendReportParams {\n  /** Start date in YYYY-MM-DD format (inclusive) */\n  startDate: string;\n  /** End date in YYYY-MM-DD format (inclusive) */\n  endDate: string;\n  /** Primary aggregation dimension. Defaults to 'day'. */\n  groupBy?: 'day' | 'user' | 'model' | 'tag' | 'provider' | 'credential_type';\n  /** Time granularity when groupBy is 'day'. */\n  datePart?: 'day' | 'hour';\n  /** Filter to a specific user's spend. */\n  userId?: string;\n  /** Filter to a specific model (e.g. 'anthropic/claude-sonnet-4.5'). */\n  model?: string;\n  /** Filter to a specific provider (e.g. 'anthropic'). */\n  provider?: string;\n  /** Filter to BYOK or system credentials. */\n  credentialType?: 'byok' | 'system';\n  /** Filter to requests with these tags. */\n  tags?: string[];\n}\n\nexport interface GatewaySpendReportRow {\n  /** Date string (present when groupBy is 'day') */\n  day?: string;\n  /** Hour timestamp (present when groupBy is 'day' and datePart is 'hour') */\n  hour?: string;\n  /** User identifier (present when groupBy is 'user') */\n  user?: string;\n  /** Model identifier (present when groupBy is 'model') */\n  model?: string;\n  /** Tag value (present when groupBy is 'tag') */\n  tag?: string;\n  /** Provider name (present when groupBy is 'provider') */\n  provider?: string;\n  /** Credential type (present when groupBy is 'credential_type') */\n  credentialType?: 'byok' | 'system';\n\n  /** Total cost in USD */\n  totalCost: number;\n  /** Market cost in USD */\n  marketCost?: number;\n  /** Number of input tokens */\n  inputTokens?: number;\n  /** Number of output tokens */\n  outputTokens?: number;\n  /** Number of cached input tokens */\n  cachedInputTokens?: number;\n  /** Number of cache creation input tokens */\n  cacheCreationInputTokens?: number;\n  /** Number of reasoning tokens */\n  reasoningTokens?: number;\n  /** Number of requests */\n  requestCount?: number;\n}\n\nexport interface GatewaySpendReportResponse {\n  results: GatewaySpendReportRow[];\n}\n\nexport class GatewaySpendReport {\n  constructor(private readonly config: GatewayConfig) {}\n\n  async getSpendReport(\n    params: GatewaySpendReportParams,\n  ): Promise<GatewaySpendReportResponse> {\n    try {\n      const baseUrl = new URL(this.config.baseURL);\n\n      const searchParams = new URLSearchParams();\n      searchParams.set('start_date', params.startDate);\n      searchParams.set('end_date', params.endDate);\n\n      if (params.groupBy) {\n        searchParams.set('group_by', params.groupBy);\n      }\n      if (params.datePart) {\n        searchParams.set('date_part', params.datePart);\n      }\n      if (params.userId) {\n        searchParams.set('user_id', params.userId);\n      }\n      if (params.model) {\n        searchParams.set('model', params.model);\n      }\n      if (params.provider) {\n        searchParams.set('provider', params.provider);\n      }\n      if (params.credentialType) {\n        searchParams.set('credential_type', params.credentialType);\n      }\n      if (params.tags && params.tags.length > 0) {\n        searchParams.set('tags', params.tags.join(','));\n      }\n\n      const { value } = await getFromApi({\n        url: `${baseUrl.origin}/v1/report?${searchParams.toString()}`,\n        validateUrl: false,\n        headers: this.config.headers\n          ? await resolve(this.config.headers)\n          : undefined,\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewaySpendReportResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n}\n\nconst gatewaySpendReportResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      results: z.array(\n        z\n          .object({\n            day: z.string().optional(),\n            hour: z.string().optional(),\n            user: z.string().optional(),\n            model: z.string().optional(),\n            tag: z.string().optional(),\n            provider: z.string().optional(),\n            credential_type: z.enum(['byok', 'system']).optional(),\n            total_cost: z.number(),\n            market_cost: z.number().optional(),\n            input_tokens: z.number().optional(),\n            output_tokens: z.number().optional(),\n            cached_input_tokens: z.number().optional(),\n            cache_creation_input_tokens: z.number().optional(),\n            reasoning_tokens: z.number().optional(),\n            request_count: z.number().optional(),\n          })\n          .transform(\n            ({\n              credential_type,\n              total_cost,\n              market_cost,\n              input_tokens,\n              output_tokens,\n              cached_input_tokens,\n              cache_creation_input_tokens,\n              reasoning_tokens,\n              request_count,\n              ...rest\n            }) => ({\n              ...rest,\n              ...(credential_type !== undefined\n                ? { credentialType: credential_type }\n                : {}),\n              totalCost: total_cost,\n              ...(market_cost !== undefined ? { marketCost: market_cost } : {}),\n              ...(input_tokens !== undefined\n                ? { inputTokens: input_tokens }\n                : {}),\n              ...(output_tokens !== undefined\n                ? { outputTokens: output_tokens }\n                : {}),\n              ...(cached_input_tokens !== undefined\n                ? { cachedInputTokens: cached_input_tokens }\n                : {}),\n              ...(cache_creation_input_tokens !== undefined\n                ? { cacheCreationInputTokens: cache_creation_input_tokens }\n                : {}),\n              ...(reasoning_tokens !== undefined\n                ? { reasoningTokens: reasoning_tokens }\n                : {}),\n              ...(request_count !== undefined\n                ? { requestCount: request_count }\n                : {}),\n            }),\n          ),\n      ),\n    }),\n  ),\n);\n", "import {\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  getFromApi,\n  lazySchema,\n  resolve,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport type { GatewayConfig } from './gateway-config';\n\nexport interface GatewayGenerationInfoParams {\n  /** The generation ID to look up (format: gen_<ulid>) */\n  id: string;\n}\n\nexport interface GatewayGenerationInfo {\n  /** The generation ID */\n  id: string;\n  /** Total cost in USD */\n  totalCost: number;\n  /** Upstream inference cost in USD (BYOK only) */\n  upstreamInferenceCost: number;\n  /** Usage cost in USD (same as totalCost) */\n  usage: number;\n  /** ISO 8601 timestamp when the generation was created */\n  createdAt: string;\n  /** Model identifier */\n  model: string;\n  /** Whether BYOK credentials were used */\n  isByok: boolean;\n  /** Provider that served this generation */\n  providerName: string;\n  /** Whether streaming was used */\n  streamed: boolean;\n  /** Finish reason (e.g. 'stop') */\n  finishReason: string;\n  /** Time to first token in milliseconds */\n  latency: number;\n  /** Total generation time in milliseconds */\n  generationTime: number;\n  /** Number of prompt tokens */\n  promptTokens: number;\n  /** Number of completion tokens */\n  completionTokens: number;\n  /** Reasoning tokens used */\n  reasoningTokens: number;\n  /** Cached tokens used */\n  cachedTokens: number;\n  /** Cache creation input tokens */\n  cacheCreationTokens: number;\n  /** Billable web search calls */\n  billableWebSearchCalls: number;\n}\n\nexport class GatewayGenerationInfoFetcher {\n  constructor(private readonly config: GatewayConfig) {}\n\n  async getGenerationInfo(\n    params: GatewayGenerationInfoParams,\n  ): Promise<GatewayGenerationInfo> {\n    try {\n      const baseUrl = new URL(this.config.baseURL);\n\n      const { value } = await getFromApi({\n        url: `${baseUrl.origin}/v1/generation?id=${encodeURIComponent(params.id)}`,\n        validateUrl: false,\n        headers: this.config.headers\n          ? await resolve(this.config.headers)\n          : undefined,\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayGenerationInfoResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n}\n\nconst gatewayGenerationInfoResponseSchema = lazySchema(() =>\n  zodSchema(\n    z\n      .object({\n        data: z\n          .object({\n            id: z.string(),\n            total_cost: z.number(),\n            upstream_inference_cost: z.number(),\n            usage: z.number(),\n            created_at: z.string(),\n            model: z.string(),\n            is_byok: z.boolean(),\n            provider_name: z.string(),\n            streamed: z.boolean(),\n            finish_reason: z.string(),\n            latency: z.number(),\n            generation_time: z.number(),\n            native_tokens_prompt: z.number(),\n            native_tokens_completion: z.number(),\n            native_tokens_reasoning: z.number(),\n            native_tokens_cached: z.number(),\n            native_tokens_cache_creation: z.number(),\n            billable_web_search_calls: z.number(),\n          })\n          .transform(\n            ({\n              total_cost,\n              upstream_inference_cost,\n              created_at,\n              is_byok,\n              provider_name,\n              finish_reason,\n              generation_time,\n              native_tokens_prompt,\n              native_tokens_completion,\n              native_tokens_reasoning,\n              native_tokens_cached,\n              native_tokens_cache_creation,\n              billable_web_search_calls,\n              ...rest\n            }) => ({\n              ...rest,\n              totalCost: total_cost,\n              upstreamInferenceCost: upstream_inference_cost,\n              createdAt: created_at,\n              isByok: is_byok,\n              providerName: provider_name,\n              finishReason: finish_reason,\n              generationTime: generation_time,\n              promptTokens: native_tokens_prompt,\n              completionTokens: native_tokens_completion,\n              reasoningTokens: native_tokens_reasoning,\n              cachedTokens: native_tokens_cached,\n              cacheCreationTokens: native_tokens_cache_creation,\n              billableWebSearchCalls: billable_web_search_calls,\n            }),\n          ),\n      })\n      .transform(({ data }) => data),\n  ),\n);\n", "import {\n  APICallError,\n  type Experimental_BatchLanguageModelV4 as BatchLanguageModelV4,\n  type Experimental_BatchV4ItemResult as BatchV4ItemResult,\n  type Experimental_BatchV4OperationOptions as BatchV4OperationOptions,\n  type Experimental_BatchV4StartOptions as BatchV4StartOptions,\n  type Experimental_BatchV4StartResult as BatchV4StartResult,\n  type Experimental_BatchV4Status as BatchV4Status,\n  type Experimental_LanguageModelV4BatchRequest as LanguageModelV4BatchRequest,\n  type LanguageModelV4GenerateResult,\n  type SharedV4ProviderMetadata,\n  type SharedV4ProviderOptions,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertAsyncIteratorToReadableStream,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  parseJSON,\n  postJsonToApi,\n  resolve,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport {\n  GatewayLanguageModel,\n  type GatewayChatConfig,\n} from './gateway-language-model';\nimport type { GatewayModelId } from './gateway-language-model-settings';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\nexport class GatewayBatchLanguageModel\n  extends GatewayLanguageModel\n  implements BatchLanguageModelV4\n{\n  static [WORKFLOW_SERIALIZE](model: GatewayBatchLanguageModel) {\n    return GatewayLanguageModel[WORKFLOW_SERIALIZE](model);\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: GatewayModelId;\n    config: GatewayChatConfig;\n  }) {\n    return new GatewayBatchLanguageModel(options.modelId, options.config);\n  }\n\n  constructor(modelId: GatewayModelId, config: GatewayChatConfig) {\n    super(modelId, config);\n  }\n\n  /**\n   * Starts a durable batch of text-generation requests through the Gateway's\n   * async batch surface (`POST {baseURL}/batch/start`). The returned\n   * `batchId` is the Gateway job id — provider-native batch ids stay\n   * server-side, so status and results always route back through the\n   * Gateway job.\n   */\n  async experimental_doStartBatch({\n    requests,\n    providerOptions,\n    headers,\n    abortSignal,\n  }: BatchV4StartOptions<LanguageModelV4BatchRequest>): Promise<BatchV4StartResult> {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n\n    const idempotencyKey = getGatewayBatchIdempotencyKey(providerOptions);\n    const forwardedProviderOptions = omitGatewayIdempotencyKey(providerOptions);\n\n    try {\n      const { value: responseBody } = await postJsonToApi({\n        url: this.getBatchUrl('start'),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers,\n          this.getBatchConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n          idempotencyKey != null\n            ? { 'idempotency-key': idempotencyKey }\n            : undefined,\n        ),\n        body: {\n          modelId: this.modelId,\n          requests: requests.map(request => ({\n            id: request.id,\n            options: this.maybeEncodeFileParts(request.options),\n          })),\n          ...(forwardedProviderOptions != null && {\n            providerOptions: forwardedProviderOptions,\n          }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayBatchStartResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        batchId: responseBody.batchId,\n        ...convertGatewayBatchStatus(responseBody),\n        warnings: (responseBody.warnings ??\n          []) as unknown as BatchV4StartResult['warnings'],\n      };\n    } catch (error) {\n      // Preserve cancellation: an aborted batch start may still have been\n      // accepted server-side, so it must not surface as a retryable 500.\n      if (isAbortOrTimeoutError(error)) {\n        throw error;\n      }\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  /**\n   * Retrieves the lifecycle status of a Gateway batch job\n   * (`POST {baseURL}/batch/status`).\n   */\n  async experimental_doGetBatchStatus({\n    batchId,\n    headers,\n    abortSignal,\n  }: BatchV4OperationOptions): Promise<BatchV4Status> {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n\n    try {\n      const { value: responseBody } = await postJsonToApi({\n        url: this.getBatchUrl('status'),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers,\n          this.getBatchConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: { batchId },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayBatchStatusResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return convertGatewayBatchStatus(responseBody);\n    } catch (error) {\n      if (isAbortOrTimeoutError(error)) {\n        throw error;\n      }\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  /**\n   * Streams the per-request results of a terminal Gateway batch job\n   * (`POST {baseURL}/batch/results`, `application/x-ndjson`: one\n   * `BatchV4ItemResult` JSON object per line). Items are validated minimally\n   * (id + status) and passed through — the Gateway sanitizes them\n   * server-side. The route responds 400 while the batch is non-terminal.\n   */\n  async experimental_doGetBatchResults({\n    batchId,\n    headers,\n    abortSignal,\n  }: BatchV4OperationOptions): Promise<\n    ReadableStream<BatchV4ItemResult<LanguageModelV4GenerateResult>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n\n    try {\n      const { value: stream } = await postJsonToApi({\n        url: this.getBatchUrl('results'),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers,\n          this.getBatchConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: { batchId },\n        successfulResponseHandler: async ({\n          response,\n          url,\n          requestBodyValues,\n        }: {\n          url: string;\n          requestBodyValues: unknown;\n          response: Response;\n        }) => {\n          if (response.body == null) {\n            throw new APICallError({\n              message: 'Batch results response body is empty',\n              url,\n              requestBodyValues,\n              statusCode: response.status,\n            });\n          }\n          return {\n            value: response.body,\n            responseHeaders: Object.fromEntries([...response.headers]),\n          };\n        },\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return convertAsyncIteratorToReadableStream(\n        parseGatewayBatchResultLines(stream),\n      );\n    } catch (error) {\n      if (isAbortOrTimeoutError(error)) {\n        throw error;\n      }\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private getBatchUrl(path: 'results' | 'start' | 'status') {\n    return `${this.config.baseURL}/batch/${path}`;\n  }\n\n  private getBatchConfigHeaders() {\n    return {\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\n/**\n * Extracts the optional Gateway idempotency key from\n * `providerOptions.gateway.idempotencyKey`. It is sent as the\n * `idempotency-key` request header — the Gateway's replay contract for batch\n * starts — and stripped from the forwarded body by\n * `omitGatewayIdempotencyKey`.\n */\nfunction getGatewayBatchIdempotencyKey(\n  providerOptions: SharedV4ProviderOptions | undefined,\n): string | undefined {\n  const gatewayOptions = providerOptions?.gateway;\n  if (\n    gatewayOptions == null ||\n    typeof gatewayOptions !== 'object' ||\n    Array.isArray(gatewayOptions)\n  ) {\n    return undefined;\n  }\n  const key = (gatewayOptions as { idempotencyKey?: unknown }).idempotencyKey;\n  return typeof key === 'string' && key.length > 0 ? key : undefined;\n}\n\n/**\n * Removes `gateway.idempotencyKey` from the providerOptions forwarded in the\n * request body. The key is transport metadata (it rides the `idempotency-key`\n * header); the Gateway hashes the raw body for replay payload identity but\n * normalizes the header separately, so keeping it out of the payload prevents\n * equivalent retries from producing different digests (a false 422).\n */\nfunction omitGatewayIdempotencyKey(\n  providerOptions: SharedV4ProviderOptions | undefined,\n): SharedV4ProviderOptions | undefined {\n  const gatewayOptions = providerOptions?.gateway;\n  if (\n    gatewayOptions == null ||\n    typeof gatewayOptions !== 'object' ||\n    Array.isArray(gatewayOptions) ||\n    !('idempotencyKey' in gatewayOptions)\n  ) {\n    return providerOptions;\n  }\n\n  const { idempotencyKey: _idempotencyKey, ...restGatewayOptions } =\n    gatewayOptions as Record<string, unknown>;\n  const restProviderOptions: Record<string, unknown> = { ...providerOptions };\n  if (Object.keys(restGatewayOptions).length === 0) {\n    delete restProviderOptions.gateway;\n  } else {\n    restProviderOptions.gateway = restGatewayOptions;\n  }\n  if (Object.keys(restProviderOptions).length === 0) {\n    return undefined;\n  }\n  return restProviderOptions as SharedV4ProviderOptions;\n}\n\n/**\n * Matches cancellation errors (`AbortError`/`TimeoutError`), which\n * `asGatewayError` would otherwise wrap into a retryable Gateway 500. Kept\n * local because `isAbortError` is not exported from `@ai-sdk/provider-utils`;\n * `DOMException` does not extend `Error`, so both must be checked.\n */\nfunction isAbortOrTimeoutError(error: unknown): boolean {\n  if (!(error instanceof Error || error instanceof DOMException)) {\n    return false;\n  }\n  return error.name === 'AbortError' || error.name === 'TimeoutError';\n}\n\nfunction convertGatewayBatchStatus(body: {\n  status: 'completed' | 'failed' | 'pending';\n  rawStatus?: string | null;\n  requestCounts?: {\n    total?: number | null;\n    pending?: number | null;\n    completed?: number | null;\n    failed?: number | null;\n  } | null;\n  error?: {\n    message: string;\n    type?: string | null;\n    code?: string | null;\n    statusCode?: number | null;\n  } | null;\n  createdAt?: string | null;\n  expiresAt?: string | null;\n  providerMetadata?: Record<string, Record<string, unknown>> | null;\n}): BatchV4Status {\n  const requestCounts = convertGatewayBatchRequestCounts(body.requestCounts);\n\n  return {\n    status: body.status,\n    ...(body.rawStatus != null && { rawStatus: body.rawStatus }),\n    ...(requestCounts != null && { requestCounts }),\n    ...(body.error != null && {\n      error: {\n        message: body.error.message,\n        ...(body.error.type != null && { type: body.error.type }),\n        ...(body.error.code != null && { code: body.error.code }),\n        ...(body.error.statusCode != null && {\n          statusCode: body.error.statusCode,\n        }),\n      },\n    }),\n    ...(body.createdAt != null && { createdAt: body.createdAt }),\n    ...(body.expiresAt != null && { expiresAt: body.expiresAt }),\n    ...(body.providerMetadata != null && {\n      providerMetadata: body.providerMetadata as SharedV4ProviderMetadata,\n    }),\n  };\n}\n\n/**\n * The spec's `requestCounts` requires all four counters; the Gateway's\n * persisted descriptor allows partial counts. Only forward counts when the\n * full set is present rather than fabricating zeros.\n */\nfunction convertGatewayBatchRequestCounts(\n  counts:\n    | {\n        total?: number | null;\n        pending?: number | null;\n        completed?: number | null;\n        failed?: number | null;\n      }\n    | null\n    | undefined,\n): BatchV4Status['requestCounts'] | undefined {\n  if (\n    counts == null ||\n    typeof counts.total !== 'number' ||\n    typeof counts.pending !== 'number' ||\n    typeof counts.completed !== 'number' ||\n    typeof counts.failed !== 'number'\n  ) {\n    return undefined;\n  }\n\n  return {\n    total: counts.total,\n    pending: counts.pending,\n    completed: counts.completed,\n    failed: counts.failed,\n  };\n}\n\n/**\n * Incremental NDJSON line splitter for the batch results stream: buffers\n * partial lines across chunks and flushes a trailing line without a final\n * newline. Each non-empty line is one `BatchV4ItemResult` JSON object.\n *\n * @param stream - The raw NDJSON byte stream from the batch results route.\n * @yields One minimally-validated `BatchV4ItemResult` per non-empty line.\n */\nasync function* parseGatewayBatchResultLines(\n  stream: ReadableStream<Uint8Array>,\n): AsyncGenerator<BatchV4ItemResult<LanguageModelV4GenerateResult>> {\n  const reader = stream.getReader();\n  const decoder = new TextDecoder();\n  let buffer = '';\n  let finished = false;\n\n  try {\n    while (true) {\n      const { done, value } = await reader.read();\n\n      if (done) {\n        finished = true;\n        buffer += decoder.decode();\n        break;\n      }\n\n      buffer += decoder.decode(value, { stream: true });\n\n      let lineEnd = buffer.indexOf('\\n');\n      while (lineEnd !== -1) {\n        const line = buffer.slice(0, lineEnd).replace(/\\r$/, '');\n        buffer = buffer.slice(lineEnd + 1);\n\n        if (line.trim().length > 0) {\n          yield await parseGatewayBatchResultLine(line);\n        }\n\n        lineEnd = buffer.indexOf('\\n');\n      }\n    }\n\n    const finalLine = buffer.replace(/\\r$/, '');\n    if (finalLine.trim().length > 0) {\n      yield await parseGatewayBatchResultLine(finalLine);\n    }\n  } finally {\n    if (!finished) {\n      await reader.cancel().catch(() => {});\n    }\n    reader.releaseLock();\n  }\n}\n\nasync function parseGatewayBatchResultLine(\n  line: string,\n): Promise<BatchV4ItemResult<LanguageModelV4GenerateResult>> {\n  // Minimal validation (id + status); items pass through otherwise — the\n  // Gateway already sanitizes them server-side.\n  const parsed = await parseJSON({\n    text: line,\n    schema: gatewayBatchItemResultLineSchema,\n  });\n  const item =\n    parsed as unknown as BatchV4ItemResult<LanguageModelV4GenerateResult>;\n  // JSON carries `response.timestamp` as an ISO string; core expects a Date\n  // (`GeneratedFile`-style consumers call `.toISOString()`).\n  if (item.status === 'succeeded') {\n    const response = item.result?.response;\n    if (response !== undefined && typeof response.timestamp === 'string') {\n      response.timestamp = new Date(response.timestamp);\n    }\n  }\n  return item;\n}\n\nconst gatewayBatchItemResultLineSchema = z\n  .object({\n    id: z.string(),\n    status: z.enum(['cancelled', 'expired', 'failed', 'succeeded']),\n  })\n  .catchall(z.unknown());\n\nconst gatewayBatchErrorSchema = z.object({\n  message: z.string(),\n  type: z.string().nullish(),\n  code: z.string().nullish(),\n  statusCode: z.number().nullish(),\n});\n\nconst gatewayBatchRequestCountsSchema = z.object({\n  total: z.number().nullish(),\n  pending: z.number().nullish(),\n  completed: z.number().nullish(),\n  failed: z.number().nullish(),\n});\n\nconst gatewayBatchProviderMetadataSchema = z.record(\n  z.string(),\n  z.record(z.string(), z.unknown()),\n);\n\nconst gatewayBatchStatusFieldsSchema = z.object({\n  status: z.enum(['completed', 'failed', 'pending']),\n  rawStatus: z.string().nullish(),\n  requestCounts: gatewayBatchRequestCountsSchema.nullish(),\n  error: gatewayBatchErrorSchema.nullish(),\n  createdAt: z.string().nullish(),\n  expiresAt: z.string().nullish(),\n  providerMetadata: gatewayBatchProviderMetadataSchema.nullish(),\n});\n\nconst gatewayBatchStartResponseSchema = gatewayBatchStatusFieldsSchema.extend({\n  batchId: z.string(),\n  warnings: z\n    .array(\n      z\n        .object({\n          requestId: z.string().nullish(),\n          warning: z.unknown(),\n        })\n        .catchall(z.unknown()),\n    )\n    .nullish(),\n});\n\nconst gatewayBatchStatusResponseSchema = gatewayBatchStatusFieldsSchema;\n", "import type {\n  LanguageModelV4,\n  LanguageModelV4CallOptions,\n  LanguageModelV4StreamPart,\n  LanguageModelV4GenerateResult,\n  LanguageModelV4StreamResult,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  postJsonToApi,\n  resolve,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type ParseResult,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport type { GatewayConfig } from './gateway-config';\nimport type { GatewayModelId } from './gateway-language-model-settings';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\nexport type GatewayChatConfig = GatewayConfig & {\n  provider: string;\n  o11yHeaders: Resolvable<Record<string, string>>;\n};\n\nexport class GatewayLanguageModel implements LanguageModelV4 {\n  readonly specificationVersion = 'v4';\n  readonly supportedUrls = { '*/*': [/.*/] };\n\n  static [WORKFLOW_SERIALIZE](model: GatewayLanguageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: GatewayModelId;\n    config: GatewayChatConfig;\n  }) {\n    return new GatewayLanguageModel(options.modelId, options.config);\n  }\n\n  constructor(\n    readonly modelId: GatewayModelId,\n    protected readonly config: GatewayChatConfig,\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private async getArgs(options: LanguageModelV4CallOptions) {\n    const { abortSignal: _abortSignal, ...optionsWithoutSignal } = options;\n\n    return {\n      args: this.maybeEncodeFileParts(optionsWithoutSignal),\n      warnings: [],\n    };\n  }\n\n  async doGenerate(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4GenerateResult> {\n    const { args, warnings } = await this.getArgs(options);\n    const { abortSignal } = options;\n\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue: rawResponse,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          options.headers,\n          this.getModelConfigHeaders(this.modelId, false),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: args,\n        successfulResponseHandler: createJsonResponseHandler(z.any()),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        ...responseBody,\n        request: { body: args },\n        response: { headers: responseHeaders, body: rawResponse },\n        warnings,\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  async doStream(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4StreamResult> {\n    const { args, warnings } = await this.getArgs(options);\n    const { abortSignal } = options;\n\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n\n    try {\n      const { value: response, responseHeaders } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          options.headers,\n          this.getModelConfigHeaders(this.modelId, true),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: args,\n        successfulResponseHandler: createEventSourceResponseHandler(z.any()),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        stream: response.pipeThrough(\n          new TransformStream<\n            ParseResult<LanguageModelV4StreamPart>,\n            LanguageModelV4StreamPart\n          >({\n            start(controller) {\n              if (warnings.length > 0) {\n                controller.enqueue({ type: 'stream-start', warnings });\n              }\n            },\n            transform(chunk, controller) {\n              if (chunk.success) {\n                const streamPart = chunk.value;\n\n                // Handle raw chunks: if this is a raw chunk from the gateway API,\n                // only emit it if includeRawChunks is true\n                if (streamPart.type === 'raw' && !options.includeRawChunks) {\n                  return; // Skip raw chunks if not requested\n                }\n\n                if (\n                  streamPart.type === 'response-metadata' &&\n                  streamPart.timestamp &&\n                  typeof streamPart.timestamp === 'string'\n                ) {\n                  streamPart.timestamp = new Date(streamPart.timestamp);\n                }\n\n                controller.enqueue(streamPart);\n              } else {\n                controller.error(\n                  (chunk as { success: false; error: unknown }).error,\n                );\n              }\n            },\n          }),\n        ),\n        request: { body: args },\n        response: { headers: responseHeaders },\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  /**\n   * Encodes inline `Uint8Array` file data to a base64 string in place.\n   * @param options - The options to encode.\n   * @returns The options with the file data encoded.\n   */\n  protected maybeEncodeFileParts<\n    T extends Pick<LanguageModelV4CallOptions, 'prompt'>,\n  >(options: T): T {\n    for (const message of options.prompt) {\n      if (!Array.isArray(message.content)) {\n        continue;\n      }\n      for (const part of message.content) {\n        if (part.type === 'file' || part.type === 'reasoning-file') {\n          part.data = maybeBase64EncodeFileData(part.data);\n        } else if (\n          part.type === 'tool-result' &&\n          part.output.type === 'content'\n        ) {\n          for (const contentPart of part.output.value) {\n            if (contentPart.type === 'file') {\n              contentPart.data = maybeBase64EncodeFileData(contentPart.data);\n            }\n          }\n        }\n      }\n    }\n    return options;\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/language-model`;\n  }\n\n  private getModelConfigHeaders(modelId: string, streaming: boolean) {\n    return {\n      'ai-language-model-specification-version': '4',\n      'ai-language-model-id': modelId,\n      'ai-language-model-streaming': String(streaming),\n    };\n  }\n}\n\nfunction maybeBase64EncodeFileData<T extends { type: string }>(data: T): T {\n  if (data.type === 'data') {\n    const bytes = (data as { data?: unknown }).data;\n    if (bytes instanceof Uint8Array) {\n      return { ...data, data: Buffer.from(bytes).toString('base64') } as T;\n    }\n  }\n  return data;\n}\n", "import type {\n  EmbeddingModelV4,\n  SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  lazySchema,\n  postJsonToApi,\n  resolve,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  zodSchema,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport type { GatewayConfig } from './gateway-config';\n\ntype GatewayEmbeddingConfig = GatewayConfig & {\n  provider: string;\n  o11yHeaders: Resolvable<Record<string, string>>;\n};\n\nexport class GatewayEmbeddingModel implements EmbeddingModelV4 {\n  readonly specificationVersion = 'v4';\n  readonly maxEmbeddingsPerCall = 2048;\n  readonly supportsParallelCalls = true;\n\n  static [WORKFLOW_SERIALIZE](model: GatewayEmbeddingModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: GatewayEmbeddingConfig;\n  }) {\n    return new GatewayEmbeddingModel(options.modelId, options.config);\n  }\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayEmbeddingConfig,\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doEmbed({\n    values,\n    headers,\n    abortSignal,\n    providerOptions,\n  }: Parameters<EmbeddingModelV4['doEmbed']>[0]): Promise<\n    Awaited<ReturnType<EmbeddingModelV4['doEmbed']>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          values,\n          ...(providerOptions ? { providerOptions } : {}),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayEmbeddingResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        embeddings: responseBody.embeddings,\n        usage: responseBody.usage ?? undefined,\n        providerMetadata:\n          responseBody.providerMetadata as unknown as SharedV4ProviderMetadata,\n        response: { headers: responseHeaders, body: rawValue },\n        warnings: responseBody.warnings ?? [],\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/embedding-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-embedding-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nconst gatewayEmbeddingWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewayEmbeddingResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      embeddings: z.array(z.array(z.number())),\n      usage: z.object({ tokens: z.number() }).nullish(),\n      warnings: z.array(gatewayEmbeddingWarningSchema).optional(),\n      providerMetadata: z\n        .record(z.string(), z.record(z.string(), z.unknown()))\n        .optional(),\n    }),\n  ),\n);\n", "import type {\n  ImageModelV4,\n  ImageModelV4File,\n  ImageModelV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertUint8ArrayToBase64,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  postJsonToApi,\n  resolve,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport type { GatewayConfig } from './gateway-config';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\ntype GatewayImageConfig = GatewayConfig & {\n  provider: string;\n  o11yHeaders: Resolvable<Record<string, string>>;\n};\n\nexport class GatewayImageModel implements ImageModelV4 {\n  readonly specificationVersion = 'v4' as const;\n  // Set a very large number to prevent client-side splitting of requests\n  readonly maxImagesPerCall = Number.MAX_SAFE_INTEGER;\n\n  static [WORKFLOW_SERIALIZE](model: GatewayImageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: GatewayImageConfig;\n  }) {\n    return new GatewayImageModel(options.modelId, options.config);\n  }\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayImageConfig,\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    aspectRatio,\n    seed,\n    files,\n    mask,\n    providerOptions,\n    headers,\n    abortSignal,\n  }: Parameters<ImageModelV4['doGenerate']>[0]): Promise<\n    Awaited<ReturnType<ImageModelV4['doGenerate']>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const { responseHeaders, value: responseBody } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          prompt,\n          n,\n          ...(size && { size }),\n          ...(aspectRatio && { aspectRatio }),\n          ...(seed && { seed }),\n          ...(providerOptions && { providerOptions }),\n          ...(files && {\n            files: files.map(file => maybeEncodeImageFile(file)),\n          }),\n          ...(mask && { mask: maybeEncodeImageFile(mask) }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayImageResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        images: responseBody.images, // Always base64 strings from server\n        warnings: responseBody.warnings ?? [],\n        providerMetadata:\n          responseBody.providerMetadata as ImageModelV4ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n        },\n        ...(responseBody.usage != null && {\n          usage: {\n            inputTokens: responseBody.usage.inputTokens ?? undefined,\n            outputTokens: responseBody.usage.outputTokens ?? undefined,\n            totalTokens: responseBody.usage.totalTokens ?? undefined,\n          },\n        }),\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/image-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-image-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nfunction maybeEncodeImageFile(file: ImageModelV4File) {\n  if (file.type === 'file' && file.data instanceof Uint8Array) {\n    return {\n      ...file,\n      data: convertUint8ArrayToBase64(file.data),\n    };\n  }\n  return file;\n}\n\nconst providerMetadataEntrySchema = z\n  .object({\n    images: z.array(z.unknown()).optional(),\n  })\n  .catchall(z.unknown());\n\nconst gatewayImageWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewayImageUsageSchema = z.object({\n  inputTokens: z.number().nullish(),\n  outputTokens: z.number().nullish(),\n  totalTokens: z.number().nullish(),\n});\n\nconst gatewayImageResponseSchema = z.object({\n  images: z.array(z.string()), // Always base64 strings over the wire\n  warnings: z.array(gatewayImageWarningSchema).optional(),\n  providerMetadata: z\n    .record(z.string(), providerMetadataEntrySchema)\n    .optional(),\n  usage: gatewayImageUsageSchema.optional(),\n});\n", "import {\n  APICallError,\n  getErrorMessage,\n  type Experimental_VideoModelV4 as VideoModelV4,\n  type Experimental_VideoModelV4CallOptions as VideoModelV4CallOptions,\n  type Experimental_VideoModelV4File as VideoModelV4File,\n  type Experimental_VideoModelV4OperationStartResult as VideoModelV4OperationStartResult,\n  type Experimental_VideoModelV4OperationStatusResult as VideoModelV4OperationStatusResult,\n  type Experimental_VideoModelV4OperationWebhook as VideoModelV4OperationWebhook,\n  type Experimental_VideoModelV4VideoData as VideoModelV4VideoData,\n  type JSONValue,\n  type SharedV4ProviderMetadata,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertUint8ArrayToBase64,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  parseJsonEventStream,\n  postJsonToApi,\n  resolve,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport type { GatewayConfig } from './gateway-config';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\nexport class GatewayVideoModel implements VideoModelV4 {\n  readonly specificationVersion = 'v4' as const;\n  // Set a very large number to prevent client-side splitting of requests\n  readonly maxVideosPerCall = Number.MAX_SAFE_INTEGER;\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doGenerate(options: VideoModelV4CallOptions): Promise<{\n    videos: Array<VideoModelV4VideoData>;\n    warnings: Array<SharedV4Warning>;\n    providerMetadata?: SharedV4ProviderMetadata;\n    response: {\n      timestamp: Date;\n      modelId: string;\n      headers: Record<string, string> | undefined;\n    };\n  }> {\n    const { headers, abortSignal } = options;\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const { responseHeaders, value: responseBody } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n          { accept: 'text/event-stream' },\n        ),\n        body: this.buildRequestBody(options),\n        successfulResponseHandler: async ({\n          response,\n          url,\n          requestBodyValues,\n        }: {\n          url: string;\n          requestBodyValues: unknown;\n          response: Response;\n        }) => {\n          if (response.body == null) {\n            throw new APICallError({\n              message: 'SSE response body is empty',\n              url,\n              requestBodyValues,\n              statusCode: response.status,\n            });\n          }\n\n          const eventStream = parseJsonEventStream({\n            stream: response.body,\n            schema: gatewayVideoEventSchema,\n          });\n\n          const reader = eventStream.getReader();\n          const { done, value: parseResult } = await reader.read();\n          reader.releaseLock();\n\n          if (done || !parseResult) {\n            throw new APICallError({\n              message: 'SSE stream ended without a data event',\n              url,\n              requestBodyValues,\n              statusCode: response.status,\n            });\n          }\n\n          if (!parseResult.success) {\n            throw new APICallError({\n              message: 'Failed to parse video SSE event',\n              cause: parseResult.error,\n              url,\n              requestBodyValues,\n              statusCode: response.status,\n            });\n          }\n\n          const event = parseResult.value;\n\n          if (event.type === 'error') {\n            throw new APICallError({\n              message: event.message,\n              statusCode: event.statusCode,\n              url,\n              requestBodyValues,\n              responseHeaders: Object.fromEntries([...response.headers]),\n              responseBody: JSON.stringify(event),\n              data: {\n                error: {\n                  message: event.message,\n                  type: event.errorType,\n                  param: event.param,\n                },\n              },\n            });\n          }\n\n          // event.type === 'result'\n          return {\n            value: {\n              videos: event.videos,\n              warnings: event.warnings,\n              providerMetadata: event.providerMetadata,\n            },\n            responseHeaders: Object.fromEntries([...response.headers]),\n          };\n        },\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        videos: responseBody.videos,\n        warnings: responseBody.warnings ?? [],\n        providerMetadata: (responseBody.providerMetadata ??\n          undefined) as SharedV4ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n        },\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  // The Gateway notifies the caller's URL on completion (`doStart` maps it to\n  // `callbackUrl`), so the factory's URL and `received` pass straight through.\n  async handleWebhookOption({\n    webhook,\n  }: {\n    webhook: () => PromiseLike<{\n      url: string;\n      received: PromiseLike<VideoModelV4OperationWebhook>;\n    }>;\n  }): Promise<{\n    webhookUrl: string;\n    received: PromiseLike<VideoModelV4OperationWebhook>;\n  }> {\n    const { url, received } = await webhook();\n    return { webhookUrl: url, received };\n  }\n\n  async doStart(\n    options: VideoModelV4CallOptions & {\n      webhookUrl?: string;\n    },\n  ): Promise<VideoModelV4OperationStartResult> {\n    const { headers, abortSignal, webhookUrl } = options;\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const { responseHeaders, value: responseBody } = await postJsonToApi({\n        url: this.getStartUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          ...this.buildRequestBody(options),\n          // The spec option is `webhookUrl`; the Gateway's wire contract for a\n          // completion webhook is `callbackUrl`.\n          ...(webhookUrl && { callbackUrl: webhookUrl }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayVideoStartResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        operation: responseBody.operation as JSONValue,\n        warnings: responseBody.warnings ?? [],\n        providerMetadata: (responseBody.providerMetadata ??\n          undefined) as SharedV4ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n        },\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  async doStatus({\n    operation,\n    abortSignal,\n    headers,\n  }: {\n    operation: JSONValue;\n    abortSignal?: AbortSignal;\n    headers?: Record<string, string | undefined>;\n  }): Promise<VideoModelV4OperationStatusResult> {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const { responseHeaders, value: responseBody } = await postJsonToApi({\n        url: this.getStatusUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: { operation },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayVideoStatusResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      const response = {\n        timestamp: new Date(),\n        modelId: this.modelId,\n        headers: responseHeaders,\n      };\n\n      if (responseBody.status === 'completed') {\n        return {\n          status: 'completed',\n          videos: responseBody.videos,\n          warnings: responseBody.warnings ?? [],\n          providerMetadata: (responseBody.providerMetadata ??\n            undefined) as SharedV4ProviderMetadata,\n          response,\n        };\n      }\n\n      if (responseBody.status === 'error') {\n        return {\n          status: 'error',\n          error: responseBody.error,\n          providerMetadata: (responseBody.providerMetadata ??\n            undefined) as SharedV4ProviderMetadata,\n          response,\n        };\n      }\n\n      // The Gateway reports cooperative cancellation as its own terminal\n      // status; the v4 operation union has no cancelled state, so surface it\n      // as a terminal error rather than polling forever.\n      if (responseBody.status === 'cancelled') {\n        return {\n          status: 'error',\n          error: 'Video generation was cancelled.',\n          providerMetadata: (responseBody.providerMetadata ??\n            undefined) as SharedV4ProviderMetadata,\n          response,\n        };\n      }\n\n      return {\n        status: 'pending',\n        warnings: responseBody.warnings ?? [],\n        providerMetadata: (responseBody.providerMetadata ??\n          undefined) as SharedV4ProviderMetadata,\n        response,\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private buildRequestBody({\n    prompt,\n    n,\n    aspectRatio,\n    resolution,\n    duration,\n    fps,\n    seed,\n    generateAudio,\n    image,\n    frameImages,\n    inputReferences,\n    providerOptions,\n  }: VideoModelV4CallOptions) {\n    return {\n      prompt,\n      n,\n      ...(aspectRatio && { aspectRatio }),\n      ...(resolution && { resolution }),\n      ...(duration && { duration }),\n      ...(fps && { fps }),\n      ...(seed && { seed }),\n      ...(generateAudio !== undefined && { generateAudio }),\n      ...(providerOptions && { providerOptions }),\n      ...(image && { image: maybeEncodeVideoFile(image) }),\n      ...(frameImages && {\n        frameImages: frameImages.map(frame => ({\n          ...frame,\n          image: maybeEncodeVideoFile(frame.image),\n        })),\n      }),\n      ...(inputReferences && {\n        inputReferences: inputReferences.map(reference =>\n          maybeEncodeVideoFile(reference),\n        ),\n      }),\n    };\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/video-model`;\n  }\n\n  private getStartUrl() {\n    return `${this.config.baseURL}/video-model/start`;\n  }\n\n  private getStatusUrl() {\n    return `${this.config.baseURL}/video-model/status`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-video-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nfunction maybeEncodeVideoFile(file: VideoModelV4File) {\n  if (file.type === 'file' && file.data instanceof Uint8Array) {\n    return {\n      ...file,\n      data: convertUint8ArrayToBase64(file.data),\n    };\n  }\n  return file;\n}\n\nconst providerMetadataEntrySchema = z\n  .object({\n    videos: z.array(z.unknown()).optional(),\n  })\n  .catchall(z.unknown());\n\nconst gatewayVideoDataSchema = z.union([\n  z.object({\n    type: z.literal('url'),\n    url: z.string(),\n    mediaType: z.string(),\n  }),\n  z.object({\n    type: z.literal('base64'),\n    data: z.string(),\n    mediaType: z.string(),\n  }),\n]);\n\nconst gatewayVideoWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewayVideoEventSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('result'),\n    videos: z.array(gatewayVideoDataSchema),\n    warnings: z.array(gatewayVideoWarningSchema).optional(),\n    providerMetadata: z\n      .record(z.string(), providerMetadataEntrySchema)\n      .optional(),\n  }),\n  z.object({\n    type: z.literal('error'),\n    message: z.string(),\n    errorType: z.string(),\n    statusCode: z.number(),\n    param: z.unknown().nullable(),\n  }),\n]);\n\nconst gatewayVideoStartResponseSchema = z.object({\n  operation: z.unknown(),\n  warnings: z.array(gatewayVideoWarningSchema).nullish(),\n  providerMetadata: z.record(z.string(), providerMetadataEntrySchema).nullish(),\n});\n\nconst gatewayVideoStatusResponseSchema = z.discriminatedUnion('status', [\n  z.object({\n    status: z.literal('pending'),\n    warnings: z.array(gatewayVideoWarningSchema).nullish(),\n    providerMetadata: z\n      .record(z.string(), providerMetadataEntrySchema)\n      .nullish(),\n  }),\n  z.object({\n    status: z.literal('completed'),\n    videos: z.array(gatewayVideoDataSchema),\n    warnings: z.array(gatewayVideoWarningSchema).nullish(),\n    providerMetadata: z\n      .record(z.string(), providerMetadataEntrySchema)\n      .nullish(),\n  }),\n  z.object({\n    status: z.literal('error'),\n    error: z.string(),\n    providerMetadata: z\n      .record(z.string(), providerMetadataEntrySchema)\n      .nullish(),\n  }),\n  z.object({\n    status: z.literal('cancelled'),\n    providerMetadata: z\n      .record(z.string(), providerMetadataEntrySchema)\n      .nullish(),\n  }),\n]);\n", "import type {\n  RerankingModelV4,\n  SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  lazySchema,\n  postJsonToApi,\n  resolve,\n  zodSchema,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport type { GatewayConfig } from './gateway-config';\n\nexport class GatewayRerankingModel implements RerankingModelV4 {\n  readonly specificationVersion = 'v4';\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doRerank({\n    documents,\n    query,\n    topN,\n    headers,\n    abortSignal,\n    providerOptions,\n  }: Parameters<RerankingModelV4['doRerank']>[0]): Promise<\n    Awaited<ReturnType<RerankingModelV4['doRerank']>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          documents,\n          query,\n          ...(topN != null ? { topN } : {}),\n          ...(providerOptions ? { providerOptions } : {}),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayRerankingResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        ranking: responseBody.ranking,\n        providerMetadata:\n          responseBody.providerMetadata as unknown as SharedV4ProviderMetadata,\n        response: { headers: responseHeaders, body: rawValue },\n        warnings: responseBody.warnings ?? [],\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/reranking-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-reranking-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nconst gatewayRerankingWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewayRerankingResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      ranking: z.array(\n        z.object({\n          index: z.number(),\n          relevanceScore: z.number(),\n        }),\n      ),\n      warnings: z.array(gatewayRerankingWarningSchema).optional(),\n      providerMetadata: z\n        .record(z.string(), z.record(z.string(), z.unknown()))\n        .optional(),\n    }),\n  ),\n);\n", "import type {\n  SharedV4ProviderMetadata,\n  SharedV4Warning,\n  SpeechModelV4,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getErrorMessage,\n  postJsonToApi,\n  resolve,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport type { GatewayConfig } from './gateway-config';\n\nexport class GatewaySpeechModel implements SpeechModelV4 {\n  readonly specificationVersion = 'v4' as const;\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doGenerate({\n    text,\n    voice,\n    outputFormat,\n    instructions,\n    speed,\n    language,\n    providerOptions,\n    headers,\n    abortSignal,\n  }: Parameters<SpeechModelV4['doGenerate']>[0]): Promise<\n    Awaited<ReturnType<SpeechModelV4['doGenerate']>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          text,\n          ...(voice && { voice }),\n          ...(outputFormat && { outputFormat }),\n          ...(instructions && { instructions }),\n          ...(speed != null && { speed }),\n          ...(language && { language }),\n          ...(providerOptions && { providerOptions }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewaySpeechResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        audio: responseBody.audio,\n        warnings: (responseBody.warnings ?? []) as Array<SharedV4Warning>,\n        providerMetadata:\n          responseBody.providerMetadata as SharedV4ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n          body: rawValue,\n        },\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/speech-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-speech-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nconst providerMetadataEntrySchema = z.object({}).catchall(z.unknown());\n\nconst gatewaySpeechWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewaySpeechResponseSchema = z.object({\n  audio: z.string(),\n  warnings: z.array(gatewaySpeechWarningSchema).optional(),\n  providerMetadata: z\n    .record(z.string(), providerMetadataEntrySchema)\n    .optional(),\n});\n", "import {\n  getErrorMessage,\n  type Experimental_TranscriptionModelV4StreamOptions as TranscriptionModelV4StreamOptions,\n  type Experimental_TranscriptionModelV4StreamPart as TranscriptionModelV4StreamPart,\n  type Experimental_TranscriptionModelV4StreamResult as TranscriptionModelV4StreamResult,\n  type SharedV4ProviderMetadata,\n  type SharedV4Warning,\n  type TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  convertUint8ArrayToBase64,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  connectToWebSocket,\n  normalizeHeaders,\n  experimental_parseTranscriptionStreamPart as parseTranscriptionStreamPart,\n  postJsonToApi,\n  resolve,\n  EXPERIMENTAL_TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE as TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE,\n  waitForWebSocketBufferDrain,\n  EXPERIMENTAL_TRANSCRIPTION_STREAM_START_FRAME_TYPE as TRANSCRIPTION_STREAM_START_FRAME_TYPE,\n  type Experimental_TranscriptionStreamStartFrame,\n  type Resolvable,\n  type WebSocketConnection,\n  type WebSocketConstructor,\n  type WebSocketLike,\n} from '@ai-sdk/provider-utils';\nimport { z } from './zod';\nimport { asGatewayError, createGatewayErrorFromResponse } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport type { GatewayConfig } from './gateway-config';\nimport { VERCEL_AI_GATEWAY_TEAM_HEADER } from './gateway-headers';\nimport {\n  GATEWAY_TRANSCRIPTION_SUBPROTOCOL,\n  getGatewayTranscriptionProtocols,\n} from './gateway-realtime-auth';\n\nexport class GatewayTranscriptionModel implements TranscriptionModelV4 {\n  readonly specificationVersion = 'v4' as const;\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n      _internal?: {\n        currentDate?: () => Date;\n      };\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doGenerate({\n    audio,\n    mediaType,\n    providerOptions,\n    headers,\n    abortSignal,\n  }: Parameters<TranscriptionModelV4['doGenerate']>[0]): Promise<\n    Awaited<ReturnType<TranscriptionModelV4['doGenerate']>>\n  > {\n    const resolvedHeaders = this.config.headers\n      ? await resolve(this.config.headers)\n      : undefined;\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          audio:\n            audio instanceof Uint8Array\n              ? convertUint8ArrayToBase64(audio)\n              : audio,\n          mediaType,\n          ...(providerOptions && { providerOptions }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayTranscriptionResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => getErrorMessage(data) ?? 'unknown error',\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        text: responseBody.text,\n        segments: responseBody.segments ?? [],\n        language: responseBody.language ?? undefined,\n        durationInSeconds: responseBody.durationInSeconds ?? undefined,\n        warnings: (responseBody.warnings ?? []) as Array<SharedV4Warning>,\n        providerMetadata:\n          responseBody.providerMetadata as SharedV4ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n          body: rawValue,\n        },\n      };\n    } catch (error) {\n      throw await asGatewayError(\n        error,\n        await parseAuthMethod(resolvedHeaders ?? {}),\n      );\n    }\n  }\n\n  async doStream(\n    options: TranscriptionModelV4StreamOptions,\n  ): Promise<TranscriptionModelV4StreamResult> {\n    const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n\n    const headers = combineHeaders(\n      await resolve(this.config.headers ?? {}),\n      options.headers ?? {},\n      this.getModelConfigHeaders(),\n      await resolve(this.config.o11yHeaders),\n    );\n    const authMethod = await parseAuthMethod(headers);\n\n    // First frame after the WebSocket opens, per the transcription-stream\n    // envelope. Optional keys are omitted so the frame stays minimal.\n    const startFrame: Experimental_TranscriptionStreamStartFrame = {\n      type: TRANSCRIPTION_STREAM_START_FRAME_TYPE,\n      inputAudioFormat: options.inputAudioFormat,\n      ...(options.providerOptions != null && {\n        providerOptions: options.providerOptions,\n      }),\n      ...(options.includeRawChunks != null && {\n        includeRawChunks: options.includeRawChunks,\n      }),\n    };\n\n    return {\n      stream: createGatewayTranscriptionStream({\n        webSocket: this.config.webSocket,\n        url: toGatewayTranscriptionUrl(this.config.baseURL, this.modelId),\n        protocols: getProtocolsFromHeaders(headers),\n        headers,\n        startFrame,\n        audio: options.audio,\n        abortSignal: options.abortSignal,\n        authMethod,\n      }),\n      request: { body: startFrame },\n      response: { timestamp: currentDate, modelId: this.modelId },\n    };\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/transcription-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-transcription-model-specification-version': '4',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\n/**\n * Gateway streaming transcription WebSocket URL: HTTP(S) base upgraded to\n * WS(S), model id in `?ai-model-id=` (browser `WebSocket` cannot set headers;\n * slash-safe for qualified ids like `openai/gpt-realtime-whisper`).\n */\nexport function toGatewayTranscriptionUrl(\n  baseURL: string,\n  modelId: string,\n): string {\n  const url = new URL(`${baseURL.replace(/^http/, 'ws')}/transcription-model`);\n  url.searchParams.set('ai-model-id', modelId);\n  return url.toString();\n}\n\n/**\n * Auth-carrying subprotocols from the resolved request headers (bearer token\n * + optional team scope). Native `WebSocket` cannot send headers, so auth\n * rides the `Sec-WebSocket-Protocol` handshake. Header lookups are\n * case-insensitive because `combineHeaders` does not normalize casing and\n * callers can pass arbitrary casing via the `headers` option.\n */\nfunction getProtocolsFromHeaders(\n  headers: Record<string, string | undefined>,\n): string[] {\n  const normalizedHeaders = normalizeHeaders(headers);\n  const authorization = normalizedHeaders.authorization;\n  const token = authorization?.startsWith('Bearer ')\n    ? authorization.slice('Bearer '.length)\n    : undefined;\n\n  return token == null\n    ? [GATEWAY_TRANSCRIPTION_SUBPROTOCOL]\n    : getGatewayTranscriptionProtocols(token, {\n        teamIdOrSlug: normalizedHeaders[VERCEL_AI_GATEWAY_TEAM_HEADER],\n      });\n}\n\n/** Audio frames stay under server frame-size limits (envelope rule 7). */\nconst MAX_AUDIO_FRAME_BYTES = 64 * 1024;\n\nfunction createGatewayTranscriptionStream({\n  webSocket,\n  url,\n  protocols,\n  headers,\n  startFrame,\n  audio,\n  abortSignal,\n  authMethod,\n}: {\n  webSocket: WebSocketConstructor | undefined;\n  url: string;\n  protocols: string[];\n  headers: Record<string, string | undefined>;\n  startFrame: Experimental_TranscriptionStreamStartFrame;\n  audio: ReadableStream<Uint8Array | string>;\n  abortSignal: AbortSignal | undefined;\n  authMethod: 'api-key' | 'oidc' | undefined;\n}): ReadableStream<TranscriptionModelV4StreamPart> {\n  let finished = false;\n  let cleanup: (closeCode?: number) => void = () => {};\n\n  return new ReadableStream<TranscriptionModelV4StreamPart>({\n    start: controller => {\n      let audioReader:\n        | ReadableStreamDefaultReader<Uint8Array | string>\n        | undefined;\n      let hasServerErrorPart = false;\n      let lastServerError: unknown;\n      let audioStopped = false;\n      let connection: WebSocketConnection | undefined;\n\n      cleanup = (closeCode?: number) => {\n        if (audioReader != null) {\n          void audioReader.cancel().catch(() => {});\n        } else {\n          // Pre-open failure or abort: `sendAudio` never took a reader, so\n          // cancel the caller's audio stream directly — otherwise an upstream\n          // producer piping into it hangs.\n          void audio.cancel().catch(() => {});\n        }\n        connection?.close(closeCode);\n      };\n\n      const stopAudio = () => {\n        audioStopped = true;\n        if (audioReader != null) {\n          void audioReader.cancel().catch(() => {});\n          audioReader = undefined;\n        } else {\n          void audio.cancel().catch(() => {});\n        }\n      };\n\n      const finishWithError = (error: unknown) => {\n        if (finished) return;\n        finished = true;\n        cleanup();\n        void errorControllerWithGatewayError(controller, error, authMethod);\n      };\n\n      const sendAudio = async (socket: WebSocketLike) => {\n        const reader = audio.getReader();\n        audioReader = reader;\n        try {\n          while (true) {\n            const { done, value } = await reader.read();\n            if (done || finished) break;\n            // Binary frames; base64 string chunks are decoded first. Caller\n            // chunks are split to stay under server frame-size limits\n            // (envelope rule 7), with backpressure between frames.\n            const bytes =\n              typeof value === 'string'\n                ? convertBase64ToUint8Array(value)\n                : value;\n            for (\n              let offset = 0;\n              offset < bytes.length;\n              offset += MAX_AUDIO_FRAME_BYTES\n            ) {\n              if (finished) break;\n              socket.send(\n                bytes.subarray(offset, offset + MAX_AUDIO_FRAME_BYTES),\n              );\n              await waitForWebSocketBufferDrain(socket);\n            }\n          }\n        } finally {\n          reader.releaseLock();\n          // unlocked again: cleanup must cancel `audio`, not the reader\n          if (audioReader === reader) {\n            audioReader = undefined;\n          }\n        }\n        if (!finished && !audioStopped) {\n          socket.send(\n            JSON.stringify({\n              type: TRANSCRIPTION_STREAM_AUDIO_DONE_FRAME_TYPE,\n            }),\n          );\n        }\n      };\n\n      connection = connectToWebSocket({\n        url,\n        protocols,\n        headers,\n        webSocket,\n        abortSignal,\n        onAbort: reason => {\n          if (finished) return;\n          finished = true;\n          cleanup();\n          controller.error(reason);\n        },\n        onProcessingError: finishWithError,\n        onOpen: socket => {\n          socket.send(JSON.stringify(startFrame));\n          void sendAudio(socket).catch(finishWithError);\n        },\n        // Server frames are envelope-serialized stream parts; the codec\n        // handles parsing, unknown-part skipping, and timestamp revival.\n        onMessageText: text => {\n          if (finished) return;\n          const part = parseTranscriptionStreamPart(text);\n          if (part == null) return;\n          if (part.type === 'finish') {\n            finished = true;\n            controller.enqueue(part);\n            controller.close();\n            cleanup(1000);\n            return;\n          }\n\n          if (part.type === 'error') {\n            // Remembered so the terminal close error (the server closes\n            // non-1000 after an error part) surfaces the server's message\n            // to promise-based consumers.\n            hasServerErrorPart = true;\n            lastServerError = part.error;\n            // envelope rule 5: error parts are terminal — stop sending audio\n            // while the server holds the connection open (e.g. for its final\n            // billing flush)\n            stopAudio();\n          }\n\n          controller.enqueue(part);\n        },\n        onSocketError: () => {\n          finishWithError(\n            new Error('Connection error on AI Gateway transcription stream'),\n          );\n        },\n        onClose: () => {\n          if (hasServerErrorPart) {\n            if (finished) return;\n            void createErrorFromServerErrorPart(\n              lastServerError,\n              authMethod,\n            ).then(finishWithError);\n            return;\n          }\n          finishWithError(\n            new Error(\n              'AI Gateway transcription stream closed before a finish part was received',\n            ),\n          );\n        },\n      });\n    },\n\n    cancel: () => {\n      if (finished) return;\n      finished = true;\n      cleanup();\n    },\n  });\n}\n\nconst providerMetadataEntrySchema = z.object({}).catchall(z.unknown());\n\nconst gatewayTranscriptionWarningSchema = z.discriminatedUnion('type', [\n  z.object({\n    type: z.literal('unsupported'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('compatibility'),\n    feature: z.string(),\n    details: z.string().optional(),\n  }),\n  z.object({\n    type: z.literal('deprecated'),\n    setting: z.string(),\n    message: z.string(),\n  }),\n  z.object({\n    type: z.literal('other'),\n    message: z.string(),\n  }),\n]);\n\nconst gatewayTranscriptionResponseSchema = z.object({\n  text: z.string(),\n  segments: z\n    .array(\n      z.object({\n        text: z.string(),\n        startSecond: z.number(),\n        endSecond: z.number(),\n      }),\n    )\n    .optional(),\n  language: z.string().nullish(),\n  durationInSeconds: z.number().nullish(),\n  warnings: z.array(gatewayTranscriptionWarningSchema).optional(),\n  providerMetadata: z\n    .record(z.string(), providerMetadataEntrySchema)\n    .optional(),\n});\n\n/**\n * `asGatewayError` is async while the WebSocket event handlers are\n * synchronous, hence this helper.\n */\nasync function errorControllerWithGatewayError(\n  controller: ReadableStreamDefaultController<TranscriptionModelV4StreamPart>,\n  error: unknown,\n  authMethod: 'api-key' | 'oidc' | undefined,\n): Promise<void> {\n  controller.error(await asGatewayError(error, authMethod));\n}\n\n/**\n * Extract a human-readable message from an `error` stream part's payload for\n * the terminal close error.\n */\nfunction getServerErrorMessage(error: unknown): string {\n  if (\n    error != null &&\n    typeof error === 'object' &&\n    'message' in error &&\n    typeof error.message === 'string'\n  ) {\n    return error.message;\n  }\n  // JSON-stringifies object payloads (`String` would yield '[object Object]').\n  return getErrorMessage(error);\n}\n\n/** Canonical status codes for server error-part types (no HTTP status exists on the WebSocket). */\nconst SERVER_ERROR_STATUS_CODES: Record<string, number> = {\n  authentication_error: 401,\n  failed_dependency: 424,\n  forbidden: 403,\n  internal_server_error: 500,\n  invalid_request_error: 400,\n  model_not_found: 404,\n  rate_limit_exceeded: 429,\n};\n\n/**\n * Maps a server error-part payload (`{ message, type }`) to the public\n * Gateway error class for its type; unknown shapes keep the generic message.\n */\nasync function createErrorFromServerErrorPart(\n  error: unknown,\n  authMethod: 'api-key' | 'oidc' | undefined,\n): Promise<unknown> {\n  if (\n    typeof error === 'object' &&\n    error != null &&\n    'message' in error &&\n    typeof error.message === 'string' &&\n    'type' in error &&\n    typeof error.type === 'string' &&\n    error.type in SERVER_ERROR_STATUS_CODES\n  ) {\n    return createGatewayErrorFromResponse({\n      response: { error: { message: error.message, type: error.type } },\n      statusCode: SERVER_ERROR_STATUS_CODES[error.type],\n      authMethod,\n    });\n  }\n  return new Error(\n    `AI Gateway transcription stream failed: ${getServerErrorMessage(error)}`,\n  );\n}\n", "import type {\n  Experimental_RealtimeModelV4 as RealtimeModelV4,\n  Experimental_RealtimeModelV4ClientEvent as RealtimeModelV4ClientEvent,\n  Experimental_RealtimeModelV4ClientSecretOptions as RealtimeModelV4ClientSecretOptions,\n  Experimental_RealtimeModelV4ClientSecretResult as RealtimeModelV4ClientSecretResult,\n  Experimental_RealtimeModelV4ServerEvent as RealtimeModelV4ServerEvent,\n  Experimental_RealtimeModelV4SessionConfig as RealtimeModelV4SessionConfig,\n} from '@ai-sdk/provider';\nimport { getGatewayRealtimeProtocols } from './gateway-realtime-auth';\n\nexport type GatewayRealtimeModelConfig = {\n  provider: string;\n  baseURL: string;\n  teamIdOrSlug?: string;\n  /**\n   * Mints a short-lived client secret (`vcst_`) for this model via the\n   * Gateway's `/v1/realtime/client-secrets` endpoint. Implemented by the\n   * provider because minting requires the long-lived Gateway credential\n   * (API key / OIDC) and must run server-side.\n   */\n  createClientSecret: (params: {\n    modelId: string;\n    expiresAfterSeconds?: number;\n  }) => PromiseLike<{ token: string; expiresAt?: number }>;\n};\n\n/**\n * Realtime model backed by the AI Gateway.\n *\n * The Gateway normalizes realtime exactly like it normalizes every other\n * modality: the client speaks the normalized AI SDK realtime protocol and the\n * Gateway translates to and from the upstream provider server-side. This model\n * is therefore a thin identity codec over that normalized protocol — only the\n * connection and authentication are Gateway-specific.\n */\nexport class GatewayRealtimeModel implements RealtimeModelV4 {\n  readonly specificationVersion = 'v4' as const;\n  readonly provider: string;\n  readonly modelId: string;\n\n  private readonly config: GatewayRealtimeModelConfig;\n\n  constructor(modelId: string, config: GatewayRealtimeModelConfig) {\n    this.modelId = modelId;\n    this.provider = config.provider;\n    this.config = config;\n  }\n\n  /**\n   * Mints a single-use, short-lived client secret (`vcst_`) the browser uses to\n   * open the realtime WebSocket without ever holding the long-lived Gateway\n   * credential. The customer's server calls this (via\n   * `gateway.experimental_realtime.getToken`) and hands the returned token to\n   * the browser, which connects with it through the `ai-gateway-auth.<token>`\n   * subprotocol. `expiresAfterSeconds` is forwarded to the mint endpoint;\n   * `sessionConfig` is intentionally unused here — it is applied later via the\n   * normalized `session-update` event.\n   */\n  async doCreateClientSecret(\n    options?: RealtimeModelV4ClientSecretOptions,\n  ): Promise<RealtimeModelV4ClientSecretResult> {\n    const secret = await this.config.createClientSecret({\n      modelId: this.modelId,\n      ...(options?.expiresAfterSeconds != null && {\n        expiresAfterSeconds: options.expiresAfterSeconds,\n      }),\n    });\n    return {\n      token: secret.token,\n      url: toGatewayRealtimeUrl(this.config.baseURL, this.modelId),\n      ...(secret.expiresAt != null && { expiresAt: secret.expiresAt }),\n    };\n  }\n\n  getWebSocketConfig(options: { token: string; url: string }): {\n    url: string;\n    protocols?: string[];\n  } {\n    return {\n      url: options.url,\n      protocols: getGatewayRealtimeProtocols(options.token, {\n        teamIdOrSlug: this.config.teamIdOrSlug,\n      }),\n    };\n  }\n\n  parseServerEvent(raw: unknown): RealtimeModelV4ServerEvent {\n    // The Gateway emits normalized AI SDK realtime events, so no\n    // provider-specific mapping is needed on the client.\n    return raw as RealtimeModelV4ServerEvent;\n  }\n\n  serializeClientEvent(event: RealtimeModelV4ClientEvent): unknown {\n    // The Gateway accepts normalized AI SDK realtime events directly.\n    return event;\n  }\n\n  buildSessionConfig(config: RealtimeModelV4SessionConfig): unknown {\n    // The session config is already normalized; the Gateway maps it to the\n    // upstream provider's session payload server-side.\n    return config;\n  }\n}\n\n/**\n * Build the Gateway realtime WebSocket URL. The HTTP(S) base URL is upgraded to\n * WS(S) and the model id rides the `?ai-model-id=` query — the WS transport of\n * the `ai-model-id` header the HTTP routes use, since a browser `WebSocket`\n * cannot set headers. The model id is passed through verbatim; the Gateway owns\n * resolution (including the bare → `openai/` qualification), exactly like the\n * non-realtime routes. The query is slash-safe for qualified ids such as\n * `openai/gpt-realtime-2`.\n */\nfunction toGatewayRealtimeUrl(baseURL: string, modelId: string): string {\n  const url = new URL(`${baseURL.replace(/^http/, 'ws')}/realtime-model`);\n  url.searchParams.set('ai-model-id', modelId);\n  return url.toString();\n}\n", "import {\n  createProviderExecutedToolFactory,\n  lazySchema,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from '../zod';\n\nexport type ExaSearchType = 'auto' | 'fast' | 'instant';\n\nexport type ExaSearchCategory =\n  | 'company'\n  | 'people'\n  | 'research paper'\n  | 'news'\n  | 'personal site'\n  | 'financial report';\n\nexport type ExaTextSection =\n  | 'header'\n  | 'navigation'\n  | 'banner'\n  | 'body'\n  | 'sidebar'\n  | 'footer'\n  | 'metadata';\n\nexport interface ExaSearchTextConfig {\n  maxCharacters?: number;\n  includeHtmlTags?: boolean;\n  verbosity?: 'compact' | 'standard' | 'full';\n  includeSections?: ExaTextSection[];\n  excludeSections?: ExaTextSection[];\n}\n\nexport interface ExaSearchHighlightsConfig {\n  query?: string;\n  maxCharacters?: number;\n}\n\nexport interface ExaSearchExtrasConfig {\n  links?: number;\n  imageLinks?: number;\n}\n\nexport interface ExaSearchContentsConfig {\n  text?: boolean | ExaSearchTextConfig;\n  highlights?: boolean | ExaSearchHighlightsConfig;\n  maxAgeHours?: number;\n  livecrawlTimeout?: number;\n  subpages?: number;\n  subpageTarget?: string | string[];\n  extras?: ExaSearchExtrasConfig;\n}\n\nexport interface ExaSearchConfig {\n  /**\n   * Default search method. Exa defaults to auto when omitted.\n   */\n  type?: ExaSearchType;\n\n  /**\n   * Default maximum number of results to return (1-100, default: 10).\n   */\n  numResults?: number;\n\n  /**\n   * Default category filter for result types.\n   */\n  category?: ExaSearchCategory;\n\n  /**\n   * Default two-letter ISO country code for location-aware search.\n   */\n  userLocation?: string;\n\n  /**\n   * Default domains to include or exclude.\n   */\n  includeDomains?: string[];\n  excludeDomains?: string[];\n\n  /**\n   * Default published date filters in ISO 8601 format.\n   */\n  startPublishedDate?: string;\n  endPublishedDate?: string;\n\n  /**\n   * Default content extraction controls.\n   */\n  contents?: ExaSearchContentsConfig;\n}\n\nexport interface ExaSearchResult {\n  title: string;\n  url: string;\n  id: string;\n  publishedDate?: string | null;\n  author?: string | null;\n  image?: string | null;\n  favicon?: string | null;\n  text?: string;\n  highlights?: string[];\n  highlightScores?: number[];\n  summary?: string;\n  subpages?: ExaSearchResult[];\n  extras?: {\n    links?: string[];\n    imageLinks?: string[];\n  };\n}\n\nexport interface ExaSearchResponse {\n  requestId: string;\n  searchType?: string;\n  resolvedSearchType?: string;\n  results: ExaSearchResult[];\n  costDollars?: {\n    total?: number;\n    search?: Record<string, number>;\n  };\n}\n\nexport interface ExaSearchError {\n  error:\n    | 'api_error'\n    | 'rate_limit'\n    | 'timeout'\n    | 'invalid_input'\n    | 'configuration_error'\n    | 'execution_error'\n    | 'unknown';\n  statusCode?: number;\n  message: string;\n}\n\nexport interface ExaSearchInput {\n  query: string;\n  type?: ExaSearchType;\n  num_results?: number;\n  category?: ExaSearchCategory;\n  user_location?: string;\n  include_domains?: string[];\n  exclude_domains?: string[];\n  start_published_date?: string;\n  end_published_date?: string;\n  contents?: {\n    text?:\n      | boolean\n      | {\n          max_characters?: number;\n          include_html_tags?: boolean;\n          verbosity?: 'compact' | 'standard' | 'full';\n          include_sections?: ExaTextSection[];\n          exclude_sections?: ExaTextSection[];\n        };\n    highlights?:\n      | boolean\n      | {\n          query?: string;\n          max_characters?: number;\n        };\n    max_age_hours?: number;\n    livecrawl_timeout?: number;\n    subpages?: number;\n    subpage_target?: string | string[];\n    extras?: {\n      links?: number;\n      image_links?: number;\n    };\n  };\n}\n\nexport type ExaSearchOutput = ExaSearchResponse | ExaSearchError;\n\nconst exaSearchInputSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      query: z\n        .string()\n        .describe('Natural-language web search query. This is required.'),\n      type: z\n        .enum(['auto', 'fast', 'instant'])\n        .optional()\n        .describe(\n          'Search method. Use auto for the default balance of speed and quality.',\n        ),\n      num_results: z\n        .number()\n        .optional()\n        .describe('Maximum number of results to return (1-100, default: 10).'),\n      category: z\n        .enum([\n          'company',\n          'people',\n          'research paper',\n          'news',\n          'personal site',\n          'financial report',\n        ])\n        .optional()\n        .describe('Optional content category to focus results.'),\n      user_location: z\n        .string()\n        .optional()\n        .describe(\"Two-letter ISO country code such as 'US'.\"),\n      include_domains: z\n        .array(z.string())\n        .optional()\n        .describe('Only return results from these domains.'),\n      exclude_domains: z\n        .array(z.string())\n        .optional()\n        .describe('Exclude results from these domains.'),\n      start_published_date: z\n        .string()\n        .optional()\n        .describe('Only return links published after this ISO 8601 date.'),\n      end_published_date: z\n        .string()\n        .optional()\n        .describe('Only return links published before this ISO 8601 date.'),\n      contents: z\n        .object({\n          text: z\n            .union([\n              z.boolean(),\n              z.object({\n                max_characters: z.number().optional(),\n                include_html_tags: z.boolean().optional(),\n                verbosity: z.enum(['compact', 'standard', 'full']).optional(),\n                include_sections: z\n                  .array(\n                    z.enum([\n                      'header',\n                      'navigation',\n                      'banner',\n                      'body',\n                      'sidebar',\n                      'footer',\n                      'metadata',\n                    ]),\n                  )\n                  .optional(),\n                exclude_sections: z\n                  .array(\n                    z.enum([\n                      'header',\n                      'navigation',\n                      'banner',\n                      'body',\n                      'sidebar',\n                      'footer',\n                      'metadata',\n                    ]),\n                  )\n                  .optional(),\n              }),\n            ])\n            .optional(),\n          highlights: z\n            .union([\n              z.boolean(),\n              z.object({\n                query: z.string().optional(),\n                max_characters: z.number().optional(),\n              }),\n            ])\n            .optional(),\n          max_age_hours: z.number().optional(),\n          livecrawl_timeout: z.number().optional(),\n          subpages: z.number().optional(),\n          subpage_target: z.union([z.string(), z.array(z.string())]).optional(),\n          extras: z\n            .object({\n              links: z.number().optional(),\n              image_links: z.number().optional(),\n            })\n            .optional(),\n        })\n        .optional()\n        .describe('Controls extracted page content and freshness.'),\n    }),\n  ),\n);\n\nconst exaSearchOutputSchema = lazySchema(() =>\n  zodSchema(\n    z.union([\n      z.object({\n        requestId: z.string(),\n        searchType: z.string().optional(),\n        resolvedSearchType: z.string().optional(),\n        results: z.array(\n          z.object({\n            title: z.string(),\n            url: z.string(),\n            id: z.string(),\n            publishedDate: z.string().nullable().optional(),\n            author: z.string().nullable().optional(),\n            image: z.string().nullable().optional(),\n            favicon: z.string().nullable().optional(),\n            text: z.string().optional(),\n            highlights: z.array(z.string()).optional(),\n            highlightScores: z.array(z.number()).optional(),\n            summary: z.string().optional(),\n            subpages: z.array(z.any()).optional(),\n            extras: z\n              .object({\n                links: z.array(z.string()).optional(),\n                imageLinks: z.array(z.string()).optional(),\n              })\n              .optional(),\n          }),\n        ),\n        costDollars: z\n          .object({\n            total: z.number().optional(),\n            search: z.record(z.string(), z.number()).optional(),\n          })\n          .optional(),\n      }),\n      z.object({\n        error: z.enum([\n          'api_error',\n          'rate_limit',\n          'timeout',\n          'invalid_input',\n          'configuration_error',\n          'execution_error',\n          'unknown',\n        ]),\n        statusCode: z.number().optional(),\n        message: z.string(),\n      }),\n    ]),\n  ),\n);\n\nexport const exaSearchToolFactory = createProviderExecutedToolFactory<\n  ExaSearchInput,\n  ExaSearchOutput,\n  ExaSearchConfig\n>({\n  id: 'gateway.exa_search',\n  inputSchema: exaSearchInputSchema,\n  outputSchema: exaSearchOutputSchema,\n});\n\nexport const exaSearch = (\n  config: ExaSearchConfig = {},\n): ReturnType<typeof exaSearchToolFactory> => exaSearchToolFactory(config);\n", "import {\n  createProviderExecutedToolFactory,\n  lazySchema,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from '../zod';\n\nexport interface ParallelSearchSourcePolicy {\n  /**\n   * List of domains to include in search results.\n   * Example: ['wikipedia.org', 'nature.com']\n   */\n  includeDomains?: string[];\n\n  /**\n   * List of domains to exclude from search results.\n   * Example: ['reddit.com', 'twitter.com']\n   */\n  excludeDomains?: string[];\n\n  /**\n   * Only include results published after this date (ISO 8601 format).\n   * Example: '2024-01-01'\n   */\n  afterDate?: string;\n}\n\nexport interface ParallelSearchExcerpts {\n  /**\n   * Maximum characters per result.\n   */\n  maxCharsPerResult?: number;\n\n  /**\n   * Maximum total characters across all results.\n   */\n  maxCharsTotal?: number;\n}\n\nexport interface ParallelSearchFetchPolicy {\n  /**\n   * Maximum age in seconds for cached content.\n   * Set to 0 to always fetch fresh content.\n   */\n  maxAgeSeconds?: number;\n}\n\nexport interface ParallelSearchConfig {\n  /**\n   * Mode preset for different use cases:\n   * - \"one-shot\": Comprehensive results with longer excerpts for single-response answers (default)\n   * - \"agentic\": Concise, token-efficient results for multi-step agentic workflows\n   */\n  mode?: 'one-shot' | 'agentic';\n\n  /**\n   * Default maximum number of results to return (1-20).\n   * Defaults to 10 if not specified.\n   */\n  maxResults?: number;\n\n  /**\n   * Default source policy for controlling which domains to include/exclude.\n   */\n  sourcePolicy?: ParallelSearchSourcePolicy;\n\n  /**\n   * Default excerpt configuration for controlling result length.\n   */\n  excerpts?: ParallelSearchExcerpts;\n\n  /**\n   * Default fetch policy for controlling content freshness.\n   */\n  fetchPolicy?: ParallelSearchFetchPolicy;\n}\n\nexport interface ParallelSearchResult {\n  /** URL of the search result */\n  url: string;\n  /** Title of the search result */\n  title: string;\n  /** Extracted text excerpt/content from the page */\n  excerpt: string;\n  /** Publication date of the content (may be null) */\n  publishDate?: string | null;\n  /** Relevance score for the result */\n  relevanceScore?: number;\n}\n\nexport interface ParallelSearchResponse {\n  /** Unique identifier for this search request */\n  searchId: string;\n  /** Array of search results */\n  results: ParallelSearchResult[];\n}\n\nexport interface ParallelSearchError {\n  /** Error type */\n  error:\n    | 'api_error'\n    | 'rate_limit'\n    | 'timeout'\n    | 'invalid_input'\n    | 'configuration_error'\n    | 'unknown';\n  /** HTTP status code if applicable */\n  statusCode?: number;\n  /** Human-readable error message */\n  message: string;\n}\n\nexport interface ParallelSearchInput {\n  /**\n   * Natural-language description of the web research goal.\n   * Include source or freshness guidance and broader context from the task.\n   * Maximum 5000 characters.\n   */\n  objective: string;\n\n  /**\n   * Optional search queries to supplement the objective.\n   * Maximum 200 characters per query.\n   */\n  search_queries?: string[];\n\n  /**\n   * Mode preset for different use cases:\n   * - \"one-shot\": Comprehensive results with longer excerpts\n   * - \"agentic\": Concise, token-efficient results for multi-step workflows\n   */\n  mode?: 'one-shot' | 'agentic';\n\n  /**\n   * Maximum number of results to return (1-20).\n   * Defaults to 10 if not specified.\n   */\n  max_results?: number;\n\n  /**\n   * Source policy for controlling which domains to include/exclude.\n   */\n  source_policy?: {\n    include_domains?: string[];\n    exclude_domains?: string[];\n    after_date?: string;\n  };\n\n  /**\n   * Excerpt configuration for controlling result length.\n   */\n  excerpts?: {\n    max_chars_per_result?: number;\n    max_chars_total?: number;\n  };\n\n  /**\n   * Fetch policy for controlling content freshness.\n   */\n  fetch_policy?: {\n    max_age_seconds?: number;\n  };\n}\n\nexport type ParallelSearchOutput = ParallelSearchResponse | ParallelSearchError;\n\nconst parallelSearchInputSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      objective: z\n        .string()\n        .describe(\n          'Natural-language description of the web research goal, including source or freshness guidance and broader context from the task. Maximum 5000 characters.',\n        ),\n\n      search_queries: z\n        .array(z.string())\n        .optional()\n        .describe(\n          'Optional search queries to supplement the objective. Maximum 200 characters per query.',\n        ),\n\n      mode: z\n        .enum(['one-shot', 'agentic'])\n        .optional()\n        .describe(\n          'Mode preset: \"one-shot\" for comprehensive results with longer excerpts (default), \"agentic\" for concise, token-efficient results for multi-step workflows.',\n        ),\n\n      max_results: z\n        .number()\n        .optional()\n        .describe(\n          'Maximum number of results to return (1-20). Defaults to 10 if not specified.',\n        ),\n\n      source_policy: z\n        .object({\n          include_domains: z\n            .array(z.string())\n            .optional()\n            .describe(\n              'Limit results to these domains. Use plain domain names only — e.g. example.com or sub.example.gov, or a bare extension like .edu. Do not include a scheme, path, or port (e.g. not https://example.com/page).',\n            ),\n          exclude_domains: z\n            .array(z.string())\n            .optional()\n            .describe(\n              'Exclude results from these domains. Use plain domain names only — e.g. example.com or sub.example.gov, or a bare extension like .edu. Do not include a scheme, path, or port (e.g. not https://example.com/page).',\n            ),\n          after_date: z\n            .string()\n            .optional()\n            .describe(\n              'Only include results published after this date. Use an ISO 8601 calendar date formatted YYYY-MM-DD (e.g. 2025-01-01); do not include a time.',\n            ),\n        })\n        .optional()\n        .describe(\n          'Source policy for controlling which domains to include/exclude and freshness.',\n        ),\n\n      excerpts: z\n        .object({\n          max_chars_per_result: z\n            .number()\n            .optional()\n            .describe('Maximum characters per result.'),\n          max_chars_total: z\n            .number()\n            .optional()\n            .describe('Maximum total characters across all results.'),\n        })\n        .optional()\n        .describe('Excerpt configuration for controlling result length.'),\n\n      fetch_policy: z\n        .object({\n          max_age_seconds: z\n            .number()\n            .optional()\n            .describe(\n              'Maximum age in seconds for cached content. Set to 0 to always fetch fresh content.',\n            ),\n        })\n        .optional()\n        .describe('Fetch policy for controlling content freshness.'),\n    }),\n  ),\n);\n\nconst parallelSearchOutputSchema = lazySchema(() =>\n  zodSchema(\n    z.union([\n      // Success response\n      z.object({\n        searchId: z.string(),\n        results: z.array(\n          z.object({\n            url: z.string(),\n            title: z.string(),\n            excerpt: z.string(),\n            publishDate: z.string().nullable().optional(),\n            relevanceScore: z.number().optional(),\n          }),\n        ),\n      }),\n      // Error response\n      z.object({\n        error: z.enum([\n          'api_error',\n          'rate_limit',\n          'timeout',\n          'invalid_input',\n          'configuration_error',\n          'unknown',\n        ]),\n        statusCode: z.number().optional(),\n        message: z.string(),\n      }),\n    ]),\n  ),\n);\n\nexport const parallelSearchToolFactory = createProviderExecutedToolFactory<\n  ParallelSearchInput,\n  ParallelSearchOutput,\n  ParallelSearchConfig\n>({\n  id: 'gateway.parallel_search',\n  inputSchema: parallelSearchInputSchema,\n  outputSchema: parallelSearchOutputSchema,\n});\n\nexport const parallelSearch = (\n  config: ParallelSearchConfig = {},\n): ReturnType<typeof parallelSearchToolFactory> =>\n  parallelSearchToolFactory(config);\n", "import {\n  createProviderExecutedToolFactory,\n  lazySchema,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from '../zod';\n\nexport interface PerplexitySearchConfig {\n  /**\n   * Default maximum number of search results to return (1-20, default: 10).\n   */\n  maxResults?: number;\n\n  /**\n   * Default maximum tokens to extract per search result page (256-2048, default: 2048).\n   */\n  maxTokensPerPage?: number;\n\n  /**\n   * Default maximum total tokens across all search results (default: 25000, max: 1000000).\n   */\n  maxTokens?: number;\n\n  /**\n   * Default two-letter ISO 3166-1 alpha-2 country code for regional search results.\n   * Examples: 'US', 'GB', 'FR'\n   */\n  country?: string;\n\n  /**\n   * Default list of domains to include or exclude from search results (max 20).\n   * To include: ['nature.com', 'science.org']\n   * To exclude: ['-example.com', '-spam.net']\n   */\n  searchDomainFilter?: string[];\n\n  /**\n   * Default list of ISO 639-1 language codes to filter results (max 10, lowercase).\n   * Examples: ['en', 'fr', 'de']\n   */\n  searchLanguageFilter?: string[];\n\n  /**\n   * Default recency filter for results.\n   * Cannot be combined with searchAfterDate/searchBeforeDate at runtime.\n   */\n  searchRecencyFilter?: 'day' | 'week' | 'month' | 'year';\n}\n\nexport interface PerplexitySearchResult {\n  /** Title of the search result */\n  title: string;\n  /** URL of the search result */\n  url: string;\n  /** Text snippet/preview of the content */\n  snippet: string;\n  /** Publication date of the content */\n  date?: string;\n  /** Last updated date of the content */\n  lastUpdated?: string;\n}\n\nexport interface PerplexitySearchResponse {\n  /** Array of search results */\n  results: PerplexitySearchResult[];\n  /** Unique identifier for this search request */\n  id: string;\n}\n\nexport interface PerplexitySearchError {\n  /** Error type */\n  error: 'api_error' | 'rate_limit' | 'timeout' | 'invalid_input' | 'unknown';\n  /** HTTP status code if applicable */\n  statusCode?: number;\n  /** Human-readable error message */\n  message: string;\n}\n\nexport interface PerplexitySearchInput {\n  /**\n   * Search query (string) or multiple queries (array of up to 5 strings).\n   * Multi-query searches return combined results from all queries.\n   */\n  query: string | string[];\n\n  /**\n   * Maximum number of search results to return (1-20, default: 10).\n   */\n  max_results?: number;\n\n  /**\n   * Maximum number of tokens to extract per search result page (256-2048, default: 2048).\n   */\n  max_tokens_per_page?: number;\n\n  /**\n   * Maximum total tokens across all search results (default: 25000, max: 1000000).\n   */\n  max_tokens?: number;\n\n  /**\n   * Two-letter ISO 3166-1 alpha-2 country code for regional search results.\n   * Examples: 'US', 'GB', 'FR'\n   */\n  country?: string;\n\n  /**\n   * List of domains to include or exclude from search results (max 20).\n   * To include: ['nature.com', 'science.org']\n   * To exclude: ['-example.com', '-spam.net']\n   */\n  search_domain_filter?: string[];\n\n  /**\n   * List of ISO 639-1 language codes to filter results (max 10, lowercase).\n   * Examples: ['en', 'fr', 'de']\n   */\n  search_language_filter?: string[];\n\n  /**\n   * Include only results published after this date.\n   * Format: 'MM/DD/YYYY' (e.g., '3/1/2025')\n   * Cannot be used with search_recency_filter.\n   */\n  search_after_date?: string;\n\n  /**\n   * Include only results published before this date.\n   * Format: 'MM/DD/YYYY' (e.g., '3/15/2025')\n   * Cannot be used with search_recency_filter.\n   */\n  search_before_date?: string;\n\n  /**\n   * Include only results last updated after this date.\n   * Format: 'MM/DD/YYYY' (e.g., '3/1/2025')\n   * Cannot be used with search_recency_filter.\n   */\n  last_updated_after_filter?: string;\n\n  /**\n   * Include only results last updated before this date.\n   * Format: 'MM/DD/YYYY' (e.g., '3/15/2025')\n   * Cannot be used with search_recency_filter.\n   */\n  last_updated_before_filter?: string;\n\n  /**\n   * Filter results by relative time period.\n   * Cannot be used with search_after_date or search_before_date.\n   */\n  search_recency_filter?: 'day' | 'week' | 'month' | 'year';\n}\n\nexport type PerplexitySearchOutput =\n  | PerplexitySearchResponse\n  | PerplexitySearchError;\n\nconst perplexitySearchInputSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      query: z\n        .union([z.string(), z.array(z.string())])\n        .describe(\n          'Search query (string) or multiple queries (array of up to 5 strings). Multi-query searches return combined results from all queries.',\n        ),\n\n      max_results: z\n        .number()\n        .optional()\n        .describe(\n          'Maximum number of search results to return (1-20, default: 10)',\n        ),\n\n      max_tokens_per_page: z\n        .number()\n        .optional()\n        .describe(\n          'Maximum number of tokens to extract per search result page (256-2048, default: 2048)',\n        ),\n\n      max_tokens: z\n        .number()\n        .optional()\n        .describe(\n          'Maximum total tokens across all search results (default: 25000, max: 1000000)',\n        ),\n\n      country: z\n        .string()\n        .optional()\n        .describe(\n          \"Two-letter ISO 3166-1 alpha-2 country code for regional search results (e.g., 'US', 'GB', 'FR')\",\n        ),\n\n      search_domain_filter: z\n        .array(z.string())\n        .optional()\n        .describe(\n          \"List of domains to include or exclude from search results (max 20). To include: ['nature.com', 'science.org']. To exclude: ['-example.com', '-spam.net']\",\n        ),\n\n      search_language_filter: z\n        .array(z.string())\n        .optional()\n        .describe(\n          \"List of ISO 639-1 language codes to filter results (max 10, lowercase). Examples: ['en', 'fr', 'de']\",\n        ),\n\n      search_after_date: z\n        .string()\n        .optional()\n        .describe(\n          \"Include only results published after this date. Format: 'MM/DD/YYYY' (e.g., '3/1/2025'). Cannot be used with search_recency_filter.\",\n        ),\n\n      search_before_date: z\n        .string()\n        .optional()\n        .describe(\n          \"Include only results published before this date. Format: 'MM/DD/YYYY' (e.g., '3/15/2025'). Cannot be used with search_recency_filter.\",\n        ),\n\n      last_updated_after_filter: z\n        .string()\n        .optional()\n        .describe(\n          \"Include only results last updated after this date. Format: 'MM/DD/YYYY' (e.g., '3/1/2025'). Cannot be used with search_recency_filter.\",\n        ),\n\n      last_updated_before_filter: z\n        .string()\n        .optional()\n        .describe(\n          \"Include only results last updated before this date. Format: 'MM/DD/YYYY' (e.g., '3/15/2025'). Cannot be used with search_recency_filter.\",\n        ),\n\n      search_recency_filter: z\n        .enum(['day', 'week', 'month', 'year'])\n        .optional()\n        .describe(\n          'Filter results by relative time period. Cannot be used with search_after_date or search_before_date.',\n        ),\n    }),\n  ),\n);\n\nconst perplexitySearchOutputSchema = lazySchema(() =>\n  zodSchema(\n    z.union([\n      // Success response\n      z.object({\n        results: z.array(\n          z.object({\n            title: z.string(),\n            url: z.string(),\n            snippet: z.string(),\n            date: z.string().optional(),\n            lastUpdated: z.string().optional(),\n          }),\n        ),\n        id: z.string(),\n      }),\n      // Error response\n      z.object({\n        error: z.enum([\n          'api_error',\n          'rate_limit',\n          'timeout',\n          'invalid_input',\n          'unknown',\n        ]),\n        statusCode: z.number().optional(),\n        message: z.string(),\n      }),\n    ]),\n  ),\n);\n\nexport const perplexitySearchToolFactory = createProviderExecutedToolFactory<\n  PerplexitySearchInput,\n  PerplexitySearchOutput,\n  PerplexitySearchConfig\n>({\n  id: 'gateway.perplexity_search',\n  inputSchema: perplexitySearchInputSchema,\n  outputSchema: perplexitySearchOutputSchema,\n});\n\nexport const perplexitySearch = (\n  config: PerplexitySearchConfig = {},\n): ReturnType<typeof perplexitySearchToolFactory> =>\n  perplexitySearchToolFactory(config);\n", "import {\n  createProviderExecutedToolFactory,\n  lazySchema,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from '../zod';\n\nexport type TakoSearchEffort = 'deep' | 'fast' | 'instant';\n\nexport type TakoContentFormat =\n  | 'card_json'\n  | 'csv'\n  | 'json_compact'\n  | 'json_records';\n\nexport interface TakoDataSourceConfig {\n  /** Maximum number of data cards to return (1-20). */\n  count?: number;\n  /** Inline underlying card data in the response. This can add a data charge. */\n  includeContents?: boolean;\n  /** Requested delivery mode for card data. Search cards are always inlined. */\n  mode?: 'inline' | 'url';\n  /** Serialization for inlined card data. */\n  contentFormat?: TakoContentFormat;\n  /** Maximum rows for inlined card data. The service clamps large values. */\n  maxRows?: number;\n  /** Data Graph node IDs to prioritize. */\n  nodeIds?: string[];\n  /** Return only cards matching nodeIds. Requires at least one node ID. */\n  strict?: boolean;\n}\n\nexport interface TakoWebSourceConfig {\n  /** Maximum number of web results to return (1-20). */\n  count?: number;\n  /** Inline extracted web page text. This can add a data charge. */\n  includeContents?: boolean;\n  /** Optional web-result category filter. */\n  category?: 'finance' | 'news' | 'sports';\n  /** Only return results from these bare domains. */\n  includeDomains?: string[];\n  /** Exclude results from these bare domains. */\n  excludeDomains?: string[];\n  /** Maximum characters in each web-result snippet. */\n  snippetMaxChars?: number;\n  /** Include highlighted passages in web results. Defaults to true in AI Gateway. */\n  highlights?: boolean;\n  /** Maximum extracted characters per web page when including contents. */\n  articleContentMaxChars?: number;\n  /** Keep results published on or after this ISO date. */\n  publishedAfter?: string;\n  /** Keep results published on or before this ISO date. */\n  publishedBefore?: string;\n}\n\nexport interface TakoSearchConfig {\n  /** Search effort. fast is the default balanced option. */\n  effort?: TakoSearchEffort;\n  /** Sources to search. Omit to search both curated data and the web. */\n  sources?: {\n    data?: TakoDataSourceConfig;\n    web?: TakoWebSourceConfig;\n  };\n  /** End-user coordinates for localized results. */\n  location?: {\n    latitude: number;\n    longitude: number;\n  };\n  /** ISO 3166-1 alpha-2 country code. */\n  countryCode?: string;\n  /** BCP-47 locale. */\n  locale?: string;\n  /** IANA timezone. */\n  timezone?: string;\n  /** Settings that control card rendering. */\n  outputSettings?: {\n    imageDarkMode?: boolean;\n    /** Instant-effort only. */\n    forceRefresh?: boolean;\n  };\n  /** Maximum related search suggestions to include (1-20). */\n  includeRelated?: number;\n}\n\nexport interface TakoSearchInput {\n  query: string;\n  effort?: TakoSearchEffort;\n  sources?: {\n    data?: {\n      count?: number;\n      include_contents?: boolean;\n      mode?: 'inline' | 'url';\n      content_format?: TakoContentFormat;\n      max_rows?: number;\n      node_ids?: string[];\n      strict?: boolean;\n    };\n    web?: {\n      count?: number;\n      include_contents?: boolean;\n      category?: 'finance' | 'news' | 'sports';\n      include_domains?: string[];\n      exclude_domains?: string[];\n      snippet_max_chars?: number;\n      highlights?: boolean;\n      article_content_max_chars?: number;\n      published_after?: string;\n      published_before?: string;\n    };\n  };\n  location?: {\n    latitude: number;\n    longitude: number;\n  };\n  country_code?: string;\n  locale?: string;\n  timezone?: string;\n  output_settings?: {\n    image_dark_mode?: boolean;\n    force_refresh?: boolean;\n  };\n  include_related?: number;\n}\n\nexport type TakoDatasetCell = boolean | number | string | null;\n\nexport interface TakoResultContent {\n  content_format?: TakoContentFormat | null;\n  cost?: number;\n  data?: string | null;\n  records?: Array<Record<string, TakoDatasetCell>> | null;\n  dataset?: {\n    columns: Array<{\n      name: string;\n      type: 'boolean' | 'date' | 'datetime' | 'number' | 'string';\n      unit?: string | null;\n    }>;\n    rows: TakoDatasetCell[][];\n    total_rows: number;\n    truncated: boolean;\n    ref: string;\n    sources: Array<{\n      name: string;\n      index?: 'data' | 'web';\n    }>;\n    provenance?: 'query' | 'web_extraction';\n  } | null;\n  card_data?: Record<string, unknown> | null;\n  card_data_schema?: Record<string, unknown> | null;\n  url?: string | null;\n  expires_at?: string | null;\n  total_rows?: number | null;\n  truncated?: boolean;\n  export_pricing?: {\n    baseline_usd: number;\n    free_rows: number;\n    max_rows_ceiling: number;\n    row_cpm_usd: number;\n  } | null;\n  manifest?: Array<{\n    dtype?: 'boolean' | 'date' | 'datetime' | 'number' | 'string' | null;\n    entity?: string | null;\n    metric?: string | null;\n    name?: string | null;\n    unit?: string | null;\n  }> | null;\n}\n\nexport interface TakoCard {\n  card_id?: string | null;\n  title?: string | null;\n  description?: string | null;\n  semantic_description?: string | null;\n  webpage_url?: string | null;\n  image_url?: string | null;\n  embed_url?: string | null;\n  sources?: Array<{\n    source_name?: string | null;\n    source_description?: string | null;\n    source_index: 'data' | 'web';\n    source_text?: string | null;\n    url?: string | null;\n  }> | null;\n  methodologies?: Array<{\n    methodology_name: string | null;\n    methodology_description: string | null;\n  }> | null;\n  source_indexes?: Array<'data' | 'web'> | null;\n  card_type?: string | null;\n  relevance?: 'High' | 'Low' | 'Medium' | null;\n  content?: TakoResultContent | null;\n  exportable?: boolean;\n  relevance_score?: number | null;\n  nodes?: Array<{\n    id: string;\n    type: 'entity' | 'metric';\n    name: string;\n    description?: string | null;\n  }> | null;\n  metric_definitions?: Array<{\n    name: string;\n    definition: string;\n  }> | null;\n  data_freshness?: {\n    coverage_end?: string | null;\n    data_as_of?: string | null;\n    last_updated?: string | null;\n  } | null;\n}\n\nexport interface TakoWebResult {\n  title: string;\n  url: string;\n  snippet?: string | null;\n  source_name?: string | null;\n  publish_date?: string | null;\n  content?: TakoResultContent | null;\n  citation_number?: number | null;\n}\n\nexport interface TakoSearchResponse {\n  request_id: string;\n  cards?: TakoCard[];\n  web_results?: TakoWebResult[];\n  usage?: {\n    total_cost_usd: number;\n    compute?: {\n      cost_usd: number;\n    } | null;\n    data?: {\n      cost_usd: number;\n      datasets: number;\n    } | null;\n  } | null;\n  related?: Array<Record<string, unknown>> | null;\n}\n\nexport interface TakoSearchError {\n  error:\n    | 'api_error'\n    | 'configuration_error'\n    | 'execution_error'\n    | 'invalid_input'\n    | 'rate_limit'\n    | 'timeout'\n    | 'unknown_tool';\n  statusCode?: number;\n  message: string;\n}\n\nexport type TakoSearchOutput = TakoSearchError | TakoSearchResponse;\n\nconst takoDataSourceInputSchema = z.object({\n  count: z\n    .number()\n    .optional()\n    .describe('Maximum number of data cards to return (1-20).'),\n  include_contents: z\n    .boolean()\n    .optional()\n    .describe('Inline underlying card data. This can add a data charge.'),\n  mode: z\n    .enum(['inline', 'url'])\n    .optional()\n    .describe(\n      'Requested data delivery mode. Search card data is always inline.',\n    ),\n  content_format: z\n    .enum(['card_json', 'csv', 'json_compact', 'json_records'])\n    .optional()\n    .describe('Serialization for inlined card data.'),\n  max_rows: z\n    .number()\n    .optional()\n    .describe('Maximum rows for inlined card data.'),\n  node_ids: z\n    .array(z.string())\n    .optional()\n    .describe('Data Graph node IDs to prioritize. Maximum 20.'),\n  strict: z\n    .boolean()\n    .optional()\n    .describe(\n      'Only return cards matching node_ids. Requires a non-empty node_ids.',\n    ),\n});\n\nconst takoWebSourceInputSchema = z.object({\n  count: z\n    .number()\n    .optional()\n    .describe('Maximum number of web results to return (1-20).'),\n  include_contents: z\n    .boolean()\n    .optional()\n    .describe('Inline extracted web page text. This can add a data charge.'),\n  category: z\n    .enum(['finance', 'news', 'sports'])\n    .optional()\n    .describe('Optional web-result category filter.'),\n  include_domains: z\n    .array(z.string())\n    .optional()\n    .describe('Only return results from these bare domains.'),\n  exclude_domains: z\n    .array(z.string())\n    .optional()\n    .describe('Exclude results from these bare domains.'),\n  snippet_max_chars: z\n    .number()\n    .optional()\n    .describe('Maximum characters in each web-result snippet.'),\n  highlights: z\n    .boolean()\n    .optional()\n    .describe(\n      'Include highlighted passages in web results. Defaults to true in AI Gateway.',\n    ),\n  article_content_max_chars: z\n    .number()\n    .optional()\n    .describe(\n      'Maximum extracted characters per web page when including contents.',\n    ),\n  published_after: z\n    .string()\n    .optional()\n    .describe('Keep results published on or after this ISO date (YYYY-MM-DD).'),\n  published_before: z\n    .string()\n    .optional()\n    .describe(\n      'Keep results published on or before this ISO date (YYYY-MM-DD).',\n    ),\n});\n\nconst takoSearchInputSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      query: z\n        .string()\n        .describe(\n          'Natural-language search query. Include the entity, metric, and time period. Quote a phrase to force it to one entity, for example \"Tesla\":PRODUCT price.',\n        ),\n      effort: z\n        .enum(['deep', 'fast', 'instant'])\n        .optional()\n        .describe(\n          'Search effort. fast is the balanced default, instant favors cached results and low latency, and deep broadens retrieval with reranking at higher cost and latency.',\n        ),\n      sources: z\n        .object({\n          data: takoDataSourceInputSchema.optional(),\n          web: takoWebSourceInputSchema.optional(),\n        })\n        .optional()\n        .describe(\n          'Sources to search. Omit to search both curated data and the web. When provided, only keys present are searched.',\n        ),\n      location: z\n        .object({\n          latitude: z.number().describe('Latitude between -90 and 90.'),\n          longitude: z.number().describe('Longitude between -180 and 180.'),\n        })\n        .optional()\n        .describe('End-user coordinates for localized results.'),\n      country_code: z\n        .string()\n        .optional()\n        .describe(\"Two-letter ISO 3166-1 country code, such as 'US'.\"),\n      locale: z.string().optional().describe(\"BCP-47 locale, such as 'en-US'.\"),\n      timezone: z\n        .string()\n        .optional()\n        .describe(\"IANA timezone, such as 'America/New_York'.\"),\n      output_settings: z\n        .object({\n          image_dark_mode: z\n            .boolean()\n            .optional()\n            .describe('Render card preview images in dark mode.'),\n          force_refresh: z\n            .boolean()\n            .optional()\n            .describe(\n              'Instant-effort only. Request a refreshed instant result.',\n            ),\n        })\n        .optional()\n        .describe('Controls card rendering in the search response.'),\n      include_related: z\n        .number()\n        .optional()\n        .describe('Maximum related search suggestions to include (1-20).'),\n    }),\n  ),\n);\n\nconst takoDatasetCellSchema = z\n  .union([z.boolean(), z.number(), z.string()])\n  .nullable();\n\nconst takoResultContentSchema = z\n  .object({\n    content_format: z\n      .enum(['card_json', 'csv', 'json_compact', 'json_records'])\n      .nullish(),\n    cost: z.number().optional(),\n    data: z.string().nullish(),\n    records: z.array(z.record(z.string(), takoDatasetCellSchema)).nullish(),\n    dataset: z\n      .object({\n        columns: z.array(\n          z.object({\n            name: z.string(),\n            type: z.enum(['boolean', 'date', 'datetime', 'number', 'string']),\n            unit: z.string().nullish(),\n          }),\n        ),\n        rows: z.array(z.array(takoDatasetCellSchema)),\n        total_rows: z.number(),\n        truncated: z.boolean(),\n        ref: z.string(),\n        sources: z.array(\n          z.object({\n            name: z.string(),\n            index: z.enum(['data', 'web']).optional(),\n          }),\n        ),\n        provenance: z.enum(['query', 'web_extraction']).optional(),\n      })\n      .nullish(),\n    card_data: z.object({}).passthrough().nullish(),\n    card_data_schema: z.object({}).passthrough().nullish(),\n    url: z.string().nullish(),\n    expires_at: z.string().nullish(),\n    total_rows: z.number().nullish(),\n    truncated: z.boolean().optional(),\n    export_pricing: z\n      .object({\n        baseline_usd: z.number(),\n        free_rows: z.number(),\n        max_rows_ceiling: z.number(),\n        row_cpm_usd: z.number(),\n      })\n      .nullish(),\n    manifest: z\n      .array(\n        z.object({\n          dtype: z\n            .enum(['boolean', 'date', 'datetime', 'number', 'string'])\n            .nullish(),\n          entity: z.string().nullish(),\n          metric: z.string().nullish(),\n          name: z.string().nullish(),\n          unit: z.string().nullish(),\n        }),\n      )\n      .nullish(),\n  })\n  .passthrough();\n\nconst takoCardSchema = z\n  .object({\n    card_id: z.string().nullish(),\n    title: z.string().nullish(),\n    description: z.string().nullish(),\n    semantic_description: z.string().nullish(),\n    webpage_url: z.string().nullish(),\n    image_url: z.string().nullish(),\n    embed_url: z.string().nullish(),\n    sources: z\n      .array(\n        z.object({\n          source_name: z.string().nullish(),\n          source_description: z.string().nullish(),\n          source_index: z.enum(['data', 'web']),\n          source_text: z.string().nullish(),\n          url: z.string().nullish(),\n        }),\n      )\n      .nullish(),\n    methodologies: z\n      .array(\n        z.object({\n          methodology_name: z.string().nullable(),\n          methodology_description: z.string().nullable(),\n        }),\n      )\n      .nullish(),\n    source_indexes: z.array(z.enum(['data', 'web'])).nullish(),\n    card_type: z.string().nullish(),\n    relevance: z.enum(['High', 'Low', 'Medium']).nullish(),\n    content: takoResultContentSchema.nullish(),\n    exportable: z.boolean().optional(),\n    relevance_score: z.number().nullish(),\n    nodes: z\n      .array(\n        z.object({\n          id: z.string(),\n          type: z.enum(['entity', 'metric']),\n          name: z.string(),\n          description: z.string().nullish(),\n        }),\n      )\n      .nullish(),\n    metric_definitions: z\n      .array(z.object({ name: z.string(), definition: z.string() }))\n      .nullish(),\n    data_freshness: z\n      .object({\n        coverage_end: z.string().nullish(),\n        data_as_of: z.string().nullish(),\n        last_updated: z.string().nullish(),\n      })\n      .nullish(),\n  })\n  .passthrough();\n\nconst takoWebResultSchema = z\n  .object({\n    title: z.string(),\n    url: z.string(),\n    snippet: z.string().nullish(),\n    source_name: z.string().nullish(),\n    publish_date: z.string().nullish(),\n    content: takoResultContentSchema.nullish(),\n    citation_number: z.number().nullish(),\n  })\n  .passthrough();\n\nconst takoSearchOutputSchema = lazySchema(() =>\n  zodSchema(\n    z.union([\n      z\n        .object({\n          request_id: z.string(),\n          cards: z.array(takoCardSchema).optional(),\n          web_results: z.array(takoWebResultSchema).optional(),\n          usage: z\n            .object({\n              total_cost_usd: z.number(),\n              compute: z.object({ cost_usd: z.number() }).nullish(),\n              data: z\n                .object({ cost_usd: z.number(), datasets: z.number() })\n                .nullish(),\n            })\n            .nullish(),\n          related: z.array(z.object({}).passthrough()).nullish(),\n        })\n        .passthrough(),\n      z.object({\n        error: z.enum([\n          'api_error',\n          'configuration_error',\n          'execution_error',\n          'invalid_input',\n          'rate_limit',\n          'timeout',\n          'unknown_tool',\n        ]),\n        statusCode: z.number().optional(),\n        message: z.string(),\n      }),\n    ]),\n  ),\n);\n\nexport const takoSearchToolFactory = createProviderExecutedToolFactory<\n  TakoSearchInput,\n  TakoSearchOutput,\n  TakoSearchConfig\n>({\n  id: 'gateway.tako_search',\n  inputSchema: takoSearchInputSchema,\n  outputSchema: takoSearchOutputSchema,\n});\n\nexport const takoSearch = (\n  config: TakoSearchConfig = {},\n): ReturnType<typeof takoSearchToolFactory> => takoSearchToolFactory(config);\n", "import { exaSearch } from './tool/exa-search';\nimport { parallelSearch } from './tool/parallel-search';\nimport { perplexitySearch } from './tool/perplexity-search';\nimport { takoSearch } from './tool/tako-search';\n\n/**\n * Gateway-specific provider-defined tools.\n */\nexport const gatewayTools = {\n  /**\n   * Search the web using Exa for current information and token-efficient\n   * excerpts optimized for agent workflows.\n   *\n   * Supports search type, category, domain, date, location, and content\n   * extraction controls.\n   */\n  exaSearch,\n\n  /**\n   * Search the web using Parallel AI's Search API for LLM-optimized excerpts.\n   *\n   * Takes a natural language objective and returns relevant excerpts,\n   * replacing multiple keyword searches with a single call for broad\n   * or complex queries. Supports different search types for depth vs\n   * breadth tradeoffs.\n   */\n  parallelSearch,\n\n  /**\n   * Search the web using Perplexity's Search API for real-time information,\n   * news, research papers, and articles.\n   *\n   * Provides ranked search results with advanced filtering options including\n   * domain, language, date range, and recency filters.\n   */\n  perplexitySearch,\n\n  /**\n   * Search the web and Tako's curated knowledge graph in one call for\n   * token-efficient web excerpts and structured data results grounded in\n   * premium sources, each with an embed-ready visualization.\n   *\n   * Supports effort, per-source web and data controls, localization, and inline\n   * contents for agents that need to reason over underlying data.\n   */\n  takoSearch,\n};\n", "import { getContext } from '@vercel/oidc';\nexport { getVercelOidcToken } from '@vercel/oidc';\n\nexport async function getVercelRequestId(): Promise<string | undefined> {\n  return getContext().headers?.['x-vercel-id'];\n}\n", "// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n", "// import globals\nimport './global';\n\n// re-exports:\nexport { createGateway, gateway, type GatewayModelId } from '@ai-sdk/gateway';\nexport {\n  asSchema,\n  createIdGenerator,\n  dynamicTool,\n  experimental_toolCaller,\n  generateId,\n  jsonSchema,\n  parseJsonEventStream,\n  tool,\n  zodSchema,\n  type FlexibleSchema,\n  type IdGenerator,\n  type InferSchema,\n  type InferToolInput,\n  type InferToolOutput,\n  type Experimental_SandboxSession,\n  type Experimental_SandboxProcess,\n  type Experimental_ToolCallerTool,\n  type Schema,\n  type Tool,\n  type ToolApprovalRequest,\n  type ToolApprovalResponse,\n  type ToolExecuteFunction,\n  type ToolExecutionOptions,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\n\n// directory exports\nexport * from './agent';\nexport * from './batch';\nexport * from './embed';\nexport * from './error';\nexport * from './generate-image';\nexport * from './generate-object';\nexport * from './generate-speech';\nexport * from './generate-text';\nexport * from './generate-video';\nexport * from './logger';\nexport * from './middleware';\nexport * from './prompt';\nexport * from './realtime';\nexport * from './registry';\nexport * from './rerank';\nexport * from './telemetry';\nexport * from './text-stream';\nexport * from './transcribe';\nexport * from './translate';\nexport * from './types';\nexport * from './ui';\nexport * from './ui-message-stream';\nexport * from './upload-file';\nexport * from './upload-skill';\nexport * from './util';\n", "import {\n  validateTypes,\n  withUserAgentSuffix,\n  type Context,\n  type Experimental_SandboxSession as SandboxSession,\n  type ModelMessage,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { generateText } from '../generate-text/generate-text';\nimport type {\n  GenerateTextOnStartCallback,\n  GenerateTextOnStepStartCallback,\n} from '../generate-text/generate-text-events';\nimport type { GenerateTextResult } from '../generate-text/generate-text-result';\nimport type { Output } from '../generate-text/output';\nimport { isStepCount } from '../generate-text/stop-condition';\nimport { streamText } from '../generate-text/stream-text';\nimport type { StreamTextResult } from '../generate-text/stream-text-result';\nimport type { Prompt } from '../prompt';\nimport { mergeCallbacks } from '../util/merge-callbacks';\nimport type {\n  Agent,\n  AgentCallParameters,\n  AgentStreamParameters,\n} from './agent';\nimport type { ToolLoopAgentSettings } from './tool-loop-agent-settings';\n\n/**\n * A tool loop agent is an agent that runs tools in a loop. In each step,\n * it calls the LLM, and if there are tool calls, it executes the tools\n * and calls the LLM again in a new step with the tool results.\n *\n * The loop continues until:\n * - A finish reasoning other than tool-calls is returned, or\n * - A tool that is invoked does not have an execute function, or\n * - A tool call needs approval via `toolApproval` or tool-level `needsApproval`, or\n * - A stop condition is met (default stop condition is isStepCount(20))\n */\nexport class ToolLoopAgent<\n  CALL_OPTIONS = never,\n  TOOLS extends ToolSet = {},\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = never,\n> implements Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT> {\n  readonly version = 'agent-v1';\n\n  private readonly settings: ToolLoopAgentSettings<\n    CALL_OPTIONS,\n    TOOLS,\n    RUNTIME_CONTEXT,\n    OUTPUT\n  >;\n\n  constructor(\n    settings: ToolLoopAgentSettings<\n      CALL_OPTIONS,\n      TOOLS,\n      RUNTIME_CONTEXT,\n      OUTPUT\n    >,\n  ) {\n    const { onFinish, onEnd = onFinish } = settings;\n    this.settings = { ...settings, onEnd };\n  }\n\n  /**\n   * The id of the agent.\n   */\n  get id(): string | undefined {\n    return this.settings.id;\n  }\n\n  /**\n   * The tools that the agent can use.\n   */\n  get tools(): TOOLS {\n    return this.settings.tools as TOOLS;\n  }\n\n  private async prepareCall(options: {\n    prompt?: string | Array<ModelMessage>;\n    messages?: Array<ModelMessage>;\n    options?: CALL_OPTIONS;\n    experimental_sandbox?: SandboxSession;\n  }): Promise<\n    Omit<\n      ToolLoopAgentSettings<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>,\n      | 'prepareCall'\n      | 'instructions'\n      | 'allowSystemInMessages'\n      | 'onStart'\n      | 'experimental_onStart'\n      | 'onStepStart'\n      | 'experimental_onStepStart'\n      | 'onToolExecutionStart'\n      | 'onToolExecutionEnd'\n      | 'onStepEnd'\n      | 'onStepFinish'\n      | 'onEnd'\n      | 'onFinish'\n    > &\n      Prompt\n  > {\n    if (\n      this.settings.callOptionsSchema != null &&\n      options.options !== undefined\n    ) {\n      const validatedOptions = await validateTypes({\n        value: options.options,\n        schema: this.settings.callOptionsSchema,\n        context: { field: 'options' },\n      });\n      options = { ...options, options: validatedOptions };\n    }\n\n    const {\n      onStart: _settingsStableOnStart,\n      experimental_onStart: _settingsExperimentalOnStart,\n      onStepStart: _settingsStableOnStepStart,\n      experimental_onStepStart: _settingsExperimentalOnStepStart,\n      onToolExecutionStart: _settingsOnToolExecutionStart,\n      onToolExecutionEnd: _settingsOnToolExecutionEnd,\n      onStepEnd: _settingsOnStepEnd,\n      onStepFinish: _settingsOnStepFinish,\n      onFinish: _settingsOnFinish,\n      onEnd: _settingsOnEnd,\n      ...settingsWithoutCallbacks\n    } = this.settings;\n\n    const baseCallArgs = {\n      ...settingsWithoutCallbacks,\n      stopWhen: this.settings.stopWhen ?? isStepCount(20),\n      ...options,\n    };\n\n    const preparedCallArgs =\n      (await this.settings.prepareCall?.(\n        baseCallArgs as Parameters<\n          NonNullable<\n            ToolLoopAgentSettings<\n              CALL_OPTIONS,\n              TOOLS,\n              RUNTIME_CONTEXT,\n              OUTPUT\n            >['prepareCall']\n          >\n        >[0],\n      )) ?? baseCallArgs;\n\n    const {\n      instructions,\n      allowSystemInMessages,\n      messages,\n      prompt,\n      runtimeContext,\n      ...callArgs\n    } = preparedCallArgs;\n\n    const promptArgs = {\n      instructions,\n      allowSystemInMessages,\n      messages,\n      prompt,\n    } as Prompt;\n\n    if (runtimeContext === undefined) {\n      return {\n        ...callArgs,\n        ...promptArgs,\n      };\n    }\n\n    return {\n      ...callArgs,\n      runtimeContext,\n      ...promptArgs,\n    };\n  }\n\n  /**\n   * Tags outgoing requests so usage can be attributed to ToolLoopAgent. Chains\n   * with the `ai/<version>` and `ai-sdk/<provider>/<version>` suffixes added\n   * downstream by generateText/streamText and the provider.\n   */\n  private agentHeaders(preparedCall: {\n    headers?: unknown;\n  }): Record<string, string> {\n    return withUserAgentSuffix(\n      (preparedCall.headers as Record<string, string | undefined>) ?? {},\n      'ai-sdk-agent/tool-loop',\n    );\n  }\n\n  /**\n   * Generates an output from the agent (non-streaming).\n   */\n  async generate({\n    abortSignal,\n    timeout,\n    experimental_sandbox: sandbox,\n    onStart,\n    experimental_onStart,\n    onStepStart,\n    experimental_onStepStart,\n    onToolExecutionStart,\n    onToolExecutionEnd,\n    onStepEnd,\n    onStepFinish,\n    onFinish,\n    onEnd = onFinish,\n    ...options\n  }: AgentCallParameters<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT>): Promise<\n    GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n  > {\n    const generate = generateText<TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n    const preparedCall = await this.prepareCall({\n      ...options,\n      experimental_sandbox: sandbox,\n    });\n    const callbackArgs = {\n      abortSignal,\n      timeout: timeout ?? preparedCall.timeout,\n      experimental_sandbox: sandbox,\n      onStart: mergeCallbacks(\n        this.settings.onStart ?? this.settings.experimental_onStart,\n        (onStart ?? experimental_onStart) as\n          | GenerateTextOnStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n          | undefined,\n      ),\n      onStepStart: mergeCallbacks(\n        this.settings.onStepStart ?? this.settings.experimental_onStepStart,\n        (onStepStart ?? experimental_onStepStart) as\n          | GenerateTextOnStepStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n          | undefined,\n      ),\n      onToolExecutionStart: mergeCallbacks(\n        this.settings.onToolExecutionStart,\n        onToolExecutionStart,\n      ),\n      onToolExecutionEnd: mergeCallbacks(\n        this.settings.onToolExecutionEnd,\n        onToolExecutionEnd,\n      ),\n      onStepEnd: mergeCallbacks(\n        this.settings.onStepEnd ?? this.settings.onStepFinish,\n        onStepEnd ?? onStepFinish,\n      ),\n      onEnd: mergeCallbacks(this.settings.onEnd, onEnd),\n    };\n\n    return await generate({\n      ...preparedCall,\n      ...callbackArgs,\n      headers: this.agentHeaders(preparedCall),\n    } as unknown as Parameters<typeof generate>[0]);\n  }\n\n  /**\n   * Streams an output from the agent (streaming).\n   */\n  async stream({\n    abortSignal,\n    timeout,\n    experimental_sandbox: sandbox,\n    experimental_transform,\n    onStart,\n    experimental_onStart,\n    onStepStart,\n    experimental_onStepStart,\n    onToolExecutionStart,\n    onToolExecutionEnd,\n    onStepEnd,\n    onStepFinish,\n    onFinish,\n    onEnd = onFinish,\n    ...options\n  }: AgentStreamParameters<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT>): Promise<\n    StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n  > {\n    const stream = streamText<TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n    const preparedCall = await this.prepareCall({\n      ...options,\n      experimental_sandbox: sandbox,\n    });\n    const callbackArgs = {\n      abortSignal,\n      timeout: timeout ?? preparedCall.timeout,\n      experimental_sandbox: sandbox,\n      experimental_transform,\n      onStart: mergeCallbacks(\n        this.settings.onStart ?? this.settings.experimental_onStart,\n        (onStart ?? experimental_onStart) as\n          | GenerateTextOnStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n          | undefined,\n      ),\n      onStepStart: mergeCallbacks(\n        this.settings.onStepStart ?? this.settings.experimental_onStepStart,\n        (onStepStart ?? experimental_onStepStart) as\n          | GenerateTextOnStepStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>\n          | undefined,\n      ),\n      onToolExecutionStart: mergeCallbacks(\n        this.settings.onToolExecutionStart,\n        onToolExecutionStart,\n      ),\n      onToolExecutionEnd: mergeCallbacks(\n        this.settings.onToolExecutionEnd,\n        onToolExecutionEnd,\n      ),\n      onStepEnd: mergeCallbacks(\n        this.settings.onStepEnd ?? this.settings.onStepFinish,\n        onStepEnd ?? onStepFinish,\n      ),\n      onEnd: mergeCallbacks(this.settings.onEnd, onEnd),\n    };\n\n    return await stream({\n      ...preparedCall,\n      ...callbackArgs,\n      headers: this.agentHeaders(preparedCall),\n    } as unknown as Parameters<typeof stream>[0]);\n  }\n}\n", "import type {\n  LanguageModelV4Content,\n  LanguageModelV4GenerateResult,\n  LanguageModelV4ToolCall,\n} from '@ai-sdk/provider';\nimport {\n  asArray,\n  createIdGenerator,\n  getErrorMessage,\n  withUserAgentSuffix,\n  type Arrayable,\n  type Context,\n  type Experimental_SandboxSession as SandboxSession,\n  type IdGenerator,\n  type InferToolSetContext,\n  type ProviderOptions,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { NoOutputGeneratedError } from '../error';\nimport { ToolCallNotFoundForApprovalError } from '../error/tool-call-not-found-for-approval-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport type { ModelMessage } from '../prompt';\nimport { cloneModelMessages } from '../prompt/clone-model-message';\nimport { convertToLanguageModelPrompt } from '../prompt/convert-to-language-model-prompt';\nimport { createToolModelOutput } from '../prompt/create-tool-model-output';\nimport type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\nimport { prepareToolChoice } from '../prompt/prepare-tool-choice';\nimport { prepareTools } from '../prompt/prepare-tools';\nimport type { Prompt } from '../prompt/prompt';\nimport {\n  getChunkTimeoutMs,\n  getFirstChunkTimeoutMs,\n  getStepTimeoutMs,\n  getTotalTimeoutMs,\n  type RequestOptions,\n  type TimeoutConfiguration,\n} from '../prompt/request-options';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport { wrapGatewayError } from '../prompt/wrap-gateway-error';\nimport type { Telemetry, TelemetryDispatcher } from '../telemetry/telemetry';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport type {\n  LanguageModel,\n  LanguageModelRequestMetadata,\n  ToolChoice,\n  Warning,\n} from '../types';\nimport {\n  addLanguageModelUsage,\n  asLanguageModelUsage,\n  type LanguageModelUsage,\n} from '../types/usage';\nimport type { DownloadFunction } from '../util/download/download-function';\nimport { getOwn } from '../util/get-own';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { mergeObjects } from '../util/merge-objects';\nimport { now as originalNow } from '../util/now';\nimport { notify } from '../util/notify';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { setAbortTimeout } from '../util/set-abort-timeout';\nimport { VERSION } from '../version';\nimport type { ActiveTools } from './active-tools';\nimport { calculateTokensPerSecond } from './calculate-tokens-per-second';\nimport { collectToolApprovals } from './collect-tool-approvals';\nimport type { ContentPart } from './content-part';\nimport { executeToolCall } from './execute-tool-call';\nimport {\n  filterActiveTools,\n  type ActiveToolSubset,\n} from './filter-active-tools';\nimport type {\n  GenerateTextOnEndCallback,\n  GenerateTextOnStartCallback,\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n  GenerateTextOnStepStartCallback,\n} from './generate-text-events';\nimport type { GenerateTextResult } from './generate-text-result';\nimport { DefaultGeneratedFile } from './generated-file';\nimport { isToolExecutionAllowedFinishReason } from './is-tool-execution-allowed-finish-reason';\nimport type {\n  OnLanguageModelCallEndCallback,\n  OnLanguageModelCallStartCallback,\n} from './language-model-events';\nimport { text, type Output } from './output';\nimport type { InferCompleteOutput } from './output-utils';\nimport { parseToolCall } from './parse-tool-call';\nimport type { PrepareStepFunction } from './prepare-step';\nimport { prepareStepCallSettings } from './prepare-step-call-settings';\nimport { convertToReasoningOutputs } from './reasoning-output';\nimport { resolveToolApproval } from './resolve-tool-approval';\nimport type { ResponseMessage } from './response-message';\nimport { createRestrictedTelemetryDispatcher } from './restricted-telemetry-dispatcher';\nimport {\n  DefaultStepResult,\n  type StepResult,\n  type StepResultPerformance,\n} from './step-result';\nimport {\n  isStepCount,\n  isStopConditionMet,\n  type StopCondition,\n} from './stop-condition';\nimport { sumTokenCounts } from './sum-token-counts';\nimport { toResponseMessages } from './to-response-messages';\nimport type { ToolApprovalConfiguration } from './tool-approval-configuration';\nimport type { ToolApprovalRequestOutput } from './tool-approval-request-output';\nimport type { ToolApprovalResponseOutput } from './tool-approval-response-output';\nimport {\n  prepareToolsForToolCallers,\n  resolveToolCallerConfiguration,\n  type Experimental_ToolCallers,\n} from './tool-caller-configuration';\nimport type { TypedToolCall } from './tool-call';\nimport type { ToolCallRepairFunction } from './tool-call-repair-function';\nimport type { TypedToolError } from './tool-error';\nimport type {\n  OnToolExecutionEndCallback,\n  OnToolExecutionStartCallback,\n} from './tool-execution-events';\nimport type { ToolInputRefinement } from './tool-input-refinement';\nimport type { ToolOrder } from './tool-order';\nimport type { ToolOutput } from './tool-output';\nimport type { TypedToolResult } from './tool-result';\nimport type { ToolsContextParameter } from './tools-context-parameter';\nimport { maybeSignApproval } from './tool-approval-signature';\nimport { validateApprovedToolApprovals } from './validate-tool-approvals';\n\nconst originalGenerateId = createIdGenerator({\n  prefix: 'aitxt',\n  size: 24,\n});\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\nexport type GenerateTextInclude = {\n  /**\n   * Whether to retain the request body in step results.\n   * The request body can be large when sending images or files.\n   *\n   * @default false\n   */\n  requestBody?: boolean;\n\n  /**\n   * Whether to retain the request messages in step results.\n   * The request messages can be large when sending images or files.\n   *\n   * @default false\n   */\n  requestMessages?: boolean;\n\n  /**\n   * Whether to retain the response body in step results.\n   *\n   * @default false\n   */\n  responseBody?: boolean;\n};\n\n/**\n * Generate a text and call tools for a given prompt using a language model.\n *\n * This function does not stream the output. If you want to stream the output, use `streamText` instead.\n *\n * @param model - The language model to use.\n *\n * @param tools - Tools that are accessible to and can be called by the model. The model needs to support calling tools.\n * @param toolChoice - The tool choice strategy. Default: 'auto'.\n * @param toolOrder - Controls the order in which tools are sent to the provider. Tools not listed are appended alphabetically.\n *\n * @param system - A system message that will be part of the prompt.\n * @param prompt - A simple text prompt. You can either use `prompt` or `messages` but not both.\n * @param messages - A list of messages. You can either use `prompt` or `messages` but not both.\n * @param allowSystemInMessages - Whether system messages are allowed in the `prompt` or `messages` fields. Default: false.\n *\n * @param maxOutputTokens - Maximum number of tokens to generate.\n * @param temperature - Temperature setting.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topP - Nucleus sampling.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topK - Only sample from the top K options for each subsequent token.\n * Used to remove \"long tail\" low probability responses.\n * Recommended for advanced use cases only. You usually only need to use temperature.\n * @param presencePenalty - Presence penalty setting.\n * It affects the likelihood of the model to repeat information that is already in the prompt.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param frequencyPenalty - Frequency penalty setting.\n * It affects the likelihood of the model to repeatedly use the same words or phrases.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param stopSequences - Stop sequences.\n * If set, the model will stop generating text when one of the stop sequences is generated.\n * @param seed - The seed (integer) to use for random sampling.\n * If set and supported by the model, calls will generate deterministic results.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param timeout - An optional timeout in milliseconds. The call will be aborted if it takes longer than the specified timeout.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param experimental_sandbox - The sandbox environment that is passed through to tool execution.\n * @param runtimeContext - User-defined runtime context that flows through the entire generation lifecycle.\n * @param experimental_refineToolInput - Optional mapping of tool names to functions that refine parsed tool inputs before tools are executed and before outputs, callbacks, and telemetry are recorded.\n * @param onStart - Callback invoked when generation begins, before any LLM calls.\n * @param experimental_onStart - Deprecated alias for `onStart`.\n * @param onStepStart - Callback invoked when each step begins, before the provider is called.\n * @param experimental_onStepStart - Deprecated alias for `onStepStart`.\n * Receives step number, messages (in ModelMessage format), tools, and runtimeContext.\n * @param onLanguageModelCallStart - Callback invoked immediately before each provider model call begins.\n * @param experimental_onLanguageModelCallStart - Deprecated alias for `onLanguageModelCallStart`.\n * @param onLanguageModelCallEnd - Callback invoked after each provider model call response is normalized and parsed.\n * @param experimental_onLanguageModelCallEnd - Deprecated alias for `onLanguageModelCallEnd`.\n * @param onToolExecutionStart - Callback invoked before each tool execution begins.\n * Receives tool name, call ID, input, and context.\n * @param experimental_onToolCallStart - Deprecated alias for `onToolExecutionStart`.\n * @param onToolExecutionEnd - Callback invoked after each tool execution completes.\n * Uses a discriminated union: check `success` to determine if `output` or `error` is present.\n * @param experimental_onToolCallFinish - Deprecated alias for `onToolExecutionEnd`.\n * @param onStepFinish - Callback that is called when each step (LLM call) is finished, including intermediate steps.\n * @param onEnd - Callback that is called when all steps are finished and the response is complete.\n * @param onFinish - Deprecated alias for `onEnd`.\n *\n * @returns\n * A result object that contains the generated text, the results of the tool calls, and additional information.\n */\nexport async function generateText<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = Output<string, string>,\n>({\n  model: modelArg,\n  tools,\n  toolChoice,\n  instructions,\n  system,\n  prompt,\n  messages,\n  allowSystemInMessages,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  timeout,\n  headers,\n  stopWhen = isStepCount(1),\n  experimental_sandbox: sandbox,\n  output,\n  toolApproval,\n  experimental_toolCallers,\n  experimental_toolApprovalSecret,\n  experimental_telemetry,\n  telemetry = experimental_telemetry,\n  providerOptions,\n  activeTools,\n  toolOrder,\n  prepareStep,\n  experimental_repairToolCall,\n  repairToolCall = experimental_repairToolCall,\n  experimental_refineToolInput: refineToolInput,\n  experimental_download: download,\n  runtimeContext = {} as RUNTIME_CONTEXT,\n  toolsContext = {} as InferToolSetContext<TOOLS>,\n  experimental_include,\n  include = experimental_include,\n  _internal: {\n    generateId = originalGenerateId,\n    generateCallId = originalGenerateCallId,\n    now = originalNow,\n  } = {},\n  onStart,\n  experimental_onStart,\n  onStepStart,\n  experimental_onStepStart,\n  onLanguageModelCallStart,\n  experimental_onLanguageModelCallStart,\n  onLanguageModelCallEnd,\n  experimental_onLanguageModelCallEnd,\n  onToolExecutionStart,\n  onToolExecutionEnd,\n  experimental_onToolCallStart,\n  experimental_onToolCallFinish,\n  onStepEnd,\n  onStepFinish,\n  onFinish,\n  onEnd = onFinish,\n  ...settings\n}: LanguageModelCallOptions &\n  RequestOptions<TOOLS> &\n  Prompt &\n  ToolsContextParameter<TOOLS> & {\n    /**\n     * The language model to use.\n     */\n    model: LanguageModel;\n\n    /**\n     * The tool choice strategy. Default: 'auto'.\n     */\n    toolChoice?: ToolChoice<NoInfer<TOOLS>>;\n\n    /**\n     * Condition for stopping the generation when there are tool results in the last step.\n     * When the condition is an array, any of the conditions can be met to stop the generation.\n     *\n     * @default isStepCount(1)\n     */\n    stopWhen?: Arrayable<StopCondition<NoInfer<TOOLS>, RUNTIME_CONTEXT>>;\n\n    /**\n     * Optional telemetry configuration.\n     */\n    telemetry?: TelemetryOptions<RUNTIME_CONTEXT, NoInfer<TOOLS>>;\n\n    /**\n     * Optional telemetry configuration.\n     *\n     * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n     */\n    experimental_telemetry?: TelemetryOptions<RUNTIME_CONTEXT, NoInfer<TOOLS>>;\n\n    /**\n     * Additional provider-specific options. They are passed through\n     * to the provider from the AI SDK and enable provider-specific\n     * functionality that can be fully encapsulated in the provider.\n     */\n    providerOptions?: ProviderOptions;\n\n    /**\n     * The sandbox environment that is passed through to tool execution.\n     */\n    experimental_sandbox?: SandboxSession;\n\n    /**\n     * Runtime context. Treat runtime context as immutable.\n     * If you need to mutate runtime context, update it in `prepareStep`.\n     */\n    runtimeContext?: RUNTIME_CONTEXT;\n\n    /**\n     * Limits the tools that are available for the model to call without\n     * changing the tool call and result types in the result.\n     */\n    activeTools?: ActiveTools<NoInfer<TOOLS>>;\n\n    /**\n     * Controls the order in which tools are sent to the provider.\n     *\n     * The list can be partial. Tools not listed in `toolOrder` are sent after\n     * the listed tools, sorted alphabetically. This can improve provider-side\n     * caching by keeping tool definitions in a stable order.\n     */\n    toolOrder?: ToolOrder<NoInfer<TOOLS>>;\n\n    /**\n     * Optional specification for parsing structured outputs from the LLM response.\n     */\n    output?: OUTPUT;\n\n    /**\n     * Optional tool approval configuration.\n     *\n     * This configuration takes precedence over tool-defined approval settings.\n     */\n    toolApproval?: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT>;\n\n    /**\n     * Configures which caller tools may invoke each tool.\n     */\n    experimental_toolCallers?: Experimental_ToolCallers<NoInfer<TOOLS>>;\n\n    /**\n     * Secret for HMAC-signing tool approval requests. When set, the server\n     * signs each approval request at issuance and verifies the signature when\n     * the approval is replayed, preventing client-forged approvals.\n     */\n    experimental_toolApprovalSecret?: string | Uint8Array;\n\n    /**\n     * Custom download function to use for URLs.\n     *\n     * By default, files are downloaded if the model does not support the URL for the given media type.\n     */\n    experimental_download?: DownloadFunction | undefined;\n\n    /**\n     * Optional function that you can use to provide different settings for a step.\n     */\n    prepareStep?: PrepareStepFunction<NoInfer<TOOLS>, RUNTIME_CONTEXT>;\n\n    /**\n     * A function that attempts to repair a tool call that failed to parse.\n     */\n    repairToolCall?: ToolCallRepairFunction<NoInfer<TOOLS>>;\n\n    /**\n     * A function that attempts to repair a tool call that failed to parse.\n     *\n     * @deprecated Use `repairToolCall` instead.\n     */\n    experimental_repairToolCall?: ToolCallRepairFunction<NoInfer<TOOLS>>;\n\n    /**\n     * Optional mapping of tool names to functions that refine parsed tool inputs.\n     *\n     * The refined input must have the same type shape as the tool input. Refined\n     * inputs are used for tool execution, outputs, callbacks, and telemetry.\n     */\n    experimental_refineToolInput?: ToolInputRefinement<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called when the generateText operation begins,\n     * before any LLM calls are made.\n     */\n    onStart?: GenerateTextOnStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when the generateText operation begins,\n     * before any LLM calls are made.\n     *\n     * @deprecated Use `onStart` instead.\n     */\n    experimental_onStart?: GenerateTextOnStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when a step (LLM call) begins,\n     * before the provider is called.\n     */\n    onStepStart?: GenerateTextOnStepStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when a step (LLM call) begins,\n     * before the provider is called.\n     *\n     * @deprecated Use `onStepStart` instead.\n     */\n    experimental_onStepStart?: GenerateTextOnStepStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called immediately before the provider model call begins.\n     */\n    onLanguageModelCallStart?: OnLanguageModelCallStartCallback;\n\n    /**\n     * Callback that is called immediately before the provider model call begins.\n     *\n     * @deprecated Use `onLanguageModelCallStart` instead.\n     */\n    experimental_onLanguageModelCallStart?: OnLanguageModelCallStartCallback;\n\n    /**\n     * Callback that is called after the model response has been normalized and parsed,\n     * but before any client-side tool execution begins.\n     */\n    onLanguageModelCallEnd?: OnLanguageModelCallEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called after the model response has been normalized and parsed,\n     * but before any client-side tool execution begins.\n     *\n     * @deprecated Use `onLanguageModelCallEnd` instead.\n     */\n    experimental_onLanguageModelCallEnd?: OnLanguageModelCallEndCallback<\n      NoInfer<TOOLS>\n    >;\n\n    /**\n     * Callback that is called right before a tool's execute function runs.\n     */\n    onToolExecutionStart?: OnToolExecutionStartCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right before a tool's execute function runs.\n     *\n     * @deprecated Use `onToolExecutionStart` instead.\n     */\n    experimental_onToolCallStart?: OnToolExecutionStartCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right after a tool's execute function completes (or errors).\n     */\n    onToolExecutionEnd?: OnToolExecutionEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right after a tool's execute function completes (or errors).\n     *\n     * @deprecated Use `onToolExecutionEnd` instead.\n     */\n    experimental_onToolCallFinish?: OnToolExecutionEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called when each step (LLM call) ends, including intermediate steps.\n     */\n    onStepEnd?: GenerateTextOnStepEndCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Callback that is called when each step (LLM call) ends, including intermediate steps.\n     *\n     * @deprecated Use `onStepEnd` instead.\n     */\n    onStepFinish?: GenerateTextOnStepFinishCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Callback that is called when all steps are finished and the response is complete.\n     */\n    onEnd?: GenerateTextOnEndCallback<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>;\n\n    /**\n     * Callback that is called when all steps are finished and the response is complete.\n     *\n     * @deprecated Use `onEnd` instead.\n     */\n    onFinish?: GenerateTextOnEndCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Settings for controlling what data is included in step results.\n     * Disabling inclusion can help reduce memory usage when processing\n     * large payloads like images.\n     *\n     * By default, request bodies, request messages, and response bodies are\n     * excluded.\n     */\n    include?: GenerateTextInclude;\n\n    /**\n     * Settings for controlling what data is included in step results.\n     *\n     * @deprecated Use `include` instead.\n     */\n    experimental_include?: GenerateTextInclude;\n\n    /**\n     * Internal. For test use only. May change without notice.\n     */\n    _internal?: {\n      generateId?: IdGenerator;\n      generateCallId?: IdGenerator;\n      now?: () => number;\n    };\n  }): Promise<GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>> {\n  // assign default values to include:\n  include = {\n    requestBody: include?.requestBody ?? false,\n    requestMessages: include?.requestMessages ?? false,\n    responseBody: include?.responseBody ?? false,\n  };\n\n  const model = resolveLanguageModel(modelArg);\n  const resolvedToolCallers = resolveToolCallerConfiguration({\n    tools,\n    toolCallers: experimental_toolCallers,\n  });\n  const stopConditions = asArray(stopWhen);\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnStepStart = onStepStart ?? experimental_onStepStart;\n  const resolvedOnLanguageModelCallStart =\n    onLanguageModelCallStart ?? experimental_onLanguageModelCallStart;\n  const resolvedOnLanguageModelCallEnd =\n    onLanguageModelCallEnd ?? experimental_onLanguageModelCallEnd;\n  const resolvedOnToolExecutionStart =\n    onToolExecutionStart ?? experimental_onToolCallStart;\n  const resolvedOnToolExecutionEnd =\n    onToolExecutionEnd ?? experimental_onToolCallFinish;\n  const resolvedOnStepEnd = onStepEnd ?? onStepFinish;\n\n  const unsupportedTimeoutWarnings: Warning[] = [];\n\n  if (getFirstChunkTimeoutMs(timeout) != null) {\n    unsupportedTimeoutWarnings.push({\n      type: 'unsupported',\n      feature: 'timeout.firstChunkMs',\n      details:\n        'The firstChunkMs timeout is only supported by streaming functions.',\n    });\n  }\n\n  if (getChunkTimeoutMs(timeout) != null) {\n    unsupportedTimeoutWarnings.push({\n      type: 'unsupported',\n      feature: 'timeout.chunkMs',\n      details: 'The chunkMs timeout is only supported by streaming functions.',\n    });\n  }\n\n  if (unsupportedTimeoutWarnings.length > 0) {\n    logWarnings({\n      warnings: unsupportedTimeoutWarnings,\n      provider: model.provider,\n      model: model.modelId,\n    });\n  }\n\n  const totalTimeoutMs = getTotalTimeoutMs(timeout);\n  const stepTimeoutMs = getStepTimeoutMs(timeout);\n  const stepAbortController =\n    stepTimeoutMs != null ? new AbortController() : undefined;\n  const mergedAbortSignal = mergeAbortSignals(\n    abortSignal,\n    totalTimeoutMs,\n    stepAbortController?.signal,\n  );\n\n  const { maxRetries, retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal: mergedAbortSignal,\n  });\n\n  const callSettings = prepareLanguageModelCallOptions(settings);\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const initialPrompt = await standardizePrompt({\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n  } as Prompt);\n\n  const callId = generateCallId();\n\n  const telemetryDispatcher = createRestrictedTelemetryDispatcher<\n    TOOLS,\n    RUNTIME_CONTEXT,\n    OUTPUT\n  >({\n    telemetry,\n    includeRuntimeContext: telemetry?.includeRuntimeContext,\n    includeToolsContext: telemetry?.includeToolsContext,\n  });\n\n  const runInTracingChannelSpan =\n    telemetryDispatcher.runInTracingChannelSpan ??\n    (async <T>({ execute }: { execute: () => PromiseLike<T> }) =>\n      await execute());\n\n  const generateTextStartEvent = {\n    callId,\n    operationId: 'ai.generateText',\n    provider: model.provider,\n    modelId: model.modelId,\n    instructions: initialPrompt.instructions,\n    messages: initialPrompt.messages,\n    tools,\n    toolChoice,\n    activeTools,\n    toolOrder,\n    maxOutputTokens: callSettings.maxOutputTokens,\n    temperature: callSettings.temperature,\n    topP: callSettings.topP,\n    topK: callSettings.topK,\n    presencePenalty: callSettings.presencePenalty,\n    frequencyPenalty: callSettings.frequencyPenalty,\n    stopSequences: callSettings.stopSequences,\n    seed: callSettings.seed,\n    reasoning: callSettings.reasoning,\n    maxRetries,\n    timeout,\n    headers: headersWithUserAgent,\n    providerOptions,\n    output,\n    runtimeContext,\n    toolsContext,\n  };\n\n  const executeGenerateText = async () => {\n    await notify({\n      event: generateTextStartEvent,\n      callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n    });\n\n    try {\n      const initialMessages = initialPrompt.messages;\n      const initialResponseMessages: Array<ResponseMessage> = [];\n\n      const {\n        approvedToolApprovals,\n        deniedToolApprovals: collectedDeniedToolApprovals,\n      } = collectToolApprovals<TOOLS>({ messages: initialMessages });\n\n      const {\n        approvedToolApprovals: localApprovedToolApprovals,\n        deniedToolApprovals: revalidationDeniedToolApprovals,\n        invalidToolApprovals,\n      } = await validateApprovedToolApprovals<TOOLS, RUNTIME_CONTEXT>({\n        approvedToolApprovals: approvedToolApprovals.filter(\n          toolApproval => !toolApproval.toolCall.providerExecuted,\n        ),\n        tools,\n        toolApproval,\n        messages: initialMessages,\n        toolsContext,\n        runtimeContext,\n        toolApprovalSecret: experimental_toolApprovalSecret,\n      });\n\n      const deniedToolApprovals = [\n        ...collectedDeniedToolApprovals,\n        ...revalidationDeniedToolApprovals,\n      ];\n      const deniedToolApprovalsWithoutResults = deniedToolApprovals.filter(\n        toolApproval => toolApproval.existingToolResult == null,\n      );\n\n      if (\n        deniedToolApprovalsWithoutResults.length > 0 ||\n        localApprovedToolApprovals.length > 0 ||\n        invalidToolApprovals.length > 0\n      ) {\n        const toolResults = await executeTools({\n          toolCalls: localApprovedToolApprovals.map(\n            toolApproval => toolApproval.toolCall,\n          ),\n          tools: tools as TOOLS,\n          callId,\n          messages: initialMessages,\n          abortSignal: mergedAbortSignal,\n          timeout,\n          experimental_sandbox: sandbox,\n          toolsContext,\n          onToolExecutionStart: event =>\n            notify({\n              event,\n              callbacks: [\n                resolvedOnToolExecutionStart,\n                telemetryDispatcher.onToolExecutionStart,\n              ],\n            }),\n          onToolExecutionEnd: event =>\n            notify({\n              event,\n              callbacks: [\n                resolvedOnToolExecutionEnd,\n                telemetryDispatcher.onToolExecutionEnd,\n              ],\n            }),\n          executeToolInTelemetryContext: telemetryDispatcher.executeTool,\n          runInTracingChannelSpan,\n        });\n\n        const toolContent: Array<any> = [];\n\n        // add regular tool results for approved tool calls:\n        for (const result of toolResults) {\n          const output = result.output;\n          const modelOutput = await createToolModelOutput({\n            toolCallId: output.toolCallId,\n            input: output.input,\n            tool: getOwn(tools, output.toolName),\n            output:\n              output.type === 'tool-result' ? output.output : output.error,\n            errorMode: output.type === 'tool-error' ? 'text' : 'none',\n          });\n\n          toolContent.push({\n            type: 'tool-result' as const,\n            toolCallId: output.toolCallId,\n            toolName: output.toolName,\n            output: modelOutput,\n          });\n        }\n\n        // Report invalid approved tool calls to the model without executing\n        // them. Repairing the input after approval would change the operation\n        // that the user authorized.\n        for (const toolApproval of invalidToolApprovals) {\n          toolContent.push({\n            type: 'tool-result' as const,\n            toolCallId: toolApproval.toolCall.toolCallId,\n            toolName: toolApproval.toolCall.toolName,\n            output: await createToolModelOutput({\n              toolCallId: toolApproval.toolCall.toolCallId,\n              input: toolApproval.toolCall.input,\n              tool: getOwn(tools, toolApproval.toolCall.toolName),\n              output: toolApproval.error,\n              errorMode: 'text',\n            }),\n          });\n        }\n\n        // add execution denied tool results for all denied tool approvals:\n        for (const toolApproval of deniedToolApprovalsWithoutResults) {\n          toolContent.push({\n            type: 'tool-result' as const,\n            toolCallId: toolApproval.toolCall.toolCallId,\n            toolName: toolApproval.toolCall.toolName,\n            output: {\n              type: 'execution-denied' as const,\n              reason: toolApproval.approvalResponse.reason,\n              // For provider-executed tools, include approvalId so provider can correlate\n              ...(toolApproval.toolCall.providerExecuted && {\n                providerOptions: {\n                  openai: {\n                    approvalId: toolApproval.approvalResponse.approvalId,\n                  },\n                },\n              }),\n            },\n          });\n        }\n\n        initialResponseMessages.push({\n          role: 'tool',\n          content: toolContent,\n        });\n      }\n\n      const callSettings = prepareLanguageModelCallOptions(settings);\n\n      let currentModelResponse: LanguageModelV4GenerateResult & {\n        response: { id: string; timestamp: Date; modelId: string };\n      };\n      let clientToolCalls: Array<TypedToolCall<TOOLS>> = [];\n      let clientToolOutputs: Array<ToolOutput<TOOLS>> = [];\n      let toolApprovalResponses: Array<ToolApprovalResponseOutput<TOOLS>> = [];\n      let deniedToolApprovalResponses: Array<\n        ToolApprovalResponseOutput<TOOLS>\n      > = [];\n      const steps: GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['steps'] =\n        [];\n      let instructionsForNextStep = initialPrompt.instructions;\n      let messagesForNextStep = [\n        ...initialMessages,\n        ...initialResponseMessages,\n      ];\n\n      // Track provider-executed tool calls that support deferred results\n      // (e.g., code_execution in programmatic tool calling scenarios).\n      // These tools may not return their results in the same turn as their call.\n      const pendingDeferredToolCalls = new Map<string, { toolName: string }>();\n\n      do {\n        if (steps.length > 0) {\n          mergedAbortSignal?.throwIfAborted();\n        }\n\n        // Set up step timeout if configured\n        const stepTimeoutId = setAbortTimeout({\n          abortController: stepAbortController,\n          label: 'Step',\n          timeoutMs: stepTimeoutMs,\n        });\n        const stepNumber = steps.length;\n\n        try {\n          await runInTracingChannelSpan({\n            type: 'step',\n            event: { callId, stepNumber },\n            execute: async () => {\n              const accumulatedResponseMessages = [\n                ...initialResponseMessages,\n                ...steps.flatMap(step => step.response.messages),\n              ];\n              const stepInputMessages = messagesForNextStep;\n\n              const prepareStepResult = await prepareStep?.({\n                model,\n                steps,\n                stepNumber: steps.length,\n                instructions: instructionsForNextStep,\n                initialInstructions: initialPrompt.instructions,\n                messages: stepInputMessages,\n                initialMessages,\n                responseMessages: accumulatedResponseMessages,\n                runtimeContext,\n                toolsContext,\n                experimental_sandbox: sandbox,\n              });\n\n              const stepSandbox =\n                prepareStepResult?.experimental_sandbox ?? sandbox;\n\n              const stepModel = resolveLanguageModel(\n                prepareStepResult?.model ?? model,\n              );\n\n              const stepInstructions =\n                prepareStepResult?.instructions ??\n                prepareStepResult?.system ??\n                instructionsForNextStep;\n\n              const promptMessages = await convertToLanguageModelPrompt({\n                prompt: {\n                  instructions: stepInstructions,\n                  messages: prepareStepResult?.messages ?? stepInputMessages,\n                },\n                supportedUrls: await stepModel.supportedUrls,\n                download,\n                provider: stepModel.provider.split('.')[0],\n              });\n\n              runtimeContext =\n                prepareStepResult?.runtimeContext ?? runtimeContext;\n              toolsContext = prepareStepResult?.toolsContext ?? toolsContext;\n\n              const stepActiveTools = filterActiveTools({\n                tools,\n                activeTools: prepareStepResult?.activeTools ?? activeTools,\n              });\n              const {\n                executionTools: stepExecutionTools,\n                modelTools: stepModelTools,\n              } = prepareToolsForToolCallers({\n                tools: stepActiveTools,\n                toolCallers: resolvedToolCallers,\n              });\n              const stepToolOrder = prepareStepResult?.toolOrder ?? toolOrder;\n\n              const stepTools = await prepareTools({\n                tools: stepModelTools as ActiveToolSubset<\n                  TOOLS,\n                  ActiveTools<NoInfer<TOOLS>>\n                >,\n                toolOrder: stepToolOrder as ToolOrder<\n                  ActiveToolSubset<TOOLS, ActiveTools<NoInfer<TOOLS>>>\n                >,\n                // active tools context is a subset of the tools context, so we can cast to the unknown type\n                toolsContext: toolsContext as unknown as InferToolSetContext<\n                  ActiveToolSubset<TOOLS, ActiveTools<NoInfer<TOOLS>>>\n                >,\n                experimental_sandbox: stepSandbox,\n              });\n\n              const stepToolChoice = prepareToolChoice({\n                toolChoice: prepareStepResult?.toolChoice ?? toolChoice,\n              });\n\n              const stepMessages =\n                prepareStepResult?.messages ?? stepInputMessages;\n\n              const stepProviderOptions = mergeObjects(\n                providerOptions,\n                prepareStepResult?.providerOptions,\n              );\n\n              const stepCallSettings = prepareStepCallSettings({\n                callSettings,\n                stepSettings: prepareStepResult,\n              });\n\n              await notify({\n                event: {\n                  callId,\n                  provider: stepModel.provider,\n                  modelId: stepModel.modelId,\n                  stepNumber,\n                  instructions: stepInstructions,\n                  messages: stepMessages,\n                  tools,\n                  toolChoice: prepareStepResult?.toolChoice ?? toolChoice,\n                  activeTools: prepareStepResult?.activeTools ?? activeTools,\n                  toolOrder: stepToolOrder,\n                  steps: [...steps],\n                  providerOptions: stepProviderOptions,\n                  output,\n                  runtimeContext,\n                  promptMessages,\n                  stepTools,\n                  stepToolChoice,\n                  toolsContext,\n                },\n                callbacks: [\n                  resolvedOnStepStart,\n                  telemetryDispatcher.onStepStart,\n                ],\n              });\n\n              const languageModelCallContext = {\n                provider: stepModel.provider,\n                modelId: stepModel.modelId,\n                instructions: stepInstructions,\n                messages: stepMessages,\n                tools: stepTools,\n                ...stepCallSettings,\n              };\n              const languageModelCallStartEvent = {\n                callId,\n                ...languageModelCallContext,\n              };\n\n              const stepStartTimestampMs = now();\n\n              await notify({\n                event: languageModelCallStartEvent,\n                callbacks: [\n                  resolvedOnLanguageModelCallStart,\n                  telemetryDispatcher.onLanguageModelCallStart as\n                    | undefined\n                    | OnLanguageModelCallStartCallback,\n                ],\n              });\n\n              const executeLanguageModelCallInTelemetryContext =\n                telemetryDispatcher.executeLanguageModelCall ??\n                (async <T>({ execute }: { execute: () => PromiseLike<T> }) =>\n                  await execute());\n\n              currentModelResponse = await retry(async () => {\n                const result = await executeLanguageModelCallInTelemetryContext(\n                  {\n                    ...languageModelCallStartEvent,\n                    execute: async () =>\n                      await stepModel.doGenerate({\n                        ...stepCallSettings,\n                        tools: stepTools,\n                        toolChoice: stepToolChoice,\n                        responseFormat: await output?.responseFormat,\n                        prompt: promptMessages,\n                        providerOptions: stepProviderOptions,\n                        abortSignal: mergedAbortSignal,\n                        headers: headersWithUserAgent,\n                      }),\n                  },\n                );\n\n                const responseData = {\n                  id: result.response?.id ?? generateId(),\n                  timestamp: result.response?.timestamp ?? new Date(),\n                  modelId: result.response?.modelId ?? stepModel.modelId,\n                  headers: result.response?.headers,\n                  body: result.response?.body,\n                };\n\n                return { ...result, response: responseData };\n              });\n              const responseTimeMs = now() - stepStartTimestampMs;\n              const stepUsage = asLanguageModelUsage(\n                currentModelResponse.usage,\n              );\n\n              // parse tool calls:\n              const stepToolCalls: TypedToolCall<TOOLS>[] = await Promise.all(\n                currentModelResponse.content\n                  .filter(\n                    (part): part is LanguageModelV4ToolCall =>\n                      part.type === 'tool-call',\n                  )\n                  .map(toolCall =>\n                    parseToolCall({\n                      toolCall,\n                      tools: stepExecutionTools as TOOLS,\n                      repairToolCall,\n                      refineToolInput,\n                      instructions: stepInstructions,\n                      messages: stepMessages,\n                    }),\n                  ),\n              );\n              const toolApprovalRequests: Record<\n                string,\n                ToolApprovalRequestOutput<TOOLS>\n              > = {};\n              const stepToolApprovalResponses: Record<\n                string,\n                ToolApprovalResponseOutput<TOOLS>\n              > = {};\n              const blockedToolCallIds = new Set<string>();\n\n              const modelCallContent = asContent({\n                content: currentModelResponse.content,\n                toolCalls: stepToolCalls,\n                toolOutputs: [],\n                toolApprovalRequests: [],\n                toolApprovalResponses: [],\n                tools,\n              });\n\n              await notify({\n                event: {\n                  callId,\n                  provider: stepModel.provider,\n                  modelId: currentModelResponse.response.modelId,\n                  finishReason: currentModelResponse.finishReason.unified,\n                  usage: stepUsage,\n                  content: modelCallContent,\n                  responseId: currentModelResponse.response.id,\n                  ...(currentModelResponse.providerMetadata != null\n                    ? {\n                        providerMetadata: currentModelResponse.providerMetadata,\n                      }\n                    : {}),\n                  performance: {\n                    responseTimeMs,\n                    effectiveOutputTokensPerSecond: calculateTokensPerSecond({\n                      tokens: stepUsage.outputTokens,\n                      durationMs: responseTimeMs,\n                    }),\n                    outputTokensPerSecond: undefined,\n                    inputTokensPerSecond: undefined,\n                    effectiveTotalTokensPerSecond: calculateTokensPerSecond({\n                      tokens: sumTokenCounts(\n                        stepUsage.inputTokens,\n                        stepUsage.outputTokens,\n                      ),\n                      durationMs: responseTimeMs,\n                    }),\n                    timeToFirstOutputMs: undefined,\n                  },\n                },\n                callbacks: [\n                  resolvedOnLanguageModelCallEnd,\n                  telemetryDispatcher.onLanguageModelCallEnd as\n                    | undefined\n                    | OnLanguageModelCallEndCallback<TOOLS>,\n                ],\n              });\n\n              // notify the tools that the tool calls are available:\n              for (const toolCall of stepToolCalls) {\n                if (toolCall.invalid) {\n                  continue; // ignore invalid tool calls\n                }\n\n                const tool = getOwn(stepExecutionTools, toolCall.toolName);\n\n                if (tool == null) {\n                  // ignore tool calls for tools that are not available,\n                  // e.g. provider-executed dynamic tools\n                  continue;\n                }\n\n                if (tool.onInputStart != null) {\n                  await tool.onInputStart({\n                    toolCallId: toolCall.toolCallId,\n                    messages: stepMessages,\n                    abortSignal: mergedAbortSignal,\n                    context: runtimeContext,\n                  });\n                }\n\n                if (tool?.onInputAvailable != null) {\n                  await tool.onInputAvailable({\n                    input: toolCall.input,\n                    toolCallId: toolCall.toolCallId,\n                    messages: stepMessages,\n                    abortSignal: mergedAbortSignal,\n                    context: runtimeContext,\n                  });\n                }\n\n                const toolApprovalStatus = await resolveToolApproval({\n                  tools: stepExecutionTools as TOOLS,\n                  toolApproval,\n                  toolCall,\n                  messages: stepMessages,\n                  toolsContext,\n                  runtimeContext,\n                });\n\n                // Tools that don't require approval ('not-applicable') must not\n                // consume an approval id, so that id generation stays stable for\n                // callers that rely on deterministic id sequences.\n                if (toolApprovalStatus.type === 'not-applicable') {\n                  continue;\n                }\n\n                const approvalId = generateId();\n                const signature = await maybeSignApproval({\n                  secret: experimental_toolApprovalSecret,\n                  approvalId,\n                  toolCallId: toolCall.toolCallId,\n                  toolName: toolCall.toolName,\n                  input: toolCall.input,\n                });\n\n                switch (toolApprovalStatus.type) {\n                  case 'user-approval': {\n                    toolApprovalRequests[toolCall.toolCallId] = {\n                      type: 'tool-approval-request',\n                      approvalId,\n                      toolCall,\n                      ...(signature != null ? { signature } : {}),\n                    };\n                    blockedToolCallIds.add(toolCall.toolCallId);\n                    break;\n                  }\n\n                  case 'approved': {\n                    toolApprovalRequests[toolCall.toolCallId] = {\n                      type: 'tool-approval-request',\n                      approvalId,\n                      toolCall,\n                      isAutomatic: true,\n                      ...(signature != null ? { signature } : {}),\n                    };\n                    stepToolApprovalResponses[toolCall.toolCallId] = {\n                      type: 'tool-approval-response',\n                      approvalId,\n                      toolCall,\n                      approved: true,\n                      reason: toolApprovalStatus.reason,\n                      providerExecuted: toolCall.providerExecuted,\n                    };\n                    break;\n                  }\n\n                  case 'denied': {\n                    toolApprovalRequests[toolCall.toolCallId] = {\n                      type: 'tool-approval-request',\n                      approvalId,\n                      toolCall,\n                      isAutomatic: true,\n                      ...(signature != null ? { signature } : {}),\n                    };\n                    stepToolApprovalResponses[toolCall.toolCallId] = {\n                      type: 'tool-approval-response',\n                      approvalId,\n                      toolCall,\n                      approved: false,\n                      reason: toolApprovalStatus.reason,\n                      providerExecuted: toolCall.providerExecuted,\n                    };\n                    blockedToolCallIds.add(toolCall.toolCallId);\n                    break;\n                  }\n                }\n              }\n\n              // insert error tool outputs for invalid tool calls:\n              // TODO AI SDK 6: invalid inputs should not require output parts\n              const invalidToolCalls = stepToolCalls.filter(\n                toolCall =>\n                  toolCall.invalid &&\n                  toolCall.dynamic &&\n                  !toolCall.providerExecuted,\n              );\n\n              clientToolOutputs = [];\n\n              for (const toolCall of invalidToolCalls) {\n                clientToolOutputs.push({\n                  type: 'tool-error',\n                  toolCallId: toolCall.toolCallId,\n                  toolName: toolCall.toolName,\n                  input: toolCall.input,\n                  error: getErrorMessage(toolCall.error!),\n                  dynamic: true,\n                });\n              }\n\n              // execute client tool calls:\n              clientToolCalls = stepToolCalls.filter(\n                toolCall => !toolCall.providerExecuted,\n              );\n              toolApprovalResponses = Object.values(stepToolApprovalResponses);\n              deniedToolApprovalResponses = toolApprovalResponses.filter(\n                toolApprovalResponse => toolApprovalResponse.approved === false,\n              );\n              const toolExecutionMs: Record<string, number> = {};\n\n              if (\n                stepExecutionTools != null &&\n                isToolExecutionAllowedFinishReason(\n                  currentModelResponse.finishReason.unified,\n                )\n              ) {\n                const toolExecutionResults = await executeTools({\n                  toolCalls: clientToolCalls.filter(\n                    toolCall =>\n                      !toolCall.invalid &&\n                      !blockedToolCallIds.has(toolCall.toolCallId),\n                  ),\n                  tools: stepExecutionTools as TOOLS,\n                  callId,\n                  messages: stepMessages,\n                  abortSignal: mergedAbortSignal,\n                  timeout,\n                  experimental_sandbox: stepSandbox,\n                  toolsContext,\n                  onToolExecutionStart: event =>\n                    notify({\n                      event,\n                      callbacks: [\n                        resolvedOnToolExecutionStart,\n                        telemetryDispatcher.onToolExecutionStart,\n                      ],\n                    }),\n                  onToolExecutionEnd: event =>\n                    notify({\n                      event,\n                      callbacks: [\n                        resolvedOnToolExecutionEnd,\n                        telemetryDispatcher.onToolExecutionEnd,\n                      ],\n                    }),\n                  executeToolInTelemetryContext:\n                    telemetryDispatcher.executeTool,\n                  runInTracingChannelSpan,\n                });\n\n                for (const result of toolExecutionResults) {\n                  toolExecutionMs[result.output.toolCallId] =\n                    result.toolExecutionMs;\n                  clientToolOutputs.push(result.output);\n                }\n              }\n\n              const stepTimeMs = now() - stepStartTimestampMs;\n              const stepPerformance: StepResultPerformance = {\n                effectiveOutputTokensPerSecond: calculateTokensPerSecond({\n                  tokens: stepUsage.outputTokens,\n                  durationMs: responseTimeMs,\n                }),\n                outputTokensPerSecond: undefined,\n                inputTokensPerSecond: undefined,\n                effectiveTotalTokensPerSecond: calculateTokensPerSecond({\n                  tokens: sumTokenCounts(\n                    stepUsage.inputTokens,\n                    stepUsage.outputTokens,\n                  ),\n                  durationMs: responseTimeMs,\n                }),\n                stepTimeMs,\n                responseTimeMs,\n                toolExecutionMs,\n                timeToFirstOutputMs: undefined,\n              };\n\n              // Track provider-executed tool calls that support deferred results.\n              // In programmatic tool calling, a server tool (e.g., code_execution) may\n              // trigger a client tool, and the server tool's result is deferred until\n              // the client tool's result is sent back.\n              for (const toolCall of stepToolCalls) {\n                if (!toolCall.providerExecuted) continue;\n                const tool = getOwn(stepExecutionTools, toolCall.toolName);\n                if (tool?.type === 'provider' && tool.supportsDeferredResults) {\n                  // Check if this tool call already has a result in the current response\n                  const hasResultInResponse = currentModelResponse.content.some(\n                    part =>\n                      part.type === 'tool-result' &&\n                      part.toolCallId === toolCall.toolCallId,\n                  );\n                  if (!hasResultInResponse) {\n                    pendingDeferredToolCalls.set(toolCall.toolCallId, {\n                      toolName: toolCall.toolName,\n                    });\n                  }\n                }\n              }\n\n              // Mark deferred tool calls as resolved when we receive their results\n              for (const part of currentModelResponse.content) {\n                if (part.type === 'tool-result') {\n                  pendingDeferredToolCalls.delete(part.toolCallId);\n                }\n              }\n\n              // content:\n              const stepContent = asContent({\n                content: currentModelResponse.content,\n                toolCalls: stepToolCalls,\n                toolOutputs: clientToolOutputs,\n                toolApprovalRequests: Object.values(toolApprovalRequests),\n                toolApprovalResponses,\n                tools,\n              });\n\n              const stepResponseMessages = await toResponseMessages({\n                content: stepContent,\n                tools,\n              });\n\n              // Add step information (after response messages are updated):\n              // Conditionally include request.body and response.body based on include settings.\n              // Large payloads (e.g., base64-encoded images) can cause memory issues.\n              const stepRequest: LanguageModelRequestMetadata = {\n                ...currentModelResponse.request,\n                body: include.requestBody\n                  ? currentModelResponse.request?.body\n                  : undefined,\n                messages: include.requestMessages\n                  ? cloneModelMessages(stepMessages)\n                  : undefined,\n              };\n\n              const stepResponse = {\n                ...currentModelResponse.response,\n                // deep clone msgs to avoid mutating step results in multi-step:\n                messages: cloneModelMessages(stepResponseMessages),\n                // Conditionally include response body:\n                body: include.responseBody\n                  ? currentModelResponse.response?.body\n                  : undefined,\n              };\n\n              const currentStepResult: StepResult<TOOLS, RUNTIME_CONTEXT> =\n                new DefaultStepResult({\n                  callId,\n                  stepNumber,\n                  provider: stepModel.provider,\n                  modelId: stepModel.modelId,\n                  runtimeContext,\n                  content: stepContent,\n                  finishReason: currentModelResponse.finishReason.unified,\n                  rawFinishReason: currentModelResponse.finishReason.raw,\n                  usage: stepUsage,\n                  performance: stepPerformance,\n                  warnings: currentModelResponse.warnings,\n                  providerMetadata: currentModelResponse.providerMetadata,\n                  request: stepRequest,\n                  response: stepResponse,\n                  toolsContext,\n                });\n\n              logWarnings({\n                warnings: currentModelResponse.warnings ?? [],\n                provider: stepModel.provider,\n                model: stepModel.modelId,\n              });\n\n              steps.push(currentStepResult);\n              instructionsForNextStep = stepInstructions;\n              messagesForNextStep = [...stepMessages, ...stepResponseMessages];\n\n              await notify({\n                event: currentStepResult,\n                callbacks: [resolvedOnStepEnd, telemetryDispatcher.onStepEnd],\n              });\n\n              return currentStepResult;\n            },\n          });\n        } finally {\n          if (stepTimeoutId != null) {\n            clearTimeout(stepTimeoutId);\n          }\n        }\n      } while (\n        // Continue only after all client tool calls have been executed or denied,\n        // and if there are client results or pending deferred provider results.\n        clientToolOutputs.length + deniedToolApprovalResponses.length ===\n          clientToolCalls.length &&\n        (clientToolCalls.length > 0 || pendingDeferredToolCalls.size > 0) &&\n        // continue until a stop condition is met:\n        !(await isStopConditionMet({ stopConditions, steps }))\n      );\n\n      const lastStep = steps[steps.length - 1];\n\n      const totalUsage = steps.reduce(\n        (totalUsage, step) => {\n          return addLanguageModelUsage(totalUsage, step.usage);\n        },\n        {\n          inputTokens: undefined,\n          inputTokenDetails: {\n            noCacheTokens: undefined,\n            cacheReadTokens: undefined,\n            cacheWriteTokens: undefined,\n          },\n          outputTokens: undefined,\n          outputTokenDetails: {\n            textTokens: undefined,\n            reasoningTokens: undefined,\n          },\n          totalTokens: undefined,\n        } as LanguageModelUsage,\n      );\n\n      const files = steps.flatMap(step => step.files);\n      const sources = steps.flatMap(step => step.sources);\n      const toolCalls = steps.flatMap(step => step.toolCalls);\n      const staticToolCalls = steps.flatMap(step => step.staticToolCalls);\n      const dynamicToolCalls = steps.flatMap(step => step.dynamicToolCalls);\n      const toolResults = steps.flatMap(step => step.toolResults);\n      const staticToolResults = steps.flatMap(step => step.staticToolResults);\n      const dynamicToolResults = steps.flatMap(step => step.dynamicToolResults);\n      const warnings = steps.flatMap(step => step.warnings ?? []);\n\n      const onEndEvent = {\n        callId,\n        stepNumber: lastStep.stepNumber,\n        model: lastStep.model,\n        runtimeContext: lastStep.runtimeContext,\n        finishReason: lastStep.finishReason,\n        rawFinishReason: lastStep.rawFinishReason,\n        usage: totalUsage,\n        totalUsage,\n        content: steps.flatMap(step => step.content),\n        text: lastStep.text,\n        reasoning: lastStep.reasoning,\n        reasoningText: lastStep.reasoningText,\n        files,\n        sources,\n        toolCalls,\n        staticToolCalls,\n        dynamicToolCalls,\n        toolResults,\n        staticToolResults,\n        dynamicToolResults,\n        responseMessages: [\n          ...initialResponseMessages,\n          ...steps.flatMap(step => step.response.messages),\n        ],\n        warnings,\n        request: lastStep.request,\n        response: lastStep.response,\n        providerMetadata: lastStep.providerMetadata,\n        steps,\n        finalStep: lastStep,\n        toolsContext,\n      };\n\n      await notify({\n        event: onEndEvent,\n        callbacks: [onEnd, telemetryDispatcher.onEnd],\n      });\n\n      // parse output only if the last step was finished with \"stop\":\n      let resolvedOutput;\n      if (lastStep.finishReason === 'stop') {\n        const outputSpecification = output ?? text();\n        resolvedOutput = await outputSpecification.parseCompleteOutput(\n          { text: lastStep.text },\n          {\n            response: lastStep.response,\n            usage: lastStep.usage,\n            finishReason: lastStep.finishReason,\n          },\n        );\n      }\n\n      return new DefaultGenerateTextResult({\n        initialResponseMessages,\n        steps,\n        totalUsage,\n        output: resolvedOutput,\n      });\n    } catch (error) {\n      await telemetryDispatcher.onError?.({ callId, error });\n      throw wrapGatewayError(error);\n    }\n  };\n\n  return await runInTracingChannelSpan({\n    type: 'generateText',\n    event: generateTextStartEvent,\n    execute: executeGenerateText,\n  });\n}\n\nasync function executeTools<TOOLS extends ToolSet>({\n  toolCalls,\n  tools,\n  callId,\n  messages,\n  abortSignal,\n  timeout,\n  experimental_sandbox: sandbox,\n  toolsContext,\n  onToolExecutionStart,\n  onToolExecutionEnd,\n  executeToolInTelemetryContext,\n  runInTracingChannelSpan,\n}: {\n  toolCalls: Array<TypedToolCall<TOOLS>>;\n  tools: TOOLS;\n  callId: string;\n  messages: ModelMessage[];\n  abortSignal: AbortSignal | undefined;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  toolsContext: InferToolSetContext<TOOLS>;\n  onToolExecutionStart?: OnToolExecutionStartCallback<TOOLS>;\n  onToolExecutionEnd?: OnToolExecutionEndCallback<TOOLS>;\n  executeToolInTelemetryContext?: Telemetry['executeTool'];\n  runInTracingChannelSpan?: NonNullable<\n    TelemetryDispatcher['runInTracingChannelSpan']\n  >;\n}): Promise<\n  Array<{\n    output: ToolOutput<TOOLS>;\n    toolExecutionMs: number;\n  }>\n> {\n  const toolResults = await Promise.all(\n    toolCalls.map(\n      async toolCall =>\n        await executeToolCall({\n          toolCall,\n          tools,\n          callId,\n          messages,\n          abortSignal,\n          timeout,\n          experimental_sandbox: sandbox,\n          toolsContext,\n          onToolExecutionStart,\n          onToolExecutionEnd,\n          executeToolInTelemetryContext,\n          runInTracingChannelSpan,\n        }),\n    ),\n  );\n\n  return toolResults.filter(\n    (result): result is NonNullable<typeof result> => result != null,\n  );\n}\n\nclass DefaultGenerateTextResult<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n  OUTPUT extends Output,\n> implements GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT> {\n  readonly steps: GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['steps'];\n  readonly totalUsage: LanguageModelUsage;\n  private readonly _output: InferCompleteOutput<OUTPUT> | undefined;\n\n  constructor(options: {\n    initialResponseMessages: Array<ResponseMessage>;\n    steps: GenerateTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['steps'];\n    output: InferCompleteOutput<OUTPUT> | undefined;\n    totalUsage: LanguageModelUsage;\n  }) {\n    this.initialResponseMessages = options.initialResponseMessages;\n    this.steps = options.steps;\n    this._output = options.output;\n    this.totalUsage = options.totalUsage;\n  }\n\n  private readonly initialResponseMessages: Array<ResponseMessage>;\n\n  get finalStep() {\n    return this.steps.at(-1)!;\n  }\n\n  get content() {\n    return this.steps.flatMap(step => step.content);\n  }\n\n  get text() {\n    return this.finalStep.text;\n  }\n\n  get files() {\n    return this.steps.flatMap(step => step.files);\n  }\n\n  get reasoningText() {\n    return this.finalStep.reasoningText;\n  }\n\n  get reasoning() {\n    return convertToReasoningOutputs(this.finalStep.reasoning);\n  }\n\n  get toolCalls() {\n    return this.steps.flatMap(step => step.toolCalls);\n  }\n\n  get staticToolCalls() {\n    return this.steps.flatMap(step => step.staticToolCalls);\n  }\n\n  get dynamicToolCalls() {\n    return this.steps.flatMap(step => step.dynamicToolCalls);\n  }\n\n  get toolResults() {\n    return this.steps.flatMap(step => step.toolResults);\n  }\n\n  get staticToolResults() {\n    return this.steps.flatMap(step => step.staticToolResults);\n  }\n\n  get dynamicToolResults() {\n    return this.steps.flatMap(step => step.dynamicToolResults);\n  }\n\n  get sources() {\n    return this.steps.flatMap(step => step.sources);\n  }\n\n  get finishReason() {\n    return this.finalStep.finishReason;\n  }\n\n  get rawFinishReason() {\n    return this.finalStep.rawFinishReason;\n  }\n\n  get warnings() {\n    return this.steps.flatMap(step => step.warnings ?? []);\n  }\n\n  get providerMetadata() {\n    return this.finalStep.providerMetadata;\n  }\n\n  get response() {\n    return this.finalStep.response;\n  }\n\n  get responseMessages() {\n    return [\n      ...this.initialResponseMessages,\n      ...this.steps.flatMap(step => step.response.messages),\n    ];\n  }\n\n  get request() {\n    return this.finalStep.request;\n  }\n\n  get usage() {\n    return this.totalUsage;\n  }\n\n  get output() {\n    if (this._output == null) {\n      throw new NoOutputGeneratedError();\n    }\n\n    return this._output;\n  }\n}\n\nfunction asContent<TOOLS extends ToolSet>({\n  content,\n  toolCalls,\n  toolOutputs,\n  toolApprovalRequests,\n  toolApprovalResponses,\n  tools,\n}: {\n  content: Array<LanguageModelV4Content>;\n  toolCalls: Array<TypedToolCall<TOOLS>>;\n  toolOutputs: Array<ToolOutput<TOOLS>>;\n  toolApprovalRequests: Array<ToolApprovalRequestOutput<TOOLS>>;\n  toolApprovalResponses: Array<ToolApprovalResponseOutput<TOOLS>>;\n  tools: TOOLS | undefined;\n}): Array<ContentPart<TOOLS>> {\n  const contentParts: Array<ContentPart<TOOLS>> = [];\n  const toolOutputsWithApprovalResponses: Array<ToolOutput<TOOLS>> = [];\n  const toolOutputsWithoutApprovalResponses: Array<ToolOutput<TOOLS>> = [];\n  const toolCallIdsWithApprovalResponses = new Set(\n    toolApprovalResponses.map(\n      toolApprovalResponse => toolApprovalResponse.toolCall.toolCallId,\n    ),\n  );\n\n  for (const part of content) {\n    switch (part.type) {\n      case 'text':\n      case 'reasoning':\n      case 'custom':\n      case 'source':\n        contentParts.push(part);\n        break;\n\n      case 'file':\n      case 'reasoning-file': {\n        contentParts.push({\n          type: part.type as 'file' | 'reasoning-file',\n          file: new DefaultGeneratedFile({\n            data:\n              part.data.type === 'data'\n                ? part.data.data\n                : part.data.url.toString(),\n            mediaType: part.mediaType,\n          }),\n          ...(part.providerMetadata != null\n            ? { providerMetadata: part.providerMetadata }\n            : {}),\n        });\n        break;\n      }\n\n      case 'tool-call': {\n        contentParts.push(\n          toolCalls.find(toolCall => toolCall.toolCallId === part.toolCallId)!,\n        );\n        break;\n      }\n\n      case 'tool-result': {\n        const toolCall = toolCalls.find(\n          toolCall => toolCall.toolCallId === part.toolCallId,\n        );\n\n        // Handle deferred results for provider-executed tools (e.g., programmatic tool calling).\n        // When a server tool (like code_execution) triggers a client tool, the server tool's\n        // result may be deferred to a later turn. In this case, there's no matching tool-call\n        // in the current response.\n        if (toolCall == null) {\n          const tool = getOwn(tools, part.toolName);\n          const supportsDeferredResults =\n            tool?.type === 'provider' && tool.supportsDeferredResults;\n\n          if (!supportsDeferredResults) {\n            throw new Error(`Tool call ${part.toolCallId} not found.`);\n          }\n\n          // Create tool result without tool call input (deferred result)\n          if (part.isError) {\n            contentParts.push({\n              type: 'tool-error' as const,\n              toolCallId: part.toolCallId,\n              toolName: part.toolName as keyof TOOLS & string,\n              input: undefined,\n              error: part.result,\n              providerExecuted: true,\n              dynamic: part.dynamic,\n              ...(part.providerMetadata != null\n                ? { providerMetadata: part.providerMetadata }\n                : {}),\n              ...(tool?.metadata != null\n                ? { toolMetadata: tool.metadata }\n                : {}),\n            } as TypedToolError<TOOLS>);\n          } else {\n            contentParts.push({\n              type: 'tool-result' as const,\n              toolCallId: part.toolCallId,\n              toolName: part.toolName as keyof TOOLS & string,\n              input: undefined,\n              output: part.result,\n              providerExecuted: true,\n              dynamic: part.dynamic,\n              ...(part.providerMetadata != null\n                ? { providerMetadata: part.providerMetadata }\n                : {}),\n              ...(tool?.metadata != null\n                ? { toolMetadata: tool.metadata }\n                : {}),\n            } as TypedToolResult<TOOLS>);\n          }\n          break;\n        }\n\n        if (part.isError) {\n          contentParts.push({\n            type: 'tool-error' as const,\n            toolCallId: part.toolCallId,\n            toolName: part.toolName as keyof TOOLS & string,\n            input: toolCall.input,\n            error: part.result,\n            providerExecuted: true,\n            dynamic: toolCall.dynamic,\n            ...(part.providerMetadata != null\n              ? { providerMetadata: part.providerMetadata }\n              : {}),\n            ...(toolCall.toolMetadata != null\n              ? { toolMetadata: toolCall.toolMetadata }\n              : {}),\n          } as TypedToolError<TOOLS>);\n        } else {\n          contentParts.push({\n            type: 'tool-result' as const,\n            toolCallId: part.toolCallId,\n            toolName: part.toolName as keyof TOOLS & string,\n            input: toolCall.input,\n            output: part.result,\n            providerExecuted: true,\n            dynamic: toolCall.dynamic,\n            ...(part.providerMetadata != null\n              ? { providerMetadata: part.providerMetadata }\n              : {}),\n            ...(toolCall.toolMetadata != null\n              ? { toolMetadata: toolCall.toolMetadata }\n              : {}),\n          } as TypedToolResult<TOOLS>);\n        }\n        break;\n      }\n\n      case 'tool-approval-request': {\n        const toolCall = toolCalls.find(\n          toolCall => toolCall.toolCallId === part.toolCallId,\n        );\n\n        if (toolCall == null) {\n          throw new ToolCallNotFoundForApprovalError({\n            toolCallId: part.toolCallId,\n            approvalId: part.approvalId,\n          });\n        }\n\n        contentParts.push({\n          type: 'tool-approval-request' as const,\n          approvalId: part.approvalId,\n          toolCall,\n        });\n        break;\n      }\n    }\n  }\n\n  for (const toolOutput of toolOutputs) {\n    if (toolCallIdsWithApprovalResponses.has(toolOutput.toolCallId)) {\n      toolOutputsWithApprovalResponses.push(toolOutput);\n    } else {\n      toolOutputsWithoutApprovalResponses.push(toolOutput);\n    }\n  }\n\n  return [\n    ...contentParts,\n    ...toolOutputsWithoutApprovalResponses,\n    ...toolApprovalRequests,\n    ...toolApprovalResponses,\n    ...toolOutputsWithApprovalResponses,\n  ];\n}\n", "export {\n  AISDKError,\n  APICallError,\n  EmptyResponseBodyError,\n  InvalidPromptError,\n  InvalidResponseDataError,\n  JSONParseError,\n  LoadAPIKeyError,\n  LoadSettingError,\n  NoContentGeneratedError,\n  NoSuchModelError,\n  NoSuchProviderReferenceError,\n  TooManyEmbeddingValuesForCallError,\n  TypeValidationError,\n  UnsupportedFunctionalityError,\n} from '@ai-sdk/provider';\n\nexport { InvalidArgumentError } from './invalid-argument-error';\nexport { InvalidStreamPartError } from './invalid-stream-part-error';\nexport { InvalidToolApprovalError } from './invalid-tool-approval-error';\nexport { InvalidToolApprovalSignatureError } from './invalid-tool-approval-signature-error';\nexport { InvalidToolInputError } from './invalid-tool-input-error';\nexport { ToolCallNotFoundForApprovalError } from './tool-call-not-found-for-approval-error';\nexport { MissingToolResultsError } from './missing-tool-result-error';\nexport { NoImageGeneratedError } from './no-image-generated-error';\nexport { NoObjectGeneratedError } from './no-object-generated-error';\nexport { NoOutputGeneratedError } from './no-output-generated-error';\nexport { NoSpeechGeneratedError } from './no-speech-generated-error';\nexport { NoTranscriptGeneratedError } from './no-transcript-generated-error';\nexport { NoTranslationGeneratedError } from './no-translation-generated-error';\nexport { NoVideoGeneratedError } from './no-video-generated-error';\nexport { NoSuchToolError } from './no-such-tool-error';\nexport { ToolCallRepairError } from './tool-call-repair-error';\nexport { UnsupportedModelVersionError } from './unsupported-model-version-error';\nexport { UIMessageStreamError } from './ui-message-stream-error';\nexport { InvalidDataContentError } from '../prompt/invalid-data-content-error';\nexport { InvalidMessageRoleError } from '../prompt/invalid-message-role-error';\nexport { MessageConversionError } from '../prompt/message-conversion-error';\nexport { DownloadError } from '@ai-sdk/provider-utils';\nexport { RetryError } from '../util/retry-error';\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidArgumentError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidArgumentError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly parameter: string;\n  readonly value: unknown;\n\n  constructor({\n    parameter,\n    value,\n    message,\n  }: {\n    parameter: string;\n    value: unknown;\n    message: string;\n  }) {\n    super({\n      name,\n      message: `Invalid argument for parameter ${parameter}: ${message}`,\n    });\n\n    this.parameter = parameter;\n    this.value = value;\n  }\n\n  static isInstance(error: unknown): error is InvalidArgumentError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { LanguageModelStreamPart } from '../generate-text/stream-language-model-call';\n\nconst name = 'AI_InvalidStreamPartError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidStreamPartError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly chunk: LanguageModelStreamPart<any>;\n\n  constructor({\n    chunk,\n    message,\n  }: {\n    chunk: LanguageModelStreamPart<any>;\n    message: string;\n  }) {\n    super({ name, message });\n\n    this.chunk = chunk;\n  }\n\n  static isInstance(error: unknown): error is InvalidStreamPartError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidToolApprovalError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidToolApprovalError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly approvalId: string;\n\n  constructor({ approvalId }: { approvalId: string }) {\n    super({\n      name,\n      message:\n        `Tool approval response references unknown approvalId: \"${approvalId}\". ` +\n        `No matching tool-approval-request found in message history.`,\n    });\n\n    this.approvalId = approvalId;\n  }\n\n  static isInstance(error: unknown): error is InvalidToolApprovalError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidToolApprovalSignatureError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidToolApprovalSignatureError extends AISDKError {\n  private readonly [symbol] = true;\n\n  readonly approvalId: string;\n  readonly toolCallId: string;\n\n  constructor({\n    approvalId,\n    toolCallId,\n    reason,\n  }: {\n    approvalId: string;\n    toolCallId: string;\n    reason: string;\n  }) {\n    super({\n      name,\n      message: `Tool approval signature verification failed for approval \"${approvalId}\" (tool call \"${toolCallId}\"): ${reason}`,\n    });\n    this.approvalId = approvalId;\n    this.toolCallId = toolCallId;\n  }\n\n  static isInstance(\n    error: unknown,\n  ): error is InvalidToolApprovalSignatureError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError, getErrorMessage } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidToolInputError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidToolInputError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly toolName: string;\n  readonly toolInput: string;\n\n  constructor({\n    toolInput,\n    toolName,\n    cause,\n    message = `Invalid input for tool ${toolName}: ${getErrorMessage(cause)}`,\n  }: {\n    message?: string;\n    toolInput: string;\n    toolName: string;\n    cause: unknown;\n  }) {\n    super({ name, message, cause });\n\n    this.toolInput = toolInput;\n    this.toolName = toolName;\n  }\n\n  static isInstance(error: unknown): error is InvalidToolInputError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_ToolCallNotFoundForApprovalError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class ToolCallNotFoundForApprovalError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly toolCallId: string;\n  readonly approvalId: string;\n\n  constructor({\n    toolCallId,\n    approvalId,\n  }: {\n    toolCallId: string;\n    approvalId: string;\n  }) {\n    super({\n      name,\n      message: `Tool call \"${toolCallId}\" not found for approval request \"${approvalId}\".`,\n    });\n\n    this.toolCallId = toolCallId;\n    this.approvalId = approvalId;\n  }\n\n  static isInstance(error: unknown): error is ToolCallNotFoundForApprovalError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_MissingToolResultsError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class MissingToolResultsError extends AISDKError {\n  private readonly [symbol] = true;\n\n  readonly toolCallIds: string[];\n\n  constructor({ toolCallIds }: { toolCallIds: string[] }) {\n    super({\n      name,\n      message: `Tool result${\n        toolCallIds.length > 1 ? 's are' : ' is'\n      } missing for tool call${toolCallIds.length > 1 ? 's' : ''} ${toolCallIds.join(\n        ', ',\n      )}.`,\n    });\n\n    this.toolCallIds = toolCallIds;\n  }\n\n  static isInstance(error: unknown): error is MissingToolResultsError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { ImageModelResponseMetadata } from '../types/image-model-response-metadata';\n\nconst name = 'AI_NoImageGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Thrown when no image could be generated. This can have multiple causes:\n *\n * - The model failed to generate a response.\n * - The model generated a response that could not be parsed.\n */\nexport class NoImageGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  /**\n   * The response metadata for each call.\n   */\n  readonly responses: Array<ImageModelResponseMetadata> | undefined;\n\n  constructor({\n    message = 'No image generated.',\n    cause,\n    responses,\n  }: {\n    message?: string;\n    cause?: Error;\n    responses?: Array<ImageModelResponseMetadata>;\n  }) {\n    super({ name, message, cause });\n\n    this.responses = responses;\n  }\n\n  static isInstance(error: unknown): error is NoImageGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { FinishReason } from '../types/language-model';\nimport type { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';\nimport type { LanguageModelUsage } from '../types/usage';\n\nconst name = 'AI_NoObjectGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Thrown when no object could be generated. This can have several causes:\n *\n * - The model failed to generate a response.\n * - The model generated a response that could not be parsed.\n * - The model generated a response that could not be validated against the schema.\n *\n * The error contains the following properties:\n *\n * - `text`: The text that was generated by the model. This can be the raw text or the tool call text, depending on the model.\n */\nexport class NoObjectGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  /**\n   * The text that was generated by the model. This can be the raw text or the tool call text, depending on the model.\n   */\n  readonly text: string | undefined;\n\n  /**\n   * The response metadata.\n   */\n  readonly response:\n    | Omit<LanguageModelResponseMetadata, 'messages'>\n    | undefined;\n\n  /**\n   * The usage of the model.\n   */\n  readonly usage: LanguageModelUsage | undefined;\n\n  /**\n   * Reason why the model finished generating a response.\n   */\n  readonly finishReason: FinishReason | undefined;\n\n  constructor({\n    message = 'No object generated.',\n    cause,\n    text,\n    response,\n    usage,\n    finishReason,\n  }: {\n    message?: string;\n    cause?: Error;\n    text?: string;\n    response: Omit<LanguageModelResponseMetadata, 'messages'>;\n    usage: LanguageModelUsage;\n    finishReason: FinishReason;\n  }) {\n    super({ name, message, cause });\n\n    this.text = text;\n    this.response = response;\n    this.usage = usage;\n    this.finishReason = finishReason;\n  }\n\n  static isInstance(error: unknown): error is NoObjectGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_NoOutputGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Thrown when no LLM output was generated, e.g. because of errors.\n */\nexport class NoOutputGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  constructor({\n    message = 'No output generated.',\n    cause,\n  }: {\n    message?: string;\n    cause?: Error;\n  } = {}) {\n    super({ name, message, cause });\n  }\n\n  static isInstance(error: unknown): error is NoOutputGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { SpeechModelResponseMetadata } from '../types/speech-model-response-metadata';\n\nconst name = 'AI_NoSpeechGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Error that is thrown when no speech audio was generated.\n */\nexport class NoSpeechGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly responses: Array<SpeechModelResponseMetadata>;\n\n  constructor(options: { responses: Array<SpeechModelResponseMetadata> }) {\n    super({\n      name,\n      message: 'No speech audio generated.',\n    });\n\n    this.responses = options.responses;\n  }\n\n  static isInstance(error: unknown): error is NoSpeechGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { TranscriptionModelResponseMetadata } from '../types/transcription-model-response-metadata';\n\nconst name = 'AI_NoTranscriptGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Error that is thrown when no transcript was generated.\n */\nexport class NoTranscriptGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly responses: Array<TranscriptionModelResponseMetadata>;\n\n  constructor(options: {\n    responses: Array<TranscriptionModelResponseMetadata>;\n  }) {\n    super({\n      name,\n      message: 'No transcript generated.',\n    });\n\n    this.responses = options.responses;\n  }\n\n  static isInstance(error: unknown): error is NoTranscriptGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { SpeechTranslationModelResponseMetadata } from '../types/speech-translation-model-response-metadata';\n\nconst name = 'AI_NoTranslationGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Error that is thrown when no translation was generated.\n */\nexport class NoTranslationGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly response: SpeechTranslationModelResponseMetadata;\n\n  constructor(options: { response: SpeechTranslationModelResponseMetadata }) {\n    super({\n      name,\n      message: 'No translation generated.',\n    });\n\n    this.response = options.response;\n  }\n\n  static isInstance(error: unknown): error is NoTranslationGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { VideoModelResponseMetadata } from '../types/video-model-response-metadata';\n\nconst name = 'AI_NoVideoGeneratedError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class NoVideoGeneratedError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly responses: Array<VideoModelResponseMetadata>;\n\n  constructor({\n    message = 'No video generated.',\n    cause,\n    responses,\n  }: {\n    message?: string;\n    cause?: unknown;\n    responses: Array<VideoModelResponseMetadata>;\n  }) {\n    super({ name, message, cause });\n\n    this.responses = responses;\n  }\n\n  static isInstance(error: unknown): error is NoVideoGeneratedError {\n    return AISDKError.hasMarker(error, marker);\n  }\n\n  /**\n   * @deprecated use `isInstance` instead\n   */\n  static isNoVideoGeneratedError(\n    error: unknown,\n  ): error is NoVideoGeneratedError {\n    return error instanceof Error &&\n      error.name === name &&\n      typeof (error as NoVideoGeneratedError).responses !== 'undefined'\n      ? true\n      : false;\n  }\n\n  /**\n   * @deprecated Do not use this method. It will be removed in the next major version.\n   */\n  toJSON() {\n    return {\n      name: this.name,\n      message: this.message,\n      stack: this.stack,\n\n      cause: this.cause,\n      responses: this.responses,\n    };\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_NoSuchToolError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class NoSuchToolError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly toolName: string;\n  readonly availableTools: string[] | undefined;\n\n  constructor({\n    toolName,\n    availableTools = undefined,\n    message = `Model tried to call unavailable tool '${toolName}'. ${\n      availableTools === undefined\n        ? 'No tools are available.'\n        : `Available tools: ${availableTools.join(', ')}.`\n    }`,\n  }: {\n    toolName: string;\n    availableTools?: string[] | undefined;\n    message?: string;\n  }) {\n    super({ name, message });\n\n    this.toolName = toolName;\n    this.availableTools = availableTools;\n  }\n\n  static isInstance(error: unknown): error is NoSuchToolError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError, getErrorMessage } from '@ai-sdk/provider';\nimport type { InvalidToolInputError } from './invalid-tool-input-error';\nimport type { NoSuchToolError } from './no-such-tool-error';\n\nconst name = 'AI_ToolCallRepairError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class ToolCallRepairError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly originalError: NoSuchToolError | InvalidToolInputError;\n\n  constructor({\n    cause,\n    originalError,\n    message = `Error repairing tool call: ${getErrorMessage(cause)}`,\n  }: {\n    message?: string;\n    cause: unknown;\n    originalError: NoSuchToolError | InvalidToolInputError;\n  }) {\n    super({ name, message, cause });\n    this.originalError = originalError;\n  }\n\n  static isInstance(error: unknown): error is ToolCallRepairError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\n/**\n * Error that is thrown when a model with an unsupported version is used.\n */\nexport class UnsupportedModelVersionError extends AISDKError {\n  readonly version: string;\n  readonly provider: string;\n  readonly modelId: string;\n\n  constructor(options: { version: string; provider: string; modelId: string }) {\n    super({\n      name: 'AI_UnsupportedModelVersionError',\n      message:\n        `Unsupported model version ${options.version} for provider \"${options.provider}\" and model \"${options.modelId}\". ` +\n        `AI SDK 5 only supports models that implement specification version \"v2\".`,\n    });\n\n    this.version = options.version;\n    this.provider = options.provider;\n    this.modelId = options.modelId;\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_UIMessageStreamError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Error thrown when a UI message stream contains invalid or out-of-sequence chunks.\n *\n * This typically occurs when:\n * - A delta chunk is received without a corresponding start chunk\n * - An end chunk is received without a corresponding start chunk\n * - A tool invocation is not found for the given toolCallId\n *\n * @see https://ai-sdk.dev/docs/reference/ai-sdk-errors/ai-ui-message-stream-error\n */\nexport class UIMessageStreamError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  /**\n   * The type of chunk that caused the error (e.g., 'text-delta', 'reasoning-end').\n   */\n  readonly chunkType: string;\n\n  /**\n   * The ID associated with the failing chunk (part ID or toolCallId).\n   */\n  readonly chunkId: string;\n\n  constructor({\n    chunkType,\n    chunkId,\n    message,\n  }: {\n    chunkType: string;\n    chunkId: string;\n    message: string;\n  }) {\n    super({ name, message });\n\n    this.chunkType = chunkType;\n    this.chunkId = chunkId;\n  }\n\n  static isInstance(error: unknown): error is UIMessageStreamError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidDataContentError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidDataContentError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly content: unknown;\n\n  constructor({\n    content,\n    cause,\n    message = `Invalid data content. Expected a base64 string, Uint8Array, ArrayBuffer, or Buffer, but got ${typeof content}.`,\n  }: {\n    content: unknown;\n    cause?: unknown;\n    message?: string;\n  }) {\n    super({ name, message, cause });\n\n    this.content = content;\n  }\n\n  static isInstance(error: unknown): error is InvalidDataContentError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_InvalidMessageRoleError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class InvalidMessageRoleError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly role: string;\n\n  constructor({\n    role,\n    message = `Invalid message role: '${role}'. Must be one of: \"system\", \"user\", \"assistant\", \"tool\".`,\n  }: {\n    role: string;\n    message?: string;\n  }) {\n    super({ name, message });\n\n    this.role = role;\n  }\n\n  static isInstance(error: unknown): error is InvalidMessageRoleError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\nimport type { UIMessage } from '../ui/ui-messages';\n\nconst name = 'AI_MessageConversionError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class MessageConversionError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly originalMessage: Omit<UIMessage, 'id'>;\n\n  constructor({\n    originalMessage,\n    message,\n  }: {\n    originalMessage: Omit<UIMessage, 'id'>;\n    message: string;\n  }) {\n    super({ name, message });\n\n    this.originalMessage = originalMessage;\n  }\n\n  static isInstance(error: unknown): error is MessageConversionError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import { AISDKError } from '@ai-sdk/provider';\n\nconst name = 'AI_RetryError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport type RetryErrorReason =\n  | 'maxRetriesExceeded'\n  | 'errorNotRetryable'\n  | 'abort';\n\nexport class RetryError extends AISDKError {\n  private readonly [symbol] = true; // used in isInstance\n\n  // note: property order determines debugging output\n  readonly reason: RetryErrorReason;\n  readonly lastError: unknown;\n  readonly errors: Array<unknown>;\n\n  constructor({\n    message,\n    reason,\n    errors,\n  }: {\n    message: string;\n    reason: RetryErrorReason;\n    errors: Array<unknown>;\n  }) {\n    super({ name, message });\n\n    this.reason = reason;\n    this.errors = errors;\n\n    // separate our last error to make debugging via log easier:\n    this.lastError = errors[errors.length - 1];\n  }\n\n  static isInstance(error: unknown): error is RetryError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import type { Warning } from '../types';\n\n/**\n * A function for logging warnings.\n *\n * You can assign it to the `AI_SDK_LOG_WARNINGS` global variable to use it as the default warning logger.\n *\n * @example\n * ```ts\n * globalThis.AI_SDK_LOG_WARNINGS = (options) => {\n *   console.log('WARNINGS:', options.warnings, options.provider, options.model);\n * };\n * ```\n */\nexport type LogWarningsFunction = (options: {\n  /**\n   * The warnings returned by the model provider.\n   */\n  warnings: Warning[];\n\n  /**\n   * The provider id used for the call, if scoped to a specific provider.\n   */\n  provider?: string;\n\n  /**\n   * The model id used for the call, if scoped to a specific provider.\n   */\n  model?: string;\n}) => void;\n\n/**\n * Formats a warning object into a human-readable string with clear AI SDK branding.\n *\n * @param options - The options for formatting the warning.\n * @param options.warning - The warning to format.\n * @param options.provider - The provider id used for the call, if scoped to a specific provider.\n * @param options.model - The model id used for the call, if scoped to a specific provider.\n * @returns A formatted warning message string.\n */\nfunction formatWarning({\n  warning,\n  provider,\n  model,\n}: {\n  warning: Warning;\n  provider?: string;\n  model?: string;\n}): string {\n  const scope =\n    provider != null && model != null ? ` (${provider} / ${model})` : '';\n  const prefix = `AI SDK Warning${scope}:`;\n\n  switch (warning.type) {\n    case 'unsupported': {\n      let message = `${prefix} The feature \"${warning.feature}\" is not supported.`;\n      if (warning.details) {\n        message += ` ${warning.details}`;\n      }\n      return message;\n    }\n\n    case 'compatibility': {\n      let message = `${prefix} The feature \"${warning.feature}\" is used in a compatibility mode.`;\n      if (warning.details) {\n        message += ` ${warning.details}`;\n      }\n      return message;\n    }\n\n    case 'deprecated': {\n      return `${prefix} Deprecated: \"${warning.setting}\". ${warning.message}`;\n    }\n\n    case 'other': {\n      return `${prefix} ${warning.message}`;\n    }\n\n    default: {\n      // Fallback for any unknown warning types\n      return `${prefix} ${JSON.stringify(warning, null, 2)}`;\n    }\n  }\n}\n\nexport const FIRST_WARNING_INFO_MESSAGE =\n  'AI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.';\n\nlet hasLoggedBefore = false;\n\nfunction emitWarning({\n  message,\n  type,\n}: {\n  message: string;\n  type: 'DeprecationWarning' | 'Warning';\n}) {\n  if (\n    typeof process !== 'undefined' &&\n    typeof process.emitWarning === 'function'\n  ) {\n    process.emitWarning(message, { type });\n  } else {\n    console.warn(message);\n  }\n}\n\n/**\n * Logs warnings to the console or uses a custom logger if configured.\n *\n * The behavior can be customized via the `AI_SDK_LOG_WARNINGS` global variable:\n * - If set to `false`, warnings are suppressed.\n * - If set to a function, that function is called with the warnings.\n * - Otherwise, warnings are logged to the console using `console.warn`.\n *\n * @param options - The options containing warnings and context.\n * @param options.warnings - The warnings to log.\n * @param options.provider - The provider id used for the call, if scoped to a specific provider.\n * @param options.model - The model id used for the call, if scoped to a specific provider.\n */\nexport const logWarnings: LogWarningsFunction = options => {\n  // if the warnings array is empty, do nothing\n  if (options.warnings.length === 0) {\n    return;\n  }\n\n  const logger = globalThis.AI_SDK_LOG_WARNINGS;\n\n  // if the logger is set to false, do nothing\n  if (logger === false) {\n    return;\n  }\n\n  // use the provided logger if it is a function\n  if (typeof logger === 'function') {\n    logger(options);\n    return;\n  }\n\n  // display information note on first call\n  if (!hasLoggedBefore) {\n    hasLoggedBefore = true;\n    emitWarning({\n      message: FIRST_WARNING_INFO_MESSAGE,\n      type: 'Warning',\n    });\n  }\n\n  // default behavior: log warnings via process.emitWarning if available, otherwise console.warn\n  for (const warning of options.warnings) {\n    const message = formatWarning({\n      warning,\n      provider: options.provider,\n      model: options.model,\n    });\n    emitWarning({\n      message,\n      type: warning.type === 'deprecated' ? 'DeprecationWarning' : 'Warning',\n    });\n  }\n};\n\n/**\n * Resets the internal logging state. Used for testing purposes.\n */\nexport const resetLogWarningsState = () => {\n  hasLoggedBefore = false;\n};\n", "import { gateway } from '@ai-sdk/gateway';\nimport type {\n  EmbeddingModelV4,\n  Experimental_SpeechTranslationModelV4,\n  Experimental_VideoModelV4,\n  ImageModelV4,\n  LanguageModelV4,\n  ProviderV4,\n  RerankingModelV4,\n  SpeechModelV4,\n  TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport { UnsupportedModelVersionError } from '../error';\nimport type { EmbeddingModel } from '../types/embedding-model';\nimport type { LanguageModel } from '../types/language-model';\nimport type { SpeechModel } from '../types/speech-model';\nimport type { SpeechTranslationModel } from '../types/speech-translation-model';\nimport type { TranscriptionModel } from '../types/transcription-model';\nimport { asEmbeddingModelV4 } from './as-embedding-model-v4';\nimport { asImageModelV4 } from './as-image-model-v4';\nimport { asLanguageModelV4 } from './as-language-model-v4';\nimport { asRerankingModelV4 } from './as-reranking-model-v4';\nimport { asSpeechModelV4 } from './as-speech-model-v4';\nimport { asTranscriptionModelV4 } from './as-transcription-model-v4';\nimport { asVideoModelV4 } from './as-video-model-v4';\nimport { asProviderV4 } from './as-provider-v4';\nimport type { ImageModel } from '../types/image-model';\nimport type { RerankingModel } from '../types/reranking-model';\nimport type { VideoModel } from '../types/video-model';\n\nexport function resolveLanguageModel(model: LanguageModel): LanguageModelV4 {\n  if (typeof model === 'string') {\n    return getGlobalProvider().languageModel(model);\n  }\n\n  if (!['v4', 'v3', 'v2'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asLanguageModelV4(model);\n}\n\nexport function resolveEmbeddingModel(model: EmbeddingModel): EmbeddingModelV4 {\n  if (typeof model === 'string') {\n    return getGlobalProvider().embeddingModel(model);\n  }\n\n  if (!['v4', 'v3', 'v2'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asEmbeddingModelV4(model);\n}\n\nexport function resolveTranscriptionModel(\n  model: TranscriptionModel,\n): TranscriptionModelV4 | undefined {\n  if (typeof model === 'string') {\n    return getGlobalProvider().transcriptionModel?.(model);\n  }\n\n  if (!['v4', 'v3', 'v2'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asTranscriptionModelV4(model);\n}\n\nexport function resolveSpeechTranslationModel(\n  model: SpeechTranslationModel,\n): Experimental_SpeechTranslationModelV4 {\n  if (typeof model === 'string') {\n    // Use raw global provider because speechTranslationModel is experimental\n    // and not part of the ProviderV4 interface\n    const provider = globalThis.AI_SDK_DEFAULT_PROVIDER ?? gateway;\n    // TODO AI SDK v7\n    // @ts-expect-error - speechTranslationModel support is experimental\n    const speechTranslationModel = provider.speechTranslationModel;\n\n    if (!speechTranslationModel) {\n      throw new Error(\n        'The default provider does not support speech translation models. ' +\n          'Please pass a provider model instance that implements the experimental speech translation model specification.',\n      );\n    }\n\n    return speechTranslationModel(model);\n  }\n\n  if (model.specificationVersion !== 'v4') {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return model;\n}\n\nexport function resolveSpeechModel(\n  model: SpeechModel,\n): SpeechModelV4 | undefined {\n  if (typeof model === 'string') {\n    return getGlobalProvider().speechModel?.(model);\n  }\n\n  if (!['v4', 'v3', 'v2'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asSpeechModelV4(model);\n}\n\nexport function resolveImageModel(model: ImageModel): ImageModelV4 {\n  if (typeof model === 'string') {\n    return getGlobalProvider().imageModel(model);\n  }\n\n  if (!['v4', 'v3', 'v2'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asImageModelV4(model);\n}\n\nexport function resolveVideoModel(\n  model: VideoModel,\n): Experimental_VideoModelV4 {\n  if (typeof model === 'string') {\n    // Use raw global provider because videoModel is experimental\n    // and not part of the ProviderV4 interface\n    const provider = globalThis.AI_SDK_DEFAULT_PROVIDER ?? gateway;\n    // TODO AI SDK v7\n    // @ts-expect-error - videoModel support is experimental\n    const videoModel = provider.videoModel;\n\n    if (!videoModel) {\n      throw new Error(\n        'The default provider does not support video models. ' +\n          'Please use a Experimental_VideoModelV4 object from a provider (e.g., vertex.video(\"model-id\")).',\n      );\n    }\n\n    return videoModel(model);\n  }\n\n  if (!['v4', 'v3'].includes(model.specificationVersion)) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asVideoModelV4(model);\n}\n\nexport function resolveRerankingModel(model: RerankingModel): RerankingModelV4 {\n  if (typeof model === 'string') {\n    const provider = getGlobalProvider();\n    const rerankingModel = provider.rerankingModel;\n\n    if (!rerankingModel) {\n      throw new Error(\n        'The default provider does not support reranking models. ' +\n          'Please use a RerankingModel object from a provider (e.g., gateway.rerankingModel(\"model-id\")).',\n      );\n    }\n\n    return rerankingModel(model);\n  }\n\n  if (\n    model.specificationVersion !== 'v4' &&\n    model.specificationVersion !== 'v3'\n  ) {\n    const unsupportedModel: any = model;\n    throw new UnsupportedModelVersionError({\n      version: unsupportedModel.specificationVersion,\n      provider: unsupportedModel.provider,\n      modelId: unsupportedModel.modelId,\n    });\n  }\n\n  return asRerankingModelV4(model);\n}\n\nfunction getGlobalProvider(): ProviderV4 {\n  const provider = globalThis.AI_SDK_DEFAULT_PROVIDER ?? gateway;\n  return asProviderV4(provider);\n}\n", "import { logWarnings } from '../logger/log-warnings';\n\nexport function logV2CompatibilityWarning({\n  provider,\n  modelId,\n}: {\n  provider: string;\n  modelId: string;\n}): void {\n  logWarnings({\n    warnings: [\n      {\n        type: 'compatibility',\n        feature: 'specificationVersion',\n        details: `Using v2 specification compatibility mode. Some features may not be available.`,\n      },\n    ],\n    provider,\n    model: modelId,\n  });\n}\n", "import type { EmbeddingModelV2, EmbeddingModelV3 } from '@ai-sdk/provider';\nimport { logV2CompatibilityWarning } from '../util/log-v2-compatibility-warning';\n\nexport function asEmbeddingModelV3(\n  model: EmbeddingModelV2<string> | EmbeddingModelV3,\n): EmbeddingModelV3 {\n  if (model.specificationVersion === 'v3') {\n    return model;\n  }\n\n  logV2CompatibilityWarning({\n    provider: model.provider,\n    modelId: model.modelId,\n  });\n\n  // TODO this could break, we need to properly map v2 to v3\n  // and support all relevant v3 properties:\n  return new Proxy(model, {\n    get(target, prop: keyof EmbeddingModelV2<string>) {\n      if (prop === 'specificationVersion') return 'v3';\n      return target[prop];\n    },\n  }) as unknown as EmbeddingModelV3;\n}\n", "import type {\n  EmbeddingModelV2,\n  EmbeddingModelV3,\n  EmbeddingModelV4,\n} from '@ai-sdk/provider';\nimport { asEmbeddingModelV3 } from './as-embedding-model-v3';\n\nexport function asEmbeddingModelV4(\n  model: EmbeddingModelV2<string> | EmbeddingModelV3 | EmbeddingModelV4,\n): EmbeddingModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  // first convert v2 to v3, then proxy v3 as v4:\n  const v3Model =\n    model.specificationVersion === 'v2' ? asEmbeddingModelV3(model) : model;\n\n  return new Proxy(v3Model, {\n    get(target, prop: keyof EmbeddingModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as EmbeddingModelV4;\n}\n", "import type { ImageModelV2, ImageModelV3 } from '@ai-sdk/provider';\nimport { logV2CompatibilityWarning } from '../util/log-v2-compatibility-warning';\n\nexport function asImageModelV3(\n  model: ImageModelV2 | ImageModelV3,\n): ImageModelV3 {\n  if (model.specificationVersion === 'v3') {\n    return model;\n  }\n\n  logV2CompatibilityWarning({\n    provider: model.provider,\n    modelId: model.modelId,\n  });\n\n  // TODO this could break, we need to properly map v2 to v3\n  // and support all relevant v3 properties:\n  return new Proxy(model, {\n    get(target, prop: keyof ImageModelV2) {\n      if (prop === 'specificationVersion') return 'v3';\n      return target[prop];\n    },\n  }) as unknown as ImageModelV3;\n}\n", "import type {\n  ImageModelV2,\n  ImageModelV3,\n  ImageModelV4,\n} from '@ai-sdk/provider';\nimport { asImageModelV3 } from './as-image-model-v3';\n\nexport function asImageModelV4(\n  model: ImageModelV2 | ImageModelV3 | ImageModelV4,\n): ImageModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  // first convert v2 to v3, then proxy v3 as v4:\n  const v3Model =\n    model.specificationVersion === 'v2' ? asImageModelV3(model) : model;\n\n  return new Proxy(v3Model, {\n    get(target, prop: keyof ImageModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as ImageModelV4;\n}\n", "import type {\n  LanguageModelV2,\n  LanguageModelV2FinishReason,\n  LanguageModelV2StreamPart,\n  LanguageModelV2Usage,\n  LanguageModelV3,\n  LanguageModelV3FinishReason,\n  LanguageModelV3StreamPart,\n  LanguageModelV3Usage,\n} from '@ai-sdk/provider';\nimport { logV2CompatibilityWarning } from '../util/log-v2-compatibility-warning';\n\nexport function asLanguageModelV3(\n  model: LanguageModelV2 | LanguageModelV3,\n): LanguageModelV3 {\n  if (model.specificationVersion === 'v3') {\n    return model;\n  }\n\n  logV2CompatibilityWarning({\n    provider: model.provider,\n    modelId: model.modelId,\n  });\n\n  // TODO this could break, we need to properly map v2 to v3\n  // and support all relevant v3 properties:\n  return new Proxy(model, {\n    get(target, prop: keyof LanguageModelV2) {\n      switch (prop) {\n        case 'specificationVersion':\n          return 'v3';\n        case 'doGenerate':\n          return async (...args: Parameters<LanguageModelV2['doGenerate']>) => {\n            const result = await target.doGenerate(...args);\n            return {\n              ...result,\n              finishReason: convertV2FinishReasonToV3(result.finishReason),\n              usage: convertV2UsageToV3(result.usage),\n            };\n          };\n        case 'doStream':\n          return async (...args: Parameters<LanguageModelV2['doStream']>) => {\n            const result = await target.doStream(...args);\n            return {\n              ...result,\n              stream: convertV2StreamToV3(result.stream),\n            };\n          };\n        default:\n          return target[prop];\n      }\n    },\n  }) as unknown as LanguageModelV3;\n}\n\nfunction convertV2StreamToV3(\n  stream: ReadableStream<LanguageModelV2StreamPart>,\n): ReadableStream<LanguageModelV3StreamPart> {\n  return stream.pipeThrough(\n    new TransformStream<LanguageModelV2StreamPart, LanguageModelV3StreamPart>({\n      transform(chunk, controller) {\n        switch (chunk.type) {\n          case 'finish':\n            controller.enqueue({\n              ...chunk,\n              finishReason: convertV2FinishReasonToV3(chunk.finishReason),\n              usage: convertV2UsageToV3(chunk.usage),\n            });\n            break;\n          default:\n            // TODO: AI SDK 6 - no casting (stream parts need to be mapped)\n            controller.enqueue(chunk as LanguageModelV3StreamPart);\n            break;\n        }\n      },\n    }),\n  );\n}\n\nfunction convertV2FinishReasonToV3(\n  finishReason: LanguageModelV2FinishReason,\n): LanguageModelV3FinishReason {\n  return {\n    unified: finishReason === 'unknown' ? 'other' : finishReason,\n    raw: undefined,\n  };\n}\n\nfunction convertV2UsageToV3(usage: LanguageModelV2Usage): LanguageModelV3Usage {\n  return {\n    inputTokens: {\n      total: usage.inputTokens,\n      noCache: undefined,\n      cacheRead: usage.cachedInputTokens,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: usage.outputTokens,\n      text: undefined,\n      reasoning: usage.reasoningTokens,\n    },\n  };\n}\n", "import type {\n  LanguageModelV2,\n  LanguageModelV3,\n  LanguageModelV4,\n} from '@ai-sdk/provider';\nimport { asLanguageModelV3 } from './as-language-model-v3';\n\nexport function asLanguageModelV4(\n  model: LanguageModelV2 | LanguageModelV3 | LanguageModelV4,\n): LanguageModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  // first convert v2 to v3, then proxy v3 as v4:\n  const v3Model =\n    model.specificationVersion === 'v2' ? asLanguageModelV3(model) : model;\n\n  return new Proxy(v3Model, {\n    get(target, prop: keyof LanguageModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as LanguageModelV4;\n}\n", "import type { RerankingModelV3, RerankingModelV4 } from '@ai-sdk/provider';\n\nexport function asRerankingModelV4(\n  model: RerankingModelV3 | RerankingModelV4,\n): RerankingModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  return new Proxy(model, {\n    get(target, prop: keyof RerankingModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as RerankingModelV4;\n}\n", "import type { SpeechModelV2, SpeechModelV3 } from '@ai-sdk/provider';\nimport { logV2CompatibilityWarning } from '../util/log-v2-compatibility-warning';\n\nexport function asSpeechModelV3(\n  model: SpeechModelV3 | SpeechModelV2,\n): SpeechModelV3 {\n  if (model.specificationVersion === 'v3') {\n    return model;\n  }\n\n  logV2CompatibilityWarning({\n    provider: model.provider,\n    modelId: model.modelId,\n  });\n\n  // TODO this could break, we need to properly map v2 to v3\n  // and support all relevant v3 properties:\n  return new Proxy(model, {\n    get(target, prop: keyof SpeechModelV2) {\n      if (prop === 'specificationVersion') return 'v3';\n      return target[prop];\n    },\n  }) as unknown as SpeechModelV3;\n}\n", "import type {\n  SpeechModelV2,\n  SpeechModelV3,\n  SpeechModelV4,\n} from '@ai-sdk/provider';\nimport { asSpeechModelV3 } from './as-speech-model-v3';\n\nexport function asSpeechModelV4(\n  model: SpeechModelV2 | SpeechModelV3 | SpeechModelV4,\n): SpeechModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  // first convert v2 to v3, then proxy v3 as v4:\n  const v3Model =\n    model.specificationVersion === 'v2' ? asSpeechModelV3(model) : model;\n\n  return new Proxy(v3Model, {\n    get(target, prop: keyof SpeechModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as SpeechModelV4;\n}\n", "import type {\n  TranscriptionModelV2,\n  TranscriptionModelV3,\n} from '@ai-sdk/provider';\nimport { logV2CompatibilityWarning } from '../util/log-v2-compatibility-warning';\n\nexport function asTranscriptionModelV3(\n  model: TranscriptionModelV3 | TranscriptionModelV2,\n): TranscriptionModelV3 {\n  if (model.specificationVersion === 'v3') {\n    return model;\n  }\n\n  logV2CompatibilityWarning({\n    provider: model.provider,\n    modelId: model.modelId,\n  });\n\n  // TODO this could break, we need to properly map v2 to v3\n  // and support all relevant v3 properties:\n  return new Proxy(model, {\n    get(target, prop: keyof TranscriptionModelV2) {\n      if (prop === 'specificationVersion') return 'v3';\n      return target[prop];\n    },\n  }) as unknown as TranscriptionModelV3;\n}\n", "import type {\n  TranscriptionModelV2,\n  TranscriptionModelV3,\n  TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport { asTranscriptionModelV3 } from './as-transcription-model-v3';\n\nexport function asTranscriptionModelV4(\n  model: TranscriptionModelV2 | TranscriptionModelV3 | TranscriptionModelV4,\n): TranscriptionModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  // first convert v2 to v3, then proxy v3 as v4:\n  const v3Model =\n    model.specificationVersion === 'v2' ? asTranscriptionModelV3(model) : model;\n\n  return new Proxy(v3Model, {\n    get(target, prop: keyof TranscriptionModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as TranscriptionModelV4;\n}\n", "import type {\n  Experimental_VideoModelV3,\n  Experimental_VideoModelV4,\n} from '@ai-sdk/provider';\n\nexport function asVideoModelV4(\n  model: Experimental_VideoModelV3 | Experimental_VideoModelV4,\n): Experimental_VideoModelV4 {\n  if (model.specificationVersion === 'v4') {\n    return model;\n  }\n\n  return new Proxy(model, {\n    get(target, prop: keyof Experimental_VideoModelV3) {\n      if (prop === 'specificationVersion') return 'v4';\n      return target[prop];\n    },\n  }) as unknown as Experimental_VideoModelV4;\n}\n", "import type { ProviderV2, ProviderV3 } from '@ai-sdk/provider';\nimport { asEmbeddingModelV3 } from './as-embedding-model-v3';\nimport { asImageModelV3 } from './as-image-model-v3';\nimport { asLanguageModelV3 } from './as-language-model-v3';\nimport { asTranscriptionModelV3 } from './as-transcription-model-v3';\nimport { asSpeechModelV3 } from './as-speech-model-v3';\n\nexport function asProviderV3(provider: ProviderV2 | ProviderV3): ProviderV3 {\n  if (\n    'specificationVersion' in provider &&\n    provider.specificationVersion === 'v3'\n  ) {\n    return provider;\n  }\n\n  // v3 providers have already been returned\n  const v2Provider: ProviderV2 = provider as ProviderV2;\n\n  return {\n    specificationVersion: 'v3',\n    languageModel: (modelId: string) =>\n      asLanguageModelV3(v2Provider.languageModel(modelId)),\n    embeddingModel: (modelId: string) =>\n      asEmbeddingModelV3(v2Provider.textEmbeddingModel(modelId)),\n    imageModel: (modelId: string) =>\n      asImageModelV3(v2Provider.imageModel(modelId)),\n    transcriptionModel: v2Provider.transcriptionModel\n      ? (modelId: string) =>\n          asTranscriptionModelV3(v2Provider.transcriptionModel!(modelId))\n      : undefined,\n    speechModel: v2Provider.speechModel\n      ? (modelId: string) => asSpeechModelV3(v2Provider.speechModel!(modelId))\n      : undefined,\n    rerankingModel: undefined, // v2 providers don't have reranking models\n  };\n}\n", "import type { ProviderV2, ProviderV3, ProviderV4 } from '@ai-sdk/provider';\nimport { asProviderV3 } from './as-provider-v3';\nimport { asEmbeddingModelV4 } from './as-embedding-model-v4';\nimport { asImageModelV4 } from './as-image-model-v4';\nimport { asLanguageModelV4 } from './as-language-model-v4';\nimport { asRerankingModelV4 } from './as-reranking-model-v4';\nimport { asTranscriptionModelV4 } from './as-transcription-model-v4';\nimport { asSpeechModelV4 } from './as-speech-model-v4';\n\nexport function asProviderV4(\n  provider: ProviderV2 | ProviderV3 | ProviderV4,\n): ProviderV4 {\n  if (\n    'specificationVersion' in provider &&\n    provider.specificationVersion === 'v4'\n  ) {\n    return provider;\n  }\n\n  // first ensure we have at least a v3 provider:\n  const v3Provider: ProviderV3 =\n    !('specificationVersion' in provider) ||\n    provider.specificationVersion !== 'v3'\n      ? asProviderV3(provider as ProviderV2)\n      : provider;\n\n  return {\n    specificationVersion: 'v4',\n    languageModel: (modelId: string) =>\n      asLanguageModelV4(v3Provider.languageModel(modelId)),\n    embeddingModel: (modelId: string) =>\n      asEmbeddingModelV4(v3Provider.embeddingModel(modelId)),\n    imageModel: (modelId: string) =>\n      asImageModelV4(v3Provider.imageModel(modelId)),\n    transcriptionModel: v3Provider.transcriptionModel\n      ? (modelId: string) =>\n          asTranscriptionModelV4(v3Provider.transcriptionModel!(modelId))\n      : undefined,\n    speechModel: v3Provider.speechModel\n      ? (modelId: string) => asSpeechModelV4(v3Provider.speechModel!(modelId))\n      : undefined,\n    rerankingModel: v3Provider.rerankingModel\n      ? (modelId: string) =>\n          asRerankingModelV4(v3Provider.rerankingModel!(modelId))\n      : undefined,\n  };\n}\n", "import type { ModelMessage } from '@ai-sdk/provider-utils';\n\n/**\n * Clone model messages while preserving URL instances. Node's structuredClone\n * currently rejects URL objects, which are valid file/image prompt payloads.\n */\nexport function cloneModelMessages<T extends ModelMessage>(\n  messages: Array<T>,\n): Array<T> {\n  return messages.map(message => cloneValue(message)) as Array<T>;\n}\n\nfunction cloneValue<T>(value: T): T {\n  if (value instanceof URL) {\n    return new URL(value.href) as T;\n  }\n\n  if (Array.isArray(value)) {\n    return value.map(item => cloneValue(item)) as T;\n  }\n\n  if (value instanceof Uint8Array) {\n    return new Uint8Array(value) as T;\n  }\n\n  if (value instanceof ArrayBuffer) {\n    return value.slice(0) as T;\n  }\n\n  if (value instanceof Date) {\n    return new Date(value) as T;\n  }\n\n  if (value != null && typeof value === 'object') {\n    return Object.fromEntries(\n      Object.entries(value).map(([key, value]) => [key, cloneValue(value)]),\n    ) as T;\n  }\n\n  return value;\n}\n", "import type {\n  LanguageModelV4FilePart,\n  LanguageModelV4Message,\n  LanguageModelV4Prompt,\n  LanguageModelV4TextPart,\n  LanguageModelV4ToolResultOutput,\n} from '@ai-sdk/provider';\nimport {\n  asArray,\n  detectMediaType,\n  isFullMediaType,\n  isUrlSupported,\n  type CustomPart,\n  type FilePart,\n  type ImagePart,\n  type ModelMessage,\n  type ReasoningFilePart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolCallPart,\n  type ToolResultOutput,\n  type ToolResultPart,\n} from '@ai-sdk/provider-utils';\nimport {\n  createDefaultDownloadFunction,\n  type DownloadFunction,\n} from '../util/download/download-function';\nimport { mergeObjects } from '../util/merge-objects';\nimport { convertToLanguageModelV4FilePart } from './file-part-data';\nimport { logWarnings } from '../logger/log-warnings';\nimport type { Warning } from '../types/warning';\nimport { InvalidMessageRoleError } from './invalid-message-role-error';\nimport type { StandardizedPrompt } from './standardize-prompt';\nimport { MissingToolResultsError } from '../error/missing-tool-result-error';\n\nexport async function convertToLanguageModelPrompt({\n  prompt,\n  supportedUrls,\n  download = createDefaultDownloadFunction(),\n  // `provider` is only needed here to convert legacy tool output types via `mapToolResultOutput`.\n  // TODO: remove in v8 when \"file-id\" and \"image-file-id\" types are removed\n  provider,\n}: {\n  prompt: StandardizedPrompt;\n  supportedUrls: Record<string, RegExp[]>;\n  download: DownloadFunction | undefined;\n  provider?: string;\n}): Promise<LanguageModelV4Prompt> {\n  const downloadedAssets = await downloadAssets(\n    prompt.messages,\n    download,\n    supportedUrls,\n  );\n\n  const approvalIdToToolCallId = new Map<string, string>();\n  for (const message of prompt.messages) {\n    if (message.role === 'assistant' && Array.isArray(message.content)) {\n      for (const part of message.content) {\n        if (\n          part.type === 'tool-approval-request' &&\n          'approvalId' in part &&\n          'toolCallId' in part\n        ) {\n          approvalIdToToolCallId.set(\n            part.approvalId as string,\n            part.toolCallId as string,\n          );\n        }\n      }\n    }\n  }\n\n  const approvedToolCallIds = new Set<string>();\n  for (const message of prompt.messages) {\n    if (message.role === 'tool') {\n      for (const part of message.content) {\n        if (part.type === 'tool-approval-response') {\n          const toolCallId = approvalIdToToolCallId.get(part.approvalId);\n          if (toolCallId) {\n            approvedToolCallIds.add(toolCallId);\n          }\n        }\n      }\n    }\n  }\n\n  const messages = [\n    ...(prompt.instructions != null\n      ? typeof prompt.instructions === 'string'\n        ? [{ role: 'system' as const, content: prompt.instructions }]\n        : asArray(prompt.instructions).map(message => ({\n            role: 'system' as const,\n            content: message.content,\n            providerOptions: message.providerOptions,\n          }))\n      : []),\n    ...prompt.messages.map(message =>\n      convertToLanguageModelMessage({ message, downloadedAssets, provider }),\n    ),\n  ];\n\n  // combine consecutive tool messages into a single tool message\n  const combinedMessages = [];\n  for (const message of messages) {\n    if (message.role !== 'tool') {\n      combinedMessages.push(message);\n      continue;\n    }\n\n    const lastCombinedMessage = combinedMessages.at(-1);\n    if (lastCombinedMessage?.role === 'tool') {\n      const lastContentPart = lastCombinedMessage.content.at(-1);\n      if (\n        lastContentPart != null &&\n        lastCombinedMessage.providerOptions != null\n      ) {\n        lastContentPart.providerOptions = mergeObjects(\n          lastCombinedMessage.providerOptions,\n          lastContentPart.providerOptions,\n        );\n      }\n\n      lastCombinedMessage.content.push(...message.content);\n      lastCombinedMessage.providerOptions = message.providerOptions;\n    } else {\n      combinedMessages.push(message);\n    }\n  }\n\n  const toolCallIds = new Set<string>();\n\n  for (const message of combinedMessages) {\n    switch (message.role) {\n      case 'assistant': {\n        for (const content of message.content) {\n          if (content.type === 'tool-call' && !content.providerExecuted) {\n            toolCallIds.add(content.toolCallId);\n          }\n        }\n        break;\n      }\n      case 'tool': {\n        for (const content of message.content) {\n          if (content.type === 'tool-result') {\n            toolCallIds.delete(content.toolCallId);\n          }\n        }\n        break;\n      }\n      case 'user':\n      case 'system':\n        // remove approved tool calls from the set before checking:\n        for (const id of approvedToolCallIds) {\n          toolCallIds.delete(id);\n        }\n\n        if (toolCallIds.size > 0) {\n          throw new MissingToolResultsError({\n            toolCallIds: Array.from(toolCallIds),\n          });\n        }\n        break;\n    }\n  }\n\n  // remove approved tool calls from the set before checking:\n  for (const id of approvedToolCallIds) {\n    toolCallIds.delete(id);\n  }\n\n  if (toolCallIds.size > 0) {\n    throw new MissingToolResultsError({ toolCallIds: Array.from(toolCallIds) });\n  }\n\n  return combinedMessages.filter(\n    // Filter out empty tool messages (e.g. if they only contained\n    // tool-approval-response parts that were removed).\n    // This prevents sending invalid empty messages to the provider.\n    // Note: provider-executed tool-approval-response parts are preserved.\n    message => message.role !== 'tool' || message.content.length > 0,\n  );\n}\n\n/**\n * Convert a ModelMessage to a LanguageModelV4Message.\n *\n * @param message - The ModelMessage to convert.\n * @param downloadedAssets - A map of URLs to their downloaded data. Only\n * available if the model does not support URLs, null otherwise.\n */\nexport function convertToLanguageModelMessage({\n  message,\n  downloadedAssets,\n  // `provider` is only needed here to convert legacy tool output types via `mapToolResultOutput`.\n  // TODO: remove in v8 when \"file-id\" and \"image-file-id\" types are removed\n  provider,\n}: {\n  message: ModelMessage;\n  downloadedAssets: Record<\n    string,\n    { mediaType: string | undefined; data: Uint8Array }\n  >;\n  provider?: string;\n}): LanguageModelV4Message {\n  const warnings: Warning[] = [];\n\n  const role = message.role;\n  switch (role) {\n    case 'system': {\n      return {\n        role: 'system',\n        content: message.content,\n        providerOptions: message.providerOptions,\n      };\n    }\n\n    case 'user': {\n      if (typeof message.content === 'string') {\n        return {\n          role: 'user',\n          content: [{ type: 'text', text: message.content }],\n          providerOptions: message.providerOptions,\n        };\n      }\n\n      const converted = {\n        role: 'user' as const,\n        content: message.content\n          .map(part => {\n            if (part.type === 'image') {\n              warnings.push({\n                type: 'deprecated',\n                setting: '\"image\" content part',\n                message: `The \"image\" content part type is deprecated. Use a \"file\" part with mediaType: 'image' (or a more specific image/* subtype) instead.`,\n              });\n            }\n            return convertImagePartToFilePart(part);\n          })\n          .map(part => convertPartToLanguageModelPart(part, downloadedAssets))\n          // remove empty text parts:\n          .filter(part => part.type !== 'text' || part.text !== ''),\n        providerOptions: message.providerOptions,\n      };\n      if (warnings.length > 0) {\n        logWarnings({ warnings });\n      }\n      return converted;\n    }\n\n    case 'assistant': {\n      if (typeof message.content === 'string') {\n        return {\n          role: 'assistant',\n          content: [{ type: 'text', text: message.content }],\n          providerOptions: message.providerOptions,\n        };\n      }\n\n      const converted = {\n        role: 'assistant' as const,\n        content: message.content\n          .filter(\n            // remove empty text parts (no text, and no provider options):\n            part =>\n              part.type !== 'text' ||\n              part.text !== '' ||\n              part.providerOptions != null,\n          )\n          .filter(\n            (\n              part,\n            ): part is\n              | CustomPart\n              | TextPart\n              | FilePart\n              | ReasoningPart\n              | ReasoningFilePart\n              | ToolCallPart\n              | ToolResultPart => part.type !== 'tool-approval-request',\n          )\n          .map(part => {\n            const providerOptions = part.providerOptions;\n\n            switch (part.type) {\n              case 'custom': {\n                return {\n                  type: 'custom' as const,\n                  kind: part.kind,\n                  providerOptions,\n                };\n              }\n              case 'file': {\n                const { data, mediaType } = convertToLanguageModelV4FilePart(\n                  part.data,\n                );\n                return {\n                  type: 'file' as const,\n                  data,\n                  filename: part.filename,\n                  mediaType: mediaType ?? part.mediaType,\n                  providerOptions,\n                };\n              }\n              case 'reasoning': {\n                return {\n                  type: 'reasoning' as const,\n                  text: part.text,\n                  providerOptions,\n                };\n              }\n              case 'reasoning-file': {\n                const { data, mediaType } = convertToLanguageModelV4FilePart(\n                  part.data,\n                );\n                if (data.type !== 'data' && data.type !== 'url') {\n                  throw new Error(\n                    `Unsupported reasoning-file data type: ${data.type}`,\n                  );\n                }\n                return {\n                  type: 'reasoning-file' as const,\n                  data,\n                  mediaType: mediaType ?? part.mediaType,\n                  providerOptions,\n                };\n              }\n              case 'text': {\n                return {\n                  type: 'text' as const,\n                  text: part.text,\n                  providerOptions,\n                };\n              }\n              case 'tool-call': {\n                return {\n                  type: 'tool-call' as const,\n                  toolCallId: part.toolCallId,\n                  toolName: part.toolName,\n                  input: part.input,\n                  providerExecuted: part.providerExecuted,\n                  providerOptions,\n                };\n              }\n              case 'tool-result': {\n                return {\n                  type: 'tool-result' as const,\n                  toolCallId: part.toolCallId,\n                  toolName: part.toolName,\n                  output: mapToolResultOutput({\n                    output: part.output,\n                    provider,\n                    warnings,\n                    downloadedAssets,\n                  }),\n                  providerOptions,\n                };\n              }\n            }\n          }),\n        providerOptions: message.providerOptions,\n      };\n      if (warnings.length > 0) {\n        logWarnings({ warnings });\n      }\n      return converted;\n    }\n\n    case 'tool': {\n      const converted = {\n        role: 'tool' as const,\n        content: message.content\n          .filter(\n            // Only include tool-approval-response for provider-executed tools\n            part =>\n              part.type !== 'tool-approval-response' || part.providerExecuted,\n          )\n          .map(part => {\n            switch (part.type) {\n              case 'tool-result': {\n                return {\n                  type: 'tool-result' as const,\n                  toolCallId: part.toolCallId,\n                  toolName: part.toolName,\n                  output: mapToolResultOutput({\n                    output: part.output,\n                    provider,\n                    warnings,\n                    downloadedAssets,\n                  }),\n                  providerOptions: part.providerOptions,\n                };\n              }\n              case 'tool-approval-response': {\n                return {\n                  type: 'tool-approval-response' as const,\n                  approvalId: part.approvalId,\n                  approved: part.approved,\n                  reason: part.reason,\n                };\n              }\n            }\n          }),\n        providerOptions: message.providerOptions,\n      };\n      if (warnings.length > 0) {\n        logWarnings({ warnings });\n      }\n      return converted;\n    }\n\n    default: {\n      const _exhaustiveCheck: never = role;\n      throw new InvalidMessageRoleError({ role: _exhaustiveCheck });\n    }\n  }\n}\n\n/*\n * Rewrites a legacy `ImagePart` into an equivalent `FilePart`. The default\n * `mediaType` for a bare `ImagePart` (no `mediaType`) is `\"image\"` (top-level\n * segment); an explicit `mediaType` is carried through verbatim. After this\n * pre-pass, only `TextPart` and `FilePart` ever reach the provider-facing\n * conversion logic.\n */\nfunction convertImagePartToFilePart(\n  part: TextPart | ImagePart | FilePart,\n): TextPart | FilePart {\n  if (part.type !== 'image') {\n    return part;\n  }\n  return {\n    type: 'file',\n    data: part.image,\n    mediaType: part.mediaType ?? 'image',\n    providerOptions: part.providerOptions,\n  };\n}\n\n/**\n * Downloads files from URLs in the user messages.\n */\nexport async function downloadAssets(\n  messages: ModelMessage[],\n  download: DownloadFunction,\n  supportedUrls: Record<string, RegExp[]>,\n): Promise<\n  Record<string, { mediaType: string | undefined; data: Uint8Array }>\n> {\n  type ConvertedFile = {\n    mediaType: string | undefined;\n    data: LanguageModelV4FilePart['data'];\n  };\n  type UrlTaggedFile = {\n    mediaType: string | undefined;\n    data: { type: 'url'; url: URL };\n  };\n\n  const downloadableFiles: FilePart[] = [];\n\n  for (const message of messages) {\n    if (message.role === 'user' && Array.isArray(message.content)) {\n      for (const part of message.content) {\n        const filePart = convertImagePartToFilePart(part);\n\n        if (filePart.type === 'file') {\n          downloadableFiles.push(filePart);\n        }\n      }\n    }\n\n    if (message.role === 'tool') {\n      for (const part of message.content) {\n        if (part.type !== 'tool-result') {\n          continue;\n        }\n\n        if (part.output.type !== 'content') {\n          continue;\n        }\n\n        for (const contentPart of part.output.value) {\n          if (contentPart.type === 'file') {\n            downloadableFiles.push(contentPart);\n          }\n        }\n      }\n    }\n\n    if (message.role === 'assistant' && Array.isArray(message.content)) {\n      for (const part of message.content) {\n        if (part.type !== 'tool-result') {\n          continue;\n        }\n        if (part.output.type !== 'content') {\n          continue;\n        }\n        for (const contentPart of part.output.value) {\n          if (contentPart.type === 'file') {\n            downloadableFiles.push(contentPart);\n          }\n        }\n      }\n    }\n  }\n\n  const plannedDownloads = downloadableFiles\n    .map((part): ConvertedFile => {\n      const mediaType = part.mediaType;\n      const { data } = convertToLanguageModelV4FilePart(part.data);\n      return { mediaType, data };\n    })\n    .filter((part): part is UrlTaggedFile => part.data.type === 'url')\n    .map(part => ({\n      url: part.data.url,\n      isUrlSupportedByModel:\n        part.mediaType != null &&\n        isUrlSupported({\n          url: part.data.url.toString(),\n          mediaType: part.mediaType,\n          supportedUrls,\n        }),\n    }));\n  // download in parallel:\n  const downloadedFiles = await download(plannedDownloads);\n\n  return Object.fromEntries(\n    downloadedFiles\n      .map((file, index) =>\n        file == null\n          ? null\n          : [\n              plannedDownloads[index].url.toString(),\n              { data: file.data, mediaType: file.mediaType },\n            ],\n      )\n      .filter(file => file != null),\n  );\n}\n\n/**\n * Convert part of a user message to a LanguageModelV4Part.\n *\n * @param part - The part to convert.\n * @param downloadedAssets - A map of URLs to their downloaded data. Only\n * available if the model does not support URLs, null otherwise.\n * @returns The converted part.\n */\nfunction convertPartToLanguageModelPart(\n  part: TextPart | FilePart,\n  downloadedAssets: Record<\n    string,\n    { mediaType: string | undefined; data: Uint8Array }\n  >,\n): LanguageModelV4TextPart | LanguageModelV4FilePart {\n  if (part.type === 'text') {\n    return {\n      type: 'text',\n      text: part.text,\n      providerOptions: part.providerOptions,\n    };\n  }\n\n  const { data: normalizedData, mediaType: dataUrlMediaType } =\n    convertToLanguageModelV4FilePart(part.data);\n\n  let mediaType: string | undefined = dataUrlMediaType ?? part.mediaType;\n  let data: LanguageModelV4FilePart['data'] = normalizedData;\n\n  if (data.type === 'url') {\n    const downloadedFile = downloadedAssets[data.url.toString()];\n    if (downloadedFile) {\n      data = { type: 'data', data: downloadedFile.data };\n      if (\n        downloadedFile.mediaType != null &&\n        (mediaType == null || !isFullMediaType(mediaType))\n      ) {\n        mediaType = downloadedFile.mediaType;\n      }\n    }\n  }\n\n  if (\n    data.type === 'data' &&\n    (data.data instanceof Uint8Array || typeof data.data === 'string')\n  ) {\n    const imageMediaType = detectMediaType({\n      data: data.data,\n      topLevelType: 'image',\n    });\n    if (imageMediaType != null) {\n      mediaType = imageMediaType;\n    }\n  }\n\n  if (mediaType == null) {\n    throw new Error(`Media type is missing for file part`);\n  }\n\n  return {\n    type: 'file',\n    mediaType,\n    filename: part.filename,\n    data,\n    providerOptions: part.providerOptions,\n  };\n}\n\nexport function mapToolResultOutput({\n  output,\n  // `provider` is only needed here to convert legacy \"file-id\" and \"image-file-id\" types to provider references, in case they are using string ID values.\n  // TODO: remove in v8 when \"file-id\" and \"image-file-id\" types are removed\n  provider,\n  warnings = [],\n  downloadedAssets,\n}: {\n  output: ToolResultOutput;\n  provider?: string;\n  warnings?: Warning[];\n  downloadedAssets: Record<\n    string,\n    { mediaType: string | undefined; data: Uint8Array }\n  >;\n}): LanguageModelV4ToolResultOutput {\n  if (output.type !== 'content') {\n    return output;\n  }\n\n  return {\n    type: 'content',\n    value: output.value.map(item => {\n      switch (item.type) {\n        case 'file': {\n          const convertedPart = convertPartToLanguageModelPart(\n            item,\n            downloadedAssets,\n          );\n\n          if (convertedPart.type !== 'file') {\n            throw new Error(\n              'Expected tool result file content to convert to file.',\n            );\n          }\n\n          return convertedPart;\n        }\n        case 'file-data': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"file-data\"',\n            message: `The \"file-data\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'data', data } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: { type: 'data' as const, data: item.data },\n            filename: item.filename,\n            mediaType: item.mediaType,\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'file-url': {\n          const mediaType = item.mediaType ?? getMediaTypeFromUrl(item.url);\n          let message = `The \"file-url\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'url', url } instead.`;\n          if (!item.mediaType) {\n            const inferenceSuffix =\n              mediaType === 'application/octet-stream'\n                ? `Unable to infer media type from URL. Defaulting to 'application/octet-stream'.`\n                : `Inferred media type '${mediaType}' from URL.`;\n            message = `The \"file-url\" tool result content part with URL \"${item.url}\" is missing a \"mediaType\". ${inferenceSuffix} ${message}`;\n          }\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"file-url\"',\n            message,\n          });\n          return {\n            type: 'file' as const,\n            data: { type: 'url' as const, url: new URL(item.url) },\n            mediaType,\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'file-id': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"file-id\"',\n            message: `The \"file-id\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'reference', reference } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: {\n              type: 'reference' as const,\n              reference: convertFileIdToProviderReference({\n                fileId: item.fileId,\n                provider,\n              }),\n            },\n            mediaType: 'application',\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'file-reference': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"file-reference\"',\n            message: `The \"file-reference\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'reference', reference } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: {\n              type: 'reference' as const,\n              reference: item.providerReference,\n            },\n            mediaType: 'application',\n            providerOptions: item.providerOptions,\n          };\n        }\n        // The \"image-*\" types are legacy and deprecated.\n        // TODO: remove migration in v8 in combination with the removal of these types from the provider utils.\n        case 'image-data': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"image-data\"',\n            message: `The \"image-data\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'data', data } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: { type: 'data' as const, data: item.data },\n            mediaType: item.mediaType,\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'image-url': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"image-url\"',\n            message: `The \"image-url\" type for tool result content is deprecated. Use the \"file\" type with mediaType 'image' (or a specific image/* subtype) and { type: 'url', url } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: { type: 'url' as const, url: new URL(item.url) },\n            mediaType: 'image',\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'image-file-id': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"image-file-id\"',\n            message: `The \"image-file-id\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'reference', reference } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: {\n              type: 'reference' as const,\n              reference: convertFileIdToProviderReference({\n                fileId: item.fileId,\n                provider,\n              }),\n            },\n            mediaType: 'image',\n            providerOptions: item.providerOptions,\n          };\n        }\n        case 'image-file-reference': {\n          warnings.push({\n            type: 'deprecated',\n            setting: '\"tool-result\" content of type \"image-file-reference\"',\n            message: `The \"image-file-reference\" type for tool result content is deprecated. Use the \"file\" type with mediaType and { type: 'reference', reference } instead.`,\n          });\n          return {\n            type: 'file' as const,\n            data: {\n              type: 'reference' as const,\n              reference: item.providerReference,\n            },\n            mediaType: 'image',\n            providerOptions: item.providerOptions,\n          };\n        }\n        default:\n          return item;\n      }\n    }),\n  };\n}\n\nfunction convertFileIdToProviderReference({\n  fileId,\n  provider,\n}: {\n  fileId: string | Record<string, string>;\n  provider?: string;\n}): Record<string, string> {\n  if (typeof fileId === 'object') {\n    return fileId;\n  }\n\n  if (provider == null) {\n    throw new Error(\n      'Cannot convert string fileId to provider reference without a provider ID. ' +\n        'Use a Record<string, string> fileId or switch to the file-reference type.',\n    );\n  }\n\n  return { [provider]: fileId };\n}\n\n// Temporary private helper (see below).\nconst URL_EXTENSION_TO_MEDIA_TYPE: Record<string, string> = {\n  jpg: 'image/jpeg',\n  jpeg: 'image/jpeg',\n  png: 'image/png',\n  gif: 'image/gif',\n  webp: 'image/webp',\n  svg: 'image/svg+xml',\n  avif: 'image/avif',\n  heic: 'image/heic',\n  bmp: 'image/bmp',\n  tiff: 'image/tiff',\n  tif: 'image/tiff',\n  pdf: 'application/pdf',\n  mp4: 'video/mp4',\n  webm: 'video/webm',\n  mp3: 'audio/mpeg',\n  wav: 'audio/wav',\n  ogg: 'audio/ogg',\n};\n\n/*\n * Attempts to infer an IANA media type from the file extension in a URL's\n * pathname. Returns `fallbackMediaType` when the extension is absent,\n * unrecognized, or the URL cannot be parsed.\n *\n * Temporary private helper as a best-effort solution for missing media types on \"file-url\" content parts.\n */\nfunction getMediaTypeFromUrl(\n  url: string,\n  fallbackMediaType = 'application/octet-stream',\n): string {\n  try {\n    const pathname = new URL(url).pathname;\n    const fileExtension = pathname.split('.').pop()?.toLowerCase();\n    if (\n      fileExtension &&\n      Object.hasOwn(URL_EXTENSION_TO_MEDIA_TYPE, fileExtension)\n    ) {\n      return URL_EXTENSION_TO_MEDIA_TYPE[fileExtension];\n    }\n  } catch {\n    // ignore URL parse errors\n  }\n  return fallbackMediaType;\n}\n", "import {\n  cancelResponseBody,\n  DownloadError,\n  readResponseWithSizeLimit,\n  DEFAULT_MAX_DOWNLOAD_SIZE,\n  fetchWithValidatedRedirects,\n  withUserAgentSuffix,\n  getRuntimeEnvironmentUserAgent,\n} from '@ai-sdk/provider-utils';\nimport { VERSION } from '../../version';\n\n/**\n * Download a file from a URL.\n *\n * @param url - The URL to download from.\n * @param maxBytes - Maximum allowed download size in bytes. Defaults to 100 MiB.\n * @param abortSignal - An optional abort signal to cancel the download.\n * @returns The downloaded data and media type.\n *\n * @throws DownloadError if the download fails or exceeds maxBytes.\n */\nexport const download = async ({\n  url,\n  maxBytes,\n  abortSignal,\n}: {\n  url: URL;\n  maxBytes?: number;\n  abortSignal?: AbortSignal;\n}) => {\n  const urlText = url.toString();\n  try {\n    const headers = withUserAgentSuffix(\n      {},\n      `ai-sdk/${VERSION}`,\n      getRuntimeEnvironmentUserAgent(),\n    );\n\n    const response = await fetchWithValidatedRedirects({\n      url: urlText,\n      headers,\n      abortSignal,\n    });\n\n    if (!response.ok) {\n      // Release the connection before rejecting so an error status from an\n      // attacker-controlled origin cannot leak open sockets.\n      await cancelResponseBody(response);\n      throw new DownloadError({\n        url: urlText,\n        statusCode: response.status,\n        statusText: response.statusText,\n      });\n    }\n\n    const data = await readResponseWithSizeLimit({\n      response,\n      url: urlText,\n      maxBytes: maxBytes ?? DEFAULT_MAX_DOWNLOAD_SIZE,\n    });\n\n    return {\n      data,\n      mediaType: response.headers.get('content-type') ?? undefined,\n    };\n  } catch (error) {\n    if (DownloadError.isInstance(error)) {\n      throw error;\n    }\n\n    throw new DownloadError({ url: urlText, cause: error });\n  }\n};\n", "declare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n", "import { download as originalDownload } from './download';\n\n/**\n * Experimental. Can change in patch versions without warning.\n *\n * Download function. Called with the array of URLs and a boolean indicating\n * whether the URL is supported by the model.\n *\n * The download function can decide for each URL:\n * - to return null (which means that the URL should be passed to the model)\n * - to download the asset and return the data (incl. retries, authentication, etc.)\n *\n * Should throw DownloadError if the download fails.\n *\n * Should return an array of objects sorted by the order of the requested downloads.\n * For each object, the data should be a Uint8Array if the URL was downloaded.\n * For each object, the mediaType should be the media type of the downloaded asset.\n * For each object, the data should be null if the URL should be passed through as is.\n */\nexport type DownloadFunction = (\n  options: Array<{\n    url: URL;\n    isUrlSupportedByModel: boolean;\n  }>,\n) => PromiseLike<\n  Array<{\n    data: Uint8Array;\n    mediaType: string | undefined;\n  } | null>\n>;\n\n/**\n * Default download function.\n * Downloads the file if it is not supported by the model.\n */\nexport const createDefaultDownloadFunction =\n  (download: typeof originalDownload = originalDownload): DownloadFunction =>\n  requestedDownloads =>\n    Promise.all(\n      requestedDownloads.map(async requestedDownload =>\n        requestedDownload.isUrlSupportedByModel\n          ? null\n          : await download(requestedDownload),\n      ),\n    );\n", "/**\n * Deeply merges two objects together.\n * - Properties from the `overrides` object override those in the `base` object with the same key.\n * - For nested objects, the merge is performed recursively (deep merge).\n * - Arrays are replaced, not merged.\n * - Primitive values are replaced.\n * - If both `base` and `overrides` are undefined, returns undefined.\n * - If one of `base` or `overrides` is undefined, returns the other.\n *\n * @param base The target object to merge into\n * @param overrides The source object to merge from\n * @returns A new object with the merged properties, or undefined if both inputs are undefined\n */\nexport function mergeObjects<T extends object, U extends object>(\n  base: T | undefined,\n  overrides: U | undefined,\n): (T & U) | T | U | undefined {\n  // If both inputs are undefined, return undefined\n  if (base === undefined && overrides === undefined) {\n    return undefined;\n  }\n\n  // If target is undefined, return source\n  if (base === undefined) {\n    return overrides;\n  }\n\n  // If source is undefined, return target\n  if (overrides === undefined) {\n    return base;\n  }\n\n  // Create a new object to avoid mutating the inputs\n  const result = { ...base } as T & U;\n\n  // Iterate through all keys in the source object\n  for (const key in overrides) {\n    // Skip prototype-polluting keys when merging untrusted input\n    if (key === '__proto__' || key === 'constructor' || key === 'prototype') {\n      continue;\n    }\n\n    if (Object.prototype.hasOwnProperty.call(overrides, key)) {\n      const overridesValue = overrides[key];\n\n      // Skip if the overrides value is undefined\n      if (overridesValue === undefined) continue;\n\n      // Get the base value if it exists\n      const baseValue =\n        key in base ? base[key as unknown as keyof T] : undefined;\n\n      // Check if both values are objects that can be deeply merged\n      const isSourceObject =\n        overridesValue !== null &&\n        typeof overridesValue === 'object' &&\n        !Array.isArray(overridesValue) &&\n        !(overridesValue instanceof Date) &&\n        !(overridesValue instanceof RegExp);\n\n      const isTargetObject =\n        baseValue !== null &&\n        baseValue !== undefined &&\n        typeof baseValue === 'object' &&\n        !Array.isArray(baseValue) &&\n        !(baseValue instanceof Date) &&\n        !(baseValue instanceof RegExp);\n\n      // If both values are mergeable objects, merge them recursively\n      if (isSourceObject && isTargetObject) {\n        result[key as keyof (T & U)] = mergeObjects(\n          baseValue as object,\n          overridesValue as object,\n        ) as any;\n      } else {\n        // For primitives, arrays, or when one value is not a mergeable object,\n        // simply override with the source value\n        result[key as keyof (T & U)] = overridesValue as any;\n      }\n    }\n  }\n\n  return result;\n}\n", "import type { LanguageModelV4FilePart } from '@ai-sdk/provider';\nimport {\n  isBuffer,\n  isProviderReference,\n  type DataContent,\n  type FilePart,\n  type ProviderReference,\n} from '@ai-sdk/provider-utils';\nimport { InvalidDataContentError } from './invalid-data-content-error';\nimport { splitDataUrl } from './split-data-url';\n\ntype TaggedFileData = Extract<FilePart['data'], { type: string }>;\n\nfunction isTaggedFileData(value: unknown): value is TaggedFileData {\n  if (typeof value !== 'object' || value === null) return false;\n  const type = (value as { type?: unknown }).type;\n  return (\n    type === 'data' || type === 'url' || type === 'reference' || type === 'text'\n  );\n}\n\ntype ConvertResult = {\n  data: LanguageModelV4FilePart['data'];\n  mediaType: string | undefined;\n};\n\nfunction convertUrlToFilePartData(url: URL): ConvertResult {\n  if (url.protocol === 'data:') {\n    const { mediaType, base64Content } = splitDataUrl(url.toString());\n\n    if (mediaType == null || base64Content == null) {\n      throw new InvalidDataContentError({\n        content: url,\n        message: `Invalid data URL format in content ${url.toString()}`,\n      });\n    }\n\n    return { data: { type: 'data', data: base64Content }, mediaType };\n  }\n\n  return { data: { type: 'url', url }, mediaType: undefined };\n}\n\nfunction convertInlineDataToFilePartData(content: DataContent): ConvertResult {\n  if (content instanceof Uint8Array) {\n    return { data: { type: 'data', data: content }, mediaType: undefined };\n  }\n  if (content instanceof ArrayBuffer) {\n    return {\n      data: { type: 'data', data: new Uint8Array(content) },\n      mediaType: undefined,\n    };\n  }\n  if (isBuffer(content)) {\n    return {\n      data: { type: 'data', data: new Uint8Array(content) },\n      mediaType: undefined,\n    };\n  }\n  return {\n    data: { type: 'data', data: content as string },\n    mediaType: undefined,\n  };\n}\n\n/**\n * Converts any legacy-or-tagged top-level `FilePart.data` /\n * `ReasoningFilePart.data` value into the tagged v4 provider prompt shape.\n *\n * Returns the tagged `data` together with the resolved mediaType (extracted\n * from a `data:` URL when applicable).\n */\nexport function convertToLanguageModelV4FilePart(\n  content: FilePart['data'],\n): ConvertResult {\n  if (isTaggedFileData(content)) {\n    switch (content.type) {\n      case 'data':\n        if (\n          typeof content.data === 'string' &&\n          content.data.startsWith('data:')\n        ) {\n          throw new InvalidDataContentError({\n            content: content.data,\n            message:\n              'Data URLs are not valid inline data. Pass them as { type: \"url\", url } instead.',\n          });\n        }\n        return convertInlineDataToFilePartData(content.data);\n      case 'url':\n        return convertUrlToFilePartData(content.url);\n      case 'reference':\n        return {\n          data: { type: 'reference', reference: content.reference },\n          mediaType: undefined,\n        };\n      case 'text':\n        return {\n          data: { type: 'text', text: content.text },\n          mediaType: undefined,\n        };\n    }\n  }\n\n  if (content instanceof URL) {\n    return convertUrlToFilePartData(content);\n  }\n\n  if (typeof content === 'string') {\n    try {\n      return convertUrlToFilePartData(new URL(content));\n    } catch {\n      return convertInlineDataToFilePartData(content);\n    }\n  }\n\n  if (isProviderReference(content)) {\n    return {\n      data: { type: 'reference', reference: content as ProviderReference },\n      mediaType: undefined,\n    };\n  }\n\n  return convertInlineDataToFilePartData(content as DataContent);\n}\n", "export function splitDataUrl(dataUrl: string): {\n  mediaType: string | undefined;\n  base64Content: string | undefined;\n} {\n  try {\n    const [header, base64Content] = dataUrl.split(',');\n    return {\n      mediaType: header.split(';')[0].split(':')[1],\n      base64Content,\n    };\n  } catch {\n    return {\n      mediaType: undefined,\n      base64Content: undefined,\n    };\n  }\n}\n", "import { getErrorMessage, type JSONValue } from '@ai-sdk/provider';\nimport type { Tool, ToolResultOutput } from '@ai-sdk/provider-utils';\n\nexport async function createToolModelOutput({\n  toolCallId,\n  input,\n  output,\n  tool,\n  errorMode,\n}: {\n  toolCallId: string;\n  input: unknown;\n  output: unknown;\n  tool: Tool | undefined;\n  errorMode: 'none' | 'text' | 'json';\n}): Promise<ToolResultOutput> {\n  if (errorMode === 'text') {\n    return { type: 'error-text', value: getErrorMessage(output) };\n  } else if (errorMode === 'json') {\n    return { type: 'error-json', value: toJSONValue(output) };\n  }\n\n  if (tool?.toModelOutput) {\n    return await tool.toModelOutput({ toolCallId, input, output });\n  }\n\n  return typeof output === 'string'\n    ? { type: 'text', value: output }\n    : { type: 'json', value: toJSONValue(output) };\n}\n\nfunction toJSONValue(value: unknown): JSONValue {\n  return value === undefined ? null : (value as JSONValue);\n}\n", "import { InvalidArgumentError } from '../error/invalid-argument-error';\nimport type { LanguageModelCallOptions } from './language-model-call-options';\n\n/**\n * Validates model call options and returns a new object with normalized values.\n */\nexport function prepareLanguageModelCallOptions({\n  maxOutputTokens,\n  temperature,\n  topP,\n  topK,\n  presencePenalty,\n  frequencyPenalty,\n  seed,\n  stopSequences,\n  reasoning,\n}: LanguageModelCallOptions): LanguageModelCallOptions {\n  if (maxOutputTokens != null) {\n    if (!Number.isInteger(maxOutputTokens)) {\n      throw new InvalidArgumentError({\n        parameter: 'maxOutputTokens',\n        value: maxOutputTokens,\n        message: 'maxOutputTokens must be an integer',\n      });\n    }\n\n    if (maxOutputTokens < 1) {\n      throw new InvalidArgumentError({\n        parameter: 'maxOutputTokens',\n        value: maxOutputTokens,\n        message: 'maxOutputTokens must be >= 1',\n      });\n    }\n  }\n\n  if (temperature != null) {\n    if (typeof temperature !== 'number') {\n      throw new InvalidArgumentError({\n        parameter: 'temperature',\n        value: temperature,\n        message: 'temperature must be a number',\n      });\n    }\n  }\n\n  if (topP != null) {\n    if (typeof topP !== 'number') {\n      throw new InvalidArgumentError({\n        parameter: 'topP',\n        value: topP,\n        message: 'topP must be a number',\n      });\n    }\n  }\n\n  if (topK != null) {\n    if (typeof topK !== 'number') {\n      throw new InvalidArgumentError({\n        parameter: 'topK',\n        value: topK,\n        message: 'topK must be a number',\n      });\n    }\n  }\n\n  if (presencePenalty != null) {\n    if (typeof presencePenalty !== 'number') {\n      throw new InvalidArgumentError({\n        parameter: 'presencePenalty',\n        value: presencePenalty,\n        message: 'presencePenalty must be a number',\n      });\n    }\n  }\n\n  if (frequencyPenalty != null) {\n    if (typeof frequencyPenalty !== 'number') {\n      throw new InvalidArgumentError({\n        parameter: 'frequencyPenalty',\n        value: frequencyPenalty,\n        message: 'frequencyPenalty must be a number',\n      });\n    }\n  }\n\n  if (seed != null) {\n    if (!Number.isInteger(seed)) {\n      throw new InvalidArgumentError({\n        parameter: 'seed',\n        value: seed,\n        message: 'seed must be an integer',\n      });\n    }\n  }\n\n  return {\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    presencePenalty,\n    frequencyPenalty,\n    stopSequences,\n    seed,\n    reasoning,\n  };\n}\n", "import type { LanguageModelV4ToolChoice } from '@ai-sdk/provider';\nimport type { ToolChoice } from '../types/language-model';\n\nexport function prepareToolChoice({\n  toolChoice,\n}: {\n  // use of any because it doesn't matter for tool choice preparation\n  toolChoice: ToolChoice<any> | undefined;\n}): LanguageModelV4ToolChoice {\n  return toolChoice == null\n    ? { type: 'auto' }\n    : typeof toolChoice === 'string'\n      ? { type: toolChoice }\n      : { type: 'tool' as const, toolName: toolChoice.toolName as string };\n}\n", "import type {\n  LanguageModelV4FunctionTool,\n  LanguageModelV4ProviderTool,\n} from '@ai-sdk/provider';\nimport {\n  asSchema,\n  type Experimental_SandboxSession as SandboxSession,\n  type InferToolSetContext,\n  type Tool,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { ToolOrder } from '../generate-text/tool-order';\nimport { isNonEmptyObject } from '../util/is-non-empty-object';\n\nexport async function prepareTools<TOOLS extends ToolSet>({\n  tools,\n  toolOrder,\n  toolsContext = {} as InferToolSetContext<TOOLS>,\n  experimental_sandbox: sandbox,\n}: {\n  tools: TOOLS | undefined;\n  toolOrder?: ToolOrder<TOOLS>;\n  toolsContext?: InferToolSetContext<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n}): Promise<\n  Array<LanguageModelV4FunctionTool | LanguageModelV4ProviderTool> | undefined\n> {\n  if (!isNonEmptyObject(tools)) {\n    return undefined;\n  }\n\n  const languageModelTools: Array<\n    LanguageModelV4FunctionTool | LanguageModelV4ProviderTool\n  > = [];\n  for (const [name, tool] of orderToolEntries({ tools, toolOrder })) {\n    const toolType = tool.type;\n\n    switch (toolType) {\n      case undefined:\n      case 'dynamic':\n      case 'function': {\n        const description = resolveToolDescription({\n          tool,\n          toolName: name,\n          toolsContext,\n          experimental_sandbox: sandbox,\n        });\n        const providerOptions = tool.providerOptions;\n        const inputExamples = tool.inputExamples;\n        const strict = tool.strict;\n\n        languageModelTools.push({\n          type: 'function' as const,\n          name,\n          inputSchema: await asSchema(tool.inputSchema).jsonSchema,\n          ...(description != null ? { description } : {}),\n          ...(inputExamples != null ? { inputExamples } : {}),\n          ...(providerOptions != null ? { providerOptions } : {}),\n          ...(strict != null ? { strict } : {}),\n        });\n        break;\n      }\n      case 'provider': {\n        languageModelTools.push({\n          type: 'provider' as const,\n          name,\n          id: tool.id,\n          args: tool.args,\n        });\n        break;\n      }\n      default: {\n        const exhaustiveCheck: never = toolType as never;\n        throw new Error(`Unsupported tool type: ${exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return languageModelTools;\n}\n\nfunction orderToolEntries<TOOLS extends ToolSet>({\n  tools,\n  toolOrder,\n}: {\n  tools: TOOLS;\n  toolOrder?: ToolOrder<TOOLS>;\n}): Array<[string, Tool]> {\n  if (toolOrder == null) {\n    return Object.entries(tools);\n  }\n\n  const toolEntries = Object.entries(tools);\n\n  const orderedTools = toolEntries\n    .filter(([name]) => toolOrder.includes(name))\n    .sort(\n      ([nameA], [nameB]) => toolOrder.indexOf(nameA) - toolOrder.indexOf(nameB),\n    );\n\n  const unorderedTools = toolEntries\n    .filter(([name]) => !toolOrder.includes(name))\n    .sort(([nameA], [nameB]) => (nameA < nameB ? -1 : nameA > nameB ? 1 : 0));\n\n  return [...orderedTools, ...unorderedTools];\n}\n\nfunction resolveToolDescription<TOOLS extends ToolSet>({\n  tool,\n  toolName,\n  toolsContext,\n  experimental_sandbox: sandbox,\n}: {\n  tool: Tool;\n  toolName: string;\n  toolsContext: InferToolSetContext<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n}): string | undefined {\n  return tool.description === undefined\n    ? undefined\n    : typeof tool.description === 'string'\n      ? tool.description\n      : tool.description({\n          context: toolsContext[toolName as keyof InferToolSetContext<TOOLS>],\n          experimental_sandbox: sandbox,\n        });\n}\n", "export function isNonEmptyObject(\n  object: Record<string, unknown> | undefined | null,\n): object is Record<string, unknown> {\n  return object != null && Object.keys(object).length > 0;\n}\n", "import type { ToolSet } from '@ai-sdk/provider-utils';\n\n/**\n * Timeout configuration for API calls. Can be specified as:\n * - A number representing milliseconds\n * - An object with `totalMs` property for the total timeout in milliseconds\n * - An object with `stepMs` property for the timeout of each step in milliseconds\n * - An object with `firstChunkMs` property for the timeout until the first content chunk of each step (streaming only)\n * - An object with `chunkMs` property for the timeout between content chunks (streaming only)\n * - An object with `toolMs` property for the default timeout for all tool executions\n * - An object with `tools` property for per-tool timeout overrides using `{toolName}Ms` keys\n */\nexport type TimeoutConfiguration<TOOLS extends ToolSet> =\n  | number\n  | {\n      totalMs?: number;\n      stepMs?: number;\n      firstChunkMs?: number;\n      chunkMs?: number;\n      toolMs?: number;\n      tools?: Partial<Record<`${keyof TOOLS & string}Ms`, number>>;\n    };\n\n/**\n * Extracts the total timeout value in milliseconds from a TimeoutConfiguration.\n *\n * @param timeout - The timeout configuration.\n * @returns The total timeout in milliseconds, or undefined if no timeout is configured.\n */\nexport function getTotalTimeoutMs(\n  timeout: TimeoutConfiguration<any> | undefined,\n): number | undefined {\n  if (timeout == null) {\n    return undefined;\n  }\n  if (typeof timeout === 'number') {\n    return timeout;\n  }\n  return timeout.totalMs;\n}\n\n/**\n * Extracts the step timeout value in milliseconds from a TimeoutConfiguration.\n *\n * @param timeout - The timeout configuration.\n * @returns The step timeout in milliseconds, or undefined if no step timeout is configured.\n */\nexport function getStepTimeoutMs(\n  timeout: TimeoutConfiguration<any> | undefined,\n): number | undefined {\n  if (timeout == null || typeof timeout === 'number') {\n    return undefined;\n  }\n  return timeout.stepMs;\n}\n\n/**\n * Extracts the first chunk timeout value in milliseconds from a TimeoutConfiguration.\n * This timeout is for streaming only - it aborts if no content chunk is received within the specified duration.\n *\n * @param timeout - The timeout configuration.\n * @returns The first chunk timeout in milliseconds, or undefined if no first chunk timeout is configured.\n */\nexport function getFirstChunkTimeoutMs(\n  timeout: TimeoutConfiguration<any> | undefined,\n): number | undefined {\n  if (timeout == null || typeof timeout === 'number') {\n    return undefined;\n  }\n  return timeout.firstChunkMs;\n}\n\n/**\n * Extracts the chunk timeout value in milliseconds from a TimeoutConfiguration.\n * This timeout is for streaming only - it aborts if no new content chunk is received within the specified duration.\n *\n * @param timeout - The timeout configuration.\n * @returns The chunk timeout in milliseconds, or undefined if no chunk timeout is configured.\n */\nexport function getChunkTimeoutMs(\n  timeout: TimeoutConfiguration<any> | undefined,\n): number | undefined {\n  if (timeout == null || typeof timeout === 'number') {\n    return undefined;\n  }\n  return timeout.chunkMs;\n}\n\nexport function getToolTimeoutMs<TOOLS extends ToolSet>(\n  timeout: TimeoutConfiguration<TOOLS> | undefined,\n  toolName: keyof TOOLS & string,\n): number | undefined {\n  if (timeout == null || typeof timeout === 'number') {\n    return undefined;\n  }\n\n  return timeout.tools?.[`${toolName}Ms`] ?? timeout.toolMs;\n}\n\n/**\n * Request-facing controls. These settings affect transport, retries,\n * cancellation, headers, and timeout – not model generation behavior.\n */\nexport type RequestOptions<TOOLS extends ToolSet = ToolSet> = {\n  /**\n   * Maximum number of retries. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional HTTP headers to be sent with the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string | undefined>;\n\n  /**\n   * Timeout configuration for the request.\n   */\n  timeout?: TimeoutConfiguration<TOOLS>;\n};\n", "import { InvalidPromptError } from '@ai-sdk/provider';\nimport {\n  asArray,\n  safeValidateTypes,\n  type ModelMessage,\n} from '@ai-sdk/provider-utils';\nimport { z } from '../util/zod';\nimport { modelMessageSchema } from './message';\nimport type { Instructions, Prompt } from './prompt';\n\nexport type StandardizedPrompt = {\n  /**\n   * Instructions.\n   */\n  instructions: Instructions | undefined;\n\n  /**\n   * Messages.\n   */\n  messages: ModelMessage[];\n};\n\n/**\n * Converts a prompt input into a standardized prompt with validated model\n * messages.\n *\n * @param prompt - The prompt definition to standardize.\n * Set `allowSystemInMessages` to true to allow system messages in the\n * `prompt` or `messages` fields. System messages in the `instructions`\n * option are always allowed.\n * @returns The standardized prompt.\n * @throws {InvalidPromptError} When the prompt is invalid.\n */\nexport async function standardizePrompt({\n  allowSystemInMessages = false,\n  system,\n  instructions = system,\n  prompt,\n  messages,\n}: Prompt): Promise<StandardizedPrompt> {\n  if (prompt == null && messages == null) {\n    throw new InvalidPromptError({\n      prompt,\n      message: 'prompt or messages must be defined',\n    });\n  }\n\n  if (prompt != null && messages != null) {\n    throw new InvalidPromptError({\n      prompt,\n      message: 'prompt and messages cannot be defined at the same time',\n    });\n  }\n\n  // validate that instructions is a string or a SystemModelMessage\n  if (\n    typeof instructions !== 'string' &&\n    !asArray(instructions).every(message => message.role === 'system')\n  ) {\n    throw new InvalidPromptError({\n      prompt,\n      message:\n        'instructions must be a string, SystemModelMessage, or array of SystemModelMessage',\n    });\n  }\n\n  if (prompt != null && typeof prompt === 'string') {\n    messages = [{ role: 'user', content: prompt }];\n  } else if (prompt != null && Array.isArray(prompt)) {\n    messages = prompt;\n  } else if (messages == null) {\n    throw new InvalidPromptError({\n      prompt,\n      message: 'prompt or messages must be defined',\n    });\n  }\n\n  if (messages.length === 0) {\n    throw new InvalidPromptError({\n      prompt,\n      message: 'messages must not be empty',\n    });\n  }\n\n  if (\n    !allowSystemInMessages &&\n    messages.some(message => message.role === 'system')\n  ) {\n    throw new InvalidPromptError({\n      prompt,\n      message:\n        'System messages are not allowed in the prompt or messages fields. Use the instructions option instead.',\n    });\n  }\n\n  const validationResult = await safeValidateTypes({\n    value: messages,\n    schema: z.array(modelMessageSchema),\n  });\n\n  if (!validationResult.success) {\n    throw new InvalidPromptError({\n      prompt,\n      message: 'The messages do not match the ModelMessage[] schema.',\n      cause: validationResult.error,\n    });\n  }\n\n  return { messages, instructions };\n}\n", "import {\n  array,\n  boolean,\n  custom,\n  discriminatedUnion,\n  enum as enumType,\n  instanceof as instanceOf,\n  lazy,\n  literal,\n  looseObject,\n  never,\n  null as nullType,\n  number,\n  object,\n  record,\n  string,\n  union,\n  unknown,\n} from 'zod/v4';\n\n// Import individual Zod factories so bundlers can tree-shake the full `z`\n// namespace, which also re-exports every locale.\nexport const z = {\n  array,\n  boolean,\n  custom,\n  discriminatedUnion,\n  enum: enumType,\n  instanceof: instanceOf,\n  lazy,\n  literal,\n  looseObject,\n  never,\n  null: nullType,\n  number,\n  object,\n  record,\n  string,\n  union,\n  unknown,\n};\n\nexport type { ZodType } from 'zod/v4';\n", "import type { JSONValue as OriginalJSONValue } from '@ai-sdk/provider';\nimport { z, type ZodType } from '../util/zod';\n\nexport const jsonValueSchema: ZodType<JSONValue> = z.lazy(() =>\n  z.union([\n    z.null(),\n    z.string(),\n    z.number(),\n    z.boolean(),\n    z.record(z.string(), jsonValueSchema.optional()),\n    z.array(jsonValueSchema),\n  ]),\n);\n\nexport type JSONValue = OriginalJSONValue;\n", "import type { SharedV4ProviderMetadata } from '@ai-sdk/provider';\nimport { z, type ZodType } from '../util/zod';\nimport { jsonValueSchema } from './json-value';\n\n/**\n * Additional provider-specific metadata that is returned from the provider.\n *\n * This is needed to enable provider-specific functionality that can be\n * fully encapsulated in the provider.\n */\nexport type ProviderMetadata = SharedV4ProviderMetadata;\n\nexport const providerMetadataSchema: ZodType<ProviderMetadata> = z.record(\n  z.string(),\n  z.record(z.string(), jsonValueSchema.optional()),\n);\n", "import {\n  isBuffer,\n  type CustomPart,\n  type DataContent,\n  type FilePart,\n  type ImagePart,\n  type ProviderOptions,\n  type ReasoningFilePart,\n  type ReasoningPart,\n  type TextPart,\n  type ToolApprovalRequest,\n  type ToolApprovalResponse,\n  type ToolResultOutput,\n  type ToolResultPart,\n} from '@ai-sdk/provider-utils';\nimport { jsonValueSchema } from '../types/json-value';\nimport { providerMetadataSchema } from '../types/provider-metadata';\nimport { z, type ZodType } from '../util/zod';\n\nconst fileInlineDataSchema: ZodType<DataContent> = z.union([\n  z.string(),\n  z.instanceof(Uint8Array),\n  z.instanceof(ArrayBuffer),\n  z.custom<Buffer>(isBuffer, { message: 'Must be a Buffer' }),\n]);\n\nconst providerReferenceSchema = z.record(z.string(), z.string());\n\n/**\n * @internal\n */\nexport const textPartSchema: ZodType<TextPart> = z.object({\n  type: z.literal('text'),\n  text: z.string(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\n/**\n * @internal\n * @deprecated Use `filePartSchema` with `mediaType: 'image'` instead:\n * `{ type: 'file', mediaType: 'image', data: { type: 'data', data } }`.\n */\nexport const imagePartSchema: ZodType<ImagePart> = z.object({\n  type: z.literal('image'),\n  image: z.union([\n    fileInlineDataSchema,\n    z.instanceof(URL),\n    providerReferenceSchema,\n  ]),\n  mediaType: z.string().optional(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\nconst taggedFileDataSchema = z.discriminatedUnion('type', [\n  z.object({ type: z.literal('data'), data: fileInlineDataSchema }),\n  z.object({ type: z.literal('url'), url: z.instanceof(URL) }),\n  z.object({\n    type: z.literal('reference'),\n    reference: providerReferenceSchema,\n  }),\n  z.object({ type: z.literal('text'), text: z.string() }),\n]);\n\nconst taggedReasoningFileDataSchema = z.discriminatedUnion('type', [\n  z.object({ type: z.literal('data'), data: fileInlineDataSchema }),\n  z.object({ type: z.literal('url'), url: z.instanceof(URL) }),\n]);\n\n/**\n * @internal\n */\nexport const filePartSchema: ZodType<FilePart> = z.object({\n  type: z.literal('file'),\n  data: z.union([\n    taggedFileDataSchema,\n    fileInlineDataSchema,\n    z.instanceof(URL),\n    providerReferenceSchema,\n  ]),\n  filename: z.string().optional(),\n  mediaType: z.string(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\n/**\n * @internal\n */\nexport const reasoningPartSchema: ZodType<ReasoningPart> = z.object({\n  type: z.literal('reasoning'),\n  text: z.string(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\n/**\n * @internal\n */\nexport const customPartSchema: ZodType<CustomPart> = z.object({\n  type: z.literal('custom'),\n  kind: z.string().transform(value => value as `${string}.${string}`),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\n/**\n * @internal\n */\nexport const reasoningFilePartSchema: ZodType<ReasoningFilePart> = z.object({\n  type: z.literal('reasoning-file'),\n  data: z.union([\n    taggedReasoningFileDataSchema,\n    fileInlineDataSchema,\n    z.instanceof(URL),\n  ]),\n  mediaType: z.string(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\n/**\n * Tool call content part of a prompt. It contains a tool call (usually generated by the AI model).\n */\nexport interface ToolCallPart {\n  type: 'tool-call';\n\n  /**\n   * ID of the tool call. This ID is used to match the tool call with the tool result.\n   */\n  toolCallId: string;\n\n  /**\n   * Name of the tool that is being called.\n   */\n  toolName: string;\n\n  /**\n   * Arguments of the tool call. This is a JSON-serializable object that matches the tool's input schema.\n   */\n  input: unknown;\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerOptions?: ProviderOptions;\n}\n\n/**\n * @internal\n */\nexport const toolCallPartSchema: ZodType<ToolCallPart> = z.object({\n  type: z.literal('tool-call'),\n  toolCallId: z.string(),\n  toolName: z.string(),\n  input: z.unknown(),\n  providerOptions: providerMetadataSchema.optional(),\n  providerExecuted: z.boolean().optional(),\n}) as ZodType<ToolCallPart>; // necessary bc input is optional on Zod type\n\n/**\n * @internal\n */\nexport const outputSchema: ZodType<ToolResultOutput> = z.discriminatedUnion(\n  'type',\n  [\n    z.object({\n      type: z.literal('text'),\n      value: z.string(),\n      providerOptions: providerMetadataSchema.optional(),\n    }),\n    z.object({\n      type: z.literal('json'),\n      value: jsonValueSchema,\n      providerOptions: providerMetadataSchema.optional(),\n    }),\n    z.object({\n      type: z.literal('execution-denied'),\n      reason: z.string().optional(),\n      providerOptions: providerMetadataSchema.optional(),\n    }),\n    z.object({\n      type: z.literal('error-text'),\n      value: z.string(),\n      providerOptions: providerMetadataSchema.optional(),\n    }),\n    z.object({\n      type: z.literal('error-json'),\n      value: jsonValueSchema,\n      providerOptions: providerMetadataSchema.optional(),\n    }),\n    z.object({\n      type: z.literal('content'),\n      value: z.array(\n        z.union([\n          z.object({\n            type: z.literal('text'),\n            text: z.string(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            type: z.literal('file'),\n            data: taggedFileDataSchema,\n            mediaType: z.string(),\n            filename: z.string().optional(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('file-data'),\n            data: z.string(),\n            mediaType: z.string(),\n            filename: z.string().optional(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('file-url'),\n            url: z.string(),\n            mediaType: z.string().optional(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('file-id'),\n            fileId: z.union([z.string(), z.record(z.string(), z.string())]),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('file-reference'),\n            providerReference: z.record(z.string(), z.string()),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('image-data'),\n            data: z.string(),\n            mediaType: z.string(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('image-url'),\n            url: z.string(),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('image-file-id'),\n            fileId: z.union([z.string(), z.record(z.string(), z.string())]),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            // Deprecated.\n            type: z.literal('image-file-reference'),\n            providerReference: z.record(z.string(), z.string()),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n          z.object({\n            type: z.literal('custom'),\n            providerOptions: providerMetadataSchema.optional(),\n          }),\n        ]),\n      ),\n    }),\n  ],\n);\n\n/**\n * @internal\n */\nexport const toolResultPartSchema: ZodType<ToolResultPart> = z.object({\n  type: z.literal('tool-result'),\n  toolCallId: z.string(),\n  toolName: z.string(),\n  output: outputSchema,\n  providerOptions: providerMetadataSchema.optional(),\n}) as ZodType<ToolResultPart>; // necessary bc result is optional on Zod type\n\n/**\n * @internal\n */\nexport const toolApprovalRequestSchema: ZodType<ToolApprovalRequest> = z.object(\n  {\n    type: z.literal('tool-approval-request'),\n    approvalId: z.string(),\n    toolCallId: z.string(),\n  },\n);\n\n/**\n * @internal\n */\nexport const toolApprovalResponseSchema: ZodType<ToolApprovalResponse> =\n  z.object({\n    type: z.literal('tool-approval-response'),\n    approvalId: z.string(),\n    approved: z.boolean(),\n    reason: z.string().optional(),\n  });\n", "import type {\n  AssistantModelMessage,\n  ModelMessage,\n  SystemModelMessage,\n  ToolModelMessage,\n  UserModelMessage,\n} from '@ai-sdk/provider-utils';\nimport { providerMetadataSchema } from '../types/provider-metadata';\nimport { z, type ZodType } from '../util/zod';\nimport {\n  customPartSchema,\n  filePartSchema,\n  imagePartSchema,\n  reasoningFilePartSchema,\n  reasoningPartSchema,\n  textPartSchema,\n  toolApprovalRequestSchema,\n  toolCallPartSchema,\n  toolApprovalResponseSchema,\n  toolResultPartSchema,\n} from './content-part';\n\nexport const systemModelMessageSchema: ZodType<SystemModelMessage> = z.object({\n  role: z.literal('system'),\n  content: z.string(),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\nexport const userModelMessageSchema: ZodType<UserModelMessage> = z.object({\n  role: z.literal('user'),\n  content: z.union([\n    z.string(),\n    z.array(z.union([textPartSchema, imagePartSchema, filePartSchema])),\n  ]),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\nexport const assistantModelMessageSchema: ZodType<AssistantModelMessage> =\n  z.object({\n    role: z.literal('assistant'),\n    content: z.union([\n      z.string(),\n      z.array(\n        z.union([\n          textPartSchema,\n          customPartSchema,\n          filePartSchema,\n          reasoningPartSchema,\n          reasoningFilePartSchema,\n          toolCallPartSchema,\n          toolResultPartSchema,\n          toolApprovalRequestSchema,\n        ]),\n      ),\n    ]),\n    providerOptions: providerMetadataSchema.optional(),\n  });\n\nexport const toolModelMessageSchema: ZodType<ToolModelMessage> = z.object({\n  role: z.literal('tool'),\n  content: z.array(z.union([toolResultPartSchema, toolApprovalResponseSchema])),\n  providerOptions: providerMetadataSchema.optional(),\n});\n\nexport const modelMessageSchema: ZodType<ModelMessage> = z.union([\n  systemModelMessageSchema,\n  userModelMessageSchema,\n  assistantModelMessageSchema,\n  toolModelMessageSchema,\n]);\n", "import { GatewayAuthenticationError } from '@ai-sdk/gateway';\nimport { AISDKError } from '@ai-sdk/provider';\n\nexport function wrapGatewayError(error: unknown): unknown {\n  if (!GatewayAuthenticationError.isInstance(error)) return error;\n\n  const isProductionEnv = process?.env.NODE_ENV === 'production';\n  const moreInfoURL = 'https://ai-sdk.dev/unauthenticated-ai-gateway';\n\n  if (isProductionEnv) {\n    return new AISDKError({\n      name: 'GatewayError',\n      message: `Unauthenticated. Configure AI_GATEWAY_API_KEY or use a provider module. Learn more: ${moreInfoURL}`,\n    });\n  }\n\n  return Object.assign(\n    new Error(`\\u001b[1m\\u001b[31mUnauthenticated request to AI Gateway.\\u001b[0m\n\nTo authenticate, set the \\u001b[33mAI_GATEWAY_API_KEY\\u001b[0m environment variable with your API key.\n\nAlternatively, you can use a provider module instead of the AI Gateway.\n\nLearn more: \\u001b[34m${moreInfoURL}\\u001b[0m\n\n`),\n    { name: 'GatewayAuthenticationError' },\n  );\n}\n", "import type {\n  ImageModelV4Usage,\n  JSONObject,\n  LanguageModelV4Usage,\n} from '@ai-sdk/provider';\n\n/**\n * Represents the number of tokens used in a prompt and completion.\n */\nexport type LanguageModelUsage = {\n  /**\n   * The total number of input (prompt) tokens used.\n   */\n  inputTokens: number | undefined;\n\n  /**\n   * Detailed information about the input tokens.\n   */\n  inputTokenDetails: {\n    /**\n     * The number of non-cached input (prompt) tokens used.\n     */\n    noCacheTokens: number | undefined;\n\n    /**\n     * The number of cached input (prompt) tokens read.\n     */\n    cacheReadTokens: number | undefined;\n\n    /**\n     * The number of cached input (prompt) tokens written.\n     */\n    cacheWriteTokens: number | undefined;\n  };\n\n  /**\n   * The number of total output (completion) tokens used.\n   */\n  outputTokens: number | undefined;\n\n  /**\n   * Detailed information about the output tokens.\n   */\n  outputTokenDetails: {\n    /**\n     * The number of text tokens used.\n     */\n    textTokens: number | undefined;\n\n    /**\n     * The number of reasoning tokens used.\n     */\n    reasoningTokens: number | undefined;\n  };\n\n  /**\n   * The total number of tokens used.\n   */\n  totalTokens: number | undefined;\n\n  /**\n   * Raw usage information from the provider.\n   *\n   * This is the usage information in the shape that the provider returns.\n   * It can include additional information that is not part of the standard usage information.\n   */\n  raw?: JSONObject;\n};\n\n/**\n * Represents the number of tokens used in an embedding.\n */\n// TODO replace with EmbeddingModelV4Usage once available in @ai-sdk/provider\nexport type EmbeddingModelUsage = {\n  /**\n   * The number of tokens used in the embedding.\n   */\n  tokens: number;\n};\n\nexport function asLanguageModelUsage(\n  usage: LanguageModelV4Usage,\n): LanguageModelUsage {\n  return {\n    inputTokens: usage.inputTokens.total,\n    inputTokenDetails: {\n      noCacheTokens: usage.inputTokens.noCache,\n      cacheReadTokens: usage.inputTokens.cacheRead,\n      cacheWriteTokens: usage.inputTokens.cacheWrite,\n    },\n    outputTokens: usage.outputTokens.total,\n    outputTokenDetails: {\n      textTokens: usage.outputTokens.text,\n      reasoningTokens: usage.outputTokens.reasoning,\n    },\n    totalTokens: addTokenCounts(\n      usage.inputTokens.total,\n      usage.outputTokens.total,\n    ),\n    raw: usage.raw,\n  };\n}\n\nexport function createNullLanguageModelUsage(): LanguageModelUsage {\n  return {\n    inputTokens: undefined,\n    inputTokenDetails: {\n      noCacheTokens: undefined,\n      cacheReadTokens: undefined,\n      cacheWriteTokens: undefined,\n    },\n    outputTokens: undefined,\n    outputTokenDetails: {\n      textTokens: undefined,\n      reasoningTokens: undefined,\n    },\n    totalTokens: undefined,\n    raw: undefined,\n  };\n}\n\nexport function addLanguageModelUsage(\n  usage1: LanguageModelUsage,\n  usage2: LanguageModelUsage,\n): LanguageModelUsage {\n  return {\n    inputTokens: addTokenCounts(usage1.inputTokens, usage2.inputTokens),\n    inputTokenDetails: {\n      noCacheTokens: addTokenCounts(\n        usage1.inputTokenDetails?.noCacheTokens,\n        usage2.inputTokenDetails?.noCacheTokens,\n      ),\n      cacheReadTokens: addTokenCounts(\n        usage1.inputTokenDetails?.cacheReadTokens,\n        usage2.inputTokenDetails?.cacheReadTokens,\n      ),\n      cacheWriteTokens: addTokenCounts(\n        usage1.inputTokenDetails?.cacheWriteTokens,\n        usage2.inputTokenDetails?.cacheWriteTokens,\n      ),\n    },\n    outputTokens: addTokenCounts(usage1.outputTokens, usage2.outputTokens),\n    outputTokenDetails: {\n      textTokens: addTokenCounts(\n        usage1.outputTokenDetails?.textTokens,\n        usage2.outputTokenDetails?.textTokens,\n      ),\n      reasoningTokens: addTokenCounts(\n        usage1.outputTokenDetails?.reasoningTokens,\n        usage2.outputTokenDetails?.reasoningTokens,\n      ),\n    },\n    totalTokens: addTokenCounts(usage1.totalTokens, usage2.totalTokens),\n  };\n}\n\nfunction addTokenCounts(\n  tokenCount1: number | undefined,\n  tokenCount2: number | undefined,\n): number | undefined {\n  return tokenCount1 == null && tokenCount2 == null\n    ? undefined\n    : (tokenCount1 ?? 0) + (tokenCount2 ?? 0);\n}\n\n/**\n * Usage information for an image model call.\n */\nexport type ImageModelUsage = ImageModelV4Usage;\n\nexport function addImageModelUsage(\n  usage1: ImageModelUsage,\n  usage2: ImageModelUsage,\n): ImageModelUsage {\n  return {\n    inputTokens: addTokenCounts(usage1.inputTokens, usage2.inputTokens),\n    outputTokens: addTokenCounts(usage1.outputTokens, usage2.outputTokens),\n    totalTokens: addTokenCounts(usage1.totalTokens, usage2.totalTokens),\n  };\n}\n", "/**\n * Reads a property by an untrusted key, ignoring inherited prototype members.\n *\n * Tool sets, tool contexts, and similar lookup objects are indexed by names\n * that can come from model output or client-supplied message history. Plain\n * bracket access (`obj[name]`) resolves names such as `constructor`,\n * `toString`, or `__proto__` to values on `Object.prototype`, which would slip\n * past the `== null` / `!value` guards that treat an unknown name as \"not\n * present\". This helper returns `undefined` unless `key` is an own property.\n */\nexport function getOwn<T extends object>(\n  obj: T | undefined | null,\n  key: string,\n): T[keyof T] | undefined {\n  return obj != null && Object.hasOwn(obj, key)\n    ? obj[key as keyof T]\n    : undefined;\n}\n", "import { filterNullable } from '@ai-sdk/provider-utils';\n\n/**\n * Merges multiple abort sources into a single `AbortSignal`.\n * The returned signal will abort when any input signal aborts or when any\n * numeric timeout elapses, using the reason from the first source to abort.\n *\n * @param signals - Abort signals or timeout durations in milliseconds.\n * `null` and `undefined` values are ignored.\n * @returns An `AbortSignal` that aborts when any valid source aborts,\n * or `undefined` if no valid sources are provided.\n */\nexport function mergeAbortSignals(\n  ...signals: (AbortSignal | null | undefined | number)[]\n): AbortSignal | undefined {\n  const validSignals = filterNullable(...signals).map(signal =>\n    signal instanceof AbortSignal ? signal : AbortSignal.timeout(signal),\n  );\n\n  return validSignals.length === 0\n    ? undefined\n    : validSignals.length === 1\n      ? validSignals[0]\n      : AbortSignal.any(validSignals);\n}\n", "// Shim for performance.now() to support environments that don't have it:\nexport function now(): number {\n  return globalThis?.performance?.now() ?? Date.now();\n}\n", "import { asArray, type Arrayable } from '@ai-sdk/provider-utils';\nimport type { Callback } from './callback';\n\n/**\n * Notifies all provided callbacks with the given event in parallel.\n * Errors in callbacks do not break the generation flow.\n */\nexport async function notify<EVENT>(options: {\n  event: EVENT;\n  callbacks?: Arrayable<Callback<EVENT> | undefined | null>;\n}): Promise<void> {\n  await Promise.all(\n    asArray(options.callbacks).map(async callback => {\n      try {\n        await callback?.(options.event);\n      } catch {}\n    }),\n  );\n}\n", "import { APICallError } from '@ai-sdk/provider';\nimport { GatewayError } from '@ai-sdk/gateway';\nimport {\n  retryWithExponentialBackoff,\n  type RetryFunction,\n} from '@ai-sdk/provider-utils';\nimport { RetryError } from './retry-error';\n\nfunction getRetryDelayInMs({\n  error,\n  exponentialBackoffDelay,\n}: {\n  error: APICallError | GatewayError;\n  exponentialBackoffDelay: number;\n}): number {\n  const headers = APICallError.isInstance(error)\n    ? error.responseHeaders\n    : APICallError.isInstance(error.cause)\n      ? (error.cause as APICallError).responseHeaders\n      : undefined;\n\n  if (!headers) return exponentialBackoffDelay;\n\n  let ms: number | undefined;\n\n  // retry-ms is more precise than retry-after and used by e.g. OpenAI\n  const retryAfterMs = headers['retry-after-ms'];\n  if (retryAfterMs) {\n    const timeoutMs = parseFloat(retryAfterMs);\n    if (!Number.isNaN(timeoutMs)) {\n      ms = timeoutMs;\n    }\n  }\n\n  // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n  const retryAfter = headers['retry-after'];\n  if (retryAfter && ms === undefined) {\n    const timeoutSeconds = parseFloat(retryAfter);\n    if (!Number.isNaN(timeoutSeconds)) {\n      ms = timeoutSeconds * 1000;\n    } else {\n      ms = Date.parse(retryAfter) - Date.now();\n    }\n  }\n\n  // check that the delay is reasonable:\n  if (\n    ms != null &&\n    !Number.isNaN(ms) &&\n    0 <= ms &&\n    (ms < 60 * 1000 || ms < exponentialBackoffDelay)\n  ) {\n    return ms;\n  }\n\n  return exponentialBackoffDelay;\n}\n\n/**\n * The `retryWithExponentialBackoffRespectingRetryHeaders` strategy retries a failed API call with an exponential backoff,\n * while respecting rate limit headers (retry-after-ms and retry-after) if they are provided and reasonable (0-60 seconds).\n * You can configure the maximum number of retries, the initial delay, and the backoff factor.\n */\nexport const retryWithExponentialBackoffRespectingRetryHeaders = ({\n  maxRetries = 2,\n  initialDelayInMs = 2000,\n  backoffFactor = 2,\n  abortSignal,\n}: {\n  maxRetries?: number;\n  initialDelayInMs?: number;\n  backoffFactor?: number;\n  abortSignal?: AbortSignal;\n} = {}): RetryFunction =>\n  retryWithExponentialBackoff({\n    maxRetries,\n    initialDelayInMs,\n    backoffFactor,\n    abortSignal,\n    shouldRetry: error =>\n      error instanceof Error &&\n      ((APICallError.isInstance(error) && error.isRetryable === true) ||\n        (GatewayError.isInstance(error) && error.isRetryable === true)),\n    getDelayInMs: ({ error, exponentialBackoffDelay }) =>\n      getRetryDelayInMs({\n        error: error as APICallError | GatewayError,\n        exponentialBackoffDelay,\n      }),\n    createRetryError: ({ message, reason, errors }) =>\n      new RetryError({ message, reason, errors }),\n  });\n", "import { InvalidArgumentError } from '../error/invalid-argument-error';\nimport type { RetryFunction } from '@ai-sdk/provider-utils';\nimport { retryWithExponentialBackoffRespectingRetryHeaders } from '../util/retry-with-exponential-backoff';\n/**\n * Validate and prepare retries.\n */\nexport function prepareRetries({\n  maxRetries,\n  abortSignal,\n}: {\n  maxRetries: number | undefined;\n  abortSignal: AbortSignal | undefined;\n}): {\n  maxRetries: number;\n  retry: RetryFunction;\n} {\n  if (maxRetries != null) {\n    if (!Number.isInteger(maxRetries)) {\n      throw new InvalidArgumentError({\n        parameter: 'maxRetries',\n        value: maxRetries,\n        message: 'maxRetries must be an integer',\n      });\n    }\n\n    if (maxRetries < 0) {\n      throw new InvalidArgumentError({\n        parameter: 'maxRetries',\n        value: maxRetries,\n        message: 'maxRetries must be >= 0',\n      });\n    }\n  }\n\n  const maxRetriesResult = maxRetries ?? 2;\n\n  return {\n    maxRetries: maxRetriesResult,\n    retry: retryWithExponentialBackoffRespectingRetryHeaders({\n      maxRetries: maxRetriesResult,\n      abortSignal,\n    }),\n  };\n}\n", "/**\n * Schedules a timeout that aborts the given controller with a `TimeoutError`\n * `DOMException`, matching the reason produced by `AbortSignal.timeout(ms)`.\n *\n * @param abortController - The controller to abort when the timeout elapses.\n * If undefined, no timeout is scheduled.\n * @param label - Human-readable label included in the error message\n * (e.g. \"Step\", \"Chunk\").\n * @param timeoutMs - Duration in milliseconds before the controller is aborted.\n * If undefined, no timeout is scheduled.\n * @returns The timeout id (suitable for passing to `clearTimeout`), or\n * `undefined` if no timeout was scheduled.\n */\nexport function setAbortTimeout({\n  abortController,\n  label,\n  timeoutMs,\n}: {\n  abortController: AbortController | undefined;\n  label: string;\n  timeoutMs: number | undefined;\n}): ReturnType<typeof setTimeout> | undefined {\n  if (abortController == null || timeoutMs == null) {\n    return undefined;\n  }\n\n  return setTimeout(\n    () =>\n      abortController.abort(\n        new DOMException(\n          `${label} timeout of ${timeoutMs}ms exceeded`,\n          'TimeoutError',\n        ),\n      ),\n    timeoutMs,\n  );\n}\n", "/**\n * Calculates a token rate in tokens per second.\n *\n * Returns 0 when the token count is unknown, the duration is unknown or 0, or\n * the computed rate cannot be represented as a finite JSON-safe number.\n */\nexport function calculateTokensPerSecond({\n  tokens,\n  durationMs,\n}: {\n  tokens: number | undefined;\n  durationMs: number | undefined;\n}): number {\n  const tokenRate = (1000 * (tokens ?? 0)) / (durationMs ?? 0);\n\n  return Number.isFinite(tokenRate) ? tokenRate : 0;\n}\n", "import type {\n  ModelMessage,\n  ToolApprovalRequest,\n  ToolApprovalResponse,\n  ToolResultPart,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { InvalidToolApprovalError } from '../error/invalid-tool-approval-error';\nimport { ToolCallNotFoundForApprovalError } from '../error/tool-call-not-found-for-approval-error';\nimport type { TypedToolCall } from './tool-call';\n\nexport type CollectedToolApprovals<TOOLS extends ToolSet> = {\n  approvalRequest: ToolApprovalRequest;\n  approvalResponse: ToolApprovalResponse;\n  toolCall: TypedToolCall<TOOLS>;\n  existingToolResult?: ToolResultPart;\n};\n\n/**\n * If the last message is a tool message, this function collects all tool approvals\n * from that message.\n */\nexport function collectToolApprovals<TOOLS extends ToolSet>({\n  messages,\n}: {\n  messages: ModelMessage[];\n}): {\n  approvedToolApprovals: Array<CollectedToolApprovals<TOOLS>>;\n  deniedToolApprovals: Array<CollectedToolApprovals<TOOLS>>;\n} {\n  const lastMessage = messages.at(-1);\n\n  if (lastMessage?.role != 'tool') {\n    return {\n      approvedToolApprovals: [],\n      deniedToolApprovals: [],\n    };\n  }\n\n  // gather tool calls and prepare lookup.\n  //\n  // These maps are keyed by client-supplied ids (`toolCallId`, `approvalId`)\n  // from the message history. Using `Object.create(null)` gives them no\n  // prototype, so an id that matches an inherited object property (e.g.\n  // `toString`, `constructor`, `__proto__`) is treated as absent instead of\n  // resolving to a prototype value and slipping past the `== null` guards\n  // below (which would otherwise skip the InvalidToolApproval /\n  // ToolCallNotFound checks).\n  const toolCallsByToolCallId: Record<\n    string,\n    TypedToolCall<TOOLS>\n  > = Object.create(null);\n  for (const message of messages) {\n    if (message.role === 'assistant' && typeof message.content !== 'string') {\n      const content = message.content;\n      for (const part of content) {\n        if (part.type === 'tool-call') {\n          toolCallsByToolCallId[part.toolCallId] = part as TypedToolCall<TOOLS>;\n        }\n      }\n    }\n  }\n\n  // gather approval responses and prepare lookup\n  const toolApprovalRequestsByApprovalId: Record<string, ToolApprovalRequest> =\n    Object.create(null);\n  for (const message of messages) {\n    if (message.role === 'assistant' && typeof message.content !== 'string') {\n      const content = message.content;\n      for (const part of content) {\n        if (part.type === 'tool-approval-request') {\n          toolApprovalRequestsByApprovalId[part.approvalId] = part;\n        }\n      }\n    }\n  }\n\n  // gather tool results from the last tool message\n  const toolResults: Record<string, ToolResultPart> = Object.create(null);\n  for (const part of lastMessage.content) {\n    if (part.type === 'tool-result') {\n      toolResults[part.toolCallId] = part;\n    }\n  }\n\n  const approvedToolApprovals: Array<CollectedToolApprovals<TOOLS>> = [];\n  const deniedToolApprovals: Array<CollectedToolApprovals<TOOLS>> = [];\n\n  const approvalResponses = lastMessage.content.filter(\n    part => part.type === 'tool-approval-response',\n  );\n  for (const approvalResponse of approvalResponses) {\n    const approvalRequest =\n      toolApprovalRequestsByApprovalId[approvalResponse.approvalId];\n\n    if (approvalRequest == null) {\n      throw new InvalidToolApprovalError({\n        approvalId: approvalResponse.approvalId,\n      });\n    }\n\n    const existingToolResult = toolResults[approvalRequest.toolCallId];\n    if (\n      existingToolResult != null &&\n      (approvalResponse.approved ||\n        existingToolResult.output.type !== 'execution-denied')\n    ) {\n      continue;\n    }\n\n    const toolCall = toolCallsByToolCallId[approvalRequest.toolCallId];\n    if (toolCall == null) {\n      throw new ToolCallNotFoundForApprovalError({\n        toolCallId: approvalRequest.toolCallId,\n        approvalId: approvalRequest.approvalId,\n      });\n    }\n\n    const approval: CollectedToolApprovals<TOOLS> = {\n      approvalRequest,\n      approvalResponse,\n      toolCall,\n      ...(existingToolResult != null ? { existingToolResult } : {}),\n    };\n\n    if (approvalResponse.approved) {\n      approvedToolApprovals.push(approval);\n    } else {\n      deniedToolApprovals.push(approval);\n    }\n  }\n\n  return { approvedToolApprovals, deniedToolApprovals };\n}\n", "import {\n  executeTool,\n  isExecutableTool,\n  type Arrayable,\n  type Experimental_SandboxSession as SandboxSession,\n  type InferToolInput,\n  type InferToolSetContext,\n  type ModelMessage,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport {\n  getToolTimeoutMs,\n  type TimeoutConfiguration,\n} from '../prompt/request-options';\nimport type { TelemetryDispatcher } from '../telemetry/telemetry';\nimport { getOwn } from '../util/get-own';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { notify } from '../util/notify';\nimport { now } from '../util/now';\nimport type { TypedToolCall } from './tool-call';\nimport type { TypedToolError } from './tool-error';\nimport type {\n  OnToolExecutionEndCallback,\n  OnToolExecutionStartCallback,\n  ToolExecutionEndEvent,\n  ToolExecutionStartEvent,\n} from './tool-execution-events';\nimport type { ToolOutput } from './tool-output';\nimport type { TypedToolResult } from './tool-result';\nimport { validateToolContext } from './validate-tool-context';\n\n/**\n * Executes a single tool call and manages its lifecycle callbacks.\n *\n * This function handles the complete tool execution flow:\n * 1. Invokes `onToolExecutionStart` callback before execution\n * 2. Executes the tool's `execute` function with proper context\n * 3. Handles streaming outputs via `onPreliminaryToolResult`\n * 4. Invokes `onToolExecutionEnd` callback with success or error result\n *\n * @returns The tool output with performance metrics, or undefined if the tool has no execute function.\n */\nexport async function executeToolCall<TOOLS extends ToolSet>({\n  toolCall,\n  tools,\n  toolsContext,\n  callId,\n  messages,\n  abortSignal,\n  timeout,\n  experimental_sandbox: sandbox,\n  onPreliminaryToolResult,\n  onToolExecutionStart,\n  onToolExecutionEnd,\n  executeToolInTelemetryContext = async ({ execute }) => await execute(),\n  runInTracingChannelSpan = async ({ execute }) => await execute(),\n}: {\n  toolCall: TypedToolCall<TOOLS>;\n  tools: TOOLS | undefined;\n  callId: string;\n  messages: ModelMessage[];\n  abortSignal: AbortSignal | undefined;\n  toolsContext: InferToolSetContext<TOOLS>;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  onPreliminaryToolResult?: (result: TypedToolResult<TOOLS>) => void;\n  onToolExecutionStart?: Arrayable<OnToolExecutionStartCallback<TOOLS>>;\n  onToolExecutionEnd?: Arrayable<OnToolExecutionEndCallback<TOOLS>>;\n  executeToolInTelemetryContext?: <T>(\n    params: Partial<ToolExecutionStartEvent<TOOLS>> & {\n      callId: string;\n      toolCallId: string;\n      execute: () => PromiseLike<T>;\n    },\n  ) => PromiseLike<T>;\n  runInTracingChannelSpan?: NonNullable<\n    TelemetryDispatcher['runInTracingChannelSpan']\n  >;\n}): Promise<\n  | {\n      output: ToolOutput<TOOLS>;\n      toolExecutionMs: number;\n    }\n  | undefined\n> {\n  const { toolName, toolCallId, input } = toolCall;\n  const tool = getOwn(tools, toolName);\n\n  if (!isExecutableTool(tool)) {\n    return undefined;\n  }\n\n  const context = await validateToolContext({\n    toolName,\n    context: getOwn(toolsContext, toolName),\n    contextSchema: tool.contextSchema,\n  });\n\n  const toolExecutionContext = {\n    toolCall,\n    messages,\n    toolContext: context,\n  };\n  const baseCallbackEvent = {\n    callId,\n    ...toolExecutionContext,\n  };\n\n  return await runInTracingChannelSpan({\n    type: 'executeTool',\n    event: baseCallbackEvent,\n    execute: async () => {\n      let output: unknown;\n\n      await notify({\n        event: baseCallbackEvent as ToolExecutionStartEvent<TOOLS>,\n        callbacks: onToolExecutionStart,\n      });\n\n      const toolTimeoutMs = getToolTimeoutMs<TOOLS>(timeout, toolName);\n      const toolAbortSignal = mergeAbortSignals(abortSignal, toolTimeoutMs);\n\n      let toolExecutionMs = 0;\n      try {\n        // Integration wrappers keep nested AI SDK calls associated with this tool execution.\n        await executeToolInTelemetryContext({\n          callId,\n          toolCallId,\n          ...(toolExecutionContext as Partial<ToolExecutionStartEvent<TOOLS>>),\n          execute: async () => {\n            const startTime = now();\n            try {\n              const stream = executeTool({\n                tool,\n                input: input as InferToolInput<typeof tool>,\n                options: {\n                  toolCallId,\n                  messages,\n                  abortSignal: toolAbortSignal,\n                  context,\n                  experimental_sandbox: sandbox,\n                },\n              });\n\n              for await (const part of stream) {\n                if (part.type === 'preliminary') {\n                  onPreliminaryToolResult?.({\n                    ...toolCall,\n                    type: 'tool-result',\n                    output: part.output,\n                    preliminary: true,\n                  });\n                } else {\n                  output = part.output;\n                }\n              }\n            } finally {\n              toolExecutionMs = now() - startTime;\n            }\n          },\n        });\n      } catch (error) {\n        const toolError = {\n          type: 'tool-error',\n          toolCallId,\n          toolName,\n          input,\n          error,\n          dynamic: tool.type === 'dynamic',\n          ...(toolCall.providerMetadata != null\n            ? { providerMetadata: toolCall.providerMetadata }\n            : {}),\n          ...(toolCall.toolMetadata != null\n            ? { toolMetadata: toolCall.toolMetadata }\n            : {}),\n        } as TypedToolError<TOOLS>;\n\n        await notify({\n          event: {\n            ...baseCallbackEvent,\n            toolOutput: toolError,\n            toolExecutionMs,\n          } as ToolExecutionEndEvent<TOOLS>,\n          callbacks: onToolExecutionEnd,\n        });\n\n        return {\n          output: toolError,\n          toolExecutionMs,\n        };\n      }\n\n      const toolResult = {\n        type: 'tool-result',\n        toolCallId,\n        toolName,\n        input,\n        output,\n        dynamic: tool.type === 'dynamic',\n        ...(toolCall.providerMetadata != null\n          ? { providerMetadata: toolCall.providerMetadata }\n          : {}),\n        ...(toolCall.toolMetadata != null\n          ? { toolMetadata: toolCall.toolMetadata }\n          : {}),\n      } as TypedToolResult<TOOLS>;\n\n      await notify({\n        event: {\n          ...baseCallbackEvent,\n          toolOutput: toolResult,\n          toolExecutionMs,\n        } as ToolExecutionEndEvent<TOOLS>,\n        callbacks: onToolExecutionEnd,\n      });\n\n      return {\n        output: toolResult,\n        toolExecutionMs,\n      };\n    },\n  });\n}\n", "import { validateTypes, type FlexibleSchema } from '@ai-sdk/provider-utils';\n/**\n * Validates a tool context value against the tool's optional context schema.\n *\n * When no context schema is defined, the original context value is returned as-is.\n * Otherwise, the context is validated and normalized through the schema before\n * being passed into tool execution and approval hooks.\n *\n * @throws {TypeValidationError} When the provided tool context does not match\n * the tool's declared `contextSchema`.\n */\nexport async function validateToolContext<CONTEXT>({\n  toolName,\n  context,\n  contextSchema,\n}: {\n  toolName: string;\n  context: unknown;\n  contextSchema: FlexibleSchema<CONTEXT> | undefined;\n}): Promise<CONTEXT> {\n  if (contextSchema == null) {\n    return context as CONTEXT;\n  }\n\n  return await validateTypes({\n    value: context,\n    schema: contextSchema,\n    context: {\n      field: 'tool context',\n      entityName: toolName,\n    },\n  });\n}\n", "import type { ToolSet } from '@ai-sdk/provider-utils';\nimport type { ActiveTools } from './active-tools';\n\nexport type ActiveToolSubset<\n  TOOLS extends ToolSet | undefined,\n  ACTIVE_TOOL_NAMES extends ActiveTools<NonNullable<TOOLS>>,\n> = TOOLS extends undefined\n  ? undefined\n  : [ACTIVE_TOOL_NAMES] extends [NonNullable<ActiveTools<NonNullable<TOOLS>>>]\n    ? Pick<NonNullable<TOOLS>, ACTIVE_TOOL_NAMES[number]>\n    : TOOLS;\n\n/**\n * Filters the tools to only include the active tools.\n * When activeTools is provided, we only include the tools that are in the list.\n *\n * @param tools - The tools to filter.\n * @param activeTools - The active tools to include.\n * @returns The filtered tools.\n */\nexport function filterActiveTools<\n  TOOLS extends ToolSet | undefined,\n  ACTIVE_TOOL_NAMES extends ActiveTools<NonNullable<TOOLS>>,\n>({\n  tools,\n  activeTools,\n}: {\n  tools: TOOLS;\n  activeTools: ACTIVE_TOOL_NAMES;\n}): ActiveToolSubset<TOOLS, ACTIVE_TOOL_NAMES> {\n  if (tools == null || activeTools == null) {\n    return tools as ActiveToolSubset<TOOLS, ACTIVE_TOOL_NAMES>;\n  }\n\n  return Object.fromEntries(\n    Object.entries(tools).filter(([name]) => activeTools.includes(name)),\n  ) as ActiveToolSubset<TOOLS, ACTIVE_TOOL_NAMES>;\n}\n", "import {\n  convertBase64ToUint8Array,\n  convertUint8ArrayToBase64,\n} from '@ai-sdk/provider-utils';\n\n/**\n * A generated file.\n */\nexport interface GeneratedFile {\n  /**\n   * File as a base64 encoded string.\n   */\n  readonly base64: string;\n\n  /**\n   * File as a Uint8Array.\n   */\n  readonly uint8Array: Uint8Array;\n\n  /**\n   * The IANA media type of the file.\n   *\n   * @see https://www.iana.org/assignments/media-types/media-types.xhtml\n   */\n  readonly mediaType: string;\n}\n\n/**\n * @deprecated Use `GeneratedFile` instead. This alias will be removed in v8.\n */\nexport type Experimental_GeneratedImage = GeneratedFile;\n\nexport class DefaultGeneratedFile implements GeneratedFile {\n  private base64Data: string | undefined;\n  private uint8ArrayData: Uint8Array | undefined;\n\n  readonly mediaType: string;\n\n  constructor({\n    data,\n    mediaType,\n  }: {\n    data: string | Uint8Array;\n    mediaType: string;\n  }) {\n    const isUint8Array = data instanceof Uint8Array;\n    this.base64Data = isUint8Array ? undefined : data;\n    this.uint8ArrayData = isUint8Array ? data : undefined;\n    this.mediaType = mediaType;\n  }\n\n  // lazy conversion with caching to avoid unnecessary conversion overhead:\n  get base64() {\n    if (this.base64Data == null) {\n      this.base64Data = convertUint8ArrayToBase64(this.uint8ArrayData!);\n    }\n    return this.base64Data;\n  }\n\n  // lazy conversion with caching to avoid unnecessary conversion overhead:\n  get uint8Array() {\n    if (this.uint8ArrayData == null) {\n      this.uint8ArrayData = convertBase64ToUint8Array(this.base64Data!);\n    }\n    return this.uint8ArrayData;\n  }\n}\n\nexport class DefaultGeneratedFileWithType extends DefaultGeneratedFile {\n  readonly type = 'file';\n\n  constructor(options: { data: string | Uint8Array; mediaType: string }) {\n    super(options);\n  }\n}\n", "import type { FinishReason } from '../types/language-model';\n\nexport function isToolExecutionAllowedFinishReason(\n  finishReason: FinishReason,\n): boolean {\n  return finishReason === 'stop' || finishReason === 'tool-calls';\n}\n", "import {\n  TypeValidationError,\n  type JSONSchema7,\n  type JSONValue,\n  type LanguageModelV4CallOptions,\n} from '@ai-sdk/provider';\nimport {\n  asSchema,\n  resolve,\n  safeParseJSON,\n  safeValidateTypes,\n  type FlexibleSchema,\n} from '@ai-sdk/provider-utils';\nimport { NoObjectGeneratedError } from '../error/no-object-generated-error';\nimport type { FinishReason } from '../types/language-model';\nimport type { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';\nimport type { LanguageModelUsage } from '../types/usage';\nimport type { DeepPartial } from '../util/deep-partial';\nimport { parsePartialJson } from '../util/parse-partial-json';\nimport type { EnrichedStreamPart } from './stream-text';\n\nexport interface Output<OUTPUT = any, PARTIAL = any, ELEMENT = any> {\n  /**\n   * The name of the output mode.\n   */\n  name: string;\n\n  /**\n   * The response format to use for the model.\n   */\n  responseFormat: PromiseLike<LanguageModelV4CallOptions['responseFormat']>;\n\n  /**\n   * Parses the complete output of the model.\n   */\n  parseCompleteOutput(\n    options: { text: string },\n    context: {\n      response: Omit<LanguageModelResponseMetadata, 'messages' | 'body'>;\n      usage: LanguageModelUsage;\n      finishReason: FinishReason;\n    },\n  ): Promise<OUTPUT>;\n\n  /**\n   * Parses the partial output of the model.\n   */\n  parsePartialOutput(options: {\n    text: string;\n  }): Promise<{ partial: PARTIAL } | undefined>;\n\n  /**\n   * Creates a stream transform that emits individual elements as they complete.\n   */\n  createElementStreamTransform():\n    | TransformStream<EnrichedStreamPart<any, PARTIAL>, ELEMENT>\n    | undefined;\n}\n\n/**\n * Output specification for text generation.\n * This is the default output mode that generates plain text.\n *\n * @returns An output specification for generating text.\n */\nexport const text = (): Output<string, string, never> => ({\n  name: 'text',\n  responseFormat: Promise.resolve({ type: 'text' }),\n\n  async parseCompleteOutput({ text }: { text: string }) {\n    return text;\n  },\n\n  async parsePartialOutput({ text }: { text: string }) {\n    return { partial: text };\n  },\n\n  createElementStreamTransform() {\n    return undefined;\n  },\n});\n\n/**\n * Output specification for typed object generation using schemas.\n * When the model generates a text response, it will return an object that matches the schema.\n *\n * @param schema - The schema of the object to generate.\n * @param name - Optional name of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n * @param description - Optional description of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n *\n * @returns An output specification for generating objects with the specified schema.\n */\nexport const object = <OBJECT>({\n  schema: inputSchema,\n  name,\n  description,\n}: {\n  schema: FlexibleSchema<OBJECT>;\n  /**\n   * Optional name of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n   */\n  name?: string;\n  /**\n   * Optional description of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n   */\n  description?: string;\n}): Output<OBJECT, DeepPartial<OBJECT>, never> => {\n  const schema = asSchema(inputSchema);\n\n  return {\n    name: 'object',\n\n    responseFormat: resolve(schema.jsonSchema).then(jsonSchema => ({\n      type: 'json' as const,\n      schema: jsonSchema,\n      ...(name != null && { name }),\n      ...(description != null && { description }),\n    })),\n\n    async parseCompleteOutput(\n      { text }: { text: string },\n      context: {\n        response: LanguageModelResponseMetadata;\n        usage: LanguageModelUsage;\n        finishReason: FinishReason;\n      },\n    ) {\n      const parseResult = await safeParseJSON({ text });\n\n      if (!parseResult.success) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: could not parse the response.',\n          cause: parseResult.error,\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      const validationResult = await safeValidateTypes({\n        value: parseResult.value,\n        schema,\n      });\n\n      if (!validationResult.success) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: response did not match schema.',\n          cause: validationResult.error,\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      return validationResult.value;\n    },\n\n    async parsePartialOutput({ text }: { text: string }) {\n      const result = await parsePartialJson(text);\n\n      switch (result.state) {\n        case 'failed-parse':\n        case 'undefined-input': {\n          return undefined;\n        }\n\n        case 'repaired-parse':\n        case 'successful-parse': {\n          return {\n            // Note: currently no validation of partial results:\n            partial: result.value as DeepPartial<OBJECT>,\n          };\n        }\n      }\n    },\n\n    createElementStreamTransform() {\n      return undefined;\n    },\n  };\n};\n\n/**\n * Output specification for array generation.\n * When the model generates a text response, it will return an array of elements.\n *\n * @param element - The schema of the array elements to generate.\n * @param name - Optional name of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n * @param description - Optional description of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n *\n * @returns An output specification for generating an array of elements.\n */\nexport const array = <ELEMENT>({\n  element: inputElementSchema,\n  name,\n  description,\n}: {\n  element: FlexibleSchema<ELEMENT>;\n  /**\n   * Optional name of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n   */\n  name?: string;\n  /**\n   * Optional description of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n   */\n  description?: string;\n}): Output<Array<ELEMENT>, Array<ELEMENT>, ELEMENT> => {\n  const elementSchema = asSchema(inputElementSchema);\n\n  return {\n    name: 'array',\n\n    // JSON schema that describes an array of elements:\n    responseFormat: resolve(elementSchema.jsonSchema).then(jsonSchema => {\n      // keep root-level definitions available to root-relative references:\n      const {\n        $schema: _$schema,\n        definitions,\n        $defs,\n        ...itemSchema\n      } = jsonSchema as JSONSchema7 & {\n        $defs?: JSONSchema7['definitions'];\n      };\n\n      return {\n        type: 'json' as const,\n        schema: {\n          $schema: 'http://json-schema.org/draft-07/schema#',\n          ...(definitions != null && { definitions }),\n          ...($defs != null && { $defs }),\n          type: 'object',\n          properties: {\n            elements: { type: 'array', items: itemSchema },\n          },\n          required: ['elements'],\n          additionalProperties: false,\n        },\n        ...(name != null && { name }),\n        ...(description != null && { description }),\n      };\n    }),\n\n    async parseCompleteOutput(\n      { text }: { text: string },\n      context: {\n        response: LanguageModelResponseMetadata;\n        usage: LanguageModelUsage;\n        finishReason: FinishReason;\n      },\n    ) {\n      const parseResult = await safeParseJSON({ text });\n\n      if (!parseResult.success) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: could not parse the response.',\n          cause: parseResult.error,\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      const outerValue = parseResult.value;\n\n      if (\n        outerValue == null ||\n        typeof outerValue !== 'object' ||\n        !('elements' in outerValue) ||\n        !Array.isArray(outerValue.elements)\n      ) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: response did not match schema.',\n          cause: new TypeValidationError({\n            value: outerValue,\n            cause: 'response must be an object with an elements array',\n          }),\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      const validatedElements: Array<ELEMENT> = [];\n      for (const element of outerValue.elements) {\n        const validationResult = await safeValidateTypes({\n          value: element,\n          schema: elementSchema,\n        });\n\n        if (!validationResult.success) {\n          throw new NoObjectGeneratedError({\n            message: 'No object generated: response did not match schema.',\n            cause: validationResult.error,\n            text,\n            response: context.response,\n            usage: context.usage,\n            finishReason: context.finishReason,\n          });\n        }\n\n        validatedElements.push(validationResult.value);\n      }\n\n      return validatedElements;\n    },\n\n    async parsePartialOutput({ text }: { text: string }) {\n      const result = await parsePartialJson(text);\n\n      switch (result.state) {\n        case 'failed-parse':\n        case 'undefined-input': {\n          return undefined;\n        }\n\n        case 'repaired-parse':\n        case 'successful-parse': {\n          const outerValue = result.value;\n\n          // no parsable elements array\n          if (\n            outerValue == null ||\n            typeof outerValue !== 'object' ||\n            !('elements' in outerValue) ||\n            !Array.isArray(outerValue.elements)\n          ) {\n            return undefined;\n          }\n\n          const rawElements =\n            result.state === 'repaired-parse' && outerValue.elements.length > 0\n              ? outerValue.elements.slice(0, -1)\n              : outerValue.elements;\n\n          const parsedElements: Array<ELEMENT> = [];\n          for (const rawElement of rawElements) {\n            const validationResult = await safeValidateTypes({\n              value: rawElement,\n              schema: elementSchema,\n            });\n\n            if (validationResult.success) {\n              parsedElements.push(validationResult.value);\n            }\n          }\n\n          return { partial: parsedElements };\n        }\n      }\n    },\n\n    createElementStreamTransform() {\n      let publishedElements = 0;\n\n      return new TransformStream<\n        EnrichedStreamPart<any, Array<ELEMENT>>,\n        ELEMENT\n      >({\n        transform({ partialOutput }, controller) {\n          if (partialOutput != null) {\n            // Only enqueue new elements that haven't been published yet\n            for (\n              ;\n              publishedElements < partialOutput.length;\n              publishedElements++\n            ) {\n              controller.enqueue(partialOutput[publishedElements]);\n            }\n          }\n        },\n      });\n    },\n  };\n};\n\n/**\n * Output specification for choice generation.\n * When the model generates a text response, it will return a one of the choice options.\n *\n * @param options - The available choices.\n * @param name - Optional name of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n * @param description - Optional description of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n *\n * @returns An output specification for generating a choice.\n */\nexport const choice = <CHOICE extends string>({\n  options: choiceOptions,\n  name,\n  description,\n}: {\n  options: Array<CHOICE>;\n  /**\n   * Optional name of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n   */\n  name?: string;\n  /**\n   * Optional description of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n   */\n  description?: string;\n}): Output<CHOICE, CHOICE, never> => {\n  return {\n    name: 'choice',\n\n    // JSON schema that describes an enumeration:\n    responseFormat: Promise.resolve({\n      type: 'json',\n      schema: {\n        $schema: 'http://json-schema.org/draft-07/schema#',\n        type: 'object',\n        properties: {\n          result: { type: 'string', enum: choiceOptions },\n        },\n        required: ['result'],\n        additionalProperties: false,\n      },\n      ...(name != null && { name }),\n      ...(description != null && { description }),\n    } as const),\n\n    async parseCompleteOutput(\n      { text }: { text: string },\n      context: {\n        response: LanguageModelResponseMetadata;\n        usage: LanguageModelUsage;\n        finishReason: FinishReason;\n      },\n    ) {\n      const parseResult = await safeParseJSON({ text });\n\n      if (!parseResult.success) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: could not parse the response.',\n          cause: parseResult.error,\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      const outerValue = parseResult.value;\n\n      if (\n        outerValue == null ||\n        typeof outerValue !== 'object' ||\n        !('result' in outerValue) ||\n        typeof outerValue.result !== 'string' ||\n        !choiceOptions.includes(outerValue.result as any)\n      ) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: response did not match schema.',\n          cause: new TypeValidationError({\n            value: outerValue,\n            cause: 'response must be an object that contains a choice value.',\n          }),\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      return outerValue.result as CHOICE;\n    },\n\n    async parsePartialOutput({ text }: { text: string }) {\n      const result = await parsePartialJson(text);\n\n      switch (result.state) {\n        case 'failed-parse':\n        case 'undefined-input': {\n          return undefined;\n        }\n\n        case 'repaired-parse':\n        case 'successful-parse': {\n          const outerValue = result.value;\n\n          if (\n            outerValue == null ||\n            typeof outerValue !== 'object' ||\n            !('result' in outerValue) ||\n            typeof outerValue.result !== 'string'\n          ) {\n            return undefined;\n          }\n\n          // list of potential matches.\n          const potentialMatches = choiceOptions.filter(choiceOption =>\n            choiceOption.startsWith(outerValue.result as string),\n          );\n\n          if (result.state === 'successful-parse') {\n            // successful parse: exact choice value\n            return potentialMatches.includes(outerValue.result as any)\n              ? { partial: outerValue.result as CHOICE }\n              : undefined;\n          } else {\n            // repaired parse: only return if not ambiguous\n            return potentialMatches.length === 1\n              ? { partial: potentialMatches[0] as CHOICE }\n              : undefined;\n          }\n        }\n      }\n    },\n\n    createElementStreamTransform() {\n      return undefined;\n    },\n  };\n};\n\n/**\n * Output specification for unstructured JSON generation.\n * When the model generates a text response, it will return a JSON object.\n *\n * @param name - Optional name of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n * @param description - Optional description of the output that should be generated. Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n *\n * @returns An output specification for generating JSON.\n */\nexport const json = ({\n  name,\n  description,\n}: {\n  /**\n   * Optional name of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema name.\n   */\n  name?: string;\n  /**\n   * Optional description of the output that should be generated.\n   * Used by some providers for additional LLM guidance, e.g. via tool or schema description.\n   */\n  description?: string;\n} = {}): Output<JSONValue, JSONValue, never> => {\n  return {\n    name: 'json',\n\n    responseFormat: Promise.resolve({\n      type: 'json' as const,\n      ...(name != null && { name }),\n      ...(description != null && { description }),\n    }),\n\n    async parseCompleteOutput(\n      { text }: { text: string },\n      context: {\n        response: LanguageModelResponseMetadata;\n        usage: LanguageModelUsage;\n        finishReason: FinishReason;\n      },\n    ) {\n      const parseResult = await safeParseJSON({ text });\n\n      if (!parseResult.success) {\n        throw new NoObjectGeneratedError({\n          message: 'No object generated: could not parse the response.',\n          cause: parseResult.error,\n          text,\n          response: context.response,\n          usage: context.usage,\n          finishReason: context.finishReason,\n        });\n      }\n\n      return parseResult.value;\n    },\n\n    async parsePartialOutput({ text }: { text: string }) {\n      const result = await parsePartialJson(text);\n\n      switch (result.state) {\n        case 'failed-parse':\n        case 'undefined-input': {\n          return undefined;\n        }\n\n        case 'repaired-parse':\n        case 'successful-parse': {\n          return result.value === undefined\n            ? undefined\n            : { partial: result.value };\n        }\n      }\n    },\n\n    createElementStreamTransform() {\n      return undefined;\n    },\n  };\n};\n", "import type { JSONValue } from '@ai-sdk/provider';\nimport { safeParseJSON } from '@ai-sdk/provider-utils';\nimport { fixJson } from './fix-json';\n\nexport async function parsePartialJson(jsonText: string | undefined): Promise<{\n  value: JSONValue | undefined;\n  state:\n    | 'undefined-input'\n    | 'successful-parse'\n    | 'repaired-parse'\n    | 'failed-parse';\n}> {\n  if (jsonText === undefined) {\n    return { value: undefined, state: 'undefined-input' };\n  }\n\n  let result = await safeParseJSON({ text: jsonText });\n\n  if (result.success) {\n    return { value: result.value, state: 'successful-parse' };\n  }\n\n  result = await safeParseJSON({ text: fixJson(jsonText) });\n\n  if (result.success) {\n    return { value: result.value, state: 'repaired-parse' };\n  }\n\n  return { value: undefined, state: 'failed-parse' };\n}\n", "type State =\n  | 'ROOT'\n  | 'FINISH'\n  | 'INSIDE_STRING'\n  | 'INSIDE_STRING_ESCAPE'\n  | 'INSIDE_STRING_UNICODE_ESCAPE'\n  | 'INSIDE_LITERAL'\n  | 'INSIDE_NUMBER'\n  | 'INSIDE_OBJECT_START'\n  | 'INSIDE_OBJECT_KEY'\n  | 'INSIDE_OBJECT_AFTER_KEY'\n  | 'INSIDE_OBJECT_BEFORE_VALUE'\n  | 'INSIDE_OBJECT_AFTER_VALUE'\n  | 'INSIDE_OBJECT_AFTER_COMMA'\n  | 'INSIDE_ARRAY_START'\n  | 'INSIDE_ARRAY_AFTER_VALUE'\n  | 'INSIDE_ARRAY_AFTER_COMMA';\n\n// Implemented as a scanner with additional fixing\n// that performs a single linear time scan pass over the partial JSON.\n//\n// The states should ideally match relevant states from the JSON spec:\n// https://www.json.org/json-en.html\n//\n// Please note that invalid JSON is not considered/covered, because it\n// is assumed that the resulting JSON will be processed by a standard\n// JSON parser that will detect any invalid JSON.\nexport function fixJson(input: string): string {\n  const stack: State[] = ['ROOT'];\n  let lastValidIndex = -1;\n  let literalStart: number | null = null;\n  let unicodeEscapeDigits = 0;\n\n  function isHexDigit(char: string) {\n    return (\n      (char >= '0' && char <= '9') ||\n      (char >= 'A' && char <= 'F') ||\n      (char >= 'a' && char <= 'f')\n    );\n  }\n\n  function processValueStart(char: string, i: number, swapState: State) {\n    {\n      switch (char) {\n        case '\"': {\n          lastValidIndex = i;\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_STRING');\n          break;\n        }\n\n        case 'f':\n        case 't':\n        case 'n': {\n          lastValidIndex = i;\n          literalStart = i;\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_LITERAL');\n          break;\n        }\n\n        case '-': {\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_NUMBER');\n          break;\n        }\n        case '0':\n        case '1':\n        case '2':\n        case '3':\n        case '4':\n        case '5':\n        case '6':\n        case '7':\n        case '8':\n        case '9': {\n          lastValidIndex = i;\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_NUMBER');\n          break;\n        }\n\n        case '{': {\n          lastValidIndex = i;\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_OBJECT_START');\n          break;\n        }\n\n        case '[': {\n          lastValidIndex = i;\n          stack.pop();\n          stack.push(swapState);\n          stack.push('INSIDE_ARRAY_START');\n          break;\n        }\n      }\n    }\n  }\n\n  function processAfterObjectValue(char: string, i: number) {\n    switch (char) {\n      case ',': {\n        stack.pop();\n        stack.push('INSIDE_OBJECT_AFTER_COMMA');\n        break;\n      }\n      case '}': {\n        lastValidIndex = i;\n        stack.pop();\n        break;\n      }\n    }\n  }\n\n  function processAfterArrayValue(char: string, i: number) {\n    switch (char) {\n      case ',': {\n        stack.pop();\n        stack.push('INSIDE_ARRAY_AFTER_COMMA');\n        break;\n      }\n      case ']': {\n        lastValidIndex = i;\n        stack.pop();\n        break;\n      }\n    }\n  }\n\n  for (let i = 0; i < input.length; i++) {\n    const char = input[i];\n    const currentState = stack[stack.length - 1];\n\n    switch (currentState) {\n      case 'ROOT':\n        processValueStart(char, i, 'FINISH');\n        break;\n\n      case 'INSIDE_OBJECT_START': {\n        switch (char) {\n          case '\"': {\n            stack.pop();\n            stack.push('INSIDE_OBJECT_KEY');\n            break;\n          }\n          case '}': {\n            lastValidIndex = i;\n            stack.pop();\n            break;\n          }\n        }\n        break;\n      }\n\n      case 'INSIDE_OBJECT_AFTER_COMMA': {\n        switch (char) {\n          case '\"': {\n            stack.pop();\n            stack.push('INSIDE_OBJECT_KEY');\n            break;\n          }\n        }\n        break;\n      }\n\n      case 'INSIDE_OBJECT_KEY': {\n        switch (char) {\n          case '\"': {\n            stack.pop();\n            stack.push('INSIDE_OBJECT_AFTER_KEY');\n            break;\n          }\n        }\n        break;\n      }\n\n      case 'INSIDE_OBJECT_AFTER_KEY': {\n        switch (char) {\n          case ':': {\n            stack.pop();\n            stack.push('INSIDE_OBJECT_BEFORE_VALUE');\n\n            break;\n          }\n        }\n        break;\n      }\n\n      case 'INSIDE_OBJECT_BEFORE_VALUE': {\n        processValueStart(char, i, 'INSIDE_OBJECT_AFTER_VALUE');\n        break;\n      }\n\n      case 'INSIDE_OBJECT_AFTER_VALUE': {\n        processAfterObjectValue(char, i);\n        break;\n      }\n\n      case 'INSIDE_STRING': {\n        switch (char) {\n          case '\"': {\n            stack.pop();\n            lastValidIndex = i;\n            break;\n          }\n\n          case '\\\\': {\n            stack.push('INSIDE_STRING_ESCAPE');\n            break;\n          }\n\n          default: {\n            lastValidIndex = i;\n          }\n        }\n\n        break;\n      }\n\n      case 'INSIDE_ARRAY_START': {\n        switch (char) {\n          case ']': {\n            lastValidIndex = i;\n            stack.pop();\n            break;\n          }\n\n          default: {\n            lastValidIndex = i;\n            processValueStart(char, i, 'INSIDE_ARRAY_AFTER_VALUE');\n            break;\n          }\n        }\n        break;\n      }\n\n      case 'INSIDE_ARRAY_AFTER_VALUE': {\n        switch (char) {\n          case ',': {\n            stack.pop();\n            stack.push('INSIDE_ARRAY_AFTER_COMMA');\n            break;\n          }\n\n          case ']': {\n            lastValidIndex = i;\n            stack.pop();\n            break;\n          }\n\n          default: {\n            lastValidIndex = i;\n            break;\n          }\n        }\n\n        break;\n      }\n\n      case 'INSIDE_ARRAY_AFTER_COMMA': {\n        processValueStart(char, i, 'INSIDE_ARRAY_AFTER_VALUE');\n        break;\n      }\n\n      case 'INSIDE_STRING_ESCAPE': {\n        stack.pop();\n\n        if (char === 'u') {\n          unicodeEscapeDigits = 0;\n          stack.push('INSIDE_STRING_UNICODE_ESCAPE');\n        } else {\n          lastValidIndex = i;\n        }\n\n        break;\n      }\n\n      case 'INSIDE_STRING_UNICODE_ESCAPE': {\n        if (isHexDigit(char)) {\n          unicodeEscapeDigits++;\n\n          if (unicodeEscapeDigits === 4) {\n            stack.pop();\n            lastValidIndex = i;\n          }\n        }\n\n        break;\n      }\n\n      case 'INSIDE_NUMBER': {\n        switch (char) {\n          case '0':\n          case '1':\n          case '2':\n          case '3':\n          case '4':\n          case '5':\n          case '6':\n          case '7':\n          case '8':\n          case '9': {\n            lastValidIndex = i;\n            break;\n          }\n\n          case 'e':\n          case 'E':\n          case '-':\n          case '.': {\n            break;\n          }\n\n          case ',': {\n            stack.pop();\n\n            if (stack[stack.length - 1] === 'INSIDE_ARRAY_AFTER_VALUE') {\n              processAfterArrayValue(char, i);\n            }\n\n            if (stack[stack.length - 1] === 'INSIDE_OBJECT_AFTER_VALUE') {\n              processAfterObjectValue(char, i);\n            }\n\n            break;\n          }\n\n          case '}': {\n            stack.pop();\n\n            if (stack[stack.length - 1] === 'INSIDE_OBJECT_AFTER_VALUE') {\n              processAfterObjectValue(char, i);\n            }\n\n            break;\n          }\n\n          case ']': {\n            stack.pop();\n\n            if (stack[stack.length - 1] === 'INSIDE_ARRAY_AFTER_VALUE') {\n              processAfterArrayValue(char, i);\n            }\n\n            break;\n          }\n\n          default: {\n            stack.pop();\n            break;\n          }\n        }\n\n        break;\n      }\n\n      case 'INSIDE_LITERAL': {\n        const partialLiteral = input.substring(literalStart!, i + 1);\n\n        if (\n          !'false'.startsWith(partialLiteral) &&\n          !'true'.startsWith(partialLiteral) &&\n          !'null'.startsWith(partialLiteral)\n        ) {\n          stack.pop();\n\n          if (stack[stack.length - 1] === 'INSIDE_OBJECT_AFTER_VALUE') {\n            processAfterObjectValue(char, i);\n          } else if (stack[stack.length - 1] === 'INSIDE_ARRAY_AFTER_VALUE') {\n            processAfterArrayValue(char, i);\n          }\n        } else {\n          lastValidIndex = i;\n        }\n\n        break;\n      }\n    }\n  }\n\n  let result = input.slice(0, lastValidIndex + 1);\n\n  for (let i = stack.length - 1; i >= 0; i--) {\n    const state = stack[i];\n\n    switch (state) {\n      case 'INSIDE_STRING': {\n        result += '\"';\n        break;\n      }\n\n      case 'INSIDE_OBJECT_KEY':\n      case 'INSIDE_OBJECT_AFTER_KEY':\n      case 'INSIDE_OBJECT_AFTER_COMMA':\n      case 'INSIDE_OBJECT_START':\n      case 'INSIDE_OBJECT_BEFORE_VALUE':\n      case 'INSIDE_OBJECT_AFTER_VALUE': {\n        result += '}';\n        break;\n      }\n\n      case 'INSIDE_ARRAY_START':\n      case 'INSIDE_ARRAY_AFTER_COMMA':\n      case 'INSIDE_ARRAY_AFTER_VALUE': {\n        result += ']';\n        break;\n      }\n\n      case 'INSIDE_LITERAL': {\n        const partialLiteral = input.substring(literalStart!, input.length);\n\n        if ('true'.startsWith(partialLiteral)) {\n          result += 'true'.slice(partialLiteral.length);\n        } else if ('false'.startsWith(partialLiteral)) {\n          result += 'false'.slice(partialLiteral.length);\n        } else if ('null'.startsWith(partialLiteral)) {\n          result += 'null'.slice(partialLiteral.length);\n        }\n      }\n    }\n  }\n\n  return result;\n}\n", "import type { LanguageModelV4ToolCall } from '@ai-sdk/provider';\nimport {\n  asSchema,\n  safeParseJSON,\n  safeValidateTypes,\n  type InferToolInput,\n  type ModelMessage,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { InvalidToolInputError } from '../error/invalid-tool-input-error';\nimport { NoSuchToolError } from '../error/no-such-tool-error';\nimport { ToolCallRepairError } from '../error/tool-call-repair-error';\nimport type { Instructions } from '../prompt';\nimport { getOwn } from '../util/get-own';\nimport type { DynamicToolCall, TypedToolCall } from './tool-call';\nimport type { ToolCallRepairFunction } from './tool-call-repair-function';\nimport type { ToolInputRefinement } from './tool-input-refinement';\n\nexport async function parseToolCall<TOOLS extends ToolSet>({\n  toolCall,\n  tools,\n  repairToolCall,\n  refineToolInput,\n  messages,\n  instructions,\n}: {\n  toolCall: LanguageModelV4ToolCall;\n  tools: TOOLS | undefined;\n  repairToolCall: ToolCallRepairFunction<TOOLS> | undefined;\n  refineToolInput?: ToolInputRefinement<TOOLS> | undefined;\n  instructions: Instructions | undefined;\n  messages: ModelMessage[];\n}): Promise<TypedToolCall<TOOLS>> {\n  try {\n    if (tools == null) {\n      // provider-executed dynamic tools are not part of our list of tools:\n      if (toolCall.providerExecuted && toolCall.dynamic) {\n        return await refineParsedToolCallInput({\n          toolCall: await parseProviderExecutedDynamicToolCall(toolCall),\n          refineToolInput,\n        });\n      }\n\n      throw new NoSuchToolError({ toolName: toolCall.toolName });\n    }\n\n    try {\n      return await refineParsedToolCallInput({\n        toolCall: await doParseToolCall({ toolCall, tools }),\n        refineToolInput,\n      });\n    } catch (error) {\n      if (\n        repairToolCall == null ||\n        !(\n          NoSuchToolError.isInstance(error) ||\n          InvalidToolInputError.isInstance(error)\n        )\n      ) {\n        throw error;\n      }\n\n      let repairedToolCall: LanguageModelV4ToolCall | null = null;\n\n      try {\n        repairedToolCall = await repairToolCall({\n          toolCall,\n          tools,\n          inputSchema: async ({ toolName }) => {\n            const inputSchema = getOwn(tools, toolName)?.inputSchema;\n            return await asSchema(inputSchema).jsonSchema;\n          },\n          instructions,\n          system: instructions,\n          messages,\n          error,\n        });\n      } catch (repairError) {\n        throw new ToolCallRepairError({\n          cause: repairError,\n          originalError: error,\n        });\n      }\n\n      // no repaired tool call returned\n      if (repairedToolCall == null) {\n        throw error;\n      }\n\n      return await refineParsedToolCallInput({\n        toolCall: await doParseToolCall({ toolCall: repairedToolCall, tools }),\n        refineToolInput,\n      });\n    }\n  } catch (error) {\n    // use parsed input when possible\n    const parsedInput = await safeParseJSON({ text: toolCall.input });\n    const input = parsedInput.success ? parsedInput.value : toolCall.input;\n    const tool = getOwn(tools, toolCall.toolName);\n\n    // TODO AI SDK 6: special invalid tool call parts\n    return {\n      type: 'tool-call',\n      toolCallId: toolCall.toolCallId,\n      toolName: toolCall.toolName,\n      input,\n      dynamic: true,\n      invalid: true,\n      error,\n      title: tool?.title,\n      providerExecuted: toolCall.providerExecuted,\n      providerMetadata: toolCall.providerMetadata,\n      ...(tool?.metadata != null ? { toolMetadata: tool.metadata } : {}),\n    };\n  }\n}\n\nasync function refineParsedToolCallInput<TOOLS extends ToolSet>({\n  toolCall,\n  refineToolInput,\n}: {\n  toolCall: TypedToolCall<TOOLS>;\n  refineToolInput: ToolInputRefinement<TOOLS> | undefined;\n}): Promise<TypedToolCall<TOOLS>> {\n  const refine = getOwn(refineToolInput, toolCall.toolName);\n\n  if (refine == null) {\n    return toolCall;\n  }\n\n  return {\n    ...toolCall,\n    input: await refine(toolCall.input as InferToolInput<TOOLS[keyof TOOLS]>),\n  } as TypedToolCall<TOOLS>;\n}\n\nasync function parseProviderExecutedDynamicToolCall(\n  toolCall: LanguageModelV4ToolCall,\n): Promise<DynamicToolCall> {\n  const parseResult =\n    toolCall.input.trim() === ''\n      ? { success: true as const, value: {} }\n      : await safeParseJSON({ text: toolCall.input });\n\n  if (parseResult.success === false) {\n    throw new InvalidToolInputError({\n      toolName: toolCall.toolName,\n      toolInput: toolCall.input,\n      cause: parseResult.error,\n    });\n  }\n\n  return {\n    type: 'tool-call',\n    toolCallId: toolCall.toolCallId,\n    toolName: toolCall.toolName,\n    input: parseResult.value,\n    providerExecuted: true,\n    dynamic: true,\n    providerMetadata: toolCall.providerMetadata,\n  };\n}\n\nasync function doParseToolCall<TOOLS extends ToolSet>({\n  toolCall,\n  tools,\n}: {\n  toolCall: LanguageModelV4ToolCall;\n  tools: TOOLS;\n}): Promise<TypedToolCall<TOOLS>> {\n  const toolName = toolCall.toolName as keyof TOOLS & string;\n\n  const tool = getOwn(tools, toolName);\n\n  if (tool == null) {\n    // provider-executed dynamic tools are not part of our list of tools:\n    if (toolCall.providerExecuted && toolCall.dynamic) {\n      return await parseProviderExecutedDynamicToolCall(toolCall);\n    }\n\n    throw new NoSuchToolError({\n      toolName: toolCall.toolName,\n      availableTools: Object.keys(tools),\n    });\n  }\n\n  const schema = asSchema(tool.inputSchema);\n\n  // when the tool call has no arguments, we try passing an empty object to the schema\n  // (many LLMs generate empty strings for tool calls with no arguments)\n  const parseResult =\n    toolCall.input.trim() === ''\n      ? await safeValidateTypes({ value: {}, schema })\n      : await safeParseJSON({ text: toolCall.input, schema });\n\n  if (parseResult.success === false) {\n    throw new InvalidToolInputError({\n      toolName,\n      toolInput: toolCall.input,\n      cause: parseResult.error,\n    });\n  }\n\n  return tool.type === 'dynamic'\n    ? {\n        type: 'tool-call',\n        toolCallId: toolCall.toolCallId,\n        toolName: toolCall.toolName,\n        input: parseResult.value,\n        providerExecuted: toolCall.providerExecuted,\n        providerMetadata: toolCall.providerMetadata,\n        ...(tool.metadata != null ? { toolMetadata: tool.metadata } : {}),\n        dynamic: true,\n        title: tool.title,\n      }\n    : {\n        type: 'tool-call',\n        toolCallId: toolCall.toolCallId,\n        toolName,\n        input: parseResult.value,\n        providerExecuted: toolCall.providerExecuted,\n        providerMetadata: toolCall.providerMetadata,\n        ...(tool.metadata != null ? { toolMetadata: tool.metadata } : {}),\n        title: tool.title,\n      };\n}\n", "import type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\n\n/**\n * Resolves model call settings for a single step.\n *\n * Undefined step settings intentionally fall back to the outer call settings,\n * while defined falsy values such as `temperature: 0` and `seed: 0` are kept.\n */\nexport function prepareStepCallSettings({\n  callSettings,\n  stepSettings,\n}: {\n  callSettings: LanguageModelCallOptions;\n  stepSettings: LanguageModelCallOptions | undefined;\n}): LanguageModelCallOptions {\n  return prepareLanguageModelCallOptions({\n    maxOutputTokens:\n      stepSettings?.maxOutputTokens ?? callSettings.maxOutputTokens,\n    temperature: stepSettings?.temperature ?? callSettings.temperature,\n    topP: stepSettings?.topP ?? callSettings.topP,\n    topK: stepSettings?.topK ?? callSettings.topK,\n    presencePenalty:\n      stepSettings?.presencePenalty ?? callSettings.presencePenalty,\n    frequencyPenalty:\n      stepSettings?.frequencyPenalty ?? callSettings.frequencyPenalty,\n    stopSequences: stepSettings?.stopSequences ?? callSettings.stopSequences,\n    seed: stepSettings?.seed ?? callSettings.seed,\n    reasoning: stepSettings?.reasoning ?? callSettings.reasoning,\n  });\n}\n", "import type {\n  DataContent,\n  ReasoningFilePart,\n  ReasoningPart,\n} from '@ai-sdk/provider-utils';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport { DefaultGeneratedFile, type GeneratedFile } from './generated-file';\n\nfunction unwrapReasoningFileData(\n  data: ReasoningFilePart['data'],\n): DataContent | URL {\n  if (typeof data === 'object' && data !== null && 'type' in data) {\n    return data.type === 'data' ? data.data : data.url;\n  }\n  return data;\n}\n\n/**\n * Reasoning output of a text generation. It contains a reasoning.\n */\nexport interface ReasoningOutput {\n  type: 'reasoning';\n\n  /**\n   * The reasoning text.\n   */\n  text: string;\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerMetadata?: ProviderMetadata;\n}\n\n/**\n * Reasoning file output of a text generation.\n * It contains a file generated as part of reasoning.\n */\nexport interface ReasoningFileOutput {\n  type: 'reasoning-file';\n\n  /**\n   * The generated file.\n   */\n  file: GeneratedFile;\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerMetadata?: ProviderMetadata;\n}\n\nexport function convertFromReasoningOutputs(\n  parts: Array<ReasoningOutput | ReasoningFileOutput>,\n): Array<ReasoningPart | ReasoningFilePart> {\n  return parts.map(part => {\n    if (part.type === 'reasoning') {\n      return {\n        type: 'reasoning' as const,\n        text: part.text,\n        ...(part.providerMetadata != null\n          ? { providerOptions: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    return {\n      type: 'reasoning-file' as const,\n      data: part.file.base64,\n      mediaType: part.file.mediaType,\n      ...(part.providerMetadata != null\n        ? { providerOptions: part.providerMetadata }\n        : {}),\n    };\n  });\n}\n\nexport function convertToReasoningOutputs(\n  parts: Array<ReasoningPart | ReasoningFilePart>,\n): Array<ReasoningOutput | ReasoningFileOutput> {\n  return parts.map(part => {\n    if (part.type === 'reasoning') {\n      return {\n        type: 'reasoning' as const,\n        text: part.text,\n        ...(part.providerOptions != null\n          ? { providerMetadata: part.providerOptions as ProviderMetadata }\n          : {}),\n      };\n    }\n\n    const rawData = unwrapReasoningFileData(part.data);\n\n    const fileData: string | Uint8Array =\n      rawData instanceof ArrayBuffer\n        ? new Uint8Array(rawData)\n        : rawData instanceof URL\n          ? rawData.toString()\n          : (rawData as string | Uint8Array);\n\n    return {\n      type: 'reasoning-file' as const,\n      file: new DefaultGeneratedFile({\n        data: fileData,\n        mediaType: part.mediaType,\n      }),\n      ...(part.providerOptions != null\n        ? { providerMetadata: part.providerOptions as ProviderMetadata }\n        : {}),\n    };\n  });\n}\n", "import type {\n  Context,\n  InferToolInput,\n  InferToolSetContext,\n  ModelMessage,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type {\n  ToolApprovalConfiguration,\n  ToolApprovalStatus,\n} from './tool-approval-configuration';\nimport { getOwn } from '../util/get-own';\nimport type { TypedToolCall } from './tool-call';\nimport { validateToolContext } from './validate-tool-context';\n\n/**\n * Resolves the approval state for a tool call by checking user-supplied and tool-defined\n * approval settings, and normalizes the result to the object status shape.\n * User-defined approval settings take precedence over tool-defined settings.\n * If no approval settings are provided, the tool call does not require approval.\n */\nexport async function resolveToolApproval<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context | unknown | never,\n>({\n  tools,\n  toolCall,\n  toolApproval,\n  messages,\n  toolsContext,\n  runtimeContext,\n}: {\n  /**\n   * Tools that are available for the model to call.\n   */\n  tools: TOOLS | undefined;\n\n  /**\n   * Valid tool call.\n   */\n  toolCall: TypedToolCall<TOOLS>;\n\n  /**\n   * User-defined approval configuration for tools.\n   *\n   * This configuration takes precedence over tool-defined approval settings.\n   */\n  toolApproval: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT> | undefined;\n\n  /**\n   * Messages that were sent to the language model to initiate the response that contained the tool call.\n   */\n  messages: ModelMessage[];\n\n  /**\n   * Tool context as defined by the tool's context schema.\n   */\n  toolsContext: InferToolSetContext<TOOLS>;\n\n  /**\n   * User-defined runtime context (same as `runtimeContext` on `generateText` / `streamText`).\n   */\n  runtimeContext: RUNTIME_CONTEXT;\n}): Promise<Exclude<ToolApprovalStatus, string | undefined>> {\n  // user-defined generic tool approval\n  if (toolApproval != null && typeof toolApproval === 'function') {\n    return normalizeToolApprovalStatus(\n      await toolApproval({\n        toolCall,\n        tools,\n        toolsContext,\n        messages,\n        runtimeContext,\n      }),\n    );\n  }\n\n  const toolName = toolCall.toolName;\n  // `toolName` can be client-controlled, so look tools/approvals up by own\n  // property only: a name that matches an inherited object property (e.g.\n  // `constructor`, `toString`) resolves to \"no such tool\"/\"unconfigured\"\n  // instead of a value on `Object.prototype`.\n  const tool = getOwn(tools, toolName);\n\n  // assume that the input has been validated and matches the tool's input schema\n  const input = toolCall.input as InferToolInput<TOOLS[keyof TOOLS]>;\n\n  // user-defined per-tool approval\n  const userDefinedToolApprovalStatus = getOwn(toolApproval, toolName);\n  if (userDefinedToolApprovalStatus != null) {\n    const approvalStatus: ToolApprovalStatus | undefined =\n      typeof userDefinedToolApprovalStatus === 'function'\n        ? await userDefinedToolApprovalStatus(input, {\n            toolCallId: toolCall.toolCallId,\n            messages,\n            toolContext: await validateToolContext({\n              toolName,\n              context: getOwn(toolsContext, toolName),\n              contextSchema: tool?.contextSchema,\n            }),\n            runtimeContext,\n          })\n        : userDefinedToolApprovalStatus;\n\n    return normalizeToolApprovalStatus(approvalStatus);\n  }\n\n  // tool-defined approval\n  if (tool?.needsApproval == null) {\n    return { type: 'not-applicable' };\n  }\n\n  const needsApproval =\n    typeof tool.needsApproval === 'function'\n      ? await tool.needsApproval(input, {\n          toolCallId: toolCall.toolCallId,\n          messages,\n          context: await validateToolContext({\n            toolName,\n            context: getOwn(toolsContext, toolName),\n            contextSchema: tool?.contextSchema,\n          }),\n        })\n      : tool.needsApproval;\n\n  return needsApproval ? { type: 'user-approval' } : { type: 'not-applicable' };\n}\n\nfunction normalizeToolApprovalStatus(\n  status: ToolApprovalStatus | undefined,\n): Exclude<ToolApprovalStatus, string | undefined> {\n  return status === undefined\n    ? { type: 'not-applicable' }\n    : typeof status === 'string'\n      ? { type: status }\n      : status;\n}\n", "import { asArray } from '@ai-sdk/provider-utils';\nimport type { Callback } from '../util/callback';\nimport { mergeCallbacks } from '../util/merge-callbacks';\nimport type {\n  InferTelemetryEvent,\n  Telemetry,\n  TelemetryDispatcher,\n} from './telemetry';\nimport {\n  openTelemetryChannelSpanContext,\n  runWithTracingChannelSpan,\n} from './tracing-channel-publisher';\nimport { getGlobalTelemetryIntegrations } from './telemetry-registry';\nimport type { TelemetryOptions } from './telemetry-options';\n\n/**\n * The subset of `TelemetryDispatcher` keys whose values are Callback callbacks.\n * This excludes dispatcher-only helpers and non-Callback properties such as\n * `executeLanguageModelCall` and `executeTool`.\n */\ntype TelemetryCallbackKey = Exclude<\n  keyof {\n    [K in keyof TelemetryDispatcher as TelemetryDispatcher[K] extends\n      | Callback<any>\n      | undefined\n      ? K\n      : never]: true;\n  },\n  'runInTracingChannelSpan' | 'startTracingChannelContext'\n>;\n\n/**\n * Resolves the public  event type accepted by a telemetry callback key.\n */\ntype TelemetryEvent<K extends TelemetryCallbackKey> =\n  TelemetryDispatcher[K] extends Callback<infer EVENT> | undefined\n    ? EVENT\n    : never;\n\nfunction augmentEvent<EVENT>(\n  event: EVENT,\n  telemetry: Pick<\n    TelemetryOptions,\n    'recordInputs' | 'recordOutputs' | 'functionId'\n  >,\n): InferTelemetryEvent<EVENT> {\n  return Object.assign(\n    Object.create(Object.getPrototypeOf(event)),\n    event,\n    telemetry,\n  );\n}\n\n/**\n * Creates a telemetry dispatcher that sends telemetry events\n * to the resolved set of integrations.\n *\n * When per-call integrations are provided, they take precedence over the globally\n * registered integrations for that call. When no per-call integrations are\n * provided, the globally registered integrations are used.\n *\n * @param args.telemetry - Optional per-call telemetry settings and integrations.\n *\n * @returns A telemetry dispatcher that fans out lifecycle events to the\n * resolved set of integrations.\n */\nexport function createTelemetryDispatcher({\n  telemetry,\n}: {\n  telemetry?: TelemetryOptions;\n  // operationId: string;\n}): TelemetryDispatcher {\n  // When telemetry is explicitly disabled, return a dispatcher\n  // that performs no work and lets tool execution pass through unwrapped.\n  if (telemetry?.isEnabled === false) {\n    return {};\n  }\n\n  const localIntegrations = telemetry?.integrations;\n  const integrations: Array<Telemetry> =\n    localIntegrations != null\n      ? asArray(localIntegrations)\n      : getGlobalTelemetryIntegrations();\n\n  const telemetryMetadata = {\n    recordInputs: telemetry?.recordInputs,\n    recordOutputs: telemetry?.recordOutputs,\n    functionId: telemetry?.functionId,\n  };\n\n  const mergeTelemetryCallback = <KEY extends TelemetryCallbackKey>(\n    key: KEY,\n  ): Callback<TelemetryEvent<KEY>> => {\n    const integrationCallbacks = (\n      integrations\n        .map(integration => integration[key]?.bind(integration))\n        .filter(Boolean) as Array<\n        Callback<InferTelemetryEvent<TelemetryEvent<KEY>>>\n      >\n    ).map(\n      callback =>\n        ((event: TelemetryEvent<KEY>) =>\n          callback(augmentEvent(event, telemetryMetadata))) as Callback<\n          TelemetryEvent<KEY>\n        >,\n    );\n\n    const mergedIntegrationCallback = mergeCallbacks(...integrationCallbacks);\n\n    return async (event: TelemetryEvent<KEY>) => {\n      await mergedIntegrationCallback(event);\n    };\n  };\n\n  const executeLanguageModelCallWrappers = integrations\n    .map(integration => integration.executeLanguageModelCall?.bind(integration))\n    .filter(Boolean) as Array<\n    NonNullable<Telemetry['executeLanguageModelCall']>\n  >;\n\n  const executeToolWrappers = integrations\n    .map(integration => integration.executeTool?.bind(integration))\n    .filter(Boolean) as Array<NonNullable<Telemetry['executeTool']>>;\n\n  return {\n    runInTracingChannelSpan: async ({ type, event, execute }) =>\n      await runWithTracingChannelSpan(\n        {\n          type,\n          event: augmentEvent(event, telemetryMetadata),\n        },\n        execute,\n      ),\n\n    startTracingChannelContext: ({ type, event, completion }) =>\n      openTelemetryChannelSpanContext({\n        message: {\n          type,\n          event: augmentEvent(event, telemetryMetadata),\n        },\n        completion,\n      }),\n\n    onStart: mergeTelemetryCallback('onStart'),\n    onStepStart: mergeTelemetryCallback('onStepStart'),\n    onLanguageModelCallStart: mergeTelemetryCallback(\n      'onLanguageModelCallStart',\n    ),\n    onLanguageModelCallEnd: mergeTelemetryCallback('onLanguageModelCallEnd'),\n    onToolExecutionStart: mergeTelemetryCallback('onToolExecutionStart'),\n    onToolExecutionEnd: mergeTelemetryCallback('onToolExecutionEnd'),\n    // Fan out step-end events to both the new `onStepEnd` callback and the\n    // deprecated `onStepFinish` callback so integrations that still implement\n    // only `onStepFinish` keep receiving step-end events during the deprecation\n    // window.\n    onStepEnd: mergeCallbacks(\n      mergeTelemetryCallback('onStepEnd'),\n      mergeTelemetryCallback('onStepFinish'),\n    ),\n    onObjectStepStart: mergeTelemetryCallback('onObjectStepStart'),\n    onObjectStepEnd: mergeTelemetryCallback('onObjectStepEnd'),\n    onEmbedStart: mergeTelemetryCallback('onEmbedStart'),\n    onEmbedEnd: mergeTelemetryCallback('onEmbedEnd'),\n    onRerankStart: mergeTelemetryCallback('onRerankStart'),\n    onRerankEnd: mergeTelemetryCallback('onRerankEnd'),\n    onEnd: mergeTelemetryCallback('onEnd'),\n    onAbort: mergeTelemetryCallback('onAbort'),\n    onError: mergeTelemetryCallback('onError'),\n\n    /**\n     * Runs provider calls inside integration-specific context so\n     * auto-instrumented provider requests can be associated with model work.\n     */\n    executeLanguageModelCall: async ({ execute, ...event }) => {\n      const augmentedEvent = augmentEvent(event, telemetryMetadata);\n\n      let wrappedExecute = execute;\n      for (const executeWrapper of executeLanguageModelCallWrappers) {\n        const innerExecute = wrappedExecute;\n        wrappedExecute = () =>\n          executeWrapper({ ...augmentedEvent, execute: innerExecute });\n      }\n\n      return await runWithTracingChannelSpan(\n        { type: 'languageModelCall', event: augmentedEvent },\n        wrappedExecute,\n      );\n    },\n\n    /**\n     * Composes all `executeTool` wrappers around the original tool execution.\n     * Each wrapper receives an `execute` function that calls the next wrapper in\n     * the chain, so integrations can establish nested telemetry context before\n     * delegating to the underlying tool.\n     */\n    executeTool: async ({ execute, ...event }) => {\n      const augmentedEvent = augmentEvent(event, telemetryMetadata);\n\n      let wrappedExecute = execute;\n      for (const executeWrapper of executeToolWrappers) {\n        const innerExecute = wrappedExecute;\n        wrappedExecute = () =>\n          executeWrapper({ ...augmentedEvent, execute: innerExecute });\n      }\n\n      return await wrappedExecute();\n    },\n  };\n}\n", "import type { Callback } from '../util/callback';\n\n/**\n * Creates an async callback that invokes the provided callbacks in parallel.\n * Undefined callbacks are skipped, and thrown or rejected callback errors are\n * ignored.\n *\n * @param callbacks The callbacks to invoke for each event.\n * @returns A callback that forwards each event to all callbacks and waits for\n * them to settle.\n */\nexport function mergeCallbacks<EVENT>(\n  ...callbacks: Array<Callback<EVENT> | undefined>\n): Callback<EVENT> {\n  return async (event: EVENT) => {\n    await Promise.allSettled(\n      callbacks.map(async callback => {\n        await callback?.(event);\n      }),\n    );\n  };\n}\n", "export const AI_SDK_TELEMETRY_TRACING_CHANNEL = 'ai:telemetry';\n\nexport type TelemetryTracingEventType =\n  | 'generateText'\n  | 'streamText'\n  | 'step'\n  | 'languageModelCall'\n  | 'executeTool'\n  | 'embed'\n  | 'embedMany'\n  | 'rerank';\n\nexport type TelemetryTracingChannelMessage<EVENT = unknown> = {\n  readonly type: TelemetryTracingEventType;\n  readonly event: EVENT;\n};\n", "export function isNodeRuntime(): boolean {\n  return typeof process !== 'undefined' && process.release?.name === 'node';\n}\n", "import type * as diagnosticsChannelModule from 'node:diagnostics_channel';\nimport type * as asyncHooksModule from 'node:async_hooks';\nimport {\n  AI_SDK_TELEMETRY_TRACING_CHANNEL,\n  type TelemetryTracingChannelMessage,\n} from './tracing-channel';\nimport { isNodeRuntime } from '../util/is-node-runtime';\n\ntype DiagnosticsChannel = typeof diagnosticsChannelModule;\ntype AsyncHooks = typeof asyncHooksModule;\ntype AsyncResource = asyncHooksModule.AsyncResource;\n\nexport type TracingChannelContext = {\n  run<T>(execute: () => T): T;\n};\n\nlet diagnosticsChannelPromise:\n  | Promise<DiagnosticsChannel | undefined>\n  | undefined;\n\n/**\n * Loads Node's diagnostics channel module only when the current runtime supports\n * it. Unsupported runtimes and failed imports intentionally resolve to\n * undefined so telemetry tracing never crashes user code.\n */\nasync function loadDiagnosticsChannel(): Promise<\n  DiagnosticsChannel | undefined\n> {\n  if (!isNodeRuntime()) {\n    return undefined;\n  }\n\n  if (diagnosticsChannelPromise == null) {\n    diagnosticsChannelPromise = Promise.resolve(\n      loadBuiltinModule<DiagnosticsChannel>('node:diagnostics_channel'),\n    );\n  }\n\n  return diagnosticsChannelPromise;\n}\n\nfunction loadBuiltinModule<T>(id: string): T | undefined {\n  const processWithBuiltins = globalThis.process as\n    | {\n        getBuiltinModule?: (id: string) => unknown;\n      }\n    | undefined;\n\n  try {\n    return processWithBuiltins?.getBuiltinModule?.(id) as T | undefined;\n  } catch {\n    return undefined;\n  }\n}\n\n/**\n * Runs an async operation inside the AI SDK telemetry tracing channel when\n * tracing subscribers may exist. Without Node diagnostics-channel support,\n * without tracingChannel support, or when the runtime reports no subscribers,\n * this is a direct pass-through.\n *\n * The execution bookkeeping preserves the original model/tool result or error\n * if tracing itself throws, and prevents falling back by calling `execute` a\n * second time.\n */\nexport async function runWithTracingChannelSpan<T>(\n  message: TelemetryTracingChannelMessage,\n  execute: () => PromiseLike<T>,\n): Promise<T> {\n  const diagnosticsChannel = await loadDiagnosticsChannel();\n  const tracingChannel = diagnosticsChannel?.tracingChannel?.(\n    AI_SDK_TELEMETRY_TRACING_CHANNEL,\n  );\n\n  if (tracingChannel == null || tracingChannel.hasSubscribers === false) {\n    return await execute();\n  }\n\n  let executePromise: Promise<T> | undefined;\n  let executionResult: T | undefined;\n  let executionError: unknown;\n  let hasExecutionResult = false;\n  let hasExecutionError = false;\n\n  const tracedExecute = () => {\n    try {\n      executePromise = Promise.resolve(execute());\n    } catch (error) {\n      executePromise = Promise.reject(error);\n    }\n\n    executePromise = executePromise.then(\n      result => {\n        executionResult = result;\n        hasExecutionResult = true;\n        return result;\n      },\n      error => {\n        executionError = error;\n        hasExecutionError = true;\n        throw error;\n      },\n    );\n\n    return executePromise;\n  };\n\n  try {\n    return await tracingChannel.tracePromise(tracedExecute, message);\n  } catch {\n    if (hasExecutionError) {\n      throw executionError;\n    }\n\n    if (hasExecutionResult) {\n      return executionResult as T;\n    }\n\n    if (executePromise != null) {\n      return await executePromise;\n    }\n\n    return await execute();\n  }\n}\n\n/**\n * Opens a long-lived tracing-channel span context and returns a runner that can\n * re-enter that context later without changing stream setup timing.\n */\nexport function openTelemetryChannelSpanContext({\n  message,\n  completion,\n}: {\n  message: TelemetryTracingChannelMessage;\n  completion: PromiseLike<unknown>;\n}): TracingChannelContext | undefined {\n  if (!isNodeRuntime()) {\n    return undefined;\n  }\n\n  const diagnosticsChannel = loadBuiltinModule<DiagnosticsChannel>(\n    'node:diagnostics_channel',\n  );\n  const asyncHooks = loadBuiltinModule<AsyncHooks>('node:async_hooks');\n  const tracingChannel = diagnosticsChannel?.tracingChannel?.(\n    AI_SDK_TELEMETRY_TRACING_CHANNEL,\n  );\n\n  if (\n    tracingChannel == null ||\n    tracingChannel.hasSubscribers === false ||\n    asyncHooks == null\n  ) {\n    Promise.resolve(completion).catch(() => {});\n    return undefined;\n  }\n\n  const context = message as TelemetryTracingChannelMessage & {\n    result?: unknown;\n    error?: unknown;\n  };\n  let asyncResource: AsyncResource | undefined;\n  let asyncEndPublished = false;\n\n  const safePublish = (publish: () => void) => {\n    try {\n      publish();\n    } catch {\n      // Diagnostics subscribers should never affect SDK stream behavior.\n    }\n  };\n\n  const publishAsyncEnd = ({\n    result,\n    error,\n  }: {\n    result?: unknown;\n    error?: unknown;\n  }) => {\n    if (asyncEndPublished) {\n      return;\n    }\n\n    asyncEndPublished = true;\n\n    if (error !== undefined) {\n      context.error = error;\n      safePublish(() => tracingChannel.error.publish(context));\n    }\n\n    if (result !== undefined) {\n      context.result = result;\n    }\n\n    safePublish(() => tracingChannel.asyncEnd.publish(context));\n  };\n\n  safePublish(() => {\n    tracingChannel.start.runStores(context, () => {\n      asyncResource = new asyncHooks.AsyncResource('ai.telemetry');\n    });\n  });\n  safePublish(() => tracingChannel.end.publish(context));\n\n  void Promise.resolve(completion).then(\n    result => publishAsyncEnd({ result }),\n    error => publishAsyncEnd({ error }),\n  );\n\n  return {\n    run: execute =>\n      asyncResource == null\n        ? execute()\n        : asyncResource.runInAsyncScope(execute),\n  };\n}\n", "import type { Telemetry } from './telemetry';\n\n/**\n * Registers one or more telemetry integrations globally.\n */\nexport function registerTelemetry(...integrations: Telemetry[]): void {\n  if (!globalThis.AI_SDK_TELEMETRY_INTEGRATIONS) {\n    globalThis.AI_SDK_TELEMETRY_INTEGRATIONS = [];\n  }\n  globalThis.AI_SDK_TELEMETRY_INTEGRATIONS.push(...integrations);\n}\n\nexport function getGlobalTelemetryIntegrations(): Telemetry[] {\n  return globalThis.AI_SDK_TELEMETRY_INTEGRATIONS ?? [];\n}\n", "import type { ReasoningPart, ReasoningFilePart } from '@ai-sdk/provider-utils';\n\nexport function asReasoningText(\n  reasoningParts: Array<ReasoningPart | ReasoningFilePart>,\n): string | undefined {\n  const reasoningText = reasoningParts\n    .map(part => ('text' in part ? part.text : ''))\n    .join('');\n  return reasoningText.length > 0 ? reasoningText : undefined;\n}\n", "import type {\n  Context,\n  InferToolSetContext,\n  ReasoningFilePart,\n  ReasoningPart,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type {\n  CallWarning,\n  FinishReason,\n  LanguageModelRequestMetadata,\n  LanguageModelResponseMetadata,\n  ProviderMetadata,\n} from '../types';\nimport type { Source } from '../types/language-model';\nimport type { LanguageModelUsage } from '../types/usage';\nimport type { ContentPart } from './content-part';\nimport type { GeneratedFile } from './generated-file';\nimport { asReasoningText } from './reasoning';\nimport {\n  convertFromReasoningOutputs,\n  type ReasoningFileOutput,\n  type ReasoningOutput,\n} from './reasoning-output';\nimport type {\n  DynamicToolCall,\n  StaticToolCall,\n  TypedToolCall,\n} from './tool-call';\nimport type {\n  DynamicToolResult,\n  StaticToolResult,\n  TypedToolResult,\n} from './tool-result';\n\n/**\n * Timing statistics for the gaps between generated output chunks.\n */\nexport type OutputChunkTimingStats = {\n  /** Shortest observed time between output chunks in milliseconds. */\n  readonly min: number;\n\n  /** 10th percentile time between output chunks in milliseconds. */\n  readonly p10: number;\n\n  /** Median time between output chunks in milliseconds. */\n  readonly median: number;\n\n  /** Average time between output chunks in milliseconds. */\n  readonly avg: number;\n\n  /** 90th percentile time between output chunks in milliseconds. */\n  readonly p90: number;\n\n  /** Longest observed time between output chunks in milliseconds. */\n  readonly max: number;\n};\n\n/**\n * Performance metrics for a single step in the generation process.\n */\nexport type StepResultPerformance = {\n  /**\n   * Effective number of output tokens per second over the full language model\n   * response.\n   *\n   * Calculated as `outputTokens / requestSeconds`.\n   */\n  readonly effectiveOutputTokensPerSecond: number;\n\n  /**\n   * Number of output tokens per second after the first generated output chunk\n   * was received.\n   *\n   * Only available for streaming steps.\n   *\n   * Calculated as `outputTokens / outputStreamSeconds`.\n   */\n  readonly outputTokensPerSecond: number | undefined;\n\n  /**\n   * Number of input tokens processed per second before the first generated\n   * output chunk was received.\n   *\n   * Only available for streaming steps.\n   *\n   * Calculated as `inputTokens / ttftSeconds`.\n   */\n  readonly inputTokensPerSecond: number | undefined;\n\n  /**\n   * Effective number of input and output tokens per second over the full\n   * language model response.\n   *\n   * Calculated as `(inputTokens + outputTokens) / requestSeconds`.\n   */\n  readonly effectiveTotalTokensPerSecond: number;\n\n  /**\n   * Total time spent on the step in milliseconds.\n   */\n  readonly stepTimeMs: number;\n\n  /**\n   * Time spent waiting for the language model response in milliseconds.\n   */\n  readonly responseTimeMs: number;\n\n  /**\n   * Time spent executing each client-side tool call in milliseconds, keyed by\n   * tool call ID.\n   */\n  readonly toolExecutionMs: Readonly<Record<string, number>>;\n\n  /**\n   * Time until the first generated output chunk was received in milliseconds.\n   *\n   * This includes text deltas, reasoning deltas, generated files, reasoning\n   * files, tool input deltas, and tool calls.\n   *\n   * Only available for streaming steps.\n   */\n  readonly timeToFirstOutputMs: number | undefined;\n\n  /**\n   * Timing statistics for the gaps between generated output chunks in\n   * milliseconds.\n   *\n   * Only available for streaming steps with at least two generated output\n   * chunks.\n   */\n  readonly timeBetweenOutputChunksMs?: OutputChunkTimingStats;\n};\n\n/**\n * The result of a single step in the generation process.\n */\nexport type StepResult<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n> = {\n  /**\n   * Unique identifier for the generation call this step belongs to.\n   */\n  readonly callId: string;\n\n  /**\n   * Zero-based index of this step.\n   */\n  readonly stepNumber: number;\n\n  /**\n   * Information about the model that produced this step.\n   */\n  readonly model: {\n    /** The provider of the model. */\n    readonly provider: string;\n\n    /** The ID of the model. */\n    readonly modelId: string;\n  };\n\n  /**\n   * Tool context.\n   */\n  readonly toolsContext: InferToolSetContext<TOOLS>;\n\n  /**\n   * The runtime context that was used as input for the step.\n   */\n  readonly runtimeContext: RUNTIME_CONTEXT;\n\n  /**\n   * The content that was generated in the last step.\n   */\n  readonly content: Array<ContentPart<TOOLS>>;\n\n  /**\n   * The concatenation of all text parts generated in this step.\n   * It is an empty string if the step contains no text parts.\n   */\n  readonly text: string;\n\n  /**\n   * The reasoning that was generated during the generation.\n   */\n  readonly reasoning: Array<ReasoningPart | ReasoningFilePart>;\n\n  /**\n   * The reasoning text that was generated during the generation.\n   *\n   * It is a concatenation of all reasoning parts (but excluding reasoning file parts).\n   * Can be undefined if the model has only generated text.\n   */\n  readonly reasoningText: string | undefined;\n\n  /**\n   * The files that were generated during the generation.\n   */\n  readonly files: Array<GeneratedFile>;\n\n  /**\n   * The sources that were used to generate the text.\n   */\n  readonly sources: Array<Source>;\n\n  /**\n   * The tool calls that were made during the generation.\n   */\n  readonly toolCalls: Array<TypedToolCall<TOOLS>>;\n\n  /**\n   * The static tool calls that were made in the last step.\n   */\n  readonly staticToolCalls: Array<StaticToolCall<TOOLS>>;\n\n  /**\n   * The dynamic tool calls that were made in the last step.\n   */\n  readonly dynamicToolCalls: Array<DynamicToolCall>;\n\n  /**\n   * The results of the tool calls.\n   */\n  readonly toolResults: Array<TypedToolResult<TOOLS>>;\n\n  /**\n   * The static tool results that were made in the last step.\n   */\n  readonly staticToolResults: Array<StaticToolResult<TOOLS>>;\n\n  /**\n   * The dynamic tool results that were made in the last step.\n   */\n  readonly dynamicToolResults: Array<DynamicToolResult>;\n\n  /**\n   * The unified reason why the generation finished.\n   */\n  readonly finishReason: FinishReason;\n\n  /**\n   * The raw reason why the generation finished (from the provider).\n   */\n  readonly rawFinishReason: string | undefined;\n\n  /**\n   * The token usage of the generated text.\n   */\n  readonly usage: LanguageModelUsage;\n\n  /**\n   * Performance metrics for the step.\n   */\n  readonly performance: StepResultPerformance;\n\n  /**\n   * Warnings from the model provider (e.g. unsupported settings).\n   */\n  readonly warnings: CallWarning[] | undefined;\n\n  /**\n   * Additional request information.\n   */\n  readonly request: LanguageModelRequestMetadata;\n\n  /**\n   * Additional response information.\n   */\n  readonly response: LanguageModelResponseMetadata;\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * from the provider to the AI SDK and enable provider-specific\n   * results that can be fully encapsulated in the provider.\n   */\n  readonly providerMetadata: ProviderMetadata | undefined;\n};\n\nexport class DefaultStepResult<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n> implements StepResult<TOOLS, RUNTIME_CONTEXT> {\n  readonly callId: StepResult<TOOLS, RUNTIME_CONTEXT>['callId'];\n  readonly stepNumber: StepResult<TOOLS, RUNTIME_CONTEXT>['stepNumber'];\n  readonly model: StepResult<TOOLS, RUNTIME_CONTEXT>['model'];\n  readonly toolsContext: StepResult<TOOLS, RUNTIME_CONTEXT>['toolsContext'];\n  readonly runtimeContext: StepResult<TOOLS, RUNTIME_CONTEXT>['runtimeContext'];\n  readonly content: StepResult<TOOLS, RUNTIME_CONTEXT>['content'];\n  readonly finishReason: StepResult<TOOLS, RUNTIME_CONTEXT>['finishReason'];\n  readonly rawFinishReason: StepResult<\n    TOOLS,\n    RUNTIME_CONTEXT\n  >['rawFinishReason'];\n  readonly usage: StepResult<TOOLS, RUNTIME_CONTEXT>['usage'];\n  readonly performance: StepResult<TOOLS, RUNTIME_CONTEXT>['performance'];\n  readonly warnings: StepResult<TOOLS, RUNTIME_CONTEXT>['warnings'];\n  readonly request: StepResult<TOOLS, RUNTIME_CONTEXT>['request'];\n  readonly response: StepResult<TOOLS, RUNTIME_CONTEXT>['response'];\n  readonly providerMetadata: StepResult<\n    TOOLS,\n    RUNTIME_CONTEXT\n  >['providerMetadata'];\n\n  constructor({\n    callId,\n    stepNumber,\n    provider,\n    modelId,\n    runtimeContext,\n    toolsContext,\n    content,\n    finishReason,\n    rawFinishReason,\n    usage,\n    performance,\n    warnings,\n    request,\n    response,\n    providerMetadata,\n  }: {\n    callId: StepResult<TOOLS, RUNTIME_CONTEXT>['callId'];\n    stepNumber: StepResult<TOOLS, RUNTIME_CONTEXT>['stepNumber'];\n    provider: StepResult<TOOLS, RUNTIME_CONTEXT>['model']['provider'];\n    modelId: StepResult<TOOLS, RUNTIME_CONTEXT>['model']['modelId'];\n    runtimeContext: StepResult<TOOLS, RUNTIME_CONTEXT>['runtimeContext'];\n    toolsContext: StepResult<TOOLS, RUNTIME_CONTEXT>['toolsContext'];\n    content: StepResult<TOOLS, RUNTIME_CONTEXT>['content'];\n    finishReason: StepResult<TOOLS, RUNTIME_CONTEXT>['finishReason'];\n    rawFinishReason: StepResult<TOOLS, RUNTIME_CONTEXT>['rawFinishReason'];\n    usage: StepResult<TOOLS, RUNTIME_CONTEXT>['usage'];\n    performance: StepResult<TOOLS, RUNTIME_CONTEXT>['performance'];\n    warnings: StepResult<TOOLS, RUNTIME_CONTEXT>['warnings'];\n    request: StepResult<TOOLS, RUNTIME_CONTEXT>['request'];\n    response: StepResult<TOOLS, RUNTIME_CONTEXT>['response'];\n    providerMetadata: StepResult<TOOLS, RUNTIME_CONTEXT>['providerMetadata'];\n  }) {\n    this.callId = callId;\n    this.stepNumber = stepNumber;\n    this.model = { provider, modelId };\n    this.runtimeContext = runtimeContext;\n    this.toolsContext = toolsContext;\n    this.content = content;\n    this.finishReason = finishReason;\n    this.rawFinishReason = rawFinishReason;\n    this.usage = usage;\n    this.performance = performance;\n    this.warnings = warnings;\n    this.request = request;\n    this.response = response;\n    this.providerMetadata = providerMetadata;\n  }\n\n  get text() {\n    return this.content\n      .filter(part => part.type === 'text')\n      .map(part => part.text)\n      .join('');\n  }\n\n  get reasoning(): Array<ReasoningPart | ReasoningFilePart> {\n    return convertFromReasoningOutputs(\n      this.content.filter(\n        (part): part is ReasoningOutput | ReasoningFileOutput =>\n          part.type === 'reasoning' || part.type === 'reasoning-file',\n      ),\n    );\n  }\n\n  get reasoningText() {\n    return asReasoningText(this.reasoning);\n  }\n\n  get files() {\n    return this.content\n      .filter(part => part.type === 'file')\n      .map(part => part.file);\n  }\n\n  get sources() {\n    return this.content.filter(part => part.type === 'source');\n  }\n\n  get toolCalls() {\n    return this.content.filter(part => part.type === 'tool-call');\n  }\n\n  get staticToolCalls() {\n    return this.toolCalls.filter(\n      (toolCall): toolCall is StaticToolCall<TOOLS> =>\n        toolCall.dynamic !== true,\n    );\n  }\n\n  get dynamicToolCalls() {\n    return this.toolCalls.filter(\n      (toolCall): toolCall is DynamicToolCall => toolCall.dynamic === true,\n    );\n  }\n\n  get toolResults() {\n    return this.content.filter(part => part.type === 'tool-result');\n  }\n\n  get staticToolResults() {\n    return this.toolResults.filter(\n      (toolResult): toolResult is StaticToolResult<TOOLS> =>\n        toolResult.dynamic !== true,\n    );\n  }\n\n  get dynamicToolResults() {\n    return this.toolResults.filter(\n      (toolResult): toolResult is DynamicToolResult =>\n        toolResult.dynamic === true,\n    );\n  }\n}\n", "import type {\n  Context,\n  InferToolContext,\n  InferToolSetContext,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryDispatcher } from '../telemetry/telemetry';\nimport type {\n  IncludedContext,\n  IncludedToolsContext,\n  TelemetryOptions,\n} from '../telemetry/telemetry-options';\nimport type {\n  GenerateTextOnAbortCallback,\n  GenerateTextOnEndCallback,\n  GenerateTextOnStartCallback,\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n  GenerateTextOnStepStartCallback,\n} from './generate-text-events';\nimport type { Output } from './output';\nimport { DefaultStepResult, type StepResult } from './step-result';\nimport type {\n  OnToolExecutionEndCallback,\n  OnToolExecutionStartCallback,\n} from './tool-execution-events';\n\n/**\n * Telemetry dispatcher for text generation with callbacks typed to the\n * operation-specific tool set, runtime context, and output shape.\n */\nexport type RestrictedTelemetryDispatcher<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n  OUTPUT extends Output,\n> = Omit<\n  TelemetryDispatcher,\n  | 'onStart'\n  | 'onStepStart'\n  | 'onStepEnd'\n  | 'onStepFinish'\n  | 'onEnd'\n  | 'onAbort'\n  | 'onToolExecutionStart'\n  | 'onToolExecutionEnd'\n> & {\n  onStart: GenerateTextOnStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  onStepStart: GenerateTextOnStepStartCallback<TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  onStepEnd: GenerateTextOnStepEndCallback<TOOLS, RUNTIME_CONTEXT>;\n  /** @deprecated Use `onStepEnd` instead. */\n  onStepFinish: GenerateTextOnStepFinishCallback<TOOLS, RUNTIME_CONTEXT>;\n  onEnd: GenerateTextOnEndCallback<TOOLS, RUNTIME_CONTEXT>;\n  onAbort?: GenerateTextOnAbortCallback<TOOLS, RUNTIME_CONTEXT>;\n  onToolExecutionStart?: OnToolExecutionStartCallback<TOOLS>;\n  onToolExecutionEnd?: OnToolExecutionEndCallback<TOOLS>;\n};\n\n/**\n * Returns a shallow copy of the runtime context with only top-level\n * properties marked for telemetry inclusion.\n */\nfunction filterIncludedContext<CONTEXT extends Context>({\n  context,\n  includeContext,\n}: {\n  context: CONTEXT;\n  includeContext: IncludedContext<CONTEXT>;\n}): Context {\n  if (context == null) {\n    return {};\n  }\n\n  return Object.fromEntries(\n    Object.entries(context).filter(\n      ([key]) => includeContext?.[key as keyof CONTEXT] === true,\n    ),\n  );\n}\n\n/**\n * Creates a copy of a step result whose runtime context only contains\n * top-level properties marked for telemetry inclusion.\n */\nfunction restrictStepResult<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n>({\n  step,\n  includeRuntimeContext,\n  includeToolsContext,\n}: {\n  step: StepResult<TOOLS, RUNTIME_CONTEXT>;\n  includeRuntimeContext: IncludedContext<RUNTIME_CONTEXT>;\n  includeToolsContext: IncludedToolsContext<TOOLS>;\n}) {\n  return new DefaultStepResult({\n    callId: step.callId,\n    stepNumber: step.stepNumber,\n    provider: step.model.provider,\n    modelId: step.model.modelId,\n    runtimeContext: filterIncludedContext({\n      context: step.runtimeContext,\n      includeContext: includeRuntimeContext,\n    }),\n    toolsContext: filterToolsContext({\n      toolsContext: step.toolsContext,\n      includeToolsContext,\n    }),\n    content: step.content,\n    finishReason: step.finishReason,\n    rawFinishReason: step.rawFinishReason,\n    usage: step.usage,\n    performance: step.performance,\n    warnings: step.warnings,\n    request: step.request,\n    response: step.response,\n    providerMetadata: step.providerMetadata,\n  });\n}\n\n/**\n * Returns a shallow copy of the tools context with only top-level properties\n * marked for telemetry inclusion for each tool.\n */\nfunction filterToolsContext<TOOLS extends ToolSet>({\n  toolsContext,\n  includeToolsContext,\n}: {\n  toolsContext: InferToolSetContext<TOOLS>;\n  includeToolsContext: IncludedToolsContext<TOOLS>;\n}): InferToolSetContext<TOOLS> {\n  if (includeToolsContext == null) {\n    return {} as InferToolSetContext<TOOLS>;\n  }\n\n  return Object.fromEntries(\n    Object.entries(toolsContext).map(([toolName, toolContext]) => [\n      toolName,\n      filterToolContext({\n        toolName,\n        toolContext,\n        includeToolsContext,\n      }),\n    ]),\n  ) as InferToolSetContext<TOOLS>;\n}\n\nfunction filterToolContext<TOOLS extends ToolSet>({\n  toolName,\n  toolContext,\n  includeToolsContext,\n}: {\n  toolName: string;\n  toolContext: unknown;\n  includeToolsContext: IncludedToolsContext<TOOLS>;\n}) {\n  const includeToolContext = (\n    includeToolsContext as\n      | Record<\n          string,\n          IncludedContext<InferToolContext<TOOLS[typeof toolName]>>\n        >\n      | undefined\n  )?.[toolName];\n\n  return filterIncludedContext({\n    context: toolContext as InferToolContext<TOOLS[typeof toolName]>,\n    includeContext: includeToolContext,\n  });\n}\n\n/**\n * Creates a telemetry dispatcher that only includes configured runtime context\n * properties in text-generation lifecycle events before dispatching them.\n */\nexport function createRestrictedTelemetryDispatcher<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n  OUTPUT extends Output,\n>({\n  telemetry,\n  includeRuntimeContext,\n  includeToolsContext,\n}: {\n  telemetry?: TelemetryOptions<RUNTIME_CONTEXT, TOOLS>;\n  includeRuntimeContext: IncludedContext<RUNTIME_CONTEXT>;\n  includeToolsContext?: IncludedToolsContext<TOOLS>;\n}): RestrictedTelemetryDispatcher<TOOLS, RUNTIME_CONTEXT, OUTPUT> {\n  const telemetryDispatcher = createTelemetryDispatcher({ telemetry });\n\n  return {\n    ...telemetryDispatcher,\n    onStart: event =>\n      telemetryDispatcher.onStart?.({\n        ...event,\n        runtimeContext: filterIncludedContext({\n          context: event.runtimeContext,\n          includeContext: includeRuntimeContext,\n        }),\n        toolsContext: filterToolsContext({\n          toolsContext: event.toolsContext,\n          includeToolsContext,\n        }),\n      }),\n    onStepStart: event =>\n      telemetryDispatcher.onStepStart?.({\n        ...event,\n        runtimeContext: filterIncludedContext({\n          context: event.runtimeContext,\n          includeContext: includeRuntimeContext,\n        }),\n        steps: event.steps.map(step =>\n          restrictStepResult({\n            step,\n            includeRuntimeContext,\n            includeToolsContext,\n          }),\n        ),\n        toolsContext: filterToolsContext({\n          toolsContext: event.toolsContext,\n          includeToolsContext,\n        }),\n      }),\n    onStepEnd: event =>\n      telemetryDispatcher.onStepEnd?.(\n        restrictStepResult({\n          step: event,\n          includeRuntimeContext,\n          includeToolsContext,\n        }),\n      ),\n    onStepFinish: event =>\n      telemetryDispatcher.onStepEnd?.(\n        restrictStepResult({\n          step: event,\n          includeRuntimeContext,\n          includeToolsContext,\n        }),\n      ),\n    onEnd: event =>\n      telemetryDispatcher.onEnd?.(\n        ((restrictedSteps: StepResult<TOOLS, Context>[]) => {\n          return {\n            ...event,\n            runtimeContext: filterIncludedContext({\n              context: event.runtimeContext,\n              includeContext: includeRuntimeContext,\n            }),\n            steps: restrictedSteps,\n            finalStep: restrictedSteps.at(-1)!,\n            toolsContext: filterToolsContext({\n              toolsContext: event.toolsContext,\n              includeToolsContext,\n            }),\n          };\n        })(\n          event.steps.map(step =>\n            restrictStepResult({\n              step,\n              includeRuntimeContext,\n              includeToolsContext,\n            }),\n          ),\n        ),\n      ),\n    onAbort: event =>\n      telemetryDispatcher.onAbort?.({\n        ...event,\n        steps: event.steps.map(step =>\n          restrictStepResult({\n            step,\n            includeRuntimeContext,\n            includeToolsContext,\n          }),\n        ),\n      }),\n    onToolExecutionStart: event =>\n      telemetryDispatcher.onToolExecutionStart?.({\n        ...event,\n        toolContext: filterToolContext({\n          toolName: event.toolCall.toolName,\n          toolContext: event.toolContext,\n          includeToolsContext,\n        }),\n      }),\n    onToolExecutionEnd: event =>\n      telemetryDispatcher.onToolExecutionEnd?.({\n        ...event,\n        toolContext: filterToolContext({\n          toolName: event.toolCall.toolName,\n          toolContext: event.toolContext,\n          includeToolsContext,\n        }),\n      }),\n  };\n}\n", "import type { Context, ToolSet } from '@ai-sdk/provider-utils';\nimport type { StepResult } from './step-result';\n\n/**\n * A predicate that decides whether a tool-calling loop should stop after the\n * current step.\n *\n * A tool calling loop continues until one of the following conditions is met:\n * - The model returns a finish reason other than `tool-calls`\n * - A tool without an execute function is called\n * - A tool call needs approval\n * - One of the provided stop conditions returns `true`\n */\nexport type StopCondition<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n> = (options: {\n  steps: Array<StepResult<TOOLS, RUNTIME_CONTEXT>>;\n}) => PromiseLike<boolean> | boolean;\n\n/**\n * Creates a stop condition that returns `true` when the number of completed\n * steps equals `stepCount`.\n *\n * @param stepCount - The number of steps to allow before stopping.\n */\nexport function isStepCount(stepCount: number): StopCondition<any, any> {\n  return ({ steps }) => steps.length === stepCount;\n}\n\n/**\n * Creates a stop condition that never returns `true`.\n *\n * This lets the tool-calling loop continue until it reaches one of its\n * natural termination conditions.\n */\nexport function isLoopFinished(): StopCondition<any, any> {\n  return () => false;\n}\n\n/**\n * Creates a stop condition that returns `true` when the most recent step\n * contains a tool call with any of the specified names.\n *\n * @param toolName - The names of the tools that should stop the loop.\n */\nexport function hasToolCall<TOOLS extends ToolSet>(\n  ...toolName: Array<keyof TOOLS | (string & {})> // autocomplete support for tool names\n): StopCondition<TOOLS, any> {\n  return ({ steps }) =>\n    steps[steps.length - 1]?.toolCalls?.some(toolCall =>\n      toolName.includes(toolCall.toolName),\n    ) ?? false;\n}\n\n/**\n * Evaluates the provided stop conditions for the current list of steps.\n *\n * Returns `true` as soon as any stop condition is met.\n *\n * @param stopConditions - The stop conditions to evaluate.\n * @param steps - The completed steps accumulated so far.\n */\nexport async function isStopConditionMet<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n>({\n  stopConditions,\n  steps,\n}: {\n  stopConditions: Array<StopCondition<TOOLS, RUNTIME_CONTEXT>>;\n  steps: Array<StepResult<TOOLS, RUNTIME_CONTEXT>>;\n}): Promise<boolean> {\n  return (\n    await Promise.all(stopConditions.map(condition => condition({ steps })))\n  ).some(result => result);\n}\n", "/**\n * Adds token counts while preserving an unknown total when both counts are\n * unknown.\n */\nexport function sumTokenCounts(\n  tokenCount1: number | undefined,\n  tokenCount2: number | undefined,\n): number | undefined {\n  return tokenCount1 == null && tokenCount2 == null\n    ? undefined\n    : (tokenCount1 ?? 0) + (tokenCount2 ?? 0);\n}\n", "import type {\n  AssistantContent,\n  AssistantModelMessage,\n  ToolContent,\n  ToolModelMessage,\n} from '../prompt';\nimport { createToolModelOutput } from '../prompt/create-tool-model-output';\nimport { getOwn } from '../util/get-own';\nimport type { ContentPart } from './content-part';\nimport type { ToolSet } from '@ai-sdk/provider-utils';\n\n/**\n * Converts the result of a `generateText` or `streamText` call to a list of response messages.\n */\nexport async function toResponseMessages<TOOLS extends ToolSet>({\n  content: inputContent,\n  tools,\n}: {\n  content: Array<ContentPart<TOOLS>>;\n  tools: TOOLS | undefined;\n}): Promise<Array<AssistantModelMessage | ToolModelMessage>> {\n  const responseMessages: Array<AssistantModelMessage | ToolModelMessage> = [];\n  const toolCallOrder = new Map<string, number>();\n\n  const content: AssistantContent = [];\n  for (const part of inputContent) {\n    // Skip sources - they are response-only content that no provider expects back\n    if (part.type === 'source') {\n      continue;\n    }\n\n    // Skip non-provider-executed tool results/errors (they go in the tool message)\n    if (\n      (part.type === 'tool-result' || part.type === 'tool-error') &&\n      !part.providerExecuted\n    ) {\n      continue;\n    }\n\n    // Skip empty text\n    if (part.type === 'text' && part.text.length === 0) {\n      continue;\n    }\n\n    switch (part.type) {\n      case 'text':\n        content.push({\n          type: 'text',\n          text: part.text,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'custom':\n        content.push({\n          type: 'custom',\n          kind: part.kind,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'reasoning':\n        content.push({\n          type: 'reasoning',\n          text: part.text,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'file':\n        content.push({\n          type: 'file',\n          data: part.file.base64,\n          mediaType: part.file.mediaType,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'reasoning-file':\n        content.push({\n          type: 'reasoning-file',\n          data: part.file.base64,\n          mediaType: part.file.mediaType,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'tool-call':\n        if (!toolCallOrder.has(part.toolCallId)) {\n          toolCallOrder.set(part.toolCallId, toolCallOrder.size);\n        }\n        content.push({\n          type: 'tool-call',\n          toolCallId: part.toolCallId,\n          toolName: part.toolName,\n          input:\n            part.invalid && typeof part.input !== 'object' ? {} : part.input,\n          providerExecuted: part.providerExecuted,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      case 'tool-result': {\n        const output = await createToolModelOutput({\n          toolCallId: part.toolCallId,\n          input: part.input,\n          tool: getOwn(tools, part.toolName),\n          output: part.output,\n          errorMode: 'none',\n        });\n        content.push({\n          type: 'tool-result',\n          toolCallId: part.toolCallId,\n          toolName: part.toolName,\n          output,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      }\n      case 'tool-error': {\n        const output = await createToolModelOutput({\n          toolCallId: part.toolCallId,\n          input: part.input,\n          tool: getOwn(tools, part.toolName),\n          output: part.error,\n          errorMode: 'json',\n        });\n        content.push({\n          type: 'tool-result',\n          toolCallId: part.toolCallId,\n          toolName: part.toolName,\n          output,\n          providerOptions: part.providerMetadata,\n        });\n        break;\n      }\n      case 'tool-approval-request':\n        content.push({\n          type: 'tool-approval-request',\n          approvalId: part.approvalId,\n          toolCallId: part.toolCall.toolCallId,\n          isAutomatic: part.isAutomatic,\n          ...(part.signature != null ? { signature: part.signature } : {}),\n        });\n        break;\n    }\n  }\n\n  if (content.length > 0) {\n    responseMessages.push({\n      role: 'assistant',\n      content,\n    });\n  }\n\n  const toolResultContent: ToolContent = [];\n  for (const part of inputContent) {\n    if (\n      part.type !== 'tool-approval-response' &&\n      part.type !== 'tool-result' &&\n      part.type !== 'tool-error'\n    ) {\n      continue;\n    }\n\n    if (part.type === 'tool-approval-response') {\n      toolResultContent.push({\n        type: 'tool-approval-response',\n        approvalId: part.approvalId,\n        approved: part.approved,\n        reason: part.reason,\n        providerExecuted: part.providerExecuted,\n      });\n\n      // when the tool approval is denied,\n      // we need to add an execution-denied tool result\n      // since there is no corresponding tool result for the tool call\n      if (part.approved === false) {\n        toolResultContent.push({\n          type: 'tool-result',\n          toolCallId: part.toolCall.toolCallId,\n          toolName: part.toolCall.toolName,\n          output: {\n            type: 'execution-denied' as const,\n            reason: part.reason,\n          },\n        });\n      }\n      continue;\n    }\n\n    if (part.providerExecuted) {\n      continue;\n    }\n\n    const output = await createToolModelOutput({\n      toolCallId: part.toolCallId,\n      input: part.input,\n      tool: getOwn(tools, part.toolName),\n      output: part.type === 'tool-result' ? part.output : part.error,\n      errorMode: part.type === 'tool-error' ? 'text' : 'none',\n    });\n\n    toolResultContent.push({\n      type: 'tool-result',\n      toolCallId: part.toolCallId,\n      toolName: part.toolName,\n      output,\n      ...(part.providerMetadata != null\n        ? { providerOptions: part.providerMetadata }\n        : {}),\n    });\n  }\n\n  if (toolResultContent.length > 0) {\n    responseMessages.push({\n      role: 'tool',\n      content: sortToolResultContentByToolCallOrder({\n        toolResultContent,\n        toolCallOrder,\n      }),\n    });\n  }\n\n  return responseMessages;\n}\n\nfunction sortToolResultContentByToolCallOrder({\n  toolResultContent,\n  toolCallOrder,\n}: {\n  toolResultContent: ToolContent;\n  toolCallOrder: Map<string, number>;\n}): ToolContent {\n  const sortedToolResults = toolResultContent\n    .filter(part => part.type === 'tool-result')\n    .map((part, index) => ({ part, index }))\n    .sort((a, b) => {\n      const aOrder = toolCallOrder.get(a.part.toolCallId);\n      const bOrder = toolCallOrder.get(b.part.toolCallId);\n\n      if (aOrder == null && bOrder == null) {\n        return a.index - b.index;\n      }\n\n      if (aOrder == null) {\n        return 1;\n      }\n\n      if (bOrder == null) {\n        return -1;\n      }\n\n      return aOrder - bOrder || a.index - b.index;\n    })\n    .map(({ part }) => part);\n\n  let toolResultIndex = 0;\n\n  return toolResultContent.map(part =>\n    part.type === 'tool-result' ? sortedToolResults[toolResultIndex++] : part,\n  );\n}\n", "import {\n  experimental_getToolCaller,\n  type Experimental_ToolCallerTool,\n  type Tool,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { InvalidArgumentError } from '../error/invalid-argument-error';\n\nconst DIRECT_TOOL_CALL = 'AI_SDK_DIRECT_TOOL_CALL';\n\ntype ToolCallerName<TOOLS extends ToolSet> = {\n  [NAME in keyof TOOLS]: TOOLS[NAME] extends Experimental_ToolCallerTool\n    ? NAME\n    : never;\n}[keyof TOOLS] &\n  string;\n\nexport type Experimental_ToolCallers<TOOLS extends ToolSet> = {\n  [NAME in keyof TOOLS]?: ReadonlyArray<\n    'AI_SDK_DIRECT_TOOL_CALL' | ToolCallerName<TOOLS>\n  >;\n};\n\nexport type ResolvedToolCallers = Record<string, ReadonlyArray<string>>;\n\nexport function resolveToolCallerConfiguration<TOOLS extends ToolSet>({\n  tools,\n  toolCallers,\n}: {\n  tools: TOOLS | undefined;\n  toolCallers: Experimental_ToolCallers<TOOLS> | undefined;\n}): ResolvedToolCallers | undefined {\n  if (tools == null || toolCallers == null) {\n    return undefined;\n  }\n\n  const resolved: ResolvedToolCallers = {};\n\n  for (const [toolName, callers] of Object.entries(toolCallers)) {\n    if (!Object.prototype.hasOwnProperty.call(tools, toolName)) {\n      throw new InvalidArgumentError({\n        parameter: 'experimental_toolCallers',\n        value: toolCallers,\n        message: `unknown tool \"${toolName}\".`,\n      });\n    }\n\n    if (!Array.isArray(callers)) {\n      throw new InvalidArgumentError({\n        parameter: 'experimental_toolCallers',\n        value: toolCallers,\n        message: `callers for tool \"${toolName}\" must be an array.`,\n      });\n    }\n\n    resolved[toolName] = callers.map(caller => {\n      if (caller === DIRECT_TOOL_CALL) {\n        return caller;\n      }\n\n      if (\n        typeof caller !== 'string' ||\n        !Object.prototype.hasOwnProperty.call(tools, caller) ||\n        experimental_getToolCaller(tools[caller]) == null\n      ) {\n        throw new InvalidArgumentError({\n          parameter: 'experimental_toolCallers',\n          value: toolCallers,\n          message: `tool \"${toolName}\" contains an invalid caller.`,\n        });\n      }\n\n      return caller;\n    });\n  }\n\n  return resolved;\n}\n\nexport function prepareToolsForToolCallers({\n  tools,\n  toolCallers,\n}: {\n  tools: ToolSet | undefined;\n  toolCallers: ResolvedToolCallers | undefined;\n}): {\n  executionTools: ToolSet | undefined;\n  modelTools: ToolSet | undefined;\n} {\n  if (tools == null || toolCallers == null) {\n    return { executionTools: tools, modelTools: tools };\n  }\n\n  const executionTools: ToolSet = { ...tools };\n  const modelTools: ToolSet = { ...tools };\n  const localToolsByCaller = new Map<string, ToolSet>();\n\n  for (const [toolName, callerNames] of Object.entries(toolCallers)) {\n    const tool = executionTools[toolName];\n    if (tool == null) {\n      continue;\n    }\n\n    let availableDirectly = false;\n    let availableToProvider = false;\n    let preparedTool: Tool = tool;\n\n    for (const callerName of callerNames) {\n      if (callerName === DIRECT_TOOL_CALL) {\n        availableDirectly = true;\n        continue;\n      }\n\n      const caller = experimental_getToolCaller(executionTools[callerName]);\n      if (caller == null) {\n        continue;\n      }\n\n      if (caller.type === 'provider') {\n        availableToProvider = true;\n        preparedTool = {\n          ...preparedTool,\n          providerOptions: caller.prepareProviderOptions(\n            preparedTool.providerOptions,\n          ),\n        } as Tool;\n      } else {\n        const localTools = localToolsByCaller.get(callerName) ?? {};\n        localTools[toolName] = preparedTool;\n        localToolsByCaller.set(callerName, localTools);\n      }\n    }\n\n    executionTools[toolName] = preparedTool;\n\n    if (availableDirectly || availableToProvider) {\n      modelTools[toolName] = preparedTool;\n    } else {\n      delete modelTools[toolName];\n    }\n  }\n\n  for (const [callerName, callerTool] of Object.entries(executionTools)) {\n    const caller = experimental_getToolCaller(callerTool);\n    if (caller?.type !== 'local') {\n      continue;\n    }\n\n    const boundCaller = caller.bind(localToolsByCaller.get(callerName) ?? {});\n    executionTools[callerName] = boundCaller;\n\n    if (Object.prototype.hasOwnProperty.call(modelTools, callerName)) {\n      modelTools[callerName] = boundCaller;\n    }\n  }\n\n  return { executionTools, modelTools };\n}\n", "import { convertBase64ToUint8Array } from '@ai-sdk/provider-utils';\nimport { hashCanonical, toBase64url } from '../util/canonical-hash';\n\nconst encoder = new TextEncoder();\n\nfunction fromBase64url(str: string): Uint8Array {\n  return convertBase64ToUint8Array(str);\n}\n\nasync function importKey(secret: string | Uint8Array): Promise<CryptoKey> {\n  const keyData = typeof secret === 'string' ? encoder.encode(secret) : secret;\n  return crypto.subtle.importKey(\n    'raw',\n    keyData,\n    { name: 'HMAC', hash: 'SHA-256' },\n    false,\n    ['sign', 'verify'],\n  );\n}\n\n// Serialize with JSON so the encoding is injective: fields may contain any\n// character (including newlines), and escaping + array structure keeps field\n// boundaries unambiguous. The version prefix provides domain separation.\nfunction buildPayload(\n  approvalId: string,\n  toolCallId: string,\n  toolName: string,\n  inputDigest: string,\n): Uint8Array {\n  return encoder.encode(\n    JSON.stringify([\n      'ai-sdk-tool-approval-v1',\n      approvalId,\n      toolCallId,\n      toolName,\n      inputDigest,\n    ]),\n  );\n}\n\n// Legacy newline-joined payload. Ambiguous when any field contains the `\\n`\n// delimiter, which is why it was replaced; only used as a verify-time fallback\n// guarded on delimiter-free fields.\n// TODO(#17494): remove in v8 when backwards compatibility with pre-JSON\n// signatures (approvals signed before the injective format) is no longer\n// needed.\nfunction buildLegacyPayload(\n  approvalId: string,\n  toolCallId: string,\n  toolName: string,\n  inputDigest: string,\n): Uint8Array {\n  return encoder.encode(\n    `${approvalId}\\n${toolCallId}\\n${toolName}\\n${inputDigest}`,\n  );\n}\n\nexport async function signToolApproval({\n  secret,\n  approvalId,\n  toolCallId,\n  toolName,\n  input,\n}: {\n  secret: string | Uint8Array;\n  approvalId: string;\n  toolCallId: string;\n  toolName: string;\n  input: unknown;\n}): Promise<string> {\n  const key = await importKey(secret);\n  const inputDigest = await hashCanonical(input);\n  const payload = buildPayload(approvalId, toolCallId, toolName, inputDigest);\n  const sig = await crypto.subtle.sign('HMAC', key, payload);\n  return toBase64url(new Uint8Array(sig));\n}\n\nexport async function verifyToolApprovalSignature({\n  secret,\n  signature,\n  approvalId,\n  toolCallId,\n  toolName,\n  input,\n}: {\n  secret: string | Uint8Array;\n  signature: string;\n  approvalId: string;\n  toolCallId: string;\n  toolName: string;\n  input: unknown;\n}): Promise<boolean> {\n  const key = await importKey(secret);\n  const inputDigest = await hashCanonical(input);\n  const sigBytes = fromBase64url(signature);\n\n  const payload = buildPayload(approvalId, toolCallId, toolName, inputDigest);\n  if (await crypto.subtle.verify('HMAC', key, sigBytes, payload)) {\n    return true;\n  }\n\n  // Backwards compatibility: accept a signature produced by the legacy\n  // newline-joined format, but only when no field contains the `\\n` delimiter\n  // — the exact condition that made that format ambiguous. This keeps the\n  // retupling collision closed (the attack requires a newline in a field)\n  // while still verifying benign approvals signed by an older version, e.g. a\n  // pending approval that straddles an upgrade.\n  // TODO(#17494): remove in v8 (drop buildLegacyPayload and this fallback).\n  if (\n    !approvalId.includes('\\n') &&\n    !toolCallId.includes('\\n') &&\n    !toolName.includes('\\n')\n  ) {\n    const legacyPayload = buildLegacyPayload(\n      approvalId,\n      toolCallId,\n      toolName,\n      inputDigest,\n    );\n    return crypto.subtle.verify('HMAC', key, sigBytes, legacyPayload);\n  }\n\n  return false;\n}\n\nexport async function maybeSignApproval({\n  secret,\n  approvalId,\n  toolCallId,\n  toolName,\n  input,\n}: {\n  secret: string | Uint8Array | undefined;\n  approvalId: string;\n  toolCallId: string;\n  toolName: string;\n  input: unknown;\n}): Promise<string | undefined> {\n  if (secret == null) return undefined;\n  return signToolApproval({ secret, approvalId, toolCallId, toolName, input });\n}\n", "import { convertUint8ArrayToBase64 } from '@ai-sdk/provider-utils';\n\nconst encoder = new TextEncoder();\n\n/**\n * Deterministic JSON serialization: object keys are sorted so that two\n * structurally-equal values always produce the same string regardless of key\n * insertion order. Used as the input to content hashing.\n */\nexport function canonicalJSON(value: unknown): string {\n  if (value === null || value === undefined) {\n    return JSON.stringify(value);\n  }\n  if (typeof value !== 'object') {\n    return JSON.stringify(value);\n  }\n  if (Array.isArray(value)) {\n    return `[${value.map(canonicalJSON).join(',')}]`;\n  }\n  const keys = Object.keys(value as Record<string, unknown>).sort();\n  const entries = keys.map(\n    k =>\n      `${JSON.stringify(k)}:${canonicalJSON((value as Record<string, unknown>)[k])}`,\n  );\n  return `{${entries.join(',')}}`;\n}\n\nexport function toBase64url(bytes: Uint8Array): string {\n  return convertUint8ArrayToBase64(bytes)\n    .replace(/\\+/g, '-')\n    .replace(/\\//g, '_')\n    .replace(/=+$/g, '');\n}\n\n/**\n * Canonical SHA-256 digest (base64url) of an arbitrary JSON-serializable value.\n */\nexport async function hashCanonical(value: unknown): Promise<string> {\n  const digest = await crypto.subtle.digest(\n    'SHA-256',\n    encoder.encode(canonicalJSON(value)),\n  );\n  return toBase64url(new Uint8Array(digest));\n}\n", "import {\n  asSchema,\n  isExecutableTool,\n  safeValidateTypes,\n  type Context,\n  type InferToolSetContext,\n  type ModelMessage,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { InvalidToolApprovalSignatureError } from '../error/invalid-tool-approval-signature-error';\nimport { InvalidToolInputError } from '../error/invalid-tool-input-error';\nimport { getOwn } from '../util/get-own';\nimport type { CollectedToolApprovals } from './collect-tool-approvals';\nimport { resolveToolApproval } from './resolve-tool-approval';\nimport { verifyToolApprovalSignature } from './tool-approval-signature';\nimport type { ToolApprovalConfiguration } from './tool-approval-configuration';\n\n/**\n * Re-validates approved tool approvals reconstructed from client-supplied\n * message history before they are executed. Checks HMAC signature (when\n * configured), input schema, and approval policy.\n */\nexport async function validateApprovedToolApprovals<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context | unknown | never,\n>({\n  approvedToolApprovals,\n  tools,\n  toolApproval,\n  messages,\n  toolsContext,\n  runtimeContext,\n  toolApprovalSecret,\n}: {\n  approvedToolApprovals: Array<CollectedToolApprovals<TOOLS>>;\n  tools: TOOLS | undefined;\n  toolApproval: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT> | undefined;\n  messages: ModelMessage[];\n  toolsContext: InferToolSetContext<TOOLS>;\n  runtimeContext: RUNTIME_CONTEXT;\n  toolApprovalSecret?: string | Uint8Array;\n}): Promise<{\n  approvedToolApprovals: Array<CollectedToolApprovals<TOOLS>>;\n  deniedToolApprovals: Array<CollectedToolApprovals<TOOLS>>;\n  invalidToolApprovals: Array<\n    CollectedToolApprovals<TOOLS> & { error: InvalidToolInputError }\n  >;\n}> {\n  const approved: Array<CollectedToolApprovals<TOOLS>> = [];\n  const denied: Array<CollectedToolApprovals<TOOLS>> = [];\n  const invalid: Array<\n    CollectedToolApprovals<TOOLS> & { error: InvalidToolInputError }\n  > = [];\n\n  for (const approval of approvedToolApprovals) {\n    const { toolCall, approvalRequest } = approval;\n    // Look up the tool by own property only: `toolName` comes from\n    // client-supplied history, so a name matching an inherited object property\n    // (e.g. `constructor`, `toString`) must resolve to \"no such tool\" rather\n    // than a prototype value that would silently skip input validation below.\n    const tool = getOwn(tools, toolCall.toolName);\n\n    if (toolApprovalSecret != null) {\n      if (approvalRequest.signature == null) {\n        throw new InvalidToolApprovalSignatureError({\n          approvalId: approvalRequest.approvalId,\n          toolCallId: toolCall.toolCallId,\n          reason: 'missing signature',\n        });\n      }\n\n      const valid = await verifyToolApprovalSignature({\n        secret: toolApprovalSecret,\n        signature: approvalRequest.signature,\n        approvalId: approvalRequest.approvalId,\n        toolCallId: toolCall.toolCallId,\n        toolName: toolCall.toolName,\n        input: toolCall.input,\n      });\n\n      if (!valid) {\n        throw new InvalidToolApprovalSignatureError({\n          approvalId: approvalRequest.approvalId,\n          toolCallId: toolCall.toolCallId,\n          reason: 'invalid signature',\n        });\n      }\n    }\n\n    if (isExecutableTool(tool) && tool.inputSchema != null) {\n      const validation = await safeValidateTypes({\n        value: toolCall.input,\n        schema: asSchema(tool.inputSchema),\n      });\n\n      if (!validation.success) {\n        invalid.push({\n          ...approval,\n          error: new InvalidToolInputError({\n            toolName: toolCall.toolName,\n            toolInput: JSON.stringify(toolCall.input),\n            cause: validation.error,\n          }),\n        });\n        continue;\n      }\n    }\n\n    const approvalStatus = await resolveToolApproval({\n      tools,\n      toolApproval,\n      toolCall,\n      messages,\n      toolsContext,\n      runtimeContext,\n    });\n\n    if (approvalStatus.type === 'denied') {\n      denied.push({\n        ...approval,\n        approvalResponse: {\n          ...approval.approvalResponse,\n          approved: false,\n          reason: approvalStatus.reason ?? approval.approvalResponse.reason,\n        },\n      });\n    } else {\n      approved.push(approval);\n    }\n  }\n\n  return {\n    approvedToolApprovals: approved,\n    deniedToolApprovals: denied,\n    invalidToolApprovals: invalid,\n  };\n}\n", "import {\n  getErrorMessage,\n  UnsupportedFunctionalityError,\n  type LanguageModelV4,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  asArray,\n  createIdGenerator,\n  DelayedPromise,\n  filterNullable,\n  isAbortError,\n  type Arrayable,\n  type Context,\n  type Experimental_SandboxSession as SandboxSession,\n  type IdGenerator,\n  type InferToolSetContext,\n  type ModelMessage,\n  type ProviderOptions,\n  type ToolApprovalResponse,\n  type ToolContent,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { ServerResponse } from 'node:http';\nimport { NoOutputGeneratedError } from '../error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport { cloneModelMessages } from '../prompt/clone-model-message';\nimport { createToolModelOutput } from '../prompt/create-tool-model-output';\nimport type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\nimport { prepareToolChoice } from '../prompt/prepare-tool-choice';\nimport { prepareTools } from '../prompt/prepare-tools';\nimport type { Prompt } from '../prompt/prompt';\nimport {\n  getChunkTimeoutMs,\n  getFirstChunkTimeoutMs,\n  getStepTimeoutMs,\n  getTotalTimeoutMs,\n  type RequestOptions,\n  type TimeoutConfiguration,\n} from '../prompt/request-options';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport { wrapGatewayError } from '../prompt/wrap-gateway-error';\nimport type { TelemetryDispatcher } from '../telemetry/telemetry';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport { createTextStreamResponse } from '../text-stream/create-text-stream-response';\nimport { pipeTextStreamToResponse } from '../text-stream/pipe-text-stream-to-response';\nimport { toTextStream } from '../text-stream/to-text-stream';\nimport type { LanguageModelRequestMetadata } from '../types';\nimport type {\n  CallWarning,\n  FinishReason,\n  LanguageModel,\n  ToolChoice,\n} from '../types/language-model';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport {\n  addLanguageModelUsage,\n  createNullLanguageModelUsage,\n  type LanguageModelUsage,\n} from '../types/usage';\nimport type { UIMessage } from '../ui';\nimport { createUIMessageStreamResponse } from '../ui-message-stream/create-ui-message-stream-response';\nimport { pipeUIMessageStreamToResponse } from '../ui-message-stream/pipe-ui-message-stream-to-response';\nimport { toUIMessageStream as toUIMessageStreamHelper } from '../ui-message-stream/to-ui-message-stream';\nimport type { InferUIMessageChunk } from '../ui-message-stream/ui-message-chunks';\nimport type { UIMessageStreamResponseInit } from '../ui-message-stream/ui-message-stream-response-init';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport type { Callback } from '../util/callback';\nimport { consumeStream } from '../util/consume-stream';\nimport { createIdMap } from '../util/create-id-map';\nimport { createStitchableStream } from '../util/create-stitchable-stream';\nimport type { DownloadFunction } from '../util/download/download-function';\nimport { getOwn } from '../util/get-own';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { mergeObjects } from '../util/merge-objects';\nimport { notify } from '../util/notify';\nimport { now as originalNow } from '../util/now';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { setAbortTimeout } from '../util/set-abort-timeout';\nimport type { ActiveTools } from './active-tools';\nimport { collectToolApprovals } from './collect-tool-approvals';\nimport type { ContentPart } from './content-part';\nimport {\n  executeToolsFromStream,\n  type ExecuteToolsStreamPart,\n} from './execute-tools-from-stream';\nimport { executeToolCall } from './execute-tool-call';\nimport {\n  filterActiveTools,\n  type ActiveToolSubset,\n} from './filter-active-tools';\nimport type {\n  GenerateTextOnEndCallback,\n  GenerateTextOnStartCallback,\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n  GenerateTextOnStepStartCallback,\n} from './generate-text-events';\nimport { invokeToolCallbacksFromStream } from './invoke-tool-callbacks-from-stream';\nimport type {\n  OnLanguageModelCallEndCallback,\n  OnLanguageModelCallStartCallback,\n} from './language-model-events';\nimport { text, type Output } from './output';\nimport type {\n  InferCompleteOutput,\n  InferElementOutput,\n  InferPartialOutput,\n} from './output-utils';\nimport type { PrepareStepFunction } from './prepare-step';\nimport { prepareStepCallSettings } from './prepare-step-call-settings';\nimport { convertToReasoningOutputs } from './reasoning-output';\nimport type { ResponseMessage } from './response-message';\nimport { createRestrictedTelemetryDispatcher } from './restricted-telemetry-dispatcher';\nimport {\n  DefaultStepResult,\n  type StepResult,\n  type StepResultPerformance,\n} from './step-result';\nimport {\n  isStepCount,\n  isStopConditionMet,\n  type StopCondition,\n} from './stop-condition';\nimport { streamLanguageModelCall } from './stream-language-model-call';\nimport type {\n  ConsumeStreamOptions,\n  StreamTextResult,\n  TextStreamPart,\n  UIMessageStreamOptions,\n} from './stream-text-result';\nimport { toResponseMessages } from './to-response-messages';\nimport type { ToolApprovalConfiguration } from './tool-approval-configuration';\nimport {\n  prepareToolsForToolCallers,\n  resolveToolCallerConfiguration,\n  type Experimental_ToolCallers,\n} from './tool-caller-configuration';\nimport type { TypedToolCall } from './tool-call';\nimport type { ToolCallRepairFunction } from './tool-call-repair-function';\nimport type {\n  OnToolExecutionEndCallback,\n  OnToolExecutionStartCallback,\n} from './tool-execution-events';\nimport type { ToolInputRefinement } from './tool-input-refinement';\nimport type { ToolOrder } from './tool-order';\nimport type { ToolOutput } from './tool-output';\nimport type { StaticToolOutputDenied } from './tool-output-denied';\nimport type { ToolsContextParameter } from './tools-context-parameter';\nimport { validateApprovedToolApprovals } from './validate-tool-approvals';\n\nconst originalGenerateId = createIdGenerator({\n  prefix: 'aitxt',\n  size: 24,\n});\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\n// Chunk types that contain semantic model output. This classification is used\n// for first-content and inter-content timeouts as well as to distinguish empty\n// incomplete streams from incomplete streams with partial results. It is\n// exhaustive so that new chunk types must be classified explicitly.\nconst isOutputChunkType = {\n  file: true,\n  custom: false,\n  source: false,\n  'text-start': false,\n  'text-end': false,\n  'text-delta': true,\n  'reasoning-start': false,\n  'reasoning-end': false,\n  'reasoning-delta': true,\n  'reasoning-file': true,\n  'tool-input-start': false,\n  'tool-input-end': false,\n  'tool-input-delta': true,\n  'tool-approval-request': false,\n  'tool-approval-response': false,\n  'tool-call': true,\n  'tool-result': false,\n  'tool-error': false,\n  'tool-execution-end': false,\n  'model-call-start': false,\n  'model-call-response-metadata': false,\n  'model-call-end': false,\n  error: false,\n  raw: false,\n} as const satisfies Record<ExecuteToolsStreamPart['type'], boolean>;\n\nfunction isOutputChunk(chunk: ExecuteToolsStreamPart): boolean {\n  if (!isOutputChunkType[chunk.type]) {\n    return false;\n  }\n\n  switch (chunk.type) {\n    case 'text-delta':\n    case 'reasoning-delta':\n      return chunk.text.length > 0;\n    case 'tool-input-delta':\n      return chunk.delta.length > 0;\n    case 'file':\n    case 'reasoning-file':\n    case 'tool-call':\n      return true;\n    default:\n      return false;\n  }\n}\n\nexport type StreamTextInclude = {\n  /**\n   * Whether to retain the request body in step results.\n   * The request body can be large when sending images or files.\n   *\n   * @default false\n   */\n  requestBody?: boolean;\n\n  /**\n   * Whether to retain the request messages in step results.\n   * The request messages can be large when sending images or files.\n   *\n   * @default false\n   */\n  requestMessages?: boolean;\n\n  /**\n   * Whether to include raw chunks from the provider in the stream.\n   *\n   * When enabled, you will receive raw chunks with type 'raw' that contain\n   * the unprocessed data from the provider.\n   *\n   * This allows access to cutting-edge provider features not yet wrapped by\n   * the AI SDK.\n   *\n   * @default false\n   */\n  rawChunks?: boolean;\n};\n\n/**\n * A transformation that is applied to the stream.\n *\n * @param stopStream - A function that stops the source stream.\n * @param tools - The tools that are accessible to and can be called by the model. The model needs to support calling tools.\n */\nexport type StreamTextTransform<TOOLS extends ToolSet> = (options: {\n  tools: TOOLS; // for type inference\n  stopStream: () => void;\n}) => TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>;\n\n/**\n * Callback that is set using the `onError` option.\n *\n * @param event - The event that is passed to the callback.\n */\nexport type StreamTextOnErrorCallback = Callback<{\n  error: unknown;\n}>;\n\n/**\n * Callback that is set using the `onChunk` option.\n *\n * @param event - The event that is passed to the callback.\n */\nexport type StreamTextOnChunkCallback<TOOLS extends ToolSet> = (event: {\n  chunk: TextStreamPart<TOOLS>;\n}) => PromiseLike<void> | void;\n\n/**\n * Callback that is set using the `onAbort` option.\n *\n * @param event - The event that is passed to the callback.\n */\nexport type StreamTextOnAbortCallback<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n> = Callback<{\n  /**\n   * Details for all previously finished steps.\n   */\n  readonly steps: StepResult<TOOLS, RUNTIME_CONTEXT>[];\n}>;\n\n/**\n * Generate a text and call tools for a given prompt using a language model.\n *\n * This function streams the output. If you do not want to stream the output, use `generateText` instead.\n *\n * @param model - The language model to use.\n * @param tools - Tools that are accessible to and can be called by the model. The model needs to support calling tools.\n * @param toolOrder - Controls the order in which tools are sent to the provider. Tools not listed are appended alphabetically.\n *\n * @param system - A system message that will be part of the prompt.\n * @param prompt - A simple text prompt. You can either use `prompt` or `messages` but not both.\n * @param messages - A list of messages. You can either use `prompt` or `messages` but not both.\n * @param allowSystemInMessages - Whether system messages are allowed in the `prompt` or `messages` fields. Default: false.\n *\n * @param maxOutputTokens - Maximum number of tokens to generate.\n * @param temperature - Temperature setting.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topP - Nucleus sampling.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topK - Only sample from the top K options for each subsequent token.\n * Used to remove \"long tail\" low probability responses.\n * Recommended for advanced use cases only. You usually only need to use temperature.\n * @param presencePenalty - Presence penalty setting.\n * It affects the likelihood of the model to repeat information that is already in the prompt.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param frequencyPenalty - Frequency penalty setting.\n * It affects the likelihood of the model to repeatedly use the same words or phrases.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param stopSequences - Stop sequences.\n * If set, the model will stop generating text when one of the stop sequences is generated.\n * @param seed - The seed (integer) to use for random sampling.\n * If set and supported by the model, calls will generate deterministic results.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param timeout - An optional timeout in milliseconds. The call will be aborted if it takes longer than the specified timeout.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param experimental_sandbox - The sandbox environment that is passed through to tool execution.\n * @param runtimeContext - User-defined runtime context that flows through the entire generation lifecycle.\n * @param experimental_refineToolInput - Optional mapping of tool names to functions that refine parsed tool inputs before tools are executed and before outputs, callbacks, and telemetry are recorded.\n *\n * @param onChunk - Callback that is called for each chunk of the stream. The stream processing will pause until the callback promise is resolved.\n * @param onError - Callback that is called when an error occurs during streaming. You can use it to log errors.\n * @param onStart - Callback invoked when generation begins, before any LLM calls.\n * @param experimental_onStart - Deprecated alias for `onStart`.\n * @param onStepStart - Callback invoked when each step begins, before the provider is called.\n * @param experimental_onStepStart - Deprecated alias for `onStepStart`.\n * @param onLanguageModelCallStart - Callback invoked immediately before each provider model call begins.\n * @param experimental_onLanguageModelCallStart - Deprecated alias for `onLanguageModelCallStart`.\n * @param onLanguageModelCallEnd - Callback invoked after each provider model call response is normalized and parsed.\n * @param experimental_onLanguageModelCallEnd - Deprecated alias for `onLanguageModelCallEnd`.\n * @param onToolExecutionStart - Callback invoked before each tool execution begins.\n * @param experimental_onToolCallStart - Deprecated alias for `onToolExecutionStart`.\n * @param onToolExecutionEnd - Callback invoked after each tool execution completes.\n * @param experimental_onToolCallFinish - Deprecated alias for `onToolExecutionEnd`.\n * @param onStepEnd - Callback that is called when each step (LLM call) ends, including intermediate steps.\n * @param onStepFinish - Deprecated alias for `onStepEnd`.\n * @param onEnd - Callback that is called when all steps are finished and the response is complete.\n * @param onFinish - Deprecated alias for `onEnd`.\n *\n * @returns\n * A result object for accessing different stream types and additional information.\n */\nexport function streamText<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = Output<string, string, never>,\n>({\n  model,\n  tools,\n  toolChoice,\n  instructions,\n  system,\n  prompt,\n  messages,\n  allowSystemInMessages,\n  maxRetries,\n  abortSignal,\n  timeout,\n  headers,\n  stopWhen = isStepCount(1),\n  experimental_sandbox: sandbox,\n  output,\n  toolApproval,\n  experimental_toolCallers,\n  experimental_toolApprovalSecret,\n  experimental_telemetry,\n  telemetry = experimental_telemetry,\n  prepareStep,\n  providerOptions,\n  activeTools,\n  toolOrder,\n  experimental_repairToolCall,\n  repairToolCall = experimental_repairToolCall,\n  experimental_refineToolInput: refineToolInput,\n  experimental_transform: transform,\n  experimental_download: download,\n  includeRawChunks,\n  onChunk,\n  onError = ({ error }) => {\n    console.error(error);\n  },\n  onFinish,\n  onEnd = onFinish,\n  onAbort,\n  onStepEnd,\n  onStepFinish,\n  onStart,\n  experimental_onStart,\n  onStepStart,\n  experimental_onStepStart,\n  onLanguageModelCallStart,\n  experimental_onLanguageModelCallStart,\n  onLanguageModelCallEnd,\n  experimental_onLanguageModelCallEnd,\n  onToolExecutionStart,\n  onToolExecutionEnd,\n  experimental_onToolCallStart,\n  experimental_onToolCallFinish,\n  runtimeContext = {} as RUNTIME_CONTEXT,\n  toolsContext = {} as InferToolSetContext<TOOLS>,\n  experimental_include,\n  include = experimental_include,\n  _internal: {\n    now = originalNow,\n    generateId = originalGenerateId,\n    generateCallId = originalGenerateCallId,\n  } = {},\n  ...settings\n}: LanguageModelCallOptions &\n  RequestOptions<TOOLS> &\n  Prompt &\n  ToolsContextParameter<TOOLS> & {\n    /**\n     * The language model to use.\n     */\n    model: LanguageModel;\n\n    /**\n     * The tool choice strategy. Default: 'auto'.\n     */\n    toolChoice?: ToolChoice<TOOLS>;\n\n    /**\n     * Condition for stopping the generation when there are tool results in the last step.\n     * When the condition is an array, any of the conditions can be met to stop the generation.\n     *\n     * @default isStepCount(1)\n     */\n    stopWhen?: Arrayable<StopCondition<NoInfer<TOOLS>, RUNTIME_CONTEXT>>;\n\n    /**\n     * Optional telemetry configuration.\n     */\n    telemetry?: TelemetryOptions<RUNTIME_CONTEXT, NoInfer<TOOLS>>;\n\n    /**\n     * Optional telemetry configuration.\n     *\n     * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n     */\n    experimental_telemetry?: TelemetryOptions<RUNTIME_CONTEXT, NoInfer<TOOLS>>;\n\n    /**\n     * Additional provider-specific options. They are passed through\n     * to the provider from the AI SDK and enable provider-specific\n     * functionality that can be fully encapsulated in the provider.\n     */\n    providerOptions?: ProviderOptions;\n\n    /**\n     * The sandbox environment that is passed through to tool execution.\n     */\n    experimental_sandbox?: SandboxSession;\n\n    /**\n     * Runtime context. Treat runtime context as immutable.\n     * If you need to mutate runtime context, update it in `prepareStep`.\n     */\n    runtimeContext?: RUNTIME_CONTEXT;\n\n    /**\n     * Limits the tools that are available for the model to call without\n     * changing the tool call and result types in the result.\n     */\n    activeTools?: ActiveTools<NoInfer<TOOLS>>;\n\n    /**\n     * Controls the order in which tools are sent to the provider.\n     *\n     * The list can be partial. Tools not listed in `toolOrder` are sent after\n     * the listed tools, sorted alphabetically. This can improve provider-side\n     * caching by keeping tool definitions in a stable order.\n     */\n    toolOrder?: ToolOrder<NoInfer<TOOLS>>;\n\n    /**\n     * Optional specification for parsing structured outputs from the LLM response.\n     */\n    output?: OUTPUT;\n\n    /**\n     * Optional tool approval configuration.\n     *\n     * This configuration takes precedence over tool-defined approval settings.\n     */\n    toolApproval?: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT>;\n\n    /**\n     * Configures which caller tools may invoke each tool.\n     */\n    experimental_toolCallers?: Experimental_ToolCallers<NoInfer<TOOLS>>;\n\n    /**\n     * Secret for HMAC-signing tool approval requests. When set, the server\n     * signs each approval request at issuance and verifies the signature when\n     * the approval is replayed, preventing client-forged approvals.\n     */\n    experimental_toolApprovalSecret?: string | Uint8Array;\n\n    /**\n     * Optional function that you can use to provide different settings for a step.\n     *\n     * @param options - The options for the step.\n     * @param options.steps - The steps that have been executed so far.\n     * @param options.stepNumber - The number of the step that is being executed.\n     * @param options.model - The model that is being used.\n     *\n     * @returns An object that contains the settings for the step.\n     * If you return undefined (or for undefined settings), the settings from the outer level will be used.\n     */\n    prepareStep?: PrepareStepFunction<NoInfer<TOOLS>, RUNTIME_CONTEXT>;\n\n    /**\n     * A function that attempts to repair a tool call that failed to parse.\n     */\n    repairToolCall?: ToolCallRepairFunction<TOOLS>;\n\n    /**\n     * A function that attempts to repair a tool call that failed to parse.\n     *\n     * @deprecated Use `repairToolCall` instead.\n     */\n    experimental_repairToolCall?: ToolCallRepairFunction<TOOLS>;\n\n    /**\n     * Optional mapping of tool names to functions that refine parsed tool inputs.\n     *\n     * The refined input must have the same type shape as the tool input. Refined\n     * inputs are used for tool execution, stream parts, callbacks, and telemetry.\n     */\n    experimental_refineToolInput?: ToolInputRefinement<NoInfer<TOOLS>>;\n\n    /**\n     * Optional stream transformations.\n     * They are applied in the order they are provided.\n     * The stream transformations must maintain the stream structure for streamText to work correctly.\n     */\n    experimental_transform?: Arrayable<StreamTextTransform<TOOLS>>;\n\n    /**\n     * Custom download function to use for URLs.\n     *\n     * By default, files are downloaded if the model does not support the URL for the given media type.\n     */\n    experimental_download?: DownloadFunction | undefined;\n\n    /**\n     * Whether to include raw chunks from the provider in the stream.\n     * When enabled, you will receive raw chunks with type 'raw' that contain the unprocessed data from the provider.\n     * This allows access to cutting-edge provider features not yet wrapped by the AI SDK.\n     * Defaults to false.\n     *\n     * @deprecated Use `include.rawChunks` instead.\n     */\n    includeRawChunks?: boolean;\n\n    /**\n     * Callback that is called for each chunk of the stream.\n     * The stream processing will pause until the callback promise is resolved.\n     */\n    onChunk?: StreamTextOnChunkCallback<TOOLS>;\n\n    /**\n     * Callback that is invoked when an error occurs during streaming.\n     * You can use it to log errors.\n     * The stream processing will pause until the callback promise is resolved.\n     */\n    onError?: StreamTextOnErrorCallback;\n\n    /**\n     * Callback that is called when the LLM response and all request tool executions\n     * (for tools that have an `execute` function) are finished.\n     *\n     * The usage is the combined usage of all steps.\n     */\n    onEnd?: GenerateTextOnEndCallback<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>;\n\n    /**\n     * Callback that is called when the LLM response and all request tool executions\n     * (for tools that have an `execute` function) are finished.\n     *\n     * The usage is the combined usage of all steps.\n     *\n     * @deprecated Use `onEnd` instead.\n     */\n    onFinish?: GenerateTextOnEndCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    onAbort?: StreamTextOnAbortCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Callback that is called when each step (LLM call) ends, including intermediate steps.\n     */\n    onStepEnd?: GenerateTextOnStepEndCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Callback that is called when each step (LLM call) ends, including intermediate steps.\n     *\n     * @deprecated Use `onStepEnd` instead.\n     */\n    onStepFinish?: GenerateTextOnStepFinishCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>\n    >;\n\n    /**\n     * Callback that is called when the streamText operation begins,\n     * before any LLM calls are made.\n     */\n    onStart?: GenerateTextOnStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when the streamText operation begins,\n     * before any LLM calls are made.\n     *\n     * @deprecated Use `onStart` instead.\n     */\n    experimental_onStart?: GenerateTextOnStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when a step (LLM call) begins,\n     * before the provider is called.\n     */\n    onStepStart?: GenerateTextOnStepStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called when a step (LLM call) begins,\n     * before the provider is called.\n     *\n     * @deprecated Use `onStepStart` instead.\n     */\n    experimental_onStepStart?: GenerateTextOnStepStartCallback<\n      NoInfer<TOOLS>,\n      NoInfer<RUNTIME_CONTEXT>,\n      NoInfer<OUTPUT>\n    >;\n\n    /**\n     * Callback that is called immediately before the provider model call begins.\n     */\n    onLanguageModelCallStart?: OnLanguageModelCallStartCallback;\n\n    /**\n     * Callback that is called immediately before the provider model call begins.\n     *\n     * @deprecated Use `onLanguageModelCallStart` instead.\n     */\n    experimental_onLanguageModelCallStart?: OnLanguageModelCallStartCallback;\n\n    /**\n     * Callback that is called after the model response has been normalized and parsed,\n     * but before any client-side tool execution begins.\n     */\n    onLanguageModelCallEnd?: OnLanguageModelCallEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called after the model response has been normalized and parsed,\n     * but before any client-side tool execution begins.\n     *\n     * @deprecated Use `onLanguageModelCallEnd` instead.\n     */\n    experimental_onLanguageModelCallEnd?: OnLanguageModelCallEndCallback<\n      NoInfer<TOOLS>\n    >;\n\n    /**\n     * Callback that is called right before a tool's execute function runs.\n     */\n    onToolExecutionStart?: OnToolExecutionStartCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right before a tool's execute function runs.\n     *\n     * @deprecated Use `onToolExecutionStart` instead.\n     */\n    experimental_onToolCallStart?: OnToolExecutionStartCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right after a tool's execute function completes (or errors).\n     */\n    onToolExecutionEnd?: OnToolExecutionEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Callback that is called right after a tool's execute function completes (or errors).\n     *\n     * @deprecated Use `onToolExecutionEnd` instead.\n     */\n    experimental_onToolCallFinish?: OnToolExecutionEndCallback<NoInfer<TOOLS>>;\n\n    /**\n     * Settings for controlling what data is included in step results.\n     * Disabling inclusion can help reduce memory usage when processing\n     * large payloads like images.\n     *\n     * By default, request bodies and request messages are excluded.\n     */\n    include?: StreamTextInclude;\n\n    /**\n     * Settings for controlling what data is included in step results.\n     *\n     * @deprecated Use `include` instead.\n     */\n    experimental_include?: StreamTextInclude;\n\n    /**\n     * Internal. For test use only. May change without notice.\n     */\n    _internal?: {\n      now?: () => number;\n      generateId?: IdGenerator;\n      generateCallId?: IdGenerator;\n    };\n  }): StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT> {\n  const totalTimeoutMs = getTotalTimeoutMs(timeout);\n  const stepTimeoutMs = getStepTimeoutMs(timeout);\n  const firstChunkTimeoutMs = getFirstChunkTimeoutMs(timeout);\n  const chunkTimeoutMs = getChunkTimeoutMs(timeout);\n  const stepAbortController =\n    stepTimeoutMs != null ? new AbortController() : undefined;\n  const firstChunkAbortController =\n    firstChunkTimeoutMs != null ? new AbortController() : undefined;\n  const chunkAbortController =\n    chunkTimeoutMs != null ? new AbortController() : undefined;\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnStepStart = onStepStart ?? experimental_onStepStart;\n  const resolvedOnLanguageModelCallStart =\n    onLanguageModelCallStart ?? experimental_onLanguageModelCallStart;\n  const resolvedOnLanguageModelCallEnd =\n    onLanguageModelCallEnd ?? experimental_onLanguageModelCallEnd;\n  const resolvedOnToolExecutionStart =\n    onToolExecutionStart ?? experimental_onToolCallStart;\n  const resolvedOnToolExecutionEnd =\n    onToolExecutionEnd ?? experimental_onToolCallFinish;\n  const resolvedOnStepEnd = onStepEnd ?? onStepFinish;\n  return new DefaultStreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>({\n    model: resolveLanguageModel(model),\n    telemetry,\n    headers,\n    settings,\n    maxRetries,\n    abortSignal: mergeAbortSignals(\n      abortSignal,\n      totalTimeoutMs,\n      stepAbortController?.signal,\n      firstChunkAbortController?.signal,\n      chunkAbortController?.signal,\n    ),\n    stepTimeoutMs,\n    stepAbortController,\n    firstChunkTimeoutMs,\n    firstChunkAbortController,\n    chunkTimeoutMs,\n    chunkAbortController,\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    experimental_sandbox: sandbox,\n    tools,\n    toolsContext,\n    runtimeContext,\n    toolChoice,\n    transforms: asArray(transform),\n    activeTools,\n    toolOrder,\n    repairToolCall,\n    refineToolInput,\n    stopConditions: asArray(stopWhen),\n    output,\n    toolApproval,\n    experimental_toolCallers,\n    experimental_toolApprovalSecret,\n    providerOptions,\n    prepareStep,\n    timeout,\n    onChunk,\n    onError,\n    onEnd,\n    onAbort,\n    onStepFinish: resolvedOnStepEnd,\n    onStart: resolvedOnStart,\n    onStepStart: resolvedOnStepStart,\n    onLanguageModelCallStart: resolvedOnLanguageModelCallStart,\n    onLanguageModelCallEnd: resolvedOnLanguageModelCallEnd,\n    onToolExecutionStart: resolvedOnToolExecutionStart,\n    onToolExecutionEnd: resolvedOnToolExecutionEnd,\n    now,\n    generateId,\n    generateCallId,\n    download,\n\n    // assign default values to include:\n    include: {\n      requestBody: include?.requestBody ?? false,\n      requestMessages: include?.requestMessages ?? false,\n      rawChunks: include?.rawChunks ?? includeRawChunks ?? false,\n    },\n  });\n}\n\nexport type EnrichedStreamPart<TOOLS extends ToolSet, PARTIAL_OUTPUT> = {\n  part: TextStreamPart<TOOLS>;\n  partialOutput: PARTIAL_OUTPUT | undefined;\n};\n\nasync function markPromiseAsHandled<T>(promise: Promise<T>): Promise<void> {\n  try {\n    await promise;\n  } catch {}\n}\n\nfunction createOutputTransformStream<\n  TOOLS extends ToolSet,\n  OUTPUT extends Output,\n>(\n  output: OUTPUT,\n): TransformStream<\n  TextStreamPart<TOOLS>,\n  EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>\n> {\n  let firstTextChunkId: string | undefined = undefined;\n  let text = '';\n  let textChunk = '';\n  let textProviderMetadata: ProviderMetadata | undefined = undefined;\n  let lastPublishedValue = '';\n\n  function publishTextChunk({\n    controller,\n    partialOutput = undefined,\n  }: {\n    controller: TransformStreamDefaultController<\n      EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>\n    >;\n    partialOutput?: InferPartialOutput<OUTPUT>;\n  }) {\n    controller.enqueue({\n      part: {\n        type: 'text-delta',\n        id: firstTextChunkId!,\n        text: textChunk,\n        providerMetadata: textProviderMetadata,\n      },\n      partialOutput,\n    });\n    textChunk = '';\n  }\n\n  return new TransformStream<\n    TextStreamPart<TOOLS>,\n    EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>\n  >({\n    async transform(chunk, controller) {\n      // ensure that we publish the last text chunk before the step finish:\n      if (chunk.type === 'finish-step' && textChunk.length > 0) {\n        publishTextChunk({ controller });\n      }\n\n      if (\n        chunk.type !== 'text-delta' &&\n        chunk.type !== 'text-start' &&\n        chunk.type !== 'text-end'\n      ) {\n        controller.enqueue({ part: chunk, partialOutput: undefined });\n        return;\n      }\n\n      // we have to pick a text chunk which contains the json text\n      // since we are streaming, we have to pick the first text chunk\n      if (firstTextChunkId == null) {\n        firstTextChunkId = chunk.id;\n      } else if (chunk.id !== firstTextChunkId) {\n        controller.enqueue({ part: chunk, partialOutput: undefined });\n        return;\n      }\n\n      if (chunk.type === 'text-start') {\n        controller.enqueue({ part: chunk, partialOutput: undefined });\n        return;\n      }\n\n      if (chunk.type === 'text-end') {\n        if (textChunk.length > 0) {\n          publishTextChunk({ controller });\n        }\n        controller.enqueue({ part: chunk, partialOutput: undefined });\n        return;\n      }\n\n      text += chunk.text;\n      textChunk += chunk.text;\n      textProviderMetadata = chunk.providerMetadata ?? textProviderMetadata;\n\n      if (chunk.text.length === 0 && chunk.providerMetadata != null) {\n        controller.enqueue({ part: chunk, partialOutput: undefined });\n        return;\n      }\n\n      // only publish if partial json can be parsed:\n      const result = await output.parsePartialOutput({ text });\n\n      // null should be allowed (valid JSON value) but undefined should not:\n      if (result !== undefined) {\n        // only send new value if it has changed:\n        // For string partials (text output), compare directly to avoid unnecessary JSON.stringify overhead\n        const currentValue =\n          typeof result.partial === 'string'\n            ? result.partial\n            : JSON.stringify(result.partial);\n        if (currentValue !== lastPublishedValue) {\n          publishTextChunk({ controller, partialOutput: result.partial });\n          lastPublishedValue = currentValue;\n        }\n      }\n    },\n  });\n}\n\nclass DefaultStreamTextResult<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n  OUTPUT extends Output,\n> implements StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT> {\n  private readonly _totalUsage = new DelayedPromise<\n    Awaited<StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['usage']>\n  >();\n  private readonly _finishReason = new DelayedPromise<\n    Awaited<StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['finishReason']>\n  >();\n  private readonly _rawFinishReason = new DelayedPromise<\n    Awaited<StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['rawFinishReason']>\n  >();\n  private readonly _steps = new DelayedPromise<\n    Awaited<StreamTextResult<TOOLS, RUNTIME_CONTEXT, OUTPUT>['steps']>\n  >();\n  private readonly _initialResponseMessages = new DelayedPromise<\n    Array<ResponseMessage>\n  >();\n\n  private readonly addStream: (\n    stream: ReadableStream<TextStreamPart<TOOLS>>,\n    callbacks?: {\n      onError?: (error: unknown) => void;\n      onCancel?: () => void;\n    },\n  ) => void;\n\n  private readonly closeStream: () => void;\n\n  private baseStream: ReadableStream<\n    EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>\n  >;\n\n  private outputSpecification: OUTPUT | undefined;\n\n  private tools: TOOLS | undefined;\n\n  constructor({\n    model,\n    telemetry,\n    headers,\n    settings,\n    maxRetries: maxRetriesArg,\n    abortSignal,\n    stepTimeoutMs,\n    stepAbortController,\n    firstChunkTimeoutMs,\n    firstChunkAbortController,\n    chunkTimeoutMs,\n    chunkAbortController,\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    experimental_sandbox: sandbox,\n    tools,\n    toolChoice,\n    transforms,\n    activeTools,\n    toolOrder,\n    repairToolCall,\n    refineToolInput,\n    stopConditions,\n    output,\n    toolApproval,\n    experimental_toolCallers,\n    experimental_toolApprovalSecret,\n    providerOptions,\n    prepareStep,\n    now,\n    generateId,\n    generateCallId,\n    timeout,\n    onChunk,\n    onError,\n    onEnd,\n    onAbort,\n    onStepFinish,\n    onStart,\n    onStepStart,\n    onLanguageModelCallStart,\n    onLanguageModelCallEnd,\n    onToolExecutionStart,\n    onToolExecutionEnd,\n    runtimeContext,\n    toolsContext,\n    download,\n    include,\n  }: {\n    model: LanguageModelV4;\n    telemetry: TelemetryOptions<RUNTIME_CONTEXT, TOOLS> | undefined;\n    headers: Record<string, string | undefined> | undefined;\n    settings: LanguageModelCallOptions;\n    maxRetries: number | undefined;\n    abortSignal: AbortSignal | undefined;\n    stepTimeoutMs: number | undefined;\n    stepAbortController: AbortController | undefined;\n    firstChunkTimeoutMs: number | undefined;\n    firstChunkAbortController: AbortController | undefined;\n    chunkTimeoutMs: number | undefined;\n    chunkAbortController: AbortController | undefined;\n    toolsContext: InferToolSetContext<TOOLS>;\n    runtimeContext: RUNTIME_CONTEXT;\n    instructions: Prompt['instructions'];\n    system: Prompt['system'];\n    prompt: Prompt['prompt'];\n    messages: Prompt['messages'];\n    allowSystemInMessages: Prompt['allowSystemInMessages'];\n    experimental_sandbox: SandboxSession | undefined;\n    tools: TOOLS | undefined;\n    toolChoice: ToolChoice<TOOLS> | undefined;\n    transforms: Array<StreamTextTransform<TOOLS>>;\n    activeTools: ActiveTools<TOOLS>;\n    toolOrder: ToolOrder<TOOLS>;\n    repairToolCall: ToolCallRepairFunction<TOOLS> | undefined;\n    refineToolInput: ToolInputRefinement<TOOLS> | undefined;\n    stopConditions: Array<\n      StopCondition<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>\n    >;\n    output: OUTPUT | undefined;\n    toolApproval: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT> | undefined;\n    experimental_toolCallers: Experimental_ToolCallers<TOOLS> | undefined;\n    experimental_toolApprovalSecret: string | Uint8Array | undefined;\n    providerOptions: ProviderOptions | undefined;\n    prepareStep:\n      | PrepareStepFunction<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>\n      | undefined;\n    now: () => number;\n    generateId: () => string;\n    generateCallId: () => string;\n    timeout: TimeoutConfiguration<TOOLS> | undefined;\n    download: DownloadFunction | undefined;\n    include: Required<StreamTextInclude>;\n\n    // callbacks:\n    onChunk: undefined | StreamTextOnChunkCallback<TOOLS>;\n    onError: StreamTextOnErrorCallback;\n    onEnd:\n      | undefined\n      | GenerateTextOnEndCallback<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>;\n    onAbort:\n      | undefined\n      | StreamTextOnAbortCallback<NoInfer<TOOLS>, NoInfer<RUNTIME_CONTEXT>>;\n    onStepFinish:\n      | undefined\n      | GenerateTextOnStepFinishCallback<\n          NoInfer<TOOLS>,\n          NoInfer<RUNTIME_CONTEXT>\n        >;\n    onStart:\n      | undefined\n      | GenerateTextOnStartCallback<\n          NoInfer<TOOLS>,\n          NoInfer<RUNTIME_CONTEXT>,\n          NoInfer<OUTPUT>\n        >;\n    onStepStart:\n      | undefined\n      | GenerateTextOnStepStartCallback<\n          NoInfer<TOOLS>,\n          NoInfer<RUNTIME_CONTEXT>,\n          NoInfer<OUTPUT>\n        >;\n    onLanguageModelCallStart: undefined | OnLanguageModelCallStartCallback;\n    onLanguageModelCallEnd:\n      | undefined\n      | OnLanguageModelCallEndCallback<NoInfer<TOOLS>>;\n    onToolExecutionStart: undefined | OnToolExecutionStartCallback<TOOLS>;\n    onToolExecutionEnd: undefined | OnToolExecutionEndCallback<TOOLS>;\n  }) {\n    this.outputSpecification = output;\n    this.tools = tools;\n    const resolvedToolCallers = resolveToolCallerConfiguration({\n      tools,\n      toolCallers: experimental_toolCallers,\n    });\n\n    const telemetryDispatcher = createRestrictedTelemetryDispatcher<\n      TOOLS,\n      RUNTIME_CONTEXT,\n      OUTPUT\n    >({\n      telemetry,\n      includeRuntimeContext: telemetry?.includeRuntimeContext,\n      includeToolsContext: telemetry?.includeToolsContext,\n    });\n\n    // promise to ensure that the step has been fully processed by the event processor\n    // before a new step is started. This is required because the continuation condition\n    // needs the updated steps to determine if another step is needed.\n    let stepFinish!: DelayedPromise<void>;\n\n    let recordedContent: Array<ContentPart<TOOLS>> = [];\n    let recordedFinishReason: FinishReason | undefined = undefined;\n    let recordedRawFinishReason: string | undefined = undefined;\n    let recordedTotalUsage: LanguageModelUsage | undefined = undefined;\n    let recordedRequest: Omit<LanguageModelRequestMetadata, 'messages'> = {};\n    let recordedRequestMessages: Array<ModelMessage> = [];\n    let recordedWarnings: Array<CallWarning> = [];\n    const recordedSteps: StepResult<TOOLS, RUNTIME_CONTEXT>[] = [];\n    const initialResponseMessages: Array<ResponseMessage> = [];\n    let stepMessagesForNextStep: Array<ModelMessage> | undefined;\n    let currentStepMessages: Array<ModelMessage> = [];\n\n    // provider-assigned text/reasoning part IDs are only unique within a\n    // single model call (e.g. Anthropic uses the content block index, which\n    // restarts at 0 for every call), so colliding IDs are remapped to keep\n    // them unique across the whole multi-step stream:\n    const createPartIdReserver = () => {\n      const usedIds = new Set<string>();\n\n      return (id: string) => {\n        if (!usedIds.has(id)) {\n          usedIds.add(id);\n          return id;\n        }\n\n        const generatedId = generateId();\n        let uniqueId = generatedId;\n        let suffix = 0;\n\n        while (usedIds.has(uniqueId)) {\n          uniqueId = `${generatedId}-${++suffix}`;\n        }\n\n        usedIds.add(uniqueId);\n        return uniqueId;\n      };\n    };\n\n    const reserveTextPartId = createPartIdReserver();\n    const reserveReasoningPartId = createPartIdReserver();\n\n    // Track provider-executed tool calls that support deferred results\n    // (e.g., code_execution in programmatic tool calling scenarios).\n    // These tools may not return their results in the same turn as their call.\n    const pendingDeferredToolCalls = new Map<string, { toolName: string }>();\n\n    let activeTextContent: Record<\n      string,\n      {\n        type: 'text';\n        text: string;\n        providerMetadata: ProviderMetadata | undefined;\n      }\n    > = createIdMap();\n\n    let activeReasoningContent: Record<\n      string,\n      {\n        type: 'reasoning';\n        text: string;\n        providerMetadata: ProviderMetadata | undefined;\n      }\n    > = createIdMap();\n    let recordedNoOutputError: NoOutputGeneratedError | undefined;\n\n    const eventProcessor = new TransformStream<\n      EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>,\n      EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>\n    >({\n      async transform(chunk, controller) {\n        controller.enqueue(chunk); // forward the chunk to the next stream\n\n        const { part } = chunk;\n\n        await notify({\n          event: { chunk: part },\n          callbacks: onChunk,\n        });\n\n        if (part.type === 'error') {\n          const error = wrapGatewayError(part.error);\n\n          if (NoOutputGeneratedError.isInstance(error)) {\n            recordedNoOutputError = error;\n          }\n\n          await notify({\n            event: { error },\n            callbacks: onError,\n          });\n        }\n\n        if (\n          part.type === 'custom' ||\n          part.type === 'source' ||\n          part.type === 'tool-call' ||\n          part.type === 'tool-approval-request' ||\n          part.type === 'tool-approval-response' ||\n          part.type === 'tool-error'\n        ) {\n          recordedContent.push(part);\n        }\n\n        if (part.type === 'text-start') {\n          activeTextContent[part.id] = {\n            type: 'text',\n            text: '',\n            providerMetadata: part.providerMetadata,\n          };\n\n          recordedContent.push(activeTextContent[part.id]);\n        }\n\n        if (part.type === 'text-delta') {\n          const activeText = activeTextContent[part.id];\n\n          if (activeText == null) {\n            controller.enqueue({\n              part: {\n                type: 'error',\n                error: `text part ${part.id} not found`,\n              },\n              partialOutput: undefined,\n            });\n            return;\n          }\n\n          activeText.text += part.text;\n          activeText.providerMetadata =\n            part.providerMetadata ?? activeText.providerMetadata;\n        }\n\n        if (part.type === 'text-end') {\n          const activeText = activeTextContent[part.id];\n\n          if (activeText == null) {\n            controller.enqueue({\n              part: {\n                type: 'error',\n                error: `text part ${part.id} not found`,\n              },\n              partialOutput: undefined,\n            });\n            return;\n          }\n\n          activeText.providerMetadata =\n            part.providerMetadata ?? activeText.providerMetadata;\n\n          delete activeTextContent[part.id];\n        }\n\n        if (part.type === 'reasoning-start') {\n          activeReasoningContent[part.id] = {\n            type: 'reasoning',\n            text: '',\n            providerMetadata: part.providerMetadata,\n          };\n\n          recordedContent.push(activeReasoningContent[part.id]);\n        }\n\n        if (part.type === 'reasoning-delta') {\n          const activeReasoning = activeReasoningContent[part.id];\n\n          if (activeReasoning == null) {\n            controller.enqueue({\n              part: {\n                type: 'error',\n                error: `reasoning part ${part.id} not found`,\n              },\n              partialOutput: undefined,\n            });\n            return;\n          }\n\n          activeReasoning.text += part.text;\n          activeReasoning.providerMetadata =\n            part.providerMetadata ?? activeReasoning.providerMetadata;\n        }\n\n        if (part.type === 'reasoning-end') {\n          const activeReasoning = activeReasoningContent[part.id];\n\n          if (activeReasoning == null) {\n            controller.enqueue({\n              part: {\n                type: 'error',\n                error: `reasoning part ${part.id} not found`,\n              },\n              partialOutput: undefined,\n            });\n            return;\n          }\n\n          activeReasoning.providerMetadata =\n            part.providerMetadata ?? activeReasoning.providerMetadata;\n\n          delete activeReasoningContent[part.id];\n        }\n\n        if (part.type === 'file' || part.type === 'reasoning-file') {\n          recordedContent.push({\n            type: part.type,\n            file: part.file,\n            ...(part.providerMetadata != null\n              ? { providerMetadata: part.providerMetadata }\n              : {}),\n          });\n        }\n\n        if (part.type === 'tool-result' && !part.preliminary) {\n          recordedContent.push(part);\n        }\n\n        if (part.type === 'start-step') {\n          // reset the recorded data when a new step starts:\n          recordedContent = [];\n          activeReasoningContent = createIdMap();\n          activeTextContent = createIdMap();\n\n          recordedRequest = part.request;\n          recordedWarnings = part.warnings;\n        }\n\n        if (part.type === 'finish-step') {\n          const stepResponseMessages = await toResponseMessages({\n            content: recordedContent,\n            tools,\n          });\n\n          // Add step information (after response messages are updated):\n          const currentStepResult: StepResult<TOOLS, RUNTIME_CONTEXT> =\n            new DefaultStepResult({\n              callId,\n              stepNumber: recordedSteps.length,\n              provider: model.provider,\n              modelId: model.modelId,\n              runtimeContext,\n              toolsContext,\n              content: recordedContent,\n              finishReason: part.finishReason,\n              rawFinishReason: part.rawFinishReason,\n              usage: part.usage,\n              performance: part.performance,\n              warnings: recordedWarnings,\n              request: {\n                ...recordedRequest,\n                messages: include.requestMessages\n                  ? cloneModelMessages(recordedRequestMessages)\n                  : undefined,\n              },\n              response: {\n                ...part.response,\n                messages: cloneModelMessages(stepResponseMessages),\n              },\n              providerMetadata: part.providerMetadata,\n            });\n\n          await notify({\n            event: currentStepResult,\n            callbacks: [onStepFinish, telemetryDispatcher.onStepEnd],\n          });\n\n          logWarnings({\n            warnings: recordedWarnings,\n            provider: model.provider,\n            model: model.modelId,\n          });\n\n          recordedSteps.push(currentStepResult);\n          stepMessagesForNextStep = [\n            ...currentStepMessages,\n            ...stepResponseMessages,\n          ];\n\n          // resolve the promise to signal that the step has been fully processed\n          // by the event processor:\n          stepFinish.resolve();\n        }\n\n        if (part.type === 'finish') {\n          recordedTotalUsage = part.totalUsage;\n          recordedFinishReason = part.finishReason;\n          recordedRawFinishReason = part.rawFinishReason;\n        }\n      },\n\n      async flush(controller) {\n        try {\n          // reject when no output was generated or an incomplete model stream\n          // ended a continuation step:\n          if (recordedSteps.length === 0 || recordedNoOutputError != null) {\n            const error = abortSignal?.aborted\n              ? abortSignal.reason\n              : (recordedNoOutputError ??\n                new NoOutputGeneratedError({\n                  message: 'No output generated. Check the stream for errors.',\n                }));\n\n            self.rejectResultPromises(error);\n\n            return; // no steps recorded (e.g. in error scenario)\n          }\n\n          // derived:\n          const finishReason = recordedFinishReason ?? 'other';\n          const totalUsage =\n            recordedTotalUsage ?? createNullLanguageModelUsage();\n\n          // from finish:\n          self._finishReason.resolve(finishReason);\n          self._rawFinishReason.resolve(recordedRawFinishReason);\n          self._totalUsage.resolve(totalUsage);\n\n          // aggregate results:\n          self._steps.resolve(recordedSteps);\n\n          // call onEnd callback:\n          const finalStep = recordedSteps[recordedSteps.length - 1];\n          const content = recordedSteps.flatMap(step => step.content);\n          const files = recordedSteps.flatMap(step => step.files);\n          const sources = recordedSteps.flatMap(step => step.sources);\n          const toolCalls = recordedSteps.flatMap(step => step.toolCalls);\n          const staticToolCalls = recordedSteps.flatMap(\n            step => step.staticToolCalls,\n          );\n          const dynamicToolCalls = recordedSteps.flatMap(\n            step => step.dynamicToolCalls,\n          );\n          const toolResults = recordedSteps.flatMap(step => step.toolResults);\n          const staticToolResults = recordedSteps.flatMap(\n            step => step.staticToolResults,\n          );\n          const dynamicToolResults = recordedSteps.flatMap(\n            step => step.dynamicToolResults,\n          );\n          const warnings = recordedSteps.flatMap(step => step.warnings ?? []);\n\n          await notify({\n            event: {\n              callId,\n              toolsContext: finalStep.toolsContext,\n              stepNumber: finalStep.stepNumber,\n              model: finalStep.model,\n              runtimeContext: finalStep.runtimeContext,\n              finishReason: finalStep.finishReason,\n              rawFinishReason: finalStep.rawFinishReason,\n              usage: totalUsage,\n              totalUsage,\n              content,\n              text: finalStep.text,\n              reasoning: finalStep.reasoning,\n              reasoningText: finalStep.reasoningText,\n              files,\n              sources,\n              toolCalls,\n              staticToolCalls,\n              dynamicToolCalls,\n              toolResults,\n              staticToolResults,\n              dynamicToolResults,\n              responseMessages: [\n                ...initialResponseMessages,\n                ...recordedSteps.flatMap(step => step.response.messages),\n              ],\n              warnings,\n              request: finalStep.request,\n              response: finalStep.response,\n              providerMetadata: finalStep.providerMetadata,\n              steps: recordedSteps,\n              finalStep,\n            },\n            callbacks: [onEnd, telemetryDispatcher.onEnd],\n          });\n        } catch (error) {\n          controller.error(error);\n        }\n      },\n    });\n\n    // initialize the stitchable stream and the transformed stream:\n    const stitchableStream = createStitchableStream<TextStreamPart<TOOLS>>();\n    this.addStream = stitchableStream.addStream;\n    this.closeStream = stitchableStream.close;\n\n    // resilient stream that handles abort signals and errors:\n    const reader = stitchableStream.stream.getReader();\n    let stream = new ReadableStream<TextStreamPart<TOOLS>>({\n      async start(controller) {\n        // send start event:\n        controller.enqueue({ type: 'start' });\n      },\n\n      async pull(controller) {\n        // abort handling:\n        async function abort() {\n          await notify({\n            event: {\n              callId,\n              steps: recordedSteps,\n              ...(abortSignal?.reason !== undefined\n                ? { reason: abortSignal.reason }\n                : {}),\n            },\n            callbacks: [onAbort, telemetryDispatcher.onAbort],\n          });\n          controller.enqueue({\n            type: 'abort',\n            // The `reason` is usually of type DOMException, but it can also be of any type,\n            // so we use getErrorMessage for serialization because it is already designed to accept values of the unknown type.\n            // See: https://developer.mozilla.org/en-US/docs/Web/API/AbortSignal/reason\n            ...(abortSignal?.reason !== undefined\n              ? { reason: getErrorMessage(abortSignal.reason) }\n              : {}),\n          });\n          controller.close();\n        }\n\n        try {\n          const { done, value } = await reader.read();\n\n          if (done) {\n            controller.close();\n            return;\n          }\n\n          if (abortSignal?.aborted) {\n            await abort();\n            return;\n          }\n\n          controller.enqueue(value);\n        } catch (error) {\n          if (isAbortError(error) && abortSignal?.aborted) {\n            await abort();\n          } else {\n            controller.error(error);\n          }\n        }\n      },\n\n      cancel(reason) {\n        return stitchableStream.stream.cancel(reason);\n      },\n    });\n\n    // introduce a gate that prevent further tokens from\n    // being emitted after a transform calls stopStream\n    let isRunning = true;\n    stream = stream.pipeThrough(\n      new TransformStream({\n        async transform(chunk, controller) {\n          if (isRunning) {\n            controller.enqueue(chunk);\n          }\n        },\n      }),\n    );\n\n    // transform the stream before output parsing\n    // to enable replacement of stream segments:\n    for (const transform of transforms) {\n      stream = stream.pipeThrough(\n        transform({\n          tools: tools as TOOLS,\n          stopStream() {\n            stitchableStream.terminate();\n            isRunning = false;\n          },\n        }),\n      );\n    }\n\n    this.baseStream = stream\n      .pipeThrough(createOutputTransformStream(output ?? text()))\n      .pipeThrough(eventProcessor);\n\n    const { maxRetries } = prepareRetries({\n      maxRetries: maxRetriesArg,\n      abortSignal,\n    });\n\n    const callSettings = prepareLanguageModelCallOptions(settings);\n\n    const self = this;\n\n    const callId = generateCallId();\n\n    (async () => {\n      const initialPrompt = await standardizePrompt({\n        instructions,\n        system,\n        prompt,\n        messages,\n        allowSystemInMessages,\n      } as Prompt);\n\n      const startEvent = {\n        callId,\n        operationId: 'ai.streamText',\n        provider: model.provider,\n        modelId: model.modelId,\n        instructions: initialPrompt.instructions,\n        messages: initialPrompt.messages,\n        tools,\n        toolChoice,\n        activeTools,\n        toolOrder,\n        maxOutputTokens: callSettings.maxOutputTokens,\n        temperature: callSettings.temperature,\n        topP: callSettings.topP,\n        topK: callSettings.topK,\n        presencePenalty: callSettings.presencePenalty,\n        frequencyPenalty: callSettings.frequencyPenalty,\n        stopSequences: callSettings.stopSequences,\n        seed: callSettings.seed,\n        reasoning: callSettings.reasoning,\n        maxRetries,\n        timeout,\n        headers,\n        providerOptions,\n        output,\n        runtimeContext,\n        toolsContext,\n      };\n\n      const streamTextTracingChannelContext =\n        telemetryDispatcher.startTracingChannelContext?.({\n          type: 'streamText',\n          event: startEvent,\n          completion: self._totalUsage.promise.then(() => undefined),\n        });\n      // Re-enter the streamText tracing context after stream setup returns.\n      const runInStreamTextTracingChannelContext = <T>(execute: () => T): T =>\n        streamTextTracingChannelContext?.run(execute) ?? execute();\n      const runInTracingChannelSpanInStreamText =\n        telemetryDispatcher.runInTracingChannelSpan == null\n          ? undefined\n          : <T>(\n              options: Parameters<\n                NonNullable<TelemetryDispatcher['runInTracingChannelSpan']>\n              >[0] & {\n                execute: () => PromiseLike<T>;\n              },\n            ) =>\n              runInStreamTextTracingChannelContext(() =>\n                telemetryDispatcher.runInTracingChannelSpan!(options),\n              );\n\n      await notify({\n        event: startEvent,\n        callbacks: [onStart, telemetryDispatcher.onStart],\n      });\n\n      const initialMessages = initialPrompt.messages;\n      let instructionsForNextStep = initialPrompt.instructions;\n\n      const { approvedToolApprovals, deniedToolApprovals } =\n        collectToolApprovals<TOOLS>({ messages: initialMessages });\n\n      // initial tool execution step stream\n      if (deniedToolApprovals.length > 0 || approvedToolApprovals.length > 0) {\n        const {\n          approvedToolApprovals: localApprovedToolApprovals,\n          deniedToolApprovals: revalidationDeniedToolApprovals,\n          invalidToolApprovals,\n        } = await validateApprovedToolApprovals<TOOLS, RUNTIME_CONTEXT>({\n          approvedToolApprovals: approvedToolApprovals.filter(\n            toolApproval => !toolApproval.toolCall.providerExecuted,\n          ),\n          tools,\n          toolApproval,\n          messages: initialMessages,\n          toolsContext,\n          runtimeContext,\n          toolApprovalSecret: experimental_toolApprovalSecret,\n        });\n\n        const localDeniedToolApprovals = [\n          ...deniedToolApprovals.filter(\n            toolApproval => !toolApproval.toolCall.providerExecuted,\n          ),\n          ...revalidationDeniedToolApprovals,\n        ];\n        const localDeniedToolApprovalsWithoutResults =\n          localDeniedToolApprovals.filter(\n            toolApproval => toolApproval.existingToolResult == null,\n          );\n\n        const deniedProviderExecutedToolApprovals = deniedToolApprovals.filter(\n          toolApproval => toolApproval.toolCall.providerExecuted,\n        );\n\n        let toolExecutionStepStreamController:\n          | ReadableStreamDefaultController<TextStreamPart<TOOLS>>\n          | undefined;\n        const toolExecutionStepStream = new ReadableStream<\n          TextStreamPart<TOOLS>\n        >({\n          start(controller) {\n            toolExecutionStepStreamController = controller;\n          },\n        });\n\n        self.addStream(toolExecutionStepStream);\n\n        try {\n          for (const toolApproval of [\n            ...localDeniedToolApprovals,\n            ...deniedProviderExecutedToolApprovals,\n          ]) {\n            toolExecutionStepStreamController?.enqueue({\n              type: 'tool-output-denied',\n              toolCallId: toolApproval.toolCall.toolCallId,\n              toolName: toolApproval.toolCall.toolName,\n            } as StaticToolOutputDenied<TOOLS>);\n          }\n\n          for (const toolApproval of invalidToolApprovals) {\n            toolExecutionStepStreamController?.enqueue({\n              type: 'tool-error',\n              toolCallId: toolApproval.toolCall.toolCallId,\n              toolName: toolApproval.toolCall.toolName,\n              input: toolApproval.toolCall.input,\n              error: getErrorMessage(toolApproval.error),\n              title: toolApproval.toolCall.title,\n              ...(toolApproval.toolCall.dynamic === true\n                ? { dynamic: true as const }\n                : {}),\n              ...(toolApproval.toolCall.toolMetadata != null\n                ? { toolMetadata: toolApproval.toolCall.toolMetadata }\n                : {}),\n            } as TextStreamPart<TOOLS>);\n          }\n\n          const toolOutputs: Array<ToolOutput<TOOLS>> = [];\n\n          await Promise.all(\n            localApprovedToolApprovals.map(async toolApproval => {\n              const result = await executeToolCall({\n                toolCall: toolApproval.toolCall,\n                tools,\n                callId,\n                messages: initialMessages,\n                abortSignal,\n                timeout,\n                experimental_sandbox: sandbox,\n                toolsContext,\n                onToolExecutionStart: filterNullable(\n                  onToolExecutionStart,\n                  telemetryDispatcher.onToolExecutionStart,\n                ),\n                onToolExecutionEnd: filterNullable(\n                  onToolExecutionEnd,\n                  telemetryDispatcher.onToolExecutionEnd,\n                ),\n                executeToolInTelemetryContext: telemetryDispatcher.executeTool,\n                runInTracingChannelSpan: runInTracingChannelSpanInStreamText,\n                onPreliminaryToolResult: result => {\n                  toolExecutionStepStreamController?.enqueue(result);\n                },\n              });\n\n              if (result != null) {\n                toolExecutionStepStreamController?.enqueue(result.output);\n                toolOutputs.push(result.output);\n              }\n            }),\n          );\n\n          // Local tool results (approved + denied) are sent as tool results:\n          if (\n            toolOutputs.length > 0 ||\n            localDeniedToolApprovalsWithoutResults.length > 0 ||\n            invalidToolApprovals.length > 0\n          ) {\n            const localToolContent: ToolContent = [];\n\n            // add regular tool results for approved tool calls:\n            for (const output of toolOutputs) {\n              localToolContent.push({\n                type: 'tool-result' as const,\n                toolCallId: output.toolCallId,\n                toolName: output.toolName,\n                output: await createToolModelOutput({\n                  toolCallId: output.toolCallId,\n                  input: output.input,\n                  tool: getOwn(tools, output.toolName),\n                  output:\n                    output.type === 'tool-result'\n                      ? output.output\n                      : output.error,\n                  errorMode: output.type === 'tool-error' ? 'text' : 'none',\n                }),\n              });\n            }\n\n            // Report invalid approved tool calls to the model without\n            // executing them. Repairing the input after approval would change\n            // the operation that the user authorized.\n            for (const toolApproval of invalidToolApprovals) {\n              localToolContent.push({\n                type: 'tool-result' as const,\n                toolCallId: toolApproval.toolCall.toolCallId,\n                toolName: toolApproval.toolCall.toolName,\n                output: await createToolModelOutput({\n                  toolCallId: toolApproval.toolCall.toolCallId,\n                  input: toolApproval.toolCall.input,\n                  tool: getOwn(tools, toolApproval.toolCall.toolName),\n                  output: toolApproval.error,\n                  errorMode: 'text',\n                }),\n              });\n            }\n\n            // add execution denied tool results for denied local tool approvals:\n            for (const toolApproval of localDeniedToolApprovalsWithoutResults) {\n              localToolContent.push({\n                type: 'tool-result' as const,\n                toolCallId: toolApproval.toolCall.toolCallId,\n                toolName: toolApproval.toolCall.toolName,\n                output: {\n                  type: 'execution-denied' as const,\n                  reason: toolApproval.approvalResponse.reason,\n                },\n              });\n            }\n\n            initialResponseMessages.push({\n              role: 'tool',\n              content: localToolContent,\n            });\n          }\n        } finally {\n          toolExecutionStepStreamController?.close();\n        }\n      }\n\n      self._initialResponseMessages.resolve(initialResponseMessages);\n\n      async function streamStep({\n        currentStep,\n        usage,\n      }: {\n        currentStep: number;\n        usage: LanguageModelUsage;\n      }) {\n        // Set up step timeout if configured\n        const stepTimeoutId = setAbortTimeout({\n          abortController: stepAbortController,\n          label: 'Step',\n          timeoutMs: stepTimeoutMs,\n        });\n\n        // The first-content timeout is armed when the provider response stream\n        // starts and is cleared by the first semantic output chunk.\n        let firstChunkTimeoutId: ReturnType<typeof setTimeout> | undefined =\n          undefined;\n\n        function startFirstChunkTimeout() {\n          if (abortSignal?.aborted) {\n            return;\n          }\n\n          firstChunkTimeoutId = setAbortTimeout({\n            abortController: firstChunkAbortController,\n            label: 'First chunk',\n            timeoutMs: firstChunkTimeoutMs,\n          });\n        }\n\n        function clearFirstChunkTimeout() {\n          if (firstChunkTimeoutId != null) {\n            clearTimeout(firstChunkTimeoutId);\n            firstChunkTimeoutId = undefined;\n          }\n        }\n\n        // Chunk timeout tracking starts after semantic output begins and is\n        // reset only by subsequent semantic output chunks.\n        let chunkTimeoutId: ReturnType<typeof setTimeout> | undefined =\n          undefined;\n\n        function resetChunkTimeout() {\n          if (chunkTimeoutId != null) {\n            clearTimeout(chunkTimeoutId);\n          }\n          chunkTimeoutId = setAbortTimeout({\n            abortController: chunkAbortController,\n            label: 'Chunk',\n            timeoutMs: chunkTimeoutMs,\n          });\n        }\n\n        function clearChunkTimeout() {\n          if (chunkTimeoutId != null) {\n            clearTimeout(chunkTimeoutId);\n            chunkTimeoutId = undefined;\n          }\n        }\n\n        function clearStepTimeout() {\n          if (stepTimeoutId != null) {\n            clearTimeout(stepTimeoutId);\n          }\n        }\n\n        function clearStepTimeouts() {\n          clearStepTimeout();\n          clearFirstChunkTimeout();\n          clearChunkTimeout();\n        }\n\n        function cleanupStepTimeouts() {\n          abortSignal?.removeEventListener('abort', cleanupStepTimeouts);\n          clearStepTimeouts();\n        }\n\n        // The step's stream is registered lazily and consumed long after this\n        // function returns, so its timers must stay armed past setup. When the\n        // merged abort signal fires, drop all step-scoped timers so none\n        // outlives the step.\n        abortSignal?.addEventListener('abort', cleanupStepTimeouts, {\n          once: true,\n        });\n\n        try {\n          stepFinish = new DelayedPromise<void>();\n\n          const stepTracingChannelContext =\n            telemetryDispatcher.startTracingChannelContext?.({\n              type: 'step',\n              event: { callId, stepNumber: currentStep },\n              completion: stepFinish.promise,\n            });\n          // Re-enter the current step before creating child spans.\n          const runInStepTracingChannelContext = <T>(execute: () => T): T =>\n            stepTracingChannelContext?.run(execute) ?? execute();\n\n          const responseMessagesFromPreviousSteps = recordedSteps.flatMap(\n            step => step.response.messages,\n          );\n          const accumulatedResponseMessages = [\n            ...initialResponseMessages,\n            ...responseMessagesFromPreviousSteps,\n          ];\n          const stepInputMessages = stepMessagesForNextStep ?? [\n            ...initialMessages,\n            ...initialResponseMessages,\n          ];\n\n          const prepareStepResult = await prepareStep?.({\n            model,\n            steps: recordedSteps,\n            stepNumber: recordedSteps.length,\n            instructions: instructionsForNextStep,\n            initialInstructions: initialPrompt.instructions,\n            messages: stepInputMessages,\n            initialMessages,\n            responseMessages: accumulatedResponseMessages,\n            toolsContext,\n            runtimeContext,\n            experimental_sandbox: sandbox,\n          });\n\n          const stepSandbox =\n            prepareStepResult?.experimental_sandbox ?? sandbox;\n\n          runtimeContext = prepareStepResult?.runtimeContext ?? runtimeContext;\n          toolsContext = prepareStepResult?.toolsContext ?? toolsContext;\n\n          const stepModel = resolveLanguageModel(\n            prepareStepResult?.model ?? model,\n          );\n\n          const stepActiveTools = filterActiveTools({\n            tools,\n            activeTools: prepareStepResult?.activeTools ?? activeTools,\n          });\n          const {\n            executionTools: stepExecutionTools,\n            modelTools: stepModelTools,\n          } = prepareToolsForToolCallers({\n            tools: stepActiveTools,\n            toolCallers: resolvedToolCallers,\n          });\n          const stepToolOrder = prepareStepResult?.toolOrder ?? toolOrder;\n\n          const stepTools = await prepareTools({\n            tools: stepModelTools as ActiveToolSubset<\n              TOOLS,\n              ActiveTools<NoInfer<TOOLS>>\n            >,\n            toolOrder: stepToolOrder as ToolOrder<\n              ActiveToolSubset<TOOLS, ActiveTools<NoInfer<TOOLS>>>\n            >,\n            // active tools context is a subset of the tools context, so we can cast to the unknown type\n            toolsContext: toolsContext as unknown as InferToolSetContext<\n              ActiveToolSubset<TOOLS, ActiveTools<NoInfer<TOOLS>>>\n            >,\n            experimental_sandbox: stepSandbox,\n          });\n\n          const stepToolChoice = prepareToolChoice({\n            toolChoice: prepareStepResult?.toolChoice ?? toolChoice,\n          });\n\n          const stepMessages = prepareStepResult?.messages ?? stepInputMessages;\n          currentStepMessages = stepMessages;\n          const stepInstructions =\n            prepareStepResult?.instructions ??\n            prepareStepResult?.system ??\n            instructionsForNextStep;\n          instructionsForNextStep = stepInstructions;\n\n          const stepProviderOptions = mergeObjects(\n            providerOptions,\n            prepareStepResult?.providerOptions,\n          );\n\n          const stepCallSettings = prepareStepCallSettings({\n            callSettings,\n            stepSettings: prepareStepResult,\n          });\n\n          const stepStartTimestampMs = now();\n\n          const { retry } = prepareRetries({ maxRetries, abortSignal });\n\n          const {\n            stream: languageModelStream,\n            request,\n            response,\n          } = await runInStepTracingChannelContext(() =>\n            retry(async () =>\n              streamLanguageModelCall({\n                model: prepareStepResult?.model ?? model,\n                tools: stepModelTools as TOOLS,\n                toolOrder: stepToolOrder,\n                toolChoice: prepareStepResult?.toolChoice ?? toolChoice,\n                instructions: stepInstructions,\n                messages: stepMessages,\n                allowSystemInMessages,\n                repairToolCall,\n                refineToolInput,\n                abortSignal,\n                headers,\n                includeRawChunks: include.rawChunks,\n                providerOptions: stepProviderOptions,\n                download,\n                output,\n                callId,\n                executeLanguageModelCallInTelemetryContext:\n                  telemetryDispatcher.executeLanguageModelCall,\n                toolsContext,\n                experimental_sandbox: stepSandbox,\n                onLanguageModelCallStart: filterNullable(\n                  onLanguageModelCallStart,\n                  telemetryDispatcher.onLanguageModelCallStart as\n                    | undefined\n                    | OnLanguageModelCallStartCallback,\n                ),\n                onLanguageModelCallEnd: filterNullable(\n                  onLanguageModelCallEnd,\n                  telemetryDispatcher.onLanguageModelCallEnd as\n                    | undefined\n                    | OnLanguageModelCallEndCallback<TOOLS>,\n                ),\n                onStart: async ({ promptMessages }) => {\n                  await notify({\n                    event: {\n                      callId,\n                      provider: stepModel.provider,\n                      modelId: stepModel.modelId,\n                      stepNumber: recordedSteps.length,\n                      instructions: stepInstructions,\n                      messages: stepMessages,\n                      tools,\n                      toolChoice: prepareStepResult?.toolChoice ?? toolChoice,\n                      activeTools:\n                        prepareStepResult?.activeTools ?? activeTools,\n                      toolOrder: stepToolOrder,\n                      steps: [...recordedSteps],\n                      providerOptions: stepProviderOptions,\n                      runtimeContext,\n                      toolsContext,\n                      output,\n                      promptMessages,\n                      stepTools,\n                      stepToolChoice,\n                    },\n                    callbacks: [onStepStart, telemetryDispatcher.onStepStart],\n                  });\n                },\n                _internal: {\n                  now,\n                },\n                ...stepCallSettings,\n              }),\n            ),\n          );\n\n          startFirstChunkTimeout();\n\n          const streamAfterToolCallbackInvocation =\n            invokeToolCallbacksFromStream({\n              stream: languageModelStream,\n              tools: stepExecutionTools as TOOLS,\n              stepInputMessages: stepMessages,\n              abortSignal,\n              runtimeContext,\n            });\n\n          // Create child spans under the current step context.\n          const runInTracingChannelSpanInStep =\n            telemetryDispatcher.runInTracingChannelSpan == null\n              ? undefined\n              : <T>(\n                  options: Parameters<\n                    NonNullable<TelemetryDispatcher['runInTracingChannelSpan']>\n                  >[0] & {\n                    execute: () => PromiseLike<T>;\n                  },\n                ) =>\n                  runInStepTracingChannelContext(() =>\n                    telemetryDispatcher.runInTracingChannelSpan!(options),\n                  );\n\n          const streamWithToolResults = executeToolsFromStream({\n            stream: streamAfterToolCallbackInvocation,\n            tools: stepExecutionTools as TOOLS,\n            callId,\n            messages: stepMessages,\n            abortSignal,\n            timeout,\n            experimental_sandbox: stepSandbox,\n            toolsContext,\n            toolApproval,\n            runtimeContext,\n            toolApprovalSecret: experimental_toolApprovalSecret,\n            generateId,\n\n            // the callbacks need to be passed down and handled by executeToolCall\n            // to guarantee that the onToolExecutionStart callback is invoked before the tool execute function\n            onToolExecutionStart: filterNullable(\n              onToolExecutionStart,\n              telemetryDispatcher.onToolExecutionStart,\n            ),\n            onToolExecutionEnd: filterNullable(\n              onToolExecutionEnd,\n              telemetryDispatcher.onToolExecutionEnd,\n            ),\n\n            executeToolInTelemetryContext: telemetryDispatcher.executeTool,\n            runInTracingChannelSpan: runInTracingChannelSpanInStep,\n          });\n\n          // Conditionally include request.body based on include settings.\n          // Large payloads (e.g., base64-encoded images) can cause memory issues.\n          const stepRequest: LanguageModelRequestMetadata = {\n            ...request,\n            body: include.requestBody ? request?.body : undefined,\n            messages: include.requestMessages\n              ? cloneModelMessages(stepMessages)\n              : undefined,\n          };\n          recordedRequestMessages = stepRequest.messages ?? [];\n\n          const stepToolCalls: TypedToolCall<TOOLS>[] = [];\n          const stepToolOutputs: ToolOutput<TOOLS>[] = [];\n          const stepToolApprovalResponses: ToolApprovalResponse[] = [];\n          let warnings: SharedV4Warning[] | undefined;\n\n          let stepFinishReason: FinishReason = 'other';\n          let stepRawFinishReason: string | undefined = undefined;\n\n          // terminal chunk = 'model-call-end' or 'error'; absence on stream\n          // end means the model stream is incomplete:\n          let hasReceivedTerminalChunk = false;\n\n          // output chunk = any content chunk (text, tool calls, etc.);\n          // used to distinguish empty incomplete streams from partial results:\n          let hasReceivedOutputChunk = false;\n\n          let stepUsage: LanguageModelUsage = createNullLanguageModelUsage();\n          let stepProviderMetadata: ProviderMetadata | undefined;\n          let stepFirstChunk = true;\n          let modelCallPerformance: Omit<\n            StepResultPerformance,\n            'stepTimeMs' | 'toolExecutionMs'\n          > = {\n            responseTimeMs: 0,\n            effectiveOutputTokensPerSecond: 0,\n            outputTokensPerSecond: undefined,\n            inputTokensPerSecond: undefined,\n            effectiveTotalTokensPerSecond: 0,\n            timeToFirstOutputMs: undefined,\n            timeBetweenOutputChunksMs: undefined,\n          };\n          const toolExecutionMs: Record<string, number> = {};\n          let stepResponse: { id: string; timestamp: Date; modelId: string } = {\n            id: generateId(),\n            timestamp: new Date(),\n            modelId: model.modelId,\n          };\n\n          // maps provider-assigned IDs to stream-unique IDs for the text and\n          // reasoning parts that are active in this step\n          const textPartIds = new Map<string, string>();\n          const reasoningPartIds = new Map<string, string>();\n\n          self.addStream(\n            streamWithToolResults.pipeThrough(\n              new TransformStream<\n                ExecuteToolsStreamPart<TOOLS>,\n                TextStreamPart<TOOLS>\n              >({\n                async transform(chunk, controller): Promise<void> {\n                  if (chunk.type === 'model-call-start') {\n                    warnings = chunk.warnings;\n                    return; // stream start chunks are sent immediately and do not count as first chunk\n                  }\n\n                  if (stepFirstChunk) {\n                    stepFirstChunk = false;\n\n                    // Step start:\n                    controller.enqueue({\n                      type: 'start-step',\n                      request: stepRequest,\n                      warnings: warnings ?? [],\n                    });\n                  }\n\n                  const chunkType = chunk.type;\n\n                  if (isOutputChunk(chunk)) {\n                    if (!hasReceivedOutputChunk) {\n                      // Clear before forwarding the first output so a timeout\n                      // cannot race with already-visible generated content.\n                      clearFirstChunkTimeout();\n                    }\n                    hasReceivedOutputChunk = true;\n                    resetChunkTimeout();\n                  }\n\n                  switch (chunkType) {\n                    case 'file':\n                    case 'custom':\n                    case 'source':\n                    case 'reasoning-file':\n                    case 'tool-input-start':\n                    case 'tool-input-end':\n                    case 'tool-input-delta':\n                    case 'tool-approval-request': {\n                      controller.enqueue(chunk);\n                      break;\n                    }\n\n                    case 'text-start': {\n                      const id = reserveTextPartId(chunk.id);\n                      textPartIds.set(chunk.id, id);\n                      controller.enqueue({ ...chunk, id });\n                      break;\n                    }\n\n                    case 'text-delta': {\n                      if (\n                        chunk.text.length > 0 ||\n                        chunk.providerMetadata != null\n                      ) {\n                        controller.enqueue({\n                          ...chunk,\n                          id: textPartIds.get(chunk.id) ?? chunk.id,\n                        });\n                      }\n                      break;\n                    }\n\n                    case 'text-end': {\n                      controller.enqueue({\n                        ...chunk,\n                        id: textPartIds.get(chunk.id) ?? chunk.id,\n                      });\n                      textPartIds.delete(chunk.id);\n                      break;\n                    }\n\n                    case 'reasoning-start': {\n                      const id = reserveReasoningPartId(chunk.id);\n                      reasoningPartIds.set(chunk.id, id);\n                      controller.enqueue({ ...chunk, id });\n                      break;\n                    }\n\n                    case 'reasoning-delta': {\n                      controller.enqueue({\n                        ...chunk,\n                        id: reasoningPartIds.get(chunk.id) ?? chunk.id,\n                      });\n                      break;\n                    }\n\n                    case 'reasoning-end': {\n                      controller.enqueue({\n                        ...chunk,\n                        id: reasoningPartIds.get(chunk.id) ?? chunk.id,\n                      });\n                      reasoningPartIds.delete(chunk.id);\n                      break;\n                    }\n\n                    case 'tool-call': {\n                      controller.enqueue(chunk);\n                      // store tool calls for onEnd callback and toolCalls promise:\n                      stepToolCalls.push(chunk);\n                      break;\n                    }\n\n                    case 'tool-approval-response': {\n                      controller.enqueue(chunk);\n                      stepToolApprovalResponses.push(chunk);\n                      break;\n                    }\n\n                    case 'tool-result': {\n                      controller.enqueue(chunk);\n\n                      if (!chunk.preliminary) {\n                        stepToolOutputs.push(chunk);\n                      }\n\n                      break;\n                    }\n\n                    case 'tool-error': {\n                      controller.enqueue(chunk);\n                      stepToolOutputs.push(chunk);\n                      break;\n                    }\n\n                    case 'tool-execution-end': {\n                      toolExecutionMs[chunk.toolCallId] = chunk.toolExecutionMs;\n                      break;\n                    }\n\n                    case 'model-call-response-metadata': {\n                      stepResponse = {\n                        id: chunk.id ?? stepResponse.id,\n                        timestamp: chunk.timestamp ?? stepResponse.timestamp,\n                        modelId: chunk.modelId ?? stepResponse.modelId,\n                      };\n                      break;\n                    }\n\n                    case 'model-call-end': {\n                      hasReceivedTerminalChunk = true;\n\n                      // Note: tool executions might not be finished yet when the finish event is emitted.\n                      // store usage and finish reason for promises and onEnd callback:\n                      stepUsage = chunk.usage;\n                      stepFinishReason = chunk.finishReason;\n                      stepRawFinishReason = chunk.rawFinishReason;\n                      stepProviderMetadata = chunk.providerMetadata;\n                      modelCallPerformance = chunk.performance;\n\n                      break;\n                    }\n\n                    case 'error': {\n                      hasReceivedTerminalChunk = true;\n                      controller.enqueue(chunk);\n                      stepFinishReason = 'error';\n                      break;\n                    }\n\n                    case 'raw': {\n                      if (include.rawChunks) {\n                        controller.enqueue(chunk);\n                      }\n                      break;\n                    }\n\n                    default: {\n                      const exhaustiveCheck: never = chunkType;\n                      throw new Error(`Unknown chunk type: ${exhaustiveCheck}`);\n                    }\n                  }\n                },\n\n                // invoke onEnd callback and resolve toolResults promise when the stream is about to close:\n                async flush(controller) {\n                  // emit an error when an incomplete model stream produced no\n                  // output instead of recording an empty step. incomplete\n                  // streams with partial output retain the partial result:\n                  if (!hasReceivedTerminalChunk && !hasReceivedOutputChunk) {\n                    controller.enqueue({\n                      type: 'error',\n                      error: new NoOutputGeneratedError({\n                        message:\n                          'No output generated. The model stream ended without a finish chunk.',\n                      }),\n                    });\n\n                    cleanupStepTimeouts();\n                    self.closeStream();\n                    return;\n                  }\n\n                  const stepTimeMs = now() - stepStartTimestampMs;\n\n                  const finishStepPart: TextStreamPart<TOOLS> = {\n                    type: 'finish-step',\n                    finishReason: stepFinishReason,\n                    rawFinishReason: stepRawFinishReason,\n                    usage: stepUsage,\n                    performance: {\n                      stepTimeMs,\n                      toolExecutionMs,\n                      ...modelCallPerformance,\n                    },\n                    providerMetadata: stepProviderMetadata,\n                    response: {\n                      ...stepResponse,\n                      headers: response?.headers,\n                    },\n                  };\n\n                  controller.enqueue(finishStepPart);\n\n                  const combinedUsage = addLanguageModelUsage(usage, stepUsage);\n\n                  // wait for the step to be fully processed by the event processor\n                  // to ensure that the recorded steps are complete:\n                  await stepFinish.promise;\n\n                  const clientToolCalls = stepToolCalls.filter(\n                    toolCall => toolCall.providerExecuted !== true,\n                  );\n                  const clientToolOutputs = stepToolOutputs.filter(\n                    toolOutput => toolOutput.providerExecuted !== true,\n                  );\n                  const deniedToolApprovalResponses =\n                    stepToolApprovalResponses.filter(\n                      toolApprovalResponse =>\n                        toolApprovalResponse.approved === false,\n                    );\n\n                  // Track provider-executed tool calls that support deferred results.\n                  // In programmatic tool calling, a server tool (e.g., code_execution) may\n                  // trigger a client tool, and the server tool's result is deferred until\n                  // the client tool's result is sent back.\n                  for (const toolCall of stepToolCalls) {\n                    if (toolCall.providerExecuted !== true) continue;\n                    const tool = getOwn(stepExecutionTools, toolCall.toolName);\n                    if (\n                      tool?.type === 'provider' &&\n                      tool.supportsDeferredResults\n                    ) {\n                      // Check if this tool call already has a result in the current step\n                      const hasResultInStep = stepToolOutputs.some(\n                        output =>\n                          (output.type === 'tool-result' ||\n                            output.type === 'tool-error') &&\n                          output.toolCallId === toolCall.toolCallId,\n                      );\n                      if (!hasResultInStep) {\n                        pendingDeferredToolCalls.set(toolCall.toolCallId, {\n                          toolName: toolCall.toolName,\n                        });\n                      }\n                    }\n                  }\n\n                  // Mark deferred tool calls as resolved when we receive their results\n                  for (const output of stepToolOutputs) {\n                    if (\n                      output.type === 'tool-result' ||\n                      output.type === 'tool-error'\n                    ) {\n                      pendingDeferredToolCalls.delete(output.toolCallId);\n                    }\n                  }\n\n                  // Clear this step's timeouts before the next step is started.\n                  cleanupStepTimeouts();\n\n                  if (\n                    // Continue only after all client tool calls have been executed or denied,\n                    // and if there are client results or pending deferred provider results.\n                    clientToolCalls.length ===\n                      clientToolOutputs.length +\n                        deniedToolApprovalResponses.length &&\n                    (clientToolCalls.length > 0 ||\n                      pendingDeferredToolCalls.size > 0) &&\n                    // continue until a stop condition is met:\n                    !(await isStopConditionMet({\n                      stopConditions,\n                      steps: recordedSteps,\n                    }))\n                  ) {\n                    try {\n                      await runInStreamTextTracingChannelContext(() =>\n                        streamStep({\n                          currentStep: currentStep + 1,\n                          usage: combinedUsage,\n                        }),\n                      );\n                    } catch (error) {\n                      controller.enqueue({\n                        type: 'error',\n                        error,\n                      });\n\n                      self.closeStream();\n                    }\n                  } else {\n                    controller.enqueue({\n                      type: 'finish',\n                      finishReason: stepFinishReason,\n                      rawFinishReason: stepRawFinishReason,\n                      totalUsage: combinedUsage,\n                    });\n\n                    self.closeStream(); // close the stitchable stream\n                  }\n                },\n              }),\n            ),\n            {\n              onError: cleanupStepTimeouts,\n              onCancel: cleanupStepTimeouts,\n            },\n          );\n        } catch (error) {\n          // Setup failed before the stream was registered, so neither the\n          // stream's flush nor an abort will clear the timers — clear them here.\n          cleanupStepTimeouts();\n          throw error;\n        }\n      }\n\n      await runInStreamTextTracingChannelContext(() =>\n        // add the initial stream to the stitchable stream\n        streamStep({\n          currentStep: 0,\n          usage: createNullLanguageModelUsage(),\n        }),\n      );\n    })().catch(async error => {\n      await telemetryDispatcher.onError?.({ callId, error });\n      self._initialResponseMessages.reject(error);\n      markPromiseAsHandled(self._initialResponseMessages.promise);\n\n      // add an error stream part and close the streams:\n      self.addStream(\n        new ReadableStream({\n          start(controller) {\n            controller.enqueue({ type: 'error', error });\n            controller.close();\n          },\n        }),\n      );\n      self.closeStream();\n    });\n  }\n\n  get steps() {\n    // when any of the promises are accessed, the stream is consumed\n    // so it resolves without needing to consume the stream separately\n    this.consumeStream();\n\n    return this._steps.promise;\n  }\n\n  get finalStep() {\n    return this.steps.then(steps => steps.at(-1)!);\n  }\n\n  get content() {\n    return this.steps.then(steps => steps.flatMap(step => step.content));\n  }\n\n  get warnings() {\n    return this.steps.then(steps => steps.flatMap(step => step.warnings ?? []));\n  }\n\n  get providerMetadata() {\n    return this.finalStep.then(step => step.providerMetadata);\n  }\n\n  get text() {\n    return this.finalStep.then(step => step.text);\n  }\n\n  get reasoningText() {\n    return this.finalStep.then(step => step.reasoningText);\n  }\n\n  get reasoning() {\n    return this.finalStep.then(step =>\n      convertToReasoningOutputs(step.reasoning),\n    );\n  }\n\n  get sources() {\n    return this.steps.then(steps => steps.flatMap(step => step.sources));\n  }\n\n  get files() {\n    return this.steps.then(steps => steps.flatMap(step => step.files));\n  }\n\n  get toolCalls() {\n    return this.steps.then(steps => steps.flatMap(step => step.toolCalls));\n  }\n\n  get staticToolCalls() {\n    return this.steps.then(steps =>\n      steps.flatMap(step => step.staticToolCalls),\n    );\n  }\n\n  get dynamicToolCalls() {\n    return this.steps.then(steps =>\n      steps.flatMap(step => step.dynamicToolCalls),\n    );\n  }\n\n  get toolResults() {\n    return this.steps.then(steps => steps.flatMap(step => step.toolResults));\n  }\n\n  get staticToolResults() {\n    return this.steps.then(steps =>\n      steps.flatMap(step => step.staticToolResults),\n    );\n  }\n\n  get dynamicToolResults() {\n    return this.steps.then(steps =>\n      steps.flatMap(step => step.dynamicToolResults),\n    );\n  }\n\n  get usage() {\n    return this.totalUsage;\n  }\n\n  get request() {\n    return this.finalStep.then(step => step.request);\n  }\n\n  get response() {\n    return this.finalStep.then(step => step.response);\n  }\n\n  get responseMessages() {\n    return Promise.all([\n      this._initialResponseMessages.promise,\n      this.steps,\n    ]).then(([initialResponseMessages, steps]) => [\n      ...initialResponseMessages,\n      ...steps.flatMap(step => step.response.messages),\n    ]);\n  }\n\n  get totalUsage() {\n    // when any of the promises are accessed, the stream is consumed\n    // so it resolves without needing to consume the stream separately\n    this.consumeStream();\n\n    return this._totalUsage.promise;\n  }\n\n  get finishReason() {\n    // when any of the promises are accessed, the stream is consumed\n    // so it resolves without needing to consume the stream separately\n    this.consumeStream();\n\n    return this._finishReason.promise;\n  }\n\n  get rawFinishReason() {\n    // when any of the promises are accessed, the stream is consumed\n    // so it resolves without needing to consume the stream separately\n    this.consumeStream();\n\n    return this._rawFinishReason.promise;\n  }\n\n  /**\n   * Split out a new stream from the original stream.\n   * The original stream is replaced to allow for further splitting,\n   * since we do not know how many times the stream will be split.\n   *\n   * Note: this leads to buffering the stream content on the server.\n   * However, the LLM results are expected to be small enough to not cause issues.\n   */\n  private teeStream() {\n    const [stream1, stream2] = this.baseStream.tee();\n    this.baseStream = stream2;\n    return stream1;\n  }\n\n  get textStream(): AsyncIterableStream<string> {\n    return createAsyncIterableStream(toTextStream({ stream: this.stream }));\n  }\n\n  get stream(): AsyncIterableStream<TextStreamPart<TOOLS>> {\n    return createAsyncIterableStream(\n      this.teeStream().pipeThrough(\n        new TransformStream<\n          EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>,\n          TextStreamPart<TOOLS>\n        >({\n          transform({ part }, controller) {\n            controller.enqueue(part);\n          },\n        }),\n      ),\n    );\n  }\n\n  get fullStream(): AsyncIterableStream<TextStreamPart<TOOLS>> {\n    return this.stream;\n  }\n\n  private rejectResultPromises(error: unknown) {\n    this.rejectResultPromise({ delayedPromise: this._finishReason, error });\n    this.rejectResultPromise({ delayedPromise: this._rawFinishReason, error });\n    this.rejectResultPromise({ delayedPromise: this._totalUsage, error });\n    this.rejectResultPromise({ delayedPromise: this._steps, error });\n    this.rejectResultPromise({\n      delayedPromise: this._initialResponseMessages,\n      error,\n    });\n  }\n\n  private rejectResultPromise<T>({\n    delayedPromise,\n    error,\n  }: {\n    delayedPromise: DelayedPromise<T>;\n    error: unknown;\n  }) {\n    if (delayedPromise.isPending()) {\n      delayedPromise.reject(error);\n      markPromiseAsHandled(delayedPromise.promise);\n    }\n  }\n\n  async consumeStream(options?: ConsumeStreamOptions): Promise<void> {\n    try {\n      await consumeStream({\n        stream: this.stream,\n        onError: error => {\n          this.rejectResultPromises(error);\n          options?.onError?.(error);\n        },\n      });\n    } catch (error) {\n      this.rejectResultPromises(error);\n      options?.onError?.(error);\n    }\n  }\n\n  get experimental_partialOutputStream(): AsyncIterableStream<\n    InferPartialOutput<OUTPUT>\n  > {\n    return this.partialOutputStream;\n  }\n\n  get partialOutputStream(): AsyncIterableStream<InferPartialOutput<OUTPUT>> {\n    return createAsyncIterableStream(\n      this.teeStream().pipeThrough(\n        new TransformStream<\n          EnrichedStreamPart<TOOLS, InferPartialOutput<OUTPUT>>,\n          InferPartialOutput<OUTPUT>\n        >({\n          transform({ partialOutput }, controller) {\n            if (partialOutput != null) {\n              controller.enqueue(partialOutput);\n            }\n          },\n        }),\n      ),\n    );\n  }\n\n  get elementStream(): AsyncIterableStream<InferElementOutput<OUTPUT>> {\n    const transform = this.outputSpecification?.createElementStreamTransform();\n\n    if (transform == null) {\n      throw new UnsupportedFunctionalityError({\n        functionality: `element streams in ${\n          this.outputSpecification?.name ?? 'text'\n        } mode`,\n      });\n    }\n\n    return createAsyncIterableStream(this.teeStream().pipeThrough(transform));\n  }\n\n  get output(): Promise<InferCompleteOutput<OUTPUT>> {\n    return this.finalStep.then(step => {\n      const output = this.outputSpecification ?? text();\n      return output.parseCompleteOutput(\n        { text: step.text },\n        {\n          response: step.response,\n          usage: step.usage,\n          finishReason: step.finishReason,\n        },\n      );\n    });\n  }\n\n  toUIMessageStream<UI_MESSAGE extends UIMessage>({\n    originalMessages,\n    generateMessageId,\n    onEnd,\n    onFinish,\n    messageMetadata,\n    sendReasoning,\n    sendSources,\n    sendStart,\n    sendFinish,\n    onError,\n  }: UIMessageStreamOptions<UI_MESSAGE> = {}): AsyncIterableStream<\n    InferUIMessageChunk<UI_MESSAGE>\n  > {\n    return createAsyncIterableStream(\n      toUIMessageStreamHelper({\n        stream: this.stream,\n        tools: this.tools,\n        originalMessages,\n        generateMessageId,\n        onEnd: onEnd ?? onFinish,\n        messageMetadata,\n        sendReasoning,\n        sendSources,\n        sendStart,\n        sendFinish,\n        onError,\n      }),\n    );\n  }\n\n  pipeUIMessageStreamToResponse<UI_MESSAGE extends UIMessage>(\n    response: ServerResponse,\n    {\n      originalMessages,\n      generateMessageId,\n      onEnd,\n      onFinish,\n      messageMetadata,\n      sendReasoning,\n      sendSources,\n      sendFinish,\n      sendStart,\n      onError,\n      ...init\n    }: UIMessageStreamResponseInit & UIMessageStreamOptions<UI_MESSAGE> = {},\n  ) {\n    return pipeUIMessageStreamToResponse({\n      response,\n      stream: this.toUIMessageStream({\n        originalMessages,\n        generateMessageId,\n        onEnd: onEnd ?? onFinish,\n        messageMetadata,\n        sendReasoning,\n        sendSources,\n        sendFinish,\n        sendStart,\n        onError,\n      }),\n      ...init,\n    });\n  }\n\n  pipeTextStreamToResponse(response: ServerResponse, init?: ResponseInit) {\n    return pipeTextStreamToResponse({\n      response,\n      stream: this.textStream,\n      ...init,\n    });\n  }\n\n  toUIMessageStreamResponse<UI_MESSAGE extends UIMessage>({\n    originalMessages,\n    generateMessageId,\n    onEnd,\n    onFinish,\n    messageMetadata,\n    sendReasoning,\n    sendSources,\n    sendFinish,\n    sendStart,\n    onError,\n    ...init\n  }: UIMessageStreamResponseInit &\n    UIMessageStreamOptions<UI_MESSAGE> = {}): Response {\n    return createUIMessageStreamResponse({\n      stream: this.toUIMessageStream({\n        originalMessages,\n        generateMessageId,\n        onEnd: onEnd ?? onFinish,\n        messageMetadata,\n        sendReasoning,\n        sendSources,\n        sendFinish,\n        sendStart,\n        onError,\n      }),\n      ...init,\n    });\n  }\n\n  toTextStreamResponse(init?: ResponseInit): Response {\n    return createTextStreamResponse({\n      stream: this.textStream,\n      ...init,\n    });\n  }\n}\n", "export function prepareHeaders(\n  headers: HeadersInit | undefined,\n  defaultHeaders: Record<string, string>,\n): Headers {\n  const responseHeaders = new Headers(headers ?? {});\n\n  for (const [key, value] of Object.entries(defaultHeaders)) {\n    if (!responseHeaders.has(key)) {\n      responseHeaders.set(key, value);\n    }\n  }\n\n  return responseHeaders;\n}\n", "import { prepareHeaders } from '../util/prepare-headers';\n\n/**\n * Creates a Response object from a text stream.\n * Each text chunk is encoded as UTF-8 and sent as a separate chunk.\n * Sets a `Content-Type` header to `text/plain; charset=utf-8`.\n *\n * @param options - The options for creating the response.\n * @param options.status - Optional HTTP status code (default: 200).\n * @param options.statusText - Optional HTTP status text.\n * @param options.headers - Optional response headers.\n * @param options.stream - The text stream to send.\n * @returns A Response object with the text stream body.\n */\nexport function createTextStreamResponse({\n  status,\n  statusText,\n  headers,\n  stream,\n}: ResponseInit & {\n  stream: ReadableStream<string>;\n}): Response {\n  return new Response(stream.pipeThrough(new TextEncoderStream()), {\n    status: status ?? 200,\n    statusText,\n    headers: prepareHeaders(headers, {\n      'content-type': 'text/plain; charset=utf-8',\n    }),\n  });\n}\n", "import type { ServerResponse } from 'node:http';\n\ntype FlushableServerResponse = ServerResponse & {\n  flush?: () => void;\n};\n\n/**\n * Writes the content of a stream to a server response.\n */\nexport function writeToServerResponse({\n  response,\n  status,\n  statusText,\n  headers,\n  stream,\n}: {\n  response: ServerResponse;\n  status?: number;\n  statusText?: string;\n  headers?: Record<string, string | number | string[]>;\n  stream: ReadableStream<Uint8Array>;\n}): Promise<void> {\n  const statusCode = status ?? 200;\n  if (statusText !== undefined) {\n    response.writeHead(statusCode, statusText, headers);\n  } else {\n    response.writeHead(statusCode, headers);\n  }\n\n  const reader = stream.getReader();\n  const read = async () => {\n    try {\n      while (true) {\n        const { done, value } = await reader.read();\n        if (done) break;\n\n        // Respect backpressure: if write() returns false, wait for 'drain' event\n        const canContinue = response.write(value);\n        const flush = (response as FlushableServerResponse).flush;\n        if (typeof flush === 'function') {\n          flush.call(response);\n        }\n\n        if (!canContinue) {\n          await new Promise<void>(resolve => {\n            response.once('drain', resolve);\n          });\n        }\n      }\n    } catch (error) {\n      throw error;\n    } finally {\n      response.end();\n    }\n  };\n\n  return read();\n}\n", "import type { ServerResponse } from 'node:http';\nimport { prepareHeaders } from '../util/prepare-headers';\nimport { writeToServerResponse } from '../util/write-to-server-response';\n\n/**\n * Writes a text stream to a Node.js ServerResponse object.\n * Each text chunk is encoded as UTF-8 and written as a separate chunk.\n * Sets a `Content-Type` header to `text/plain; charset=utf-8`.\n *\n * @param options - The options for piping the stream.\n * @param options.response - The Node.js ServerResponse to write to.\n * @param options.status - Optional HTTP status code.\n * @param options.statusText - Optional HTTP status text.\n * @param options.headers - Optional response headers.\n * @param options.stream - The text stream to pipe.\n * @returns A promise that resolves when the stream has been written.\n */\nexport function pipeTextStreamToResponse({\n  response,\n  status,\n  statusText,\n  headers,\n  stream,\n}: {\n  response: ServerResponse;\n  stream: ReadableStream<string>;\n} & ResponseInit): Promise<void> {\n  return writeToServerResponse({\n    response,\n    status,\n    statusText,\n    headers: Object.fromEntries(\n      prepareHeaders(headers, {\n        'content-type': 'text/plain; charset=utf-8',\n      }).entries(),\n    ),\n    stream: stream.pipeThrough(new TextEncoderStream()),\n  });\n}\n", "import type { ToolSet } from '@ai-sdk/provider-utils';\nimport type { TextStreamPart } from '../generate-text/stream-text-result';\n\n/**\n * Converts a stream of `TextStreamPart` chunks into a stream of text deltas.\n */\nexport function toTextStream<TOOLS extends ToolSet = ToolSet>({\n  stream,\n}: {\n  stream: ReadableStream<TextStreamPart<TOOLS>>;\n}): ReadableStream<string> {\n  return stream.pipeThrough(\n    new TransformStream<TextStreamPart<TOOLS>, string>({\n      transform(part, controller) {\n        if (part.type === 'text-delta') {\n          controller.enqueue(part.text);\n        }\n      },\n    }),\n  );\n}\n", "/**\n * A TransformStream that converts JSON objects to Server-Sent Events (SSE) format.\n * Each object is serialized to JSON and wrapped in `data: ...\\n\\n` format.\n * When the stream ends, a `data: [DONE]\\n\\n` message is sent.\n */\nexport class JsonToSseTransformStream extends TransformStream<unknown, string> {\n  constructor() {\n    super({\n      transform(part, controller) {\n        controller.enqueue(`data: ${JSON.stringify(part)}\\n\\n`);\n      },\n      flush(controller) {\n        controller.enqueue('data: [DONE]\\n\\n');\n      },\n    });\n  }\n}\n", "export const UI_MESSAGE_STREAM_HEADERS = {\n  'content-type': 'text/event-stream',\n  'cache-control': 'no-cache',\n  connection: 'keep-alive',\n  'x-vercel-ai-ui-message-stream': 'v1',\n  'x-accel-buffering': 'no', // disable nginx buffering\n};\n", "import { prepareHeaders } from '../util/prepare-headers';\nimport { JsonToSseTransformStream } from './json-to-sse-transform-stream';\nimport { UI_MESSAGE_STREAM_HEADERS } from './ui-message-stream-headers';\nimport type { UIMessageChunk } from './ui-message-chunks';\nimport type { UIMessageStreamResponseInit } from './ui-message-stream-response-init';\n\n/**\n * Creates a Response object from a UI message stream.\n * The stream is transformed to Server-Sent Events (SSE) format.\n *\n * @param options.status - The HTTP status code for the response.\n * @param options.statusText - The HTTP status text for the response.\n * @param options.headers - Additional HTTP headers to include in the response.\n * @param options.stream - The UI message chunk stream to send.\n * @param options.consumeSseStream - Optional callback to consume a copy of the SSE stream independently.\n *\n * @returns A `Response` object with the UI message stream as the body.\n */\nexport function createUIMessageStreamResponse({\n  status,\n  statusText,\n  headers,\n  stream,\n  consumeSseStream,\n}: UIMessageStreamResponseInit & {\n  stream: ReadableStream<UIMessageChunk>;\n}): Response {\n  let sseStream = stream.pipeThrough(new JsonToSseTransformStream());\n\n  // when the consumeSseStream is provided, we need to tee the stream\n  // and send the second part to the consumeSseStream function\n  // so that it can be consumed by the client independently\n  if (consumeSseStream) {\n    const [stream1, stream2] = sseStream.tee();\n    sseStream = stream1;\n    consumeSseStream({ stream: stream2 }); // no await (do not block the response)\n  }\n\n  return new Response(sseStream.pipeThrough(new TextEncoderStream()), {\n    status,\n    statusText,\n    headers: prepareHeaders(headers, UI_MESSAGE_STREAM_HEADERS),\n  });\n}\n", "import type { ServerResponse } from 'node:http';\nimport { prepareHeaders } from '../util/prepare-headers';\nimport { writeToServerResponse } from '../util/write-to-server-response';\nimport { JsonToSseTransformStream } from './json-to-sse-transform-stream';\nimport { UI_MESSAGE_STREAM_HEADERS } from './ui-message-stream-headers';\nimport type { UIMessageChunk } from './ui-message-chunks';\nimport type { UIMessageStreamResponseInit } from './ui-message-stream-response-init';\n\n/**\n * Pipes a UI message stream to a Node.js ServerResponse object.\n * The stream is transformed to Server-Sent Events (SSE) format.\n *\n * @param options.response - The Node.js ServerResponse object to write to.\n * @param options.status - The HTTP status code for the response.\n * @param options.statusText - The HTTP status text for the response.\n * @param options.headers - Additional HTTP headers to include in the response.\n * @param options.stream - The UI message chunk stream to send.\n * @param options.consumeSseStream - Optional callback to consume a copy of the SSE stream independently.\n * @returns A promise that resolves when the stream has been written.\n */\nexport function pipeUIMessageStreamToResponse({\n  response,\n  status,\n  statusText,\n  headers,\n  stream,\n  consumeSseStream,\n}: {\n  response: ServerResponse;\n  stream: ReadableStream<UIMessageChunk>;\n} & UIMessageStreamResponseInit): Promise<void> {\n  let sseStream = stream.pipeThrough(new JsonToSseTransformStream());\n\n  // when the consumeSseStream is provided, we need to tee the stream\n  // and send the second part to the consumeSseStream function\n  // so that it can be consumed by the client independently\n  if (consumeSseStream) {\n    const [stream1, stream2] = sseStream.tee();\n    sseStream = stream1;\n    consumeSseStream({ stream: stream2 }); // no await (do not block the response)\n  }\n\n  return writeToServerResponse({\n    response,\n    status,\n    statusText,\n    headers: Object.fromEntries(\n      prepareHeaders(headers, UI_MESSAGE_STREAM_HEADERS).entries(),\n    ),\n    stream: sseStream.pipeThrough(new TextEncoderStream()),\n  });\n}\n", "import type { IdGenerator } from '@ai-sdk/provider-utils';\nimport type { UIMessage } from '../ui/ui-messages';\n\n/**\n * Determines the message ID to use for a response message.\n * If the last message is an assistant message, its ID is reused (continuation).\n * Otherwise, a new ID is generated or the provided ID is used.\n *\n * @param options.originalMessages - The original messages. If not provided, returns `undefined`\n *   since client-side ID generation is used in non-persistence mode.\n * @param options.responseMessageId - The response message ID or an ID generator function.\n *\n * @returns The message ID to use, or `undefined` if no persistence mode.\n */\nexport function getResponseUIMessageId({\n  originalMessages,\n  responseMessageId,\n}: {\n  originalMessages: UIMessage[] | undefined;\n  responseMessageId: string | IdGenerator;\n}) {\n  // when there are no original messages (i.e. no persistence),\n  // the assistant message id generation is handled on the client side.\n  if (originalMessages == null) {\n    return undefined;\n  }\n\n  const lastMessage = originalMessages[originalMessages.length - 1];\n\n  return lastMessage?.role === 'assistant'\n    ? lastMessage.id\n    : typeof responseMessageId === 'function'\n      ? responseMessageId()\n      : responseMessageId;\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport { validateTypes, type FlexibleSchema } from '@ai-sdk/provider-utils';\nimport { UIMessageStreamError } from '../error/ui-message-stream-error';\nimport type { ProviderMetadata } from '../types';\nimport type { FinishReason } from '../types/language-model';\nimport {\n  isDataUIMessageChunk,\n  type DataUIMessageChunk,\n  type InferUIMessageChunk,\n  type UIMessageChunk,\n} from '../ui-message-stream/ui-message-chunks';\nimport { createIdMap } from '../util/create-id-map';\nimport type { ErrorHandler } from '../util/error-handler';\nimport { mergeObjects } from '../util/merge-objects';\nimport { parsePartialJson } from '../util/parse-partial-json';\nimport type { UIDataTypesToSchemas } from './chat';\nimport {\n  getStaticToolName,\n  isStaticToolUIPart,\n  isToolUIPart,\n  type CustomContentUIPart,\n  type DataUIPart,\n  type DynamicToolUIPart,\n  type InferUIMessageData,\n  type InferUIMessageMetadata,\n  type InferUIMessageToolCall,\n  type InferUIMessageTools,\n  type ReasoningUIPart,\n  type TextUIPart,\n  type ToolUIPart,\n  type UIMessage,\n  type UIMessagePart,\n} from './ui-messages';\nexport type StreamingUIMessageState<UI_MESSAGE extends UIMessage> = {\n  message: UI_MESSAGE;\n  activeTextParts: Record<string, TextUIPart>;\n  activeReasoningParts: Record<string, ReasoningUIPart>;\n  partialToolCalls: Record<\n    string,\n    {\n      text: string;\n      index: number;\n      toolName: string;\n      dynamic?: boolean;\n      title?: string;\n      toolMetadata?: JSONObject;\n    }\n  >;\n  finishReason?: FinishReason;\n};\n\nexport type UIMessageStreamWriteOptions = {\n  updateStatus?: boolean;\n};\n\nexport function createStreamingUIMessageState<UI_MESSAGE extends UIMessage>({\n  lastMessage,\n  messageId,\n}: {\n  lastMessage: UI_MESSAGE | undefined;\n  messageId: string;\n}): StreamingUIMessageState<UI_MESSAGE> {\n  return {\n    message:\n      lastMessage?.role === 'assistant'\n        ? lastMessage\n        : ({\n            id: messageId,\n            metadata: undefined,\n            role: 'assistant',\n            parts: [] as UIMessagePart<\n              InferUIMessageData<UI_MESSAGE>,\n              InferUIMessageTools<UI_MESSAGE>\n            >[],\n          } as UI_MESSAGE),\n    activeTextParts: createIdMap(),\n    activeReasoningParts: createIdMap(),\n    partialToolCalls: createIdMap(),\n  };\n}\n\nexport function processUIMessageStream<UI_MESSAGE extends UIMessage>({\n  stream,\n  messageMetadataSchema,\n  dataPartSchemas,\n  runUpdateMessageJob,\n  onError,\n  onToolCall,\n  onData,\n}: {\n  // input stream is not fully typed yet:\n  stream: ReadableStream<UIMessageChunk>;\n  messageMetadataSchema?: FlexibleSchema<UI_MESSAGE['metadata']>;\n  dataPartSchemas?: UIDataTypesToSchemas<InferUIMessageData<UI_MESSAGE>>;\n  onToolCall?: (options: {\n    toolCall: InferUIMessageToolCall<UI_MESSAGE>;\n  }) => void | PromiseLike<void>;\n  onData?: (dataPart: DataUIPart<InferUIMessageData<UI_MESSAGE>>) => void;\n  runUpdateMessageJob: (\n    job: (options: {\n      state: StreamingUIMessageState<UI_MESSAGE>;\n      write: (options?: UIMessageStreamWriteOptions) => void;\n    }) => Promise<void>,\n  ) => Promise<void>;\n  onError: ErrorHandler;\n}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {\n  return stream.pipeThrough(\n    new TransformStream<UIMessageChunk, InferUIMessageChunk<UI_MESSAGE>>({\n      async transform(chunk, controller) {\n        await runUpdateMessageJob(async ({ state, write }) => {\n          function getCurrentStepParts() {\n            const parts = state.message.parts;\n            let currentStepStartIndex = parts.length - 1;\n\n            while (\n              currentStepStartIndex >= 0 &&\n              parts[currentStepStartIndex].type !== 'step-start'\n            ) {\n              currentStepStartIndex--;\n            }\n\n            return parts.slice(currentStepStartIndex + 1);\n          }\n\n          function getCurrentStepToolInvocations() {\n            return getCurrentStepParts().filter(isToolUIPart);\n          }\n\n          function getToolInvocation(toolCallId: string) {\n            const toolInvocations = getCurrentStepToolInvocations();\n\n            let toolInvocation = toolInvocations.find(\n              invocation => invocation.toolCallId === toolCallId,\n            );\n\n            if (toolInvocation == null) {\n              const parts = state.message.parts;\n\n              for (let i = parts.length - 1; i >= 0; i--) {\n                const part = parts[i];\n                if (isToolUIPart(part) && part.toolCallId === toolCallId) {\n                  toolInvocation = part;\n                  break;\n                }\n              }\n            }\n\n            if (toolInvocation == null) {\n              throw new UIMessageStreamError({\n                chunkType: 'tool-invocation',\n                chunkId: toolCallId,\n                message: `No tool invocation found for tool call ID \"${toolCallId}\".`,\n              });\n            }\n\n            return toolInvocation;\n          }\n\n          function getToolInvocationByApprovalId(approvalId: string) {\n            const toolInvocations = state.message.parts.filter(isToolUIPart);\n\n            const toolInvocation = toolInvocations.find(\n              invocation => invocation.approval?.id === approvalId,\n            );\n\n            if (toolInvocation == null) {\n              throw new UIMessageStreamError({\n                chunkType: 'tool-approval-response',\n                chunkId: approvalId,\n                message: `No tool invocation found for approval ID \"${approvalId}\".`,\n              });\n            }\n\n            return toolInvocation;\n          }\n\n          function updateToolPart(\n            options: {\n              toolName: keyof InferUIMessageTools<UI_MESSAGE> & string;\n              toolCallId: string;\n              providerExecuted?: boolean;\n              title?: string;\n              toolMetadata?: JSONObject;\n            } & (\n              | {\n                  state: 'input-streaming';\n                  input: unknown;\n                  providerExecuted?: boolean;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'input-available';\n                  input: unknown;\n                  providerExecuted?: boolean;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'output-available';\n                  input: unknown;\n                  output: unknown;\n                  providerExecuted?: boolean;\n                  preliminary?: boolean;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'output-error';\n                  input: unknown;\n                  rawInput?: unknown;\n                  errorText: string;\n                  providerExecuted?: boolean;\n                  providerMetadata?: ProviderMetadata;\n                }\n            ),\n            existingPart?: ToolUIPart<InferUIMessageTools<UI_MESSAGE>>,\n          ) {\n            const part =\n              existingPart ??\n              (getCurrentStepParts().find(\n                part =>\n                  isStaticToolUIPart(part) &&\n                  part.toolCallId === options.toolCallId,\n              ) as ToolUIPart<InferUIMessageTools<UI_MESSAGE>> | undefined);\n\n            const anyOptions = options as any;\n            const anyPart = part as any;\n\n            if (part != null) {\n              part.state = options.state;\n              anyPart.input = anyOptions.input;\n              anyPart.output = anyOptions.output;\n              anyPart.errorText = anyOptions.errorText;\n              anyPart.rawInput = anyOptions.rawInput;\n              anyPart.preliminary = anyOptions.preliminary;\n              if (options.title !== undefined) {\n                anyPart.title = options.title;\n              }\n              if (options.toolMetadata !== undefined) {\n                anyPart.toolMetadata = options.toolMetadata;\n              }\n              // once providerExecuted is set, it stays for streaming\n              anyPart.providerExecuted =\n                anyOptions.providerExecuted ?? part.providerExecuted;\n\n              const providerMetadata = anyOptions.providerMetadata;\n\n              if (providerMetadata != null) {\n                if (\n                  options.state === 'output-available' ||\n                  options.state === 'output-error'\n                ) {\n                  const resultPart = part as Extract<\n                    ToolUIPart<InferUIMessageTools<UI_MESSAGE>>,\n                    { state: 'output-available' | 'output-error' }\n                  >;\n\n                  resultPart.resultProviderMetadata = providerMetadata;\n                } else {\n                  part.callProviderMetadata = providerMetadata;\n                }\n              }\n            } else {\n              state.message.parts.push({\n                type: `tool-${options.toolName}`,\n                toolCallId: options.toolCallId,\n                state: options.state,\n                title: options.title,\n                ...(options.toolMetadata !== undefined\n                  ? { toolMetadata: options.toolMetadata }\n                  : {}),\n                input: anyOptions.input,\n                output: anyOptions.output,\n                rawInput: anyOptions.rawInput,\n                errorText: anyOptions.errorText,\n                providerExecuted: anyOptions.providerExecuted,\n                preliminary: anyOptions.preliminary,\n                ...(anyOptions.providerMetadata != null &&\n                (options.state === 'output-available' ||\n                  options.state === 'output-error')\n                  ? { resultProviderMetadata: anyOptions.providerMetadata }\n                  : {}),\n                ...(anyOptions.providerMetadata != null &&\n                !(\n                  options.state === 'output-available' ||\n                  options.state === 'output-error'\n                )\n                  ? { callProviderMetadata: anyOptions.providerMetadata }\n                  : {}),\n              } as ToolUIPart<InferUIMessageTools<UI_MESSAGE>>);\n            }\n          }\n\n          function updateDynamicToolPart(\n            options: {\n              toolName: keyof InferUIMessageTools<UI_MESSAGE> & string;\n              toolCallId: string;\n              providerExecuted?: boolean;\n              title?: string;\n              toolMetadata?: JSONObject;\n            } & (\n              | {\n                  state: 'input-streaming';\n                  input: unknown;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'input-available';\n                  input: unknown;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'output-available';\n                  input: unknown;\n                  output: unknown;\n                  preliminary: boolean | undefined;\n                  providerMetadata?: ProviderMetadata;\n                }\n              | {\n                  state: 'output-error';\n                  input: unknown;\n                  errorText: string;\n                  providerMetadata?: ProviderMetadata;\n                }\n            ),\n            existingPart?: DynamicToolUIPart,\n          ) {\n            const part =\n              existingPart ??\n              (getCurrentStepParts().find(\n                part =>\n                  part.type === 'dynamic-tool' &&\n                  part.toolCallId === options.toolCallId,\n              ) as DynamicToolUIPart | undefined);\n\n            const anyOptions = options as any;\n            const anyPart = part as any;\n\n            if (part != null) {\n              part.state = options.state;\n              anyPart.toolName = options.toolName;\n              anyPart.input = anyOptions.input;\n              anyPart.output = anyOptions.output;\n              anyPart.errorText = anyOptions.errorText;\n              anyPart.rawInput = anyOptions.rawInput ?? anyPart.rawInput;\n              anyPart.preliminary = anyOptions.preliminary;\n              if (options.title !== undefined) {\n                anyPart.title = options.title;\n              }\n              if (options.toolMetadata !== undefined) {\n                anyPart.toolMetadata = options.toolMetadata;\n              }\n              // once providerExecuted is set, it stays for streaming\n              anyPart.providerExecuted =\n                anyOptions.providerExecuted ?? part.providerExecuted;\n\n              const providerMetadata = anyOptions.providerMetadata;\n\n              if (providerMetadata != null) {\n                if (\n                  options.state === 'output-available' ||\n                  options.state === 'output-error'\n                ) {\n                  const resultPart = part as Extract<\n                    DynamicToolUIPart,\n                    { state: 'output-available' | 'output-error' }\n                  >;\n\n                  resultPart.resultProviderMetadata = providerMetadata;\n                } else {\n                  part.callProviderMetadata = providerMetadata;\n                }\n              }\n            } else {\n              state.message.parts.push({\n                type: 'dynamic-tool',\n                toolName: options.toolName,\n                toolCallId: options.toolCallId,\n                state: options.state,\n                input: anyOptions.input,\n                output: anyOptions.output,\n                errorText: anyOptions.errorText,\n                preliminary: anyOptions.preliminary,\n                providerExecuted: anyOptions.providerExecuted,\n                title: options.title,\n                ...(options.toolMetadata !== undefined\n                  ? { toolMetadata: options.toolMetadata }\n                  : {}),\n                ...(anyOptions.providerMetadata != null &&\n                (options.state === 'output-available' ||\n                  options.state === 'output-error')\n                  ? { resultProviderMetadata: anyOptions.providerMetadata }\n                  : {}),\n                ...(anyOptions.providerMetadata != null &&\n                !(\n                  options.state === 'output-available' ||\n                  options.state === 'output-error'\n                )\n                  ? { callProviderMetadata: anyOptions.providerMetadata }\n                  : {}),\n              } as DynamicToolUIPart);\n            }\n          }\n\n          async function updateMessageMetadata(metadata: unknown) {\n            if (metadata != null) {\n              const mergedMetadata =\n                state.message.metadata != null\n                  ? mergeObjects(state.message.metadata, metadata)\n                  : metadata;\n\n              if (messageMetadataSchema != null) {\n                await validateTypes({\n                  value: mergedMetadata,\n                  schema: messageMetadataSchema,\n                  context: {\n                    field: 'message.metadata',\n                    entityId: state.message.id,\n                  },\n                });\n              }\n\n              state.message.metadata =\n                mergedMetadata as InferUIMessageMetadata<UI_MESSAGE>;\n            }\n          }\n\n          switch (chunk.type) {\n            case 'text-start': {\n              const textPart: TextUIPart = {\n                type: 'text',\n                text: '',\n                providerMetadata: chunk.providerMetadata,\n                state: 'streaming',\n              };\n              state.activeTextParts[chunk.id] = textPart;\n              state.message.parts.push(textPart);\n              write();\n              break;\n            }\n\n            case 'text-delta': {\n              const textPart = state.activeTextParts[chunk.id];\n              if (textPart == null) {\n                throw new UIMessageStreamError({\n                  chunkType: 'text-delta',\n                  chunkId: chunk.id,\n                  message:\n                    `Received text-delta for missing text part with ID \"${chunk.id}\". ` +\n                    `Ensure a \"text-start\" chunk is sent before any \"text-delta\" chunks.`,\n                });\n              }\n              textPart.text += chunk.delta;\n              textPart.providerMetadata =\n                chunk.providerMetadata ?? textPart.providerMetadata;\n              write();\n              break;\n            }\n\n            case 'text-end': {\n              const textPart = state.activeTextParts[chunk.id];\n              if (textPart == null) {\n                throw new UIMessageStreamError({\n                  chunkType: 'text-end',\n                  chunkId: chunk.id,\n                  message:\n                    `Received text-end for missing text part with ID \"${chunk.id}\". ` +\n                    `Ensure a \"text-start\" chunk is sent before any \"text-end\" chunks.`,\n                });\n              }\n              textPart.state = 'done';\n              textPart.providerMetadata =\n                chunk.providerMetadata ?? textPart.providerMetadata;\n              delete state.activeTextParts[chunk.id];\n              write();\n              break;\n            }\n\n            case 'custom': {\n              const customPart: CustomContentUIPart = {\n                type: 'custom',\n                kind: chunk.kind,\n                providerMetadata: chunk.providerMetadata,\n              };\n              state.message.parts.push(customPart);\n              write();\n              break;\n            }\n\n            case 'reasoning-start': {\n              const reasoningPart: ReasoningUIPart = {\n                type: 'reasoning',\n                id: chunk.id,\n                text: '',\n                providerMetadata: chunk.providerMetadata,\n                state: 'streaming',\n              };\n              state.activeReasoningParts[chunk.id] = reasoningPart;\n              state.message.parts.push(reasoningPart);\n              write();\n              break;\n            }\n\n            case 'reasoning-delta': {\n              const reasoningPart = state.activeReasoningParts[chunk.id];\n              if (reasoningPart == null) {\n                throw new UIMessageStreamError({\n                  chunkType: 'reasoning-delta',\n                  chunkId: chunk.id,\n                  message:\n                    `Received reasoning-delta for missing reasoning part with ID \"${chunk.id}\". ` +\n                    `Ensure a \"reasoning-start\" chunk is sent before any \"reasoning-delta\" chunks.`,\n                });\n              }\n              reasoningPart.text += chunk.delta;\n              reasoningPart.providerMetadata =\n                chunk.providerMetadata ?? reasoningPart.providerMetadata;\n              write();\n              break;\n            }\n\n            case 'reasoning-end': {\n              const reasoningPart = state.activeReasoningParts[chunk.id];\n              if (reasoningPart == null) {\n                throw new UIMessageStreamError({\n                  chunkType: 'reasoning-end',\n                  chunkId: chunk.id,\n                  message:\n                    `Received reasoning-end for missing reasoning part with ID \"${chunk.id}\". ` +\n                    `Ensure a \"reasoning-start\" chunk is sent before any \"reasoning-end\" chunks.`,\n                });\n              }\n              reasoningPart.providerMetadata =\n                chunk.providerMetadata ?? reasoningPart.providerMetadata;\n              reasoningPart.state = 'done';\n              delete state.activeReasoningParts[chunk.id];\n\n              write();\n              break;\n            }\n\n            case 'file':\n            case 'reasoning-file': {\n              state.message.parts.push({\n                type: chunk.type,\n                mediaType: chunk.mediaType,\n                url: chunk.url,\n                ...(chunk.providerMetadata != null\n                  ? { providerMetadata: chunk.providerMetadata }\n                  : {}),\n              });\n\n              write();\n              break;\n            }\n\n            case 'source-url': {\n              state.message.parts.push({\n                type: 'source-url',\n                sourceId: chunk.sourceId,\n                url: chunk.url,\n                title: chunk.title,\n                providerMetadata: chunk.providerMetadata,\n              });\n\n              write();\n              break;\n            }\n\n            case 'source-document': {\n              state.message.parts.push({\n                type: 'source-document',\n                sourceId: chunk.sourceId,\n                mediaType: chunk.mediaType,\n                title: chunk.title,\n                filename: chunk.filename,\n                providerMetadata: chunk.providerMetadata,\n              });\n\n              write();\n              break;\n            }\n\n            case 'tool-input-start': {\n              const toolInvocations =\n                getCurrentStepParts().filter(isStaticToolUIPart);\n\n              // add the partial tool call to the map\n              state.partialToolCalls[chunk.toolCallId] = {\n                text: '',\n                toolName: chunk.toolName,\n                index: toolInvocations.length,\n                dynamic: chunk.dynamic,\n                title: chunk.title,\n                toolMetadata: chunk.toolMetadata,\n              };\n\n              if (chunk.dynamic) {\n                updateDynamicToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'input-streaming',\n                  input: undefined,\n                  providerExecuted: chunk.providerExecuted,\n                  title: chunk.title,\n                  toolMetadata: chunk.toolMetadata,\n                  providerMetadata: chunk.providerMetadata,\n                });\n              } else {\n                updateToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'input-streaming',\n                  input: undefined,\n                  providerExecuted: chunk.providerExecuted,\n                  title: chunk.title,\n                  toolMetadata: chunk.toolMetadata,\n                  providerMetadata: chunk.providerMetadata,\n                });\n              }\n\n              write();\n              break;\n            }\n\n            case 'tool-input-delta': {\n              const partialToolCall = state.partialToolCalls[chunk.toolCallId];\n              if (partialToolCall == null) {\n                throw new UIMessageStreamError({\n                  chunkType: 'tool-input-delta',\n                  chunkId: chunk.toolCallId,\n                  message:\n                    `Received tool-input-delta for missing tool call with ID \"${chunk.toolCallId}\". ` +\n                    `Ensure a \"tool-input-start\" chunk is sent before any \"tool-input-delta\" chunks.`,\n                });\n              }\n\n              partialToolCall.text += chunk.inputTextDelta;\n\n              const { value: partialArgs } = await parsePartialJson(\n                partialToolCall.text,\n              );\n\n              if (partialToolCall.dynamic) {\n                updateDynamicToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: partialToolCall.toolName,\n                  state: 'input-streaming',\n                  input: partialArgs,\n                  title: partialToolCall.title,\n                  toolMetadata: partialToolCall.toolMetadata,\n                });\n              } else {\n                updateToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: partialToolCall.toolName,\n                  state: 'input-streaming',\n                  input: partialArgs,\n                  title: partialToolCall.title,\n                  toolMetadata: partialToolCall.toolMetadata,\n                });\n              }\n\n              write();\n              break;\n            }\n\n            case 'tool-input-available': {\n              if (chunk.dynamic) {\n                updateDynamicToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'input-available',\n                  input: chunk.input,\n                  providerExecuted: chunk.providerExecuted,\n                  providerMetadata: chunk.providerMetadata,\n                  title: chunk.title,\n                  toolMetadata: chunk.toolMetadata,\n                });\n              } else {\n                updateToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'input-available',\n                  input: chunk.input,\n                  providerExecuted: chunk.providerExecuted,\n                  providerMetadata: chunk.providerMetadata,\n                  title: chunk.title,\n                  toolMetadata: chunk.toolMetadata,\n                });\n              }\n\n              write();\n\n              // invoke the onToolCall callback if it exists. This is blocking.\n              // In the future we should make this non-blocking, which\n              // requires additional state management for error handling etc.\n              // Skip calling onToolCall for provider-executed tools since they are already executed\n              if (onToolCall && !chunk.providerExecuted) {\n                await onToolCall({\n                  toolCall: chunk as InferUIMessageToolCall<UI_MESSAGE>,\n                });\n              }\n              break;\n            }\n\n            case 'tool-input-error': {\n              // When a part already exists for this toolCallId (e.g. from\n              // tool-input-start), honour its type so we update in place\n              // instead of creating a duplicate with a mismatched type.\n              const existingPart = getCurrentStepParts()\n                .filter(isToolUIPart)\n                .find(p => p.toolCallId === chunk.toolCallId);\n              const isDynamic =\n                existingPart != null\n                  ? existingPart.type === 'dynamic-tool'\n                  : !!chunk.dynamic;\n\n              if (isDynamic) {\n                updateDynamicToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'output-error',\n                  input: chunk.input,\n                  errorText: chunk.errorText,\n                  providerExecuted: chunk.providerExecuted,\n                  providerMetadata: chunk.providerMetadata,\n                  toolMetadata: chunk.toolMetadata,\n                });\n              } else {\n                updateToolPart({\n                  toolCallId: chunk.toolCallId,\n                  toolName: chunk.toolName,\n                  state: 'output-error',\n                  input: undefined,\n                  rawInput: chunk.input,\n                  errorText: chunk.errorText,\n                  providerExecuted: chunk.providerExecuted,\n                  providerMetadata: chunk.providerMetadata,\n                  toolMetadata: chunk.toolMetadata,\n                });\n              }\n\n              write();\n              break;\n            }\n\n            case 'tool-approval-request': {\n              const toolInvocation = getToolInvocation(chunk.toolCallId);\n              toolInvocation.state = 'approval-requested';\n              toolInvocation.approval = {\n                id: chunk.approvalId,\n                ...(chunk.isAutomatic === true ? { isAutomatic: true } : {}),\n                ...(chunk.signature != null\n                  ? { signature: chunk.signature }\n                  : {}),\n              };\n              write();\n              break;\n            }\n\n            case 'tool-approval-response': {\n              const toolInvocation = getToolInvocationByApprovalId(\n                chunk.approvalId,\n              );\n              const approval =\n                toolInvocation.approval == null\n                  ? { id: chunk.approvalId }\n                  : toolInvocation.approval;\n\n              toolInvocation.state = 'approval-responded';\n              toolInvocation.approval = {\n                id: chunk.approvalId,\n                approved: chunk.approved,\n                ...(chunk.reason != null ? { reason: chunk.reason } : {}),\n                ...(approval.isAutomatic === true ? { isAutomatic: true } : {}),\n                ...(approval.signature != null\n                  ? { signature: approval.signature }\n                  : {}),\n              };\n              if (chunk.providerExecuted != null) {\n                toolInvocation.providerExecuted = chunk.providerExecuted;\n              }\n              if (chunk.providerMetadata != null) {\n                toolInvocation.callProviderMetadata = chunk.providerMetadata;\n              }\n              write();\n              break;\n            }\n\n            case 'tool-output-denied': {\n              const toolInvocation = getToolInvocation(chunk.toolCallId);\n              toolInvocation.state = 'output-denied';\n              write();\n              break;\n            }\n\n            case 'tool-output-available': {\n              const toolInvocation = getToolInvocation(chunk.toolCallId);\n\n              if (toolInvocation.type === 'dynamic-tool') {\n                updateDynamicToolPart(\n                  {\n                    toolCallId: chunk.toolCallId,\n                    toolName: toolInvocation.toolName,\n                    state: 'output-available',\n                    input: (toolInvocation as any).input,\n                    output: chunk.output,\n                    preliminary: chunk.preliminary,\n                    providerExecuted: chunk.providerExecuted,\n                    providerMetadata: chunk.providerMetadata,\n                    title: toolInvocation.title,\n                    toolMetadata: toolInvocation.toolMetadata,\n                  },\n                  toolInvocation,\n                );\n              } else {\n                updateToolPart(\n                  {\n                    toolCallId: chunk.toolCallId,\n                    toolName: getStaticToolName(toolInvocation),\n                    state: 'output-available',\n                    input: (toolInvocation as any).input,\n                    output: chunk.output,\n                    providerExecuted: chunk.providerExecuted,\n                    preliminary: chunk.preliminary,\n                    providerMetadata: chunk.providerMetadata,\n                    title: toolInvocation.title,\n                    toolMetadata: toolInvocation.toolMetadata,\n                  },\n                  toolInvocation as ToolUIPart<InferUIMessageTools<UI_MESSAGE>>,\n                );\n              }\n\n              write();\n              break;\n            }\n\n            case 'tool-output-error': {\n              const toolInvocation = getToolInvocation(chunk.toolCallId);\n\n              if (toolInvocation.type === 'dynamic-tool') {\n                updateDynamicToolPart(\n                  {\n                    toolCallId: chunk.toolCallId,\n                    toolName: toolInvocation.toolName,\n                    state: 'output-error',\n                    input: (toolInvocation as any).input,\n                    errorText: chunk.errorText,\n                    providerExecuted: chunk.providerExecuted,\n                    providerMetadata: chunk.providerMetadata,\n                    title: toolInvocation.title,\n                    toolMetadata: toolInvocation.toolMetadata,\n                  },\n                  toolInvocation,\n                );\n              } else {\n                updateToolPart(\n                  {\n                    toolCallId: chunk.toolCallId,\n                    toolName: getStaticToolName(toolInvocation),\n                    state: 'output-error',\n                    input: (toolInvocation as any).input,\n                    rawInput: (toolInvocation as any).rawInput,\n                    errorText: chunk.errorText,\n                    providerExecuted: chunk.providerExecuted,\n                    providerMetadata: chunk.providerMetadata,\n                    title: toolInvocation.title,\n                    toolMetadata: toolInvocation.toolMetadata,\n                  },\n                  toolInvocation as ToolUIPart<InferUIMessageTools<UI_MESSAGE>>,\n                );\n              }\n\n              write();\n              break;\n            }\n\n            case 'start-step': {\n              // add a step boundary part to the message\n              state.message.parts.push({ type: 'step-start' });\n              break;\n            }\n\n            case 'finish-step': {\n              // reset the current text and reasoning parts\n              state.activeTextParts = createIdMap();\n              state.activeReasoningParts = createIdMap();\n              break;\n            }\n\n            case 'reset-step': {\n              const currentStepParts = getCurrentStepParts();\n\n              state.activeTextParts = createIdMap();\n              state.activeReasoningParts = createIdMap();\n              state.partialToolCalls = createIdMap();\n\n              if (currentStepParts.length > 0) {\n                state.message.parts.splice(\n                  state.message.parts.length - currentStepParts.length,\n                  currentStepParts.length,\n                );\n                write();\n              }\n              break;\n            }\n\n            case 'start': {\n              if (chunk.messageId != null) {\n                state.message.id = chunk.messageId;\n              }\n\n              await updateMessageMetadata(chunk.messageMetadata);\n\n              if (chunk.messageId != null || chunk.messageMetadata != null) {\n                write({ updateStatus: false });\n              }\n              break;\n            }\n\n            case 'finish': {\n              if (chunk.finishReason != null) {\n                state.finishReason = chunk.finishReason;\n              }\n              await updateMessageMetadata(chunk.messageMetadata);\n              if (chunk.messageMetadata != null) {\n                write();\n              }\n              break;\n            }\n\n            case 'message-metadata': {\n              await updateMessageMetadata(chunk.messageMetadata);\n              if (chunk.messageMetadata != null) {\n                write();\n              }\n              break;\n            }\n\n            case 'error': {\n              onError?.(new Error(chunk.errorText));\n              break;\n            }\n\n            default: {\n              if (isDataUIMessageChunk(chunk)) {\n                // validate data chunk if dataPartSchemas is provided\n                if (dataPartSchemas?.[chunk.type] != null) {\n                  const partIdx = state.message.parts.findIndex(\n                    p =>\n                      'id' in p &&\n                      'data' in p &&\n                      p.id === chunk.id &&\n                      p.type === chunk.type,\n                  );\n                  const actualPartIdx =\n                    partIdx >= 0 ? partIdx : state.message.parts.length;\n\n                  await validateTypes({\n                    value: chunk.data,\n                    schema: dataPartSchemas[chunk.type],\n                    context: {\n                      field: `message.parts[${actualPartIdx}].data`,\n                      entityName: chunk.type,\n                      entityId: chunk.id,\n                    },\n                  });\n                }\n\n                // cast, validation is done above\n                const dataChunk = chunk as DataUIMessageChunk<\n                  InferUIMessageData<UI_MESSAGE>\n                >;\n\n                // transient parts are not added to the message state\n                if (dataChunk.transient) {\n                  onData?.(dataChunk);\n                  break;\n                }\n\n                const existingUIPart =\n                  dataChunk.id != null\n                    ? (state.message.parts.find(\n                        chunkArg =>\n                          dataChunk.type === chunkArg.type &&\n                          dataChunk.id === chunkArg.id,\n                      ) as\n                        | DataUIPart<InferUIMessageData<UI_MESSAGE>>\n                        | undefined)\n                    : undefined;\n\n                if (existingUIPart != null) {\n                  existingUIPart.data = dataChunk.data;\n                } else {\n                  state.message.parts.push(dataChunk);\n                }\n\n                onData?.(dataChunk);\n\n                write();\n              }\n            }\n          }\n\n          controller.enqueue(chunk as InferUIMessageChunk<UI_MESSAGE>);\n        });\n      },\n    }),\n  );\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport {\n  providerMetadataSchema,\n  type ProviderMetadata,\n} from '../types/provider-metadata';\nimport { jsonValueSchema } from '../types/json-value';\nimport type { FinishReason } from '../types/language-model';\nimport type {\n  InferUIMessageData,\n  InferUIMessageMetadata,\n  UIDataTypes,\n  UIMessage,\n} from '../ui/ui-messages';\nimport type { ValueOf } from '../util/value-of';\nimport { z, type ZodType } from '../util/zod';\nimport { lazySchema, zodSchema } from '@ai-sdk/provider-utils';\n\nconst toolMetadataSchema: ZodType<JSONObject> = z.record(\n  z.string(),\n  jsonValueSchema.optional(),\n);\n\nexport const uiMessageChunkSchema = lazySchema(() =>\n  zodSchema<UIMessageChunk>(\n    z.union([\n      z.looseObject({\n        type: z.literal('text-start'),\n        id: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('text-delta'),\n        id: z.string(),\n        delta: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('text-end'),\n        id: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('error'),\n        errorText: z.string(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-input-start'),\n        toolCallId: z.string(),\n        toolName: z.string(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n        toolMetadata: toolMetadataSchema.optional(),\n        dynamic: z.boolean().optional(),\n        title: z.string().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-input-delta'),\n        toolCallId: z.string(),\n        inputTextDelta: z.string(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-input-available'),\n        toolCallId: z.string(),\n        toolName: z.string(),\n        input: z.unknown(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n        toolMetadata: toolMetadataSchema.optional(),\n        dynamic: z.boolean().optional(),\n        title: z.string().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-input-error'),\n        toolCallId: z.string(),\n        toolName: z.string(),\n        input: z.unknown(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n        toolMetadata: toolMetadataSchema.optional(),\n        dynamic: z.boolean().optional(),\n        errorText: z.string(),\n        title: z.string().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-approval-request'),\n        approvalId: z.string(),\n        toolCallId: z.string(),\n        isAutomatic: z.boolean().optional(),\n        signature: z.string().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-approval-response'),\n        approvalId: z.string(),\n        approved: z.boolean(),\n        reason: z.string().optional(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-output-available'),\n        toolCallId: z.string(),\n        output: z.unknown(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n        toolMetadata: toolMetadataSchema.optional(),\n        dynamic: z.boolean().optional(),\n        preliminary: z.boolean().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-output-error'),\n        toolCallId: z.string(),\n        errorText: z.string(),\n        providerExecuted: z.boolean().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n        toolMetadata: toolMetadataSchema.optional(),\n        dynamic: z.boolean().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('tool-output-denied'),\n        toolCallId: z.string(),\n      }),\n      z.looseObject({\n        type: z.literal('reasoning-start'),\n        id: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('reasoning-delta'),\n        id: z.string(),\n        delta: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('reasoning-end'),\n        id: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('custom'),\n        kind: z.string().transform(value => value as `${string}.${string}`),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('source-url'),\n        sourceId: z.string(),\n        url: z.string(),\n        title: z.string().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('source-document'),\n        sourceId: z.string(),\n        mediaType: z.string(),\n        title: z.string(),\n        filename: z.string().optional(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('file'),\n        url: z.string(),\n        mediaType: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.literal('reasoning-file'),\n        url: z.string(),\n        mediaType: z.string(),\n        providerMetadata: providerMetadataSchema.optional(),\n      }),\n      z.looseObject({\n        type: z.custom<`data-${string}`>(\n          (value): value is `data-${string}` =>\n            typeof value === 'string' && value.startsWith('data-'),\n          { message: 'Type must start with \"data-\"' },\n        ),\n        id: z.string().optional(),\n        data: z.unknown(),\n        transient: z.boolean().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('start-step'),\n      }),\n      z.looseObject({\n        type: z.literal('finish-step'),\n      }),\n      z.looseObject({\n        type: z.literal('reset-step'),\n      }),\n      z.looseObject({\n        type: z.literal('start'),\n        messageId: z.string().optional(),\n        messageMetadata: z.unknown().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('finish'),\n        finishReason: z\n          .enum([\n            'stop',\n            'length',\n            'content-filter',\n            'tool-calls',\n            'error',\n            'other',\n          ] as const satisfies readonly FinishReason[])\n          .optional(),\n        messageMetadata: z.unknown().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('abort'),\n        reason: z.string().optional(),\n      }),\n      z.looseObject({\n        type: z.literal('message-metadata'),\n        messageMetadata: z.unknown(),\n      }),\n    ]),\n  ),\n);\n\nexport type DataUIMessageChunk<DATA_TYPES extends UIDataTypes> = ValueOf<{\n  [NAME in keyof DATA_TYPES & string]: {\n    type: `data-${NAME}`;\n    id?: string;\n    data: DATA_TYPES[NAME];\n    transient?: boolean;\n  };\n}>;\n\nexport type UIMessageChunk<\n  METADATA = unknown,\n  DATA_TYPES extends UIDataTypes = UIDataTypes,\n> =\n  | {\n      type: 'text-start';\n      id: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'text-delta';\n      delta: string;\n      id: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'text-end';\n      id: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'reasoning-start';\n      id: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'reasoning-delta';\n      id: string;\n      delta: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'reasoning-end';\n      id: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'custom';\n      kind: `${string}.${string}`;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'error';\n      errorText: string;\n    }\n  | {\n      type: 'tool-input-available';\n      toolCallId: string;\n      toolName: string;\n      input: unknown;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n      toolMetadata?: JSONObject;\n      dynamic?: boolean;\n      title?: string;\n    }\n  | {\n      type: 'tool-input-error';\n      toolCallId: string;\n      toolName: string;\n      input: unknown;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n      toolMetadata?: JSONObject;\n      dynamic?: boolean;\n      errorText: string;\n      title?: string;\n    }\n  | {\n      type: 'tool-approval-request';\n      approvalId: string;\n      toolCallId: string;\n      isAutomatic?: boolean;\n      signature?: string;\n    }\n  | {\n      type: 'tool-approval-response';\n      approvalId: string;\n      approved: boolean;\n      reason?: string;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'tool-output-available';\n      toolCallId: string;\n      output: unknown;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n      toolMetadata?: JSONObject;\n      dynamic?: boolean;\n      preliminary?: boolean;\n    }\n  | {\n      type: 'tool-output-error';\n      toolCallId: string;\n      errorText: string;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n      toolMetadata?: JSONObject;\n      dynamic?: boolean;\n    }\n  | {\n      type: 'tool-output-denied';\n      toolCallId: string;\n    }\n  | {\n      type: 'tool-input-start';\n      toolCallId: string;\n      toolName: string;\n      providerExecuted?: boolean;\n      providerMetadata?: ProviderMetadata;\n      toolMetadata?: JSONObject;\n      dynamic?: boolean;\n      title?: string;\n    }\n  | {\n      type: 'tool-input-delta';\n      toolCallId: string;\n      inputTextDelta: string;\n    }\n  | {\n      type: 'source-url';\n      sourceId: string;\n      url: string;\n      title?: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'source-document';\n      sourceId: string;\n      mediaType: string;\n      title: string;\n      filename?: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'file';\n      url: string;\n      mediaType: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | {\n      type: 'reasoning-file';\n      url: string;\n      mediaType: string;\n      providerMetadata?: ProviderMetadata;\n    }\n  | DataUIMessageChunk<DATA_TYPES>\n  | {\n      type: 'start-step';\n    }\n  | {\n      type: 'finish-step';\n    }\n  | {\n      /**\n       * Removes all message parts added during the current step.\n       */\n      type: 'reset-step';\n    }\n  | {\n      type: 'start';\n      messageId?: string;\n      messageMetadata?: METADATA;\n    }\n  | {\n      type: 'finish';\n      finishReason?: FinishReason;\n      messageMetadata?: METADATA;\n    }\n  | {\n      type: 'abort';\n      reason?: string;\n    }\n  | {\n      type: 'message-metadata';\n      messageMetadata: METADATA;\n    };\n\nexport function isDataUIMessageChunk(\n  chunk: UIMessageChunk,\n): chunk is DataUIMessageChunk<UIDataTypes> {\n  return chunk.type.startsWith('data-');\n}\n\nexport type InferUIMessageChunk<T extends UIMessage> = UIMessageChunk<\n  InferUIMessageMetadata<T>,\n  InferUIMessageData<T>\n>;\n", "/**\n * Creates a string-keyed map without an object prototype.\n *\n * Use this for lookup tables keyed by IDs or names that may come from outside\n * the SDK, such as streamed chunk IDs or tool call IDs. Unlike `{}`, these maps\n * do not inherit `__proto__`, `constructor`, or other Object prototype members,\n * so a missing untrusted key cannot resolve to a shared prototype object.\n */\nexport function createIdMap<T>(): Record<string, T> {\n  return Object.create(null);\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport type {\n  InferToolInput,\n  InferToolOutput,\n  Tool,\n  ToolCall,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport type { ProviderReference } from '../types/provider-reference';\nimport type { DeepPartial } from '../util/deep-partial';\nimport type { ValueOf } from '../util/value-of';\n\n/**\n * The data types that can be used in the UI message for the UI message data parts.\n */\nexport type UIDataTypes = Record<string, unknown>;\n\nexport type UITool = {\n  input: unknown;\n  output: unknown | undefined;\n};\n\n/**\n * Infer the input and output types of a tool so it can be used as a UI tool.\n */\nexport type InferUITool<TOOL extends Tool> = {\n  input: InferToolInput<TOOL>;\n  output: InferToolOutput<TOOL>;\n};\n\n/**\n * Infer the input and output types of a tool set so it can be used as a UI tool set.\n */\nexport type InferUITools<TOOLS extends ToolSet> = {\n  [NAME in keyof TOOLS & string]: InferUITool<TOOLS[NAME]>;\n};\n\nexport type UITools = Record<string, UITool>;\n\n/**\n * AI SDK UI Messages. They are used in the client and to communicate between the frontend and the API routes.\n */\nexport interface UIMessage<\n  METADATA = unknown,\n  DATA_PARTS extends UIDataTypes = UIDataTypes,\n  TOOLS extends UITools = UITools,\n> {\n  /**\n   * A unique identifier for the message.\n   */\n  id: string;\n\n  /**\n   * The role of the message.\n   */\n  role: 'system' | 'user' | 'assistant';\n\n  /**\n   * The metadata of the message.\n   */\n  metadata?: METADATA;\n\n  /**\n   * The parts of the message. Use this for rendering the message in the UI.\n   *\n   * System messages should be avoided (set the system prompt on the server instead).\n   * They can have text parts.\n   *\n   * User messages can have text parts and file parts.\n   *\n   * Assistant messages can have text, reasoning, tool invocation, and file parts.\n   */\n  parts: Array<UIMessagePart<DATA_PARTS, TOOLS>>;\n}\n\nexport type UIMessagePart<\n  DATA_TYPES extends UIDataTypes,\n  TOOLS extends UITools,\n> =\n  | TextUIPart\n  | CustomContentUIPart\n  | ReasoningUIPart\n  | ToolUIPart<TOOLS>\n  | DynamicToolUIPart\n  | SourceUrlUIPart\n  | SourceDocumentUIPart\n  | FileUIPart\n  | ReasoningFileUIPart\n  | DataUIPart<DATA_TYPES>\n  | StepStartUIPart;\n\n/**\n * A text part of a message.\n */\nexport type TextUIPart = {\n  type: 'text';\n\n  /**\n   * The text content.\n   */\n  text: string;\n\n  /**\n   * The state of the text part.\n   */\n  state?: 'streaming' | 'done';\n\n  /**\n   * The provider metadata.\n   */\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A provider-specific part of a message.\n */\nexport type CustomContentUIPart = {\n  type: 'custom';\n\n  /**\n   * The kind of custom content, in the format `{provider}.{provider-type}`.\n   */\n  kind: `${string}.${string}`;\n\n  /**\n   * The provider metadata.\n   */\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A reasoning part of a message.\n */\nexport type ReasoningUIPart = {\n  type: 'reasoning';\n\n  /**\n   * The reasoning part ID.\n   */\n  id?: string;\n\n  /**\n   * The reasoning text.\n   */\n  text: string;\n\n  /**\n   * The state of the reasoning part.\n   */\n  state?: 'streaming' | 'done';\n\n  /**\n   * The provider metadata.\n   */\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A source part of a message.\n */\nexport type SourceUrlUIPart = {\n  type: 'source-url';\n  sourceId: string;\n  url: string;\n  title?: string;\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A document source part of a message.\n */\nexport type SourceDocumentUIPart = {\n  type: 'source-document';\n  sourceId: string;\n  mediaType: string;\n  title: string;\n  filename?: string;\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A file part of a message.\n */\nexport type FileUIPart = {\n  type: 'file';\n\n  /**\n   * Either a full IANA media type (`type/subtype`, e.g. `image/png`) or just\n   * the top-level IANA segment (e.g. `image`, `audio`, `video`, `text`).\n   *\n   * `*`-subtype wildcards (e.g. `image/*`) are normalized as equivalent to the\n   * top-level segment alone (e.g. `image`). Providers can use the helpers in\n   * `@ai-sdk/provider-utils` (`isFullMediaType`, `getTopLevelMediaType`,\n   * `detectMediaType`) to resolve the field according to their API\n   * requirements.\n   *\n   * @see https://www.iana.org/assignments/media-types/media-types.xhtml\n   */\n  mediaType: string;\n\n  /**\n   * Optional filename of the file.\n   */\n  filename?: string;\n\n  /**\n   * The URL of the file.\n   * It can either be a URL to a hosted file or a [Data URL](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs).\n   */\n  url: string;\n\n  /**\n   * Provider reference for files uploaded via `uploadFile`.\n   * Maps provider names to provider-specific file identifiers.\n   * When present, takes precedence over `url` in model messages.\n   */\n  providerReference?: ProviderReference;\n\n  /**\n   * The provider metadata.\n   */\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A reasoning file part of a message.\n */\nexport type ReasoningFileUIPart = {\n  type: 'reasoning-file';\n\n  /**\n   * IANA media type of the file.\n   *\n   * @see https://www.iana.org/assignments/media-types/media-types.xhtml\n   */\n  mediaType: string;\n\n  /**\n   * The URL of the file.\n   * It can either be a URL to a hosted file or a [Data URL](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs).\n   */\n  url: string;\n\n  /**\n   * The provider metadata.\n   */\n  providerMetadata?: ProviderMetadata;\n};\n\n/**\n * A step boundary part of a message.\n */\nexport type StepStartUIPart = {\n  type: 'step-start';\n};\n\nexport type DataUIPart<DATA_TYPES extends UIDataTypes> = ValueOf<{\n  [NAME in keyof DATA_TYPES & string]: {\n    type: `data-${NAME}`;\n    id?: string;\n    data: DATA_TYPES[NAME];\n  };\n}>;\n\ntype asUITool<TOOL extends UITool | Tool> = TOOL extends Tool\n  ? InferUITool<TOOL>\n  : TOOL;\n\n/**\n * Check if a message part is a data part.\n */\nexport function isDataUIPart<DATA_TYPES extends UIDataTypes>(\n  part: UIMessagePart<DATA_TYPES, UITools>,\n): part is DataUIPart<DATA_TYPES> {\n  return part.type.startsWith('data-');\n}\n\n/**\n * A UI tool invocation contains all the information needed to render a tool invocation in the UI.\n * It can be derived from a tool without knowing the tool name, and can be used to define\n * UI components for the tool.\n */\nexport type UIToolInvocation<TOOL extends UITool | Tool> = {\n  /**\n   * ID of the tool call.\n   */\n  toolCallId: string;\n  title?: string;\n  toolMetadata?: JSONObject;\n\n  /**\n   * Whether the tool call was executed by the provider.\n   */\n  providerExecuted?: boolean;\n} & (\n  | {\n      state: 'input-streaming';\n      input?: DeepPartial<asUITool<TOOL>['input']> | undefined;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval?: never;\n    }\n  | {\n      state: 'input-available';\n      input: asUITool<TOOL>['input'];\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval?: never;\n    }\n  | {\n      state: 'approval-requested';\n      input: asUITool<TOOL>['input'];\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved?: never;\n        reason?: never;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'approval-responded';\n      input: asUITool<TOOL>['input'];\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved: boolean;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-available';\n      input: asUITool<TOOL>['input'];\n      output: asUITool<TOOL>['output'];\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      resultProviderMetadata?: ProviderMetadata;\n      preliminary?: boolean;\n      approval?: {\n        id: string;\n        approved: true;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-error'; // TODO AI SDK 6: change to 'error' state\n      input: asUITool<TOOL>['input'] | undefined;\n      rawInput?: unknown; // TODO AI SDK 6: remove this field, input should be unknown\n      output?: never;\n      errorText: string;\n      callProviderMetadata?: ProviderMetadata;\n      resultProviderMetadata?: ProviderMetadata;\n      approval?: {\n        id: string;\n        approved: true;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-denied';\n      input: asUITool<TOOL>['input'];\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved: false;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n);\n\nexport type ToolUIPart<TOOLS extends UITools = UITools> = ValueOf<{\n  [NAME in keyof TOOLS & string]: {\n    type: `tool-${NAME}`;\n  } & UIToolInvocation<TOOLS[NAME]>;\n}>;\n\nexport type DynamicToolUIPart = {\n  type: 'dynamic-tool';\n\n  /**\n   * Name of the tool that is being called.\n   */\n  toolName: string;\n\n  /**\n   * ID of the tool call.\n   */\n  toolCallId: string;\n  title?: string;\n  toolMetadata?: JSONObject;\n\n  /**\n   * Whether the tool call was executed by the provider.\n   */\n  providerExecuted?: boolean;\n} & (\n  | {\n      state: 'input-streaming';\n      input?: unknown;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval?: never;\n    }\n  | {\n      state: 'input-available';\n      input: unknown;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval?: never;\n    }\n  | {\n      state: 'approval-requested';\n      input: unknown;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved?: never;\n        reason?: never;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'approval-responded';\n      input: unknown;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved: boolean;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-available';\n      input: unknown;\n      output: unknown;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      resultProviderMetadata?: ProviderMetadata;\n      preliminary?: boolean;\n      approval?: {\n        id: string;\n        approved: true;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-error'; // TODO AI SDK 6: change to 'error' state\n      input: unknown;\n      output?: never;\n      errorText: string;\n      callProviderMetadata?: ProviderMetadata;\n      resultProviderMetadata?: ProviderMetadata;\n      approval?: {\n        id: string;\n        approved: true;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n  | {\n      state: 'output-denied';\n      input: unknown;\n      output?: never;\n      errorText?: never;\n      callProviderMetadata?: ProviderMetadata;\n      approval: {\n        id: string;\n        approved: false;\n        reason?: string;\n        isAutomatic?: boolean;\n        signature?: string;\n      };\n    }\n);\n\n/**\n * Type guard to check if a message part is a text part.\n */\nexport function isTextUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is TextUIPart {\n  return part.type === 'text';\n}\n\n/**\n * Type guard to check if a message part is a custom part.\n */\nexport function isCustomContentUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is CustomContentUIPart {\n  return part.type === 'custom';\n}\n\n/**\n * Type guard to check if a message part is a file part.\n */\nexport function isFileUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is FileUIPart {\n  return part.type === 'file';\n}\n\n/**\n * Type guard to check if a message part is a reasoning file part.\n */\nexport function isReasoningFileUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is ReasoningFileUIPart {\n  return part.type === 'reasoning-file';\n}\n\n/**\n * Type guard to check if a message part is a reasoning part.\n */\nexport function isReasoningUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is ReasoningUIPart {\n  return part.type === 'reasoning';\n}\n\n/**\n * Check if a message part is a static tool part.\n *\n * Static tools are tools for which the types are known at development time.\n */\nexport function isStaticToolUIPart<TOOLS extends UITools>(\n  part: UIMessagePart<UIDataTypes, TOOLS>,\n): part is ToolUIPart<TOOLS> {\n  return part.type.startsWith('tool-');\n}\n\n/**\n * Check if a message part is a dynamic tool part.\n *\n * Dynamic tools are tools for which the input and output types are unknown.\n */\nexport function isDynamicToolUIPart(\n  part: UIMessagePart<UIDataTypes, UITools>,\n): part is DynamicToolUIPart {\n  return part.type === 'dynamic-tool';\n}\n\n/**\n * Check if a message part is a tool part.\n *\n * Tool parts are either static or dynamic tools.\n *\n * Use `isStaticToolUIPart` or `isDynamicToolUIPart` to check the type of the tool.\n */\nexport function isToolUIPart<TOOLS extends UITools>(\n  part: UIMessagePart<UIDataTypes, TOOLS>,\n): part is ToolUIPart<TOOLS> | DynamicToolUIPart {\n  return isStaticToolUIPart(part) || isDynamicToolUIPart(part);\n}\n\n/**\n * Returns the name of the static tool.\n *\n * The possible values are the keys of the tool set.\n */\nexport function getStaticToolName<TOOLS extends UITools>(\n  part: ToolUIPart<TOOLS>,\n): keyof TOOLS {\n  return part.type.split('-').slice(1).join('-') as keyof TOOLS;\n}\n\n/**\n * Returns the name of the tool (static or dynamic).\n *\n * This function will not restrict the name to the keys of the tool set.\n * If you need to restrict the name to the keys of the tool set, use `getStaticToolName` instead.\n */\nexport function getToolName(\n  part: ToolUIPart<UITools> | DynamicToolUIPart,\n): string {\n  return isDynamicToolUIPart(part) ? part.toolName : getStaticToolName(part);\n}\n\n/**\n * @deprecated Use getToolName instead.\n */\nexport const getToolOrDynamicToolName = getToolName;\n\nexport type InferUIMessageMetadata<T extends UIMessage> =\n  T extends UIMessage<infer METADATA> ? METADATA : unknown;\n\nexport type InferUIMessageData<T extends UIMessage> =\n  T extends UIMessage<unknown, infer DATA_TYPES> ? DATA_TYPES : UIDataTypes;\n\nexport type InferUIMessageTools<T extends UIMessage> =\n  T extends UIMessage<unknown, UIDataTypes, infer TOOLS> ? TOOLS : UITools;\n\nexport type InferUIMessageToolOutputs<UI_MESSAGE extends UIMessage> =\n  InferUIMessageTools<UI_MESSAGE>[keyof InferUIMessageTools<UI_MESSAGE>]['output'];\n\nexport type InferUIMessageToolCall<UI_MESSAGE extends UIMessage> =\n  | ValueOf<{\n      [NAME in keyof InferUIMessageTools<UI_MESSAGE>]: ToolCall<\n        NAME & string,\n        InferUIMessageTools<UI_MESSAGE>[NAME] extends { input: infer INPUT }\n          ? INPUT\n          : never\n      > & { dynamic?: false };\n    }>\n  | (ToolCall<string, unknown> & { dynamic: true });\n\nexport type InferUIMessagePart<UI_MESSAGE extends UIMessage> = UIMessagePart<\n  InferUIMessageData<UI_MESSAGE>,\n  InferUIMessageTools<UI_MESSAGE>\n>;\n", "import {\n  createStreamingUIMessageState,\n  processUIMessageStream,\n  type StreamingUIMessageState,\n  type UIMessageStreamWriteOptions,\n} from '../ui/process-ui-message-stream';\nimport type { UIMessage } from '../ui/ui-messages';\nimport type { ErrorHandler } from '../util/error-handler';\nimport type { InferUIMessageChunk, UIMessageChunk } from './ui-message-chunks';\nimport type { UIMessageStreamOnEndCallback } from './ui-message-stream-on-end-callback';\nimport type { UIMessageStreamOnStepEndCallback } from './ui-message-stream-on-step-end-callback';\nimport type { UIMessageStreamOnStepFinishCallback } from './ui-message-stream-on-step-finish-callback';\n\nexport function handleUIMessageStreamFinish<UI_MESSAGE extends UIMessage>({\n  messageId,\n  originalMessages = [],\n  onStepEnd,\n  onStepFinish,\n  onEnd,\n  onFinish,\n  onError,\n  stream,\n}: {\n  stream: ReadableStream<InferUIMessageChunk<UI_MESSAGE>>;\n\n  /**\n   * The message ID to use for the response message.\n   * If not provided, no id will be set for the response message.\n   */\n  messageId?: string;\n\n  /**\n   * The original messages.\n   */\n  originalMessages?: UI_MESSAGE[];\n\n  onError: ErrorHandler;\n\n  /**\n   * Callback that is called when each step ends during multi-step agent runs.\n   */\n  onStepEnd?: UIMessageStreamOnStepEndCallback<UI_MESSAGE>;\n\n  /**\n   * Callback that is called when each step ends during multi-step agent runs.\n   *\n   * @deprecated Use `onStepEnd` instead.\n   */\n  onStepFinish?: UIMessageStreamOnStepFinishCallback<UI_MESSAGE>;\n\n  onEnd?: UIMessageStreamOnEndCallback<UI_MESSAGE>;\n\n  /**\n   * @deprecated Use `onEnd` instead.\n   */\n  onFinish?: UIMessageStreamOnEndCallback<UI_MESSAGE>;\n}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {\n  // last message is only relevant for assistant messages\n  let lastMessage: UI_MESSAGE | undefined =\n    originalMessages?.[originalMessages.length - 1];\n  if (lastMessage?.role !== 'assistant') {\n    lastMessage = undefined;\n  } else {\n    // appending to the last message, so we need to use the same id\n    messageId = lastMessage.id;\n  }\n\n  let isAborted = false;\n\n  const idInjectedStream = stream.pipeThrough(\n    new TransformStream<\n      InferUIMessageChunk<UI_MESSAGE>,\n      InferUIMessageChunk<UI_MESSAGE>\n    >({\n      transform(chunk, controller) {\n        // when there is no messageId in the start chunk,\n        // but the user checked for persistence,\n        // inject the messageId into the chunk\n        if (chunk.type === 'start') {\n          const startChunk = chunk as UIMessageChunk & { type: 'start' };\n          if (startChunk.messageId == null && messageId != null) {\n            startChunk.messageId = messageId;\n          }\n        }\n\n        if (chunk.type === 'abort') {\n          isAborted = true;\n        }\n\n        controller.enqueue(chunk);\n      },\n    }),\n  );\n\n  // Only process the stream if we need to track state for callbacks\n  const resolvedOnStepEnd = onStepEnd ?? onStepFinish;\n  const resolvedOnEnd = onEnd ?? onFinish;\n\n  if (resolvedOnEnd == null && resolvedOnStepEnd == null) {\n    return idInjectedStream;\n  }\n\n  const state = createStreamingUIMessageState<UI_MESSAGE>({\n    lastMessage: lastMessage\n      ? (structuredClone(lastMessage) as UI_MESSAGE)\n      : undefined,\n    messageId: messageId ?? '', // will be overridden by the stream\n  });\n\n  const runUpdateMessageJob = async (\n    job: (options: {\n      state: StreamingUIMessageState<UI_MESSAGE>;\n      write: (options?: UIMessageStreamWriteOptions) => void;\n    }) => Promise<void>,\n  ) => {\n    await job({ state, write: () => {} });\n  };\n\n  let finishCalled = false;\n\n  const callOnEnd = async () => {\n    if (finishCalled || !resolvedOnEnd) {\n      return;\n    }\n    finishCalled = true;\n\n    const isContinuation = state.message.id === lastMessage?.id;\n    await resolvedOnEnd({\n      isAborted,\n      isContinuation,\n      responseMessage: state.message as UI_MESSAGE,\n      messages: [\n        ...(isContinuation ? originalMessages.slice(0, -1) : originalMessages),\n        state.message,\n      ] as UI_MESSAGE[],\n      finishReason: state.finishReason,\n    });\n  };\n\n  const callOnStepFinish = async () => {\n    if (!resolvedOnStepEnd) {\n      return;\n    }\n\n    const isContinuation = state.message.id === lastMessage?.id;\n\n    try {\n      await resolvedOnStepEnd({\n        isContinuation,\n        responseMessage: structuredClone(state.message) as UI_MESSAGE,\n        messages: [\n          ...(isContinuation\n            ? originalMessages.slice(0, -1)\n            : originalMessages),\n          structuredClone(state.message),\n        ] as UI_MESSAGE[],\n      });\n    } catch (error) {\n      onError(error);\n    }\n  };\n\n  return processUIMessageStream<UI_MESSAGE>({\n    stream: idInjectedStream,\n    runUpdateMessageJob,\n    onError,\n  }).pipeThrough(\n    new TransformStream<\n      InferUIMessageChunk<UI_MESSAGE>,\n      InferUIMessageChunk<UI_MESSAGE>\n    >({\n      async transform(chunk, controller) {\n        if (chunk.type === 'finish-step') {\n          await callOnStepFinish();\n        }\n\n        controller.enqueue(chunk);\n      },\n      // @ts-expect-error cancel is still new and missing from types https://developer.mozilla.org/en-US/docs/Web/API/TransformStream#browser_compatibility\n      async cancel() {\n        await callOnEnd();\n      },\n\n      async flush() {\n        await callOnEnd();\n      },\n    }),\n  );\n}\n", "import type { ToolSet } from '@ai-sdk/provider-utils';\nimport type { TextStreamPart } from '../generate-text/stream-text-result';\nimport type {\n  InferUIMessageData,\n  InferUIMessageMetadata,\n  UIMessage,\n} from '../ui/ui-messages';\nimport type { InferUIMessageChunk, UIMessageChunk } from './ui-message-chunks';\n\nexport type ToUIMessageChunkOptions<\n  TOOLS extends ToolSet = ToolSet,\n  UI_MESSAGE extends UIMessage = UIMessage,\n> = {\n  tools?: TOOLS;\n  sendReasoning?: boolean;\n  sendSources?: boolean;\n  sendStart?: boolean;\n  sendFinish?: boolean;\n  onError?: (error: unknown) => string;\n  messageMetadata?: InferUIMessageMetadata<UI_MESSAGE>;\n  responseMessageId?: string;\n};\n\n/**\n * Converts a single `TextStreamPart` (as emitted by `streamText`'s\n * `stream`) into a `UIMessageChunk`.\n *\n * Returns `undefined` for stream parts that do not produce UI message chunks.\n */\nexport function toUIMessageChunk<\n  TOOLS extends ToolSet = ToolSet,\n  UI_MESSAGE extends UIMessage = UIMessage,\n>(\n  part: TextStreamPart<TOOLS>,\n  {\n    tools,\n    sendReasoning = true,\n    sendSources = false,\n    sendStart = true,\n    sendFinish = true,\n    onError = () => 'An error occurred.', // prevent leaking server error details to the client by default\n    messageMetadata,\n    responseMessageId,\n  }: ToUIMessageChunkOptions<TOOLS, UI_MESSAGE> = {},\n): InferUIMessageChunk<UI_MESSAGE> | undefined {\n  // TODO simplify once dynamic is no longer needed for invalid tool inputs\n  const isDynamic = (toolPart: { toolName: string; dynamic?: boolean }) => {\n    const tool = tools?.[toolPart.toolName];\n\n    // provider-executed, dynamic tools are not listed in the tools object\n    if (tool == null) {\n      return toolPart.dynamic;\n    }\n\n    return tool?.type === 'dynamic' ? true : undefined;\n  };\n\n  const partType = part.type;\n  switch (partType) {\n    case 'text-start': {\n      return {\n        type: 'text-start',\n        id: part.id,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'text-delta': {\n      return {\n        type: 'text-delta',\n        id: part.id,\n        delta: part.text,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'text-end': {\n      return {\n        type: 'text-end',\n        id: part.id,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'reasoning-start':\n    case 'reasoning-end': {\n      if (!sendReasoning) {\n        return undefined;\n      }\n\n      return {\n        type: partType,\n        id: part.id,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'reasoning-delta': {\n      if (!sendReasoning) {\n        return undefined;\n      }\n\n      return {\n        type: 'reasoning-delta',\n        id: part.id,\n        delta: part.text,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'file':\n    case 'reasoning-file': {\n      if (partType === 'reasoning-file' && !sendReasoning) {\n        return undefined;\n      }\n\n      return {\n        type: part.type,\n        mediaType: part.file.mediaType,\n        url: `data:${part.file.mediaType};base64,${part.file.base64}`,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'source': {\n      if (!sendSources) {\n        return undefined;\n      }\n\n      if (part.sourceType === 'url') {\n        return {\n          type: 'source-url',\n          sourceId: part.id,\n          url: part.url,\n          title: part.title,\n          ...(part.providerMetadata != null\n            ? { providerMetadata: part.providerMetadata }\n            : {}),\n        };\n      }\n\n      if (part.sourceType === 'document') {\n        return {\n          type: 'source-document',\n          sourceId: part.id,\n          mediaType: part.mediaType,\n          title: part.title,\n          filename: part.filename,\n          ...(part.providerMetadata != null\n            ? { providerMetadata: part.providerMetadata }\n            : {}),\n        };\n      }\n\n      return undefined;\n    }\n\n    case 'custom': {\n      return {\n        type: 'custom',\n        kind: part.kind,\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n      };\n    }\n\n    case 'tool-input-start': {\n      const dynamic = isDynamic(part);\n\n      return {\n        type: 'tool-input-start',\n        toolCallId: part.id,\n        toolName: part.toolName,\n        ...(part.providerExecuted != null\n          ? { providerExecuted: part.providerExecuted }\n          : {}),\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n        ...(part.toolMetadata != null\n          ? { toolMetadata: part.toolMetadata }\n          : {}),\n        ...(dynamic != null ? { dynamic } : {}),\n        ...(part.title != null ? { title: part.title } : {}),\n      };\n    }\n\n    case 'tool-input-delta': {\n      return {\n        type: 'tool-input-delta',\n        toolCallId: part.id,\n        inputTextDelta: part.delta,\n      };\n    }\n\n    case 'tool-call': {\n      const dynamic = isDynamic(part);\n\n      if (part.invalid) {\n        return {\n          type: 'tool-input-error',\n          toolCallId: part.toolCallId,\n          toolName: part.toolName,\n          input: part.input,\n          ...(part.providerExecuted != null\n            ? { providerExecuted: part.providerExecuted }\n            : {}),\n          ...(part.providerMetadata != null\n            ? { providerMetadata: part.providerMetadata }\n            : {}),\n          ...(part.toolMetadata != null\n            ? { toolMetadata: part.toolMetadata }\n            : {}),\n          ...(dynamic != null ? { dynamic } : {}),\n          errorText: onError(part.error),\n          ...(part.title != null ? { title: part.title } : {}),\n        };\n      }\n\n      return {\n        type: 'tool-input-available',\n        toolCallId: part.toolCallId,\n        toolName: part.toolName,\n        input: part.input,\n        ...(part.providerExecuted != null\n          ? { providerExecuted: part.providerExecuted }\n          : {}),\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n        ...(part.toolMetadata != null\n          ? { toolMetadata: part.toolMetadata }\n          : {}),\n        ...(dynamic != null ? { dynamic } : {}),\n        ...(part.title != null ? { title: part.title } : {}),\n      };\n    }\n\n    case 'tool-approval-request': {\n      return {\n        type: 'tool-approval-request',\n        approvalId: part.approvalId,\n        toolCallId: part.toolCall.toolCallId,\n        ...(part.isAutomatic != null ? { isAutomatic: part.isAutomatic } : {}),\n        ...(part.signature != null ? { signature: part.signature } : {}),\n      };\n    }\n\n    case 'tool-approval-response': {\n      return {\n        type: 'tool-approval-response',\n        approvalId: part.approvalId,\n        approved: part.approved,\n        ...(part.reason != null ? { reason: part.reason } : {}),\n        ...(part.providerExecuted != null\n          ? { providerExecuted: part.providerExecuted }\n          : {}),\n      };\n    }\n\n    case 'tool-result': {\n      const dynamic = isDynamic(part);\n\n      return {\n        type: 'tool-output-available',\n        toolCallId: part.toolCallId,\n        // UI stream chunks are serialized as JSON, which drops undefined\n        // properties. Use null so tool outputs always keep the output field.\n        output: part.output === undefined ? null : part.output,\n        ...(part.providerExecuted != null\n          ? { providerExecuted: part.providerExecuted }\n          : {}),\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n        ...(part.toolMetadata != null\n          ? { toolMetadata: part.toolMetadata }\n          : {}),\n        ...(part.preliminary != null ? { preliminary: part.preliminary } : {}),\n        ...(dynamic != null ? { dynamic } : {}),\n      };\n    }\n\n    case 'tool-error': {\n      const dynamic = isDynamic(part);\n\n      return {\n        type: 'tool-output-error',\n        toolCallId: part.toolCallId,\n        errorText: part.providerExecuted\n          ? typeof part.error === 'string'\n            ? part.error\n            : JSON.stringify(part.error)\n          : onError(part.error),\n        ...(part.providerExecuted != null\n          ? { providerExecuted: part.providerExecuted }\n          : {}),\n        ...(part.providerMetadata != null\n          ? { providerMetadata: part.providerMetadata }\n          : {}),\n        ...(part.toolMetadata != null\n          ? { toolMetadata: part.toolMetadata }\n          : {}),\n        ...(dynamic != null ? { dynamic } : {}),\n      };\n    }\n\n    case 'tool-output-denied': {\n      return {\n        type: 'tool-output-denied',\n        toolCallId: part.toolCallId,\n      };\n    }\n\n    case 'error': {\n      return {\n        type: 'error',\n        errorText: onError(part.error),\n      };\n    }\n\n    case 'start-step': {\n      return { type: 'start-step' };\n    }\n\n    case 'finish-step': {\n      return { type: 'finish-step' };\n    }\n\n    case 'start': {\n      if (!sendStart) {\n        return undefined;\n      }\n\n      return {\n        type: 'start',\n        ...(messageMetadata != null ? { messageMetadata } : {}),\n        ...(responseMessageId != null ? { messageId: responseMessageId } : {}),\n      } as UIMessageChunk<\n        InferUIMessageMetadata<UI_MESSAGE>,\n        InferUIMessageData<UI_MESSAGE>\n      >;\n    }\n\n    case 'finish': {\n      if (!sendFinish) {\n        return undefined;\n      }\n\n      return {\n        type: 'finish',\n        finishReason: part.finishReason,\n        ...(messageMetadata != null ? { messageMetadata } : {}),\n      } as UIMessageChunk<\n        InferUIMessageMetadata<UI_MESSAGE>,\n        InferUIMessageData<UI_MESSAGE>\n      >;\n    }\n\n    case 'abort': {\n      return part;\n    }\n\n    case 'tool-input-end':\n    case 'raw': {\n      return undefined;\n    }\n\n    default: {\n      const exhaustiveCheck: never = partType;\n      throw new Error(`Unknown chunk type: ${exhaustiveCheck}`);\n    }\n  }\n}\n", "import type { ToolSet } from '@ai-sdk/provider-utils';\nimport type {\n  TextStreamPart,\n  UIMessageStreamOptions,\n} from '../generate-text/stream-text-result';\nimport type { UIMessage } from '../ui/ui-messages';\nimport { getResponseUIMessageId } from './get-response-ui-message-id';\nimport { handleUIMessageStreamFinish } from './handle-ui-message-stream-finish';\nimport type { InferUIMessageChunk } from './ui-message-chunks';\nimport { toUIMessageChunk } from './to-ui-message-chunk';\n\n/**\n * Converts a stream of `TextStreamPart<TOOLS>` chunks (as emitted by\n * `streamText`'s `stream`) into a stream of `UIMessageChunk`s suitable for\n * UI message streaming, including response message ID injection and\n * `onEnd` handling.\n */\nexport function toUIMessageStream<\n  TOOLS extends ToolSet = ToolSet,\n  UI_MESSAGE extends UIMessage = UIMessage,\n>({\n  stream,\n  tools,\n  sendReasoning = true,\n  sendSources = false,\n  sendStart = true,\n  sendFinish = true,\n  onError = () => 'An error occurred.', // prevent leaking server error details to the client by default\n  messageMetadata,\n  originalMessages,\n  generateMessageId,\n  onEnd,\n  onFinish,\n}: {\n  stream: ReadableStream<TextStreamPart<TOOLS>>;\n  tools?: TOOLS;\n} & UIMessageStreamOptions<UI_MESSAGE>): ReadableStream<\n  InferUIMessageChunk<UI_MESSAGE>\n> {\n  const responseMessageId =\n    generateMessageId != null\n      ? getResponseUIMessageId({\n          originalMessages,\n          responseMessageId: generateMessageId,\n        })\n      : undefined;\n\n  const uiMessageChunkStream = stream.pipeThrough(\n    new TransformStream({\n      transform: async (part, controller) => {\n        const messageMetadataValue = messageMetadata?.({ part });\n\n        const uiMessageChunk = toUIMessageChunk(part, {\n          tools,\n          sendReasoning,\n          sendSources,\n          sendStart,\n          sendFinish,\n          onError,\n          messageMetadata: messageMetadataValue,\n          responseMessageId,\n        });\n\n        if (uiMessageChunk != null) {\n          controller.enqueue(uiMessageChunk);\n        }\n\n        // start and finish events already include metadata in the converted\n        // chunk; for other part types emit a separate message-metadata chunk\n        if (\n          messageMetadataValue != null &&\n          part.type !== 'start' &&\n          part.type !== 'finish'\n        ) {\n          controller.enqueue({\n            type: 'message-metadata',\n            messageMetadata: messageMetadataValue,\n          });\n        }\n      },\n    }),\n  );\n\n  return handleUIMessageStreamFinish({\n    stream: uiMessageChunkStream,\n    messageId: responseMessageId ?? generateMessageId?.(),\n    originalMessages,\n    onEnd: onEnd ?? onFinish,\n    onError,\n  });\n}\n", "/**\n * A type that combines AsyncIterable and ReadableStream.\n * This allows a ReadableStream to be consumed using for-await-of syntax.\n */\nexport type AsyncIterableStream<T> = AsyncIterable<T> & ReadableStream<T>;\n\n/**\n * Wraps a ReadableStream and returns an object that is both a ReadableStream and an AsyncIterable.\n * This enables consumption of the stream using for-await-of, with proper resource cleanup on early exit or error.\n *\n * @template T The type of the stream's chunks.\n * @param source The source ReadableStream to wrap.\n * @returns An AsyncIterableStream that can be used as both a ReadableStream and an AsyncIterable.\n */\nexport function createAsyncIterableStream<T>(\n  source: ReadableStream<T>,\n): AsyncIterableStream<T> {\n  // Pipe through a TransformStream to ensure a fresh, unlocked stream.\n  return asAsyncIterableStream(source.pipeThrough(new TransformStream<T, T>()));\n}\n\n/**\n * Attaches the async iterator protocol to an existing ReadableStream in place,\n * turning it into an AsyncIterableStream without piping through an additional\n * TransformStream.\n *\n * Use this when the stream is already known to be fresh and exclusively owned\n * (e.g. the readable side of a TransformStream created for this consumer).\n * Adding an extra `pipeThrough` in that situation creates a chain of two\n * transforms fed by an active upstream pipe, which can surface a spurious\n * unhandled `undefined` rejection when the consumer cancels early (observed on\n * Node.js 26). {@link createAsyncIterableStream} wraps this after adding a\n * fresh transform for callers that may pass shared or locked streams.\n *\n * @template T The type of the stream's chunks.\n * @param stream The ReadableStream to augment. It must be fresh and unlocked.\n * @returns The same stream, augmented with the async iterator protocol.\n */\nexport function asAsyncIterableStream<T>(\n  stream: ReadableStream<T>,\n): AsyncIterableStream<T> {\n  /**\n   * Implements the async iterator protocol for the stream.\n   * Ensures proper cleanup (cancelling and releasing the reader) on completion, early exit, or error.\n   */\n  (stream as AsyncIterableStream<T>)[Symbol.asyncIterator] = function (\n    this: ReadableStream<T>,\n  ): AsyncIterator<T> {\n    const reader = this.getReader();\n\n    let finished = false;\n\n    /**\n     * Cleans up the reader by cancelling and releasing the lock.\n     */\n    async function cleanup(cancelStream: boolean) {\n      if (finished) return;\n\n      finished = true;\n      try {\n        if (cancelStream) {\n          await reader.cancel?.();\n        }\n      } finally {\n        try {\n          reader.releaseLock();\n        } catch {}\n      }\n    }\n\n    return {\n      /**\n       * Reads the next chunk from the stream.\n       * @returns A promise resolving to the next IteratorResult.\n       */\n      async next(): Promise<IteratorResult<T>> {\n        if (finished) {\n          return { done: true, value: undefined };\n        }\n\n        let result: ReadableStreamReadResult<T>;\n        try {\n          result = await reader.read();\n        } catch (error) {\n          await cleanup(false);\n          throw error;\n        }\n\n        const { done, value } = result;\n\n        if (done) {\n          await cleanup(true);\n          return { done: true, value: undefined };\n        }\n\n        return { done: false, value };\n      },\n\n      /**\n       * May be called on early exit (e.g., break from for-await) or after completion.\n       * Ensures the stream is cancelled and resources are released.\n       * @returns A promise resolving to a completed IteratorResult.\n       */\n      async return(): Promise<IteratorResult<T>> {\n        await cleanup(true);\n        return { done: true, value: undefined };\n      },\n\n      /**\n       * Called on early exit with error.\n       * Ensures the stream is cancelled and resources are released, then rethrows the error.\n       * @param err The error to throw.\n       * @returns A promise that rejects with the provided error.\n       */\n      async throw(err: unknown): Promise<IteratorResult<T>> {\n        await cleanup(true);\n        throw err;\n      },\n    };\n  };\n\n  return stream as AsyncIterableStream<T>;\n}\n", "/**\n * Consumes a ReadableStream until it's fully read.\n *\n * This function reads the stream chunk by chunk until the stream is exhausted.\n * It doesn't process or return the data from the stream; it simply ensures\n * that the entire stream is read.\n *\n * @param options - The options for consuming the stream.\n * @param options.stream - The ReadableStream to be consumed.\n * @param options.onError - Optional callback to handle errors that occur during consumption.\n * @returns A promise that resolves when the stream is fully consumed.\n */\nexport async function consumeStream({\n  stream,\n  onError,\n  abortSignal,\n}: {\n  stream: ReadableStream;\n  onError?: (error: unknown) => void;\n  abortSignal?: AbortSignal;\n}): Promise<void> {\n  const reader = stream.getReader();\n  const cancelOnAbort = () => {\n    reader.cancel().catch(() => {});\n  };\n\n  if (abortSignal?.aborted) {\n    cancelOnAbort();\n  } else {\n    abortSignal?.addEventListener('abort', cancelOnAbort, { once: true });\n  }\n\n  try {\n    while (true) {\n      const { done } = await reader.read();\n      if (done) break;\n    }\n  } catch (error) {\n    onError?.(error);\n  } finally {\n    abortSignal?.removeEventListener('abort', cancelOnAbort);\n    reader.releaseLock();\n  }\n}\n", "import type { ErrorHandler } from './error-handler';\n\n/**\n * Creates a Promise with externally accessible resolve and reject functions.\n *\n * @template T - The type of the value that the Promise will resolve to.\n * @returns An object containing:\n *   - promise: A Promise that can be resolved or rejected externally.\n *   - resolve: A function to resolve the Promise with a value of type T.\n *   - reject: A function to reject the Promise with an error.\n */\nexport function createResolvablePromise<T = any>(): {\n  promise: Promise<T>;\n  resolve: (value: T) => void;\n  reject: ErrorHandler;\n} {\n  let resolve: (value: T) => void;\n  let reject: ErrorHandler;\n\n  const promise = new Promise<T>((res, rej) => {\n    resolve = res;\n    reject = rej;\n  });\n\n  return {\n    promise,\n    resolve: resolve!,\n    reject: reject!,\n  };\n}\n", "import { createResolvablePromise } from './create-resolvable-promise';\n\n/**\n * Creates a stitchable stream that can pipe one stream at a time.\n *\n * @template T - The type of values emitted by the streams.\n * @returns {Object} An object containing the stitchable stream and control methods.\n */\nexport function createStitchableStream<T>(): {\n  stream: ReadableStream<T>;\n  addStream: (\n    innerStream: ReadableStream<T>,\n    callbacks?: {\n      onError?: (error: unknown) => void;\n      onCancel?: () => void;\n    },\n  ) => void;\n  close: () => void;\n  terminate: () => void;\n} {\n  let innerStreams: Array<{\n    reader: ReadableStreamDefaultReader<T>;\n    onError?: (error: unknown) => void;\n    onCancel?: () => void;\n  }> = [];\n  let controller: ReadableStreamDefaultController<T> | null = null;\n  let isClosed = false;\n  let waitForNewStream = createResolvablePromise<void>();\n\n  const terminate = () => {\n    isClosed = true;\n    waitForNewStream.resolve();\n\n    innerStreams.forEach(({ reader, onCancel }) => {\n      onCancel?.();\n      reader.cancel();\n    });\n    innerStreams = [];\n    controller?.close();\n  };\n\n  const processPull = async () => {\n    // Case 1: Outer stream is closed and no more inner streams\n    if (isClosed && innerStreams.length === 0) {\n      controller?.close();\n      return;\n    }\n\n    // Case 2: No inner streams available, but outer stream is open\n    // wait for a new inner stream to be added or the outer stream to close\n    if (innerStreams.length === 0) {\n      waitForNewStream = createResolvablePromise<void>();\n      await waitForNewStream.promise;\n      return await processPull();\n    }\n\n    const currentStream = innerStreams[0];\n\n    try {\n      const { value, done } = await currentStream.reader.read();\n\n      if (done) {\n        // Case 3: Current inner stream is done\n        innerStreams.shift(); // Remove the finished stream\n\n        if (innerStreams.length === 0 && isClosed) {\n          // when closed and no more inner streams, stop pulling\n          controller?.close();\n        } else {\n          // continue pulling from the next stream\n          await processPull();\n        }\n      } else {\n        // Case 4: Current inner stream returns an item\n        controller?.enqueue(value);\n      }\n    } catch (error) {\n      // Case 5: Current inner stream throws an error\n      currentStream.onError?.(error);\n      controller?.error(error);\n      innerStreams.shift(); // Remove the errored stream\n      terminate(); // we have errored, terminate all streams\n    }\n  };\n\n  return {\n    stream: new ReadableStream<T>({\n      start(controllerParam) {\n        controller = controllerParam;\n      },\n      pull: processPull,\n      async cancel() {\n        for (const { reader, onCancel } of innerStreams) {\n          onCancel?.();\n          await reader.cancel();\n        }\n        innerStreams = [];\n        isClosed = true;\n      },\n    }),\n    addStream: (\n      innerStream: ReadableStream<T>,\n      callbacks?: {\n        onError?: (error: unknown) => void;\n        onCancel?: () => void;\n      },\n    ) => {\n      if (isClosed) {\n        throw new Error('Cannot add inner stream: outer stream is closed');\n      }\n\n      innerStreams.push({\n        reader: innerStream.getReader(),\n        ...callbacks,\n      });\n      waitForNewStream.resolve();\n    },\n\n    /**\n     * Gracefully close the outer stream. This will let the inner streams\n     * finish processing and then close the outer stream.\n     */\n    close: () => {\n      isClosed = true;\n      waitForNewStream.resolve();\n\n      if (innerStreams.length === 0) {\n        controller?.close();\n      }\n    },\n\n    /**\n     * Immediately close the outer stream. This will cancel all inner streams\n     * and close the outer stream.\n     */\n    terminate,\n  };\n}\n", "import type {\n  Arrayable,\n  Context,\n  IdGenerator,\n  InferToolSetContext,\n  ModelMessage,\n  Experimental_SandboxSession as SandboxSession,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { TimeoutConfiguration } from '../prompt/request-options';\nimport type { Telemetry, TelemetryDispatcher } from '../telemetry/telemetry';\nimport { getOwn } from '../util/get-own';\nimport { executeToolCall } from './execute-tool-call';\nimport { isToolExecutionAllowedFinishReason } from './is-tool-execution-allowed-finish-reason';\nimport { resolveToolApproval } from './resolve-tool-approval';\nimport type { LanguageModelStreamPart } from './stream-language-model-call';\nimport { maybeSignApproval } from './tool-approval-signature';\nimport type { ToolApprovalConfiguration } from './tool-approval-configuration';\nimport type { TypedToolCall } from './tool-call';\nimport type {\n  OnToolExecutionEndCallback,\n  OnToolExecutionStartCallback,\n} from './tool-execution-events';\n\nexport type ToolExecutionEndStreamPart = {\n  type: 'tool-execution-end';\n  toolCallId: string;\n  toolExecutionMs: number;\n};\n\nexport type ExecuteToolsStreamPart<TOOLS extends ToolSet = ToolSet> =\n  | LanguageModelStreamPart<TOOLS>\n  | ToolExecutionEndStreamPart;\n\nexport function executeToolsFromStream<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context | unknown | never,\n>({\n  stream,\n  tools,\n  callId,\n  messages,\n  abortSignal,\n  timeout,\n  experimental_sandbox: sandbox,\n  toolsContext,\n  toolApproval,\n  runtimeContext,\n  toolApprovalSecret,\n  generateId,\n  onToolExecutionStart,\n  onToolExecutionEnd,\n  executeToolInTelemetryContext,\n  runInTracingChannelSpan,\n}: {\n  stream: ReadableStream<LanguageModelStreamPart<TOOLS>>;\n  tools: TOOLS | undefined;\n  callId: string;\n  messages: ModelMessage[];\n  abortSignal: AbortSignal | undefined;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  toolsContext: InferToolSetContext<TOOLS>;\n  toolApproval?: ToolApprovalConfiguration<TOOLS, RUNTIME_CONTEXT>;\n  runtimeContext: RUNTIME_CONTEXT;\n  toolApprovalSecret?: string | Uint8Array;\n  generateId: IdGenerator;\n  onToolExecutionStart?: Arrayable<OnToolExecutionStartCallback<TOOLS>>;\n  onToolExecutionEnd?: Arrayable<OnToolExecutionEndCallback<TOOLS>>;\n  executeToolInTelemetryContext?: Telemetry['executeTool'];\n  runInTracingChannelSpan?: NonNullable<\n    TelemetryDispatcher['runInTracingChannelSpan']\n  >;\n}): ReadableStream<ExecuteToolsStreamPart<TOOLS>> {\n  const toolCallsToExecute: Array<TypedToolCall<TOOLS>> = [];\n\n  // forward stream\n  return stream.pipeThrough(\n    new TransformStream<\n      LanguageModelStreamPart<TOOLS>,\n      ExecuteToolsStreamPart<TOOLS>\n    >({\n      async transform(\n        chunk: LanguageModelStreamPart<TOOLS>,\n        controller: TransformStreamDefaultController<\n          ExecuteToolsStreamPart<TOOLS>\n        >,\n      ) {\n        // immediately forward all chunks\n        controller.enqueue(chunk);\n\n        const chunkType = chunk.type;\n\n        switch (chunkType) {\n          case 'tool-call': {\n            if (chunk.invalid) {\n              return;\n            }\n\n            const tool = getOwn(tools, chunk.toolName);\n\n            if (tool == null) {\n              // ignore tool calls for tools that are not available,\n              // e.g. provider-executed dynamic tools\n              return;\n            }\n\n            const toolApprovalStatus = await resolveToolApproval({\n              tools,\n              toolCall: chunk,\n              toolApproval,\n              messages,\n              toolsContext,\n              runtimeContext,\n            });\n\n            // Tools that don't require approval ('not-applicable') must not\n            // consume an approval id, so that id generation stays stable for\n            // callers that rely on deterministic id sequences. They execute\n            // directly (when not provider-executed).\n            if (toolApprovalStatus.type === 'not-applicable') {\n              if (tool.execute != null && chunk.providerExecuted !== true) {\n                toolCallsToExecute.push(chunk);\n              }\n\n              return;\n            }\n\n            const approvalId = generateId();\n            const signature = await maybeSignApproval({\n              secret: toolApprovalSecret,\n              approvalId,\n              toolCallId: chunk.toolCallId,\n              toolName: chunk.toolName,\n              input: chunk.input,\n            });\n\n            switch (toolApprovalStatus.type) {\n              case 'user-approval': {\n                controller.enqueue({\n                  type: 'tool-approval-request',\n                  approvalId,\n                  toolCall: chunk,\n                  ...(signature != null ? { signature } : {}),\n                });\n\n                return; // don't execute tool\n              }\n\n              case 'denied': {\n                controller.enqueue({\n                  type: 'tool-approval-request',\n                  approvalId,\n                  toolCall: chunk,\n                  isAutomatic: true,\n                  ...(signature != null ? { signature } : {}),\n                });\n                controller.enqueue({\n                  type: 'tool-approval-response',\n                  approvalId,\n                  approved: false,\n                  toolCall: chunk,\n                  reason: toolApprovalStatus.reason,\n                  providerExecuted: chunk.providerExecuted,\n                });\n\n                return; // don't execute tool\n              }\n\n              case 'approved': {\n                controller.enqueue({\n                  type: 'tool-approval-request',\n                  approvalId,\n                  toolCall: chunk,\n                  isAutomatic: true,\n                  ...(signature != null ? { signature } : {}),\n                });\n                controller.enqueue({\n                  type: 'tool-approval-response',\n                  approvalId,\n                  approved: true,\n                  toolCall: chunk,\n                  reason: toolApprovalStatus.reason,\n                  providerExecuted: chunk.providerExecuted,\n                });\n\n                break; // continue with tool execution\n              }\n            }\n\n            // approved tool calls continue to execution (when not\n            // provider-executed):\n            if (tool.execute != null && chunk.providerExecuted !== true) {\n              toolCallsToExecute.push(chunk);\n            }\n\n            return;\n          }\n\n          case 'model-call-end': {\n            if (!isToolExecutionAllowedFinishReason(chunk.finishReason)) {\n              return;\n            }\n\n            await Promise.all(\n              toolCallsToExecute.map(async toolCall => {\n                try {\n                  // Note: we don't await the tool execution here (by leaving out 'await' on recordSpan),\n                  // because we want to process the next chunk as soon as possible.\n                  // This is important for the case where the tool execution takes a long time.\n                  const result = await executeToolCall({\n                    toolCall,\n                    tools,\n                    callId,\n                    messages,\n                    abortSignal,\n                    timeout,\n                    experimental_sandbox: sandbox,\n                    toolsContext,\n                    onToolExecutionStart,\n                    onToolExecutionEnd,\n                    executeToolInTelemetryContext,\n                    runInTracingChannelSpan,\n                    onPreliminaryToolResult: result => {\n                      controller.enqueue(result);\n                    },\n                  });\n                  if (result != null) {\n                    controller.enqueue({\n                      type: 'tool-execution-end',\n                      toolCallId: result.output.toolCallId,\n                      toolExecutionMs: result.toolExecutionMs,\n                    });\n                    controller.enqueue(result.output);\n                  }\n                } catch (error) {\n                  controller.enqueue({\n                    type: 'error',\n                    error,\n                  });\n                }\n              }),\n            );\n\n            return;\n          }\n        }\n      },\n    }),\n  );\n}\n", "import type { Context, ModelMessage, ToolSet } from '@ai-sdk/provider-utils';\nimport { createIdMap } from '../util/create-id-map';\nimport { getOwn } from '../util/get-own';\nimport type { LanguageModelStreamPart } from './stream-language-model-call';\n\nexport function invokeToolCallbacksFromStream<\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n>({\n  stream,\n  tools,\n  stepInputMessages,\n  abortSignal,\n  runtimeContext,\n}: {\n  stream: ReadableStream<LanguageModelStreamPart<TOOLS>>;\n  tools: TOOLS | undefined;\n  stepInputMessages: Array<ModelMessage>;\n  abortSignal: AbortSignal | undefined;\n  runtimeContext: RUNTIME_CONTEXT;\n}): ReadableStream<LanguageModelStreamPart<TOOLS>> {\n  if (tools == null) return stream;\n\n  const ongoingToolCallToolNames: Record<string, string> = createIdMap();\n\n  return stream.pipeThrough(\n    new TransformStream({\n      async transform(chunk, controller) {\n        controller.enqueue(chunk);\n\n        switch (chunk.type) {\n          case 'tool-input-start': {\n            ongoingToolCallToolNames[chunk.id] = chunk.toolName;\n\n            const tool = getOwn(tools, chunk.toolName);\n            if (tool?.onInputStart != null) {\n              await tool.onInputStart({\n                toolCallId: chunk.id,\n                messages: stepInputMessages,\n                abortSignal,\n                context: runtimeContext,\n              });\n            }\n\n            break;\n          }\n\n          case 'tool-input-delta': {\n            const toolName = ongoingToolCallToolNames[chunk.id];\n            const tool = getOwn(tools, toolName);\n\n            if (tool?.onInputDelta != null) {\n              await tool.onInputDelta({\n                inputTextDelta: chunk.delta,\n                toolCallId: chunk.id,\n                messages: stepInputMessages,\n                abortSignal,\n                context: runtimeContext,\n              });\n            }\n\n            break;\n          }\n\n          case 'tool-call': {\n            const toolName = ongoingToolCallToolNames[chunk.toolCallId];\n            const tool = getOwn(tools, toolName);\n\n            delete ongoingToolCallToolNames[chunk.toolCallId];\n\n            if (tool?.onInputAvailable != null) {\n              await tool.onInputAvailable({\n                input: chunk.input,\n                toolCallId: chunk.toolCallId,\n                messages: stepInputMessages,\n                abortSignal,\n                context: runtimeContext,\n              });\n            }\n          }\n        }\n      },\n    }),\n  );\n}\n", "import {\n  getErrorMessage,\n  type LanguageModelV4Prompt,\n  type LanguageModelV4StreamPart,\n  type SharedV4Headers,\n} from '@ai-sdk/provider';\nimport {\n  createIdGenerator,\n  type Arrayable,\n  type Experimental_SandboxSession as SandboxSession,\n  type IdGenerator,\n  type InferToolSetContext,\n  type ModelMessage,\n  type ProviderOptions,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport { ToolCallNotFoundForApprovalError } from '../error/tool-call-not-found-for-approval-error';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport { getOwn } from '../util/get-own';\nimport type { Instructions, Prompt } from '../prompt';\nimport { convertToLanguageModelPrompt } from '../prompt/convert-to-language-model-prompt';\nimport type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareToolChoice } from '../prompt/prepare-tool-choice';\nimport { prepareTools } from '../prompt/prepare-tools';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport type { Telemetry } from '../telemetry/telemetry';\nimport type {\n  CallWarning,\n  FinishReason,\n  LanguageModel,\n  ToolChoice,\n} from '../types/language-model';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport { asLanguageModelUsage, type LanguageModelUsage } from '../types/usage';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport type { DownloadFunction } from '../util/download/download-function';\nimport { notify } from '../util/notify';\nimport { now as originalNow } from '../util/now';\nimport { calculateTokensPerSecond } from './calculate-tokens-per-second';\nimport type { ContentPart } from './content-part';\nimport { DefaultGeneratedFileWithType } from './generated-file';\nimport type { OutputChunkTimingStats } from './step-result';\nimport type {\n  OnLanguageModelCallEndCallback,\n  OnLanguageModelCallStartCallback,\n} from './language-model-events';\nimport type { Output } from './output';\nimport { parseToolCall } from './parse-tool-call';\nimport type {\n  TextStreamFilePart,\n  TextStreamPart,\n  TextStreamReasoningDeltaPart,\n  TextStreamReasoningFilePart,\n  TextStreamTextDeltaPart,\n  TextStreamToolApprovalRequestPart,\n  TextStreamToolApprovalResponsePart,\n  TextStreamToolCallPart,\n  TextStreamToolErrorPart,\n  TextStreamToolResultPart,\n} from './stream-text-result';\nimport { sumTokenCounts } from './sum-token-counts';\nimport type { TypedToolCall } from './tool-call';\nimport type { ToolCallRepairFunction } from './tool-call-repair-function';\nimport type { TypedToolError } from './tool-error';\nimport type { ToolInputRefinement } from './tool-input-refinement';\nimport type { ToolOrder } from './tool-order';\nimport type { TypedToolResult } from './tool-result';\n\nconst originalGenerateId = createIdGenerator({\n  prefix: 'aitxt',\n  size: 24,\n});\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\nexport type LanguageModelStreamPart<TOOLS extends ToolSet = ToolSet> =\n  | Exclude<\n      TextStreamPart<TOOLS>,\n      {\n        type:\n          | 'finish'\n          | 'stream-start'\n          | 'tool-output-denied'\n          | 'start-step'\n          | 'finish-step'\n          | 'start'\n          | 'abort';\n      }\n    >\n  | TextStreamTextDeltaPart\n  | TextStreamReasoningDeltaPart\n  | TextStreamFilePart\n  | TextStreamReasoningFilePart\n  | TextStreamToolApprovalRequestPart<TOOLS>\n  | TextStreamToolApprovalResponsePart<TOOLS>\n  | TextStreamToolCallPart<TOOLS>\n  | TextStreamToolResultPart<TOOLS>\n  | TextStreamToolErrorPart<TOOLS>\n  | {\n      type: 'model-call-end';\n      finishReason: FinishReason;\n      rawFinishReason: string | undefined;\n      usage: LanguageModelUsage;\n      providerMetadata?: ProviderMetadata;\n      performance: {\n        responseTimeMs: number;\n        effectiveOutputTokensPerSecond: number;\n        outputTokensPerSecond: number | undefined;\n        inputTokensPerSecond: number | undefined;\n        effectiveTotalTokensPerSecond: number;\n        timeToFirstOutputMs: number | undefined;\n        timeBetweenOutputChunksMs?: OutputChunkTimingStats;\n      };\n    }\n  | {\n      type: 'model-call-start';\n      warnings: Array<CallWarning>;\n    }\n  | {\n      type: 'model-call-response-metadata';\n\n      /**\n       * ID for the generated response, if the provider sends one.\n       */\n      id?: string;\n\n      /**\n       * Timestamp for the start of the generated response, if the provider sends one.\n       */\n      timestamp?: Date;\n\n      /**\n       * The ID of the response model that was used to generate the response, if the provider sends one.\n       */\n      modelId?: string;\n    };\n\n/**\n * Streams a single language model call after standardizing the prompt and tools.\n *\n * The returned stream emits model call parts together with request and response\n * metadata when available.\n *\n * @param model - The language model to use.\n * @param tools - Tools that are accessible to and can be called by the model. The model needs to support calling tools.\n * @param output - Output configuration that controls the response format requested from the model.\n * @param toolChoice - The tool choice strategy for the model call.\n *\n * @param system - A system message that will be part of the prompt.\n * @param prompt - A simple text prompt. You can either use `prompt` or `messages` but not both.\n * @param messages - A list of messages. You can either use `prompt` or `messages` but not both.\n * @param allowSystemInMessages - Whether system messages are allowed in the `prompt` or `messages` fields. Default: false.\n *\n * @param maxOutputTokens - Maximum number of tokens to generate.\n * @param temperature - Temperature setting.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topP - Nucleus sampling.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topK - Only sample from the top K options for each subsequent token.\n * Used to remove \"long tail\" low probability responses.\n * Recommended for advanced use cases only. You usually only need to use temperature.\n * @param presencePenalty - Presence penalty setting.\n * It affects the likelihood of the model to repeat information that is already in the prompt.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param frequencyPenalty - Frequency penalty setting.\n * It affects the likelihood of the model to repeatedly use the same words or phrases.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param stopSequences - Stop sequences.\n * If set, the model will stop generating text when one of the stop sequences is generated.\n * @param seed - The seed (integer) to use for random sampling.\n * If set and supported by the model, calls will generate deterministic results.\n * @param reasoning - Reasoning configuration for the model call.\n *\n * @param download - A function that downloads URLs as part of prompt conversion.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request.\n * @param includeRawChunks - Whether to include raw provider stream chunks in the model stream.\n * @param providerOptions - Additional provider-specific options.\n * @param repairToolCall - A function that can repair invalid tool calls before they are emitted.\n * @param refineToolInput - Optional mapping of tool names to functions that refine parsed tool inputs before they are emitted, used for telemetry, or executed.\n * @param onStart - A callback that receives the fully converted prompt before the model call starts.\n *\n * @returns A stream of model call parts together with request and response metadata when available.\n */\nexport async function streamLanguageModelCall<\n  TOOLS extends ToolSet,\n  OUTPUT extends Output = Output,\n>({\n  model,\n  tools,\n  toolOrder,\n  output,\n  toolChoice,\n  prompt,\n  system,\n  instructions,\n  messages,\n  allowSystemInMessages,\n  download,\n  abortSignal,\n  headers,\n  includeRawChunks,\n  providerOptions,\n  repairToolCall,\n  refineToolInput,\n  executeLanguageModelCallInTelemetryContext = async ({ execute }) =>\n    await execute(),\n  callId,\n  toolsContext,\n  experimental_sandbox: sandbox,\n  _internal: {\n    generateId = originalGenerateId,\n    generateCallId = originalGenerateCallId,\n    now = originalNow,\n  } = {},\n  onStart,\n  onLanguageModelCallStart,\n  onLanguageModelCallEnd,\n  ...callSettings\n}: {\n  model: LanguageModel;\n  tools?: TOOLS;\n  toolOrder?: ToolOrder<TOOLS>;\n  output?: OUTPUT;\n  toolChoice?: ToolChoice<TOOLS>;\n  download?: DownloadFunction;\n  abortSignal?: AbortSignal;\n  headers?: Record<string, string | undefined>;\n  includeRawChunks?: boolean;\n  providerOptions?: ProviderOptions;\n  repairToolCall?: ToolCallRepairFunction<TOOLS> | undefined;\n  refineToolInput?: ToolInputRefinement<TOOLS> | undefined;\n  executeLanguageModelCallInTelemetryContext?: Telemetry['executeLanguageModelCall'];\n  callId?: string;\n  /**\n   * Tool context used to resolve per-call tool metadata such as function\n   * descriptions before sending tools to the model.\n   */\n  toolsContext?: InferToolSetContext<TOOLS>;\n  /**\n   * Sandbox session passed through for resolving tool descriptions that depend on it.\n   */\n  experimental_sandbox?: SandboxSession;\n  _internal?: {\n    generateId?: IdGenerator;\n    generateCallId?: IdGenerator;\n    now?: () => number;\n  };\n  onLanguageModelCallStart?: Arrayable<OnLanguageModelCallStartCallback>;\n  onLanguageModelCallEnd?: Arrayable<OnLanguageModelCallEndCallback<TOOLS>>;\n\n  // onStart is currently required because the telemetry callbacks need\n  // LanguageModelV4Prompt and we only want download URLs at most once.\n  // Therefore convertToLanguageModelPrompt can only be called once\n  // per step and the resulting LanguageModelV4Prompt needs to be\n  // passed to the onStart callback.\n  //\n  // TODO explore decoupling by changing the telemetry callbacks to accept\n  // a Prompt or a standardized Prompt.\n  onStart?: (args: {\n    promptMessages: LanguageModelV4Prompt;\n  }) => Promise<void> | void;\n} & Prompt &\n  LanguageModelCallOptions): Promise<{\n  stream: AsyncIterableStream<LanguageModelStreamPart<TOOLS>>;\n  request?: {\n    /**\n     * Request HTTP body that was sent to the provider API.\n     */\n    body?: unknown;\n  };\n  response?: {\n    /**\n     * Response headers.\n     */\n    headers?: SharedV4Headers;\n  };\n}> {\n  const resolvedModel = resolveLanguageModel(model);\n  const effectiveCallId = callId ?? generateCallId();\n\n  const standardizedPrompt = await standardizePrompt({\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n  } as Prompt);\n\n  const promptMessages = await convertToLanguageModelPrompt({\n    prompt: {\n      instructions: standardizedPrompt.instructions,\n      messages: standardizedPrompt.messages,\n    },\n    supportedUrls: await resolvedModel.supportedUrls,\n    download,\n    provider: resolvedModel.provider.split('.')[0],\n  });\n\n  const stepTools = await prepareTools({\n    tools,\n    toolOrder,\n    toolsContext,\n    experimental_sandbox: sandbox,\n  });\n\n  const stepToolChoice = prepareToolChoice({\n    toolChoice,\n  });\n\n  await notify({\n    event: { promptMessages },\n    callbacks: onStart,\n  });\n\n  const languageModelCallContext = {\n    provider: resolvedModel.provider,\n    modelId: resolvedModel.modelId,\n    instructions: standardizedPrompt.instructions,\n    messages: standardizedPrompt.messages,\n    tools: stepTools,\n    ...callSettings,\n  };\n  const languageModelCallStartEvent = {\n    callId: effectiveCallId,\n    ...languageModelCallContext,\n  };\n\n  await notify({\n    event: languageModelCallStartEvent,\n    callbacks: onLanguageModelCallStart,\n  });\n\n  const callStartTimestampMs = now();\n\n  const {\n    stream: languageModelStream,\n    response,\n    request,\n  } = await executeLanguageModelCallInTelemetryContext({\n    ...languageModelCallStartEvent,\n    execute: async () =>\n      await resolvedModel.doStream({\n        ...callSettings,\n        tools: stepTools,\n        toolChoice: stepToolChoice,\n        responseFormat: await output?.responseFormat,\n        prompt: promptMessages,\n        providerOptions,\n        abortSignal,\n        headers,\n        includeRawChunks,\n      }),\n  });\n\n  const standardizedStream = languageModelStream.pipeThrough(\n    createLanguageModelV4StreamPartToLanguageModelStreamPartTransform({\n      tools,\n      instructions: standardizedPrompt.instructions,\n      messages: standardizedPrompt.messages,\n      repairToolCall,\n      refineToolInput,\n      callId: effectiveCallId,\n      provider: resolvedModel.provider,\n      modelId: resolvedModel.modelId,\n      generateId,\n      now,\n      callStartTimestampMs,\n      onLanguageModelCallEnd,\n    }),\n  );\n\n  return {\n    stream: createAsyncIterableStream(standardizedStream),\n    response,\n    request,\n  };\n}\n\n// Java Loves You.\nfunction createLanguageModelV4StreamPartToLanguageModelStreamPartTransform<\n  TOOLS extends ToolSet,\n>({\n  tools,\n  instructions,\n  messages,\n  repairToolCall,\n  refineToolInput,\n  callId,\n  provider,\n  modelId,\n  generateId,\n  now,\n  callStartTimestampMs,\n  onLanguageModelCallEnd,\n}: {\n  tools: TOOLS | undefined;\n  instructions: Instructions | undefined;\n  messages: ModelMessage[];\n  repairToolCall: ToolCallRepairFunction<TOOLS> | undefined;\n  refineToolInput: ToolInputRefinement<TOOLS> | undefined;\n  callId: string;\n  provider: string;\n  modelId: string;\n  generateId: IdGenerator;\n  now: () => number;\n  callStartTimestampMs: number;\n  onLanguageModelCallEnd?: Arrayable<OnLanguageModelCallEndCallback<TOOLS>>;\n}) {\n  // keep track of parsed tool calls so provider-emitted approval requests can reference them\n  // keep track of tool inputs for provider-side tool results\n  const toolCallsByToolCallId = new Map<string, TypedToolCall<TOOLS>>();\n  const modelCallContent: Array<ContentPart<TOOLS>> = [];\n  const textPartIndexes = new Map<string, number>();\n  const reasoningPartIndexes = new Map<string, number>();\n  let responseId = generateId();\n  let responseModelId = modelId;\n  let timeToFirstOutputMs: number | undefined;\n  let previousOutputChunkTimestampMs: number | undefined;\n  const timeBetweenOutputChunksMs: number[] = [];\n\n  return new TransformStream<\n    LanguageModelV4StreamPart,\n    LanguageModelStreamPart<TOOLS>\n  >({\n    async transform(chunk, controller) {\n      if (isOutputChunk(chunk)) {\n        const outputChunkTimestampMs = now();\n\n        if (timeToFirstOutputMs == null) {\n          timeToFirstOutputMs = outputChunkTimestampMs - callStartTimestampMs;\n        } else if (previousOutputChunkTimestampMs != null) {\n          timeBetweenOutputChunksMs.push(\n            outputChunkTimestampMs - previousOutputChunkTimestampMs,\n          );\n        }\n\n        previousOutputChunkTimestampMs = outputChunkTimestampMs;\n      }\n\n      switch (chunk.type) {\n        case 'text-start':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: textPartIndexes,\n            id: chunk.id,\n            type: 'text',\n            providerMetadata: chunk.providerMetadata,\n          });\n          controller.enqueue(chunk);\n          break;\n\n        case 'text-delta':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: textPartIndexes,\n            id: chunk.id,\n            type: 'text',\n            textDelta: chunk.delta,\n            providerMetadata: chunk.providerMetadata,\n          });\n          controller.enqueue({\n            type: 'text-delta',\n            id: chunk.id,\n            text: chunk.delta,\n            providerMetadata: chunk.providerMetadata,\n          });\n          break;\n\n        case 'text-end':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: textPartIndexes,\n            id: chunk.id,\n            type: 'text',\n            providerMetadata: chunk.providerMetadata,\n          });\n          textPartIndexes.delete(chunk.id);\n          controller.enqueue(chunk);\n          break;\n\n        case 'reasoning-start':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: reasoningPartIndexes,\n            id: chunk.id,\n            type: 'reasoning',\n            providerMetadata: chunk.providerMetadata,\n          });\n          controller.enqueue(chunk);\n          break;\n\n        case 'reasoning-delta':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: reasoningPartIndexes,\n            id: chunk.id,\n            type: 'reasoning',\n            textDelta: chunk.delta,\n            providerMetadata: chunk.providerMetadata,\n          });\n          controller.enqueue({\n            type: 'reasoning-delta',\n            id: chunk.id,\n            text: chunk.delta,\n            providerMetadata: chunk.providerMetadata,\n          });\n          break;\n\n        case 'reasoning-end':\n          upsertTextContentPart({\n            content: modelCallContent,\n            partIndexes: reasoningPartIndexes,\n            id: chunk.id,\n            type: 'reasoning',\n            providerMetadata: chunk.providerMetadata,\n          });\n          reasoningPartIndexes.delete(chunk.id);\n          controller.enqueue(chunk);\n          break;\n\n        case 'file':\n        case 'reasoning-file': {\n          const file = new DefaultGeneratedFileWithType({\n            data:\n              chunk.data.type === 'data'\n                ? chunk.data.data\n                : chunk.data.url.toString(),\n            mediaType: chunk.mediaType,\n          });\n\n          modelCallContent.push({\n            type: chunk.type,\n            file,\n            ...(chunk.providerMetadata != null\n              ? { providerMetadata: chunk.providerMetadata }\n              : {}),\n          });\n\n          controller.enqueue({\n            type: chunk.type,\n            file,\n            providerMetadata: chunk.providerMetadata,\n          });\n          break;\n        }\n\n        case 'finish': {\n          const usage = asLanguageModelUsage(chunk.usage);\n          const responseTimeMs = now() - callStartTimestampMs;\n          const performance = {\n            responseTimeMs,\n            effectiveOutputTokensPerSecond: calculateTokensPerSecond({\n              tokens: usage.outputTokens,\n              durationMs: responseTimeMs,\n            }),\n            outputTokensPerSecond:\n              timeToFirstOutputMs == null\n                ? undefined\n                : calculateTokensPerSecond({\n                    tokens: usage.outputTokens,\n                    durationMs: responseTimeMs - timeToFirstOutputMs,\n                  }),\n            inputTokensPerSecond:\n              timeToFirstOutputMs == null\n                ? undefined\n                : calculateTokensPerSecond({\n                    tokens: usage.inputTokens,\n                    durationMs: timeToFirstOutputMs,\n                  }),\n            effectiveTotalTokensPerSecond: calculateTokensPerSecond({\n              tokens: sumTokenCounts(usage.inputTokens, usage.outputTokens),\n              durationMs: responseTimeMs,\n            }),\n            timeToFirstOutputMs,\n            timeBetweenOutputChunksMs:\n              timeBetweenOutputChunksMs.length > 0\n                ? calculateOutputChunkTimingStats(timeBetweenOutputChunksMs)\n                : undefined,\n          };\n\n          await notify({\n            event: {\n              callId,\n              provider,\n              modelId: responseModelId,\n              finishReason: chunk.finishReason.unified,\n              usage,\n              content: modelCallContent,\n              responseId,\n              ...(chunk.providerMetadata != null\n                ? { providerMetadata: chunk.providerMetadata }\n                : {}),\n              performance,\n            },\n            callbacks: onLanguageModelCallEnd,\n          });\n\n          controller.enqueue({\n            type: 'model-call-end',\n            finishReason: chunk.finishReason.unified,\n            rawFinishReason: chunk.finishReason.raw,\n            usage,\n            providerMetadata: chunk.providerMetadata,\n            performance,\n          });\n          break;\n        }\n\n        case 'tool-call': {\n          try {\n            const toolCall = await parseToolCall({\n              toolCall: chunk,\n              tools,\n              repairToolCall,\n              refineToolInput,\n              instructions,\n              messages,\n            });\n\n            toolCallsByToolCallId.set(toolCall.toolCallId, toolCall);\n            controller.enqueue(toolCall);\n            modelCallContent.push(toolCall);\n\n            if (toolCall.invalid) {\n              if (!toolCall.providerExecuted) {\n                controller.enqueue({\n                  type: 'tool-error',\n                  toolCallId: toolCall.toolCallId,\n                  toolName: toolCall.toolName,\n                  input: toolCall.input,\n                  error: getErrorMessage(toolCall.error!),\n                  dynamic: true,\n                  title: toolCall.title,\n                  ...(toolCall.toolMetadata != null\n                    ? { toolMetadata: toolCall.toolMetadata }\n                    : {}),\n                });\n              }\n              break;\n            }\n          } catch (error) {\n            controller.enqueue({ type: 'error', error });\n          }\n\n          break;\n        }\n\n        case 'tool-approval-request': {\n          const toolCall = toolCallsByToolCallId.get(chunk.toolCallId);\n\n          if (toolCall == null) {\n            controller.enqueue({\n              type: 'error',\n              error: new ToolCallNotFoundForApprovalError({\n                toolCallId: chunk.toolCallId,\n                approvalId: chunk.approvalId,\n              }),\n            });\n            break;\n          }\n\n          const toolApprovalRequest = {\n            type: 'tool-approval-request',\n            approvalId: chunk.approvalId,\n            toolCall,\n          } as const;\n\n          controller.enqueue(toolApprovalRequest);\n          modelCallContent.push(toolApprovalRequest);\n          break;\n        }\n\n        case 'tool-result': {\n          const toolName = chunk.toolName as keyof TOOLS & string;\n          const toolCall = toolCallsByToolCallId.get(chunk.toolCallId);\n\n          const toolResultPart = chunk.isError\n            ? ({\n                type: 'tool-error',\n                toolCallId: chunk.toolCallId,\n                toolName,\n                input: toolCall?.input,\n                providerExecuted: true,\n                error: chunk.result,\n                dynamic: chunk.dynamic,\n                ...(chunk.providerMetadata != null\n                  ? { providerMetadata: chunk.providerMetadata }\n                  : {}),\n                ...(toolCall?.toolMetadata != null\n                  ? { toolMetadata: toolCall.toolMetadata }\n                  : {}),\n              } as TypedToolError<TOOLS>)\n            : ({\n                type: 'tool-result',\n                toolCallId: chunk.toolCallId,\n                toolName,\n                input: toolCall?.input,\n                output: chunk.result,\n                providerExecuted: true,\n                dynamic: chunk.dynamic,\n                ...(chunk.providerMetadata != null\n                  ? { providerMetadata: chunk.providerMetadata }\n                  : {}),\n                ...(toolCall?.toolMetadata != null\n                  ? { toolMetadata: toolCall.toolMetadata }\n                  : {}),\n              } as TypedToolResult<TOOLS>);\n\n          controller.enqueue(toolResultPart);\n          modelCallContent.push(toolResultPart);\n\n          break;\n        }\n\n        case 'tool-input-start': {\n          const tool = getOwn(tools, chunk.toolName);\n\n          controller.enqueue({\n            ...chunk,\n            dynamic: chunk.dynamic ?? tool?.type === 'dynamic',\n            title: tool?.title,\n            ...(tool?.metadata != null ? { toolMetadata: tool.metadata } : {}),\n          });\n          break;\n        }\n\n        case 'stream-start': {\n          controller.enqueue({\n            type: 'model-call-start',\n            warnings: chunk.warnings,\n          });\n          break;\n        }\n\n        case 'response-metadata': {\n          responseId = chunk.id ?? responseId;\n          responseModelId = chunk.modelId ?? responseModelId;\n\n          controller.enqueue({\n            type: 'model-call-response-metadata',\n            id: chunk.id,\n            timestamp: chunk.timestamp,\n            modelId: chunk.modelId,\n          });\n          break;\n        }\n\n        default:\n          if (chunk.type === 'custom' || chunk.type === 'source') {\n            modelCallContent.push(chunk);\n          }\n\n          controller.enqueue(chunk);\n          break;\n      }\n    },\n  });\n}\n\n/**\n * Returns true for chunks that contain generated model output.\n * Used to measure time-to-first-output for text, reasoning, generated files,\n * and tool calls.\n */\nfunction isOutputChunk(chunk: LanguageModelV4StreamPart): boolean {\n  return (\n    (chunk.type === 'text-delta' && chunk.delta.length > 0) ||\n    (chunk.type === 'reasoning-delta' && chunk.delta.length > 0) ||\n    (chunk.type === 'tool-input-delta' && chunk.delta.length > 0) ||\n    chunk.type === 'file' ||\n    chunk.type === 'reasoning-file' ||\n    chunk.type === 'tool-call'\n  );\n}\n\nfunction calculateOutputChunkTimingStats(\n  timingsMs: number[],\n): OutputChunkTimingStats {\n  const sortedTimingsMs = [...timingsMs].sort((a, b) => a - b);\n  const sum = timingsMs.reduce((sum, timingMs) => sum + timingMs, 0);\n\n  return {\n    min: sortedTimingsMs[0],\n    p10: calculateNearestRankPercentile(sortedTimingsMs, 0.1),\n    median: calculateNearestRankPercentile(sortedTimingsMs, 0.5),\n    avg: sum / timingsMs.length,\n    p90: calculateNearestRankPercentile(sortedTimingsMs, 0.9),\n    max: sortedTimingsMs[sortedTimingsMs.length - 1],\n  };\n}\n\nfunction calculateNearestRankPercentile(\n  sortedValues: number[],\n  percentile: number,\n): number {\n  return sortedValues[Math.ceil(percentile * sortedValues.length) - 1];\n}\n\n/**\n * Appends a text or reasoning content part into the content array and updates the part indexes.\n */\nfunction upsertTextContentPart<TOOLS extends ToolSet>({\n  content,\n  partIndexes,\n  id,\n  type,\n  textDelta,\n  providerMetadata,\n}: {\n  content: Array<ContentPart<TOOLS>>;\n  partIndexes: Map<string, number>;\n  id: string;\n  type: 'text' | 'reasoning';\n  textDelta?: string;\n  providerMetadata?: ProviderMetadata;\n}) {\n  let partIndex = partIndexes.get(id);\n\n  if (partIndex == null) {\n    partIndex =\n      content.push({\n        type,\n        text: '',\n        ...(providerMetadata != null ? { providerMetadata } : {}),\n      }) - 1;\n    partIndexes.set(id, partIndex);\n  }\n\n  const part = content[partIndex] as {\n    text: string;\n    providerMetadata?: ProviderMetadata;\n  };\n\n  if (textDelta != null) {\n    part.text += textDelta;\n  }\n\n  if (providerMetadata != null) {\n    part.providerMetadata = providerMetadata;\n  }\n}\n", "import {\n  generateId as generateIdFunc,\n  type IdGenerator,\n} from '@ai-sdk/provider-utils';\nimport type { UIMessage } from '../ui/ui-messages';\nimport { handleUIMessageStreamFinish } from './handle-ui-message-stream-finish';\nimport type { InferUIMessageChunk } from './ui-message-chunks';\nimport type { UIMessageStreamOnEndCallback } from './ui-message-stream-on-end-callback';\nimport type { UIMessageStreamOnStepEndCallback } from './ui-message-stream-on-step-end-callback';\nimport type { UIMessageStreamOnStepFinishCallback } from './ui-message-stream-on-step-finish-callback';\nimport type { UIMessageStreamWriter } from './ui-message-stream-writer';\n\n/**\n * Creates a UI message stream that can be used to send messages to the client.\n *\n * @param options.execute - A function that is called with a writer to write UI message chunks to the stream.\n * @param options.onError - A function that extracts an error message from an error. Defaults to `() => 'An error occurred.'` so server-side error details are not leaked to the client; supply your own to surface richer messages.\n * @param options.originalMessages - The original messages. If provided, persistence mode is assumed\n *   and a message ID is provided for the response message.\n * @param options.onStepEnd - A callback that is called when each step ends. Useful for persisting intermediate messages.\n * @param options.onStepFinish - Deprecated alias for `onStepEnd`.\n * @param options.onEnd - A callback that is called when the stream ends.\n * @param options.onFinish - Deprecated alias for `onEnd`.\n * @param options.generateId - A function that generates a unique ID. Defaults to the built-in ID generator.\n *\n * @returns A `ReadableStream` of UI message chunks.\n */\nexport function createUIMessageStream<UI_MESSAGE extends UIMessage>({\n  execute,\n  onError = () => 'An error occurred.', // prevent leaking server error details to the client by default\n  originalMessages,\n  onStepEnd,\n  onStepFinish,\n  onEnd,\n  onFinish,\n  generateId = generateIdFunc,\n}: {\n  execute: (options: {\n    writer: UIMessageStreamWriter<UI_MESSAGE>;\n  }) => Promise<void> | void;\n  onError?: (error: unknown) => string;\n\n  /**\n   * The original messages. If they are provided, persistence mode is assumed,\n   * and a message ID is provided for the response message.\n   */\n  originalMessages?: UI_MESSAGE[];\n\n  /**\n   * Callback that is called when each step ends during multi-step agent runs.\n   */\n  onStepEnd?: UIMessageStreamOnStepEndCallback<UI_MESSAGE>;\n\n  /**\n   * Callback that is called when each step ends during multi-step agent runs.\n   *\n   * @deprecated Use `onStepEnd` instead.\n   */\n  onStepFinish?: UIMessageStreamOnStepFinishCallback<UI_MESSAGE>;\n\n  onEnd?: UIMessageStreamOnEndCallback<UI_MESSAGE>;\n\n  /**\n   * @deprecated Use `onEnd` instead.\n   */\n  onFinish?: UIMessageStreamOnEndCallback<UI_MESSAGE>;\n\n  generateId?: IdGenerator;\n}): ReadableStream<InferUIMessageChunk<UI_MESSAGE>> {\n  let controller!: ReadableStreamDefaultController<\n    InferUIMessageChunk<UI_MESSAGE>\n  >;\n\n  const ongoingStreamPromises: Promise<void>[] = [];\n\n  const stream = new ReadableStream({\n    start(controllerArg) {\n      controller = controllerArg;\n    },\n  });\n\n  function safeEnqueue(data: InferUIMessageChunk<UI_MESSAGE>) {\n    try {\n      controller.enqueue(data);\n    } catch {\n      // suppress errors when the stream has been closed\n    }\n  }\n\n  try {\n    const result = execute({\n      writer: {\n        write(part: InferUIMessageChunk<UI_MESSAGE>) {\n          safeEnqueue(part);\n        },\n        merge(streamArg) {\n          ongoingStreamPromises.push(\n            (async () => {\n              const reader = streamArg.getReader();\n              while (true) {\n                const { done, value } = await reader.read();\n                if (done) break;\n                safeEnqueue(value);\n              }\n            })().catch(error => {\n              safeEnqueue({\n                type: 'error',\n                errorText: onError(error),\n              } as InferUIMessageChunk<UI_MESSAGE>);\n            }),\n          );\n        },\n        onError,\n      },\n    });\n\n    if (result) {\n      ongoingStreamPromises.push(\n        result.catch(error => {\n          safeEnqueue({\n            type: 'error',\n            errorText: onError(error),\n          } as InferUIMessageChunk<UI_MESSAGE>);\n        }),\n      );\n    }\n  } catch (error) {\n    safeEnqueue({\n      type: 'error',\n      errorText: onError(error),\n    } as InferUIMessageChunk<UI_MESSAGE>);\n  }\n\n  // Wait until all ongoing streams are done. This approach enables merging\n  // streams even after execute has returned, as long as there is still an\n  // open merged stream. This is important to e.g. forward new streams and\n  // from callbacks.\n  const waitForStreams: Promise<void> = new Promise(async resolve => {\n    while (ongoingStreamPromises.length > 0) {\n      await ongoingStreamPromises.shift();\n    }\n    resolve();\n  });\n\n  waitForStreams.finally(() => {\n    try {\n      controller.close();\n    } catch {\n      // suppress errors when the stream has been closed\n    }\n  });\n\n  return handleUIMessageStreamFinish<UI_MESSAGE>({\n    stream,\n    messageId: generateId(),\n    originalMessages,\n    onStepEnd: onStepEnd ?? onStepFinish,\n    onEnd: onEnd ?? onFinish,\n    onError,\n  });\n}\n", "import type { UIMessage } from '../ui/ui-messages';\nimport type { UIMessageChunk } from './ui-message-chunks';\nimport {\n  createStreamingUIMessageState,\n  processUIMessageStream,\n  type StreamingUIMessageState,\n  type UIMessageStreamWriteOptions,\n} from '../ui/process-ui-message-stream';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport { consumeStream } from '../util/consume-stream';\n\nfunction createUIMessageSnapshot<UI_MESSAGE extends UIMessage>(\n  message: UI_MESSAGE,\n): UI_MESSAGE {\n  const textByPartIndex = new Map<number, string>();\n  const messageWithoutText = {\n    ...message,\n    parts: message.parts.map((part, index) => {\n      if (part.type === 'text' || part.type === 'reasoning') {\n        textByPartIndex.set(index, part.text);\n        return { ...part, text: '' };\n      }\n\n      return part;\n    }),\n  };\n\n  const snapshot = structuredClone(messageWithoutText) as UI_MESSAGE;\n\n  for (const [index, text] of textByPartIndex) {\n    const part = snapshot.parts[index];\n\n    if (part.type === 'text' || part.type === 'reasoning') {\n      part.text = text;\n    }\n  }\n\n  return snapshot;\n}\n\n/**\n * Transforms a stream of `UIMessageChunk`s into an `AsyncIterableStream` of `UIMessage`s.\n *\n * @param options.message - The last assistant message to use as a starting point when the conversation is resumed. Otherwise undefined.\n * @param options.stream - The stream of `UIMessageChunk`s to read.\n * @param options.terminateOnError - Whether to terminate the stream if an error occurs.\n * @param options.onError - A function that is called when an error occurs.\n *\n * @returns An `AsyncIterableStream` of `UIMessage`s. Each stream part is a different state of the same message\n * as it is being completed.\n */\nexport function readUIMessageStream<UI_MESSAGE extends UIMessage>({\n  message,\n  stream,\n  onError,\n  terminateOnError = false,\n}: {\n  message?: UI_MESSAGE;\n  stream: ReadableStream<UIMessageChunk>;\n  onError?: (error: unknown) => void;\n  terminateOnError?: boolean;\n}): AsyncIterableStream<UI_MESSAGE> {\n  let controller: ReadableStreamDefaultController<UI_MESSAGE> | undefined;\n  let hasErrored = false;\n\n  const outputStream = new ReadableStream<UI_MESSAGE>({\n    start(controllerParam) {\n      controller = controllerParam;\n    },\n  });\n\n  const state = createStreamingUIMessageState<UI_MESSAGE>({\n    messageId: message?.id ?? '',\n    lastMessage: message,\n  });\n\n  const handleError = (error: unknown) => {\n    onError?.(error);\n\n    if (!hasErrored && terminateOnError) {\n      hasErrored = true;\n      controller?.error(error);\n    }\n  };\n\n  consumeStream({\n    stream: processUIMessageStream({\n      stream,\n      runUpdateMessageJob(\n        job: (options: {\n          state: StreamingUIMessageState<UI_MESSAGE>;\n          write: (options?: UIMessageStreamWriteOptions) => void;\n        }) => Promise<void>,\n      ) {\n        return job({\n          state,\n          write: () => {\n            controller?.enqueue(createUIMessageSnapshot(state.message));\n          },\n        });\n      },\n      onError: handleError,\n    }),\n    onError: handleError,\n  }).finally(() => {\n    // Only close if no error occurred. Calling close() on an errored controller\n    // throws \"Invalid state: Controller is already closed\" TypeError.\n    if (!hasErrored) {\n      controller?.close();\n    }\n  });\n\n  return createAsyncIterableStream(outputStream);\n}\n", "import {\n  isNonNullable,\n  type ToolSet,\n  type AssistantContent,\n  type CustomPart,\n  type FilePart,\n  type ModelMessage,\n  type TextPart,\n  type ToolApprovalResponse,\n  type ToolResultPart,\n} from '@ai-sdk/provider-utils';\nimport { createToolModelOutput } from '../prompt/create-tool-model-output';\nimport { MessageConversionError } from '../prompt/message-conversion-error';\nimport { getOwn } from '../util/get-own';\nimport {\n  getToolName,\n  isCustomContentUIPart,\n  isDataUIPart,\n  isFileUIPart,\n  isReasoningFileUIPart,\n  isReasoningUIPart,\n  isTextUIPart,\n  isToolUIPart,\n  type CustomContentUIPart,\n  type DataUIPart,\n  type DynamicToolUIPart,\n  type FileUIPart,\n  type InferUIMessageData,\n  type InferUIMessageTools,\n  type ReasoningFileUIPart,\n  type ReasoningUIPart,\n  type TextUIPart,\n  type ToolUIPart,\n  type UIMessage,\n} from './ui-messages';\n/**\n * Converts an array of UI messages from useChat into an array of ModelMessages that can be used\n * with the AI functions (e.g. `streamText`, `generateText`).\n *\n * @param messages - The UI messages to convert.\n * @param options.tools - The tools to use.\n * @param options.ignoreIncompleteToolCalls - Whether to ignore incomplete tool calls. Default is `false`.\n * @param options.convertDataPart - Optional function to convert data parts to text or file model message parts. Returns `undefined` if the part should be ignored.\n *\n * @returns An array of ModelMessages.\n */\nexport async function convertToModelMessages<UI_MESSAGE extends UIMessage>(\n  messages: Array<Omit<UI_MESSAGE, 'id'>>,\n  options?: {\n    tools?: ToolSet;\n    ignoreIncompleteToolCalls?: boolean;\n    convertDataPart?: (\n      part: DataUIPart<InferUIMessageData<UI_MESSAGE>>,\n    ) => TextPart | FilePart | undefined;\n  },\n): Promise<ModelMessage[]> {\n  const modelMessages: ModelMessage[] = [];\n\n  if (options?.ignoreIncompleteToolCalls) {\n    messages = messages.map(message => ({\n      ...message,\n      parts: message.parts.filter(\n        part =>\n          !isToolUIPart(part) ||\n          part.state === 'approval-responded' ||\n          (part.state === 'output-available' && part.preliminary !== true) ||\n          part.state === 'output-error' ||\n          part.state === 'output-denied',\n      ),\n    }));\n  }\n\n  for (const message of messages) {\n    switch (message.role) {\n      case 'system': {\n        const textParts = message.parts.filter(\n          (part): part is TextUIPart => part.type === 'text',\n        );\n\n        const providerMetadata = textParts.reduce((acc, part) => {\n          if (part.providerMetadata != null) {\n            return { ...acc, ...part.providerMetadata };\n          }\n          return acc;\n        }, {});\n\n        modelMessages.push({\n          role: 'system',\n          content: textParts.map(part => part.text).join(''),\n          ...(Object.keys(providerMetadata).length > 0\n            ? { providerOptions: providerMetadata }\n            : {}),\n        });\n        break;\n      }\n\n      case 'user': {\n        modelMessages.push({\n          role: 'user',\n          content: message.parts\n            .map((part): TextPart | FilePart | undefined => {\n              // Process text parts\n              if (isTextUIPart(part)) {\n                return {\n                  type: 'text' as const,\n                  text: part.text,\n                  ...(part.providerMetadata != null\n                    ? { providerOptions: part.providerMetadata }\n                    : {}),\n                };\n              }\n\n              // Process file parts\n              if (isFileUIPart(part)) {\n                return {\n                  type: 'file' as const,\n                  mediaType: part.mediaType,\n                  filename: part.filename,\n                  data:\n                    part.providerReference != null\n                      ? {\n                          type: 'reference' as const,\n                          reference: part.providerReference,\n                        }\n                      : { type: 'url' as const, url: new URL(part.url) },\n                  ...(part.providerMetadata != null\n                    ? { providerOptions: part.providerMetadata }\n                    : {}),\n                };\n              }\n\n              // Process data parts with converter if provided\n              if (isDataUIPart(part)) {\n                return options?.convertDataPart?.(\n                  part as DataUIPart<InferUIMessageData<UI_MESSAGE>>,\n                );\n              }\n            })\n            .filter(isNonNullable),\n        });\n\n        break;\n      }\n\n      case 'assistant': {\n        if (message.parts != null) {\n          let block: Array<\n            | CustomContentUIPart\n            | TextUIPart\n            | ToolUIPart<InferUIMessageTools<UI_MESSAGE>>\n            | ReasoningUIPart\n            | FileUIPart\n            | ReasoningFileUIPart\n            | DynamicToolUIPart\n            | DataUIPart<InferUIMessageData<UI_MESSAGE>>\n          > = [];\n\n          async function processBlock() {\n            if (block.length === 0) {\n              return;\n            }\n\n            const content: AssistantContent = [];\n\n            for (const part of block) {\n              if (isTextUIPart(part)) {\n                content.push({\n                  type: 'text' as const,\n                  text: part.text,\n                  ...(part.providerMetadata != null\n                    ? { providerOptions: part.providerMetadata }\n                    : {}),\n                });\n              } else if (isCustomContentUIPart(part)) {\n                content.push({\n                  type: 'custom' as const,\n                  kind: part.kind,\n                  ...(part.providerMetadata != null\n                    ? { providerOptions: part.providerMetadata }\n                    : {}),\n                } satisfies CustomPart);\n              } else if (isFileUIPart(part)) {\n                content.push({\n                  type: 'file' as const,\n                  mediaType: part.mediaType,\n                  filename: part.filename,\n                  data:\n                    part.providerReference != null\n                      ? {\n                          type: 'reference' as const,\n                          reference: part.providerReference,\n                        }\n                      : { type: 'url' as const, url: new URL(part.url) },\n                  ...(part.providerMetadata != null\n                    ? { providerOptions: part.providerMetadata }\n                    : {}),\n                });\n              } else if (isReasoningFileUIPart(part)) {\n                content.push({\n                  type: 'reasoning-file' as const,\n                  data: { type: 'url' as const, url: new URL(part.url) },\n                  mediaType: part.mediaType,\n                  providerOptions: part.providerMetadata,\n                });\n              } else if (isReasoningUIPart(part)) {\n                content.push({\n                  type: 'reasoning' as const,\n                  text: part.text,\n                  providerOptions: part.providerMetadata,\n                });\n              } else if (isToolUIPart(part)) {\n                const toolName = getToolName(part);\n\n                if (part.state !== 'input-streaming') {\n                  content.push({\n                    type: 'tool-call' as const,\n                    toolCallId: part.toolCallId,\n                    toolName,\n                    input:\n                      part.state === 'output-error'\n                        ? (part.input ??\n                          ('rawInput' in part ? part.rawInput : undefined))\n                        : part.input,\n                    providerExecuted: part.providerExecuted,\n                    ...(part.callProviderMetadata != null\n                      ? { providerOptions: part.callProviderMetadata }\n                      : {}),\n                  });\n\n                  if (part.approval != null) {\n                    content.push({\n                      type: 'tool-approval-request' as const,\n                      approvalId: part.approval.id,\n                      toolCallId: part.toolCallId,\n                      isAutomatic: part.approval.isAutomatic,\n                      ...(part.approval.signature != null\n                        ? { signature: part.approval.signature }\n                        : {}),\n                    });\n                  }\n\n                  if (\n                    part.providerExecuted === true &&\n                    part.state !== 'approval-responded' &&\n                    (part.state === 'output-available' ||\n                      part.state === 'output-error')\n                  ) {\n                    const resultProviderMetadata =\n                      part.resultProviderMetadata ?? part.callProviderMetadata;\n\n                    content.push({\n                      type: 'tool-result',\n                      toolCallId: part.toolCallId,\n                      toolName,\n                      output: await createToolModelOutput({\n                        toolCallId: part.toolCallId,\n                        input: part.input,\n                        output:\n                          part.state === 'output-error'\n                            ? part.errorText\n                            : part.output,\n                        tool: getOwn(options?.tools, toolName),\n                        errorMode:\n                          part.state === 'output-error' ? 'json' : 'none',\n                      }),\n                      ...(resultProviderMetadata != null\n                        ? { providerOptions: resultProviderMetadata }\n                        : {}),\n                    });\n                  }\n                }\n              } else if (isDataUIPart(part)) {\n                const dataPart = options?.convertDataPart?.(\n                  part as DataUIPart<InferUIMessageData<UI_MESSAGE>>,\n                );\n\n                if (dataPart != null) {\n                  content.push(dataPart);\n                }\n              } else {\n                const _exhaustiveCheck: never = part;\n                throw new Error(`Unsupported part: ${_exhaustiveCheck}`);\n              }\n            }\n\n            if (content.length > 0) {\n              modelMessages.push({\n                role: 'assistant',\n                content,\n              });\n            }\n\n            // check if there are tool invocations with results in the block\n            // Include non-provider-executed tools, OR provider-executed tools with approval responses\n            const toolParts = block.filter(\n              part =>\n                isToolUIPart(part) &&\n                (part.providerExecuted !== true ||\n                  part.approval?.approved != null),\n            ) as (\n              | ToolUIPart<InferUIMessageTools<UI_MESSAGE>>\n              | DynamicToolUIPart\n            )[];\n\n            // tool message with tool results\n            if (toolParts.length > 0) {\n              {\n                const content: Array<ToolResultPart | ToolApprovalResponse> =\n                  [];\n                for (const toolPart of toolParts) {\n                  // add approval response for approved tool calls:\n                  if (toolPart.approval?.approved != null) {\n                    content.push({\n                      type: 'tool-approval-response' as const,\n                      approvalId: toolPart.approval.id,\n                      approved: toolPart.approval.approved,\n                      reason: toolPart.approval.reason,\n                      providerExecuted: toolPart.providerExecuted,\n                    });\n                  }\n\n                  // add synthetic execution-denied result for denied tool approvals\n                  if (\n                    toolPart.state === 'approval-responded' &&\n                    toolPart.approval?.approved === false\n                  ) {\n                    content.push({\n                      type: 'tool-result',\n                      toolCallId: toolPart.toolCallId,\n                      toolName: getToolName(toolPart),\n                      output: {\n                        type: 'execution-denied' as const,\n                        reason: toolPart.approval.reason,\n                      },\n                      ...(toolPart.callProviderMetadata != null\n                        ? { providerOptions: toolPart.callProviderMetadata }\n                        : {}),\n                    });\n                  }\n\n                  // For provider-executed tools, the tool result is already in the\n                  // assistant content. Skip adding to tool message to avoid duplicates\n                  // (which would create orphaned function_call_output entries).\n                  if (toolPart.providerExecuted === true) {\n                    continue;\n                  }\n\n                  switch (toolPart.state) {\n                    case 'output-denied': {\n                      content.push({\n                        type: 'tool-result',\n                        toolCallId: toolPart.toolCallId,\n                        toolName: getToolName(toolPart),\n                        output: {\n                          type: 'error-text' as const,\n                          value:\n                            toolPart.approval?.reason ??\n                            'Tool call execution denied.',\n                        },\n                        ...(toolPart.callProviderMetadata != null\n                          ? { providerOptions: toolPart.callProviderMetadata }\n                          : {}),\n                      });\n                      break;\n                    }\n\n                    case 'output-error':\n                    case 'output-available': {\n                      const toolName = getToolName(toolPart);\n                      content.push({\n                        type: 'tool-result',\n                        toolCallId: toolPart.toolCallId,\n                        toolName,\n                        output: await createToolModelOutput({\n                          toolCallId: toolPart.toolCallId,\n                          input: toolPart.input,\n                          output:\n                            toolPart.state === 'output-error'\n                              ? toolPart.errorText\n                              : toolPart.output,\n                          tool: getOwn(options?.tools, toolName),\n                          errorMode:\n                            toolPart.state === 'output-error' ? 'text' : 'none',\n                        }),\n                        ...(toolPart.callProviderMetadata != null\n                          ? { providerOptions: toolPart.callProviderMetadata }\n                          : {}),\n                      });\n                      break;\n                    }\n                  }\n                }\n\n                if (content.length > 0) {\n                  modelMessages.push({\n                    role: 'tool',\n                    content,\n                  });\n                }\n              }\n            }\n\n            // updates for next block\n            block = [];\n          }\n\n          for (const part of message.parts) {\n            if (\n              isCustomContentUIPart(part) ||\n              isTextUIPart(part) ||\n              isReasoningUIPart(part) ||\n              isReasoningFileUIPart(part) ||\n              isFileUIPart(part) ||\n              isToolUIPart(part) ||\n              isDataUIPart(part)\n            ) {\n              block.push(part as (typeof block)[number]);\n            } else if (part.type === 'step-start') {\n              await processBlock();\n            }\n          }\n\n          await processBlock();\n\n          break;\n        }\n\n        break;\n      }\n\n      default: {\n        const _exhaustiveCheck: never = message.role;\n        throw new MessageConversionError({\n          originalMessage: message,\n          message: `Unsupported role: ${_exhaustiveCheck}`,\n        });\n      }\n    }\n  }\n\n  return modelMessages;\n}\n", "import { TypeValidationError, type JSONObject } from '@ai-sdk/provider';\nimport {\n  lazySchema,\n  validateTypes,\n  zodSchema,\n  type FlexibleSchema,\n  type Tool,\n} from '@ai-sdk/provider-utils';\nimport { InvalidArgumentError } from '../error';\nimport { jsonValueSchema } from '../types/json-value';\nimport { getOwn } from '../util/get-own';\nimport { providerMetadataSchema } from '../types/provider-metadata';\nimport { z, type ZodType } from '../util/zod';\nimport type {\n  DataUIPart,\n  InferUIMessageData,\n  InferUIMessageTools,\n  ToolUIPart,\n  UIMessage,\n} from './ui-messages';\n\nconst toolMetadataSchema: ZodType<JSONObject> = z.record(\n  z.string(),\n  jsonValueSchema.optional(),\n);\n\nconst providerReferenceSchema = z.record(z.string(), z.string());\n\nconst uiMessagesSchema = lazySchema(() =>\n  zodSchema(\n    z\n      .array(\n        z\n          .object({\n            id: z.string(),\n            role: z.enum(['system', 'user', 'assistant']),\n            metadata: z.unknown().optional(),\n            parts: z.array(\n              z.union([\n                z.object({\n                  type: z.literal('text'),\n                  text: z.string(),\n                  state: z.enum(['streaming', 'done']).optional(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('reasoning'),\n                  id: z.string().optional(),\n                  text: z.string(),\n                  state: z.enum(['streaming', 'done']).optional(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('custom'),\n                  kind: z.string(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('source-url'),\n                  sourceId: z.string(),\n                  url: z.string(),\n                  title: z.string().optional(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('source-document'),\n                  sourceId: z.string(),\n                  mediaType: z.string(),\n                  title: z.string(),\n                  filename: z.string().optional(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('file'),\n                  mediaType: z.string(),\n                  filename: z.string().optional(),\n                  url: z.string(),\n                  providerReference: providerReferenceSchema.optional(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('reasoning-file'),\n                  mediaType: z.string(),\n                  url: z.string(),\n                  providerMetadata: providerMetadataSchema.optional(),\n                }),\n                z.object({\n                  type: z.literal('step-start'),\n                }),\n                z.object({\n                  type: z.string().startsWith('data-'),\n                  id: z.string().optional(),\n                  data: z.unknown(),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('input-streaming'),\n                  input: z.unknown().optional(),\n                  providerExecuted: z.boolean().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  approval: z.never().optional(),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('input-available'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.never().optional(),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('approval-requested'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.never().optional(),\n                    reason: z.never().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('approval-responded'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.boolean(),\n                    reason: z.string().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-available'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.unknown(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  resultProviderMetadata: providerMetadataSchema.optional(),\n                  preliminary: z.boolean().optional(),\n                  approval: z\n                    .object({\n                      id: z.string(),\n                      approved: z.literal(true),\n                      reason: z.string().optional(),\n                      isAutomatic: z.boolean().optional(),\n                      signature: z.string().optional(),\n                    })\n                    .optional(),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-error'),\n                  input: z.unknown().optional(),\n                  rawInput: z.unknown().optional(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.string(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  resultProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z\n                    .object({\n                      id: z.string(),\n                      approved: z.literal(true),\n                      reason: z.string().optional(),\n                      isAutomatic: z.boolean().optional(),\n                      signature: z.string().optional(),\n                    })\n                    .optional(),\n                }),\n                z.object({\n                  type: z.literal('dynamic-tool'),\n                  toolName: z.string(),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-denied'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.literal(false),\n                    reason: z.string().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('input-streaming'),\n                  providerExecuted: z.boolean().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  input: z.unknown().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  approval: z.never().optional(),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('input-available'),\n                  providerExecuted: z.boolean().optional(),\n                  input: z.unknown(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.never().optional(),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('approval-requested'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.never().optional(),\n                    reason: z.never().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('approval-responded'),\n                  input: z.unknown(),\n                  providerExecuted: z.boolean().optional(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.boolean(),\n                    reason: z.string().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-available'),\n                  providerExecuted: z.boolean().optional(),\n                  input: z.unknown(),\n                  output: z.unknown(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  resultProviderMetadata: providerMetadataSchema.optional(),\n                  preliminary: z.boolean().optional(),\n                  approval: z\n                    .object({\n                      id: z.string(),\n                      approved: z.literal(true),\n                      reason: z.string().optional(),\n                      isAutomatic: z.boolean().optional(),\n                      signature: z.string().optional(),\n                    })\n                    .optional(),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-error'),\n                  providerExecuted: z.boolean().optional(),\n                  input: z.unknown().optional(),\n                  rawInput: z.unknown().optional(),\n                  output: z.never().optional(),\n                  errorText: z.string(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  resultProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z\n                    .object({\n                      id: z.string(),\n                      approved: z.literal(true),\n                      reason: z.string().optional(),\n                      isAutomatic: z.boolean().optional(),\n                      signature: z.string().optional(),\n                    })\n                    .optional(),\n                }),\n                z.object({\n                  type: z.string().startsWith('tool-'),\n                  toolCallId: z.string(),\n                  toolMetadata: toolMetadataSchema.optional(),\n                  state: z.literal('output-denied'),\n                  providerExecuted: z.boolean().optional(),\n                  input: z.unknown(),\n                  output: z.never().optional(),\n                  errorText: z.never().optional(),\n                  callProviderMetadata: providerMetadataSchema.optional(),\n                  approval: z.object({\n                    id: z.string(),\n                    approved: z.literal(false),\n                    reason: z.string().optional(),\n                    isAutomatic: z.boolean().optional(),\n                    signature: z.string().optional(),\n                  }),\n                }),\n              ]),\n            ),\n          })\n          .superRefine((message, context) => {\n            if (message.role !== 'assistant' && message.parts.length === 0) {\n              context.addIssue({\n                origin: 'array',\n                code: 'too_small',\n                minimum: 1,\n                inclusive: true,\n                input: message.parts,\n                path: ['parts'],\n                message: 'Message must contain at least one part',\n              });\n            }\n          }),\n      )\n      .nonempty('Messages array must not be empty'),\n  ),\n);\n\nexport type SafeValidateUIMessagesResult<UI_MESSAGE extends UIMessage> =\n  | {\n      success: true;\n      data: Array<UI_MESSAGE>;\n    }\n  | {\n      success: false;\n      error: Error;\n    };\n\n/**\n * Validates a list of UI messages like `validateUIMessages`,\n * but instead of throwing it returns `{ success: true, data }`\n * or `{ success: false, error }`.\n */\nexport async function safeValidateUIMessages<UI_MESSAGE extends UIMessage>({\n  messages,\n  metadataSchema,\n  dataSchemas,\n  tools,\n}: {\n  messages: unknown;\n  metadataSchema?: FlexibleSchema<UIMessage['metadata']>;\n  dataSchemas?: {\n    [NAME in keyof InferUIMessageData<UI_MESSAGE> & string]?: FlexibleSchema<\n      InferUIMessageData<UI_MESSAGE>[NAME]\n    >;\n  };\n  tools?: {\n    [NAME in keyof InferUIMessageTools<UI_MESSAGE> & string]?: Tool<\n      InferUIMessageTools<UI_MESSAGE>[NAME]['input'],\n      InferUIMessageTools<UI_MESSAGE>[NAME]['output']\n    >;\n  };\n}): Promise<SafeValidateUIMessagesResult<UI_MESSAGE>> {\n  try {\n    if (messages == null) {\n      return {\n        success: false,\n        error: new InvalidArgumentError({\n          parameter: 'messages',\n          value: messages,\n          message: 'messages parameter must be provided',\n        }),\n      };\n    }\n\n    const validatedMessages = await validateTypes({\n      value: messages,\n      schema: uiMessagesSchema,\n    });\n\n    if (metadataSchema) {\n      for (const [msgIdx, message] of validatedMessages.entries()) {\n        await validateTypes({\n          value: message.metadata,\n          schema: metadataSchema,\n          context: {\n            field: `messages[${msgIdx}].metadata`,\n            entityId: message.id,\n          },\n        });\n      }\n    }\n\n    if (dataSchemas || tools) {\n      for (const [msgIdx, message] of validatedMessages.entries()) {\n        for (const [partIdx, part] of message.parts.entries()) {\n          // Data part validation\n          if (dataSchemas && part.type.startsWith('data-')) {\n            const dataPart = part as DataUIPart<InferUIMessageData<UI_MESSAGE>>;\n            const dataName = dataPart.type.slice(5);\n            const dataSchema = dataSchemas[dataName];\n\n            if (!dataSchema) {\n              return {\n                success: false,\n                error: new TypeValidationError({\n                  value: dataPart.data,\n                  cause: `No data schema found for data part ${dataName}`,\n                  context: {\n                    field: `messages[${msgIdx}].parts[${partIdx}].data`,\n                    entityName: dataName,\n                    entityId: dataPart.id,\n                  },\n                }),\n              };\n            }\n\n            await validateTypes({\n              value: dataPart.data,\n              schema: dataSchema,\n              context: {\n                field: `messages[${msgIdx}].parts[${partIdx}].data`,\n                entityName: dataName,\n                entityId: dataPart.id,\n              },\n            });\n          }\n\n          // Tool part validation\n          if (tools && part.type.startsWith('tool-')) {\n            const toolPart = part as ToolUIPart<\n              InferUIMessageTools<UI_MESSAGE>\n            >;\n            const toolName = toolPart.type.slice(5);\n            const tool = getOwn(tools, toolName);\n\n            if (\n              !tool &&\n              (toolPart.state === 'output-available' ||\n                toolPart.state === 'output-error' ||\n                toolPart.state === 'output-denied')\n            ) {\n              continue;\n            }\n\n            // TODO support dynamic tools\n            if (!tool) {\n              return {\n                success: false,\n                error: new TypeValidationError({\n                  value: toolPart.input,\n                  cause: `No tool schema found for tool part ${toolName}`,\n                  context: {\n                    field: `messages[${msgIdx}].parts[${partIdx}].input`,\n                    entityName: toolName,\n                    entityId: toolPart.toolCallId,\n                  },\n                }),\n              };\n            }\n\n            // Tool input validation\n            // Note: input is intentionally not re-validated for terminal states.\n            // Terminal tool calls can keep invalid or incomplete input, and\n            // re-validating it on replay would crash follow-up messages.\n            if (toolPart.state === 'input-available') {\n              await validateTypes({\n                value: toolPart.input,\n                schema: tool.inputSchema,\n                context: {\n                  field: `messages[${msgIdx}].parts[${partIdx}].input`,\n                  entityName: toolName,\n                  entityId: toolPart.toolCallId,\n                },\n              });\n            }\n\n            // Tool output validation\n            if (toolPart.state === 'output-available' && tool.outputSchema) {\n              await validateTypes({\n                value: toolPart.output,\n                schema: tool.outputSchema,\n                context: {\n                  field: `messages[${msgIdx}].parts[${partIdx}].output`,\n                  entityName: toolName,\n                  entityId: toolPart.toolCallId,\n                },\n              });\n            }\n          }\n        }\n      }\n    }\n\n    return {\n      success: true,\n      data: validatedMessages as Array<UI_MESSAGE>,\n    };\n  } catch (error) {\n    const err = error as Error;\n\n    return {\n      success: false,\n      error: err,\n    };\n  }\n}\n\n/**\n * Validates a list of UI messages.\n *\n * Metadata, data parts, and generic tool call structures are only validated if\n * the corresponding schemas are provided. Otherwise, they are assumed to be\n * valid.\n */\nexport async function validateUIMessages<UI_MESSAGE extends UIMessage>({\n  messages,\n  metadataSchema,\n  dataSchemas,\n  tools,\n}: {\n  messages: unknown;\n  metadataSchema?: FlexibleSchema<UIMessage['metadata']>;\n  dataSchemas?: {\n    [NAME in keyof InferUIMessageData<UI_MESSAGE> & string]?: FlexibleSchema<\n      InferUIMessageData<UI_MESSAGE>[NAME]\n    >;\n  };\n  tools?: {\n    [NAME in keyof InferUIMessageTools<UI_MESSAGE> & string]?: Tool<\n      InferUIMessageTools<UI_MESSAGE>[NAME]['input'],\n      InferUIMessageTools<UI_MESSAGE>[NAME]['output']\n    >;\n  };\n}): Promise<Array<UI_MESSAGE>> {\n  const response = await safeValidateUIMessages({\n    messages,\n    metadataSchema,\n    dataSchemas,\n    tools,\n  });\n\n  if (!response.success) throw response.error;\n\n  return response.data;\n}\n", "import type {\n  Arrayable,\n  Context,\n  Experimental_SandboxSession as SandboxSession,\n  Tool,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type {\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n} from '../generate-text/generate-text-events';\nimport type { Output } from '../generate-text/output';\nimport type { StreamTextTransform } from '../generate-text/stream-text';\nimport type { UIMessageStreamOptions } from '../generate-text/stream-text-result';\nimport type { TimeoutConfiguration } from '../prompt/request-options';\nimport type { InferUIMessageChunk } from '../ui-message-stream';\nimport { toUIMessageStream } from '../ui-message-stream/to-ui-message-stream';\nimport { convertToModelMessages } from '../ui/convert-to-model-messages';\nimport type {\n  InferUIMessageTools,\n  InferUITools,\n  UIMessage,\n} from '../ui/ui-messages';\nimport { validateUIMessages } from '../ui/validate-ui-messages';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport type { Agent } from './agent';\n\n/**\n * Runs the agent and stream the output as a UI message stream.\n *\n * @param agent - The agent to run.\n * @param uiMessages - The input UI messages.\n * @param abortSignal - The abort signal. Optional.\n * @param timeout - Timeout in milliseconds. Optional.\n * @param experimental_sandbox - The sandbox environment that is passed through to tool execution. Optional.\n * @param options - The options for the agent.\n * @param experimental_transform - The stream transformations. Optional.\n * @param onStepEnd - Callback that is called when each step ends. Optional.\n * @param onStepFinish - Deprecated alias for `onStepEnd`. Optional.\n *\n * @returns The UI message stream.\n */\nexport async function createAgentUIStream<\n  CALL_OPTIONS = never,\n  TOOLS extends ToolSet = {},\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = never,\n  MESSAGE_METADATA = unknown,\n  UI_MESSAGE extends UIMessage<MESSAGE_METADATA, never, InferUITools<TOOLS>> =\n    UIMessage<MESSAGE_METADATA, never, InferUITools<TOOLS>>,\n>({\n  agent,\n  uiMessages,\n  options,\n  abortSignal,\n  timeout,\n  experimental_sandbox: sandbox,\n  experimental_transform,\n  onStepEnd,\n  onStepFinish,\n  ...uiMessageStreamOptions\n}: {\n  agent: Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  uiMessages: unknown[];\n  abortSignal?: AbortSignal;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  options?: CALL_OPTIONS;\n  experimental_transform?: Arrayable<StreamTextTransform<TOOLS>>;\n  onStepEnd?: GenerateTextOnStepEndCallback<TOOLS>;\n  /** @deprecated Use `onStepEnd` instead. */\n  onStepFinish?: GenerateTextOnStepFinishCallback<TOOLS>;\n  // TODO `originalMessages` is part of this for bc, omit in v7\n} & UIMessageStreamOptions<UI_MESSAGE>): Promise<\n  AsyncIterableStream<InferUIMessageChunk<UI_MESSAGE>>\n> {\n  const validatedMessages = await validateUIMessages<UI_MESSAGE>({\n    messages: uiMessages,\n    // tools are compatible; the casting is required because the context param is\n    // not available in ui messages\n    tools: agent.tools as unknown as {\n      [NAME in keyof InferUIMessageTools<UI_MESSAGE> & string]?: Tool<\n        InferUIMessageTools<UI_MESSAGE>[NAME]['input'],\n        InferUIMessageTools<UI_MESSAGE>[NAME]['output']\n      >;\n    },\n  });\n\n  const modelMessages = await convertToModelMessages(validatedMessages, {\n    tools: agent.tools,\n  });\n\n  const result = await agent.stream({\n    prompt: modelMessages,\n    options: options as CALL_OPTIONS,\n    abortSignal,\n    timeout,\n    experimental_sandbox: sandbox,\n    experimental_transform,\n    onStepEnd: onStepEnd ?? onStepFinish,\n  });\n\n  // TODO reading `originalMessages` is here for bc, always use `validatedMessages` in v7\n  const originalMessages =\n    uiMessageStreamOptions.originalMessages ?? validatedMessages;\n\n  return createAsyncIterableStream(\n    toUIMessageStream({\n      ...uiMessageStreamOptions,\n      originalMessages,\n      stream: result.stream,\n      tools: agent.tools,\n    }),\n  );\n}\n", "import type {\n  Arrayable,\n  Context,\n  Experimental_SandboxSession as SandboxSession,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type {\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n} from '../generate-text/generate-text-events';\nimport type { Output } from '../generate-text/output';\nimport type { StreamTextTransform } from '../generate-text/stream-text';\nimport type { UIMessageStreamOptions } from '../generate-text/stream-text-result';\nimport type { TimeoutConfiguration } from '../prompt/request-options';\nimport { createUIMessageStreamResponse } from '../ui-message-stream';\nimport type { UIMessageStreamResponseInit } from '../ui-message-stream/ui-message-stream-response-init';\nimport type { InferUITools, UIMessage } from '../ui/ui-messages';\nimport type { Agent } from './agent';\nimport { createAgentUIStream } from './create-agent-ui-stream';\n\n/**\n * Runs the agent and returns a response object with a UI message stream.\n *\n * @param agent - The agent to run.\n * @param uiMessages - The input UI messages.\n * @param abortSignal - Abort signal. Optional.\n * @param timeout - Timeout in milliseconds. Optional.\n * @param experimental_sandbox - The sandbox environment that is passed through to tool execution. Optional.\n * @param options - The options for the agent. Optional.\n * @param experimental_transform - Stream transformations. Optional.\n * @param onStepEnd - Callback that is called when each step ends. Optional.\n * @param onStepFinish - Deprecated alias for `onStepEnd`. Optional.\n * @param headers - Additional headers for the response. Optional.\n * @param status - The status code for the response. Optional.\n * @param statusText - The status text for the response. Optional.\n * @param consumeSseStream - Whether to consume the SSE stream. Optional.\n *\n * @returns The response object.\n */\nexport async function createAgentUIStreamResponse<\n  CALL_OPTIONS = never,\n  TOOLS extends ToolSet = {},\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = never,\n  MESSAGE_METADATA = unknown,\n>({\n  headers,\n  status,\n  statusText,\n  consumeSseStream,\n  ...options\n}: {\n  agent: Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  uiMessages: unknown[];\n  abortSignal?: AbortSignal;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  options?: CALL_OPTIONS;\n  experimental_transform?: Arrayable<StreamTextTransform<TOOLS>>;\n  onStepEnd?: GenerateTextOnStepEndCallback<TOOLS>;\n  /** @deprecated Use `onStepEnd` instead. */\n  onStepFinish?: GenerateTextOnStepFinishCallback<TOOLS>;\n} & UIMessageStreamResponseInit &\n  UIMessageStreamOptions<\n    UIMessage<MESSAGE_METADATA, never, InferUITools<TOOLS>>\n  >): Promise<Response> {\n  return createUIMessageStreamResponse({\n    headers,\n    status,\n    statusText,\n    consumeSseStream,\n    stream: await createAgentUIStream(options),\n  });\n}\n", "import type {\n  Arrayable,\n  Context,\n  Experimental_SandboxSession as SandboxSession,\n  ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { ServerResponse } from 'node:http';\nimport type {\n  GenerateTextOnStepEndCallback,\n  GenerateTextOnStepFinishCallback,\n} from '../generate-text/generate-text-events';\nimport type { Output } from '../generate-text/output';\nimport type { StreamTextTransform } from '../generate-text/stream-text';\nimport type { UIMessageStreamOptions } from '../generate-text/stream-text-result';\nimport type { TimeoutConfiguration } from '../prompt/request-options';\nimport { pipeUIMessageStreamToResponse } from '../ui-message-stream';\nimport type { UIMessageStreamResponseInit } from '../ui-message-stream/ui-message-stream-response-init';\nimport type { InferUITools, UIMessage } from '../ui/ui-messages';\nimport type { Agent } from './agent';\nimport { createAgentUIStream } from './create-agent-ui-stream';\n\n/**\n * Pipes the agent UI message stream to a Node.js ServerResponse object.\n *\n * @param response - The Node.js ServerResponse object to pipe to.\n * @param agent - The agent to run.\n * @param uiMessages - The input UI messages.\n * @param abortSignal - Abort signal. Optional.\n * @param timeout - Timeout in milliseconds. Optional.\n * @param experimental_sandbox - The sandbox environment that is passed through to tool execution. Optional.\n * @param options - The options for the agent. Optional.\n * @param experimental_transform - Stream transformations. Optional.\n * @param onStepEnd - Callback that is called when each step ends. Optional.\n * @param onStepFinish - Deprecated alias for `onStepEnd`. Optional.\n * @param headers - Additional headers for the response. Optional.\n * @param status - The status code for the response. Optional.\n * @param statusText - The status text for the response. Optional.\n * @param consumeSseStream - Whether to consume the SSE stream. Optional.\n */\nexport async function pipeAgentUIStreamToResponse<\n  CALL_OPTIONS = never,\n  TOOLS extends ToolSet = {},\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = never,\n  MESSAGE_METADATA = unknown,\n>({\n  response,\n  headers,\n  status,\n  statusText,\n  consumeSseStream,\n  ...options\n}: {\n  response: ServerResponse;\n  agent: Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  uiMessages: unknown[];\n  abortSignal?: AbortSignal;\n  timeout?: TimeoutConfiguration<TOOLS>;\n  experimental_sandbox?: SandboxSession;\n  options?: CALL_OPTIONS;\n  experimental_transform?: Arrayable<StreamTextTransform<TOOLS>>;\n  onStepEnd?: GenerateTextOnStepEndCallback<TOOLS>;\n  /** @deprecated Use `onStepEnd` instead. */\n  onStepFinish?: GenerateTextOnStepFinishCallback<TOOLS>;\n} & UIMessageStreamResponseInit &\n  UIMessageStreamOptions<\n    UIMessage<MESSAGE_METADATA, never, InferUITools<TOOLS>>\n  >): Promise<void> {\n  return pipeUIMessageStreamToResponse({\n    response,\n    headers,\n    status,\n    statusText,\n    consumeSseStream,\n    stream: await createAgentUIStream(options),\n  });\n}\n", "import {\n  UnsupportedFunctionalityError,\n  type Experimental_BatchLanguageModelV4 as BatchLanguageModelV4,\n  type Experimental_BatchV4ItemResult as BatchV4ItemResult,\n  type LanguageModelV4,\n  type LanguageModelV4GenerateResult,\n} from '@ai-sdk/provider';\nimport { withUserAgentSuffix } from '@ai-sdk/provider-utils';\nimport { InvalidArgumentError } from '../error/invalid-argument-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport { convertToLanguageModelPrompt } from '../prompt/convert-to-language-model-prompt';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\nimport { getTotalTimeoutMs } from '../prompt/request-options';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport { wrapGatewayError } from '../prompt/wrap-gateway-error';\nimport { asLanguageModelUsage } from '../types/usage';\nimport { asAsyncIterableStream } from '../util/async-iterable-stream';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type {\n  BatchOperationOptions,\n  BatchReference,\n  BatchStatus,\n  StartTextBatchOptions,\n  StartTextBatchResult,\n  TextBatchGenerationResult,\n  TextBatchItemResult,\n  TextBatchRequest,\n} from './batch-types';\n\n/**\n * Starts a durable text-generation batch.\n */\nexport async function startTextBatch({\n  model: modelArg,\n  requests,\n  providerOptions,\n  abortSignal,\n  headers,\n  timeout,\n}: StartTextBatchOptions): Promise<StartTextBatchResult> {\n  validateRequests(requests);\n\n  const model = resolveBatchLanguageModel(modelArg);\n  const operationAbortSignal = mergeAbortSignals(\n    abortSignal,\n    getTotalTimeoutMs(timeout),\n  );\n  const supportedUrls = await model.supportedUrls;\n  operationAbortSignal?.throwIfAborted();\n  const normalizedRequests = [];\n\n  for (const request of requests) {\n    const standardizedPrompt = await standardizePrompt(request);\n\n    normalizedRequests.push({\n      id: request.id,\n      options: {\n        ...prepareLanguageModelCallOptions(request),\n        prompt: await convertToLanguageModelPrompt({\n          prompt: standardizedPrompt,\n          supportedUrls,\n          download: undefined,\n          provider: model.provider.split('.')[0],\n        }),\n        providerOptions: request.providerOptions,\n      },\n    });\n    operationAbortSignal?.throwIfAborted();\n  }\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n  try {\n    const result = await model.experimental_doStartBatch({\n      requests: normalizedRequests,\n      providerOptions,\n      abortSignal: operationAbortSignal,\n      headers: headersWithUserAgent,\n    });\n    const { batchId, warnings, ...status } = result;\n\n    logWarnings({\n      warnings: warnings.map(({ warning }) => warning),\n      provider: model.provider,\n      model: model.modelId,\n    });\n\n    return {\n      version: 1,\n      type: 'text',\n      id: batchId,\n      provider: model.provider,\n      modelId: model.modelId,\n      ...status,\n      warnings,\n    };\n  } catch (error) {\n    throw wrapGatewayError(error);\n  }\n}\n\n/**\n * Retrieves the latest normalized status for a durable batch.\n */\nexport async function getBatchStatus({\n  model: modelArg,\n  batch,\n  providerOptions,\n  maxRetries,\n  abortSignal,\n  headers,\n  timeout,\n}: BatchOperationOptions): Promise<BatchStatus> {\n  const model = resolveBatchLanguageModel(modelArg);\n  validateBatchReference({ model, batch });\n\n  const operationAbortSignal = mergeAbortSignals(\n    abortSignal,\n    getTotalTimeoutMs(timeout),\n  );\n  const { retry } = prepareRetries({\n    maxRetries,\n    abortSignal: operationAbortSignal,\n  });\n\n  try {\n    const status = await retry(() =>\n      model.experimental_doGetBatchStatus({\n        batchId: batch.id,\n        providerOptions,\n        abortSignal: operationAbortSignal,\n        headers: withUserAgentSuffix(headers ?? {}, `ai/${VERSION}`),\n      }),\n    );\n\n    return status;\n  } catch (error) {\n    throw wrapGatewayError(error);\n  }\n}\n\n/**\n * Streams complete terminal results for the requests in a durable batch.\n */\nexport function getBatchResults({\n  model: modelArg,\n  batch,\n  providerOptions,\n  maxRetries,\n  abortSignal,\n  headers,\n  timeout,\n}: BatchOperationOptions) {\n  const model = resolveBatchLanguageModel(modelArg);\n  validateBatchReference({ model, batch });\n\n  const streamAbortController = new AbortController();\n  const operationAbortSignal = mergeAbortSignals(\n    abortSignal,\n    getTotalTimeoutMs(timeout),\n    streamAbortController.signal,\n  );\n  const { retry } = prepareRetries({\n    maxRetries,\n    abortSignal: operationAbortSignal,\n  });\n  const transformer: Transformer<\n    BatchV4ItemResult<LanguageModelV4GenerateResult>,\n    TextBatchItemResult\n  > & { cancel?: (reason?: unknown) => void } = {\n    transform(item, controller) {\n      controller.enqueue(convertBatchItemResult(item));\n    },\n\n    cancel(reason) {\n      streamAbortController.abort(\n        reason ?? new Error('Batch results stream was cancelled.'),\n      );\n    },\n  };\n  const transform = new TransformStream<\n    BatchV4ItemResult<LanguageModelV4GenerateResult>,\n    TextBatchItemResult\n  >(transformer);\n\n  void (async () => {\n    try {\n      const stream = await retry(() =>\n        model.experimental_doGetBatchResults({\n          batchId: batch.id,\n          providerOptions,\n          abortSignal: operationAbortSignal,\n          headers: withUserAgentSuffix(headers ?? {}, `ai/${VERSION}`),\n        }),\n      );\n\n      await stream.pipeTo(transform.writable, {\n        signal: operationAbortSignal,\n      });\n    } catch (error) {\n      await transform.writable.abort(wrapGatewayError(error)).catch(() => {});\n    }\n  })();\n\n  return asAsyncIterableStream(transform.readable);\n}\n\nfunction resolveBatchLanguageModel(\n  modelArg: StartTextBatchOptions['model'],\n): BatchLanguageModelV4 {\n  const model = resolveLanguageModel(modelArg);\n\n  if (!isBatchLanguageModel(model)) {\n    throw new UnsupportedFunctionalityError({\n      functionality: 'batch processing',\n      message: `The ${model.provider} model \"${model.modelId}\" does not support batch processing.`,\n    });\n  }\n\n  return model;\n}\n\nfunction isBatchLanguageModel(\n  model: LanguageModelV4,\n): model is BatchLanguageModelV4 {\n  const candidate = model as Partial<BatchLanguageModelV4>;\n  return (\n    typeof candidate.experimental_doStartBatch === 'function' &&\n    typeof candidate.experimental_doGetBatchStatus === 'function' &&\n    typeof candidate.experimental_doGetBatchResults === 'function'\n  );\n}\n\nfunction validateRequests(requests: ReadonlyArray<TextBatchRequest>) {\n  if (requests.length === 0) {\n    throw new InvalidArgumentError({\n      parameter: 'requests',\n      value: requests,\n      message: 'requests must not be empty',\n    });\n  }\n\n  const ids = new Set<string>();\n\n  for (const request of requests) {\n    if (request.id.trim().length === 0) {\n      throw new InvalidArgumentError({\n        parameter: 'requests',\n        value: requests,\n        message: 'request IDs must not be empty',\n      });\n    }\n\n    if (ids.has(request.id)) {\n      throw new InvalidArgumentError({\n        parameter: 'requests',\n        value: requests,\n        message: `request IDs must be unique; duplicate ID \"${request.id}\"`,\n      });\n    }\n\n    ids.add(request.id);\n  }\n}\n\nfunction validateBatchReference({\n  model,\n  batch,\n}: {\n  model: BatchLanguageModelV4;\n  batch: BatchReference;\n}) {\n  if (batch.version !== 1 || batch.type !== 'text') {\n    throw new InvalidArgumentError({\n      parameter: 'batch',\n      value: batch,\n      message: 'batch must be a supported text batch reference',\n    });\n  }\n\n  if (batch.provider !== model.provider || batch.modelId !== model.modelId) {\n    throw new InvalidArgumentError({\n      parameter: 'model',\n      value: model,\n      message:\n        `model ${model.provider}:${model.modelId} is not compatible with ` +\n        `batch ${batch.provider}:${batch.modelId}`,\n    });\n  }\n}\n\nfunction convertBatchItemResult(\n  item: BatchV4ItemResult<LanguageModelV4GenerateResult>,\n): TextBatchItemResult {\n  if (item.status !== 'succeeded') {\n    return item;\n  }\n\n  return {\n    id: item.id,\n    status: 'succeeded',\n    ...convertGenerateResult(item.result),\n  };\n}\n\nfunction convertGenerateResult(\n  result: LanguageModelV4GenerateResult,\n): TextBatchGenerationResult {\n  return {\n    text: result.content\n      .filter(\n        (part): part is Extract<typeof part, { type: 'text' }> =>\n          part.type === 'text',\n      )\n      .map(part => part.text)\n      .join(''),\n    finishReason: result.finishReason.unified,\n    rawFinishReason: result.finishReason.raw,\n    usage: asLanguageModelUsage(result.usage),\n    ...(result.response != null\n      ? {\n          response: {\n            id: result.response.id,\n            timestamp: result.response.timestamp?.toISOString(),\n            modelId: result.response.modelId,\n          },\n        }\n      : {}),\n    providerMetadata: result.providerMetadata,\n  };\n}\n", "import {\n  createIdGenerator,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveEmbeddingModel } from '../model/resolve-model';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport type { EmbeddingModel } from '../types';\nimport type { Callback } from '../util/callback';\nimport { notify } from '../util/notify';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type { EmbedEndEvent, EmbedStartEvent } from './embed-events';\nimport type { EmbedResult } from './embed-result';\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\n/**\n * Embed a value using an embedding model. The type of the value is defined by the embedding model.\n *\n * @param model - The embedding model to use.\n * @param value - The value that should be embedded.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param telemetry - Optional telemetry configuration.\n *\n * @param providerOptions - Additional provider-specific options. They are passed through\n * to the provider from the AI SDK and enable provider-specific\n * functionality that can be fully encapsulated in the provider.\n *\n * @returns A result object that contains the embedding, the value, and additional information.\n */\nexport async function embed({\n  model: modelArg,\n  value,\n  providerOptions,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  experimental_telemetry,\n  telemetry = experimental_telemetry,\n  onStart,\n  experimental_onStart,\n  onEnd,\n  experimental_onEnd,\n  _internal: { generateCallId = originalGenerateCallId } = {},\n}: {\n  /**\n   * The embedding model to use.\n   */\n  model: EmbeddingModel;\n\n  /**\n   * The value that should be embedded.\n   */\n  value: string;\n\n  /**\n   * Maximum number of retries per embedding model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Additional provider-specific options. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Optional telemetry configuration.\n   */\n  telemetry?: TelemetryOptions;\n\n  /**\n   * Optional telemetry configuration.\n   *\n   * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n   */\n  experimental_telemetry?: TelemetryOptions;\n\n  /**\n   * Callback that is called when the embed operation begins,\n   * before the embedding model is called.\n   */\n  onStart?: Callback<EmbedStartEvent>;\n\n  /**\n   * Callback that is called when the embed operation begins,\n   * before the embedding model is called.\n   *\n   * @deprecated Use `onStart` instead.\n   */\n  experimental_onStart?: Callback<EmbedStartEvent>;\n\n  /**\n   * Callback that is called when the embed operation completes,\n   * after the embedding model returns.\n   */\n  onEnd?: Callback<EmbedEndEvent>;\n\n  /**\n   * Callback that is called when the embed operation completes,\n   * after the embedding model returns.\n   *\n   * @deprecated Use `onEnd` instead.\n   */\n  experimental_onEnd?: Callback<EmbedEndEvent>;\n\n  /**\n   * Internal. For test use only. May change without notice.\n   */\n  _internal?: {\n    generateCallId?: () => string;\n  };\n}): Promise<EmbedResult> {\n  const model = resolveEmbeddingModel(modelArg);\n\n  const { maxRetries, retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnEnd = onEnd ?? experimental_onEnd;\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const callId = generateCallId();\n\n  const telemetryDispatcher = createTelemetryDispatcher({\n    telemetry,\n  });\n\n  const runInTracingChannelSpan =\n    telemetryDispatcher.runInTracingChannelSpan ??\n    (async <T>({ execute }: { execute: () => PromiseLike<T> }) =>\n      await execute());\n\n  const startEvent = {\n    callId,\n    operationId: 'ai.embed',\n    provider: model.provider,\n    modelId: model.modelId,\n    value,\n    maxRetries,\n    headers: headersWithUserAgent,\n    providerOptions,\n  };\n\n  return await runInTracingChannelSpan({\n    type: 'embed',\n    event: startEvent,\n    execute: async () => {\n      await notify({\n        event: startEvent,\n        callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n      });\n\n      try {\n        const { embedding, usage, warnings, response, providerMetadata } =\n          await retry(async () => {\n            const embedCallId = generateCallId();\n\n            await notify({\n              event: {\n                callId,\n                embedCallId,\n                operationId: 'ai.embed.doEmbed',\n                provider: model.provider,\n                modelId: model.modelId,\n                values: [value],\n              },\n              callbacks: [telemetryDispatcher.onEmbedStart],\n            });\n\n            const modelResponse = await model.doEmbed({\n              values: [value],\n              abortSignal,\n              headers: headersWithUserAgent,\n              providerOptions,\n            });\n\n            const embedding = modelResponse.embeddings[0];\n            const usage = modelResponse.usage ?? { tokens: NaN };\n\n            await notify({\n              event: {\n                callId,\n                embedCallId,\n                operationId: 'ai.embed.doEmbed',\n                provider: model.provider,\n                modelId: model.modelId,\n                values: [value],\n                embeddings: modelResponse.embeddings,\n                usage,\n              },\n              callbacks: [telemetryDispatcher.onEmbedEnd],\n            });\n\n            return {\n              embedding,\n              usage,\n              warnings: modelResponse.warnings ?? [],\n              providerMetadata: modelResponse.providerMetadata,\n              response: modelResponse.response,\n            };\n          });\n\n        logWarnings({\n          warnings,\n          provider: model.provider,\n          model: model.modelId,\n        });\n\n        await notify({\n          event: {\n            callId,\n            operationId: 'ai.embed',\n            provider: model.provider,\n            modelId: model.modelId,\n            value,\n            embedding,\n            usage,\n            warnings,\n            providerMetadata,\n            response,\n          },\n          callbacks: [resolvedOnEnd, telemetryDispatcher.onEnd],\n        });\n\n        return new DefaultEmbedResult({\n          value,\n          embedding,\n          usage,\n          warnings,\n          providerMetadata,\n          response,\n        });\n      } catch (error) {\n        await telemetryDispatcher.onError?.({ callId, error });\n        throw error;\n      }\n    },\n  });\n}\n\nclass DefaultEmbedResult implements EmbedResult {\n  readonly value: EmbedResult['value'];\n  readonly embedding: EmbedResult['embedding'];\n  readonly usage: EmbedResult['usage'];\n  readonly warnings: EmbedResult['warnings'];\n  readonly providerMetadata: EmbedResult['providerMetadata'];\n  readonly response: EmbedResult['response'];\n\n  constructor(options: {\n    value: EmbedResult['value'];\n    embedding: EmbedResult['embedding'];\n    usage: EmbedResult['usage'];\n    warnings: EmbedResult['warnings'];\n    providerMetadata?: EmbedResult['providerMetadata'];\n    response?: EmbedResult['response'];\n  }) {\n    this.value = options.value;\n    this.embedding = options.embedding;\n    this.usage = options.usage;\n    this.warnings = options.warnings;\n    this.providerMetadata = options.providerMetadata;\n    this.response = options.response;\n  }\n}\n", "import {\n  createIdGenerator,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveEmbeddingModel } from '../model/resolve-model';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport type { Embedding, EmbeddingModel, ProviderMetadata } from '../types';\nimport type { Warning } from '../types/warning';\nimport type { Callback } from '../util/callback';\nimport { notify } from '../util/notify';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { splitArray } from '../util/split-array';\nimport type { EmbedEndEvent, EmbedStartEvent } from './embed-events';\nimport type { EmbedManyResult } from './embed-many-result';\nimport { VERSION } from '../version';\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\n/**\n * Embed several values using an embedding model. The type of the value is defined\n * by the embedding model.\n *\n * `embedMany` automatically splits large requests into smaller chunks if the model\n * has a limit on how many embeddings can be generated in a single call.\n *\n * @param model - The embedding model to use.\n * @param values - The values that should be embedded.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param maxParallelCalls - Maximum number of concurrent requests. Default: Infinity.\n *\n * @param telemetry - Optional telemetry configuration.\n *\n * @param providerOptions - Additional provider-specific options. They are passed through\n * to the provider from the AI SDK and enable provider-specific\n * functionality that can be fully encapsulated in the provider.\n *\n * @returns A result object that contains the embeddings, the value, and additional information.\n */\nexport async function embedMany({\n  model: modelArg,\n  values,\n  maxParallelCalls = Infinity,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  providerOptions,\n  experimental_telemetry,\n  telemetry = experimental_telemetry,\n  onStart,\n  experimental_onStart,\n  onEnd,\n  experimental_onEnd,\n  _internal: { generateCallId = originalGenerateCallId } = {},\n}: {\n  /**\n   * The embedding model to use.\n   */\n  model: EmbeddingModel;\n\n  /**\n   * The values that should be embedded.\n   */\n  values: Array<string>;\n\n  /**\n   * Maximum number of retries per embedding model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Optional telemetry configuration.\n   */\n  telemetry?: TelemetryOptions;\n\n  /**\n   * Optional telemetry configuration.\n   *\n   * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n   */\n  experimental_telemetry?: TelemetryOptions;\n\n  /**\n   * Additional provider-specific options. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Maximum number of concurrent requests.\n   *\n   * @default Infinity\n   */\n  maxParallelCalls?: number;\n\n  /**\n   * Callback that is called when the embedMany operation begins,\n   * before the embedding model is called.\n   */\n  onStart?: Callback<EmbedStartEvent>;\n\n  /**\n   * Callback that is called when the embedMany operation begins,\n   * before the embedding model is called.\n   *\n   * @deprecated Use `onStart` instead.\n   */\n  experimental_onStart?: Callback<EmbedStartEvent>;\n\n  /**\n   * Callback that is called when the embedMany operation completes,\n   * after all embedding model calls return.\n   */\n  onEnd?: Callback<EmbedEndEvent>;\n\n  /**\n   * Callback that is called when the embedMany operation completes,\n   * after all embedding model calls return.\n   *\n   * @deprecated Use `onEnd` instead.\n   */\n  experimental_onEnd?: Callback<EmbedEndEvent>;\n\n  /**\n   * Internal. For test use only. May change without notice.\n   */\n  _internal?: {\n    generateCallId?: () => string;\n  };\n}): Promise<EmbedManyResult> {\n  const model = resolveEmbeddingModel(modelArg);\n\n  const { maxRetries, retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnEnd = onEnd ?? experimental_onEnd;\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const callId = generateCallId();\n\n  const telemetryDispatcher = createTelemetryDispatcher({\n    telemetry,\n  });\n\n  const runInTracingChannelSpan =\n    telemetryDispatcher.runInTracingChannelSpan ??\n    (async <T>({ execute }: { execute: () => PromiseLike<T> }) =>\n      await execute());\n\n  const startEvent = {\n    callId,\n    operationId: 'ai.embedMany',\n    provider: model.provider,\n    modelId: model.modelId,\n    value: values,\n    maxRetries,\n    headers: headersWithUserAgent,\n    providerOptions,\n  };\n\n  return await runInTracingChannelSpan({\n    type: 'embedMany',\n    event: startEvent,\n    execute: async () => {\n      await notify({\n        event: startEvent,\n        callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n      });\n\n      try {\n        const [maxEmbeddingsPerCall, supportsParallelCalls] = await Promise.all(\n          [model.maxEmbeddingsPerCall, model.supportsParallelCalls],\n        );\n\n        if (maxEmbeddingsPerCall == null || maxEmbeddingsPerCall === Infinity) {\n          const { embeddings, usage, warnings, response, providerMetadata } =\n            await retry(async () => {\n              const embedCallId = generateCallId();\n\n              await notify({\n                event: {\n                  callId,\n                  embedCallId,\n                  operationId: 'ai.embedMany.doEmbed',\n                  provider: model.provider,\n                  modelId: model.modelId,\n                  values,\n                },\n                callbacks: [telemetryDispatcher.onEmbedStart],\n              });\n\n              const modelResponse = await model.doEmbed({\n                values,\n                abortSignal,\n                headers: headersWithUserAgent,\n                providerOptions,\n              });\n\n              const embeddings = modelResponse.embeddings;\n              const usage = modelResponse.usage ?? { tokens: NaN };\n\n              await notify({\n                event: {\n                  callId,\n                  embedCallId,\n                  operationId: 'ai.embedMany.doEmbed',\n                  provider: model.provider,\n                  modelId: model.modelId,\n                  values,\n                  embeddings,\n                  usage,\n                },\n                callbacks: [telemetryDispatcher.onEmbedEnd],\n              });\n\n              return {\n                embeddings,\n                usage,\n                warnings: modelResponse.warnings ?? [],\n                providerMetadata: modelResponse.providerMetadata,\n                response: modelResponse.response,\n              };\n            });\n\n          logWarnings({\n            warnings,\n            provider: model.provider,\n            model: model.modelId,\n          });\n\n          await notify({\n            event: {\n              callId,\n              operationId: 'ai.embedMany',\n              provider: model.provider,\n              modelId: model.modelId,\n              value: values,\n              embedding: embeddings,\n              usage,\n              warnings,\n              providerMetadata,\n              response: [response],\n            },\n            callbacks: [resolvedOnEnd, telemetryDispatcher.onEnd],\n          });\n\n          return new DefaultEmbedManyResult({\n            values,\n            embeddings,\n            usage,\n            warnings,\n            providerMetadata,\n            responses: [response],\n          });\n        }\n\n        const valueChunks = splitArray(values, maxEmbeddingsPerCall);\n\n        const embeddings: Array<Embedding> = [];\n        const warnings: Array<Warning> = [];\n        const responses: Array<\n          | {\n              headers?: Record<string, string>;\n              body?: unknown;\n            }\n          | undefined\n        > = [];\n        let tokens = 0;\n        let providerMetadata: ProviderMetadata | undefined;\n\n        const parallelChunks = splitArray(\n          valueChunks,\n          supportsParallelCalls ? maxParallelCalls : 1,\n        );\n\n        for (const parallelChunk of parallelChunks) {\n          const results = await Promise.all(\n            parallelChunk.map(chunk => {\n              return retry(async () => {\n                const embedCallId = generateCallId();\n\n                await notify({\n                  event: {\n                    callId,\n                    embedCallId,\n                    operationId: 'ai.embedMany.doEmbed',\n                    provider: model.provider,\n                    modelId: model.modelId,\n                    values: chunk,\n                  },\n                  callbacks: [telemetryDispatcher.onEmbedStart],\n                });\n\n                const modelResponse = await model.doEmbed({\n                  values: chunk,\n                  abortSignal,\n                  headers: headersWithUserAgent,\n                  providerOptions,\n                });\n\n                const chunkEmbeddings = modelResponse.embeddings;\n                const usage = modelResponse.usage ?? { tokens: NaN };\n\n                await notify({\n                  event: {\n                    callId,\n                    embedCallId,\n                    operationId: 'ai.embedMany.doEmbed',\n                    provider: model.provider,\n                    modelId: model.modelId,\n                    values: chunk,\n                    embeddings: chunkEmbeddings,\n                    usage,\n                  },\n                  callbacks: [telemetryDispatcher.onEmbedEnd],\n                });\n\n                return {\n                  embeddings: chunkEmbeddings,\n                  usage,\n                  warnings: modelResponse.warnings ?? [],\n                  providerMetadata: modelResponse.providerMetadata,\n                  response: modelResponse.response,\n                };\n              });\n            }),\n          );\n\n          for (const result of results) {\n            embeddings.push(...result.embeddings);\n            warnings.push(...result.warnings);\n            responses.push(result.response);\n            tokens += result.usage.tokens;\n            if (result.providerMetadata) {\n              if (!providerMetadata) {\n                providerMetadata = { ...result.providerMetadata };\n              } else {\n                for (const [providerName, metadata] of Object.entries(\n                  result.providerMetadata,\n                )) {\n                  providerMetadata[providerName] = {\n                    ...(providerMetadata[providerName] ?? {}),\n                    ...metadata,\n                  };\n                }\n              }\n            }\n          }\n        }\n\n        logWarnings({\n          warnings,\n          provider: model.provider,\n          model: model.modelId,\n        });\n\n        await notify({\n          event: {\n            callId,\n            operationId: 'ai.embedMany',\n            provider: model.provider,\n            modelId: model.modelId,\n            value: values,\n            embedding: embeddings,\n            usage: { tokens },\n            warnings,\n            providerMetadata,\n            response: responses,\n          },\n          callbacks: [resolvedOnEnd, telemetryDispatcher.onEnd],\n        });\n\n        return new DefaultEmbedManyResult({\n          values,\n          embeddings,\n          usage: { tokens },\n          warnings,\n          providerMetadata: providerMetadata,\n          responses,\n        });\n      } catch (error) {\n        await telemetryDispatcher.onError?.({ callId, error });\n        throw error;\n      }\n    },\n  });\n}\n\nclass DefaultEmbedManyResult implements EmbedManyResult {\n  readonly values: EmbedManyResult['values'];\n  readonly embeddings: EmbedManyResult['embeddings'];\n  readonly usage: EmbedManyResult['usage'];\n  readonly warnings: EmbedManyResult['warnings'];\n  readonly providerMetadata: EmbedManyResult['providerMetadata'];\n  readonly responses: EmbedManyResult['responses'];\n\n  constructor(options: {\n    values: EmbedManyResult['values'];\n    embeddings: EmbedManyResult['embeddings'];\n    usage: EmbedManyResult['usage'];\n    warnings: EmbedManyResult['warnings'];\n    providerMetadata?: EmbedManyResult['providerMetadata'];\n    responses?: EmbedManyResult['responses'];\n  }) {\n    this.values = options.values;\n    this.embeddings = options.embeddings;\n    this.usage = options.usage;\n    this.warnings = options.warnings;\n    this.providerMetadata = options.providerMetadata;\n    this.responses = options.responses;\n  }\n}\n", "/**\n * Splits an array into chunks of a specified size.\n *\n * @template T - The type of elements in the array.\n * @param {T[]} array - The array to split.\n * @param {number} chunkSize - The size of each chunk.\n * @returns {T[][]} - A new array containing the chunks.\n */\nexport function splitArray<T>(array: T[], chunkSize: number): T[][] {\n  if (chunkSize <= 0) {\n    throw new Error('chunkSize must be greater than 0');\n  }\n\n  const result = [];\n  for (let i = 0; i < array.length; i += chunkSize) {\n    result.push(array.slice(i, i + chunkSize));\n  }\n\n  return result;\n}\n", "import type {\n  ImageModelV4,\n  ImageModelV4CallOptions,\n  ImageModelV4File,\n  ImageModelV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  convertBase64ToUint8Array,\n  detectMediaType,\n  withUserAgentSuffix,\n  type DataContent,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoImageGeneratedError } from '../error/no-image-generated-error';\nimport {\n  DefaultGeneratedFile,\n  type GeneratedFile,\n} from '../generate-text/generated-file';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveImageModel } from '../model/resolve-model';\nimport type { ImageModel } from '../types/image-model';\nimport type { ImageModelResponseMetadata } from '../types/image-model-response-metadata';\nimport { addImageModelUsage, type ImageModelUsage } from '../types/usage';\nimport type { Warning } from '../types/warning';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type { GenerateImageResult } from './generate-image-result';\nimport { convertDataContentToUint8Array } from '../prompt/data-content';\nimport { splitDataUrl } from '../prompt/split-data-url';\n\nexport type GenerateImagePrompt =\n  | string\n  | {\n      images: Array<DataContent>;\n      text?: string;\n      mask?: DataContent;\n    };\n\n/**\n * Generates images using an image model.\n *\n * @param model - The image model to use.\n * @param prompt - The prompt that should be used to generate the image.\n * @param n - Number of images to generate. Default: 1.\n * @param maxImagesPerCall - Maximum number of images to generate in a single API call.\n * @param size - Size of the images to generate. Must have the format `{width}x{height}`.\n * @param aspectRatio - Aspect ratio of the images to generate. Must have the format `{width}:{height}`.\n * @param seed - Seed for the image generation.\n * @param providerOptions - Additional provider-specific options that are passed through to the provider\n * as body parameters.\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @returns A result object that contains the generated images.\n */\nexport async function generateImage({\n  model: modelArg,\n  prompt: promptArg,\n  n = 1,\n  maxImagesPerCall,\n  size,\n  aspectRatio,\n  seed,\n  providerOptions,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n}: {\n  /**\n   * The image model to use.\n   */\n  model: ImageModel;\n\n  /**\n   * The prompt that should be used to generate the image.\n   */\n  prompt: GenerateImagePrompt;\n\n  /**\n   * Number of images to generate.\n   */\n  n?: number;\n\n  /**\n   * Maximum number of images to generate in a single API call. If not provided, the model's default will be used.\n   */\n  maxImagesPerCall?: number;\n\n  /**\n   * Size of the images to generate. Must have the format `{width}x{height}`. If not provided, the default size will be used.\n   */\n  size?: `${number}x${number}`;\n\n  /**\n   * Aspect ratio of the images to generate. Must have the format `{width}:{height}`. If not provided, the default aspect ratio will be used.\n   */\n  aspectRatio?: `${number}:${number}`;\n\n  /**\n   * Seed for the image generation. If not provided, the default seed will be used.\n   */\n  seed?: number;\n\n  /**\n   * Additional provider-specific options that are passed through to the provider\n   * as body parameters.\n   *\n   * The outer record is keyed by the provider name, and the inner\n   * record is keyed by the provider-specific metadata key.\n   * ```ts\n   * {\n   * \"openai\": {\n   * \"style\": \"vivid\"\n   * }\n   * }\n   * ```\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Maximum number of retries per image model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n}): Promise<GenerateImageResult> {\n  const model = resolveImageModel(modelArg);\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  // default to 1 if the model has not specified limits on\n  // how many images can be generated in a single call\n  const maxImagesPerCallWithDefault =\n    maxImagesPerCall ?? (await invokeModelMaxImagesPerCall(model)) ?? 1;\n\n  // parallelize calls to the model:\n  const callCount = Math.ceil(n / maxImagesPerCallWithDefault);\n  const callImageCounts = Array.from({ length: callCount }, (_, i) => {\n    if (i < callCount - 1) {\n      return maxImagesPerCallWithDefault;\n    }\n\n    const remainder = n % maxImagesPerCallWithDefault;\n    return remainder === 0 ? maxImagesPerCallWithDefault : remainder;\n  });\n\n  const results = await Promise.all(\n    callImageCounts.map(\n      async callImageCount =>\n        await retry(() => {\n          const { prompt, files, mask } = normalizePrompt(promptArg);\n\n          return model.doGenerate({\n            prompt,\n            files,\n            mask,\n            n: callImageCount,\n            abortSignal,\n            headers: headersWithUserAgent,\n            size,\n            aspectRatio,\n            seed,\n            providerOptions: providerOptions ?? {},\n          });\n        }),\n    ),\n  );\n\n  // collect result images, warnings, and response metadata\n  const images: Array<DefaultGeneratedFile> = [];\n  const warnings: Array<Warning> = [];\n  const responses: Array<ImageModelResponseMetadata> = [];\n  const providerMetadata: ImageModelV4ProviderMetadata = {};\n  let totalUsage: ImageModelUsage = {\n    inputTokens: undefined,\n    outputTokens: undefined,\n    totalTokens: undefined,\n  };\n  for (const result of results) {\n    images.push(\n      ...result.images.map(\n        image =>\n          new DefaultGeneratedFile({\n            data: image,\n            mediaType:\n              detectMediaType({\n                data: image,\n                topLevelType: 'image',\n              }) ?? 'image/png',\n          }),\n      ),\n    );\n    warnings.push(...result.warnings);\n\n    if (result.usage != null) {\n      totalUsage = addImageModelUsage(totalUsage, result.usage);\n    }\n\n    if (result.providerMetadata) {\n      for (const [providerName, metadata] of Object.entries<{\n        images: unknown;\n      }>(result.providerMetadata)) {\n        if (providerName === 'gateway') {\n          const currentEntry = providerMetadata[providerName];\n          if (currentEntry != null && typeof currentEntry === 'object') {\n            providerMetadata[providerName] = {\n              ...(currentEntry as object),\n              ...metadata,\n            } as ImageModelV4ProviderMetadata[string];\n          } else {\n            providerMetadata[providerName] =\n              metadata as ImageModelV4ProviderMetadata[string];\n          }\n          const imagesValue = (\n            providerMetadata[providerName] as { images?: unknown }\n          ).images;\n          if (Array.isArray(imagesValue) && imagesValue.length === 0) {\n            delete (providerMetadata[providerName] as { images?: unknown })\n              .images;\n          }\n        } else {\n          providerMetadata[providerName] ??= { images: [] };\n          providerMetadata[providerName].images.push(\n            ...result.providerMetadata[providerName].images,\n          );\n        }\n      }\n    }\n\n    responses.push(result.response);\n  }\n\n  logWarnings({ warnings, provider: model.provider, model: model.modelId });\n\n  if (!images.length) {\n    throw new NoImageGeneratedError({ responses });\n  }\n\n  return new DefaultGenerateImageResult({\n    images,\n    warnings,\n    responses,\n    providerMetadata,\n    usage: totalUsage,\n  });\n}\n\nclass DefaultGenerateImageResult implements GenerateImageResult {\n  readonly images: Array<GeneratedFile>;\n  readonly warnings: Array<Warning>;\n  readonly responses: Array<ImageModelResponseMetadata>;\n  readonly providerMetadata: ImageModelV4ProviderMetadata;\n  readonly usage: ImageModelUsage;\n\n  constructor(options: {\n    images: Array<GeneratedFile>;\n    warnings: Array<Warning>;\n    responses: Array<ImageModelResponseMetadata>;\n    providerMetadata: ImageModelV4ProviderMetadata;\n    usage: ImageModelUsage;\n  }) {\n    this.images = options.images;\n    this.warnings = options.warnings;\n    this.responses = options.responses;\n    this.providerMetadata = options.providerMetadata;\n    this.usage = options.usage;\n  }\n\n  get image() {\n    return this.images[0];\n  }\n}\n\nasync function invokeModelMaxImagesPerCall(model: ImageModelV4) {\n  const isFunction = model.maxImagesPerCall instanceof Function;\n\n  if (!isFunction) {\n    return model.maxImagesPerCall;\n  }\n\n  return model.maxImagesPerCall({\n    modelId: model.modelId,\n  });\n}\n\nfunction normalizePrompt(\n  prompt: GenerateImagePrompt,\n): Pick<ImageModelV4CallOptions, 'prompt' | 'files' | 'mask'> {\n  if (typeof prompt === 'string') {\n    return { prompt, files: undefined, mask: undefined };\n  }\n\n  return {\n    prompt: prompt.text,\n    files: prompt.images.map(toImageModelV4File),\n    mask: prompt.mask ? toImageModelV4File(prompt.mask) : undefined,\n  };\n}\n\nfunction toImageModelV4File(dataContent: DataContent): ImageModelV4File {\n  if (typeof dataContent === 'string' && dataContent.startsWith('http')) {\n    return {\n      type: 'url',\n      url: dataContent,\n    };\n  }\n\n  // Handle data URLs\n  if (typeof dataContent === 'string' && dataContent.startsWith('data:')) {\n    const { mediaType: dataUrlMediaType, base64Content } =\n      splitDataUrl(dataContent);\n\n    if (base64Content != null) {\n      const uint8Data = convertBase64ToUint8Array(base64Content);\n      return {\n        type: 'file',\n        data: uint8Data,\n        mediaType:\n          dataUrlMediaType ||\n          detectMediaType({\n            data: uint8Data,\n            topLevelType: 'image',\n          }) ||\n          'image/png',\n      };\n    }\n  }\n\n  const uint8Data = convertDataContentToUint8Array(dataContent);\n  return {\n    type: 'file',\n    data: uint8Data,\n    mediaType:\n      detectMediaType({\n        data: uint8Data,\n        topLevelType: 'image',\n      }) || 'image/png',\n  };\n}\n", "import {\n  convertBase64ToUint8Array,\n  convertUint8ArrayToBase64,\n  type DataContent,\n} from '@ai-sdk/provider-utils';\nimport { InvalidDataContentError } from './invalid-data-content-error';\n\n/**\n * Converts data content to a base64-encoded string.\n *\n * @param content - Data content to convert.\n * @returns Base64-encoded string.\n */\nexport function convertDataContentToBase64String(content: DataContent): string {\n  if (typeof content === 'string') {\n    return content;\n  }\n\n  if (content instanceof ArrayBuffer) {\n    return convertUint8ArrayToBase64(new Uint8Array(content));\n  }\n\n  return convertUint8ArrayToBase64(content);\n}\n\n/**\n * Converts data content to a Uint8Array.\n *\n * @param content - Data content to convert.\n * @returns Uint8Array.\n */\nexport function convertDataContentToUint8Array(\n  content: DataContent,\n): Uint8Array {\n  if (content instanceof Uint8Array) {\n    return content;\n  }\n\n  if (typeof content === 'string') {\n    try {\n      return convertBase64ToUint8Array(content);\n    } catch (error) {\n      throw new InvalidDataContentError({\n        message:\n          'Invalid data content. Content string is not a base64-encoded media.',\n        content,\n        cause: error,\n      });\n    }\n  }\n\n  if (content instanceof ArrayBuffer) {\n    return new Uint8Array(content);\n  }\n\n  throw new InvalidDataContentError({ content });\n}\n", "import type { JSONValue } from '@ai-sdk/provider';\nimport {\n  createIdGenerator,\n  withUserAgentSuffix,\n  type FlexibleSchema,\n  type InferSchema,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoObjectGeneratedError } from '../error/no-object-generated-error';\nimport { extractReasoningContent } from '../generate-text/extract-reasoning-content';\nimport { extractTextContent } from '../generate-text/extract-text-content';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport { convertToLanguageModelPrompt } from '../prompt/convert-to-language-model-prompt';\nimport type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\nimport type { Prompt } from '../prompt/prompt';\nimport type { RequestOptions } from '../prompt/request-options';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport { wrapGatewayError } from '../prompt/wrap-gateway-error';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport type { LanguageModel } from '../types/language-model';\nimport type { LanguageModelRequestMetadata } from '../types/language-model-request-metadata';\nimport type { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';\nimport { asLanguageModelUsage } from '../types/usage';\nimport type { Callback } from '../util/callback';\nimport type { DownloadFunction } from '../util/download/download-function';\nimport { notify } from '../util/notify';\nimport { prepareHeaders } from '../util/prepare-headers';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type { GenerateObjectResult } from './generate-object-result';\nimport { getOutputStrategy } from './output-strategy';\nimport { parseAndValidateObjectResultWithRepair } from './parse-and-validate-object-result';\nimport type { RepairTextFunction } from './repair-text';\nimport type {\n  GenerateObjectEndEvent,\n  GenerateObjectStartEvent,\n  GenerateObjectStepEndEvent,\n  GenerateObjectStepStartEvent,\n} from './structured-output-events';\nimport { validateObjectGenerationInput } from './validate-object-generation-input';\n\nconst originalGenerateId = createIdGenerator({ prefix: 'aiobj', size: 24 });\n\n/**\n * Generate a structured, typed object for a given prompt and schema using a language model.\n *\n * This function does not stream the output. If you want to stream the output, use `streamObject` instead.\n *\n * @param model - The language model to use.\n *\n * @param system - A system message that will be part of the prompt.\n * @param prompt - A simple text prompt. You can either use `prompt` or `messages` but not both.\n * @param messages - A list of messages. You can either use `prompt` or `messages` but not both.\n * @param allowSystemInMessages - Whether system messages are allowed in the `prompt` or `messages` fields. Default: false.\n *\n * @param maxOutputTokens - Maximum number of tokens to generate.\n * @param temperature - Temperature setting.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topP - Nucleus sampling.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topK - Only sample from the top K options for each subsequent token.\n * Used to remove \"long tail\" low probability responses.\n * Recommended for advanced use cases only. You usually only need to use temperature.\n * @param presencePenalty - Presence penalty setting.\n * It affects the likelihood of the model to repeat information that is already in the prompt.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param frequencyPenalty - Frequency penalty setting.\n * It affects the likelihood of the model to repeatedly use the same words or phrases.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param stopSequences - Stop sequences.\n * If set, the model will stop generating text when one of the stop sequences is generated.\n * @param seed - The seed (integer) to use for random sampling.\n * If set and supported by the model, calls will generate deterministic results.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param schema - The schema of the object that the model should generate.\n * @param schemaName - Optional name of the output that should be generated.\n * Used by some providers for additional LLM guidance, e.g.\n * via tool or schema name.\n * @param schemaDescription - Optional description of the output that should be generated.\n * Used by some providers for additional LLM guidance, e.g.\n * via tool or schema description.\n *\n * @param output - The type of the output.\n *\n * - 'object': The output is an object.\n * - 'array': The output is an array.\n * - 'enum': The output is an enum.\n * - 'no-schema': The output is not a schema.\n *\n * @param repairText - A function that attempts to repair the raw output of the model\n * to enable JSON parsing.\n * @param experimental_repairText - Deprecated alias for `repairText`.\n *\n * @param telemetry - Optional telemetry configuration.\n *\n * @param providerOptions - Additional provider-specific options. They are passed through\n * to the provider from the AI SDK and enable provider-specific\n * functionality that can be fully encapsulated in the provider.\n *\n * @param onStart - Callback invoked when generation begins, before the LLM call.\n * @param experimental_onStart - Deprecated alias for `onStart`.\n * @param onStepStart - Callback invoked when the model call begins.\n * @param experimental_onStepStart - Deprecated alias for `onStepStart`.\n * @param onStepEnd - Callback invoked when the model call completes with the raw result.\n * @param onStepFinish - Deprecated alias for `onStepEnd`.\n * @param onFinish - Callback invoked when the entire operation completes with the parsed object.\n *\n * @returns\n * A result object that contains the generated object, the finish reason, the token usage, and additional information.\n *\n * @deprecated Use `generateText` with an `output` setting instead.\n */\nexport async function generateObject<\n  SCHEMA extends FlexibleSchema<unknown> = FlexibleSchema<JSONValue>,\n  OUTPUT extends 'object' | 'array' | 'enum' | 'no-schema' =\n    InferSchema<SCHEMA> extends string ? 'enum' : 'object',\n  RESULT = OUTPUT extends 'array'\n    ? Array<InferSchema<SCHEMA>>\n    : InferSchema<SCHEMA>,\n>(\n  options: Omit<LanguageModelCallOptions, 'stopSequences'> &\n    Omit<RequestOptions, 'timeout'> &\n    Prompt &\n    (OUTPUT extends 'enum'\n      ? {\n          /**\n           * The enum values that the model should use.\n           */\n          enum: Array<RESULT>;\n          output: 'enum';\n        }\n      : OUTPUT extends 'no-schema'\n        ? {}\n        : {\n            /**\n             * The schema of the object that the model should generate.\n             */\n            schema: SCHEMA;\n\n            /**\n             * Optional name of the output that should be generated.\n             * Used by some providers for additional LLM guidance, e.g.\n             * via tool or schema name.\n             */\n            schemaName?: string;\n\n            /**\n             * Optional description of the output that should be generated.\n             * Used by some providers for additional LLM guidance, e.g.\n             * via tool or schema description.\n             */\n            schemaDescription?: string;\n          }) & {\n      output?: OUTPUT;\n\n      /**\n       * The language model to use.\n       */\n      model: LanguageModel;\n      /**\n       * A function that attempts to repair the raw output of the model\n       * to enable JSON parsing.\n       */\n      repairText?: RepairTextFunction;\n\n      /**\n       * A function that attempts to repair the raw output of the model\n       * to enable JSON parsing.\n       *\n       * @deprecated Use `repairText` instead.\n       */\n      experimental_repairText?: RepairTextFunction;\n\n      /**\n       * Optional telemetry configuration.\n       */\n      telemetry?: TelemetryOptions;\n\n      /**\n       * Optional telemetry configuration.\n       *\n       * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n       */\n      experimental_telemetry?: TelemetryOptions;\n\n      /**\n       * Custom download function to use for URLs.\n       *\n       * By default, files are downloaded if the model does not support the URL for the given media type.\n       */\n      experimental_download?: DownloadFunction | undefined;\n\n      /**\n       * Additional provider-specific options. They are passed through\n       * to the provider from the AI SDK and enable provider-specific\n       * functionality that can be fully encapsulated in the provider.\n       */\n      providerOptions?: ProviderOptions;\n\n      /**\n       * Callback that is called when the generateObject operation begins,\n       * before the LLM call is made.\n       */\n      onStart?: Callback<GenerateObjectStartEvent>;\n\n      /**\n       * Callback that is called when the generateObject operation begins,\n       * before the LLM call is made.\n       *\n       * @deprecated Use `onStart` instead.\n       */\n      experimental_onStart?: Callback<GenerateObjectStartEvent>;\n\n      /**\n       * Callback that is called when the model call (step) begins,\n       * before the provider is called.\n       */\n      onStepStart?: Callback<GenerateObjectStepStartEvent>;\n\n      /**\n       * Callback that is called when the model call (step) begins,\n       * before the provider is called.\n       *\n       * @deprecated Use `onStepStart` instead.\n       */\n      experimental_onStepStart?: Callback<GenerateObjectStepStartEvent>;\n\n      /**\n       * Callback that is called when the model call (step) completes,\n       * with the raw result before JSON parsing.\n       */\n      onStepEnd?: Callback<GenerateObjectStepEndEvent>;\n\n      /**\n       * Callback that is called when the model call (step) completes,\n       * with the raw result before JSON parsing.\n       *\n       * @deprecated Use `onStepEnd` instead.\n       */\n      onStepFinish?: Callback<GenerateObjectStepEndEvent>;\n\n      /**\n       * Callback that is called when the entire operation completes\n       * with the final parsed and validated object.\n       */\n      onFinish?: Callback<GenerateObjectEndEvent<RESULT>>;\n\n      /**\n       * Internal. For test use only. May change without notice.\n       */\n      _internal?: {\n        generateId?: () => string;\n        currentDate?: () => Date;\n      };\n    },\n): Promise<GenerateObjectResult<RESULT>> {\n  const {\n    model: modelArg,\n    output = 'object',\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    maxRetries: maxRetriesArg,\n    abortSignal,\n    headers,\n    experimental_repairText,\n    repairText = experimental_repairText,\n    experimental_telemetry,\n    telemetry = experimental_telemetry,\n    experimental_download: download,\n    providerOptions,\n    onStart,\n    experimental_onStart,\n    onStepStart,\n    experimental_onStepStart,\n    onStepEnd,\n    onStepFinish,\n    onFinish,\n    _internal: {\n      generateId = originalGenerateId,\n      currentDate = () => new Date(),\n    } = {},\n    ...settings\n  } = options;\n\n  const model = resolveLanguageModel(modelArg);\n\n  const enumValues = 'enum' in options ? options.enum : undefined;\n  const {\n    schema: inputSchema,\n    schemaDescription,\n    schemaName,\n  } = 'schema' in options ? options : {};\n\n  validateObjectGenerationInput({\n    output,\n    schema: inputSchema,\n    schemaName,\n    schemaDescription,\n    enumValues,\n  });\n\n  const { maxRetries, retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  const outputStrategy = getOutputStrategy({\n    output,\n    schema: inputSchema,\n    enumValues,\n  });\n\n  const callSettings = prepareLanguageModelCallOptions(settings);\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const telemetryDispatcher = createTelemetryDispatcher({\n    telemetry,\n  });\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnStepStart = onStepStart ?? experimental_onStepStart;\n  const resolvedOnStepEnd = onStepEnd ?? onStepFinish;\n\n  const jsonSchema = await outputStrategy.jsonSchema();\n  const callId = generateId();\n\n  await notify({\n    event: {\n      callId,\n      operationId: 'ai.generateObject' as const,\n      provider: model.provider,\n      modelId: model.modelId,\n      system: instructions ?? system,\n      prompt,\n      messages,\n      maxOutputTokens: callSettings.maxOutputTokens,\n      temperature: callSettings.temperature,\n      topP: callSettings.topP,\n      topK: callSettings.topK,\n      presencePenalty: callSettings.presencePenalty,\n      frequencyPenalty: callSettings.frequencyPenalty,\n      seed: callSettings.seed,\n      maxRetries,\n      headers: headersWithUserAgent,\n      providerOptions,\n      output: outputStrategy.type as 'object' | 'array' | 'enum' | 'no-schema',\n      schema: jsonSchema as Record<string, unknown> | undefined,\n      schemaName,\n      schemaDescription,\n    },\n    callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n  });\n\n  try {\n    const standardizedPrompt = await standardizePrompt({\n      instructions,\n      system,\n      prompt,\n      messages,\n      allowSystemInMessages,\n    } as Prompt);\n\n    const promptMessages = await convertToLanguageModelPrompt({\n      prompt: standardizedPrompt,\n      supportedUrls: await model.supportedUrls,\n      download,\n      provider: model.provider.split('.')[0],\n    });\n\n    await notify({\n      event: {\n        callId,\n        stepNumber: 0 as const,\n        provider: model.provider,\n        modelId: model.modelId,\n        providerOptions,\n        headers: headersWithUserAgent,\n        promptMessages,\n      },\n      callbacks: [resolvedOnStepStart, telemetryDispatcher.onObjectStepStart],\n    });\n\n    const generateResult = await retry(() =>\n      model.doGenerate({\n        responseFormat: {\n          type: 'json',\n          schema: jsonSchema,\n          name: schemaName,\n          description: schemaDescription,\n        },\n        ...prepareLanguageModelCallOptions(settings),\n        prompt: promptMessages,\n        providerOptions,\n        abortSignal,\n        headers: headersWithUserAgent,\n      }),\n    );\n\n    const responseData = {\n      id: generateResult.response?.id ?? generateId(),\n      timestamp: generateResult.response?.timestamp ?? currentDate(),\n      modelId: generateResult.response?.modelId ?? model.modelId,\n      headers: generateResult.response?.headers,\n      body: generateResult.response?.body,\n    };\n\n    const text = extractTextContent(generateResult.content);\n    const reasoning = extractReasoningContent(generateResult.content);\n\n    if (text === undefined) {\n      throw new NoObjectGeneratedError({\n        message: 'No object generated: the model did not return a response.',\n        response: responseData,\n        usage: asLanguageModelUsage(generateResult.usage),\n        finishReason: generateResult.finishReason.unified,\n      });\n    }\n\n    const finishReason = generateResult.finishReason.unified;\n    const usage = asLanguageModelUsage(generateResult.usage);\n    const warnings = generateResult.warnings;\n    const resultProviderMetadata = generateResult.providerMetadata;\n    const request: Omit<LanguageModelRequestMetadata, 'messages'> =\n      generateResult.request ?? {};\n    const response: Omit<LanguageModelResponseMetadata, 'messages'> =\n      responseData;\n\n    logWarnings({\n      warnings,\n      provider: model.provider,\n      model: model.modelId,\n    });\n\n    const stepFinishEvent: GenerateObjectStepEndEvent = {\n      callId,\n      stepNumber: 0 as const,\n      provider: model.provider,\n      modelId: model.modelId,\n      finishReason,\n      usage,\n      objectText: text,\n      msToFirstChunk: undefined,\n      reasoning,\n      warnings,\n      request,\n      response,\n      providerMetadata: resultProviderMetadata,\n    };\n\n    await notify({\n      event: stepFinishEvent,\n      callbacks: [resolvedOnStepEnd, telemetryDispatcher.onObjectStepEnd],\n    });\n\n    const object = await parseAndValidateObjectResultWithRepair(\n      text,\n      outputStrategy,\n      repairText,\n      {\n        response,\n        usage,\n        finishReason,\n      },\n    );\n\n    await notify({\n      event: {\n        callId,\n        object,\n        error: undefined,\n        reasoning,\n        finishReason,\n        usage,\n        warnings,\n        request,\n        response,\n        providerMetadata: resultProviderMetadata,\n      },\n      callbacks: [onFinish, telemetryDispatcher.onEnd],\n    });\n\n    return new DefaultGenerateObjectResult({\n      object,\n      reasoning,\n      finishReason,\n      usage,\n      warnings,\n      request,\n      response,\n      providerMetadata: resultProviderMetadata,\n    });\n  } catch (error) {\n    await telemetryDispatcher.onError?.({ callId, error });\n    throw wrapGatewayError(error);\n  }\n}\n\nclass DefaultGenerateObjectResult<T> implements GenerateObjectResult<T> {\n  readonly object: GenerateObjectResult<T>['object'];\n  readonly finishReason: GenerateObjectResult<T>['finishReason'];\n  readonly usage: GenerateObjectResult<T>['usage'];\n  readonly warnings: GenerateObjectResult<T>['warnings'];\n  readonly providerMetadata: GenerateObjectResult<T>['providerMetadata'];\n  readonly response: GenerateObjectResult<T>['response'];\n  readonly request: GenerateObjectResult<T>['request'];\n  readonly reasoning: GenerateObjectResult<T>['reasoning'];\n\n  constructor(options: {\n    object: GenerateObjectResult<T>['object'];\n    finishReason: GenerateObjectResult<T>['finishReason'];\n    usage: GenerateObjectResult<T>['usage'];\n    warnings: GenerateObjectResult<T>['warnings'];\n    providerMetadata: GenerateObjectResult<T>['providerMetadata'];\n    response: GenerateObjectResult<T>['response'];\n    request: GenerateObjectResult<T>['request'];\n    reasoning: GenerateObjectResult<T>['reasoning'];\n  }) {\n    this.object = options.object;\n    this.finishReason = options.finishReason;\n    this.usage = options.usage;\n    this.warnings = options.warnings;\n    this.providerMetadata = options.providerMetadata;\n    this.response = options.response;\n    this.request = options.request;\n    this.reasoning = options.reasoning;\n  }\n\n  toJsonResponse(init?: ResponseInit): Response {\n    return new Response(JSON.stringify(this.object), {\n      status: init?.status ?? 200,\n      headers: prepareHeaders(init?.headers, {\n        'content-type': 'application/json; charset=utf-8',\n      }),\n    });\n  }\n}\n", "import type {\n  LanguageModelV4Content,\n  LanguageModelV4Reasoning,\n} from '@ai-sdk/provider';\n\nexport function extractReasoningContent(\n  content: LanguageModelV4Content[],\n): string | undefined {\n  const parts = content.filter(\n    (content): content is LanguageModelV4Reasoning =>\n      content.type === 'reasoning',\n  );\n\n  return parts.length === 0\n    ? undefined\n    : parts.map(content => content.text).join('\\n');\n}\n", "import type {\n  LanguageModelV4Content,\n  LanguageModelV4Text,\n} from '@ai-sdk/provider';\n\nexport function extractTextContent(\n  content: LanguageModelV4Content[],\n): string | undefined {\n  const parts = content.filter(\n    (content): content is LanguageModelV4Text => content.type === 'text',\n  );\n\n  if (parts.length === 0) {\n    return undefined;\n  }\n\n  return parts.map(content => content.text).join('');\n}\n", "import {\n  isJSONArray,\n  isJSONObject,\n  TypeValidationError,\n  UnsupportedFunctionalityError,\n  type JSONObject,\n  type JSONSchema7,\n  type JSONValue,\n} from '@ai-sdk/provider';\nimport {\n  asSchema,\n  safeValidateTypes,\n  type FlexibleSchema,\n  type Schema,\n  type ValidationResult,\n} from '@ai-sdk/provider-utils';\nimport { NoObjectGeneratedError } from '../error/no-object-generated-error';\nimport type {\n  FinishReason,\n  LanguageModelResponseMetadata,\n  LanguageModelUsage,\n} from '../types';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport type { DeepPartial } from '../util/deep-partial';\nimport type { ObjectStreamPart } from './stream-object-result';\n\nexport interface OutputStrategy<PARTIAL, RESULT, ELEMENT_STREAM> {\n  readonly type: 'object' | 'array' | 'enum' | 'no-schema';\n\n  jsonSchema(): Promise<JSONSchema7 | undefined>;\n\n  validatePartialResult({\n    value,\n    textDelta,\n    isFinalDelta,\n  }: {\n    value: JSONValue;\n    textDelta: string;\n    isFirstDelta: boolean;\n    isFinalDelta: boolean;\n    latestObject: PARTIAL | undefined;\n  }): Promise<\n    ValidationResult<{\n      partial: PARTIAL;\n      textDelta: string;\n    }>\n  >;\n  validateFinalResult(\n    value: JSONValue | undefined,\n    context: {\n      text: string;\n      response: Omit<LanguageModelResponseMetadata, 'messages'>;\n      usage: LanguageModelUsage;\n    },\n  ): Promise<ValidationResult<RESULT>>;\n\n  createElementStream(\n    originalStream: ReadableStream<ObjectStreamPart<PARTIAL>>,\n  ): ELEMENT_STREAM;\n}\n\nconst noSchemaOutputStrategy: OutputStrategy<JSONValue, JSONValue, never> = {\n  type: 'no-schema',\n  jsonSchema: async () => undefined,\n\n  async validatePartialResult({ value, textDelta }) {\n    return { success: true, value: { partial: value, textDelta } };\n  },\n\n  async validateFinalResult(\n    value: JSONValue | undefined,\n    context: {\n      text: string;\n      response: LanguageModelResponseMetadata;\n      usage: LanguageModelUsage;\n      finishReason: FinishReason;\n    },\n  ): Promise<ValidationResult<JSONValue>> {\n    return value === undefined\n      ? {\n          success: false,\n          error: new NoObjectGeneratedError({\n            message: 'No object generated: response did not match schema.',\n            text: context.text,\n            response: context.response,\n            usage: context.usage,\n            finishReason: context.finishReason,\n          }),\n        }\n      : { success: true, value };\n  },\n\n  createElementStream() {\n    throw new UnsupportedFunctionalityError({\n      functionality: 'element streams in no-schema mode',\n    });\n  },\n};\n\nconst objectOutputStrategy = <OBJECT>(\n  schema: Schema<OBJECT>,\n): OutputStrategy<DeepPartial<OBJECT>, OBJECT, never> => ({\n  type: 'object',\n  jsonSchema: async () => await schema.jsonSchema,\n\n  async validatePartialResult({ value, textDelta }) {\n    return {\n      success: true,\n      value: {\n        // Note: currently no validation of partial results:\n        partial: value as DeepPartial<OBJECT>,\n        textDelta,\n      },\n    };\n  },\n\n  async validateFinalResult(\n    value: JSONValue | undefined,\n  ): Promise<ValidationResult<OBJECT>> {\n    return safeValidateTypes({ value, schema });\n  },\n\n  createElementStream() {\n    throw new UnsupportedFunctionalityError({\n      functionality: 'element streams in object mode',\n    });\n  },\n});\n\nconst arrayOutputStrategy = <ELEMENT>(\n  schema: Schema<ELEMENT>,\n): OutputStrategy<ELEMENT[], ELEMENT[], AsyncIterableStream<ELEMENT>> => {\n  return {\n    type: 'array',\n\n    // wrap in object that contains array of elements, since most LLMs will not\n    // be able to generate an array directly:\n    // possible future optimization: use arrays directly when model supports grammar-guided generation\n    jsonSchema: async () => {\n      // keep root-level definitions available to root-relative references:\n      const {\n        $schema: _$schema,\n        definitions,\n        $defs,\n        ...itemSchema\n      } = (await schema.jsonSchema) as JSONSchema7 & {\n        $defs?: JSONSchema7['definitions'];\n      };\n\n      return {\n        $schema: 'http://json-schema.org/draft-07/schema#',\n        ...(definitions != null && { definitions }),\n        ...($defs != null && { $defs }),\n        type: 'object',\n        properties: {\n          elements: { type: 'array', items: itemSchema },\n        },\n        required: ['elements'],\n        additionalProperties: false,\n      };\n    },\n\n    async validatePartialResult({\n      value,\n      latestObject,\n      isFirstDelta,\n      isFinalDelta,\n    }) {\n      // check that the value is an object that contains an array of elements:\n      if (!isJSONObject(value) || !isJSONArray(value.elements)) {\n        return {\n          success: false,\n          error: new TypeValidationError({\n            value,\n            cause: 'value must be an object that contains an array of elements',\n          }),\n        };\n      }\n\n      const inputArray = value.elements as Array<JSONObject>;\n      const resultArray: Array<ELEMENT> = [];\n\n      for (let i = 0; i < inputArray.length; i++) {\n        const element = inputArray[i];\n        const result = await safeValidateTypes({ value: element, schema });\n\n        // special treatment for last processed element:\n        // ignore parse or validation failures, since they indicate that the\n        // last element is incomplete and should not be included in the result,\n        // unless it is the final delta\n        if (i === inputArray.length - 1 && !isFinalDelta) {\n          continue;\n        }\n\n        if (!result.success) {\n          return result;\n        }\n\n        resultArray.push(result.value);\n      }\n\n      // calculate delta:\n      const publishedElementCount = latestObject?.length ?? 0;\n\n      let textDelta = '';\n\n      if (isFirstDelta) {\n        textDelta += '[';\n      }\n\n      if (publishedElementCount > 0) {\n        textDelta += ',';\n      }\n\n      textDelta += resultArray\n        .slice(publishedElementCount) // only new elements\n        .map(element => JSON.stringify(element))\n        .join(',');\n\n      if (isFinalDelta) {\n        textDelta += ']';\n      }\n\n      return {\n        success: true,\n        value: {\n          partial: resultArray,\n          textDelta,\n        },\n      };\n    },\n\n    async validateFinalResult(\n      value: JSONValue | undefined,\n    ): Promise<ValidationResult<Array<ELEMENT>>> {\n      // check that the value is an object that contains an array of elements:\n      if (!isJSONObject(value) || !isJSONArray(value.elements)) {\n        return {\n          success: false,\n          error: new TypeValidationError({\n            value,\n            cause: 'value must be an object that contains an array of elements',\n          }),\n        };\n      }\n\n      const inputArray = value.elements as Array<JSONObject>;\n      const resultArray: Array<ELEMENT> = [];\n\n      // check that each element in the array is of the correct type:\n      for (const element of inputArray) {\n        const result = await safeValidateTypes({ value: element, schema });\n        if (!result.success) {\n          return result;\n        }\n        resultArray.push(result.value);\n      }\n\n      return { success: true, value: resultArray };\n    },\n\n    createElementStream(\n      originalStream: ReadableStream<ObjectStreamPart<ELEMENT[]>>,\n    ) {\n      let publishedElements = 0;\n\n      return createAsyncIterableStream(\n        originalStream.pipeThrough(\n          new TransformStream<ObjectStreamPart<ELEMENT[]>, ELEMENT>({\n            transform(chunk, controller) {\n              switch (chunk.type) {\n                case 'object': {\n                  const array = chunk.object;\n\n                  // publish new elements one by one:\n                  for (\n                    ;\n                    publishedElements < array.length;\n                    publishedElements++\n                  ) {\n                    controller.enqueue(array[publishedElements]);\n                  }\n\n                  break;\n                }\n\n                case 'text-delta':\n                case 'finish':\n                case 'error': // suppress error (use onError instead)\n                  break;\n\n                default: {\n                  const _exhaustiveCheck: never = chunk;\n                  throw new Error(\n                    `Unsupported chunk type: ${_exhaustiveCheck}`,\n                  );\n                }\n              }\n            },\n          }),\n        ),\n      );\n    },\n  };\n};\n\nconst enumOutputStrategy = <ENUM extends string>(\n  enumValues: Array<ENUM>,\n): OutputStrategy<string, ENUM, never> => {\n  return {\n    type: 'enum',\n\n    // wrap in object that contains result, since most LLMs will not\n    // be able to generate an enum value directly:\n    // possible future optimization: use enums directly when model supports top-level enums\n    jsonSchema: async () => ({\n      $schema: 'http://json-schema.org/draft-07/schema#',\n      type: 'object',\n      properties: {\n        result: { type: 'string', enum: enumValues },\n      },\n      required: ['result'],\n      additionalProperties: false,\n    }),\n\n    async validateFinalResult(\n      value: JSONValue | undefined,\n    ): Promise<ValidationResult<ENUM>> {\n      // check that the value is an object that contains an array of elements:\n      if (!isJSONObject(value) || typeof value.result !== 'string') {\n        return {\n          success: false,\n          error: new TypeValidationError({\n            value,\n            cause:\n              'value must be an object that contains a string in the \"result\" property.',\n          }),\n        };\n      }\n\n      const result = value.result as string;\n\n      return enumValues.includes(result as ENUM)\n        ? { success: true, value: result as ENUM }\n        : {\n            success: false,\n            error: new TypeValidationError({\n              value,\n              cause: 'value must be a string in the enum',\n            }),\n          };\n    },\n\n    async validatePartialResult({ value, textDelta }) {\n      if (!isJSONObject(value) || typeof value.result !== 'string') {\n        return {\n          success: false,\n          error: new TypeValidationError({\n            value,\n            cause:\n              'value must be an object that contains a string in the \"result\" property.',\n          }),\n        };\n      }\n\n      const result = value.result as string;\n      const possibleEnumValues = enumValues.filter(enumValue =>\n        enumValue.startsWith(result),\n      );\n\n      if (value.result.length === 0 || possibleEnumValues.length === 0) {\n        return {\n          success: false,\n          error: new TypeValidationError({\n            value,\n            cause: 'value must be a string in the enum',\n          }),\n        };\n      }\n\n      return {\n        success: true,\n        value: {\n          partial:\n            possibleEnumValues.length > 1 ? result : possibleEnumValues[0],\n          textDelta,\n        },\n      };\n    },\n\n    createElementStream() {\n      // no streaming in enum mode\n      throw new UnsupportedFunctionalityError({\n        functionality: 'element streams in enum mode',\n      });\n    },\n  };\n};\n\nexport function getOutputStrategy<SCHEMA>({\n  output,\n  schema,\n  enumValues,\n}: {\n  output: 'object' | 'array' | 'enum' | 'no-schema';\n  schema?: FlexibleSchema<SCHEMA>;\n  enumValues?: Array<SCHEMA>;\n}): OutputStrategy<any, any, any> {\n  switch (output) {\n    case 'object':\n      return objectOutputStrategy(asSchema(schema!));\n    case 'array':\n      return arrayOutputStrategy(asSchema(schema!));\n    case 'enum':\n      return enumOutputStrategy(enumValues! as Array<string>);\n    case 'no-schema':\n      return noSchemaOutputStrategy;\n    default: {\n      const _exhaustiveCheck: never = output;\n      throw new Error(`Unsupported output: ${_exhaustiveCheck}`);\n    }\n  }\n}\n", "import { JSONParseError, TypeValidationError } from '@ai-sdk/provider';\nimport { safeParseJSON } from '@ai-sdk/provider-utils';\nimport { NoObjectGeneratedError } from '../error/no-object-generated-error';\nimport type {\n  FinishReason,\n  LanguageModelResponseMetadata,\n  LanguageModelUsage,\n} from '../types';\nimport type { OutputStrategy } from './output-strategy';\nimport type { RepairTextFunction } from './repair-text';\n\n/**\n * Parses and validates a result string by parsing it as JSON and validating against the output strategy.\n *\n * @param result - The result string to parse and validate\n * @param outputStrategy - The output strategy containing validation logic\n * @param context - Additional context for error reporting\n * @returns The validated result\n * @throws NoObjectGeneratedError if parsing or validation fails\n */\nasync function parseAndValidateObjectResult<RESULT>(\n  result: string,\n  outputStrategy: OutputStrategy<any, RESULT, any>,\n  context: {\n    response: Omit<LanguageModelResponseMetadata, 'messages'>;\n    usage: LanguageModelUsage;\n    finishReason: FinishReason;\n  },\n): Promise<RESULT> {\n  const parseResult = await safeParseJSON({ text: result });\n\n  if (!parseResult.success) {\n    throw new NoObjectGeneratedError({\n      message: 'No object generated: could not parse the response.',\n      cause: parseResult.error,\n      text: result,\n      response: context.response,\n      usage: context.usage,\n      finishReason: context.finishReason,\n    });\n  }\n\n  const validationResult = await outputStrategy.validateFinalResult(\n    parseResult.value,\n    {\n      text: result,\n      response: context.response,\n      usage: context.usage,\n    },\n  );\n\n  if (!validationResult.success) {\n    throw new NoObjectGeneratedError({\n      message: 'No object generated: response did not match schema.',\n      cause: validationResult.error,\n      text: result,\n      response: context.response,\n      usage: context.usage,\n      finishReason: context.finishReason,\n    });\n  }\n\n  return validationResult.value;\n}\n\n/**\n * Parses and validates a result string by parsing it as JSON and validating against the output strategy.\n * If the result cannot be parsed, it attempts to repair the result using the repairText function.\n *\n * @param result - The result string to parse and validate\n * @param outputStrategy - The output strategy containing validation logic\n * @param repairText - A function that attempts to repair the result string\n * @param context - Additional context for error reporting\n * @returns The validated result\n * @throws NoObjectGeneratedError if parsing or validation fails\n */\nexport async function parseAndValidateObjectResultWithRepair<RESULT>(\n  result: string,\n  outputStrategy: OutputStrategy<any, RESULT, any>,\n  repairText: RepairTextFunction | undefined,\n  context: {\n    response: Omit<LanguageModelResponseMetadata, 'messages'>;\n    usage: LanguageModelUsage;\n    finishReason: FinishReason;\n  },\n): Promise<RESULT> {\n  try {\n    return await parseAndValidateObjectResult(result, outputStrategy, context);\n  } catch (error) {\n    if (\n      repairText != null &&\n      NoObjectGeneratedError.isInstance(error) &&\n      (JSONParseError.isInstance(error.cause) ||\n        TypeValidationError.isInstance(error.cause))\n    ) {\n      const repairedText = await repairText({\n        text: result,\n        error: error.cause,\n      });\n      if (repairedText === null) {\n        throw error;\n      }\n      return await parseAndValidateObjectResult(\n        repairedText,\n        outputStrategy,\n        context,\n      );\n    }\n    throw error;\n  }\n}\n", "import type { FlexibleSchema } from '@ai-sdk/provider-utils';\nimport { InvalidArgumentError } from '../error/invalid-argument-error';\n\nexport function validateObjectGenerationInput({\n  output,\n  schema,\n  schemaName,\n  schemaDescription,\n  enumValues,\n}: {\n  output?: 'object' | 'array' | 'enum' | 'no-schema';\n  schema?: FlexibleSchema<unknown>;\n  schemaName?: string;\n  schemaDescription?: string;\n  enumValues?: Array<unknown>;\n}) {\n  if (\n    output != null &&\n    output !== 'object' &&\n    output !== 'array' &&\n    output !== 'enum' &&\n    output !== 'no-schema'\n  ) {\n    throw new InvalidArgumentError({\n      parameter: 'output',\n      value: output,\n      message: 'Invalid output type.',\n    });\n  }\n\n  if (output === 'no-schema') {\n    if (schema != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schema',\n        value: schema,\n        message: 'Schema is not supported for no-schema output.',\n      });\n    }\n\n    if (schemaDescription != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schemaDescription',\n        value: schemaDescription,\n        message: 'Schema description is not supported for no-schema output.',\n      });\n    }\n\n    if (schemaName != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schemaName',\n        value: schemaName,\n        message: 'Schema name is not supported for no-schema output.',\n      });\n    }\n\n    if (enumValues != null) {\n      throw new InvalidArgumentError({\n        parameter: 'enumValues',\n        value: enumValues,\n        message: 'Enum values are not supported for no-schema output.',\n      });\n    }\n  }\n\n  if (output === 'object') {\n    if (schema == null) {\n      throw new InvalidArgumentError({\n        parameter: 'schema',\n        value: schema,\n        message: 'Schema is required for object output.',\n      });\n    }\n\n    if (enumValues != null) {\n      throw new InvalidArgumentError({\n        parameter: 'enumValues',\n        value: enumValues,\n        message: 'Enum values are not supported for object output.',\n      });\n    }\n  }\n\n  if (output === 'array') {\n    if (schema == null) {\n      throw new InvalidArgumentError({\n        parameter: 'schema',\n        value: schema,\n        message: 'Element schema is required for array output.',\n      });\n    }\n\n    if (enumValues != null) {\n      throw new InvalidArgumentError({\n        parameter: 'enumValues',\n        value: enumValues,\n        message: 'Enum values are not supported for array output.',\n      });\n    }\n  }\n\n  if (output === 'enum') {\n    if (schema != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schema',\n        value: schema,\n        message: 'Schema is not supported for enum output.',\n      });\n    }\n\n    if (schemaDescription != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schemaDescription',\n        value: schemaDescription,\n        message: 'Schema description is not supported for enum output.',\n      });\n    }\n\n    if (schemaName != null) {\n      throw new InvalidArgumentError({\n        parameter: 'schemaName',\n        value: schemaName,\n        message: 'Schema name is not supported for enum output.',\n      });\n    }\n\n    if (enumValues == null) {\n      throw new InvalidArgumentError({\n        parameter: 'enumValues',\n        value: enumValues,\n        message: 'Enum values are required for enum output.',\n      });\n    }\n\n    for (const value of enumValues) {\n      if (typeof value !== 'string') {\n        throw new InvalidArgumentError({\n          parameter: 'enumValues',\n          value,\n          message: 'Enum values must be strings.',\n        });\n      }\n    }\n  }\n}\n", "import type {\n  JSONValue,\n  LanguageModelV4FinishReason,\n  LanguageModelV4StreamPart,\n  LanguageModelV4Usage,\n  SharedV4ProviderMetadata,\n  SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  createIdGenerator,\n  DelayedPromise,\n  type InferSchema,\n  type FlexibleSchema,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport type { ServerResponse } from 'http';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveLanguageModel } from '../model/resolve-model';\nimport type { LanguageModelCallOptions } from '../prompt/language-model-call-options';\nimport { prepareLanguageModelCallOptions } from '../prompt/prepare-language-model-call-options';\nimport type { RequestOptions } from '../prompt/request-options';\nimport { convertToLanguageModelPrompt } from '../prompt/convert-to-language-model-prompt';\nimport type { Prompt } from '../prompt/prompt';\nimport { standardizePrompt } from '../prompt/standardize-prompt';\nimport { wrapGatewayError } from '../prompt/wrap-gateway-error';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport { createTextStreamResponse } from '../text-stream/create-text-stream-response';\nimport { pipeTextStreamToResponse } from '../text-stream/pipe-text-stream-to-response';\nimport type {\n  CallWarning,\n  FinishReason,\n  LanguageModel,\n} from '../types/language-model';\nimport type { LanguageModelRequestMetadata } from '../types/language-model-request-metadata';\nimport type { LanguageModelResponseMetadata } from '../types/language-model-response-metadata';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport {\n  asLanguageModelUsage,\n  createNullLanguageModelUsage,\n  type LanguageModelUsage,\n} from '../types/usage';\nimport { isDeepEqualData, parsePartialJson, type DeepPartial } from '../util';\nimport {\n  createAsyncIterableStream,\n  type AsyncIterableStream,\n} from '../util/async-iterable-stream';\nimport type { Callback } from '../util/callback';\nimport { createStitchableStream } from '../util/create-stitchable-stream';\nimport type { DownloadFunction } from '../util/download/download-function';\nimport { notify } from '../util/notify';\nimport { now as originalNow } from '../util/now';\nimport { prepareRetries } from '../util/prepare-retries';\nimport type {\n  GenerateObjectEndEvent,\n  GenerateObjectStartEvent,\n  GenerateObjectStepEndEvent,\n  GenerateObjectStepStartEvent,\n} from './structured-output-events';\nimport { getOutputStrategy, type OutputStrategy } from './output-strategy';\nimport { parseAndValidateObjectResultWithRepair } from './parse-and-validate-object-result';\nimport type { RepairTextFunction } from './repair-text';\nimport type {\n  ObjectStreamPart,\n  StreamObjectResult,\n} from './stream-object-result';\nimport { validateObjectGenerationInput } from './validate-object-generation-input';\n\nconst originalGenerateId = createIdGenerator({ prefix: 'aiobj', size: 24 });\n\nasync function markPromiseAsHandled<T>(promise: Promise<T>): Promise<void> {\n  try {\n    await promise;\n  } catch {}\n}\n\n/**\n * Callback that is set using the `onError` option.\n *\n * @param event - The event that is passed to the callback.\n */\nexport type StreamObjectOnErrorCallback = (event: {\n  error: unknown;\n}) => Promise<void> | void;\n\n/**\n * Callback that is set using the `onFinish` option.\n *\n * @param event - The event that is passed to the callback.\n */\nexport type StreamObjectOnFinishCallback<RESULT> = (event: {\n  /**\n   * The token usage of the generated response.\n   */\n  usage: LanguageModelUsage;\n\n  /**\n   * The generated object. Can be undefined if the final object does not match the schema.\n   */\n  object: RESULT | undefined;\n\n  /**\n   * Optional error object. This is e.g. a TypeValidationError when the final object does not match the schema.\n   */\n  error: unknown | undefined;\n\n  /**\n   * Response metadata.\n   */\n  response: LanguageModelResponseMetadata;\n\n  /**\n   * Warnings from the model provider (e.g. unsupported settings).\n   */\n  warnings?: CallWarning[];\n\n  /**\n   * Additional provider-specific metadata. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerMetadata: ProviderMetadata | undefined;\n}) => Promise<void> | void;\n\n/**\n * Generate a structured, typed object for a given prompt and schema using a language model.\n *\n * This function streams the output. If you do not want to stream the output, use `generateObject` instead.\n *\n * @param model - The language model to use.\n *\n * @param system - A system message that will be part of the prompt.\n * @param prompt - A simple text prompt. You can either use `prompt` or `messages` but not both.\n * @param messages - A list of messages. You can either use `prompt` or `messages` but not both.\n * @param allowSystemInMessages - Whether system messages are allowed in the `prompt` or `messages` fields. Default: false.\n *\n * @param maxOutputTokens - Maximum number of tokens to generate.\n * @param temperature - Temperature setting.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topP - Nucleus sampling.\n * The value is passed through to the provider. The range depends on the provider and model.\n * It is recommended to set either `temperature` or `topP`, but not both.\n * @param topK - Only sample from the top K options for each subsequent token.\n * Used to remove \"long tail\" low probability responses.\n * Recommended for advanced use cases only. You usually only need to use temperature.\n * @param presencePenalty - Presence penalty setting.\n * It affects the likelihood of the model to repeat information that is already in the prompt.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param frequencyPenalty - Frequency penalty setting.\n * It affects the likelihood of the model to repeatedly use the same words or phrases.\n * The value is passed through to the provider. The range depends on the provider and model.\n * @param stopSequences - Stop sequences.\n * If set, the model will stop generating text when one of the stop sequences is generated.\n * @param seed - The seed (integer) to use for random sampling.\n * If set and supported by the model, calls will generate deterministic results.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @param schema - The schema of the object that the model should generate.\n * @param schemaName - Optional name of the output that should be generated.\n * Used by some providers for additional LLM guidance, e.g.\n * via tool or schema name.\n * @param schemaDescription - Optional description of the output that should be generated.\n * Used by some providers for additional LLM guidance, e.g.\n * via tool or schema description.\n *\n * @param output - The type of the output.\n *\n * - 'object': The output is an object.\n * - 'array': The output is an array.\n * - 'enum': The output is an enum.\n * - 'no-schema': The output is not a schema.\n *\n * @param repairText - A function that attempts to repair the raw output of the model\n * to enable JSON parsing.\n * @param experimental_repairText - Deprecated alias for `repairText`.\n *\n * @param telemetry - Optional telemetry configuration.\n *\n * @param providerOptions - Additional provider-specific options. They are passed through\n * to the provider from the AI SDK and enable provider-specific\n * functionality that can be fully encapsulated in the provider.\n *\n * @returns\n * A result object for accessing the partial object stream and additional information.\n *\n * @deprecated Use `streamText` with an `output` setting instead.\n */\nexport function streamObject<\n  SCHEMA extends FlexibleSchema<unknown> = FlexibleSchema<JSONValue>,\n  OUTPUT extends 'object' | 'array' | 'enum' | 'no-schema' =\n    InferSchema<SCHEMA> extends string ? 'enum' : 'object',\n  RESULT = OUTPUT extends 'array'\n    ? Array<InferSchema<SCHEMA>>\n    : InferSchema<SCHEMA>,\n>(\n  options: Omit<LanguageModelCallOptions, 'stopSequences'> &\n    Omit<RequestOptions, 'timeout'> &\n    Prompt &\n    (OUTPUT extends 'enum'\n      ? {\n          /**\n           * The enum values that the model should use.\n           */\n          enum: Array<RESULT>;\n          output: 'enum';\n        }\n      : OUTPUT extends 'no-schema'\n        ? {}\n        : {\n            /**\n             * The schema of the object that the model should generate.\n             */\n            schema: SCHEMA;\n\n            /**\n             * Optional name of the output that should be generated.\n             * Used by some providers for additional LLM guidance, e.g.\n             * via tool or schema name.\n             */\n            schemaName?: string;\n\n            /**\n             * Optional description of the output that should be generated.\n             * Used by some providers for additional LLM guidance, e.g.\n             * via tool or schema description.\n             */\n            schemaDescription?: string;\n          }) & {\n      output?: OUTPUT;\n\n      /**\n       * The language model to use.\n       */\n      model: LanguageModel;\n\n      /**\n       * A function that attempts to repair the raw output of the model\n       * to enable JSON parsing.\n       */\n      repairText?: RepairTextFunction;\n\n      /**\n       * A function that attempts to repair the raw output of the model\n       * to enable JSON parsing.\n       *\n       * @deprecated Use `repairText` instead.\n       */\n      experimental_repairText?: RepairTextFunction;\n\n      /**\n       * Optional telemetry configuration.\n       */\n      telemetry?: TelemetryOptions;\n\n      /**\n       * Optional telemetry configuration.\n       *\n       * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n       */\n      experimental_telemetry?: TelemetryOptions;\n\n      /**\n       * Custom download function to use for URLs.\n       *\n       * By default, files are downloaded if the model does not support the URL for the given media type.\n       */\n      experimental_download?: DownloadFunction | undefined;\n\n      /**\n       * Additional provider-specific options. They are passed through\n       * to the provider from the AI SDK and enable provider-specific\n       * functionality that can be fully encapsulated in the provider.\n       */\n      providerOptions?: ProviderOptions;\n\n      /**\n       * Callback that is called when the streamObject operation begins,\n       * before the LLM call is made.\n       */\n      onStart?: Callback<GenerateObjectStartEvent>;\n\n      /**\n       * Callback that is called when the streamObject operation begins,\n       * before the LLM call is made.\n       *\n       * @deprecated Use `onStart` instead.\n       */\n      experimental_onStart?: Callback<GenerateObjectStartEvent>;\n\n      /**\n       * Callback that is called when the model call (step) begins,\n       * before the provider is called.\n       */\n      onStepStart?: Callback<GenerateObjectStepStartEvent>;\n\n      /**\n       * Callback that is called when the model call (step) begins,\n       * before the provider is called.\n       *\n       * @deprecated Use `onStepStart` instead.\n       */\n      experimental_onStepStart?: Callback<GenerateObjectStepStartEvent>;\n\n      /**\n       * Callback that is called when the model streaming step completes,\n       * with the raw accumulated text before final schema validation.\n       */\n      onStepEnd?: Callback<GenerateObjectStepEndEvent>;\n\n      /**\n       * Callback that is called when the model streaming step completes,\n       * with the raw accumulated text before final schema validation.\n       *\n       * @deprecated Use `onStepEnd` instead.\n       */\n      onStepFinish?: Callback<GenerateObjectStepEndEvent>;\n\n      /**\n       * Callback that is invoked when an error occurs during streaming.\n       * You can use it to log errors.\n       * The stream processing will pause until the callback promise is resolved.\n       */\n      onError?: StreamObjectOnErrorCallback;\n\n      /**\n       * Callback that is called when the LLM response and the final object validation are finished.\n       */\n      onFinish?: Callback<GenerateObjectEndEvent<RESULT>>;\n\n      /**\n       * Internal. For test use only. May change without notice.\n       */\n      _internal?: {\n        generateId?: () => string;\n        currentDate?: () => Date;\n        now?: () => number;\n      };\n    },\n): StreamObjectResult<\n  OUTPUT extends 'enum'\n    ? string\n    : OUTPUT extends 'array'\n      ? RESULT\n      : DeepPartial<RESULT>,\n  OUTPUT extends 'array' ? RESULT : RESULT,\n  OUTPUT extends 'array'\n    ? RESULT extends Array<infer U>\n      ? AsyncIterableStream<U>\n      : never\n    : never\n> {\n  const {\n    model,\n    output = 'object',\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    maxRetries,\n    abortSignal,\n    headers,\n    experimental_repairText,\n    repairText = experimental_repairText,\n    experimental_telemetry,\n    telemetry = experimental_telemetry,\n    experimental_download: download,\n    providerOptions,\n    onStart,\n    experimental_onStart,\n    onStepStart,\n    experimental_onStepStart,\n    onStepEnd,\n    onStepFinish,\n    onError = ({ error }: { error: unknown }) => {\n      console.error(error);\n    },\n    onFinish,\n    _internal: {\n      generateId = originalGenerateId,\n      currentDate = () => new Date(),\n      now = originalNow,\n    } = {},\n    ...settings\n  } = options;\n\n  const enumValues =\n    'enum' in options && options.enum ? options.enum : undefined;\n\n  const {\n    schema: inputSchema,\n    schemaDescription,\n    schemaName,\n  } = 'schema' in options ? options : {};\n\n  validateObjectGenerationInput({\n    output,\n    schema: inputSchema,\n    schemaName,\n    schemaDescription,\n    enumValues,\n  });\n\n  const outputStrategy = getOutputStrategy({\n    output,\n    schema: inputSchema,\n    enumValues,\n  });\n\n  return new DefaultStreamObjectResult({\n    model,\n    telemetry,\n    headers,\n    settings,\n    maxRetries,\n    abortSignal,\n    outputStrategy,\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    schemaName,\n    schemaDescription,\n    providerOptions,\n    repairText,\n    onStart: onStart ?? experimental_onStart,\n    onStepStart: onStepStart ?? experimental_onStepStart,\n    onStepFinish: onStepEnd ?? onStepFinish,\n    onError,\n    onFinish,\n    download,\n    generateId,\n    currentDate,\n    now,\n  });\n}\n\nclass DefaultStreamObjectResult<\n  PARTIAL,\n  RESULT,\n  ELEMENT_STREAM,\n> implements StreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM> {\n  private readonly _object = new DelayedPromise<RESULT>();\n  private readonly _usage = new DelayedPromise<LanguageModelUsage>();\n  private readonly _providerMetadata = new DelayedPromise<\n    ProviderMetadata | undefined\n  >();\n  private readonly _warnings = new DelayedPromise<CallWarning[] | undefined>();\n  private readonly _request = new DelayedPromise<\n    Omit<LanguageModelRequestMetadata, 'messages'>\n  >();\n  private readonly _response = new DelayedPromise<\n    Omit<LanguageModelResponseMetadata, 'messages'>\n  >();\n  private readonly _finishReason = new DelayedPromise<FinishReason>();\n\n  private readonly baseStream: ReadableStream<ObjectStreamPart<PARTIAL>>;\n\n  private readonly outputStrategy: OutputStrategy<\n    PARTIAL,\n    RESULT,\n    ELEMENT_STREAM\n  >;\n\n  constructor({\n    model: modelArg,\n    headers,\n    telemetry,\n    settings,\n    maxRetries: maxRetriesArg,\n    abortSignal,\n    outputStrategy,\n    instructions,\n    system,\n    prompt,\n    messages,\n    allowSystemInMessages,\n    schemaName,\n    schemaDescription,\n    providerOptions,\n    repairText,\n    onStart,\n    onStepStart,\n    onStepFinish,\n    onError,\n    onFinish,\n    download,\n    generateId,\n    currentDate,\n    now,\n  }: {\n    model: LanguageModel;\n    telemetry: TelemetryOptions | undefined;\n    headers: Record<string, string | undefined> | undefined;\n    settings: LanguageModelCallOptions;\n    maxRetries: number | undefined;\n    abortSignal: AbortSignal | undefined;\n    outputStrategy: OutputStrategy<PARTIAL, RESULT, ELEMENT_STREAM>;\n    instructions: Prompt['instructions'];\n    system: Prompt['system'];\n    prompt: Prompt['prompt'];\n    messages: Prompt['messages'];\n    allowSystemInMessages: Prompt['allowSystemInMessages'];\n    schemaName: string | undefined;\n    schemaDescription: string | undefined;\n    providerOptions: ProviderOptions | undefined;\n    repairText: RepairTextFunction | undefined;\n    onStart: Callback<GenerateObjectStartEvent> | undefined;\n    onStepStart: Callback<GenerateObjectStepStartEvent> | undefined;\n    onStepFinish: Callback<GenerateObjectStepEndEvent> | undefined;\n    onError: StreamObjectOnErrorCallback;\n    onFinish: Callback<GenerateObjectEndEvent<RESULT>> | undefined;\n    download: DownloadFunction | undefined;\n    generateId: () => string;\n    currentDate: () => Date;\n    now: () => number;\n  }) {\n    const model = resolveLanguageModel(modelArg);\n\n    const { maxRetries, retry } = prepareRetries({\n      maxRetries: maxRetriesArg,\n      abortSignal,\n    });\n\n    const callSettings = prepareLanguageModelCallOptions(settings);\n\n    const telemetryDispatcher = createTelemetryDispatcher({\n      telemetry,\n    });\n\n    const self = this;\n\n    const stitchableStream =\n      createStitchableStream<ObjectStreamPart<PARTIAL>>();\n\n    const eventProcessor = new TransformStream<\n      ObjectStreamPart<PARTIAL>,\n      ObjectStreamPart<PARTIAL>\n    >({\n      transform(chunk, controller) {\n        controller.enqueue(chunk);\n\n        if (chunk.type === 'error') {\n          void notify({\n            event: { error: wrapGatewayError(chunk.error) },\n            callbacks: onError,\n          });\n        }\n      },\n    });\n\n    this.baseStream = stitchableStream.stream.pipeThrough(eventProcessor);\n\n    const callId = generateId();\n\n    (async () => {\n      const jsonSchema = await outputStrategy.jsonSchema();\n\n      await notify({\n        event: {\n          callId,\n          operationId: 'ai.streamObject' as const,\n          provider: model.provider,\n          modelId: model.modelId,\n          system: instructions ?? system,\n          prompt,\n          messages,\n          maxOutputTokens: callSettings.maxOutputTokens,\n          temperature: callSettings.temperature,\n          topP: callSettings.topP,\n          topK: callSettings.topK,\n          presencePenalty: callSettings.presencePenalty,\n          frequencyPenalty: callSettings.frequencyPenalty,\n          seed: callSettings.seed,\n          maxRetries,\n          headers,\n          providerOptions,\n          output: outputStrategy.type as\n            | 'object'\n            | 'array'\n            | 'enum'\n            | 'no-schema',\n          schema: jsonSchema as Record<string, unknown> | undefined,\n          schemaName,\n          schemaDescription,\n        },\n        callbacks: [onStart, telemetryDispatcher.onStart],\n      });\n\n      const standardizedPrompt = await standardizePrompt({\n        instructions,\n        system,\n        prompt,\n        messages,\n        allowSystemInMessages,\n      } as Prompt);\n\n      const callOptions = {\n        responseFormat: {\n          type: 'json' as const,\n          schema: jsonSchema,\n          name: schemaName,\n          description: schemaDescription,\n        },\n        ...prepareLanguageModelCallOptions(settings),\n        prompt: await convertToLanguageModelPrompt({\n          prompt: standardizedPrompt,\n          supportedUrls: await model.supportedUrls,\n          download,\n          provider: model.provider.split('.')[0],\n        }),\n        providerOptions,\n        abortSignal,\n        headers,\n        includeRawChunks: false,\n      };\n\n      await notify({\n        event: {\n          callId,\n          stepNumber: 0 as const,\n          provider: model.provider,\n          modelId: model.modelId,\n          providerOptions,\n          headers,\n          promptMessages: callOptions.prompt,\n        },\n        callbacks: [onStepStart, telemetryDispatcher.onObjectStepStart],\n      });\n\n      const transformer: Transformer<\n        LanguageModelV4StreamPart,\n        ObjectStreamInputPart\n      > = {\n        transform: (chunk, controller) => {\n          switch (chunk.type) {\n            case 'text-delta':\n              controller.enqueue(chunk.delta);\n              break;\n            case 'response-metadata':\n            case 'finish':\n            case 'error':\n            case 'stream-start':\n              controller.enqueue(chunk);\n              break;\n          }\n        },\n      };\n\n      const startTimestampMs = now();\n      const { stream, response, request } = await retry(() =>\n        model.doStream(callOptions),\n      );\n\n      self._request.resolve(request ?? {});\n\n      let warnings: SharedV4Warning[] | undefined;\n      let usage: LanguageModelUsage = createNullLanguageModelUsage();\n      let finishReason: FinishReason | undefined;\n      let providerMetadata: ProviderMetadata | undefined;\n      let object: RESULT | undefined;\n      let error: unknown | undefined;\n      let terminalError: { error: unknown } | undefined;\n      let msToFirstChunk: number | undefined = undefined;\n\n      let accumulatedText = '';\n      let textDelta = '';\n      let fullResponse: {\n        id: string;\n        timestamp: Date;\n        modelId: string;\n      } = {\n        id: generateId(),\n        timestamp: currentDate(),\n        modelId: model.modelId,\n      };\n\n      let latestObjectJson: JSONValue | undefined = undefined;\n      let latestObject: PARTIAL | undefined = undefined;\n      let isFirstChunk = true;\n      let isFirstDelta = true;\n\n      const transformedStream = stream\n        .pipeThrough(new TransformStream(transformer))\n        .pipeThrough(\n          new TransformStream<\n            string | ObjectStreamInputPart,\n            ObjectStreamPart<PARTIAL>\n          >({\n            async transform(chunk, controller): Promise<void> {\n              if (typeof chunk === 'object' && chunk.type === 'stream-start') {\n                warnings = chunk.warnings;\n                return;\n              }\n\n              if (isFirstChunk) {\n                msToFirstChunk = now() - startTimestampMs;\n                isFirstChunk = false;\n              }\n\n              if (typeof chunk === 'string') {\n                accumulatedText += chunk;\n                textDelta += chunk;\n\n                const { value: currentObjectJson, state: parseState } =\n                  await parsePartialJson(accumulatedText);\n\n                if (\n                  currentObjectJson !== undefined &&\n                  !isDeepEqualData(latestObjectJson, currentObjectJson)\n                ) {\n                  const validationResult =\n                    await outputStrategy.validatePartialResult({\n                      value: currentObjectJson,\n                      textDelta,\n                      latestObject,\n                      isFirstDelta,\n                      isFinalDelta: parseState === 'successful-parse',\n                    });\n\n                  if (\n                    validationResult.success &&\n                    !isDeepEqualData(\n                      latestObject,\n                      validationResult.value.partial,\n                    )\n                  ) {\n                    latestObjectJson = currentObjectJson;\n                    latestObject = validationResult.value.partial;\n\n                    controller.enqueue({\n                      type: 'object',\n                      object: latestObject,\n                    });\n\n                    controller.enqueue({\n                      type: 'text-delta',\n                      textDelta: validationResult.value.textDelta,\n                    });\n\n                    textDelta = '';\n                    isFirstDelta = false;\n                  }\n                }\n\n                return;\n              }\n\n              switch (chunk.type) {\n                case 'response-metadata': {\n                  fullResponse = {\n                    id: chunk.id ?? fullResponse.id,\n                    timestamp: chunk.timestamp ?? fullResponse.timestamp,\n                    modelId: chunk.modelId ?? fullResponse.modelId,\n                  };\n                  break;\n                }\n\n                case 'error': {\n                  if (terminalError === undefined) {\n                    const wrappedError = wrapGatewayError(chunk.error);\n                    terminalError = { error: wrappedError };\n                    error = wrappedError;\n                    finishReason = 'error';\n                    self.rejectResultPromises(wrappedError);\n                  }\n\n                  controller.enqueue(chunk);\n                  break;\n                }\n\n                case 'finish': {\n                  if (textDelta !== '') {\n                    controller.enqueue({ type: 'text-delta', textDelta });\n                  }\n\n                  finishReason =\n                    terminalError === undefined\n                      ? chunk.finishReason.unified\n                      : 'error';\n\n                  usage = asLanguageModelUsage(chunk.usage);\n                  providerMetadata = chunk.providerMetadata;\n\n                  controller.enqueue({\n                    ...chunk,\n                    finishReason,\n                    usage,\n                    response: fullResponse,\n                  });\n\n                  logWarnings({\n                    warnings: warnings ?? [],\n                    provider: model.provider,\n                    model: model.modelId,\n                  });\n\n                  if (terminalError !== undefined) {\n                    break;\n                  }\n\n                  self._usage.resolve(usage);\n                  self._providerMetadata.resolve(providerMetadata);\n                  self._warnings.resolve(warnings);\n                  self._response.resolve({\n                    ...fullResponse,\n                    headers: response?.headers,\n                  });\n                  self._finishReason.resolve(finishReason ?? 'other');\n\n                  try {\n                    object = await parseAndValidateObjectResultWithRepair(\n                      accumulatedText,\n                      outputStrategy,\n                      repairText,\n                      {\n                        response: fullResponse,\n                        usage,\n                        finishReason,\n                      },\n                    );\n                    self._object.resolve(object);\n                  } catch (e) {\n                    error = e;\n                    self._object.reject(e);\n                  }\n                  break;\n                }\n\n                default: {\n                  controller.enqueue(chunk);\n                  break;\n                }\n              }\n            },\n\n            async flush(controller) {\n              try {\n                const finalUsage = usage ?? {\n                  promptTokens: NaN,\n                  completionTokens: NaN,\n                  totalTokens: NaN,\n                };\n\n                await notify({\n                  event: {\n                    callId,\n                    stepNumber: 0 as const,\n                    provider: model.provider,\n                    modelId: model.modelId,\n                    finishReason: finishReason ?? 'other',\n                    usage: finalUsage,\n                    objectText: accumulatedText,\n                    msToFirstChunk,\n                    reasoning: undefined,\n                    warnings,\n                    request: request ?? {},\n                    response: {\n                      ...fullResponse,\n                      headers: response?.headers,\n                    },\n                    providerMetadata,\n                  },\n                  callbacks: [\n                    onStepFinish,\n                    telemetryDispatcher.onObjectStepEnd,\n                  ],\n                });\n\n                await notify({\n                  event: {\n                    callId,\n                    object,\n                    error,\n                    reasoning: undefined,\n                    finishReason: finishReason ?? 'other',\n                    usage: finalUsage,\n                    warnings,\n                    request: request ?? {},\n                    response: {\n                      ...fullResponse,\n                      headers: response?.headers,\n                    },\n                    providerMetadata,\n                  },\n                  callbacks: [onFinish, telemetryDispatcher.onEnd],\n                });\n              } catch (error) {\n                controller.enqueue({ type: 'error', error });\n              }\n            },\n          }),\n        );\n\n      stitchableStream.addStream(transformedStream, {\n        onError(error) {\n          const wrappedError = wrapGatewayError(error);\n          self.rejectResultPromises(wrappedError);\n          void notify({\n            event: { error: wrappedError },\n            callbacks: onError,\n          });\n        },\n      });\n    })()\n      .catch(async error => {\n        self.rejectResultPromises(error);\n        await telemetryDispatcher.onError?.({ callId, error });\n\n        stitchableStream.addStream(\n          new ReadableStream({\n            start(controller) {\n              controller.enqueue({ type: 'error', error });\n              controller.close();\n            },\n          }),\n        );\n      })\n      .finally(() => {\n        stitchableStream.close();\n      });\n\n    this.outputStrategy = outputStrategy;\n  }\n\n  private rejectResultPromises(error: unknown) {\n    this.rejectResultPromise({ delayedPromise: this._object, error });\n    this.rejectResultPromise({ delayedPromise: this._usage, error });\n    this.rejectResultPromise({ delayedPromise: this._providerMetadata, error });\n    this.rejectResultPromise({ delayedPromise: this._warnings, error });\n    this.rejectResultPromise({ delayedPromise: this._request, error });\n    this.rejectResultPromise({ delayedPromise: this._response, error });\n    this.rejectResultPromise({ delayedPromise: this._finishReason, error });\n  }\n\n  private rejectResultPromise<T>({\n    delayedPromise,\n    error,\n  }: {\n    delayedPromise: DelayedPromise<T>;\n    error: unknown;\n  }) {\n    if (delayedPromise.isPending()) {\n      delayedPromise.reject(error);\n      markPromiseAsHandled(delayedPromise.promise);\n    }\n  }\n\n  get object() {\n    return this._object.promise;\n  }\n\n  get usage() {\n    return this._usage.promise;\n  }\n\n  get providerMetadata() {\n    return this._providerMetadata.promise;\n  }\n\n  get warnings() {\n    return this._warnings.promise;\n  }\n\n  get request() {\n    return this._request.promise;\n  }\n\n  get response() {\n    return this._response.promise;\n  }\n\n  get finishReason() {\n    return this._finishReason.promise;\n  }\n\n  get partialObjectStream(): AsyncIterableStream<PARTIAL> {\n    return createAsyncIterableStream(\n      this.baseStream.pipeThrough(\n        new TransformStream<ObjectStreamPart<PARTIAL>, PARTIAL>({\n          transform(chunk, controller) {\n            switch (chunk.type) {\n              case 'object':\n                controller.enqueue(chunk.object);\n                break;\n\n              case 'text-delta':\n              case 'finish':\n              case 'error': // suppress error (use onError instead)\n                break;\n\n              default: {\n                const _exhaustiveCheck: never = chunk;\n                throw new Error(`Unsupported chunk type: ${_exhaustiveCheck}`);\n              }\n            }\n          },\n        }),\n      ),\n    );\n  }\n\n  get elementStream(): ELEMENT_STREAM {\n    return this.outputStrategy.createElementStream(this.baseStream);\n  }\n\n  get textStream(): AsyncIterableStream<string> {\n    return createAsyncIterableStream(\n      this.baseStream.pipeThrough(\n        new TransformStream<ObjectStreamPart<PARTIAL>, string>({\n          transform(chunk, controller) {\n            switch (chunk.type) {\n              case 'text-delta':\n                controller.enqueue(chunk.textDelta);\n                break;\n\n              case 'object':\n              case 'finish':\n              case 'error': // suppress error (use onError instead)\n                break;\n\n              default: {\n                const _exhaustiveCheck: never = chunk;\n                throw new Error(`Unsupported chunk type: ${_exhaustiveCheck}`);\n              }\n            }\n          },\n        }),\n      ),\n    );\n  }\n\n  get fullStream(): AsyncIterableStream<ObjectStreamPart<PARTIAL>> {\n    return createAsyncIterableStream(this.baseStream);\n  }\n\n  pipeTextStreamToResponse(response: ServerResponse, init?: ResponseInit) {\n    return pipeTextStreamToResponse({\n      response,\n      stream: this.textStream,\n      ...init,\n    });\n  }\n\n  toTextStreamResponse(init?: ResponseInit): Response {\n    return createTextStreamResponse({\n      stream: this.textStream,\n      ...init,\n    });\n  }\n}\n\nexport type ObjectStreamInputPart =\n  | string\n  | {\n      type: 'stream-start';\n      warnings: SharedV4Warning[];\n    }\n  | {\n      type: 'error';\n      error: unknown;\n    }\n  | {\n      type: 'response-metadata';\n      id?: string;\n      timestamp?: Date;\n      modelId?: string;\n    }\n  | {\n      type: 'finish';\n      finishReason: LanguageModelV4FinishReason;\n      usage: LanguageModelV4Usage;\n      providerMetadata?: SharedV4ProviderMetadata;\n    };\n", "import { InvalidArgumentError } from '../error/invalid-argument-error';\n\n/**\n * Calculates the cosine similarity between two vectors. This is a useful metric for\n * comparing the similarity of two vectors such as embeddings.\n *\n * @param vector1 - The first vector.\n * @param vector2 - The second vector.\n *\n * @returns The cosine similarity between vector1 and vector2, or 0 if either vector is the zero vector.\n *\n * @throws {InvalidArgumentError} If the vectors do not have the same length.\n */\nexport function cosineSimilarity(vector1: number[], vector2: number[]): number {\n  if (vector1.length !== vector2.length) {\n    throw new InvalidArgumentError({\n      parameter: 'vector1,vector2',\n      value: { vector1Length: vector1.length, vector2Length: vector2.length },\n      message: `Vectors must have the same length`,\n    });\n  }\n\n  const n = vector1.length;\n\n  if (n === 0) {\n    return 0; // Return 0 for empty vectors if no error is thrown\n  }\n\n  let magnitudeSquared1 = 0;\n  let magnitudeSquared2 = 0;\n  let dotProduct = 0;\n\n  for (let i = 0; i < n; i++) {\n    const value1 = vector1[i];\n    const value2 = vector2[i];\n\n    magnitudeSquared1 += value1 * value1;\n    magnitudeSquared2 += value2 * value2;\n    dotProduct += value1 * value2;\n  }\n\n  return magnitudeSquared1 === 0 || magnitudeSquared2 === 0\n    ? 0\n    : dotProduct /\n        (Math.sqrt(magnitudeSquared1) * Math.sqrt(magnitudeSquared2));\n}\n", "import { download as internalDownload } from './download';\n\n/**\n * Creates a download function with configurable options.\n *\n * @param options - Configuration options for the download function.\n * @param options.maxBytes - Maximum allowed download size in bytes. Default: 2 GiB.\n * @returns A download function that can be passed to `transcribe()` or `experimental_generateVideo()`.\n */\nexport function createDownload(options?: { maxBytes?: number }) {\n  return ({ url, abortSignal }: { url: URL; abortSignal?: AbortSignal }) =>\n    internalDownload({ url, maxBytes: options?.maxBytes, abortSignal });\n}\n", "/**\n * Converts a data URL of type text/* to a text string.\n */\nexport function getTextFromDataUrl(dataUrl: string): string {\n  const [header, base64Content] = dataUrl.split(',');\n  const mediaType = header.split(';')[0].split(':')[1];\n\n  if (mediaType == null || base64Content == null) {\n    throw new Error('Invalid data URL format');\n  }\n\n  try {\n    return window.atob(base64Content);\n  } catch {\n    throw new Error(`Error decoding data URL`);\n  }\n}\n", "/**\n * Performs a deep-equal comparison of two parsed JSON objects.\n *\n * @param {any} obj1 - The first object to compare.\n * @param {any} obj2 - The second object to compare.\n * @returns {boolean} - Returns true if the two objects are deeply equal, false otherwise.\n */\nexport function isDeepEqualData(obj1: any, obj2: any): boolean {\n  // Check for strict equality first\n  if (obj1 === obj2) return true;\n\n  // Check if either is null or undefined\n  if (obj1 == null || obj2 == null) return false;\n\n  // Check if both are objects\n  if (typeof obj1 !== 'object' && typeof obj2 !== 'object')\n    return obj1 === obj2;\n\n  // If they are not strictly equal, they both need to be Objects\n  if (obj1.constructor !== obj2.constructor) return false;\n\n  // Special handling for Date objects\n  if (obj1 instanceof Date && obj2 instanceof Date) {\n    return obj1.getTime() === obj2.getTime();\n  }\n\n  // Handle arrays: compare length and then perform a recursive deep comparison on each item\n  if (Array.isArray(obj1)) {\n    if (obj1.length !== obj2.length) return false;\n    for (let i = 0; i < obj1.length; i++) {\n      if (!isDeepEqualData(obj1[i], obj2[i])) return false;\n    }\n    return true; // All array elements matched\n  }\n\n  // Compare the set of keys in each object\n  const keys1 = Object.keys(obj1);\n  const keys2 = Object.keys(obj2);\n  if (keys1.length !== keys2.length) return false;\n\n  // Check each key-value pair recursively\n  for (const key of keys1) {\n    if (!keys2.includes(key)) return false;\n    if (!isDeepEqualData(obj1[key], obj2[key])) return false;\n  }\n\n  return true; // All keys and values matched\n}\n", "import type { Job } from './job';\n\nexport class SerialJobExecutor {\n  private queue: Array<Job> = [];\n  private isProcessing = false;\n\n  private async processQueue() {\n    if (this.isProcessing) {\n      return;\n    }\n\n    this.isProcessing = true;\n\n    while (this.queue.length > 0) {\n      await this.queue[0]();\n      this.queue.shift();\n    }\n\n    this.isProcessing = false;\n  }\n\n  async run(job: Job): Promise<void> {\n    return new Promise<void>((resolve, reject) => {\n      this.queue.push(async () => {\n        try {\n          await job();\n          resolve();\n        } catch (error) {\n          reject(error);\n        }\n      });\n\n      void this.processQueue();\n    });\n  }\n}\n", "import { delay as delayFunction } from '@ai-sdk/provider-utils';\n\n/**\n * Creates a ReadableStream that emits the provided values with an optional delay between each value.\n *\n * @param options - The configuration options\n * @param options.chunks - Array of values to be emitted by the stream\n * @param options.initialDelayInMs - Optional initial delay in milliseconds before emitting the first value (default: 0). Can be set to `null` to skip the initial delay. The difference between `initialDelayInMs: null` and `initialDelayInMs: 0` is that `initialDelayInMs: null` will emit the values without any delay, while `initialDelayInMs: 0` will emit the values with a delay of 0 milliseconds.\n * @param options.chunkDelayInMs - Optional delay in milliseconds between emitting each value (default: 0). Can be set to `null` to skip the delay. The difference between `chunkDelayInMs: null` and `chunkDelayInMs: 0` is that `chunkDelayInMs: null` will emit the values without any delay, while `chunkDelayInMs: 0` will emit the values with a delay of 0 milliseconds.\n * @returns A ReadableStream that emits the provided values\n */\nexport function simulateReadableStream<T>({\n  chunks,\n  initialDelayInMs = 0,\n  chunkDelayInMs = 0,\n  _internal,\n}: {\n  chunks: T[];\n  initialDelayInMs?: number | null;\n  chunkDelayInMs?: number | null;\n  _internal?: {\n    delay?: (ms: number | null) => Promise<void>;\n  };\n}): ReadableStream<T> {\n  const delay = _internal?.delay ?? delayFunction;\n\n  let index = 0;\n\n  return new ReadableStream({\n    async pull(controller) {\n      if (index < chunks.length) {\n        await delay(index === 0 ? initialDelayInMs : chunkDelayInMs);\n        controller.enqueue(chunks[index++]);\n      } else {\n        controller.close();\n      }\n    },\n  });\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport {\n  detectMediaType,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoSpeechGeneratedError } from '../error/no-speech-generated-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveSpeechModel } from '../model/resolve-model';\nimport type { SpeechModel } from '../types/speech-model';\nimport type { SpeechModelResponseMetadata } from '../types/speech-model-response-metadata';\nimport type { Warning } from '../types/warning';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type { SpeechResult } from './generate-speech-result';\nimport {\n  DefaultGeneratedAudioFile,\n  type GeneratedAudioFile,\n} from './generated-audio-file';\n/**\n * Generates speech audio using a speech model.\n *\n * @param model - The speech model to use.\n * @param text - The text to convert to speech.\n * @param voice - The voice to use for speech generation.\n * @param outputFormat - The output format to use for speech generation e.g. \"mp3\", \"wav\", etc.\n * @param instructions - Instructions for the speech generation e.g. \"Speak in a slow and steady tone\".\n * @param speed - The speed of the speech generation.\n * @param language - The language for speech generation (ISO 639-1 code e.g. \"en\", \"es\", \"fr\") or \"auto\" for automatic detection.\n * @param providerOptions - Additional provider-specific options that are passed through to the provider\n * as body parameters.\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @returns A result object that contains the generated audio data.\n */\nexport async function generateSpeech({\n  model,\n  text,\n  voice,\n  outputFormat,\n  instructions,\n  speed,\n  language,\n  providerOptions = {},\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n}: {\n  /**\n   * The speech model to use.\n   */\n  model: SpeechModel;\n\n  /**\n   * The text to convert to speech.\n   */\n  text: string;\n\n  /**\n   * The voice to use for speech generation.\n   */\n  voice?: string;\n\n  /**\n   * The desired output format for the audio e.g. \"mp3\", \"wav\", etc.\n   */\n  outputFormat?: 'mp3' | 'wav' | (string & {});\n\n  /**\n   * Instructions for the speech generation e.g. \"Speak in a slow and steady tone\".\n   */\n  instructions?: string;\n\n  /**\n   * The speed of the speech generation.\n   */\n  speed?: number;\n\n  /**\n   * The language for speech generation. This should be an ISO 639-1 language code (e.g. \"en\", \"es\", \"fr\")\n   * or \"auto\" for automatic language detection. Provider support varies.\n   */\n  language?: string;\n\n  /**\n   * Additional provider-specific options that are passed through to the provider\n   * as body parameters.\n   *\n   * The outer record is keyed by the provider name, and the inner\n   * record is keyed by the provider-specific metadata key.\n   * ```ts\n   * {\n   * \"openai\": {}\n   * }\n   * ```\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Maximum number of retries per speech model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n}): Promise<SpeechResult> {\n  const resolvedModel = resolveSpeechModel(model);\n  if (!resolvedModel) {\n    throw new Error('Model could not be resolved');\n  }\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  const result = await retry(() =>\n    resolvedModel.doGenerate({\n      text,\n      voice,\n      outputFormat,\n      instructions,\n      speed,\n      language,\n      abortSignal,\n      headers: headersWithUserAgent,\n      providerOptions,\n    }),\n  );\n\n  if (!result.audio || result.audio.length === 0) {\n    throw new NoSpeechGeneratedError({ responses: [result.response] });\n  }\n\n  logWarnings({\n    warnings: result.warnings,\n    provider: resolvedModel.provider,\n    model: resolvedModel.modelId,\n  });\n\n  return new DefaultSpeechResult({\n    audio: new DefaultGeneratedAudioFile({\n      data: result.audio,\n      mediaType:\n        detectMediaType({\n          data: result.audio,\n          topLevelType: 'audio',\n        }) ?? 'audio/mp3',\n    }),\n    warnings: result.warnings,\n    responses: [result.response],\n    providerMetadata: result.providerMetadata,\n  });\n}\n\nclass DefaultSpeechResult implements SpeechResult {\n  readonly audio: GeneratedAudioFile;\n  readonly warnings: Array<Warning>;\n  readonly responses: Array<SpeechModelResponseMetadata>;\n  readonly providerMetadata: Record<string, JSONObject>;\n\n  constructor(options: {\n    audio: GeneratedAudioFile;\n    warnings: Array<Warning>;\n    responses: Array<SpeechModelResponseMetadata>;\n    providerMetadata: Record<string, JSONObject> | undefined;\n  }) {\n    this.audio = options.audio;\n    this.warnings = options.warnings;\n    this.responses = options.responses;\n    this.providerMetadata = options.providerMetadata ?? {};\n  }\n}\n", "import {\n  DefaultGeneratedFile,\n  type GeneratedFile,\n} from '../generate-text/generated-file';\n/**\n * A generated audio file.\n */\nexport interface GeneratedAudioFile extends GeneratedFile {\n  /**\n   * Audio format of the file (e.g., 'mp3', 'wav', etc.)\n   */\n  readonly format: string;\n}\n\nexport class DefaultGeneratedAudioFile\n  extends DefaultGeneratedFile\n  implements GeneratedAudioFile\n{\n  readonly format: string;\n\n  constructor({\n    data,\n    mediaType,\n  }: {\n    data: string | Uint8Array;\n    mediaType: string;\n  }) {\n    super({ data, mediaType });\n    let format = 'mp3';\n\n    // If format is not provided, try to determine it from the media type\n    if (mediaType) {\n      const mediaTypeParts = mediaType.split('/');\n\n      if (mediaTypeParts.length === 2) {\n        // Handle special cases for audio formats\n        if (mediaType !== 'audio/mpeg') {\n          format = mediaTypeParts[1];\n        }\n      }\n    }\n\n    if (!format) {\n      // TODO this should be an AI SDK error\n      throw new Error(\n        'Audio format must be provided or determinable from media type',\n      );\n    }\n\n    this.format = format;\n  }\n}\n\nexport class DefaultGeneratedAudioFileWithType extends DefaultGeneratedAudioFile {\n  readonly type = 'audio';\n\n  constructor(options: {\n    data: string | Uint8Array;\n    mediaType: string;\n    format: string;\n  }) {\n    super(options);\n  }\n}\n", "import type { SpeechResult } from './generate-speech-result';\nimport { generateSpeech } from './generate-speech';\n\nexport { generateSpeech } from './generate-speech';\nexport type { SpeechResult } from './generate-speech-result';\nexport type { GeneratedAudioFile } from './generated-audio-file';\n\n// deprecated exports\n\n/**\n * @deprecated Use `generateSpeech` instead.\n */\nconst experimental_generateSpeech = generateSpeech;\nexport { experimental_generateSpeech };\n\n/**\n * @deprecated Use `SpeechResult` instead.\n */\ntype Experimental_SpeechResult = SpeechResult;\nexport type { Experimental_SpeechResult };\n", "import type {\n  AssistantModelMessage,\n  ModelMessage,\n  ToolModelMessage,\n} from '@ai-sdk/provider-utils';\n\n/**\n * Prunes model messages from a list of model messages.\n *\n * @param messages - The list of model messages to prune.\n * @param reasoning - How to remove reasoning content from assistant messages. Default is `'none'`.\n * @param toolCalls - How to prune tool call/results/approval content. Default is `[]`.\n * @param emptyMessages - Whether to keep or remove messages whose content is empty after pruning. Default is `'remove'`.\n *\n * @returns The pruned list of model messages.\n */\nexport function pruneMessages({\n  messages,\n  reasoning = 'none',\n  toolCalls = [],\n  emptyMessages = 'remove',\n}: {\n  messages: ModelMessage[];\n  reasoning?: 'all' | 'before-last-message' | 'none';\n  toolCalls?:\n    | 'all'\n    | 'before-last-message'\n    | `before-last-${number}-messages`\n    | 'none'\n    | Array<{\n        type: 'all' | 'before-last-message' | `before-last-${number}-messages`;\n        tools?: string[];\n      }>;\n  emptyMessages?: 'keep' | 'remove';\n}): ModelMessage[] {\n  // filter reasoning parts:\n  if (reasoning === 'all' || reasoning === 'before-last-message') {\n    messages = messages.map((message, messageIndex) => {\n      if (\n        message.role !== 'assistant' ||\n        typeof message.content === 'string' ||\n        (reasoning === 'before-last-message' &&\n          messageIndex === messages.length - 1)\n      ) {\n        return message;\n      }\n\n      return {\n        ...message,\n        content: message.content.filter(part => part.type !== 'reasoning'),\n      };\n    });\n  }\n\n  // filter tool calls, results, errors, and approvals:\n  if (toolCalls === 'none') {\n    toolCalls = [];\n  } else if (toolCalls === 'all') {\n    toolCalls = [{ type: 'all' }];\n  } else if (toolCalls === 'before-last-message') {\n    toolCalls = [{ type: 'before-last-message' }];\n  } else if (typeof toolCalls === 'string') {\n    toolCalls = [{ type: toolCalls }];\n  }\n\n  for (const toolCall of toolCalls) {\n    // determine how many trailing messages to keep:\n    const keepLastMessagesCount =\n      toolCall.type === 'all'\n        ? undefined\n        : toolCall.type === 'before-last-message'\n          ? 1\n          : Number(\n              toolCall.type\n                .slice('before-last-'.length)\n                .slice(0, -'-messages'.length),\n            );\n\n    // scan kept messages to identify tool calls and approvals that need to be kept:\n    const keptToolCallIds: Set<string> = new Set();\n    const keptApprovalIds: Set<string> = new Set();\n\n    if (keepLastMessagesCount != null) {\n      for (const message of messages.slice(-keepLastMessagesCount)) {\n        if (\n          (message.role === 'assistant' || message.role === 'tool') &&\n          typeof message.content !== 'string'\n        ) {\n          for (const part of message.content) {\n            if (part.type === 'tool-call' || part.type === 'tool-result') {\n              keptToolCallIds.add(part.toolCallId);\n            } else if (\n              part.type === 'tool-approval-request' ||\n              part.type === 'tool-approval-response'\n            ) {\n              keptApprovalIds.add(part.approvalId);\n            }\n          }\n        }\n      }\n    }\n\n    // Build global maps from tool call id and approval id to tool name.\n    // These must be global (not per-message) because a `tool-approval-response`\n    // lives in a separate `tool` message from its `tool-approval-request`\n    // (assistant message), so the tool name of a response can only be resolved\n    // by looking across messages. Resolving names per-message left responses\n    // unresolved, which caused them to be kept while their request was pruned,\n    // producing orphaned approval responses.\n    const toolCallIdToToolName = new Map<string, string>();\n    for (const message of messages) {\n      if (\n        (message.role === 'assistant' || message.role === 'tool') &&\n        typeof message.content !== 'string'\n      ) {\n        for (const part of message.content) {\n          if (part.type === 'tool-call' || part.type === 'tool-result') {\n            toolCallIdToToolName.set(part.toolCallId, part.toolName);\n          }\n        }\n      }\n    }\n\n    const approvalIdToToolName = new Map<string, string>();\n    for (const message of messages) {\n      if (\n        (message.role === 'assistant' || message.role === 'tool') &&\n        typeof message.content !== 'string'\n      ) {\n        for (const part of message.content) {\n          if (part.type === 'tool-approval-request') {\n            const toolName = toolCallIdToToolName.get(part.toolCallId);\n            if (toolName != null) {\n              approvalIdToToolName.set(part.approvalId, toolName);\n            }\n          }\n        }\n      }\n    }\n\n    messages = messages.map((message, messageIndex) => {\n      if (\n        (message.role !== 'assistant' && message.role !== 'tool') ||\n        typeof message.content === 'string' ||\n        (keepLastMessagesCount &&\n          messageIndex >= messages.length - keepLastMessagesCount)\n      ) {\n        return message;\n      }\n\n      return {\n        ...message,\n        content: message.content.filter(part => {\n          // keep non-tool parts:\n          if (\n            part.type !== 'tool-call' &&\n            part.type !== 'tool-result' &&\n            part.type !== 'tool-approval-request' &&\n            part.type !== 'tool-approval-response'\n          ) {\n            return true;\n          }\n\n          // keep parts that are associated with a tool call or approval that needs to be kept:\n          if (\n            ((part.type === 'tool-call' || part.type === 'tool-result') &&\n              keptToolCallIds.has(part.toolCallId)) ||\n            ((part.type === 'tool-approval-request' ||\n              part.type === 'tool-approval-response') &&\n              keptApprovalIds.has(part.approvalId))\n          ) {\n            return true;\n          }\n\n          // keep parts that are not associated with a tool that should be removed:\n          const partToolName =\n            part.type === 'tool-call' || part.type === 'tool-result'\n              ? part.toolName\n              : approvalIdToToolName.get(part.approvalId);\n\n          return (\n            toolCall.tools != null &&\n            partToolName != null &&\n            !toolCall.tools.includes(partToolName)\n          );\n        }),\n      } as AssistantModelMessage | ToolModelMessage;\n    });\n  }\n\n  if (emptyMessages === 'remove') {\n    messages = messages.filter(message => message.content.length > 0);\n  }\n\n  return messages;\n}\n", "import { delay as originalDelay, type ToolSet } from '@ai-sdk/provider-utils';\nimport {\n  InvalidArgumentError,\n  type SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport type { TextStreamPart } from './stream-text-result';\n\nconst CHUNKING_REGEXPS = {\n  word: /\\S+\\s+/m,\n  line: /\\n+/m,\n};\n\n/**\n * Detects the first chunk in a buffer.\n *\n * @param buffer - The buffer to detect the first chunk in.\n *\n * @returns The first detected chunk, or `undefined` if no chunk was detected.\n */\nexport type ChunkDetector = (buffer: string) => string | undefined | null;\n\n/**\n * Smooths text and reasoning streaming output.\n *\n * @param delayInMs - The delay in milliseconds between each chunk. Defaults to 10ms. Can be set to `null` to skip the delay.\n * @param chunking - Controls how the text is chunked for streaming. Use \"word\" to stream word by word (default), \"line\" to stream line by line, provide a custom RegExp pattern for custom chunking, provide an Intl.Segmenter for locale-aware word segmentation (recommended for CJK languages), or provide a custom ChunkDetector function.\n *\n * @returns A transform stream that smooths text streaming output.\n */\nexport function smoothStream<TOOLS extends ToolSet>({\n  delayInMs = 10,\n  chunking = 'word',\n  _internal: { delay = originalDelay } = {},\n}: {\n  delayInMs?: number | null;\n  chunking?: 'word' | 'line' | RegExp | ChunkDetector | Intl.Segmenter;\n  /**\n   * Internal. For test use only. May change without notice.\n   */\n  _internal?: {\n    delay?: (delayInMs: number | null) => Promise<void>;\n  };\n} = {}): (options: {\n  tools: TOOLS;\n}) => TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>> {\n  let detectChunk: ChunkDetector;\n\n  // Check if chunking is an Intl.Segmenter (duck-typing for segment method)\n  if (\n    chunking != null &&\n    typeof chunking === 'object' &&\n    'segment' in chunking &&\n    typeof chunking.segment === 'function'\n  ) {\n    const segmenter = chunking as Intl.Segmenter;\n    detectChunk = (buffer: string) => {\n      if (buffer.length === 0) return null;\n      const iterator = segmenter.segment(buffer)[Symbol.iterator]();\n      const first = iterator.next().value;\n      return first?.segment || null;\n    };\n  } else if (typeof chunking === 'function') {\n    detectChunk = buffer => {\n      const match = chunking(buffer);\n\n      if (match == null) {\n        return null;\n      }\n\n      if (!match.length) {\n        throw new Error(`Chunking function must return a non-empty string.`);\n      }\n\n      if (!buffer.startsWith(match)) {\n        throw new Error(\n          `Chunking function must return a match that is a prefix of the buffer. Received: \"${match}\" expected to start with \"${buffer}\"`,\n        );\n      }\n\n      return match;\n    };\n  } else {\n    const chunkingRegex =\n      typeof chunking === 'string'\n        ? CHUNKING_REGEXPS[chunking]\n        : chunking instanceof RegExp\n          ? chunking\n          : undefined;\n\n    if (chunkingRegex == null) {\n      throw new InvalidArgumentError({\n        argument: 'chunking',\n        message: `Chunking must be \"word\", \"line\", a RegExp, an Intl.Segmenter, or a ChunkDetector function. Received: ${chunking}`,\n      });\n    }\n\n    detectChunk = buffer => {\n      const match = chunkingRegex.exec(buffer);\n\n      if (!match) {\n        return null;\n      }\n\n      return buffer.slice(0, match.index) + match?.[0];\n    };\n  }\n\n  return () => {\n    let buffer = '';\n    let id = '';\n    let type: 'text-delta' | 'reasoning-delta' | undefined = undefined;\n    let providerMetadata: SharedV4ProviderMetadata | undefined = undefined;\n\n    function flushBuffer(\n      controller: TransformStreamDefaultController<TextStreamPart<TOOLS>>,\n    ) {\n      if (buffer.length > 0 && type !== undefined) {\n        controller.enqueue({\n          type,\n          text: buffer,\n          id,\n          ...(providerMetadata != null ? { providerMetadata } : {}),\n        });\n        buffer = '';\n        providerMetadata = undefined;\n      }\n    }\n\n    return new TransformStream<TextStreamPart<TOOLS>, TextStreamPart<TOOLS>>({\n      async transform(chunk, controller) {\n        // Handle non-smoothable chunks: flush buffer and pass through\n        if (chunk.type !== 'text-delta' && chunk.type !== 'reasoning-delta') {\n          flushBuffer(controller);\n          controller.enqueue(chunk);\n          return;\n        }\n\n        // Flush buffer when type or id changes\n        if ((chunk.type !== type || chunk.id !== id) && buffer.length > 0) {\n          flushBuffer(controller);\n        }\n\n        buffer += chunk.text;\n        id = chunk.id;\n        type = chunk.type;\n\n        // Preserve providerMetadata (e.g., Anthropic thinking signatures)\n        if (chunk.providerMetadata != null) {\n          providerMetadata = chunk.providerMetadata;\n        }\n\n        let match;\n\n        while ((match = detectChunk(buffer)) != null) {\n          controller.enqueue({ type, text: match, id });\n          buffer = buffer.slice(match.length);\n\n          await delay(delayInMs);\n        }\n      },\n    });\n  };\n}\n", "import { asSchema, type ToolSet } from '@ai-sdk/provider-utils';\nimport { hashCanonical } from '../util/canonical-hash';\n\n/**\n * Tag a tool description for hashing. A function description is developer-owned\n * (evaluated per call from local context), not a server-controlled \"rug pull\"\n * vector, so only its presence is pinned, not its identity. The tagged shape\n * keeps a literal string equal to some placeholder from ever hashing like a\n * function.\n */\nfunction tagDescription(description: unknown) {\n  if (typeof description === 'string') {\n    return { type: 'string', value: description } as const;\n  }\n  if (description == null) {\n    return { type: 'none' } as const;\n  }\n  return { type: 'function' } as const;\n}\n\n/**\n * Fingerprint the server-controlled, security-relevant fields of each tool in a\n * `ToolSet`: `description` (string form only), the resolved input JSON schema,\n * and `title`. Returns a map of tool name to a stable digest.\n *\n * Capture a baseline at trust time (first connect, human-reviewed) and compare\n * later fetches with {@link detectToolDrift} to catch MCP tool-definition drift\n * (\"rug pull\"). Baseline storage and the drift response are the app's concern.\n */\nexport async function fingerprintTools(\n  tools: ToolSet,\n): Promise<Record<string, string>> {\n  const entries = await Promise.all(\n    Object.keys(tools).map(async name => {\n      const tool = tools[name];\n      const digest = await hashCanonical({\n        description: tagDescription(tool.description),\n        inputSchema: await asSchema(tool.inputSchema).jsonSchema,\n        title: tool.title,\n      });\n      return [name, digest] as const;\n    }),\n  );\n  return Object.fromEntries(entries);\n}\n\n/**\n * Pure diff of two fingerprint maps produced by {@link fingerprintTools}.\n * `added`/`removed` are tools present in only one map; `changed` are tools whose\n * pinned definition differs. Uses own-property lookups so a tool literally named\n * `constructor` or `toString` diffs correctly.\n */\nexport function detectToolDrift(\n  current: Record<string, string>,\n  baseline: Record<string, string>,\n): { added: string[]; removed: string[]; changed: string[] } {\n  const added: string[] = [];\n  const removed: string[] = [];\n  const changed: string[] = [];\n\n  for (const name of Object.keys(current)) {\n    if (!Object.hasOwn(baseline, name)) {\n      added.push(name);\n    } else if (current[name] !== baseline[name]) {\n      changed.push(name);\n    }\n  }\n\n  for (const name of Object.keys(baseline)) {\n    if (!Object.hasOwn(current, name)) {\n      removed.push(name);\n    }\n  }\n\n  return { added, removed, changed };\n}\n", "import type {\n  Experimental_VideoModelV4,\n  Experimental_VideoModelV4CallOptions,\n  Experimental_VideoModelV4File,\n  Experimental_VideoModelV4Result,\n  Experimental_VideoModelV4OperationWebhook,\n  Experimental_VideoModelV4FrameImage,\n  Experimental_VideoModelV4FrameType,\n  SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  convertBase64ToUint8Array,\n  delay as defaultDelay,\n  generateId,\n  withUserAgentSuffix,\n  type DataContent,\n  detectMediaType,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoVideoGeneratedError } from '../error/no-video-generated-error';\nimport {\n  DefaultGeneratedFile,\n  type GeneratedFile,\n} from '../generate-text/generated-file';\nimport { logWarnings } from '../logger/log-warnings';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { resolveVideoModel } from '../model/resolve-model';\nimport type { VideoModel } from '../types/video-model';\nimport type { VideoModelResponseMetadata } from '../types/video-model-response-metadata';\nimport type { Warning } from '../types/warning';\nimport { createDownload } from '../util/download/create-download';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport type { GenerateVideoResult } from './generate-video-result';\nimport { splitDataUrl } from '../prompt/split-data-url';\n\nexport type GenerateVideoPrompt =\n  | string\n  | {\n      image: DataContent;\n      text?: string;\n    };\n\n/**\n * Polling configuration for models that support the asynchronous\n * start/status flow.\n *\n * When used with `webhook`, `timeoutMs` also limits how long the SDK waits for\n * the webhook notification. If the model does not support webhooks, these\n * options configure the automatic polling fallback.\n */\nexport type GenerateVideoPollOptions = {\n  /**\n   * Interval between status checks in milliseconds.\n   *\n   * @default 5000\n   */\n  intervalMs?: number;\n\n  /**\n   * Maximum time to wait for completion in milliseconds.\n   *\n   * @default 600000 (10 minutes)\n   */\n  timeoutMs?: number;\n\n  /**\n   * Custom delay implementation for polling intervals and webhook timeouts.\n   * This can be used with durable workflow sleep functions.\n   *\n   * @default the built-in timer-based delay\n   */\n  delay?: (\n    delayInMs: number,\n    options?: { abortSignal?: AbortSignal },\n  ) => PromiseLike<void>;\n};\n\n/**\n * Webhook factory for models that support the asynchronous start/status flow.\n *\n * The factory should return a URL for the provider to send notifications to,\n * and a `received` promise that resolves when the notification arrives.\n */\nexport type GenerateVideoWebhookFactory = () => PromiseLike<{\n  url: string;\n  received: PromiseLike<Experimental_VideoModelV4OperationWebhook>;\n}>;\n\n/**\n * Generates videos using a video model.\n *\n * @param model - The video model to use.\n * @param prompt - The prompt that should be used to generate the video.\n * @param n - Number of videos to generate. Default: 1.\n * @param aspectRatio - Aspect ratio of the videos to generate. Must have the format `{width}:{height}`, or `'adaptive'`.\n * @param resolution - Resolution of the videos to generate. Must have the format `{width}x{height}`.\n * @param duration - Duration of the video in seconds.\n * @param fps - Frames per second for the video.\n * @param seed - Seed for the video generation.\n * @param frameImages - Role-tagged image inputs for image-to-video and first-last-frame generation.\n * @param inputReferences - Reference image or video inputs for reference-to-video generation.\n * @param generateAudio - Whether the model should generate audio alongside the video.\n * @param providerOptions - Additional provider-specific options that are passed through to the provider\n * as body parameters.\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n * @param poll - Polling configuration for models that support the start/status flow.\n * @param webhook - Webhook factory for models that support the start/status flow.\n *\n * @returns A result object that contains the generated videos.\n */\nconst defaultDownload = createDownload();\n\nexport async function experimental_generateVideo({\n  model: modelArg,\n  prompt: promptArg,\n  n = 1,\n  maxVideosPerCall,\n  aspectRatio,\n  resolution,\n  duration,\n  fps,\n  seed,\n  frameImages,\n  inputReferences,\n  generateAudio,\n  providerOptions,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  download: downloadFn = defaultDownload,\n  poll,\n  webhook,\n}: {\n  /**\n   * The video model to use.\n   */\n  model: VideoModel;\n\n  /**\n   * The prompt that should be used to generate the video.\n   */\n  prompt: GenerateVideoPrompt;\n\n  /**\n   * Number of videos to generate.\n   */\n  n?: number;\n\n  /**\n   * Maximum number of videos per API call. If not provided, the model's default will be used.\n   */\n  maxVideosPerCall?: number;\n\n  /**\n   * Aspect ratio of the videos to generate. Must have the format\n   * `{width}:{height}`, or `'adaptive'` to inherit the ratio from the input media.\n   */\n  aspectRatio?: `${number}:${number}` | 'adaptive';\n\n  /**\n   * Resolution of the videos to generate. Must have the format `{width}x${height}`.\n   */\n  resolution?: `${number}x${number}`;\n\n  /**\n   * Duration of the video in seconds.\n   */\n  duration?: number;\n\n  /**\n   * Frames per second for the video.\n   */\n  fps?: number;\n\n  /**\n   * Seed for the video generation.\n   */\n  seed?: number;\n\n  /**\n   * Role-tagged image inputs for image-to-video and first-last-frame generation.\n   */\n  frameImages?: Array<{\n    /**\n     * The image for this frame.\n     */\n    image: DataContent;\n\n    /**\n     * Which frame this image represents.\n     */\n    frameType: Experimental_VideoModelV4FrameType;\n  }>;\n\n  /**\n   * Reference inputs for reference-to-video generation.\n   *\n   * Each entry may be a plain image/video ({@link DataContent}), or an object\n   * form that carries an explicit `mediaType`.\n   */\n  inputReferences?: Array<\n    | DataContent\n    | {\n        /**\n         * The reference image or video.\n         */\n        data: DataContent;\n\n        /**\n         * The media type of the reference (e.g. 'image/png',\n         * 'video/mp4').\n         */\n        mediaType?: string;\n      }\n  >;\n\n  /**\n   * Whether the model should generate audio alongside the video.\n   */\n  generateAudio?: boolean;\n\n  /**\n   * Additional provider-specific options that are passed through to the provider\n   * as body parameters.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Maximum number of retries per video model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom download function for fetching videos from URLs.\n   * Use `createDownload()` from `ai` to create a download function with custom size limits.\n   *\n   * @default createDownload() (2 GiB limit)\n   */\n  download?: (options: {\n    url: URL;\n    abortSignal?: AbortSignal;\n  }) => Promise<{ data: Uint8Array; mediaType: string | undefined }>;\n\n  /**\n   * Polling configuration for models that support the asynchronous\n   * start/status flow. When provided and the model implements `doStart`\n   * and `doStatus`, the SDK will orchestrate polling automatically.\n   *\n   * This option can be combined with `webhook`: `timeoutMs` limits the webhook\n   * wait, and the polling settings apply if the model does not support\n   * webhooks.\n   */\n  poll?: GenerateVideoPollOptions;\n\n  /**\n   * Webhook factory for models that support the asynchronous\n   * start/status flow. When provided and the model implements `doStart`\n   * and `doStatus`, the SDK will use webhooks instead of polling.\n   *\n   * The factory should return a URL for the provider to send notifications to,\n   * and a `received` promise that resolves when the notification arrives.\n   * `poll` can also be provided to configure the webhook timeout and polling\n   * fallback.\n   */\n  webhook?: GenerateVideoWebhookFactory;\n}): Promise<GenerateVideoResult> {\n  const model = resolveVideoModel(modelArg);\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  const {\n    prompt,\n    resolvedImage,\n    normalizedFrameImages,\n    effectiveInputReferences,\n    warnings,\n  } = normalizeVideoCallInputs({ promptArg, frameImages, inputReferences });\n\n  const maxVideosPerCallWithDefault =\n    maxVideosPerCall ?? (await invokeModelMaxVideosPerCall(model)) ?? 1;\n\n  // Determine whether to use the start/status flow:\n  const hasStartStatus = model.doStart != null && model.doStatus != null;\n  const useStartStatus =\n    hasStartStatus &&\n    (poll != null || webhook != null || model.doGenerate == null);\n\n  // Validate model capabilities\n  if (model.doGenerate == null && !hasStartStatus) {\n    throw new Error(\n      `Video model ${model.modelId} does not implement doGenerate or doStart/doStatus.`,\n    );\n  }\n\n  // Warn if poll/webhook provided but model doesn't support start/status\n  if ((poll != null || webhook != null) && !hasStartStatus) {\n    logWarnings({\n      warnings: [\n        {\n          type: 'other',\n          message:\n            'poll/webhook options were provided but the model does not support doStart/doStatus. Falling back to doGenerate.',\n        },\n      ],\n      provider: model.provider,\n      model: model.modelId,\n    });\n  }\n\n  // parallelize calls to the model:\n  const callCount = Math.ceil(n / maxVideosPerCallWithDefault);\n  const callVideoCounts = Array.from({ length: callCount }, (_, index) => {\n    const remaining = n - index * maxVideosPerCallWithDefault;\n    return Math.min(remaining, maxVideosPerCallWithDefault);\n  });\n\n  const results = await Promise.all(\n    callVideoCounts.map(async callVideoCount => {\n      const callOptions: Experimental_VideoModelV4CallOptions = {\n        prompt,\n        n: callVideoCount,\n        aspectRatio,\n        resolution,\n        duration,\n        fps,\n        seed,\n        image: resolvedImage,\n        frameImages: normalizedFrameImages,\n        inputReferences: effectiveInputReferences,\n        generateAudio,\n        providerOptions: providerOptions ?? {},\n        headers: headersWithUserAgent,\n        abortSignal,\n      };\n\n      if (useStartStatus) {\n        return executeStartStatusFlow({\n          model,\n          callOptions,\n          poll,\n          webhook,\n          retry,\n        });\n      }\n\n      return retry(() => model.doGenerate!(callOptions));\n    }),\n  );\n\n  // collect result videos, warnings, and response metadata\n  const videos: Array<GeneratedFile> = [];\n  const responses: Array<VideoModelResponseMetadata> = [];\n  const providerMetadata: SharedV4ProviderMetadata = {};\n\n  for (const result of results) {\n    for (const videoData of result.videos) {\n      switch (videoData.type) {\n        case 'url': {\n          const { data, mediaType: downloadedMediaType } = await downloadFn({\n            url: new URL(videoData.url),\n            abortSignal,\n          });\n\n          // Filter out generic/unknown media types that should fall through to detection\n          const isUsableMediaType = (type: string | undefined): boolean =>\n            !!type && type !== 'application/octet-stream';\n\n          const mediaType =\n            (isUsableMediaType(videoData.mediaType) && videoData.mediaType) ||\n            (isUsableMediaType(downloadedMediaType) && downloadedMediaType) ||\n            detectMediaType({\n              data,\n              topLevelType: 'video',\n            }) ||\n            'video/mp4';\n\n          videos.push(\n            new DefaultGeneratedFile({\n              data,\n              mediaType,\n            }),\n          );\n          break;\n        }\n\n        case 'base64': {\n          videos.push(\n            new DefaultGeneratedFile({\n              data: videoData.data,\n              mediaType: videoData.mediaType || 'video/mp4',\n            }),\n          );\n          break;\n        }\n\n        case 'binary': {\n          const mediaType =\n            videoData.mediaType ||\n            detectMediaType({\n              data: videoData.data,\n              topLevelType: 'video',\n            }) ||\n            'video/mp4';\n\n          videos.push(\n            new DefaultGeneratedFile({\n              data: videoData.data,\n              mediaType,\n            }),\n          );\n          break;\n        }\n      }\n    }\n\n    warnings.push(...result.warnings);\n\n    responses.push({\n      timestamp: result.response.timestamp,\n      modelId: result.response.modelId,\n      headers: result.response.headers,\n      providerMetadata: result.providerMetadata,\n    });\n\n    if (result.providerMetadata != null) {\n      mergeProviderMetadata(providerMetadata, result.providerMetadata);\n    }\n  }\n\n  if (videos.length === 0) {\n    throw new NoVideoGeneratedError({ responses });\n  }\n\n  if (warnings.length > 0) {\n    logWarnings({\n      warnings,\n      provider: model.provider,\n      model: model.modelId,\n    });\n  }\n\n  return {\n    video: videos[0],\n    videos,\n    warnings,\n    responses,\n    providerMetadata,\n  };\n}\n\nasync function executeStartStatusFlow({\n  model,\n  callOptions,\n  poll: pollConfig,\n  webhook: webhookFactory,\n  retry,\n}: {\n  model: Experimental_VideoModelV4;\n  callOptions: Experimental_VideoModelV4CallOptions;\n  poll?: GenerateVideoPollOptions;\n  webhook?: GenerateVideoWebhookFactory;\n  retry: <OUTPUT>(fn: () => PromiseLike<OUTPUT>) => PromiseLike<OUTPUT>;\n}): Promise<Experimental_VideoModelV4Result> {\n  // 1. If webhook and provider supports it, set up the webhook\n  const earlyWarnings: Experimental_VideoModelV4Result['warnings'] = [];\n  let webhookUrl: string | undefined;\n  let webhookReceived:\n    | PromiseLike<Experimental_VideoModelV4OperationWebhook>\n    | undefined;\n\n  if (webhookFactory != null) {\n    if (model.handleWebhookOption != null) {\n      const result = await model.handleWebhookOption({\n        webhook: webhookFactory,\n      });\n      webhookUrl = result.webhookUrl;\n      webhookReceived = result.received;\n    } else {\n      earlyWarnings.push({\n        type: 'unsupported',\n        feature: 'webhook',\n        details:\n          'This model does not support webhooks. Falling back to polling.',\n      });\n    }\n  }\n\n  // 2. Start the generation. `doStart` is billable: mint one idempotency token\n  // per logical start, outside the retry closure; a caller-supplied key wins.\n  const callerIdempotencyKey = Object.entries(callOptions.headers ?? {}).find(\n    ([key, value]) =>\n      key.toLowerCase() === 'idempotency-key' && value !== undefined,\n  );\n  const startCallOptions = {\n    ...callOptions,\n    headers: {\n      ...callOptions.headers,\n      ...(callerIdempotencyKey\n        ? {}\n        : { 'idempotency-key': `aisdk_vid_${generateId()}` }),\n    },\n    webhookUrl,\n  };\n  const startResult = await retry(() => model.doStart!(startCallOptions));\n\n  const allWarnings = [...earlyWarnings, ...startResult.warnings];\n  let operationProviderMetadata =\n    startResult.providerMetadata == null\n      ? undefined\n      : { ...startResult.providerMetadata };\n  const intervalMs = pollConfig?.intervalMs ?? 5000;\n  const timeoutMs = pollConfig?.timeoutMs ?? 600_000;\n  const delay = pollConfig?.delay ?? defaultDelay;\n  const startTime = Date.now();\n\n  if (webhookReceived != null) {\n    // 3a. Webhook flow: wait for webhook, then get final status\n    await waitForWebhook({\n      received: webhookReceived,\n      timeoutMs,\n      abortSignal: callOptions.abortSignal,\n      delay,\n    });\n  }\n\n  while (true) {\n    if (webhookReceived == null) {\n      // 3b. Polling flow (also used when webhooks are not supported)\n      const elapsedMs = Date.now() - startTime;\n      if (elapsedMs >= timeoutMs) {\n        throw new Error(`Video generation timed out after ${timeoutMs}ms.`);\n      }\n      await delay(Math.min(intervalMs, timeoutMs - elapsedMs), {\n        abortSignal: callOptions.abortSignal,\n      });\n      if (Date.now() - startTime >= timeoutMs) {\n        throw new Error(`Video generation timed out after ${timeoutMs}ms.`);\n      }\n    }\n\n    const statusResult = await retry(() =>\n      model.doStatus!({\n        operation: startResult.operation,\n        abortSignal: callOptions.abortSignal,\n        headers: callOptions.headers,\n      }),\n    );\n\n    if (statusResult.status === 'error') {\n      throw new Error(statusResult.error);\n    }\n\n    if (statusResult.warnings != null) {\n      allWarnings.push(...statusResult.warnings);\n    }\n    if (statusResult.providerMetadata != null) {\n      operationProviderMetadata ??= {};\n      mergeProviderMetadata(\n        operationProviderMetadata,\n        statusResult.providerMetadata,\n      );\n    }\n\n    if (statusResult.status === 'completed') {\n      return {\n        videos: statusResult.videos,\n        warnings: allWarnings,\n        providerMetadata: operationProviderMetadata,\n        response: statusResult.response,\n      };\n    }\n\n    if (webhookReceived != null) {\n      throw new Error(\n        'Video generation did not complete after webhook notification.',\n      );\n    }\n  }\n}\n\nasync function waitForWebhook({\n  received,\n  timeoutMs,\n  abortSignal,\n  delay,\n}: {\n  received: PromiseLike<Experimental_VideoModelV4OperationWebhook>;\n  timeoutMs: number;\n  abortSignal?: AbortSignal;\n  delay: (\n    delayInMs: number,\n    options?: { abortSignal?: AbortSignal },\n  ) => PromiseLike<void>;\n}) {\n  // Cancel the timeout delay once the webhook arrives (or we abort/time out),\n  // so its timer does not keep the event loop alive on the success path.\n  const timeoutController =\n    typeof globalThis.AbortController === 'function'\n      ? new globalThis.AbortController()\n      : undefined;\n  try {\n    await Promise.race([\n      received,\n      delay(timeoutMs, {\n        abortSignal:\n          timeoutController == null\n            ? abortSignal\n            : mergeAbortSignals(abortSignal, timeoutController.signal),\n      }).then(() => {\n        throw new Error(`Video generation timed out after ${timeoutMs}ms.`);\n      }),\n    ]);\n  } finally {\n    timeoutController?.abort();\n  }\n}\n\nfunction mergeProviderMetadata(\n  target: SharedV4ProviderMetadata,\n  source: SharedV4ProviderMetadata,\n): void {\n  for (const [providerName, metadataValue] of Object.entries(source)) {\n    const existingMetadata = target[providerName];\n    if (\n      existingMetadata != null &&\n      typeof existingMetadata === 'object' &&\n      metadataValue != null &&\n      typeof metadataValue === 'object'\n    ) {\n      target[providerName] = {\n        ...existingMetadata,\n        ...metadataValue,\n      };\n\n      if (\n        'videos' in existingMetadata &&\n        Array.isArray(existingMetadata.videos) &&\n        'videos' in metadataValue &&\n        Array.isArray(metadataValue.videos)\n      ) {\n        (target[providerName] as { videos: unknown[] }).videos = [\n          ...existingMetadata.videos,\n          ...metadataValue.videos,\n        ];\n      }\n    } else {\n      target[providerName] = metadataValue;\n    }\n  }\n}\n\nfunction normalizePrompt(promptArg: GenerateVideoPrompt): {\n  prompt: string | undefined;\n  image: Experimental_VideoModelV4File | undefined;\n} {\n  if (typeof promptArg === 'string') {\n    return {\n      prompt: promptArg,\n      image: undefined,\n    };\n  }\n\n  return {\n    prompt: promptArg.text,\n    image:\n      promptArg.image != null ? normalizeImageData(promptArg.image) : undefined,\n  };\n}\n\n/**\n * Shared input normalization for `experimental_generateVideo` and\n * `experimental_startVideo`: prompt/image plus the frameImages /\n * inputReferences precedence rules and their warnings.\n */\nexport function normalizeVideoCallInputs({\n  promptArg,\n  frameImages,\n  inputReferences,\n}: {\n  promptArg: GenerateVideoPrompt;\n  frameImages?: Array<{\n    image: DataContent;\n    frameType: Experimental_VideoModelV4FrameType;\n  }>;\n  inputReferences?: Array<\n    DataContent | { data: DataContent; mediaType?: string }\n  >;\n}): {\n  prompt: string | undefined;\n  resolvedImage: Experimental_VideoModelV4File | undefined;\n  normalizedFrameImages: Array<Experimental_VideoModelV4FrameImage> | undefined;\n  effectiveInputReferences: Array<Experimental_VideoModelV4File> | undefined;\n  warnings: Array<Warning>;\n} {\n  const { prompt, image } = normalizePrompt(promptArg);\n\n  const normalizedFrameImages:\n    | Array<Experimental_VideoModelV4FrameImage>\n    | undefined = frameImages?.flatMap(frame => {\n    const normalizedImage = normalizeImageData(frame.image);\n    return normalizedImage != null\n      ? [{ image: normalizedImage, frameType: frame.frameType }]\n      : [];\n  });\n\n  const normalizedInputReferences:\n    | Array<Experimental_VideoModelV4File>\n    | undefined = inputReferences?.flatMap(reference => {\n    const normalized = normalizeReferenceData(reference);\n    return normalized != null ? [normalized] : [];\n  });\n\n  const effectiveInputReferences =\n    normalizedFrameImages != null && normalizedFrameImages.length > 0\n      ? undefined\n      : normalizedInputReferences;\n\n  const warnings: Array<Warning> = [];\n\n  if (\n    normalizedFrameImages != null &&\n    normalizedFrameImages.length > 0 &&\n    normalizedInputReferences != null &&\n    normalizedInputReferences.length > 0\n  ) {\n    warnings.push({\n      type: 'other',\n      message:\n        'inputReferences were ignored because frameImages were provided; ' +\n        'frameImages and inputReferences cannot be combined.',\n    });\n  }\n\n  const firstFrameImage = normalizedFrameImages?.find(\n    frame => frame.frameType === 'first_frame',\n  )?.image;\n\n  if (image != null && firstFrameImage != null) {\n    warnings.push({\n      type: 'other',\n      message:\n        'prompt.image was ignored because a first_frame frameImage was provided; ' +\n        'the first_frame frameImage takes precedence as the start image.',\n    });\n  }\n\n  const resolvedImage = firstFrameImage ?? image;\n\n  return {\n    prompt,\n    resolvedImage,\n    normalizedFrameImages,\n    effectiveInputReferences,\n    warnings,\n  };\n}\n\nfunction detectFileMediaType(\n  data: Uint8Array,\n  restrictToImages: boolean,\n): string {\n  const detected = restrictToImages\n    ? detectMediaType({ data, topLevelType: 'image' })\n    : detectMediaType({ data });\n  return detected ?? 'image/png';\n}\n\n/**\n * Normalizes a {@link DataContent} image into a {@link Experimental_VideoModelV4File}.\n * Accepts a URL string, a data URL, a base64 string, or binary image data.\n */\nfunction normalizeImageData(\n  dataContent: DataContent,\n  { restrictToImages = true }: { restrictToImages?: boolean } = {},\n): Experimental_VideoModelV4File | undefined {\n  if (typeof dataContent === 'string') {\n    if (\n      dataContent.startsWith('http://') ||\n      dataContent.startsWith('https://')\n    ) {\n      return {\n        type: 'url',\n        url: dataContent,\n      };\n    }\n\n    if (dataContent.startsWith('data:')) {\n      const { mediaType, base64Content } = splitDataUrl(dataContent);\n      const data = convertBase64ToUint8Array(base64Content ?? '');\n      return {\n        type: 'file',\n        mediaType: mediaType ?? detectFileMediaType(data, restrictToImages),\n        data,\n      };\n    }\n\n    const bytes = convertBase64ToUint8Array(dataContent);\n    return {\n      type: 'file',\n      mediaType: detectFileMediaType(bytes, restrictToImages),\n      data: bytes,\n    };\n  }\n\n  if (dataContent instanceof Uint8Array || dataContent instanceof ArrayBuffer) {\n    const bytes =\n      dataContent instanceof Uint8Array\n        ? dataContent\n        : new Uint8Array(dataContent);\n    return {\n      type: 'file',\n      mediaType: detectFileMediaType(bytes, restrictToImages),\n      data: bytes,\n    };\n  }\n\n  return undefined;\n}\n\n/**\n * Normalizes a reference input into a {@link Experimental_VideoModelV4File},\n * accepting either a plain {@link DataContent} or the object form that carries\n * an explicit `mediaType`.\n */\nfunction normalizeReferenceData(\n  reference:\n    | DataContent\n    | {\n        data: DataContent;\n        mediaType?: string;\n      },\n): Experimental_VideoModelV4File | undefined {\n  const isObjectForm =\n    typeof reference === 'object' &&\n    reference != null &&\n    !(reference instanceof Uint8Array) &&\n    !(reference instanceof ArrayBuffer) &&\n    'data' in reference;\n\n  if (!isObjectForm) {\n    return normalizeImageData(reference as DataContent, {\n      restrictToImages: false,\n    });\n  }\n\n  const normalized = normalizeImageData(reference.data, {\n    restrictToImages: false,\n  });\n  if (normalized == null) {\n    return normalized;\n  }\n\n  return {\n    ...normalized,\n    ...(reference.mediaType != null ? { mediaType: reference.mediaType } : {}),\n  };\n}\n\nasync function invokeModelMaxVideosPerCall(model: Experimental_VideoModelV4) {\n  if (typeof model.maxVideosPerCall === 'function') {\n    return await model.maxVideosPerCall({ modelId: model.modelId });\n  }\n\n  return model.maxVideosPerCall;\n}\n", "import type {\n  Experimental_VideoModelV4CallOptions,\n  Experimental_VideoModelV4FrameType,\n  JSONValue,\n} from '@ai-sdk/provider';\nimport {\n  generateId,\n  withUserAgentSuffix,\n  type DataContent,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { resolveVideoModel } from '../model/resolve-model';\nimport type {\n  VideoModel,\n  VideoModelProviderMetadata,\n} from '../types/video-model';\nimport type { VideoModelResponseMetadata } from '../types/video-model-response-metadata';\nimport type { Warning } from '../types/warning';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\nimport {\n  normalizeVideoCallInputs,\n  type GenerateVideoPrompt,\n} from './generate-video';\n\n/**\n * The result of an `experimental_startVideo` call.\n */\nexport interface StartVideoResult {\n  /**\n   * JSON-serializable opaque reference to the started generation.\n   * Persist it and pass it to `experimental_getVideoStatus` to retrieve the\n   * status and result later — from any process.\n   */\n  readonly operation: JSONValue;\n\n  /**\n   * Warnings for the call, e.g. unsupported settings.\n   */\n  readonly warnings: Array<Warning>;\n\n  /**\n   * Provider-specific metadata passed through from the provider.\n   * Carries the provider's own job identifiers (e.g. the AI Gateway's\n   * `providerMetadata.gateway.asyncJob.jobId` and, when `webhookUrl` was\n   * given, its `webhookSigningSecret`).\n   */\n  readonly providerMetadata?: VideoModelProviderMetadata;\n\n  /**\n   * Response metadata from the provider.\n   */\n  readonly response: VideoModelResponseMetadata;\n}\n\n/**\n * Starts an asynchronous video generation and returns immediately with an\n * opaque `operation` reference — without waiting for the video to finish.\n *\n * This is the fire-and-forget counterpart to `experimental_generateVideo`:\n * use it to fan out many jobs, to submit from a process that will not stay\n * alive, or together with `webhookUrl` so the provider notifies your endpoint\n * at the terminal state. Check the outcome with `experimental_getVideoStatus`,\n * or let your webhook receiver fetch the result.\n *\n * @param model - The video model to use. Must implement `doStart`.\n * @param prompt - The prompt that should be used to generate the video.\n * @param n - Number of videos to generate. Default: 1. Must not exceed the\n * model's `maxVideosPerCall` — fan out with multiple `startVideo` calls.\n * @param aspectRatio - Aspect ratio of the videos to generate. Must have the format `{width}:{height}`, or `'adaptive'`.\n * @param resolution - Resolution of the videos to generate. Must have the format `{width}x${height}`.\n * @param duration - Duration of the video in seconds.\n * @param fps - Frames per second for the video.\n * @param seed - Seed for the video generation.\n * @param frameImages - Role-tagged image inputs for image-to-video and first-last-frame generation.\n * @param inputReferences - Reference image or video inputs for reference-to-video generation.\n * @param generateAudio - Whether the model should generate audio alongside the video.\n * @param providerOptions - Additional provider-specific options that are passed through to the provider\n * as body parameters.\n * @param maxRetries - Maximum number of retries for the start call. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n * @param webhookUrl - A URL the provider should notify when the generation\n * reaches a terminal state.\n *\n * @returns A result object that contains the opaque `operation` reference,\n * warnings, provider metadata (including the provider's job id), and response\n * metadata.\n */\nexport async function experimental_startVideo({\n  model: modelArg,\n  prompt: promptArg,\n  n = 1,\n  maxVideosPerCall,\n  aspectRatio,\n  resolution,\n  duration,\n  fps,\n  seed,\n  frameImages,\n  inputReferences,\n  generateAudio,\n  providerOptions,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  webhookUrl,\n}: {\n  model: VideoModel;\n  prompt: GenerateVideoPrompt;\n  n?: number;\n  maxVideosPerCall?: number;\n  aspectRatio?: `${number}:${number}` | 'adaptive';\n  resolution?: `${number}x${number}`;\n  duration?: number;\n  fps?: number;\n  seed?: number;\n  frameImages?: Array<{\n    image: DataContent;\n    frameType: Experimental_VideoModelV4FrameType;\n  }>;\n  inputReferences?: Array<\n    DataContent | { data: DataContent; mediaType?: string }\n  >;\n  generateAudio?: boolean;\n  providerOptions?: ProviderOptions;\n  maxRetries?: number;\n  abortSignal?: AbortSignal;\n  headers?: Record<string, string>;\n  webhookUrl?: string;\n}): Promise<StartVideoResult> {\n  const model = resolveVideoModel(modelArg);\n\n  if (model.doStart == null) {\n    throw new Error(\n      `Video model ${model.modelId} does not implement doStart. ` +\n        'Use generateVideo for models without an asynchronous start/status flow.',\n    );\n  }\n\n  if (!Number.isInteger(n) || n < 1) {\n    throw new Error(\n      `Invalid n: expected a positive integer, received ${JSON.stringify(n)}.`,\n    );\n  }\n\n  // A start yields one operation covering all n videos: refuse to silently\n  // exceed a known per-call limit instead of splitting into several starts.\n  const knownMaxVideosPerCall =\n    maxVideosPerCall ??\n    (typeof model.maxVideosPerCall === 'function'\n      ? await model.maxVideosPerCall({ modelId: model.modelId })\n      : model.maxVideosPerCall);\n  if (knownMaxVideosPerCall != null && n > knownMaxVideosPerCall) {\n    throw new Error(\n      `Video model ${model.modelId} supports at most ${knownMaxVideosPerCall} video(s) per call, ` +\n        `but ${n} were requested. Split the batch across multiple startVideo calls.`,\n    );\n  }\n\n  const {\n    prompt,\n    resolvedImage,\n    normalizedFrameImages,\n    effectiveInputReferences,\n    warnings,\n  } = normalizeVideoCallInputs({ promptArg, frameImages, inputReferences });\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  // `doStart` is billable: mint one idempotency token per logical start,\n  // outside the retry closure; a caller-supplied key wins.\n  const callerIdempotencyKey = Object.entries(headers ?? {}).find(\n    ([key, value]) =>\n      key.toLowerCase() === 'idempotency-key' && value !== undefined,\n  );\n\n  const callOptions: Experimental_VideoModelV4CallOptions & {\n    webhookUrl?: string;\n  } = {\n    prompt,\n    n,\n    aspectRatio,\n    resolution,\n    duration,\n    fps,\n    seed,\n    image: resolvedImage,\n    frameImages: normalizedFrameImages,\n    inputReferences: effectiveInputReferences,\n    generateAudio,\n    providerOptions: providerOptions ?? {},\n    headers: {\n      ...withUserAgentSuffix(headers ?? {}, `ai/${VERSION}`),\n      ...(callerIdempotencyKey\n        ? {}\n        : { 'idempotency-key': `aisdk_vid_${generateId()}` }),\n    },\n    abortSignal,\n    webhookUrl,\n  };\n\n  const startResult = await retry(() => model.doStart!(callOptions));\n\n  return {\n    operation: startResult.operation,\n    warnings: [...warnings, ...startResult.warnings],\n    providerMetadata: startResult.providerMetadata,\n    response: startResult.response,\n  };\n}\n", "import type {\n  Experimental_VideoModelV4OperationStatusResult,\n  JSONValue,\n} from '@ai-sdk/provider';\nimport { withUserAgentSuffix } from '@ai-sdk/provider-utils';\nimport { resolveVideoModel } from '../model/resolve-model';\nimport type { VideoModel } from '../types/video-model';\nimport { prepareRetries } from '../util/prepare-retries';\nimport { VERSION } from '../version';\n\n/**\n * The result of an `experimental_getVideoStatus` call: the spec-level status\n * payload, discriminated by `status` (`pending` | `completed` | `error`).\n */\nexport type GetVideoStatusResult =\n  Experimental_VideoModelV4OperationStatusResult;\n\n/**\n * Checks the status of an asynchronous video generation started with\n * `experimental_startVideo`.\n *\n * A single check — no polling loop. Poll by calling this on your own\n * schedule, or skip polling entirely when the start used `webhookUrl` and\n * your receiver fetches the result after the terminal notification arrives.\n *\n * @param model - The video model the operation was started on.\n * @param operation - The opaque reference returned by `experimental_startVideo`.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param maxRetries - Maximum number of retries for the status call. Set to 0 to disable retries. Default: 2.\n */\nexport async function experimental_getVideoStatus(\n  modelArg: VideoModel,\n  {\n    operation,\n    headers,\n    abortSignal,\n    maxRetries: maxRetriesArg,\n  }: {\n    operation: JSONValue;\n    headers?: Record<string, string>;\n    abortSignal?: AbortSignal;\n    maxRetries?: number;\n  },\n): Promise<GetVideoStatusResult> {\n  const model = resolveVideoModel(modelArg);\n\n  if (model.doStatus == null) {\n    throw new Error(\n      `Video model ${model.modelId} does not implement doStatus.`,\n    );\n  }\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  return retry(() =>\n    model.doStatus!({\n      operation,\n      headers: withUserAgentSuffix(headers ?? {}, `ai/${VERSION}`),\n      abortSignal,\n    }),\n  );\n}\n", "import type { EmbeddingModelV4CallOptions } from '@ai-sdk/provider';\nimport type { EmbeddingModelMiddleware } from '../types';\nimport { mergeObjects } from '../util/merge-objects';\n\n/**\n * Applies default settings for an embedding model.\n */\nexport function defaultEmbeddingSettingsMiddleware({\n  settings,\n}: {\n  settings: Partial<{\n    headers?: EmbeddingModelV4CallOptions['headers'];\n    providerOptions?: EmbeddingModelV4CallOptions['providerOptions'];\n  }>;\n}): EmbeddingModelMiddleware {\n  return {\n    specificationVersion: 'v4',\n    transformParams: async ({ params }) => {\n      return mergeObjects(settings, params) as EmbeddingModelV4CallOptions;\n    },\n  };\n}\n", "import type { LanguageModelV4Prompt } from '@ai-sdk/provider';\nimport { asArray } from '@ai-sdk/provider-utils';\nimport type { Instructions } from '../prompt/prompt';\nimport type { LanguageModelMiddleware } from '../types';\n\n/**\n * Applies default instructions to a language model when a call does not\n * already contain a system message.\n */\nexport function defaultInstructionsMiddleware({\n  instructions,\n}: {\n  /**\n   * Default instructions to prepend to calls that do not contain a system\n   * message.\n   */\n  instructions: Instructions;\n}): LanguageModelMiddleware {\n  const defaultSystemMessages: LanguageModelV4Prompt =\n    typeof instructions === 'string'\n      ? [{ role: 'system', content: instructions }]\n      : asArray(instructions).map(message => ({\n          role: 'system',\n          content: message.content,\n          providerOptions: message.providerOptions,\n        }));\n\n  return {\n    specificationVersion: 'v4',\n    transformParams: async ({ params }) => {\n      if (\n        defaultSystemMessages.length === 0 ||\n        params.prompt.some(message => message.role === 'system')\n      ) {\n        return params;\n      }\n\n      return {\n        ...params,\n        prompt: [...defaultSystemMessages, ...params.prompt],\n      };\n    },\n  };\n}\n", "import type { LanguageModelV4CallOptions } from '@ai-sdk/provider';\nimport type { LanguageModelMiddleware } from '../types';\nimport { mergeObjects } from '../util/merge-objects';\n\n/**\n * Applies default settings for a language model.\n */\nexport function defaultSettingsMiddleware({\n  settings,\n}: {\n  settings: Partial<{\n    maxOutputTokens?: LanguageModelV4CallOptions['maxOutputTokens'];\n    temperature?: LanguageModelV4CallOptions['temperature'];\n    stopSequences?: LanguageModelV4CallOptions['stopSequences'];\n    topP?: LanguageModelV4CallOptions['topP'];\n    topK?: LanguageModelV4CallOptions['topK'];\n    presencePenalty?: LanguageModelV4CallOptions['presencePenalty'];\n    frequencyPenalty?: LanguageModelV4CallOptions['frequencyPenalty'];\n    responseFormat?: LanguageModelV4CallOptions['responseFormat'];\n    seed?: LanguageModelV4CallOptions['seed'];\n    tools?: LanguageModelV4CallOptions['tools'];\n    toolChoice?: LanguageModelV4CallOptions['toolChoice'];\n    headers?: LanguageModelV4CallOptions['headers'];\n    providerOptions?: LanguageModelV4CallOptions['providerOptions'];\n  }>;\n}): LanguageModelMiddleware {\n  return {\n    specificationVersion: 'v4',\n    transformParams: async ({ params }) => {\n      return mergeObjects(settings, params) as LanguageModelV4CallOptions;\n    },\n  };\n}\n", "import type {\n  LanguageModelV4Content,\n  LanguageModelV4StreamPart,\n} from '@ai-sdk/provider';\nimport type { LanguageModelMiddleware } from '../types/language-model-middleware';\nimport { createIdMap } from '../util/create-id-map';\n\n/**\n * Default transform function that strips markdown code fences from text.\n */\nfunction defaultTransform(text: string): string {\n  return text\n    .replace(/^```(?:json)?\\s*\\n?/, '')\n    .replace(/\\n?```\\s*$/, '')\n    .trim();\n}\n\nfunction stripMarkdownCodeFenceSuffix(text: string): string {\n  return text.replace(/\\n?```\\s*$/, '').trimEnd();\n}\n\n/**\n * Middleware that extracts JSON from text content by stripping\n * markdown code fences and other formatting.\n *\n * This is useful when using Output.object() with models that wrap\n * JSON responses in markdown code blocks.\n *\n * @param options - Configuration options for the middleware.\n * @param options.transform - Custom transform function. If provided, this will be\n * used instead of the default markdown fence stripping.\n */\nexport function extractJsonMiddleware(options?: {\n  /**\n   * Custom transform function to apply to text content.\n   * Receives the raw text and should return the transformed text.\n   * If not provided, the default transform strips markdown code fences.\n   */\n  transform?: (text: string) => string;\n}): LanguageModelMiddleware {\n  const transform = options?.transform ?? defaultTransform;\n  const hasCustomTransform = options?.transform !== undefined;\n\n  return {\n    specificationVersion: 'v4',\n\n    wrapGenerate: async ({ doGenerate }) => {\n      const { content, ...rest } = await doGenerate();\n\n      const transformedContent: LanguageModelV4Content[] = [];\n      for (const part of content) {\n        if (part.type !== 'text') {\n          transformedContent.push(part);\n          continue;\n        }\n\n        transformedContent.push({\n          ...part,\n          text: transform(part.text),\n        });\n      }\n\n      return { content: transformedContent, ...rest };\n    },\n    wrapStream: async ({ doStream }) => {\n      const { stream, ...rest } = await doStream();\n\n      const textBlocks: Record<\n        string,\n        {\n          startEvent: LanguageModelV4StreamPart;\n          phase: 'prefix' | 'streaming' | 'buffering';\n          buffer: string;\n          prefixStripped: boolean;\n        }\n      > = createIdMap();\n\n      const SUFFIX_BUFFER_SIZE = 12;\n\n      return {\n        stream: stream.pipeThrough(\n          new TransformStream<\n            LanguageModelV4StreamPart,\n            LanguageModelV4StreamPart\n          >({\n            transform: (chunk, controller) => {\n              if (chunk.type === 'text-start') {\n                textBlocks[chunk.id] = {\n                  startEvent: chunk,\n                  // Custom transforms need to buffer all content\n                  phase: hasCustomTransform ? 'buffering' : 'prefix',\n                  buffer: '',\n                  prefixStripped: false,\n                };\n                return;\n              }\n\n              if (chunk.type === 'text-delta') {\n                const block = textBlocks[chunk.id];\n                if (!block) {\n                  controller.enqueue(chunk);\n                  return;\n                }\n\n                block.buffer += chunk.delta;\n\n                // Custom transform: buffer everything, transform at end\n                if (block.phase === 'buffering') {\n                  return;\n                }\n\n                if (block.phase === 'prefix') {\n                  // Check if we can determine prefix status\n                  if (\n                    block.buffer.length > 0 &&\n                    !block.buffer.startsWith('`')\n                  ) {\n                    block.phase = 'streaming';\n                    controller.enqueue(block.startEvent);\n                  } else if (block.buffer.startsWith('```')) {\n                    // Only strip prefix when we have a newline (fence is complete)\n                    if (block.buffer.includes('\\n')) {\n                      const prefixMatch =\n                        block.buffer.match(/^```(?:json)?\\s*\\n/);\n                      if (prefixMatch) {\n                        block.buffer = block.buffer.slice(\n                          prefixMatch[0].length,\n                        );\n                        block.prefixStripped = true;\n                        block.phase = 'streaming';\n                        controller.enqueue(block.startEvent);\n                      } else {\n                        // Has newline but doesn't match fence pattern\n                        block.phase = 'streaming';\n                        controller.enqueue(block.startEvent);\n                      }\n                    }\n                    // else keep buffering until we see a newline\n                  } else if (\n                    block.buffer.length >= 3 &&\n                    !block.buffer.startsWith('```')\n                  ) {\n                    block.phase = 'streaming';\n                    controller.enqueue(block.startEvent);\n                  }\n                }\n\n                // Stream content\n                if (\n                  block.phase === 'streaming' &&\n                  block.buffer.length > SUFFIX_BUFFER_SIZE\n                ) {\n                  const toStream = block.buffer.slice(0, -SUFFIX_BUFFER_SIZE);\n                  block.buffer = block.buffer.slice(-SUFFIX_BUFFER_SIZE);\n                  controller.enqueue({\n                    type: 'text-delta',\n                    id: chunk.id,\n                    delta: toStream,\n                  });\n                }\n                return;\n              }\n\n              if (chunk.type === 'text-end') {\n                const block = textBlocks[chunk.id];\n                if (block) {\n                  if (block.phase === 'prefix' || block.phase === 'buffering') {\n                    controller.enqueue(block.startEvent);\n                  }\n\n                  let remaining = block.buffer;\n                  if (block.phase === 'buffering') {\n                    remaining = transform(remaining);\n                  } else if (block.prefixStripped) {\n                    // strip suffix since prefix already handled\n                    remaining = stripMarkdownCodeFenceSuffix(remaining);\n                  } else if (block.phase === 'prefix') {\n                    // No text has streamed yet, so the full transform is safe.\n                    remaining = transform(remaining);\n                  } else {\n                    // Only strip the suffix. Since earlier text may already have\n                    // streamed, trimming the remaining suffix would remove valid\n                    // leading whitespace at the stream boundary.\n                    remaining = stripMarkdownCodeFenceSuffix(remaining);\n                  }\n\n                  if (remaining.length > 0) {\n                    controller.enqueue({\n                      type: 'text-delta',\n                      id: chunk.id,\n                      delta: remaining,\n                    });\n                  }\n                  controller.enqueue(chunk);\n                  delete textBlocks[chunk.id];\n                  return;\n                }\n              }\n              controller.enqueue(chunk);\n            },\n          }),\n        ),\n        ...rest,\n      };\n    },\n  };\n}\n", "/**\n * Finds the potential starting index where searchedText could begin in text.\n *\n * This function checks for both complete and partial matches:\n * - If searchedText is found as a complete substring, returns the index of the first occurrence.\n * - If the end of text matches the beginning of searchedText (partial match),\n *   returns the index where that partial match starts.\n *\n * @param text - The text to search within.\n * @param searchedText - The text to search for.\n * @returns The starting index of the match (complete or partial), or null if\n *          searchedText is empty or no match is found.\n */\nexport function getPotentialStartIndex(\n  text: string,\n  searchedText: string,\n): number | null {\n  // Return null immediately if searchedText is empty.\n  if (searchedText.length === 0) {\n    return null;\n  }\n\n  // Check if the searchedText exists as a direct substring of text.\n  const directIndex = text.indexOf(searchedText);\n  if (directIndex !== -1) {\n    return directIndex;\n  }\n\n  // Otherwise, look for the largest suffix of \"text\" that matches\n  // a prefix of \"searchedText\". We go from the end of text inward.\n  for (let i = text.length - 1; i >= 0; i--) {\n    const suffix = text.substring(i);\n    if (searchedText.startsWith(suffix)) {\n      return i;\n    }\n  }\n\n  return null;\n}\n", "import type {\n  LanguageModelV4Content,\n  LanguageModelV4StreamPart,\n} from '@ai-sdk/provider';\nimport type { LanguageModelMiddleware } from '../types/language-model-middleware';\nimport { createIdMap } from '../util/create-id-map';\nimport { getPotentialStartIndex } from '../util/get-potential-start-index';\n\n/**\n * Extracts an XML-tagged reasoning section from the generated text and exposes it\n * as a `reasoning` property on the result.\n *\n * @param tagName - The name of the XML tag to extract reasoning from.\n * @param separator - The separator to use between reasoning and text sections.\n * @param startWithReasoning - Whether to start with reasoning tokens.\n */\nexport function extractReasoningMiddleware({\n  tagName,\n  separator = '\\n',\n  startWithReasoning = false,\n}: {\n  tagName: string;\n  separator?: string;\n  startWithReasoning?: boolean;\n}): LanguageModelMiddleware {\n  const openingTag = `<${tagName}>`;\n  const closingTag = `<\\/${tagName}>`;\n\n  return {\n    specificationVersion: 'v4',\n    wrapGenerate: async ({ doGenerate }) => {\n      const { content, ...rest } = await doGenerate();\n\n      const transformedContent: LanguageModelV4Content[] = [];\n      for (const part of content) {\n        if (part.type !== 'text') {\n          transformedContent.push(part);\n          continue;\n        }\n\n        const text = startWithReasoning ? openingTag + part.text : part.text;\n\n        const regexp = new RegExp(`${openingTag}(.*?)${closingTag}`, 'gs');\n        const matches = Array.from(text.matchAll(regexp));\n\n        if (!matches.length) {\n          transformedContent.push(part);\n          continue;\n        }\n\n        const reasoningText = matches.map(match => match[1]).join(separator);\n\n        let textWithoutReasoning = text;\n        for (let i = matches.length - 1; i >= 0; i--) {\n          const match = matches[i];\n\n          const beforeMatch = textWithoutReasoning.slice(0, match.index);\n          const afterMatch = textWithoutReasoning.slice(\n            match.index! + match[0].length,\n          );\n\n          textWithoutReasoning =\n            beforeMatch +\n            (beforeMatch.length > 0 && afterMatch.length > 0 ? separator : '') +\n            afterMatch;\n        }\n\n        transformedContent.push({\n          type: 'reasoning',\n          text: reasoningText,\n        });\n\n        transformedContent.push({\n          type: 'text',\n          text: textWithoutReasoning,\n        });\n      }\n\n      return { content: transformedContent, ...rest };\n    },\n\n    wrapStream: async ({ doStream }) => {\n      const { stream, ...rest } = await doStream();\n\n      const reasoningExtractions: Record<\n        string,\n        {\n          isFirstReasoning: boolean;\n          isFirstText: boolean;\n          afterSwitch: boolean;\n          isReasoning: boolean;\n          buffer: string;\n          idCounter: number;\n          textId: string;\n        }\n      > = createIdMap();\n\n      let delayedTextStart: LanguageModelV4StreamPart | undefined;\n\n      return {\n        stream: stream.pipeThrough(\n          new TransformStream<\n            LanguageModelV4StreamPart,\n            LanguageModelV4StreamPart\n          >({\n            transform: (chunk, controller) => {\n              // do not send `text-start` before `reasoning-start`\n              // https://github.com/vercel/ai/issues/7774\n              if (chunk.type === 'text-start') {\n                delayedTextStart = chunk;\n                return;\n              }\n\n              if (chunk.type === 'text-end' && delayedTextStart) {\n                controller.enqueue(delayedTextStart);\n                delayedTextStart = undefined;\n              }\n\n              if (chunk.type !== 'text-delta') {\n                controller.enqueue(chunk);\n                return;\n              }\n\n              if (reasoningExtractions[chunk.id] == null) {\n                reasoningExtractions[chunk.id] = {\n                  isFirstReasoning: true,\n                  isFirstText: true,\n                  afterSwitch: false,\n                  isReasoning: startWithReasoning,\n                  buffer: '',\n                  idCounter: 0,\n                  textId: chunk.id,\n                };\n              }\n\n              const activeExtraction = reasoningExtractions[chunk.id];\n\n              activeExtraction.buffer += chunk.delta;\n\n              function publish(text: string) {\n                if (text.length > 0) {\n                  const prefix =\n                    activeExtraction.afterSwitch &&\n                    (activeExtraction.isReasoning\n                      ? !activeExtraction.isFirstReasoning\n                      : !activeExtraction.isFirstText)\n                      ? separator\n                      : '';\n\n                  if (\n                    activeExtraction.isReasoning &&\n                    (activeExtraction.afterSwitch ||\n                      activeExtraction.isFirstReasoning)\n                  ) {\n                    controller.enqueue({\n                      type: 'reasoning-start',\n                      id: `reasoning-${activeExtraction.idCounter}`,\n                    });\n                  }\n\n                  if (activeExtraction.isReasoning) {\n                    controller.enqueue({\n                      type: 'reasoning-delta',\n                      delta: prefix + text,\n                      id: `reasoning-${activeExtraction.idCounter}`,\n                    });\n                  } else {\n                    if (delayedTextStart) {\n                      controller.enqueue(delayedTextStart);\n                      delayedTextStart = undefined;\n                    }\n                    controller.enqueue({\n                      type: 'text-delta',\n                      delta: prefix + text,\n                      id: activeExtraction.textId,\n                    });\n                  }\n                  activeExtraction.afterSwitch = false;\n\n                  if (activeExtraction.isReasoning) {\n                    activeExtraction.isFirstReasoning = false;\n                  } else {\n                    activeExtraction.isFirstText = false;\n                  }\n                }\n              }\n\n              do {\n                const nextTag = activeExtraction.isReasoning\n                  ? closingTag\n                  : openingTag;\n\n                const startIndex = getPotentialStartIndex(\n                  activeExtraction.buffer,\n                  nextTag,\n                );\n\n                // no opening or closing tag found, publish the buffer\n                if (startIndex == null) {\n                  publish(activeExtraction.buffer);\n                  activeExtraction.buffer = '';\n                  break;\n                }\n\n                // publish text before the tag\n                publish(activeExtraction.buffer.slice(0, startIndex));\n\n                const foundFullMatch =\n                  startIndex + nextTag.length <= activeExtraction.buffer.length;\n\n                if (foundFullMatch) {\n                  activeExtraction.buffer = activeExtraction.buffer.slice(\n                    startIndex + nextTag.length,\n                  );\n\n                  if (activeExtraction.isReasoning) {\n                    // Emit reasoning-start for empty reasoning blocks (no delta was published).\n                    // This handles both cases:\n                    // - startWithReasoning=false: <think></think> (afterSwitch=true)\n                    // - startWithReasoning=true: immediate </think> (afterSwitch=false)\n                    if (activeExtraction.isFirstReasoning) {\n                      controller.enqueue({\n                        type: 'reasoning-start',\n                        id: `reasoning-${activeExtraction.idCounter}`,\n                      });\n                    }\n\n                    // reasoning part finished:\n                    controller.enqueue({\n                      type: 'reasoning-end',\n                      id: `reasoning-${activeExtraction.idCounter++}`,\n                    });\n                  }\n\n                  activeExtraction.isReasoning = !activeExtraction.isReasoning;\n                  activeExtraction.afterSwitch = true;\n                } else {\n                  activeExtraction.buffer =\n                    activeExtraction.buffer.slice(startIndex);\n                  break;\n                }\n              } while (true);\n            },\n          }),\n        ),\n        ...rest,\n      };\n    },\n  };\n}\n", "import type { LanguageModelV4StreamPart } from '@ai-sdk/provider';\nimport type { LanguageModelMiddleware } from '../types';\n\n/**\n * Simulates streaming chunks with the response from a generate call.\n */\nexport function simulateStreamingMiddleware(): LanguageModelMiddleware {\n  return {\n    specificationVersion: 'v4',\n    wrapStream: async ({ doGenerate }) => {\n      const result = await doGenerate();\n\n      let id = 0;\n\n      const simulatedStream = new ReadableStream<LanguageModelV4StreamPart>({\n        start(controller) {\n          controller.enqueue({\n            type: 'stream-start',\n            warnings: result.warnings,\n          });\n\n          controller.enqueue({ type: 'response-metadata', ...result.response });\n\n          for (const part of result.content) {\n            switch (part.type) {\n              case 'text': {\n                if (part.text.length > 0) {\n                  controller.enqueue({ type: 'text-start', id: String(id) });\n                  controller.enqueue({\n                    type: 'text-delta',\n                    id: String(id),\n                    delta: part.text,\n                  });\n                  controller.enqueue({ type: 'text-end', id: String(id) });\n                  id++;\n                }\n                break;\n              }\n              case 'reasoning': {\n                controller.enqueue({\n                  type: 'reasoning-start',\n                  id: String(id),\n                  providerMetadata: part.providerMetadata,\n                });\n                controller.enqueue({\n                  type: 'reasoning-delta',\n                  id: String(id),\n                  delta: part.text,\n                });\n                controller.enqueue({ type: 'reasoning-end', id: String(id) });\n                id++;\n                break;\n              }\n              default: {\n                controller.enqueue(part);\n                break;\n              }\n            }\n          }\n\n          controller.enqueue({\n            type: 'finish',\n            finishReason: result.finishReason,\n            usage: result.usage,\n            providerMetadata: result.providerMetadata,\n          });\n\n          controller.close();\n        },\n      });\n\n      return {\n        stream: simulatedStream,\n        request: result.request,\n        response: result.response,\n      };\n    },\n  };\n}\n", "import type { JSONObject, LanguageModelV4FunctionTool } from '@ai-sdk/provider';\nimport type { LanguageModelMiddleware } from '../types';\n\nfunction defaultFormatExample(example: { input: JSONObject }): string {\n  return JSON.stringify(example.input);\n}\n\n/**\n * Middleware that appends input examples to tool descriptions.\n *\n * This is useful for providers that don't natively support the `inputExamples`\n * property. The middleware serializes examples into the tool's description text.\n *\n * @param options - Configuration options for the middleware.\n * @param options.prefix - A prefix to prepend before the examples. Default: 'Input Examples:'\n * @param options.format - Optional custom formatter for each example.\n *   Receives the example object and its index. Default: JSON.stringify(example.input)\n * @param options.remove - Whether to remove the inputExamples property\n *   after adding them to the description. Default: true\n *\n * @example\n * ```ts\n * import { wrapLanguageModel, addToolInputExamplesMiddleware } from 'ai';\n *\n * const model = wrapLanguageModel({\n *   model: yourModel,\n *   middleware: addToolInputExamplesMiddleware(),\n * });\n * ```\n */\nexport function addToolInputExamplesMiddleware({\n  prefix = 'Input Examples:',\n  format = defaultFormatExample,\n  remove = true,\n}: {\n  /**\n   * A prefix to prepend before the examples.\n   */\n  prefix?: string;\n\n  /**\n   * Optional custom formatter for each example.\n   * Receives the example object and its index.\n   * Default: JSON.stringify(example.input)\n   */\n  format?: (example: { input: JSONObject }, index: number) => string;\n\n  /**\n   * Whether to remove the inputExamples property after adding them to the description.\n   * Default: true\n   */\n  remove?: boolean;\n} = {}): LanguageModelMiddleware {\n  return {\n    specificationVersion: 'v4',\n    transformParams: async ({ params }) => {\n      if (!params.tools?.length) {\n        return params;\n      }\n\n      const transformedTools = params.tools.map(tool => {\n        // Only transform function tools that have inputExamples\n        if (tool.type !== 'function' || !tool.inputExamples?.length) {\n          return tool;\n        }\n\n        const formattedExamples = tool.inputExamples\n          .map((example, index) => format(example, index))\n          .join('\\n');\n\n        const examplesSection = `${prefix}\\n${formattedExamples}`;\n\n        const toolDescription = tool.description\n          ? `${tool.description}\\n\\n${examplesSection}`\n          : examplesSection;\n\n        return {\n          ...tool,\n          description: toolDescription,\n          inputExamples: remove ? undefined : tool.inputExamples,\n        } satisfies LanguageModelV4FunctionTool;\n      });\n\n      return {\n        ...params,\n        tools: transformedTools,\n      };\n    },\n  };\n}\n", "import type {\n  LanguageModelV2,\n  LanguageModelV3,\n  LanguageModelV4,\n  LanguageModelV4CallOptions,\n  LanguageModelV4GenerateResult,\n  LanguageModelV4StreamResult,\n} from '@ai-sdk/provider';\nimport { asArray } from '@ai-sdk/provider-utils';\nimport { asLanguageModelV4 } from '../model/as-language-model-v4';\nimport type { LanguageModelMiddleware } from '../types';\n\n/**\n * Wraps a LanguageModelV4 instance with middleware functionality.\n * This function allows you to apply middleware to transform parameters,\n * wrap generate operations, and wrap stream operations of a language model.\n *\n * @param options - Configuration options for wrapping the language model.\n * @param options.model - The original LanguageModelV4 instance to be wrapped.\n * @param options.middleware - The middleware to be applied to the language model. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @param options.modelId - Optional custom model ID to override the original model's ID.\n * @param options.providerId - Optional custom provider ID to override the original model's provider ID.\n * @returns A new LanguageModelV4 instance with middleware applied.\n */\nexport const wrapLanguageModel = ({\n  model: inputModel,\n  middleware: middlewareArg,\n  modelId,\n  providerId,\n}: {\n  model: LanguageModelV2 | LanguageModelV3 | LanguageModelV4;\n  middleware: LanguageModelMiddleware | LanguageModelMiddleware[];\n  modelId?: string;\n  providerId?: string;\n}): LanguageModelV4 => {\n  const model = asLanguageModelV4(inputModel);\n  return [...asArray(middlewareArg)]\n    .reverse()\n    .reduce((wrappedModel, middleware) => {\n      return doWrap({ model: wrappedModel, middleware, modelId, providerId });\n    }, model);\n};\n\nconst doWrap = ({\n  model,\n  middleware: {\n    transformParams,\n    wrapGenerate,\n    wrapStream,\n    overrideProvider,\n    overrideModelId,\n    overrideSupportedUrls,\n  },\n  modelId,\n  providerId,\n}: {\n  model: LanguageModelV4;\n  middleware: LanguageModelMiddleware;\n  modelId?: string;\n  providerId?: string;\n}): LanguageModelV4 => {\n  async function doTransform({\n    params,\n    type,\n  }: {\n    params: LanguageModelV4CallOptions;\n    type: 'generate' | 'stream';\n  }) {\n    return transformParams\n      ? await transformParams({ params, type, model })\n      : params;\n  }\n\n  return {\n    specificationVersion: 'v4',\n\n    provider: providerId ?? overrideProvider?.({ model }) ?? model.provider,\n    modelId: modelId ?? overrideModelId?.({ model }) ?? model.modelId,\n    supportedUrls: overrideSupportedUrls?.({ model }) ?? model.supportedUrls,\n\n    async doGenerate(\n      params: LanguageModelV4CallOptions,\n    ): Promise<LanguageModelV4GenerateResult> {\n      const transformedParams = await doTransform({ params, type: 'generate' });\n      const doGenerate = async () => await model.doGenerate(transformedParams);\n      const doStream = async () => await model.doStream(transformedParams);\n      return wrapGenerate\n        ? await wrapGenerate({\n            doGenerate,\n            doStream,\n            params: transformedParams,\n            model,\n          })\n        : await doGenerate();\n    },\n\n    async doStream(\n      params: LanguageModelV4CallOptions,\n    ): Promise<LanguageModelV4StreamResult> {\n      const transformedParams = await doTransform({ params, type: 'stream' });\n      const doGenerate = async () => await model.doGenerate(transformedParams);\n      const doStream = async () => await model.doStream(transformedParams);\n      return wrapStream\n        ? await wrapStream({\n            doGenerate,\n            doStream,\n            params: transformedParams,\n            model,\n          })\n        : await doStream();\n    },\n  };\n};\n", "import type {\n  EmbeddingModelV3,\n  EmbeddingModelV4,\n  EmbeddingModelV4CallOptions,\n  EmbeddingModelV4Result,\n} from '@ai-sdk/provider';\nimport { asArray } from '@ai-sdk/provider-utils';\nimport { asEmbeddingModelV4 } from '../model/as-embedding-model-v4';\nimport type { EmbeddingModelMiddleware } from '../types';\n\n/**\n * Wraps an EmbeddingModelV4 instance with middleware functionality.\n * This function allows you to apply middleware to transform parameters,\n * wrap embed operations of an embedding model.\n *\n * @param options - Configuration options for wrapping the embedding model.\n * @param options.model - The original EmbeddingModelV4 instance to be wrapped.\n * @param options.middleware - The middleware to be applied to the embedding model. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @param options.modelId - Optional custom model ID to override the original model's ID.\n * @param options.providerId - Optional custom provider ID to override the original model's provider ID.\n * @returns A new EmbeddingModelV4 instance with middleware applied.\n */\nexport const wrapEmbeddingModel = ({\n  model: inputModel,\n  middleware: middlewareArg,\n  modelId,\n  providerId,\n}: {\n  model: EmbeddingModelV3 | EmbeddingModelV4;\n  middleware: EmbeddingModelMiddleware | EmbeddingModelMiddleware[];\n  modelId?: string;\n  providerId?: string;\n}): EmbeddingModelV4 => {\n  const model = asEmbeddingModelV4(inputModel);\n  return [...asArray(middlewareArg)]\n    .reverse()\n    .reduce((wrappedModel, middleware) => {\n      return doWrap({ model: wrappedModel, middleware, modelId, providerId });\n    }, model);\n};\n\nconst doWrap = ({\n  model,\n  middleware: {\n    transformParams,\n    wrapEmbed,\n    overrideProvider,\n    overrideModelId,\n    overrideMaxEmbeddingsPerCall,\n    overrideSupportsParallelCalls,\n  },\n  modelId,\n  providerId,\n}: {\n  model: EmbeddingModelV4;\n  middleware: EmbeddingModelMiddleware;\n  modelId?: string;\n  providerId?: string;\n}): EmbeddingModelV4 => {\n  async function doTransform({\n    params,\n  }: {\n    params: EmbeddingModelV4CallOptions;\n  }) {\n    return transformParams ? await transformParams({ params, model }) : params;\n  }\n\n  return {\n    specificationVersion: 'v4',\n    provider: providerId ?? overrideProvider?.({ model }) ?? model.provider,\n    modelId: modelId ?? overrideModelId?.({ model }) ?? model.modelId,\n    maxEmbeddingsPerCall:\n      overrideMaxEmbeddingsPerCall?.({ model }) ?? model.maxEmbeddingsPerCall,\n    supportsParallelCalls:\n      overrideSupportsParallelCalls?.({ model }) ?? model.supportsParallelCalls,\n    async doEmbed(\n      params: EmbeddingModelV4CallOptions,\n    ): Promise<EmbeddingModelV4Result> {\n      const transformedParams = await doTransform({ params });\n      const doEmbed = async () => await model.doEmbed(transformedParams);\n      return wrapEmbed\n        ? await wrapEmbed({\n            doEmbed,\n            params: transformedParams,\n            model,\n          })\n        : await doEmbed();\n    },\n  };\n};\n", "import type {\n  ImageModelV2,\n  ImageModelV3,\n  ImageModelV4,\n  ImageModelV4CallOptions,\n  ImageModelV4Result,\n} from '@ai-sdk/provider';\nimport { asArray } from '@ai-sdk/provider-utils';\nimport { asImageModelV4 } from '../model/as-image-model-v4';\nimport type { ImageModelMiddleware } from '../types';\n\n/**\n * Wraps an ImageModelV4 instance with middleware functionality.\n * This function allows you to apply middleware to transform parameters\n * and wrap generate operations of an image model.\n *\n * @param options - Configuration options for wrapping the image model.\n * @param options.model - The original ImageModelV4 instance to be wrapped.\n * @param options.middleware - The middleware to be applied to the image model. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @param options.modelId - Optional custom model ID to override the original model's ID.\n * @param options.providerId - Optional custom provider ID to override the original model's provider ID.\n * @returns A new ImageModelV4 instance with middleware applied.\n */\nexport const wrapImageModel = ({\n  model: inputModel,\n  middleware: middlewareArg,\n  modelId,\n  providerId,\n}: {\n  model: ImageModelV2 | ImageModelV3 | ImageModelV4;\n  middleware: ImageModelMiddleware | ImageModelMiddleware[];\n  modelId?: string;\n  providerId?: string;\n}): ImageModelV4 => {\n  const model = asImageModelV4(inputModel);\n  return [...asArray(middlewareArg)]\n    .reverse()\n    .reduce((wrappedModel, middleware) => {\n      return doWrap({ model: wrappedModel, middleware, modelId, providerId });\n    }, model);\n};\n\nconst doWrap = ({\n  model,\n  middleware: {\n    transformParams,\n    wrapGenerate,\n    overrideProvider,\n    overrideModelId,\n    overrideMaxImagesPerCall,\n  },\n  modelId,\n  providerId,\n}: {\n  model: ImageModelV4;\n  middleware: ImageModelMiddleware;\n  modelId?: string;\n  providerId?: string;\n}): ImageModelV4 => {\n  async function doTransform({ params }: { params: ImageModelV4CallOptions }) {\n    return transformParams ? await transformParams({ params, model }) : params;\n  }\n\n  const maxImagesPerCallRaw =\n    overrideMaxImagesPerCall?.({ model }) ?? model.maxImagesPerCall;\n\n  // Ensure provider implementations that rely on `this` inside `maxImagesPerCall`\n  // keep working after the value is copied onto the wrapper object.\n  const maxImagesPerCall =\n    maxImagesPerCallRaw instanceof Function\n      ? maxImagesPerCallRaw.bind(model)\n      : maxImagesPerCallRaw;\n\n  return {\n    specificationVersion: 'v4',\n    provider: providerId ?? overrideProvider?.({ model }) ?? model.provider,\n    modelId: modelId ?? overrideModelId?.({ model }) ?? model.modelId,\n    maxImagesPerCall,\n    async doGenerate(\n      params: ImageModelV4CallOptions,\n    ): Promise<ImageModelV4Result> {\n      const transformedParams = await doTransform({ params });\n      const doGenerate = async () => await model.doGenerate(transformedParams);\n      return wrapGenerate\n        ? await wrapGenerate({\n            doGenerate,\n            params: transformedParams,\n            model,\n          })\n        : await doGenerate();\n    },\n  };\n};\n", "import type { ProviderV2, ProviderV3, ProviderV4 } from '@ai-sdk/provider';\nimport type { ImageModelMiddleware } from '../types/image-model-middleware';\nimport type { LanguageModelMiddleware } from '../types/language-model-middleware';\nimport { wrapImageModel } from './wrap-image-model';\nimport { wrapLanguageModel } from './wrap-language-model';\nimport { asProviderV4 } from '../model/as-provider-v4';\n\n/**\n * Wraps a ProviderV4 instance with middleware functionality.\n * This function allows you to apply middleware to all language models\n * from the provider, enabling you to transform parameters, wrap generate\n * operations, and wrap stream operations for every language model.\n *\n * @param options - Configuration options for wrapping the provider.\n * @param options.provider - The original ProviderV4 instance to be wrapped.\n * @param options.languageModelMiddleware - The middleware to be applied to all language models from the provider. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @param options.imageModelMiddleware - Optional middleware to be applied to all image models from the provider. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @returns A new ProviderV4 instance with middleware applied to all language models.\n */\nexport function wrapProvider({\n  provider,\n  languageModelMiddleware,\n  imageModelMiddleware,\n}: {\n  provider: ProviderV4 | ProviderV3 | ProviderV2;\n  languageModelMiddleware: LanguageModelMiddleware | LanguageModelMiddleware[];\n  imageModelMiddleware?: ImageModelMiddleware | ImageModelMiddleware[];\n}): ProviderV4 {\n  const providerV4 = asProviderV4(provider);\n  return {\n    specificationVersion: 'v4',\n    languageModel: (modelId: string) =>\n      wrapLanguageModel({\n        model: providerV4.languageModel(modelId),\n        middleware: languageModelMiddleware,\n      }),\n    embeddingModel: providerV4.embeddingModel,\n    imageModel: (modelId: string) => {\n      let model = providerV4.imageModel(modelId);\n\n      if (imageModelMiddleware != null) {\n        model = wrapImageModel({ model, middleware: imageModelMiddleware });\n      }\n\n      return model;\n    },\n    transcriptionModel: providerV4.transcriptionModel,\n    speechModel: providerV4.speechModel,\n    rerankingModel: providerV4.rerankingModel,\n  };\n}\n", "/**\n * Converts Float32 audio samples to a base64-encoded PCM16 string\n * for sending to a realtime model via input_audio_buffer.append.\n *\n * Samples are expected to be in the range [-1.0, 1.0].\n * Output is 16-bit signed integer, little-endian, base64-encoded.\n */\nexport function encodeRealtimeAudio(float32Array: Float32Array): string {\n  const buffer = new ArrayBuffer(float32Array.length * 2);\n  const view = new DataView(buffer);\n\n  for (let i = 0; i < float32Array.length; i++) {\n    const s = Math.max(-1, Math.min(1, float32Array[i]));\n    view.setInt16(i * 2, s < 0 ? s * 0x8000 : s * 0x7fff, true);\n  }\n\n  const bytes = new Uint8Array(buffer);\n  const chunkSize = 0x8000;\n  let binary = '';\n  for (let i = 0; i < bytes.length; i += chunkSize) {\n    const chunk = bytes.subarray(i, i + chunkSize);\n    binary += String.fromCharCode(...chunk);\n  }\n  return btoa(binary);\n}\n\n/**\n * Converts a base64-encoded PCM16 string (from a realtime model's\n * audio-delta event) back to Float32 audio samples.\n *\n * Input is expected to be 16-bit signed integer, little-endian, base64-encoded.\n * Output samples are in the range [-1.0, 1.0].\n */\nexport function decodeRealtimeAudio(base64Audio: string): Float32Array {\n  const binaryString = atob(base64Audio);\n  const bytes = new Uint8Array(binaryString.length);\n  for (let i = 0; i < binaryString.length; i++) {\n    bytes[i] = binaryString.charCodeAt(i);\n  }\n\n  const pcm16 = new Int16Array(bytes.buffer);\n  const float32 = new Float32Array(pcm16.length);\n  for (let i = 0; i < pcm16.length; i++) {\n    float32[i] = pcm16[i] / 32768.0;\n  }\n  return float32;\n}\n\n/**\n * Resamples audio from one sample rate to another using linear\n * interpolation. Suitable for voice audio.\n *\n * @param input - Float32 audio samples at the input sample rate.\n * @param inputRate - The sample rate of the input audio (e.g. 48000).\n * @param outputRate - The desired output sample rate (e.g. 24000).\n * @returns Float32 audio samples at the output sample rate.\n */\nexport function resampleAudio(\n  input: Float32Array,\n  inputRate: number,\n  outputRate: number,\n): Float32Array {\n  if (inputRate === outputRate) {\n    return input;\n  }\n\n  const ratio = inputRate / outputRate;\n  const outputLength = Math.round(input.length / ratio);\n  const output = new Float32Array(outputLength);\n\n  for (let i = 0; i < outputLength; i++) {\n    const srcIndex = i * ratio;\n    const srcIndexFloor = Math.floor(srcIndex);\n    const srcIndexCeil = Math.min(srcIndexFloor + 1, input.length - 1);\n    const fraction = srcIndex - srcIndexFloor;\n\n    output[i] =\n      input[srcIndexFloor] * (1 - fraction) + input[srcIndexCeil] * fraction;\n  }\n\n  return output;\n}\n", "import {\n  asSchema,\n  type InferToolSetContext,\n  type Tool,\n  type ToolSet,\n} from '@ai-sdk/provider-utils';\nimport type { RealtimeToolDefinition } from '../types/realtime-model';\n\nexport async function getRealtimeToolDefinitions<TOOLS extends ToolSet>({\n  tools,\n  toolsContext = {} as InferToolSetContext<TOOLS>,\n}: {\n  tools: TOOLS;\n  toolsContext?: InferToolSetContext<TOOLS>;\n}): Promise<RealtimeToolDefinition[]> {\n  const definitions: RealtimeToolDefinition[] = [];\n\n  for (const [name, tool] of Object.entries(tools)) {\n    const toolType = tool.type;\n\n    switch (toolType) {\n      case undefined:\n      case 'function':\n      case 'dynamic': {\n        const description = resolveRealtimeToolDescription({\n          tool,\n          toolName: name,\n          toolsContext,\n        });\n        definitions.push({\n          type: 'function',\n          name,\n          description,\n          parameters: await asSchema(tool.inputSchema).jsonSchema,\n        });\n        break;\n      }\n      case 'provider':\n        break;\n      default: {\n        const exhaustiveCheck: never = toolType as never;\n        throw new Error(`Unsupported tool type: ${exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return definitions;\n}\n\nfunction resolveRealtimeToolDescription<TOOLS extends ToolSet>({\n  tool,\n  toolName,\n  toolsContext,\n}: {\n  tool: Tool;\n  toolName: string;\n  toolsContext: InferToolSetContext<TOOLS>;\n}): string | undefined {\n  return tool.description === undefined\n    ? undefined\n    : typeof tool.description === 'string'\n      ? tool.description\n      : tool.description({\n          context: toolsContext[toolName as keyof InferToolSetContext<TOOLS>],\n        });\n}\n", "import {\n  decodeRealtimeAudio,\n  encodeRealtimeAudio,\n  resampleAudio,\n} from './audio-utils';\n\nexport type BrowserRealtimeAudioOptions = {\n  captureSampleRate: number;\n  playbackSampleRate: number;\n  onAudio: (base64Audio: string) => void;\n  onPlayingChange: (isPlaying: boolean) => void;\n  onCapturingChange: (isCapturing: boolean) => void;\n};\n\nexport class BrowserRealtimeAudio {\n  private readonly captureSampleRate: number;\n  private readonly playbackSampleRate: number;\n  private readonly onAudio: BrowserRealtimeAudioOptions['onAudio'];\n  private readonly onPlayingChange: BrowserRealtimeAudioOptions['onPlayingChange'];\n  private readonly onCapturingChange: BrowserRealtimeAudioOptions['onCapturingChange'];\n\n  private captureContext: AudioContext | null = null;\n  private captureProcessor: ScriptProcessorNode | null = null;\n  private captureSource: MediaStreamAudioSourceNode | null = null;\n  private captureStream: MediaStream | null = null;\n\n  private playbackContext: AudioContext | null = null;\n  private playbackQueue: Float32Array[] = [];\n  private playbackTime = 0;\n  private playbackStartTime = 0;\n  private activeSources = new Set<AudioBufferSourceNode>();\n  private isPlaying = false;\n\n  constructor(options: BrowserRealtimeAudioOptions) {\n    this.captureSampleRate = options.captureSampleRate;\n    this.playbackSampleRate = options.playbackSampleRate;\n    this.onAudio = options.onAudio;\n    this.onPlayingChange = options.onPlayingChange;\n    this.onCapturingChange = options.onCapturingChange;\n  }\n\n  ensurePlaybackContext(): void {\n    if (this.playbackContext == null) {\n      this.playbackContext = new AudioContext({\n        sampleRate: this.playbackSampleRate,\n      });\n    }\n  }\n\n  startCapture(stream: MediaStream): void {\n    const ctx = new AudioContext({ sampleRate: this.captureSampleRate });\n    this.captureContext = ctx;\n    this.captureStream = stream;\n\n    const source = ctx.createMediaStreamSource(stream);\n    this.captureSource = source;\n\n    const processor = ctx.createScriptProcessor(4096, 1, 1);\n    this.captureProcessor = processor;\n\n    processor.onaudioprocess = event => {\n      const inputData = event.inputBuffer.getChannelData(0);\n      const samples = resampleAudio(\n        new Float32Array(inputData),\n        ctx.sampleRate,\n        this.captureSampleRate,\n      );\n      this.onAudio(encodeRealtimeAudio(samples));\n    };\n\n    source.connect(processor);\n    processor.connect(ctx.destination);\n    this.onCapturingChange(true);\n  }\n\n  stopCapture(): void {\n    this.captureProcessor?.disconnect();\n    this.captureSource?.disconnect();\n    void this.captureContext?.close();\n    this.captureStream?.getTracks().forEach(track => track.stop());\n\n    this.captureProcessor = null;\n    this.captureSource = null;\n    this.captureContext = null;\n    this.captureStream = null;\n    this.onCapturingChange(false);\n  }\n\n  playAudio(base64Audio: string): void {\n    this.ensurePlaybackContext();\n    this.playbackQueue.push(decodeRealtimeAudio(base64Audio));\n    this.schedulePlayback();\n  }\n\n  stopPlayback(): void {\n    this.playbackQueue = [];\n\n    for (const source of this.activeSources) {\n      try {\n        source.stop();\n      } catch {\n        // Source may already be stopped by the browser.\n      }\n    }\n    this.activeSources.clear();\n\n    if (this.playbackContext != null) {\n      this.playbackTime = this.playbackContext.currentTime;\n    }\n    this.setPlaying(false);\n  }\n\n  getPlaybackOffsetMs(): number {\n    const ctx = this.playbackContext;\n    if (ctx == null) return 0;\n    return (ctx.currentTime - this.playbackStartTime) * 1000;\n  }\n\n  dispose(): void {\n    this.stopCapture();\n    this.stopPlayback();\n    void this.playbackContext?.close();\n    this.playbackContext = null;\n  }\n\n  private setPlaying(isPlaying: boolean): void {\n    if (isPlaying && !this.isPlaying) {\n      this.playbackStartTime = this.playbackContext?.currentTime ?? 0;\n    }\n    if (this.isPlaying !== isPlaying) {\n      this.isPlaying = isPlaying;\n      this.onPlayingChange(isPlaying);\n    }\n  }\n\n  private schedulePlayback(): void {\n    const ctx = this.playbackContext;\n    if (ctx == null || this.playbackQueue.length === 0) return;\n\n    while (this.playbackQueue.length > 0) {\n      const samples = this.playbackQueue.shift()!;\n      const buffer = ctx.createBuffer(\n        1,\n        samples.length,\n        this.playbackSampleRate,\n      );\n      buffer.getChannelData(0).set(samples);\n\n      const source = ctx.createBufferSource();\n      source.buffer = buffer;\n      source.connect(ctx.destination);\n\n      const startTime = Math.max(this.playbackTime, ctx.currentTime);\n      source.start(startTime);\n      this.playbackTime = startTime + buffer.duration;\n\n      this.activeSources.add(source);\n      this.setPlaying(true);\n\n      source.onended = () => {\n        this.activeSources.delete(source);\n        if (this.playbackQueue.length === 0 && this.activeSources.size === 0) {\n          this.setPlaying(false);\n        }\n      };\n    }\n  }\n}\n", "import { safeParseJSON } from '@ai-sdk/provider-utils';\nimport type {\n  RealtimeClientEvent,\n  RealtimeModel,\n  RealtimeServerEvent,\n} from '../types/realtime-model';\n\nexport type BrowserRealtimeTransportOptions = {\n  model: RealtimeModel;\n  onServerEvent: (event: RealtimeServerEvent) => void | Promise<void>;\n  onError: (error: Error) => void;\n  onClose: () => void;\n};\n\nexport class BrowserRealtimeTransport {\n  private readonly model: RealtimeModel;\n  private readonly onServerEvent: BrowserRealtimeTransportOptions['onServerEvent'];\n  private readonly onError: BrowserRealtimeTransportOptions['onError'];\n  private readonly onClose: BrowserRealtimeTransportOptions['onClose'];\n  private ws: WebSocket | null = null;\n  private sendQueue: Promise<void> = Promise.resolve();\n\n  constructor(options: BrowserRealtimeTransportOptions) {\n    this.model = options.model;\n    this.onServerEvent = options.onServerEvent;\n    this.onError = options.onError;\n    this.onClose = options.onClose;\n  }\n\n  connect({\n    token,\n    url,\n    onOpen,\n  }: {\n    token: string;\n    url: string;\n    onOpen: () => void;\n  }): void {\n    this.ws?.close();\n    this.ws = null;\n\n    const wsConfig = this.model.getWebSocketConfig({ token, url });\n    const ws = new WebSocket(wsConfig.url, wsConfig.protocols);\n\n    // Track the socket immediately (not just in `onopen`) so that calling\n    // `disconnect()` while it is still connecting actually closes it. Otherwise\n    // `close()` would be a no-op and the socket could open afterwards and fire\n    // the `onOpen` (session-update) callback against a disconnected session.\n    this.ws = ws;\n\n    ws.onopen = () => {\n      // Ignore a late open for a socket that has since been replaced/closed.\n      if (this.ws !== ws) return;\n      onOpen();\n    };\n\n    ws.onmessage = messageEvent => {\n      void this.handleMessage(messageEvent);\n    };\n\n    ws.onerror = () => {\n      this.onError(new Error('WebSocket connection error'));\n    };\n\n    ws.onclose = () => {\n      if (this.ws === ws) {\n        this.ws = null;\n        this.onClose();\n      }\n    };\n  }\n\n  disconnect(): void {\n    this.ws?.close();\n    this.ws = null;\n  }\n\n  sendEvent(event: RealtimeClientEvent): void {\n    this.sendQueue = this.sendQueue\n      .then(async () => {\n        const serialized = await this.model.serializeClientEvent(event);\n        if (serialized != null) {\n          this.sendRaw(serialized);\n        }\n      })\n      .catch(error => {\n        this.onError(\n          error instanceof Error\n            ? error\n            : new Error(`Failed to send realtime event: ${String(error)}`),\n        );\n      });\n  }\n\n  sendRaw(data: unknown): void {\n    if (this.ws?.readyState === WebSocket.OPEN) {\n      if (\n        typeof data === 'string' ||\n        data instanceof ArrayBuffer ||\n        ArrayBuffer.isView(data) ||\n        data instanceof Blob\n      ) {\n        this.ws.send(data);\n      } else {\n        this.ws.send(JSON.stringify(data));\n      }\n    }\n  }\n\n  dispose(): void {\n    this.disconnect();\n  }\n\n  private async handleMessage(messageEvent: MessageEvent): Promise<void> {\n    let text: string;\n    if (typeof messageEvent.data === 'string') {\n      text = messageEvent.data;\n    } else if (messageEvent.data instanceof Blob) {\n      text = await messageEvent.data.text();\n    } else {\n      text = new TextDecoder().decode(messageEvent.data);\n    }\n\n    const parseResult = await safeParseJSON({ text });\n    if (!parseResult.success) return;\n\n    const rawEvent = parseResult.value;\n\n    if (this.model.getHealthCheckResponse != null) {\n      const autoResponse = this.model.getHealthCheckResponse(rawEvent);\n      if (autoResponse != null) {\n        this.sendRaw(autoResponse);\n      }\n    }\n\n    const result = this.model.parseServerEvent(rawEvent);\n    const events = Array.isArray(result) ? result : [result];\n\n    for (const event of events) {\n      await this.onServerEvent(event);\n    }\n  }\n}\n", "import { safeParseJSON } from '@ai-sdk/provider-utils';\nimport type { RealtimeServerEvent } from '../types/realtime-model';\nimport type {\n  DynamicToolUIPart,\n  TextUIPart,\n  UIMessage,\n} from '../ui/ui-messages';\n\nexport type RealtimeStatus =\n  | 'disconnected'\n  | 'connecting'\n  | 'connected'\n  | 'error';\n\nexport interface RealtimeState {\n  status: RealtimeStatus;\n  messages: UIMessage[];\n  events: RealtimeServerEvent[];\n  isCapturing: boolean;\n  isPlaying: boolean;\n}\n\nexport type RealtimeReducerEffect =\n  | {\n      type: 'play-audio';\n      itemId: string;\n      delta: string;\n    }\n  | {\n      type: 'speech-started';\n    }\n  | {\n      type: 'tool-call';\n      callId: string;\n      name: string;\n      args: Record<string, unknown>;\n      rawArguments: string;\n    }\n  | {\n      type: 'error';\n      error: Error;\n    };\n\nexport type RealtimeToolOutput = {\n  callId: string;\n  name?: string;\n  output: string;\n};\n\nexport function createInitialRealtimeState(): RealtimeState {\n  return {\n    status: 'disconnected',\n    messages: [],\n    events: [],\n    isCapturing: false,\n    isPlaying: false,\n  };\n}\n\nexport class RealtimeEventReducer {\n  private currentAssistantMessageId: string | null = null;\n  private textAccumulators = new Map<string, string>();\n  private toolArgAccumulators = new Map<string, string>();\n  private toolCallIdToMessageId = new Map<string, string>();\n  private toolCallIdToName = new Map<string, string>();\n  private inputAudioMessageInsertIndex = new Map<string, number>();\n  private itemIdToPartLocation = new Map<\n    string,\n    { messageId: string; partIndex: number }\n  >();\n\n  constructor(private readonly maxEvents = 500) {}\n\n  setStatus(state: RealtimeState, status: RealtimeStatus): RealtimeState {\n    return { ...state, status };\n  }\n\n  setCapturing(state: RealtimeState, isCapturing: boolean): RealtimeState {\n    return { ...state, isCapturing };\n  }\n\n  setPlaying(state: RealtimeState, isPlaying: boolean): RealtimeState {\n    return { ...state, isPlaying };\n  }\n\n  addUserTextMessage(state: RealtimeState, text: string): RealtimeState {\n    return {\n      ...state,\n      messages: [\n        ...state.messages,\n        {\n          id: `user-${Date.now()}`,\n          role: 'user',\n          parts: [{ type: 'text', text, state: 'done' } as TextUIPart],\n        },\n      ],\n    };\n  }\n\n  addToolOutput(\n    state: RealtimeState,\n    callId: string,\n    result: unknown,\n  ): { state: RealtimeState; output: RealtimeToolOutput } {\n    return {\n      state: this.updateToolPartState(state, callId, result),\n      output: {\n        callId,\n        name: this.toolCallIdToName.get(callId),\n        output: JSON.stringify(result),\n      },\n    };\n  }\n\n  async reduceServerEvent(\n    state: RealtimeState,\n    event: RealtimeServerEvent,\n  ): Promise<{ state: RealtimeState; effects: RealtimeReducerEffect[] }> {\n    let nextState = this.pushEvent(state, event);\n    const effects: RealtimeReducerEffect[] = [];\n\n    switch (event.type) {\n      case 'session-created':\n      case 'session-updated': {\n        if (nextState.status === 'connecting') {\n          nextState = this.setStatus(nextState, 'connected');\n        }\n        break;\n      }\n\n      case 'audio-delta': {\n        effects.push({\n          type: 'play-audio',\n          itemId: event.itemId,\n          delta: event.delta,\n        });\n        break;\n      }\n\n      case 'audio-committed': {\n        if (event.itemId != null) {\n          this.inputAudioMessageInsertIndex.set(\n            event.itemId,\n            nextState.messages.length,\n          );\n        }\n        break;\n      }\n\n      case 'audio-transcript-delta':\n      case 'text-delta': {\n        nextState = this.appendTextDelta(nextState, event.itemId, event.delta);\n        break;\n      }\n\n      case 'audio-transcript-done': {\n        nextState = this.finalizeText(\n          nextState,\n          event.itemId,\n          event.transcript,\n        );\n        break;\n      }\n\n      case 'text-done': {\n        nextState = this.finalizeText(nextState, event.itemId, event.text);\n        break;\n      }\n\n      case 'input-transcription-completed': {\n        nextState = this.addInputTranscriptionMessage(\n          nextState,\n          event.itemId,\n          event.transcript,\n        );\n        break;\n      }\n\n      case 'response-created':\n      case 'response-done': {\n        this.currentAssistantMessageId = null;\n        break;\n      }\n\n      case 'speech-started': {\n        this.currentAssistantMessageId = null;\n        effects.push({ type: 'speech-started' });\n        break;\n      }\n\n      case 'function-call-arguments-delta': {\n        const { state: updatedState, messageId } =\n          this.getOrCreateAssistantMessage(nextState);\n        nextState = updatedState;\n        this.toolCallIdToMessageId.set(event.callId, messageId);\n\n        const acc = this.toolArgAccumulators.get(event.callId) ?? '';\n        this.toolArgAccumulators.set(event.callId, acc + event.delta);\n\n        nextState = this.ensureToolPart(nextState, messageId, event.callId);\n        break;\n      }\n\n      case 'function-call-arguments-done': {\n        this.toolArgAccumulators.delete(event.callId);\n        this.toolCallIdToName.set(event.callId, event.name);\n\n        const parseResult = await safeParseJSON({ text: event.arguments });\n        const parsedInput = parseResult.success\n          ? (parseResult.value as Record<string, unknown>)\n          : {};\n\n        const messageId = this.toolCallIdToMessageId.get(event.callId);\n        if (messageId != null) {\n          nextState = this.markToolInputAvailable(\n            nextState,\n            messageId,\n            event.callId,\n            event.name,\n            parsedInput,\n          );\n        }\n\n        if (!parseResult.success) {\n          effects.push({\n            type: 'error',\n            error: new Error(\n              `Failed to parse tool arguments: ${event.arguments}`,\n            ),\n          });\n        } else {\n          effects.push({\n            type: 'tool-call',\n            callId: event.callId,\n            name: event.name,\n            args: parsedInput,\n            rawArguments: event.arguments,\n          });\n        }\n        break;\n      }\n\n      case 'error': {\n        effects.push({ type: 'error', error: new Error(event.message) });\n        break;\n      }\n    }\n\n    return { state: nextState, effects };\n  }\n\n  private pushEvent(\n    state: RealtimeState,\n    event: RealtimeServerEvent,\n  ): RealtimeState {\n    const events = [...state.events, event];\n    return {\n      ...state,\n      events:\n        events.length > this.maxEvents ? events.slice(-this.maxEvents) : events,\n    };\n  }\n\n  private getOrCreateAssistantMessage(state: RealtimeState): {\n    state: RealtimeState;\n    messageId: string;\n  } {\n    if (this.currentAssistantMessageId != null) {\n      return { state, messageId: this.currentAssistantMessageId };\n    }\n\n    const messageId = `assistant-${Date.now()}-${Math.random()\n      .toString(36)\n      .slice(2, 6)}`;\n    this.currentAssistantMessageId = messageId;\n\n    return {\n      state: {\n        ...state,\n        messages: [\n          ...state.messages,\n          {\n            id: messageId,\n            role: 'assistant',\n            parts: [],\n          },\n        ],\n      },\n      messageId,\n    };\n  }\n\n  private addInputTranscriptionMessage(\n    state: RealtimeState,\n    itemId: string,\n    transcript: string,\n  ): RealtimeState {\n    const messageId = `user-${itemId}`;\n    const existingMessage = state.messages.find(\n      message => message.id === messageId,\n    );\n\n    if (existingMessage != null) {\n      return {\n        ...state,\n        messages: state.messages.map(message =>\n          message.id === messageId\n            ? {\n                ...message,\n                parts: [\n                  {\n                    type: 'text',\n                    text: transcript,\n                    state: 'done',\n                  } as TextUIPart,\n                ],\n              }\n            : message,\n        ),\n      };\n    }\n\n    const insertIndex = Math.min(\n      this.inputAudioMessageInsertIndex.get(itemId) ?? state.messages.length,\n      state.messages.length,\n    );\n\n    const messages = [...state.messages];\n    messages.splice(insertIndex, 0, {\n      id: messageId,\n      role: 'user',\n      parts: [\n        {\n          type: 'text',\n          text: transcript,\n          state: 'done',\n        } as TextUIPart,\n      ],\n    });\n\n    return {\n      ...state,\n      messages,\n    };\n  }\n\n  private appendTextDelta(\n    state: RealtimeState,\n    itemId: string,\n    delta: string,\n  ): RealtimeState {\n    const { state: stateWithMessage, messageId } =\n      this.getOrCreateAssistantMessage(state);\n\n    const acc = this.textAccumulators.get(itemId) ?? '';\n    const text = acc + delta;\n    this.textAccumulators.set(itemId, text);\n\n    const location = this.itemIdToPartLocation.get(itemId);\n    if (location != null) {\n      return this.updateMessagePart(\n        stateWithMessage,\n        location.messageId,\n        location.partIndex,\n        { type: 'text', text, state: 'streaming' } as TextUIPart,\n      );\n    }\n\n    return {\n      ...stateWithMessage,\n      messages: stateWithMessage.messages.map(message => {\n        if (message.id !== messageId) return message;\n\n        const partIndex = message.parts.length;\n        this.itemIdToPartLocation.set(itemId, { messageId, partIndex });\n\n        return {\n          ...message,\n          parts: [\n            ...message.parts,\n            { type: 'text', text, state: 'streaming' } as TextUIPart,\n          ],\n        };\n      }),\n    };\n  }\n\n  private finalizeText(\n    state: RealtimeState,\n    itemId: string,\n    finalText?: string,\n  ): RealtimeState {\n    const text = finalText ?? this.textAccumulators.get(itemId) ?? '';\n    this.textAccumulators.delete(itemId);\n\n    const location = this.itemIdToPartLocation.get(itemId);\n    if (location == null) return state;\n\n    this.itemIdToPartLocation.delete(itemId);\n\n    return this.updateMessagePart(\n      state,\n      location.messageId,\n      location.partIndex,\n      { type: 'text', text, state: 'done' } as TextUIPart,\n    );\n  }\n\n  private ensureToolPart(\n    state: RealtimeState,\n    messageId: string,\n    callId: string,\n  ): RealtimeState {\n    return {\n      ...state,\n      messages: state.messages.map(message => {\n        if (message.id !== messageId) return message;\n\n        const existingPart = message.parts.find(\n          part =>\n            part.type === 'dynamic-tool' &&\n            (part as DynamicToolUIPart).toolCallId === callId,\n        );\n        if (existingPart != null) return message;\n\n        return {\n          ...message,\n          parts: [\n            ...message.parts,\n            {\n              type: 'dynamic-tool',\n              toolName: '',\n              toolCallId: callId,\n              state: 'input-streaming',\n              input: undefined,\n            } as DynamicToolUIPart,\n          ],\n        };\n      }),\n    };\n  }\n\n  private markToolInputAvailable(\n    state: RealtimeState,\n    messageId: string,\n    callId: string,\n    name: string,\n    input: Record<string, unknown>,\n  ): RealtimeState {\n    return {\n      ...state,\n      messages: state.messages.map(message => {\n        if (message.id !== messageId) return message;\n\n        return {\n          ...message,\n          parts: message.parts.map(part => {\n            if (part.type !== 'dynamic-tool') return part;\n            const toolPart = part as DynamicToolUIPart;\n            if (toolPart.toolCallId !== callId) return part;\n\n            return {\n              ...toolPart,\n              toolName: name,\n              state: 'input-available',\n              input,\n            } as DynamicToolUIPart;\n          }),\n        };\n      }),\n    };\n  }\n\n  private updateToolPartState(\n    state: RealtimeState,\n    callId: string,\n    result: unknown,\n  ): RealtimeState {\n    const messageId = this.toolCallIdToMessageId.get(callId);\n    if (messageId == null) return state;\n\n    return {\n      ...state,\n      messages: state.messages.map(message => {\n        if (message.id !== messageId) return message;\n\n        return {\n          ...message,\n          parts: message.parts.map(part => {\n            if (part.type !== 'dynamic-tool') return part;\n            const toolPart = part as DynamicToolUIPart;\n            if (toolPart.toolCallId !== callId) return part;\n\n            return {\n              ...toolPart,\n              state: 'output-available',\n              output: result,\n            } as DynamicToolUIPart;\n          }),\n        };\n      }),\n    };\n  }\n\n  private updateMessagePart(\n    state: RealtimeState,\n    messageId: string,\n    partIndex: number,\n    part: TextUIPart,\n  ): RealtimeState {\n    return {\n      ...state,\n      messages: state.messages.map(message => {\n        if (message.id !== messageId) return message;\n\n        const parts = [...message.parts];\n        parts[partIndex] = part;\n\n        return { ...message, parts };\n      }),\n    };\n  }\n}\n", "import type {\n  RealtimeClientEvent,\n  RealtimeModel,\n  RealtimeServerEvent,\n  RealtimeSessionConfig,\n} from '../types/realtime-model';\nimport { BrowserRealtimeAudio } from './browser-realtime-audio';\nimport { BrowserRealtimeTransport } from './browser-realtime-transport';\nimport {\n  createInitialRealtimeState,\n  RealtimeEventReducer,\n  type RealtimeReducerEffect,\n  type RealtimeState,\n  type RealtimeStatus,\n} from './realtime-event-reducer';\n\nexport type { RealtimeState, RealtimeStatus };\n\nexport type RealtimeSessionOptions = {\n  model: RealtimeModel;\n  api: {\n    token: string;\n  };\n  sessionConfig?: Partial<RealtimeSessionConfig>;\n  sampleRate?: number;\n  maxEvents?: number;\n  onToolCall?: (args: {\n    toolCall: { toolCallId: string; toolName: string; args: unknown };\n  }) => Promise<unknown> | unknown | undefined;\n  onEvent?: (event: RealtimeServerEvent) => void;\n  onError?: (error: Error) => void;\n};\n\nexport abstract class AbstractRealtimeSession {\n  protected state: RealtimeState = createInitialRealtimeState();\n  protected maxEvents: number;\n\n  onToolCall: RealtimeSessionOptions['onToolCall'];\n  onEvent: ((event: RealtimeServerEvent) => void) | undefined;\n  onError: ((error: Error) => void) | undefined;\n\n  private readonly model: RealtimeModel;\n  private readonly api: RealtimeSessionOptions['api'];\n  private readonly sessionConfig: Partial<RealtimeSessionConfig> | undefined;\n  private readonly reducer: RealtimeEventReducer;\n  private readonly transport: BrowserRealtimeTransport;\n  private readonly audio: BrowserRealtimeAudio;\n  private currentResponseItemId: string | null = null;\n\n  // Tool calls requested by the current (tool-bearing) response, the outputs\n  // that have been submitted for them, and whether that response has finished\n  // delivering its tool calls. Used to request a single response only once\n  // every tool output for the turn has been submitted.\n  private readonly toolCallsInResponse = new Set<string>();\n  private readonly submittedToolOutputs = new Set<string>();\n  private responseToolCallsClosed = false;\n\n  protected abstract setState<K extends keyof RealtimeState>(\n    key: K,\n    value: RealtimeState[K],\n  ): void;\n\n  constructor(options: RealtimeSessionOptions) {\n    this.model = options.model;\n    this.api = options.api;\n    this.sessionConfig = options.sessionConfig;\n    this.maxEvents = options.maxEvents ?? 500;\n    this.reducer = new RealtimeEventReducer(this.maxEvents);\n    this.onToolCall = options.onToolCall;\n    this.onEvent = options.onEvent;\n    this.onError = options.onError;\n\n    const sampleRate = options.sampleRate ?? 24000;\n    const captureSampleRate =\n      options.sessionConfig?.inputAudioFormat?.rate ?? sampleRate;\n    const playbackSampleRate =\n      options.sessionConfig?.outputAudioFormat?.rate ?? sampleRate;\n\n    this.transport = new BrowserRealtimeTransport({\n      model: this.model,\n      onServerEvent: event => this.handleServerEvent(event),\n      onError: error => {\n        this.applyState(this.reducer.setStatus(this.state, 'error'));\n        this.onError?.(error);\n      },\n      onClose: () => {\n        this.applyState(this.reducer.setStatus(this.state, 'disconnected'));\n      },\n    });\n\n    this.audio = new BrowserRealtimeAudio({\n      captureSampleRate,\n      playbackSampleRate,\n      onAudio: audio => this.sendAudio(audio),\n      onCapturingChange: isCapturing => {\n        this.applyState(this.reducer.setCapturing(this.state, isCapturing));\n      },\n      onPlayingChange: isPlaying => {\n        this.applyState(this.reducer.setPlaying(this.state, isPlaying));\n      },\n    });\n  }\n\n  // ── Connection ─────────────────────────────────────────────────────\n\n  async connect(): Promise<void> {\n    this.applyState(this.reducer.setStatus(this.state, 'connecting'));\n\n    try {\n      const response = await fetch(this.api.token, {\n        method: 'POST',\n        headers: { 'Content-Type': 'application/json' },\n        body: JSON.stringify({ sessionConfig: this.sessionConfig }),\n      });\n      if (!response.ok) {\n        throw new Error(`Failed to fetch realtime setup: ${response.status}`);\n      }\n\n      const setupData = await response.json();\n      const { token, url, tools: toolDefinitions } = setupData;\n\n      const config: RealtimeSessionConfig = {\n        ...this.sessionConfig,\n        tools: toolDefinitions as RealtimeSessionConfig['tools'],\n      };\n\n      this.audio.ensurePlaybackContext();\n      this.transport.connect({\n        token,\n        url,\n        onOpen: () => {\n          this.sendEvent({\n            type: 'session-update',\n            config,\n          });\n        },\n      });\n    } catch (error) {\n      this.applyState(this.reducer.setStatus(this.state, 'error'));\n      this.onError?.(\n        error instanceof Error\n          ? error\n          : new Error(`Connection failed: ${String(error)}`),\n      );\n    }\n  }\n\n  disconnect(): void {\n    this.transport.disconnect();\n    this.applyState(this.reducer.setStatus(this.state, 'disconnected'));\n  }\n\n  // ── Sending events ─────────────────────────────────────────────────\n\n  sendEvent(event: RealtimeClientEvent): void {\n    this.transport.sendEvent(event);\n  }\n\n  sendTextMessage(text: string): void {\n    this.sendEvent({\n      type: 'conversation-item-create',\n      item: { type: 'text-message', role: 'user', text },\n    });\n    this.sendEvent({ type: 'response-create' });\n    this.applyState(this.reducer.addUserTextMessage(this.state, text));\n  }\n\n  sendAudio(base64Audio: string): void {\n    this.sendEvent({ type: 'input-audio-append', audio: base64Audio });\n  }\n\n  commitAudio(): void {\n    this.sendEvent({ type: 'input-audio-commit' });\n  }\n\n  clearAudioBuffer(): void {\n    this.sendEvent({ type: 'input-audio-clear' });\n  }\n\n  requestResponse(options?: { modalities?: string[] }): void {\n    this.sendEvent({\n      type: 'response-create',\n      ...(options != null ? { options } : {}),\n    });\n  }\n\n  cancelResponse(): void {\n    this.sendEvent({ type: 'response-cancel' });\n  }\n\n  // ── Tool output ───────────────────────────────────────────────────\n\n  addToolOutput(callId: string, result: unknown): void {\n    const { state, output } = this.reducer.addToolOutput(\n      this.state,\n      callId,\n      result,\n    );\n    this.applyState(state);\n\n    this.sendEvent({\n      type: 'conversation-item-create',\n      item: {\n        type: 'function-call-output',\n        callId: output.callId,\n        name: output.name,\n        output: output.output,\n      },\n    });\n\n    this.submittedToolOutputs.add(callId);\n    this.maybeRequestToolResponse();\n  }\n\n  /**\n   * Requests a single response once the tool-bearing response has finished\n   * delivering its tool calls and every one of them has an output. Requesting a\n   * response after each individual output can cause the model to continue\n   * without the full tool context on multi-tool turns.\n   */\n  private maybeRequestToolResponse(): void {\n    if (!this.responseToolCallsClosed) return;\n    if (this.toolCallsInResponse.size === 0) return;\n\n    for (const callId of this.toolCallsInResponse) {\n      if (!this.submittedToolOutputs.has(callId)) return;\n    }\n\n    this.sendEvent({ type: 'response-create' });\n    this.toolCallsInResponse.clear();\n    this.submittedToolOutputs.clear();\n    this.responseToolCallsClosed = false;\n  }\n\n  // ── Audio capture ──────────────────────────────────────────────────\n\n  startAudioCapture(stream: MediaStream): void {\n    this.audio.startCapture(stream);\n  }\n\n  stopAudioCapture(): void {\n    this.audio.stopCapture();\n  }\n\n  // ── Playback ───────────────────────────────────────────────────────\n\n  stopPlayback(): void {\n    this.audio.stopPlayback();\n  }\n\n  // ── Cleanup ────────────────────────────────────────────────────────\n\n  dispose(): void {\n    this.transport.dispose();\n    this.audio.dispose();\n    this.applyState(\n      this.reducer.setStatus(\n        this.reducer.setPlaying(\n          this.reducer.setCapturing(this.state, false),\n          false,\n        ),\n        'disconnected',\n      ),\n    );\n  }\n\n  // ── Private helpers ────────────────────────────────────────────────\n\n  private applyState(nextState: RealtimeState): void {\n    const previousState = this.state;\n    this.state = nextState;\n\n    if (previousState.status !== nextState.status) {\n      this.setState('status', nextState.status);\n    }\n    if (previousState.messages !== nextState.messages) {\n      this.setState('messages', nextState.messages);\n    }\n    if (previousState.events !== nextState.events) {\n      this.setState('events', nextState.events);\n    }\n    if (previousState.isCapturing !== nextState.isCapturing) {\n      this.setState('isCapturing', nextState.isCapturing);\n    }\n    if (previousState.isPlaying !== nextState.isPlaying) {\n      this.setState('isPlaying', nextState.isPlaying);\n    }\n  }\n\n  private async executeToolCall({\n    name,\n    args,\n    callId,\n  }: {\n    name: string;\n    args: Record<string, unknown>;\n    callId: string;\n  }): Promise<void> {\n    if (this.onToolCall == null) {\n      this.onError?.(new Error(`No handler provided for tool \"${name}\"`));\n      return;\n    }\n\n    try {\n      const result = await this.onToolCall({\n        toolCall: { toolCallId: callId, toolName: name, args },\n      });\n\n      // Returning `undefined` is the documented human-in-the-loop pattern:\n      // the application submits the output later via `addToolOutput`. Only an\n      // explicitly returned value is submitted automatically here.\n      if (result !== undefined) {\n        this.addToolOutput(callId, result);\n      }\n    } catch (error) {\n      this.onError?.(\n        error instanceof Error\n          ? error\n          : new Error(`Client tool execution failed: ${String(error)}`),\n      );\n    }\n  }\n\n  private async handleServerEvent(event: RealtimeServerEvent): Promise<void> {\n    const result = await this.reducer.reduceServerEvent(this.state, event);\n    this.applyState(result.state);\n    this.onEvent?.(event);\n\n    for (const effect of result.effects) {\n      this.handleReducerEffect(effect);\n    }\n\n    // `response-done` for a response that requested tool calls marks the point\n    // where no further tool calls will arrive for that turn, so we can request\n    // the follow-up response once every output is in.\n    if (event.type === 'response-done' && this.toolCallsInResponse.size > 0) {\n      this.responseToolCallsClosed = true;\n      this.maybeRequestToolResponse();\n    }\n  }\n\n  private handleReducerEffect(effect: RealtimeReducerEffect): void {\n    switch (effect.type) {\n      case 'play-audio': {\n        this.currentResponseItemId = effect.itemId;\n        this.audio.playAudio(effect.delta);\n        break;\n      }\n      case 'speech-started': {\n        if (this.state.isPlaying) {\n          const playedMs = this.audio.getPlaybackOffsetMs();\n          this.audio.stopPlayback();\n\n          if (this.currentResponseItemId != null) {\n            this.sendEvent({\n              type: 'conversation-item-truncate',\n              itemId: this.currentResponseItemId,\n              contentIndex: 0,\n              audioEndMs: Math.round(playedMs),\n            });\n          }\n        }\n        break;\n      }\n      case 'tool-call': {\n        // Track every tool call in the response so a multi-tool turn only\n        // triggers a single `response-create` once all outputs are submitted.\n        this.toolCallsInResponse.add(effect.callId);\n        void this.executeToolCall({\n          name: effect.name,\n          args: effect.args,\n          callId: effect.callId,\n        });\n        break;\n      }\n      case 'error': {\n        this.onError?.(effect.error);\n        break;\n      }\n    }\n  }\n}\n", "import {\n  type EmbeddingModelV4,\n  type Experimental_VideoModelV4,\n  type FilesV4,\n  type ImageModelV4,\n  type LanguageModelV4,\n  NoSuchModelError,\n  type ProviderV2,\n  type ProviderV3,\n  type ProviderV4,\n  type RerankingModelV4,\n  type SkillsV4,\n  type SpeechModelV4,\n  type TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport { asProviderV4 } from '../model/as-provider-v4';\nimport {\n  resolveEmbeddingModel,\n  resolveImageModel,\n  resolveLanguageModel,\n  resolveRerankingModel,\n  resolveSpeechModel,\n  resolveTranscriptionModel,\n  resolveVideoModel,\n} from '../model/resolve-model';\nimport type { EmbeddingModel } from '../types/embedding-model';\nimport type { ImageModel } from '../types/image-model';\nimport type { LanguageModel } from '../types/language-model';\nimport type { RerankingModel } from '../types/reranking-model';\nimport type { SpeechModel } from '../types/speech-model';\nimport type { TranscriptionModel } from '../types/transcription-model';\nimport type { VideoModel } from '../types/video-model';\n\n/**\n * Creates a custom provider with specified language models, text embedding models, image models, transcription models, speech models, file APIs, skill APIs, and an optional fallback provider.\n *\n * @param {Object} options - The options for creating the custom provider.\n * @param {Record<string, LanguageModel>} [options.languageModels] - A record of language models, where keys are model IDs and values are language model instances.\n * @param {Record<string, EmbeddingModel>} [options.embeddingModels] - A record of text embedding models, where keys are model IDs and values are embedding model instances.\n * @param {Record<string, ImageModel>} [options.imageModels] - A record of image models, where keys are model IDs and values are image model instances.\n * @param {Record<string, TranscriptionModel>} [options.transcriptionModels] - A record of transcription models, where keys are model IDs and values are transcription model instances.\n * @param {Record<string, SpeechModel>} [options.speechModels] - A record of speech models, where keys are model IDs and values are speech model instances.\n * @param {Record<string, RerankingModel>} [options.rerankingModels] - A record of reranking models, where keys are model IDs and values are reranking model instances.\n * @param {Record<string, VideoModel>} [options.videoModels] - A record of video models, where keys are model IDs and values are video model instances.\n * @param {FilesV4} [options.files] - A files interface for uploading files.\n * @param {SkillsV4} [options.skills] - A skills interface for uploading skills.\n * @param {ProviderV2 | ProviderV3 | ProviderV4} [options.fallbackProvider] - An optional fallback provider to use when a requested model is not found in the custom provider.\n * @returns {ProviderV4} A ProviderV4 object with languageModel, embeddingModel, imageModel, transcriptionModel, speechModel, rerankingModel, and videoModel methods.\n *\n * @throws {NoSuchModelError} Throws when a requested model is not found and no fallback provider is available.\n */\nexport function customProvider<\n  LANGUAGE_MODELS extends Record<string, LanguageModel>,\n  EMBEDDING_MODELS extends Record<string, EmbeddingModel>,\n  IMAGE_MODELS extends Record<string, ImageModel>,\n  TRANSCRIPTION_MODELS extends Record<string, TranscriptionModel>,\n  SPEECH_MODELS extends Record<string, SpeechModel>,\n  RERANKING_MODELS extends Record<string, RerankingModel>,\n  VIDEO_MODELS extends Record<string, VideoModel>,\n  FILES extends FilesV4 | undefined = undefined,\n  SKILLS extends SkillsV4 | undefined = undefined,\n  FALLBACK extends ProviderV2 | ProviderV3 | ProviderV4 | undefined = undefined,\n>({\n  languageModels,\n  embeddingModels,\n  imageModels,\n  transcriptionModels,\n  speechModels,\n  rerankingModels,\n  videoModels,\n  files,\n  skills,\n  fallbackProvider: fallbackProviderArg,\n}: {\n  languageModels?: LANGUAGE_MODELS;\n  embeddingModels?: EMBEDDING_MODELS;\n  imageModels?: IMAGE_MODELS;\n  transcriptionModels?: TRANSCRIPTION_MODELS;\n  speechModels?: SPEECH_MODELS;\n  rerankingModels?: RERANKING_MODELS;\n  videoModels?: VIDEO_MODELS;\n  files?: FILES;\n  skills?: SKILLS;\n  fallbackProvider?: FALLBACK;\n}): ProviderV4 & {\n  languageModel(modelId: ExtractModelId<LANGUAGE_MODELS>): LanguageModelV4;\n  embeddingModel(modelId: ExtractModelId<EMBEDDING_MODELS>): EmbeddingModelV4;\n  imageModel(modelId: ExtractModelId<IMAGE_MODELS>): ImageModelV4;\n  transcriptionModel(\n    modelId: ExtractModelId<TRANSCRIPTION_MODELS>,\n  ): TranscriptionModelV4;\n  rerankingModel(modelId: ExtractModelId<RERANKING_MODELS>): RerankingModelV4;\n  speechModel(modelId: ExtractModelId<SPEECH_MODELS>): SpeechModelV4;\n  videoModel(modelId: ExtractModelId<VIDEO_MODELS>): Experimental_VideoModelV4;\n} & (FILES extends FilesV4\n    ? { files(): FilesV4 }\n    : [FALLBACK] extends [{ files: () => FilesV4 }]\n      ? { files(): FilesV4 }\n      : { files?(): FilesV4 }) &\n  (SKILLS extends SkillsV4\n    ? { skills(): SkillsV4 }\n    : [FALLBACK] extends [{ skills: () => SkillsV4 }]\n      ? { skills(): SkillsV4 }\n      : { skills?(): SkillsV4 }) {\n  const fallbackProvider =\n    fallbackProviderArg == null ? undefined : asProviderV4(fallbackProviderArg);\n\n  const baseProvider: ProviderV4 & {\n    languageModel(modelId: ExtractModelId<LANGUAGE_MODELS>): LanguageModelV4;\n    embeddingModel(modelId: ExtractModelId<EMBEDDING_MODELS>): EmbeddingModelV4;\n    imageModel(modelId: ExtractModelId<IMAGE_MODELS>): ImageModelV4;\n    transcriptionModel(\n      modelId: ExtractModelId<TRANSCRIPTION_MODELS>,\n    ): TranscriptionModelV4;\n    rerankingModel(modelId: ExtractModelId<RERANKING_MODELS>): RerankingModelV4;\n    speechModel(modelId: ExtractModelId<SPEECH_MODELS>): SpeechModelV4;\n    videoModel(\n      modelId: ExtractModelId<VIDEO_MODELS>,\n    ): Experimental_VideoModelV4;\n  } = {\n    specificationVersion: 'v4',\n    languageModel(modelId: ExtractModelId<LANGUAGE_MODELS>): LanguageModelV4 {\n      if (languageModels != null && modelId in languageModels) {\n        return resolveLanguageModel(languageModels[modelId]);\n      }\n\n      if (fallbackProvider) {\n        return fallbackProvider.languageModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'languageModel' });\n    },\n\n    embeddingModel(\n      modelId: ExtractModelId<EMBEDDING_MODELS>,\n    ): EmbeddingModelV4 {\n      if (embeddingModels != null && modelId in embeddingModels) {\n        return resolveEmbeddingModel(embeddingModels[modelId]);\n      }\n\n      if (fallbackProvider) {\n        return fallbackProvider.embeddingModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'embeddingModel' });\n    },\n\n    imageModel(modelId: ExtractModelId<IMAGE_MODELS>): ImageModelV4 {\n      if (imageModels != null && modelId in imageModels) {\n        return resolveImageModel(imageModels[modelId]);\n      }\n\n      if (fallbackProvider?.imageModel) {\n        return fallbackProvider.imageModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'imageModel' });\n    },\n\n    transcriptionModel(\n      modelId: ExtractModelId<TRANSCRIPTION_MODELS>,\n    ): TranscriptionModelV4 {\n      if (transcriptionModels != null && modelId in transcriptionModels) {\n        const model = resolveTranscriptionModel(transcriptionModels[modelId]);\n\n        if (model != null) {\n          return model;\n        }\n      }\n\n      if (fallbackProvider?.transcriptionModel) {\n        return fallbackProvider.transcriptionModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'transcriptionModel' });\n    },\n\n    speechModel(modelId: ExtractModelId<SPEECH_MODELS>): SpeechModelV4 {\n      if (speechModels != null && modelId in speechModels) {\n        const model = resolveSpeechModel(speechModels[modelId]);\n\n        if (model != null) {\n          return model;\n        }\n      }\n\n      if (fallbackProvider?.speechModel) {\n        return fallbackProvider.speechModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'speechModel' });\n    },\n    rerankingModel(\n      modelId: ExtractModelId<RERANKING_MODELS>,\n    ): RerankingModelV4 {\n      if (rerankingModels != null && modelId in rerankingModels) {\n        return resolveRerankingModel(rerankingModels[modelId]);\n      }\n\n      if (fallbackProvider?.rerankingModel) {\n        return fallbackProvider.rerankingModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'rerankingModel' });\n    },\n    videoModel(\n      modelId: ExtractModelId<VIDEO_MODELS>,\n    ): Experimental_VideoModelV4 {\n      if (videoModels != null && modelId in videoModels) {\n        return resolveVideoModel(videoModels[modelId]);\n      }\n\n      // TODO AI SDK v7\n      // @ts-expect-error - videoModel support is experimental\n      const videoModel = fallbackProvider?.videoModel;\n      if (videoModel) {\n        return videoModel(modelId);\n      }\n\n      throw new NoSuchModelError({ modelId, modelType: 'videoModel' });\n    },\n  };\n\n  const filesAndSkills = {\n    ...(files != null || fallbackProvider?.files != null\n      ? {\n          files(): FilesV4 {\n            return files ?? fallbackProvider!.files!();\n          },\n        }\n      : {}),\n\n    ...(skills != null || fallbackProvider?.skills != null\n      ? {\n          skills(): SkillsV4 {\n            return skills ?? fallbackProvider!.skills!();\n          },\n        }\n      : {}),\n  } as (FILES extends FilesV4\n    ? { files(): FilesV4 }\n    : [FALLBACK] extends [{ files: () => FilesV4 }]\n      ? { files(): FilesV4 }\n      : { files?(): FilesV4 }) &\n    (SKILLS extends SkillsV4\n      ? { skills(): SkillsV4 }\n      : [FALLBACK] extends [{ skills: () => SkillsV4 }]\n        ? { skills(): SkillsV4 }\n        : { skills?(): SkillsV4 });\n\n  return Object.assign(baseProvider, filesAndSkills);\n}\n\ntype ExtractModelId<MODELS extends Record<string, unknown>> = Extract<\n  keyof MODELS,\n  string\n>;\n", "import { AISDKError, NoSuchModelError } from '@ai-sdk/provider';\n\nconst name = 'AI_NoSuchProviderError';\nconst marker = `vercel.ai.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport class NoSuchProviderError extends NoSuchModelError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly providerId: string;\n  readonly availableProviders: string[];\n\n  constructor({\n    modelId,\n    modelType,\n    providerId,\n    availableProviders,\n    message = `No such provider: ${providerId} (available providers: ${availableProviders.join()})`,\n  }: {\n    modelId: string;\n    modelType:\n      | 'languageModel'\n      | 'embeddingModel'\n      | 'imageModel'\n      | 'transcriptionModel'\n      | 'speechModel'\n      | 'rerankingModel'\n      | 'videoModel';\n    providerId: string;\n    availableProviders: string[];\n    message?: string;\n  }) {\n    super({ errorName: name, modelId, modelType, message });\n\n    this.providerId = providerId;\n    this.availableProviders = availableProviders;\n  }\n\n  static isInstance(error: unknown): error is NoSuchProviderError {\n    return AISDKError.hasMarker(error, marker);\n  }\n}\n", "import {\n  type EmbeddingModelV4,\n  type Experimental_VideoModelV3,\n  type Experimental_VideoModelV4,\n  type FilesV4,\n  type ImageModelV4,\n  type LanguageModelV4,\n  NoSuchModelError,\n  type ProviderV3,\n  type ProviderV4,\n  type RerankingModelV4,\n  type SkillsV4,\n  type SpeechModelV4,\n  type TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport { wrapImageModel } from '../middleware/wrap-image-model';\nimport { wrapLanguageModel } from '../middleware/wrap-language-model';\nimport { asProviderV4 } from '../model/as-provider-v4';\nimport { asVideoModelV4 } from '../model/as-video-model-v4';\nimport type { ImageModelMiddleware, LanguageModelMiddleware } from '../types';\nimport type { ExtractLiteralUnion } from '../util/extract-literal-union';\nimport { NoSuchProviderError } from './no-such-provider-error';\n\ntype ProviderWithOptionalVideoModel = {\n  videoModel?: (\n    modelId: string,\n  ) => Experimental_VideoModelV3 | Experimental_VideoModelV4;\n};\n\ntype RegistryModelType =\n  | 'languageModel'\n  | 'embeddingModel'\n  | 'imageModel'\n  | 'transcriptionModel'\n  | 'speechModel'\n  | 'rerankingModel'\n  | 'videoModel';\n\ntype ProviderVideoModelIdentifier<PROVIDER> = PROVIDER extends {\n  videoModel: (...args: infer ARGS) => unknown;\n}\n  ? ExtractLiteralUnion<ARGS[0]>\n  : never;\n\nexport interface ProviderRegistryProvider<\n  PROVIDERS extends Record<string, ProviderV4 | ProviderV3> = Record<\n    string,\n    ProviderV4 | ProviderV3\n  >,\n  SEPARATOR extends string = ':',\n> {\n  languageModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['languageModel']>>[0]>}`\n      : never,\n  ): LanguageModelV4;\n  languageModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): LanguageModelV4;\n\n  embeddingModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['embeddingModel']>>[0]>}`\n      : never,\n  ): EmbeddingModelV4;\n  embeddingModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): EmbeddingModelV4;\n\n  imageModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['imageModel']>>[0]>}`\n      : never,\n  ): ImageModelV4;\n  imageModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): ImageModelV4;\n\n  transcriptionModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['transcriptionModel']>>[0]>}`\n      : never,\n  ): TranscriptionModelV4;\n  transcriptionModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): TranscriptionModelV4;\n\n  speechModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['speechModel']>>[0]>}`\n      : never,\n  ): SpeechModelV4;\n  speechModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): SpeechModelV4;\n\n  rerankingModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ExtractLiteralUnion<Parameters<NonNullable<PROVIDERS[KEY]['rerankingModel']>>[0]>}`\n      : never,\n  ): RerankingModelV4;\n  rerankingModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): RerankingModelV4;\n\n  videoModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string\n      ? `${KEY & string}${SEPARATOR}${ProviderVideoModelIdentifier<PROVIDERS[KEY]>}`\n      : never,\n  ): Experimental_VideoModelV4;\n  videoModel<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? `${KEY & string}${SEPARATOR}${string}` : never,\n  ): Experimental_VideoModelV4;\n\n  files<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? KEY & string : never,\n  ): FilesV4;\n\n  skills<KEY extends keyof PROVIDERS>(\n    id: KEY extends string ? KEY & string : never,\n  ): SkillsV4;\n}\n\n/**\n * Creates a registry for the given providers with optional middleware functionality.\n * This function allows you to register multiple providers and optionally apply middleware\n * to all language models from the registry, enabling you to transform parameters, wrap generate\n * operations, and wrap stream operations for every language model accessed through the registry.\n *\n * @param providers - A record of provider instances to be registered in the registry.\n * @param options - Configuration options for the provider registry.\n * @param options.separator - The separator used between provider ID and model ID in the combined identifier. Defaults to ':'.\n * @param options.languageModelMiddleware - Optional middleware to be applied to all language models from the registry. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @param options.imageModelMiddleware - Optional middleware to be applied to all image models from the registry. When multiple middlewares are provided, the first middleware will transform the input first, and the last middleware will be wrapped directly around the model.\n * @returns A new ProviderRegistryProvider instance that provides access to all registered providers with optional middleware applied to language and image models.\n */\nexport function createProviderRegistry<\n  PROVIDERS extends Record<string, ProviderV4 | ProviderV3>,\n  SEPARATOR extends string = ':',\n>(\n  providers: PROVIDERS,\n  {\n    separator = ':' as SEPARATOR,\n    languageModelMiddleware,\n    imageModelMiddleware,\n  }: {\n    separator?: SEPARATOR;\n    languageModelMiddleware?:\n      | LanguageModelMiddleware\n      | LanguageModelMiddleware[];\n    imageModelMiddleware?: ImageModelMiddleware | ImageModelMiddleware[];\n  } = {},\n): ProviderRegistryProvider<PROVIDERS, SEPARATOR> {\n  const registry = new DefaultProviderRegistry<PROVIDERS, SEPARATOR>({\n    separator,\n    languageModelMiddleware,\n    imageModelMiddleware,\n  });\n\n  for (const [id, provider] of Object.entries(providers)) {\n    registry.registerProvider({ id, provider } as {\n      id: keyof PROVIDERS;\n      provider: PROVIDERS[keyof PROVIDERS];\n    });\n  }\n\n  return registry;\n}\n\n/**\n * @deprecated Use `createProviderRegistry` instead.\n */\nexport const experimental_createProviderRegistry = createProviderRegistry;\n\nclass DefaultProviderRegistry<\n  PROVIDERS extends Record<string, ProviderV4 | ProviderV3>,\n  SEPARATOR extends string,\n> implements ProviderRegistryProvider<PROVIDERS, SEPARATOR> {\n  private providers: Partial<\n    Record<keyof PROVIDERS, ProviderV4 & ProviderWithOptionalVideoModel>\n  > = {};\n  private separator: SEPARATOR;\n  private languageModelMiddleware?:\n    | LanguageModelMiddleware\n    | LanguageModelMiddleware[];\n  private imageModelMiddleware?: ImageModelMiddleware | ImageModelMiddleware[];\n\n  constructor({\n    separator,\n    languageModelMiddleware,\n    imageModelMiddleware,\n  }: {\n    separator: SEPARATOR;\n    languageModelMiddleware?:\n      | LanguageModelMiddleware\n      | LanguageModelMiddleware[];\n    imageModelMiddleware?: ImageModelMiddleware | ImageModelMiddleware[];\n  }) {\n    this.separator = separator;\n    this.languageModelMiddleware = languageModelMiddleware;\n    this.imageModelMiddleware = imageModelMiddleware;\n  }\n\n  registerProvider<K extends keyof PROVIDERS>({\n    id,\n    provider,\n  }: {\n    id: K;\n    provider: PROVIDERS[K];\n  }): void {\n    const providerV4 = asProviderV4(provider);\n    const videoModel = (\n      provider as ProviderWithOptionalVideoModel\n    ).videoModel?.bind(provider);\n\n    this.providers[id] =\n      videoModel == null\n        ? providerV4\n        : Object.assign(Object.create(Object.getPrototypeOf(providerV4)), {\n            ...providerV4,\n            videoModel: (modelId: string) =>\n              asVideoModelV4(videoModel(modelId)),\n          });\n  }\n\n  private getProvider(\n    id: string,\n    modelType: RegistryModelType,\n  ): ProviderV4 & ProviderWithOptionalVideoModel {\n    const provider = this.providers[id as keyof PROVIDERS];\n\n    if (provider == null) {\n      throw new NoSuchProviderError({\n        modelId: id,\n        modelType,\n        providerId: id,\n        availableProviders: Object.keys(this.providers),\n      });\n    }\n\n    return provider;\n  }\n\n  private splitId(id: string, modelType: RegistryModelType): [string, string] {\n    const index = id.indexOf(this.separator);\n\n    if (index === -1) {\n      throw new NoSuchModelError({\n        modelId: id,\n        modelType,\n        message:\n          `Invalid ${modelType} id for registry: ${id} ` +\n          `(must be in the format \"providerId${this.separator}modelId\")`,\n      });\n    }\n\n    return [id.slice(0, index), id.slice(index + this.separator.length)];\n  }\n\n  languageModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): LanguageModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'languageModel');\n    let model = this.getProvider(providerId, 'languageModel').languageModel?.(\n      modelId,\n    );\n\n    if (model == null) {\n      throw new NoSuchModelError({ modelId: id, modelType: 'languageModel' });\n    }\n\n    if (this.languageModelMiddleware != null) {\n      model = wrapLanguageModel({\n        model,\n        middleware: this.languageModelMiddleware,\n      });\n    }\n\n    return model;\n  }\n\n  embeddingModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): EmbeddingModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'embeddingModel');\n    const provider = this.getProvider(providerId, 'embeddingModel');\n\n    const model = provider.embeddingModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({\n        modelId: id,\n        modelType: 'embeddingModel',\n      });\n    }\n\n    return model;\n  }\n\n  imageModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): ImageModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'imageModel');\n    const provider = this.getProvider(providerId, 'imageModel');\n\n    let model = provider.imageModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({ modelId: id, modelType: 'imageModel' });\n    }\n\n    if (this.imageModelMiddleware != null) {\n      model = wrapImageModel({\n        model,\n        middleware: this.imageModelMiddleware,\n      });\n    }\n\n    return model;\n  }\n\n  transcriptionModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): TranscriptionModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'transcriptionModel');\n    const provider = this.getProvider(providerId, 'transcriptionModel');\n\n    const model = provider.transcriptionModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({\n        modelId: id,\n        modelType: 'transcriptionModel',\n      });\n    }\n\n    return model;\n  }\n\n  speechModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): SpeechModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'speechModel');\n    const provider = this.getProvider(providerId, 'speechModel');\n\n    const model = provider.speechModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({ modelId: id, modelType: 'speechModel' });\n    }\n\n    return model;\n  }\n\n  rerankingModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): RerankingModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'rerankingModel');\n    const provider = this.getProvider(providerId, 'rerankingModel');\n\n    const model = provider.rerankingModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({ modelId: id, modelType: 'rerankingModel' });\n    }\n\n    return model;\n  }\n\n  videoModel<KEY extends keyof PROVIDERS>(\n    id: `${KEY & string}${SEPARATOR}${string}`,\n  ): Experimental_VideoModelV4 {\n    const [providerId, modelId] = this.splitId(id, 'videoModel');\n    const provider = this.getProvider(providerId, 'videoModel');\n\n    const model = provider.videoModel?.(modelId);\n\n    if (model == null) {\n      throw new NoSuchModelError({ modelId: id, modelType: 'videoModel' });\n    }\n\n    return asVideoModelV4(model);\n  }\n\n  files<KEY extends keyof PROVIDERS>(id: KEY & string): FilesV4 {\n    const provider = this.getProvider(id, 'languageModel');\n    const files = provider.files?.();\n\n    if (files == null) {\n      throw new Error(\n        `The provider \"${id}\" does not support file uploads. Make sure it exposes a files() method.`,\n      );\n    }\n\n    return files;\n  }\n\n  skills<KEY extends keyof PROVIDERS>(id: KEY & string): SkillsV4 {\n    const provider = this.getProvider(id, 'languageModel');\n    const skills = provider.skills?.();\n\n    if (skills == null) {\n      throw new Error(\n        `The provider \"${id}\" does not support skills. Make sure it exposes a skills() method.`,\n      );\n    }\n\n    return skills;\n  }\n}\n", "import type { JSONObject, RerankingModelV4CallOptions } from '@ai-sdk/provider';\nimport {\n  createIdGenerator,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { prepareRetries } from '../../src/util/prepare-retries';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveRerankingModel } from '../model/resolve-model';\nimport { createTelemetryDispatcher } from '../telemetry/create-telemetry-dispatcher';\nimport type { TelemetryOptions } from '../telemetry/telemetry-options';\nimport type { RerankingModel } from '../types';\nimport type { Callback } from '../util/callback';\nimport { notify } from '../util/notify';\nimport type { RerankEndEvent, RerankStartEvent } from './rerank-events';\nimport type { RerankResult } from './rerank-result';\n\nconst originalGenerateCallId = createIdGenerator({\n  prefix: 'call',\n  size: 24,\n});\n\n/**\n * Rerank documents using a reranking model. The type of the value is defined by the reranking model.\n *\n * @param model - The reranking model to use.\n * @param documents - The documents that should be reranked.\n * @param query - The query to rerank the documents against.\n * @param topN - Number of top documents to return.\n *\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n * @param providerOptions - Additional provider-specific options.\n * @param telemetry - Optional telemetry configuration.\n *\n * @returns A result object that contains the reranked documents, the reranked indices, and additional information.\n */\nexport async function rerank<VALUE extends JSONObject | string>({\n  model: modelArg,\n  documents,\n  query,\n  topN,\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  providerOptions,\n  experimental_telemetry,\n  telemetry = experimental_telemetry,\n  onStart,\n  experimental_onStart,\n  onEnd,\n  experimental_onEnd,\n  _internal: { generateCallId = originalGenerateCallId } = {},\n}: {\n  /**\n   * The reranking model to use.\n   */\n  model: RerankingModel;\n\n  /**\n   * The documents that should be reranked.\n   */\n  documents: Array<VALUE>;\n\n  /**\n   * The query to rerank the documents against.\n   */\n  query: string;\n\n  /**\n   * Number of top documents to return.\n   */\n  topN?: number;\n\n  /**\n   * Maximum number of retries per reranking model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Optional telemetry configuration.\n   */\n  telemetry?: TelemetryOptions;\n\n  /**\n   * Optional telemetry configuration.\n   *\n   * @deprecated Use `telemetry` instead. This alias will be removed in a future major release.\n   */\n  experimental_telemetry?: TelemetryOptions;\n\n  /**\n   * Additional provider-specific options. They are passed through\n   * to the provider from the AI SDK and enable provider-specific\n   * functionality that can be fully encapsulated in the provider.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Callback that is called when the rerank operation begins,\n   * before the reranking model is called.\n   */\n  onStart?: Callback<RerankStartEvent>;\n\n  /**\n   * Callback that is called when the rerank operation begins,\n   * before the reranking model is called.\n   *\n   * @deprecated Use `onStart` instead.\n   */\n  experimental_onStart?: Callback<RerankStartEvent>;\n\n  /**\n   * Callback that is called when the rerank operation completes,\n   * after the reranking model returns.\n   */\n  onEnd?: Callback<RerankEndEvent>;\n\n  /**\n   * Callback that is called when the rerank operation completes,\n   * after the reranking model returns.\n   *\n   * @deprecated Use `onEnd` instead.\n   */\n  experimental_onEnd?: Callback<RerankEndEvent>;\n\n  /**\n   * Internal. For test use only. May change without notice.\n   */\n  _internal?: {\n    generateCallId?: () => string;\n  };\n}): Promise<RerankResult<VALUE>> {\n  const model = resolveRerankingModel(modelArg);\n  const callId = generateCallId();\n  const resolvedOnStart = onStart ?? experimental_onStart;\n  const resolvedOnEnd = onEnd ?? experimental_onEnd;\n\n  const telemetryDispatcher = createTelemetryDispatcher({\n    telemetry,\n  });\n\n  const runInTracingChannelSpan =\n    telemetryDispatcher.runInTracingChannelSpan ??\n    (async <T>({ execute }: { execute: () => PromiseLike<T> }) =>\n      await execute());\n\n  if (documents.length === 0) {\n    await notify({\n      event: {\n        callId,\n        operationId: 'ai.rerank',\n        provider: model.provider,\n        modelId: model.modelId,\n        documents,\n        query,\n        topN,\n        maxRetries: maxRetriesArg ?? 2,\n        headers,\n        providerOptions,\n      },\n      callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n    });\n\n    await notify({\n      event: {\n        callId,\n        operationId: 'ai.rerank',\n        provider: model.provider,\n        modelId: model.modelId,\n        documents,\n        query,\n        ranking: [],\n        warnings: [],\n        providerMetadata: undefined,\n        response: {\n          timestamp: new Date(),\n          modelId: model.modelId,\n        },\n      },\n      callbacks: [resolvedOnEnd, telemetryDispatcher.onEnd],\n    });\n\n    return new DefaultRerankResult({\n      originalDocuments: [],\n      ranking: [],\n      providerMetadata: undefined,\n      response: {\n        timestamp: new Date(),\n        modelId: model.modelId,\n      },\n    });\n  }\n\n  const { maxRetries, retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  const documentsToSend: RerankingModelV4CallOptions['documents'] =\n    typeof documents[0] === 'string'\n      ? { type: 'text', values: documents as string[] }\n      : { type: 'object', values: documents as JSONObject[] };\n\n  const startEvent = {\n    callId,\n    operationId: 'ai.rerank',\n    provider: model.provider,\n    modelId: model.modelId,\n    documents,\n    query,\n    topN,\n    maxRetries,\n    headers,\n    providerOptions,\n  };\n\n  return await runInTracingChannelSpan({\n    type: 'rerank',\n    event: startEvent,\n    execute: async () => {\n      await notify({\n        event: startEvent,\n        callbacks: [resolvedOnStart, telemetryDispatcher.onStart],\n      });\n\n      try {\n        const { ranking, response, providerMetadata, warnings } = await retry(\n          async () => {\n            await notify({\n              event: {\n                callId,\n                operationId: 'ai.rerank.doRerank',\n                provider: model.provider,\n                modelId: model.modelId,\n                documents,\n                documentsType: documentsToSend.type,\n                query,\n                topN,\n              },\n              callbacks: [telemetryDispatcher.onRerankStart],\n            });\n\n            const modelResponse = await model.doRerank({\n              documents: documentsToSend,\n              query,\n              topN,\n              providerOptions,\n              abortSignal,\n              headers,\n            });\n\n            const ranking = modelResponse.ranking;\n\n            await notify({\n              event: {\n                callId,\n                operationId: 'ai.rerank.doRerank',\n                provider: model.provider,\n                modelId: model.modelId,\n                documentsType: documentsToSend.type,\n                ranking,\n              },\n              callbacks: [telemetryDispatcher.onRerankEnd],\n            });\n\n            return {\n              ranking,\n              providerMetadata: modelResponse.providerMetadata,\n              response: modelResponse.response,\n              warnings: modelResponse.warnings,\n            };\n          },\n        );\n\n        logWarnings({\n          warnings: warnings ?? [],\n          provider: model.provider,\n          model: model.modelId,\n        });\n\n        await notify({\n          event: {\n            callId,\n            operationId: 'ai.rerank',\n            provider: model.provider,\n            modelId: model.modelId,\n            documents,\n            query,\n            ranking: ranking.map(r => ({\n              originalIndex: r.index,\n              score: r.relevanceScore,\n              document: documents[r.index],\n            })),\n            warnings: warnings ?? [],\n            providerMetadata,\n            response: {\n              id: response?.id,\n              timestamp: response?.timestamp ?? new Date(),\n              modelId: response?.modelId ?? model.modelId,\n              headers: response?.headers,\n              body: response?.body,\n            },\n          },\n          callbacks: [resolvedOnEnd, telemetryDispatcher.onEnd],\n        });\n\n        return new DefaultRerankResult({\n          originalDocuments: documents,\n          ranking: ranking.map(ranking => ({\n            originalIndex: ranking.index,\n            score: ranking.relevanceScore,\n            document: documents[ranking.index],\n          })),\n          providerMetadata,\n          response: {\n            id: response?.id,\n            timestamp: response?.timestamp ?? new Date(),\n            modelId: response?.modelId ?? model.modelId,\n            headers: response?.headers,\n            body: response?.body,\n          },\n        });\n      } catch (error) {\n        await telemetryDispatcher.onError?.({ callId, error });\n        throw error;\n      }\n    },\n  });\n}\n\nclass DefaultRerankResult<VALUE> implements RerankResult<VALUE> {\n  readonly originalDocuments: RerankResult<VALUE>['originalDocuments'];\n  readonly ranking: RerankResult<VALUE>['ranking'];\n  readonly response: RerankResult<VALUE>['response'];\n  readonly providerMetadata: RerankResult<VALUE>['providerMetadata'];\n\n  constructor(options: {\n    originalDocuments: RerankResult<VALUE>['originalDocuments'];\n    ranking: RerankResult<VALUE>['ranking'];\n    providerMetadata?: RerankResult<VALUE>['providerMetadata'];\n    response: RerankResult<VALUE>['response'];\n  }) {\n    this.originalDocuments = options.originalDocuments;\n    this.ranking = options.ranking;\n    this.response = options.response;\n    this.providerMetadata = options.providerMetadata;\n  }\n\n  get rerankedDocuments(): RerankResult<VALUE>['rerankedDocuments'] {\n    return this.ranking.map(ranking => ranking.document);\n  }\n}\n", "import type { JSONObject } from '@ai-sdk/provider';\nimport {\n  detectMediaType,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoTranscriptGeneratedError } from '../error/no-transcript-generated-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport type { DataContent } from '../prompt';\nimport { convertDataContentToUint8Array } from '../prompt/data-content';\nimport type { TranscriptionModel } from '../types/transcription-model';\nimport type { TranscriptionModelResponseMetadata } from '../types/transcription-model-response-metadata';\nimport { createDownload } from '../util/download/create-download';\nimport { prepareRetries } from '../util/prepare-retries';\nimport type { TranscriptionResult } from './transcribe-result';\nimport { VERSION } from '../version';\nimport { resolveTranscriptionModel } from '../model/resolve-model';\nimport type { Warning } from '../types';\n/**\n * Generates transcripts using a transcription model.\n *\n * @param model - The transcription model to use.\n * @param audio - The audio data to transcribe as DataContent (string | Uint8Array | ArrayBuffer | Buffer) or a URL.\n * @param providerOptions - Additional provider-specific options that are passed through to the provider\n * as body parameters.\n * @param maxRetries - Maximum number of retries. Set to 0 to disable retries. Default: 2.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.\n *\n * @returns A result object that contains the generated transcript.\n */\nconst defaultDownload = createDownload();\n\nexport async function transcribe({\n  model,\n  audio,\n  providerOptions = {},\n  maxRetries: maxRetriesArg,\n  abortSignal,\n  headers,\n  download: downloadFn = defaultDownload,\n}: {\n  /**\n   * The transcription model to use.\n   */\n  model: TranscriptionModel;\n\n  /**\n   * The audio data to transcribe.\n   */\n  audio: DataContent | URL;\n\n  /**\n   * Additional provider-specific options that are passed through to the provider\n   * as body parameters.\n   *\n   * The outer record is keyed by the provider name, and the inner\n   * record is keyed by the provider-specific metadata key.\n   * ```ts\n   * {\n   *   \"openai\": {\n   *     \"temperature\": 0\n   *   }\n   * }\n   * ```\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Maximum number of retries per transcript model call. Set to 0 to disable retries.\n   *\n   * @default 2\n   */\n  maxRetries?: number;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request.\n   * Only applicable for HTTP-based providers.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom download function for fetching audio from URLs.\n   * Use `createDownload()` from `ai` to create a download function with custom size limits.\n   *\n   * @default createDownload() (2 GiB limit)\n   */\n  download?: (options: {\n    url: URL;\n    abortSignal?: AbortSignal;\n  }) => Promise<{ data: Uint8Array; mediaType: string | undefined }>;\n}): Promise<TranscriptionResult> {\n  const resolvedModel = resolveTranscriptionModel(model);\n  if (!resolvedModel) {\n    throw new Error('Model could not be resolved');\n  }\n\n  const { retry } = prepareRetries({\n    maxRetries: maxRetriesArg,\n    abortSignal,\n  });\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const audioData =\n    audio instanceof URL\n      ? (await downloadFn({ url: audio, abortSignal })).data\n      : convertDataContentToUint8Array(audio);\n\n  const result = await retry(() =>\n    resolvedModel.doGenerate({\n      audio: audioData,\n      abortSignal,\n      headers: headersWithUserAgent,\n      providerOptions,\n      mediaType:\n        detectMediaType({\n          data: audioData,\n          topLevelType: 'audio',\n        }) ?? 'audio/wav',\n    }),\n  );\n\n  logWarnings({\n    warnings: result.warnings,\n    provider: resolvedModel.provider,\n    model: resolvedModel.modelId,\n  });\n\n  if (!result.text) {\n    throw new NoTranscriptGeneratedError({ responses: [result.response] });\n  }\n\n  return new DefaultTranscriptionResult({\n    text: result.text,\n    segments: result.segments,\n    language: result.language,\n    durationInSeconds: result.durationInSeconds,\n    warnings: result.warnings,\n    responses: [result.response],\n    providerMetadata: result.providerMetadata,\n  });\n}\n\nclass DefaultTranscriptionResult implements TranscriptionResult {\n  readonly text: string;\n  readonly segments: Array<{\n    text: string;\n    startSecond: number;\n    endSecond: number;\n  }>;\n  readonly language: string | undefined;\n  readonly durationInSeconds: number | undefined;\n  readonly warnings: Array<Warning>;\n  readonly responses: Array<TranscriptionModelResponseMetadata>;\n  readonly providerMetadata: Record<string, JSONObject>;\n\n  constructor(options: {\n    text: string;\n    segments: Array<{\n      text: string;\n      startSecond: number;\n      endSecond: number;\n    }>;\n    language: string | undefined;\n    durationInSeconds: number | undefined;\n    warnings: Array<Warning>;\n    responses: Array<TranscriptionModelResponseMetadata>;\n    providerMetadata: Record<string, JSONObject> | undefined;\n  }) {\n    this.text = options.text;\n    this.segments = options.segments;\n    this.language = options.language;\n    this.durationInSeconds = options.durationInSeconds;\n    this.warnings = options.warnings;\n    this.responses = options.responses;\n    this.providerMetadata = options.providerMetadata ?? {};\n  }\n}\n", "import {\n  UnsupportedFunctionalityError,\n  type Experimental_TranscriptionModelV4StreamPart,\n  type JSONObject,\n  type SharedV4AudioFormat,\n} from '@ai-sdk/provider';\nimport {\n  DelayedPromise,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoTranscriptGeneratedError } from '../error/no-transcript-generated-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveTranscriptionModel } from '../model/resolve-model';\nimport type { TranscriptionModel } from '../types/transcription-model';\nimport type { TranscriptionModelResponseMetadata } from '../types/transcription-model-response-metadata';\nimport type { Warning } from '../types/warning';\nimport { asAsyncIterableStream } from '../util/async-iterable-stream';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { VERSION } from '../version';\nimport type {\n  StreamTranscriptionResult,\n  TranscriptionStreamPart,\n} from './stream-transcribe-result';\n\ntype TranscriptSegment = {\n  text: string;\n  startSecond: number;\n  endSecond: number;\n};\n\n/**\n * Streams transcripts using a transcription model.\n *\n * @param model - The transcription model to use.\n * @param audio - Raw audio chunks to transcribe.\n * @param inputAudioFormat - The input audio format for the raw audio chunks.\n * @param providerOptions - Additional provider-specific options.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP/WebSocket headers to send when supported by the provider.\n *\n * @returns A result object that contains the streaming transcript and final transcript metadata.\n */\nexport function streamTranscribe({\n  model,\n  audio,\n  inputAudioFormat,\n  providerOptions = {},\n  abortSignal,\n  headers,\n  includeRawChunks,\n  _internal: { currentDate = () => new Date() } = {},\n}: {\n  /**\n   * The transcription model to use.\n   */\n  model: TranscriptionModel;\n\n  /**\n   * Raw audio chunks to transcribe.\n   */\n  audio: ReadableStream<Uint8Array | string>;\n\n  /**\n   * The input audio format for the raw audio chunks.\n   */\n  inputAudioFormat: SharedV4AudioFormat;\n\n  /**\n   * Additional provider-specific options.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request, if supported by the provider.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * When true, providers should include raw provider chunks in the stream.\n   */\n  includeRawChunks?: boolean;\n\n  /**\n   * Internal test hooks.\n   */\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}): StreamTranscriptionResult {\n  const resolvedModel = resolveTranscriptionModel(model);\n  if (!resolvedModel) {\n    throw new Error('Model could not be resolved');\n  }\n\n  const doStream = resolvedModel.doStream?.bind(resolvedModel);\n  if (doStream == null) {\n    throw new UnsupportedFunctionalityError({\n      functionality: 'streaming transcription',\n      message:\n        `The ${resolvedModel.provider} model \"${resolvedModel.modelId}\" does not support streaming transcription.` +\n        (typeof model === 'string'\n          ? ' String model IDs resolve through the global provider (AI Gateway by default).' +\n            ' If that provider does not support streaming transcription, pass a provider model' +\n            \" instance instead (e.g. openai.transcription('gpt-realtime-whisper'))\" +\n            ' or upgrade @ai-sdk/gateway to a version with streaming transcription support.'\n          : ''),\n    });\n  }\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const textPromise = new DelayedPromise<string>();\n  const segmentsPromise = new DelayedPromise<Array<TranscriptSegment>>();\n  const languagePromise = new DelayedPromise<string | undefined>();\n  const durationInSecondsPromise = new DelayedPromise<number | undefined>();\n  const warningsPromise = new DelayedPromise<Array<Warning>>();\n  const responsesPromise = new DelayedPromise<\n    Array<TranscriptionModelResponseMetadata>\n  >();\n  const providerMetadataPromise = new DelayedPromise<\n    Record<string, JSONObject>\n  >();\n\n  const rejectPendingPromises = (error: unknown) => {\n    for (const promise of [\n      textPromise,\n      segmentsPromise,\n      languagePromise,\n      durationInSecondsPromise,\n      warningsPromise,\n      responsesPromise,\n      providerMetadataPromise,\n    ]) {\n      if (promise.isPending()) {\n        promise.reject(error);\n      }\n    }\n  };\n\n  const startedAt = currentDate();\n  let response: TranscriptionModelResponseMetadata | undefined;\n  const currentResponseMetadata = () =>\n    response ?? { timestamp: startedAt, modelId: resolvedModel.modelId };\n\n  const resolveWarnings = (warnings: Array<Warning>) => {\n    warningsPromise.resolve(warnings);\n    logWarnings({\n      warnings,\n      provider: resolvedModel.provider,\n      model: resolvedModel.modelId,\n    });\n  };\n\n  // When the consumer cancels `fullStream` early, we abort the model pipe below\n  // with a defined reason via this controller. Relying on the default cancel\n  // cascade aborts the pipe with an `undefined` reason, which surfaces as a\n  // spurious unhandled rejection on Node.js 26 when the transform drops chunks.\n  const pipeAbortController = new AbortController();\n\n  // `Transformer.cancel` is part of the Streams spec (and supported at runtime),\n  // but not yet reflected in the ambient `Transformer` type, so widen it here.\n  const transformer: Transformer<\n    Experimental_TranscriptionModelV4StreamPart,\n    TranscriptionStreamPart\n  > & { cancel?: (reason?: unknown) => void } = {\n    transform(value, controller) {\n      switch (value.type) {\n        case 'stream-start': {\n          resolveWarnings(value.warnings);\n          break;\n        }\n\n        case 'response-metadata': {\n          response = {\n            timestamp: value.timestamp ?? currentResponseMetadata().timestamp,\n            modelId: value.modelId ?? currentResponseMetadata().modelId,\n            headers: value.headers ?? response?.headers,\n          };\n          break;\n        }\n\n        case 'transcript-delta':\n        case 'transcript-partial':\n        case 'transcript-final':\n        case 'raw':\n        case 'error': {\n          controller.enqueue(value);\n          break;\n        }\n\n        case 'finish': {\n          if (!warningsPromise.isResolved()) {\n            resolveWarnings([]);\n          }\n\n          if (!value.text) {\n            throw new NoTranscriptGeneratedError({\n              responses: [currentResponseMetadata()],\n            });\n          }\n\n          textPromise.resolve(value.text);\n          segmentsPromise.resolve(value.segments);\n          languagePromise.resolve(value.language);\n          durationInSecondsPromise.resolve(value.durationInSeconds);\n          responsesPromise.resolve([currentResponseMetadata()]);\n          providerMetadataPromise.resolve(value.providerMetadata ?? {});\n          break;\n        }\n      }\n    },\n\n    flush() {\n      if (textPromise.isPending()) {\n        throw new NoTranscriptGeneratedError({\n          responses: [currentResponseMetadata()],\n        });\n      }\n    },\n\n    cancel(reason) {\n      pipeAbortController.abort(\n        reason ?? new Error('Transcription stream was cancelled.'),\n      );\n    },\n  };\n\n  const transform = new TransformStream<\n    Experimental_TranscriptionModelV4StreamPart,\n    TranscriptionStreamPart\n  >(transformer);\n\n  // Piping (instead of an eager read loop) preserves consumer backpressure\n  // and propagates cancellation of `fullStream` to the model stream.\n  void (async () => {\n    const result = await doStream({\n      audio,\n      inputAudioFormat,\n      providerOptions,\n      // merged so cancelling fullStream also aborts a still-pending doStream\n      abortSignal: mergeAbortSignals(abortSignal, pipeAbortController.signal),\n      headers: headersWithUserAgent,\n      includeRawChunks,\n    });\n\n    response = {\n      timestamp: result.response?.timestamp ?? startedAt,\n      modelId: result.response?.modelId ?? resolvedModel.modelId,\n      headers: result.response?.headers,\n    };\n\n    await result.stream.pipeTo(transform.writable, {\n      signal: pipeAbortController.signal,\n    });\n  })().catch(error => {\n    const reason =\n      error ?? new Error('Transcription stream was cancelled or errored.');\n    rejectPendingPromises(reason);\n    // When `doStream` rejects before the model stream exists (e.g. auth or\n    // header resolution failure), nothing has taken ownership of `audio` yet,\n    // so cancel it directly — otherwise an upstream producer piping into it\n    // hangs forever. When the model did take a reader, `audio` is locked and\n    // the cancel rejects, which is fine: the model's cleanup owns it then.\n    audio.cancel(reason).catch(() => {});\n    transform.writable.abort(reason).catch(() => {\n      // the writable is already errored when the model stream failed mid-pipe\n    });\n  });\n\n  // Transcription streams can be unbounded (live microphone + raw chunks), so\n  // unlike streamText we cannot retain an unread tee branch for replay. The\n  // output stream has one owner: either fullStream, or the first result promise\n  // getter which claims and drains it internally.\n  let streamOwner: 'unclaimed' | 'full-stream' | 'result-promises' =\n    'unclaimed';\n\n  function consumeStream() {\n    if (streamOwner === 'full-stream' || streamOwner === 'result-promises') {\n      return;\n    }\n    streamOwner = 'result-promises';\n    const reader = transform.readable.getReader();\n    void (async () => {\n      while (!(await reader.read()).done) {\n        // drain; results surface via the promises\n      }\n    })().catch(() => {\n      // stream errors reject the promises via the pipe handler above\n    });\n  }\n\n  function getFullStream() {\n    if (streamOwner !== 'unclaimed') {\n      throw new Error(\n        streamOwner === 'full-stream'\n          ? 'fullStream can only be accessed once.'\n          : 'fullStream cannot be accessed after a result promise.',\n      );\n    }\n    streamOwner = 'full-stream';\n    // Direct ownership preserves backpressure and cancellation: cancelling\n    // this stream reaches Transformer.cancel and aborts the model pipe.\n    return asAsyncIterableStream(transform.readable);\n  }\n\n  return {\n    get text() {\n      consumeStream();\n      return textPromise.promise;\n    },\n    get segments() {\n      consumeStream();\n      return segmentsPromise.promise;\n    },\n    get language() {\n      consumeStream();\n      return languagePromise.promise;\n    },\n    get durationInSeconds() {\n      consumeStream();\n      return durationInSecondsPromise.promise;\n    },\n    get warnings() {\n      consumeStream();\n      return warningsPromise.promise;\n    },\n    get responses() {\n      consumeStream();\n      return responsesPromise.promise;\n    },\n    get providerMetadata() {\n      consumeStream();\n      return providerMetadataPromise.promise;\n    },\n    get fullStream() {\n      return getFullStream();\n    },\n  };\n}\n", "import type { TranscriptionResult } from './transcribe-result';\nimport { transcribe } from './transcribe';\n\nexport { transcribe } from './transcribe';\nexport { streamTranscribe as experimental_streamTranscribe } from './stream-transcribe';\nexport type {\n  StreamTranscriptionResult,\n  TranscriptionStreamPart,\n} from './stream-transcribe-result';\nexport type { TranscriptionResult } from './transcribe-result';\n\n// deprecated exports\n\n/**\n * @deprecated Use `transcribe` instead.\n */\nconst experimental_transcribe = transcribe;\nexport { experimental_transcribe };\n\n/**\n * @deprecated Use `TranscriptionResult` instead.\n */\ntype Experimental_TranscriptionResult = TranscriptionResult;\nexport type { Experimental_TranscriptionResult };\n", "import type {\n  Experimental_SpeechTranslationModelV4StreamPart,\n  Experimental_SpeechTranslationModelV4Usage,\n  JSONObject,\n  SharedV4AudioFormat,\n} from '@ai-sdk/provider';\nimport {\n  DelayedPromise,\n  withUserAgentSuffix,\n  type ProviderOptions,\n} from '@ai-sdk/provider-utils';\nimport { NoTranslationGeneratedError } from '../error/no-translation-generated-error';\nimport { logWarnings } from '../logger/log-warnings';\nimport { resolveSpeechTranslationModel } from '../model/resolve-model';\nimport type { SpeechTranslationModel } from '../types/speech-translation-model';\nimport type { SpeechTranslationModelResponseMetadata } from '../types/speech-translation-model-response-metadata';\nimport type { Warning } from '../types/warning';\nimport { asAsyncIterableStream } from '../util/async-iterable-stream';\nimport { mergeAbortSignals } from '../util/merge-abort-signals';\nimport { VERSION } from '../version';\nimport type {\n  StreamTranslationResult,\n  TranslationStreamPart,\n} from './stream-translate-result';\n\n/**\n * Streams speech-to-speech translations using a speech translation model.\n *\n * @param model - The speech translation model to use.\n * @param audio - Raw audio chunks to translate.\n * @param inputAudioFormat - The input audio format for the raw audio chunks.\n * @param targetLanguage - The language to translate the audio into.\n * @param sourceLanguage - The language of the source audio. Auto-detected when absent.\n * @param outputAudioFormat - The desired audio format for translated audio chunks.\n * @param providerOptions - Additional provider-specific options.\n * @param abortSignal - An optional abort signal that can be used to cancel the call.\n * @param headers - Additional HTTP/WebSocket headers to send when supported by the provider.\n * @param includeRawChunks - When true, providers include raw provider chunks in the stream as `raw` parts.\n *\n * @returns A result object that contains the streaming translation and final translation metadata.\n */\nexport function streamTranslate({\n  model,\n  audio,\n  inputAudioFormat,\n  targetLanguage,\n  sourceLanguage,\n  outputAudioFormat,\n  providerOptions = {},\n  abortSignal,\n  headers,\n  includeRawChunks,\n  _internal: { currentDate = () => new Date() } = {},\n}: {\n  /**\n   * The speech translation model to use.\n   */\n  model: SpeechTranslationModel;\n\n  /**\n   * Raw audio chunks to translate.\n   */\n  audio: ReadableStream<Uint8Array | string>;\n\n  /**\n   * The input audio format for the raw audio chunks.\n   */\n  inputAudioFormat: SharedV4AudioFormat;\n\n  /**\n   * The language to translate the audio into, as a BCP-47-style language\n   * tag (e.g. `en`, `es`, `fr-CA`). Supported values are provider-specific\n   * and validated by the provider.\n   */\n  targetLanguage: string;\n\n  /**\n   * The language of the source audio, as a BCP-47-style language tag.\n   * When absent, providers auto-detect the source language.\n   */\n  sourceLanguage?: string;\n\n  /**\n   * The desired audio format for translated audio chunks.\n   * When absent, the provider default output format is used.\n   */\n  outputAudioFormat?: SharedV4AudioFormat;\n\n  /**\n   * Additional provider-specific options.\n   */\n  providerOptions?: ProviderOptions;\n\n  /**\n   * Abort signal.\n   */\n  abortSignal?: AbortSignal;\n\n  /**\n   * Additional headers to include in the request, if supported by the provider.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * When true, providers should include raw provider chunks in the stream.\n   */\n  includeRawChunks?: boolean;\n\n  /**\n   * Internal test hooks.\n   */\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}): StreamTranslationResult {\n  const resolvedModel = resolveSpeechTranslationModel(model);\n\n  const doStream = resolvedModel.doStream.bind(resolvedModel);\n\n  const headersWithUserAgent = withUserAgentSuffix(\n    headers ?? {},\n    `ai/${VERSION}`,\n  );\n\n  const sourceTextPromise = new DelayedPromise<string>();\n  const translationTextPromise = new DelayedPromise<string>();\n  const durationInSecondsPromise = new DelayedPromise<number | undefined>();\n  const usagePromise = new DelayedPromise<\n    Experimental_SpeechTranslationModelV4Usage | undefined\n  >();\n  const warningsPromise = new DelayedPromise<Array<Warning>>();\n  const responsePromise =\n    new DelayedPromise<SpeechTranslationModelResponseMetadata>();\n  const providerMetadataPromise = new DelayedPromise<\n    Record<string, JSONObject>\n  >();\n\n  const rejectPendingPromises = (error: unknown) => {\n    for (const promise of [\n      sourceTextPromise,\n      translationTextPromise,\n      durationInSecondsPromise,\n      usagePromise,\n      warningsPromise,\n      responsePromise,\n      providerMetadataPromise,\n    ]) {\n      if (promise.isPending()) {\n        promise.reject(error);\n      }\n    }\n  };\n\n  const startedAt = currentDate();\n  let response: SpeechTranslationModelResponseMetadata | undefined;\n  const currentResponseMetadata = () =>\n    response ?? { timestamp: startedAt, modelId: resolvedModel.modelId };\n\n  const resolveWarnings = (warnings: Array<Warning>) => {\n    warningsPromise.resolve(warnings);\n    logWarnings({\n      warnings,\n      provider: resolvedModel.provider,\n      model: resolvedModel.modelId,\n    });\n  };\n\n  // When the consumer cancels `fullStream` early, we abort the model pipe below\n  // with a defined reason via this controller. Relying on the default cancel\n  // cascade aborts the pipe with an `undefined` reason, which surfaces as a\n  // spurious unhandled rejection on Node.js 26 when the transform drops chunks.\n  const pipeAbortController = new AbortController();\n\n  // A stream is successful when at least one `audio` part was emitted or the\n  // final `outputText` is non-empty (audio-only providers may report an empty\n  // `outputText`).\n  let hasAudioOutput = false;\n\n  // `Transformer.cancel` is part of the Streams spec (and supported at runtime),\n  // but not yet reflected in the ambient `Transformer` type, so widen it here.\n  const transformer: Transformer<\n    Experimental_SpeechTranslationModelV4StreamPart,\n    TranslationStreamPart\n  > & { cancel?: (reason?: unknown) => void } = {\n    transform(value, controller) {\n      switch (value.type) {\n        case 'stream-start': {\n          resolveWarnings(value.warnings);\n          break;\n        }\n\n        case 'response-metadata': {\n          response = {\n            timestamp: value.timestamp ?? currentResponseMetadata().timestamp,\n            modelId: value.modelId ?? currentResponseMetadata().modelId,\n            headers: value.headers ?? response?.headers,\n          };\n          break;\n        }\n\n        case 'audio': {\n          hasAudioOutput = true;\n          controller.enqueue(value);\n          break;\n        }\n\n        case 'output-text-delta':\n        case 'output-text-final':\n        case 'source-transcript-delta':\n        case 'source-transcript-partial':\n        case 'source-transcript-final':\n        case 'raw':\n        case 'error': {\n          controller.enqueue(value);\n          break;\n        }\n\n        case 'finish': {\n          if (!warningsPromise.isResolved()) {\n            resolveWarnings([]);\n          }\n\n          if (!hasAudioOutput && !value.outputText) {\n            throw new NoTranslationGeneratedError({\n              response: currentResponseMetadata(),\n            });\n          }\n\n          sourceTextPromise.resolve(value.sourceText);\n          translationTextPromise.resolve(value.outputText);\n          durationInSecondsPromise.resolve(value.durationInSeconds);\n          usagePromise.resolve(value.usage);\n          responsePromise.resolve(currentResponseMetadata());\n          providerMetadataPromise.resolve(value.providerMetadata ?? {});\n          break;\n        }\n\n        default: {\n          const _exhaustiveCheck: never = value;\n          throw new Error(`Unsupported part type: ${_exhaustiveCheck}`);\n        }\n      }\n    },\n\n    flush() {\n      if (translationTextPromise.isPending()) {\n        throw new NoTranslationGeneratedError({\n          response: currentResponseMetadata(),\n        });\n      }\n    },\n\n    cancel(reason) {\n      pipeAbortController.abort(\n        reason ?? new Error('Translation stream was cancelled.'),\n      );\n    },\n  };\n\n  const transform = new TransformStream<\n    Experimental_SpeechTranslationModelV4StreamPart,\n    TranslationStreamPart\n  >(transformer);\n\n  // Piping (instead of an eager read loop) preserves consumer backpressure\n  // and propagates cancellation of `fullStream` to the model stream.\n  void (async () => {\n    const result = await doStream({\n      audio,\n      inputAudioFormat,\n      targetLanguage,\n      sourceLanguage,\n      outputAudioFormat,\n      providerOptions,\n      // merged so cancelling fullStream also aborts a still-pending doStream\n      abortSignal: mergeAbortSignals(abortSignal, pipeAbortController.signal),\n      headers: headersWithUserAgent,\n      includeRawChunks,\n    });\n\n    response = {\n      timestamp: result.response?.timestamp ?? startedAt,\n      modelId: result.response?.modelId ?? resolvedModel.modelId,\n      headers: result.response?.headers,\n    };\n\n    await result.stream.pipeTo(transform.writable, {\n      signal: pipeAbortController.signal,\n    });\n  })().catch(error => {\n    const reason =\n      error ?? new Error('Translation stream was cancelled or errored.');\n    rejectPendingPromises(reason);\n    // When `doStream` rejects before the model stream exists (e.g. auth or\n    // header resolution failure), nothing has taken ownership of `audio` yet,\n    // so cancel it directly — otherwise an upstream producer piping into it\n    // hangs forever. When the model did take a reader, `audio` is locked and\n    // the cancel rejects, which is fine: the model's cleanup owns it then.\n    audio.cancel(reason).catch(() => {});\n    transform.writable.abort(reason).catch(() => {\n      // the writable is already errored when the model stream failed mid-pipe\n    });\n  });\n\n  // Translation streams can be unbounded (live microphone + raw chunks), so\n  // unlike streamText we cannot retain an unread tee branch for replay. The\n  // output stream has one owner: either fullStream, or the first result promise\n  // getter which claims and drains it internally.\n  let streamOwner: 'unclaimed' | 'full-stream' | 'result-promises' =\n    'unclaimed';\n\n  function consumeStream() {\n    if (streamOwner === 'full-stream' || streamOwner === 'result-promises') {\n      return;\n    }\n    streamOwner = 'result-promises';\n    const reader = transform.readable.getReader();\n    void (async () => {\n      while (!(await reader.read()).done) {\n        // drain; results surface via the promises\n      }\n    })().catch(() => {\n      // stream errors reject the promises via the pipe handler above\n    });\n  }\n\n  function getFullStream() {\n    if (streamOwner !== 'unclaimed') {\n      throw new Error(\n        streamOwner === 'full-stream'\n          ? 'fullStream can only be accessed once.'\n          : 'fullStream cannot be accessed after a result promise.',\n      );\n    }\n    streamOwner = 'full-stream';\n    // Direct ownership preserves backpressure and cancellation: cancelling\n    // this stream reaches Transformer.cancel and aborts the model pipe.\n    return asAsyncIterableStream(transform.readable);\n  }\n\n  return {\n    get sourceText() {\n      consumeStream();\n      return sourceTextPromise.promise;\n    },\n    get translationText() {\n      consumeStream();\n      return translationTextPromise.promise;\n    },\n    get durationInSeconds() {\n      consumeStream();\n      return durationInSecondsPromise.promise;\n    },\n    get usage() {\n      consumeStream();\n      return usagePromise.promise;\n    },\n    get warnings() {\n      consumeStream();\n      return warningsPromise.promise;\n    },\n    get response() {\n      consumeStream();\n      return responsePromise.promise;\n    },\n    get providerMetadata() {\n      consumeStream();\n      return providerMetadataPromise.promise;\n    },\n    get fullStream() {\n      return getFullStream();\n    },\n  };\n}\n", "import {\n  parseJsonEventStream,\n  withUserAgentSuffix,\n  getRuntimeEnvironmentUserAgent,\n  type ParseResult,\n} from '@ai-sdk/provider-utils';\nimport {\n  uiMessageChunkSchema,\n  type UIMessageChunk,\n} from '../ui-message-stream/ui-message-chunks';\nimport { consumeStream } from '../util/consume-stream';\nimport { processTextStream } from './process-text-stream';\nimport { VERSION } from '../version';\n\n// use function to allow for mocking in tests:\nconst getOriginalFetch = () => fetch;\n\nexport async function callCompletionApi({\n  api,\n  prompt,\n  credentials,\n  headers,\n  body,\n  streamProtocol = 'data',\n  setCompletion,\n  setLoading,\n  setError,\n  setAbortController,\n  onFinish,\n  onError,\n  fetch = getOriginalFetch(),\n}: {\n  api: string;\n  prompt: string;\n  credentials: RequestCredentials | undefined;\n  headers: HeadersInit | undefined;\n  body: Record<string, any>;\n  streamProtocol: 'data' | 'text' | undefined;\n  setCompletion: (completion: string) => void;\n  setLoading: (loading: boolean) => void;\n  setError: (error: Error | undefined) => void;\n  setAbortController: (abortController: AbortController | null) => void;\n  onFinish: ((prompt: string, completion: string) => void) | undefined;\n  onError: ((error: Error) => void) | undefined;\n  fetch: ReturnType<typeof getOriginalFetch> | undefined;\n}) {\n  try {\n    setLoading(true);\n    setError(undefined);\n\n    const abortController = new AbortController();\n    setAbortController(abortController);\n\n    // Empty the completion immediately.\n    setCompletion('');\n\n    const response = await fetch(api, {\n      method: 'POST',\n      body: JSON.stringify({\n        prompt,\n        ...body,\n      }),\n      credentials,\n      headers: withUserAgentSuffix(\n        {\n          'Content-Type': 'application/json',\n          ...headers,\n        },\n        `ai-sdk/${VERSION}`,\n        getRuntimeEnvironmentUserAgent(),\n      ),\n      signal: abortController.signal,\n    }).catch(err => {\n      throw err;\n    });\n\n    if (!response.ok) {\n      throw new Error(\n        (await response.text()) ?? 'Failed to fetch the chat response.',\n      );\n    }\n\n    if (!response.body) {\n      throw new Error('The response body is empty.');\n    }\n\n    let result = '';\n\n    switch (streamProtocol) {\n      case 'text': {\n        await processTextStream({\n          stream: response.body,\n          onTextPart: chunk => {\n            result += chunk;\n            setCompletion(result);\n          },\n        });\n        break;\n      }\n      case 'data': {\n        await consumeStream({\n          stream: parseJsonEventStream({\n            stream: response.body,\n            schema: uiMessageChunkSchema,\n          }).pipeThrough(\n            new TransformStream<ParseResult<UIMessageChunk>, UIMessageChunk>({\n              async transform(part) {\n                if (!part.success) {\n                  throw part.error;\n                }\n\n                const streamPart = part.value;\n                if (streamPart.type === 'text-delta') {\n                  result += streamPart.delta;\n                  setCompletion(result);\n                } else if (streamPart.type === 'error') {\n                  throw new Error(streamPart.errorText);\n                }\n              },\n            }),\n          ),\n          onError: error => {\n            throw error;\n          },\n        });\n        break;\n      }\n      default: {\n        const exhaustiveCheck: never = streamProtocol;\n        throw new Error(`Unknown stream protocol: ${exhaustiveCheck}`);\n      }\n    }\n\n    if (onFinish) {\n      onFinish(prompt, result);\n    }\n\n    setAbortController(null);\n    return result;\n  } catch (err) {\n    // Ignore abort errors as they are expected.\n    if ((err as any).name === 'AbortError') {\n      setAbortController(null);\n      return null;\n    }\n\n    if (err instanceof Error) {\n      if (onError) {\n        onError(err);\n      }\n    }\n\n    setError(err as Error);\n  } finally {\n    setLoading(false);\n  }\n}\n", "export async function processTextStream({\n  stream,\n  onTextPart,\n}: {\n  stream: ReadableStream<Uint8Array>;\n  onTextPart: (chunk: string) => Promise<void> | void;\n}): Promise<void> {\n  const reader = stream.pipeThrough(new TextDecoderStream()).getReader();\n  while (true) {\n    const { done, value } = await reader.read();\n    if (done) {\n      break;\n    }\n    await onTextPart(value);\n  }\n}\n", "import {\n  generateId as generateIdFunc,\n  type FlexibleSchema,\n  type IdGenerator,\n  type InferSchema,\n} from '@ai-sdk/provider-utils';\nimport type { FinishReason } from '../types/language-model';\nimport type { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';\nimport { consumeStream } from '../util/consume-stream';\nimport { SerialJobExecutor } from '../util/serial-job-executor';\nimport type { ChatTransport } from './chat-transport';\nimport { convertFileListToFileUIParts } from './convert-file-list-to-file-ui-parts';\nimport { DefaultChatTransport } from './default-chat-transport';\nimport {\n  createStreamingUIMessageState,\n  processUIMessageStream,\n  type StreamingUIMessageState,\n  type UIMessageStreamWriteOptions,\n} from './process-ui-message-stream';\nimport {\n  isToolUIPart,\n  type DataUIPart,\n  type FileUIPart,\n  type InferUIMessageData,\n  type InferUIMessageMetadata,\n  type InferUIMessageTools,\n  type UIDataTypes,\n  type UIMessage,\n  type InferUIMessageToolCall,\n  type UIMessagePart,\n  type UITools,\n} from './ui-messages';\nexport type CreateUIMessage<UI_MESSAGE extends UIMessage> = Omit<\n  UI_MESSAGE,\n  'id' | 'role'\n> & {\n  id?: UI_MESSAGE['id'];\n  role?: UI_MESSAGE['role'];\n};\n\nexport type UIDataPartSchemas = Record<string, FlexibleSchema>;\n\nexport type UIDataTypesToSchemas<T extends UIDataTypes> = {\n  [K in keyof T]: FlexibleSchema<T[K]>;\n};\n\nexport type InferUIDataParts<T extends UIDataPartSchemas> = {\n  [K in keyof T]: InferSchema<T[K]>;\n};\n\nexport type ChatRequestOptions = {\n  /**\n   * Additional headers that should be to be passed to the API endpoint.\n   */\n  headers?: Record<string, string> | Headers;\n\n  /**\n   * Additional body JSON properties that should be sent to the API endpoint.\n   */\n  body?: object; // TODO JSONStringifyable\n\n  metadata?: unknown;\n};\n\n/**\n * Function that can be called to add a tool approval response to the chat.\n */\nexport type ChatAddToolApproveResponseFunction = ({\n  id,\n  approved,\n  reason,\n  options,\n}: {\n  id: string;\n\n  /**\n   * Flag indicating whether the approval was granted or denied.\n   */\n  approved: boolean;\n\n  /**\n   * Optional reason for the approval or denial.\n   */\n  reason?: string;\n\n  /**\n   * Optional request options to be used if `sendAutomaticallyWhen` callback returns true.\n   */\n  options?: ChatRequestOptions;\n}) => void | PromiseLike<void>;\n\n/**\n * Function that can be called to add a tool output to the chat.\n */\nexport type ChatAddToolOutputFunction<UI_MESSAGE extends UIMessage> = <\n  TOOL extends keyof InferUIMessageTools<UI_MESSAGE>,\n>({\n  state,\n  tool,\n  toolCallId,\n  output,\n  errorText,\n  options,\n}: {\n  /**\n   * Name of the tool that was called.\n   */\n  tool: TOOL;\n\n  /**\n   * Identifier of the tool call to add output for.\n   */\n  toolCallId: string;\n\n  /**\n   * Optional request options to be used if `sendAutomaticallyWhen` callback returns true.\n   */\n  options?: ChatRequestOptions;\n} & (\n  | {\n      state?: 'output-available';\n      output: InferUIMessageTools<UI_MESSAGE>[TOOL]['output'];\n      errorText?: never;\n    }\n  | {\n      state: 'output-error';\n      output?: never;\n      errorText: string;\n    }\n)) => void | PromiseLike<void>;\n\nexport type ChatStatus = 'submitted' | 'streaming' | 'ready' | 'error';\n\ntype ActiveResponse<UI_MESSAGE extends UIMessage> = {\n  state: StreamingUIMessageState<UI_MESSAGE>;\n  abortController: AbortController;\n};\n\ntype ActiveResumeRequest = {\n  abortController: AbortController;\n};\n\nexport interface ChatState<UI_MESSAGE extends UIMessage> {\n  status: ChatStatus;\n\n  error: Error | undefined;\n\n  messages: UI_MESSAGE[];\n  pushMessage: (message: UI_MESSAGE) => void;\n  popMessage: () => void;\n  replaceMessage: (index: number, message: UI_MESSAGE) => void;\n\n  snapshot: <T>(thing: T) => T;\n}\n\nexport type ChatOnErrorCallback = (error: Error) => void;\n\nexport type ChatOnToolCallCallback<UI_MESSAGE extends UIMessage = UIMessage> =\n  (options: {\n    toolCall: InferUIMessageToolCall<UI_MESSAGE>;\n  }) => void | PromiseLike<void>;\n\nexport type ChatOnDataCallback<UI_MESSAGE extends UIMessage> = (\n  dataPart: DataUIPart<InferUIMessageData<UI_MESSAGE>>,\n) => void;\n\n/**\n * Function that is called when the assistant response has finished streaming.\n *\n * @param message The assistant message that was streamed.\n * @param messages The full chat history, including the assistant message.\n *\n * @param isAbort Indicates whether the request has been aborted.\n * @param isDisconnect Indicates whether the request has been ended by a network error.\n * @param isError Indicates whether the request has been ended by an error.\n * @param finishReason The reason why the generation finished.\n */\nexport type ChatOnFinishCallback<UI_MESSAGE extends UIMessage> = (options: {\n  message: UI_MESSAGE;\n  messages: UI_MESSAGE[];\n  isAbort: boolean;\n  isDisconnect: boolean;\n  isError: boolean;\n  finishReason?: FinishReason;\n}) => void;\n\nexport interface ChatInit<UI_MESSAGE extends UIMessage> {\n  /**\n   * A unique identifier for the chat. If not provided, a random one will be\n   * generated.\n   */\n  id?: string;\n\n  messageMetadataSchema?: FlexibleSchema<UI_MESSAGE['metadata']>;\n  dataPartSchemas?: UIDataTypesToSchemas<InferUIMessageData<UI_MESSAGE>>;\n\n  messages?: UI_MESSAGE[];\n\n  /**\n   * A way to provide a function that is going to be used for ids for messages and the chat.\n   * If not provided the default AI SDK `generateId` is used.\n   */\n  generateId?: IdGenerator;\n\n  transport?: ChatTransport<UI_MESSAGE>;\n\n  /**\n   * Callback function to be called when an error is encountered.\n   */\n  onError?: ChatOnErrorCallback;\n\n  /**\n   * Optional callback function that is invoked when a tool call is received.\n   * Intended for automatic client-side tool execution.\n   *\n   * To add the tool output, call `addToolOutput` without awaiting it inside\n   * this callback. The callback's return value is not used.\n   */\n  onToolCall?: ChatOnToolCallCallback<UI_MESSAGE>;\n\n  /**\n   * Function that is called when the assistant response has finished streaming.\n   */\n  onFinish?: ChatOnFinishCallback<UI_MESSAGE>;\n\n  /**\n   * Optional callback function that is called when a data part is received.\n   *\n   * @param data The data part that was received.\n   */\n  onData?: ChatOnDataCallback<UI_MESSAGE>;\n\n  /**\n   * When provided, this function will be called when the stream is finished or a tool call is added\n   * to determine if the current messages should be resubmitted.\n   */\n  sendAutomaticallyWhen?: (options: {\n    messages: UI_MESSAGE[];\n  }) => boolean | PromiseLike<boolean>;\n}\n\nexport abstract class AbstractChat<UI_MESSAGE extends UIMessage> {\n  readonly id: string;\n  readonly generateId: IdGenerator;\n\n  protected state: ChatState<UI_MESSAGE>;\n\n  private messageMetadataSchema:\n    | FlexibleSchema<UI_MESSAGE['metadata']>\n    | undefined;\n  private dataPartSchemas:\n    | UIDataTypesToSchemas<InferUIMessageData<UI_MESSAGE>>\n    | undefined;\n  private readonly transport: ChatTransport<UI_MESSAGE>;\n  private onError?: ChatInit<UI_MESSAGE>['onError'];\n  private onToolCall?: ChatInit<UI_MESSAGE>['onToolCall'];\n  private onFinish?: ChatInit<UI_MESSAGE>['onFinish'];\n  private onData?: ChatInit<UI_MESSAGE>['onData'];\n  private sendAutomaticallyWhen?: ChatInit<UI_MESSAGE>['sendAutomaticallyWhen'];\n\n  private pendingMessagePreparations = new Set<AbortController>();\n  private activeResponse: ActiveResponse<UI_MESSAGE> | undefined = undefined;\n  private activeResumeRequest: ActiveResumeRequest | undefined = undefined;\n  private jobExecutor = new SerialJobExecutor();\n\n  constructor({\n    generateId = generateIdFunc,\n    id = generateId(),\n    transport = new DefaultChatTransport(),\n    messageMetadataSchema,\n    dataPartSchemas,\n    state,\n    onError,\n    onToolCall,\n    onFinish,\n    onData,\n    sendAutomaticallyWhen,\n  }: Omit<ChatInit<UI_MESSAGE>, 'messages'> & {\n    state: ChatState<UI_MESSAGE>;\n  }) {\n    this.id = id;\n    this.transport = transport;\n    this.generateId = generateId;\n    this.messageMetadataSchema = messageMetadataSchema;\n    this.dataPartSchemas = dataPartSchemas;\n    this.state = state;\n    this.onError = onError;\n    this.onToolCall = onToolCall;\n    this.onFinish = onFinish;\n    this.onData = onData;\n    this.sendAutomaticallyWhen = sendAutomaticallyWhen;\n  }\n\n  /**\n   * Hook status:\n   *\n   * - `submitted`: The message has been sent to the API and we're awaiting the start of the response stream.\n   * - `streaming`: The response is actively streaming in from the API, receiving chunks of data.\n   * - `ready`: The full response has been received and processed; a new user message can be submitted.\n   * - `error`: An error occurred during the API request, preventing successful completion.\n   */\n  get status(): ChatStatus {\n    return this.state.status;\n  }\n\n  protected setStatus({\n    status,\n    error,\n  }: {\n    status: ChatStatus;\n    error?: Error;\n  }) {\n    if (this.status === status) return;\n\n    this.state.status = status;\n    this.state.error = error;\n  }\n\n  get error() {\n    return this.state.error;\n  }\n\n  get messages(): UI_MESSAGE[] {\n    return this.state.messages;\n  }\n\n  get lastMessage(): UI_MESSAGE | undefined {\n    return this.state.messages[this.state.messages.length - 1];\n  }\n\n  set messages(messages: UI_MESSAGE[]) {\n    this.state.messages = messages;\n  }\n\n  /**\n   * Appends or replaces a user message to the chat list. This triggers the API call to fetch\n   * the assistant's response.\n   *\n   * If a messageId is provided, the message will be replaced.\n   */\n  sendMessage = async (\n    message?:\n      | (CreateUIMessage<UI_MESSAGE> & {\n          text?: never;\n          files?: never;\n          messageId?: string;\n        })\n      | {\n          text: string;\n          files?: FileList | FileUIPart[];\n          metadata?: InferUIMessageMetadata<UI_MESSAGE>;\n          parts?: never;\n          messageId?: string;\n        }\n      | {\n          files: FileList | FileUIPart[];\n          metadata?: InferUIMessageMetadata<UI_MESSAGE>;\n          parts?: never;\n          messageId?: string;\n        },\n    options?: ChatRequestOptions,\n  ): Promise<void> => {\n    if (message == null) {\n      await this.makeRequest({\n        trigger: 'submit-message',\n        messageId: this.lastMessage?.id,\n        ...options,\n      });\n      return;\n    }\n\n    let uiMessage: CreateUIMessage<UI_MESSAGE>;\n\n    if ('text' in message || 'files' in message) {\n      const abortController = new AbortController();\n      this.pendingMessagePreparations.add(abortController);\n\n      let fileParts: FileUIPart[];\n      try {\n        fileParts = Array.isArray(message.files)\n          ? message.files\n          : await convertFileListToFileUIParts(message.files);\n      } finally {\n        this.pendingMessagePreparations.delete(abortController);\n      }\n\n      if (abortController.signal.aborted) {\n        return;\n      }\n\n      uiMessage = {\n        parts: [\n          ...fileParts,\n          ...('text' in message && message.text != null\n            ? [{ type: 'text' as const, text: message.text }]\n            : []),\n        ],\n      } as UI_MESSAGE;\n    } else {\n      uiMessage = message;\n    }\n\n    if (message.messageId != null) {\n      const messageIndex = this.state.messages.findIndex(\n        m => m.id === message.messageId,\n      );\n\n      if (messageIndex === -1) {\n        throw new Error(`message with id ${message.messageId} not found`);\n      }\n\n      if (this.state.messages[messageIndex].role !== 'user') {\n        throw new Error(\n          `message with id ${message.messageId} is not a user message`,\n        );\n      }\n\n      // remove all messages after the message with the given id\n      this.state.messages = this.state.messages.slice(0, messageIndex + 1);\n\n      // update the message with the new content\n      this.state.replaceMessage(messageIndex, {\n        ...uiMessage,\n        id: message.messageId,\n        role: uiMessage.role ?? 'user',\n        metadata: message.metadata,\n      } as UI_MESSAGE);\n    } else {\n      this.state.pushMessage({\n        ...uiMessage,\n        id: uiMessage.id ?? this.generateId(),\n        role: uiMessage.role ?? 'user',\n        metadata: message.metadata,\n      } as UI_MESSAGE);\n    }\n\n    await this.makeRequest({\n      trigger: 'submit-message',\n      messageId: message.messageId,\n      ...options,\n    });\n  };\n\n  /**\n   * Regenerate the assistant message with the provided message id.\n   * If no message id is provided, the last assistant message will be regenerated.\n   */\n  regenerate = async ({\n    messageId,\n    ...options\n  }: {\n    messageId?: string;\n  } & ChatRequestOptions = {}): Promise<void> => {\n    const messageIndex =\n      messageId == null\n        ? this.state.messages.length - 1\n        : this.state.messages.findIndex(message => message.id === messageId);\n\n    if (messageIndex === -1) {\n      throw new Error(`message ${messageId} not found`);\n    }\n\n    // set the messages to the message before the assistant message\n    this.state.messages = this.state.messages.slice(\n      0,\n      // if the message is a user message, we need to include it in the request:\n      this.messages[messageIndex].role === 'assistant'\n        ? messageIndex\n        : messageIndex + 1,\n    );\n\n    await this.makeRequest({\n      trigger: 'regenerate-message',\n      messageId,\n      ...options,\n    });\n  };\n\n  /**\n   * Attempt to resume an ongoing streaming response.\n   */\n  resumeStream = async (options: ChatRequestOptions = {}): Promise<void> => {\n    await this.makeRequest({ trigger: 'resume-stream', ...options });\n  };\n\n  /**\n   * Clear the error state and set the status to ready if the chat is in an error state.\n   */\n  clearError = () => {\n    if (this.status === 'error') {\n      this.state.error = undefined;\n      this.setStatus({ status: 'ready' });\n    }\n  };\n\n  addToolApprovalResponse: ChatAddToolApproveResponseFunction = async ({\n    id,\n    approved,\n    reason,\n    options,\n  }) =>\n    this.jobExecutor.run(async () => {\n      const messages = this.state.messages;\n      const lastMessage = messages[messages.length - 1];\n\n      const updatePart = (\n        part: UIMessagePart<UIDataTypes, UITools>,\n      ): UIMessagePart<UIDataTypes, UITools> =>\n        isToolUIPart(part) &&\n        part.state === 'approval-requested' &&\n        part.approval.id === id\n          ? {\n              ...part,\n              state: 'approval-responded',\n              approval: { ...part.approval, id, approved, reason },\n            }\n          : part;\n\n      // update the message to trigger an immediate UI update\n      this.state.replaceMessage(messages.length - 1, {\n        ...lastMessage,\n        parts: lastMessage.parts.map(updatePart),\n      });\n\n      // update the active response if it exists\n      if (this.activeResponse) {\n        this.activeResponse.state.message.parts =\n          this.activeResponse.state.message.parts.map(updatePart);\n      }\n\n      // automatically send the message if the sendAutomaticallyWhen function returns true\n      if (\n        this.status !== 'streaming' &&\n        this.status !== 'submitted' &&\n        this.sendAutomaticallyWhen\n      ) {\n        this.shouldSendAutomatically().then(shouldSend => {\n          if (shouldSend) {\n            // no await to avoid deadlocking\n            this.makeRequest({\n              trigger: 'submit-message',\n              messageId: this.lastMessage?.id,\n              ...options,\n            });\n          }\n        });\n      }\n    });\n\n  addToolOutput: ChatAddToolOutputFunction<UI_MESSAGE> = async ({\n    state = 'output-available',\n    toolCallId,\n    output,\n    errorText,\n    options,\n  }) =>\n    this.jobExecutor.run(async () => {\n      const messages = this.state.messages;\n      const lastMessage = messages[messages.length - 1];\n\n      const updatePart = (\n        part: UIMessagePart<UIDataTypes, UITools>,\n      ): UIMessagePart<UIDataTypes, UITools> =>\n        isToolUIPart(part) && part.toolCallId === toolCallId\n          ? ({ ...part, state, output, errorText } as typeof part)\n          : part;\n\n      // update the message to trigger an immediate UI update\n      this.state.replaceMessage(messages.length - 1, {\n        ...lastMessage,\n        parts: lastMessage.parts.map(updatePart),\n      });\n\n      // update the active response if it exists\n      if (this.activeResponse) {\n        this.activeResponse.state.message.parts =\n          this.activeResponse.state.message.parts.map(updatePart);\n      }\n\n      // automatically send the message if the sendAutomaticallyWhen function returns true\n      if (\n        this.status !== 'streaming' &&\n        this.status !== 'submitted' &&\n        this.sendAutomaticallyWhen\n      ) {\n        this.shouldSendAutomatically().then(shouldSend => {\n          if (shouldSend) {\n            // no await to avoid deadlocking\n            this.makeRequest({\n              trigger: 'submit-message',\n              messageId: this.lastMessage?.id,\n              ...options,\n            });\n          }\n        });\n      }\n    });\n\n  /** @deprecated Use addToolOutput */\n  addToolResult = this.addToolOutput;\n\n  /**\n   * Abort the current request immediately, keep the generated tokens if any.\n   */\n  stop = async () => {\n    for (const controller of this.pendingMessagePreparations) {\n      controller.abort();\n    }\n    this.activeResumeRequest?.abortController.abort();\n    this.activeResponse?.abortController.abort();\n  };\n\n  private async shouldSendAutomatically(): Promise<boolean> {\n    if (!this.sendAutomaticallyWhen) return false;\n\n    const result = this.sendAutomaticallyWhen({\n      messages: this.state.messages,\n    });\n\n    // Check if result is a promise\n    if (result && typeof result === 'object' && 'then' in result) {\n      return await result;\n    }\n\n    return result as boolean;\n  }\n\n  private async makeRequest({\n    trigger,\n    metadata,\n    headers,\n    body,\n    messageId,\n  }: {\n    trigger: 'submit-message' | 'resume-stream' | 'regenerate-message';\n    messageId?: string;\n  } & ChatRequestOptions) {\n    const abortController = new AbortController();\n    const activeResumeRequest =\n      trigger === 'resume-stream' ? { abortController } : undefined;\n\n    if (activeResumeRequest) {\n      this.activeResumeRequest?.abortController.abort();\n      this.activeResumeRequest = activeResumeRequest;\n    }\n\n    const isCurrentRequest = () =>\n      activeResumeRequest == null ||\n      this.activeResumeRequest === activeResumeRequest;\n\n    const clearActiveResumeRequest = () => {\n      if (this.activeResumeRequest === activeResumeRequest) {\n        this.activeResumeRequest = undefined;\n      }\n    };\n\n    // For resume-stream, check if there's an active stream before\n    // changing status. This avoids a brief flash of 'submitted' status\n    // when there is no stream to resume (e.g. on page load).\n    let resumeStream: ReadableStream<UIMessageChunk> | undefined;\n    if (trigger === 'resume-stream') {\n      try {\n        const reconnect = await this.transport.reconnectToStream({\n          chatId: this.id,\n          abortSignal: abortController.signal,\n          metadata,\n          headers,\n          body,\n        });\n\n        if (abortController.signal.aborted || !isCurrentRequest()) {\n          await reconnect?.cancel().catch(() => {});\n          if (isCurrentRequest()) {\n            this.setStatus({ status: 'ready' });\n          }\n          clearActiveResumeRequest();\n          return;\n        }\n\n        if (reconnect == null) {\n          this.setStatus({ status: 'ready' });\n          clearActiveResumeRequest();\n          return; // no active stream found, so we do not resume\n        }\n\n        resumeStream = reconnect;\n      } catch (err) {\n        if (\n          abortController.signal.aborted ||\n          (err as { name?: string }).name === 'AbortError'\n        ) {\n          if (isCurrentRequest()) {\n            this.setStatus({ status: 'ready' });\n          }\n          clearActiveResumeRequest();\n          return;\n        }\n\n        if (!isCurrentRequest()) {\n          return;\n        }\n\n        if (this.onError && err instanceof Error) {\n          this.onError(err);\n        }\n        this.setStatus({ status: 'error', error: err as Error });\n        clearActiveResumeRequest();\n        return;\n      }\n    }\n\n    this.setStatus({ status: 'submitted', error: undefined });\n\n    const lastMessage = this.lastMessage;\n\n    let isAbort = false;\n    let isDisconnect = false;\n    let isError = false;\n    let activeResponse: ActiveResponse<UI_MESSAGE> | undefined;\n\n    try {\n      const response = {\n        state: createStreamingUIMessageState({\n          lastMessage:\n            trigger === 'resume-stream' || trigger === 'regenerate-message'\n              ? undefined\n              : this.state.snapshot(lastMessage),\n          messageId: this.generateId(),\n        }),\n        abortController,\n      } as ActiveResponse<UI_MESSAGE>;\n\n      activeResponse = response;\n\n      response.abortController.signal.addEventListener('abort', () => {\n        isAbort = true;\n      });\n\n      this.activeResponse = response;\n\n      let stream: ReadableStream<UIMessageChunk>;\n\n      if (trigger === 'resume-stream') {\n        stream = resumeStream!;\n      } else {\n        stream = await this.transport.sendMessages({\n          chatId: this.id,\n          messages: this.state.messages,\n          abortSignal: response.abortController.signal,\n          metadata,\n          headers,\n          body,\n          trigger,\n          messageId,\n        });\n      }\n\n      const runUpdateMessageJob = (\n        job: (options: {\n          state: StreamingUIMessageState<UI_MESSAGE>;\n          write: (options?: UIMessageStreamWriteOptions) => void;\n        }) => Promise<void>,\n      ) =>\n        // serialize the job execution to avoid race conditions:\n        this.jobExecutor.run(() => {\n          if (response.abortController.signal.aborted) {\n            return Promise.resolve();\n          }\n\n          return job({\n            state: response.state,\n            write: ({ updateStatus = true } = {}) => {\n              if (response.abortController.signal.aborted) {\n                return;\n              }\n\n              if (updateStatus) {\n                this.setStatus({ status: 'streaming' });\n              }\n\n              const replaceLastMessage =\n                response.state.message.id === this.lastMessage?.id;\n\n              if (replaceLastMessage) {\n                this.state.replaceMessage(\n                  this.state.messages.length - 1,\n                  response.state.message,\n                );\n              } else {\n                this.state.pushMessage(response.state.message);\n              }\n            },\n          });\n        });\n\n      await consumeStream({\n        stream: processUIMessageStream({\n          stream,\n          onToolCall: this.onToolCall,\n          onData: this.onData,\n          messageMetadataSchema: this.messageMetadataSchema,\n          dataPartSchemas: this.dataPartSchemas,\n          runUpdateMessageJob,\n          onError: error => {\n            throw error;\n          },\n        }),\n        abortSignal: response.abortController.signal,\n        onError: error => {\n          throw error;\n        },\n      });\n\n      if (isAbort) {\n        if (isCurrentRequest()) {\n          this.setStatus({ status: 'ready' });\n        }\n        return null;\n      }\n\n      if (isCurrentRequest()) {\n        this.setStatus({ status: 'ready' });\n      }\n    } catch (err) {\n      // Ignore abort errors as they are expected.\n      if (isAbort || (err as any).name === 'AbortError') {\n        isAbort = true;\n        if (isCurrentRequest()) {\n          this.setStatus({ status: 'ready' });\n        }\n        return null;\n      }\n\n      if (!isCurrentRequest()) {\n        return null;\n      }\n\n      isError = true;\n\n      // Network errors such as disconnected, timeout, etc.\n      if (\n        err instanceof TypeError &&\n        (err.message.toLowerCase().includes('fetch') ||\n          err.message.toLowerCase().includes('network'))\n      ) {\n        isDisconnect = true;\n      }\n\n      if (this.onError && err instanceof Error) {\n        this.onError(err);\n      }\n\n      this.setStatus({ status: 'error', error: err as Error });\n    } finally {\n      try {\n        if (activeResponse) {\n          this.onFinish?.({\n            message: activeResponse.state.message,\n            messages: this.state.messages,\n            isAbort,\n            isDisconnect,\n            isError,\n            finishReason: activeResponse.state.finishReason,\n          });\n        }\n      } finally {\n        if (this.activeResponse === activeResponse) {\n          this.activeResponse = undefined;\n        }\n\n        clearActiveResumeRequest();\n      }\n    }\n\n    // automatically send the message if the sendAutomaticallyWhen function returns true\n    if (!isError && (await this.shouldSendAutomatically())) {\n      await this.makeRequest({\n        trigger: 'submit-message',\n        messageId: this.lastMessage?.id,\n        metadata,\n        headers,\n        body,\n      });\n    }\n  }\n}\n", "import type { FileUIPart } from './ui-messages';\n\nexport async function convertFileListToFileUIParts(\n  files: FileList | undefined,\n): Promise<Array<FileUIPart>> {\n  if (files == null) {\n    return [];\n  }\n\n  // React-native doesn't have a FileList global:\n  if (!globalThis.FileList || !(files instanceof globalThis.FileList)) {\n    throw new Error('FileList is not supported in the current environment');\n  }\n\n  return Promise.all(\n    Array.from(files).map(async file => {\n      const { name, type } = file;\n\n      const dataUrl = await new Promise<string>((resolve, reject) => {\n        const reader = new FileReader();\n        reader.onload = readerEvent => {\n          resolve(readerEvent.target?.result as string);\n        };\n        reader.onerror = error => reject(error);\n        reader.readAsDataURL(file);\n      });\n\n      return {\n        type: 'file',\n        mediaType: type,\n        filename: name,\n        url: dataUrl,\n      };\n    }),\n  );\n}\n", "import { parseJsonEventStream, type ParseResult } from '@ai-sdk/provider-utils';\nimport {\n  uiMessageChunkSchema,\n  type UIMessageChunk,\n} from '../ui-message-stream/ui-message-chunks';\nimport {\n  HttpChatTransport,\n  type HttpChatTransportInitOptions,\n} from './http-chat-transport';\nimport type { UIMessage } from './ui-messages';\n\nexport class DefaultChatTransport<\n  UI_MESSAGE extends UIMessage,\n> extends HttpChatTransport<UI_MESSAGE> {\n  constructor(options: HttpChatTransportInitOptions<UI_MESSAGE> = {}) {\n    super(options);\n  }\n\n  protected processResponseStream(\n    stream: ReadableStream<Uint8Array<ArrayBufferLike>>,\n  ): ReadableStream<UIMessageChunk> {\n    return parseJsonEventStream({\n      stream,\n      schema: uiMessageChunkSchema,\n    }).pipeThrough(\n      new TransformStream<ParseResult<UIMessageChunk>, UIMessageChunk>({\n        async transform(chunk, controller) {\n          if (!chunk.success) {\n            throw chunk.error;\n          }\n          controller.enqueue(chunk.value);\n        },\n      }),\n    );\n  }\n}\n", "import {\n  normalizeHeaders,\n  resolve,\n  type FetchFunction,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport type { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';\nimport type { ChatTransport } from './chat-transport';\nimport type { UIMessage } from './ui-messages';\n\nexport type PrepareSendMessagesRequest<UI_MESSAGE extends UIMessage> = (\n  options: {\n    id: string;\n    messages: UI_MESSAGE[];\n    requestMetadata: unknown;\n    body: Record<string, any> | undefined;\n    credentials: RequestCredentials | undefined;\n    headers: HeadersInit | undefined;\n    api: string;\n  } & {\n    trigger: 'submit-message' | 'regenerate-message';\n    messageId: string | undefined;\n  },\n) =>\n  | {\n      body: object;\n      headers?: HeadersInit;\n      credentials?: RequestCredentials;\n      api?: string;\n    }\n  | PromiseLike<{\n      body: object;\n      headers?: HeadersInit;\n      credentials?: RequestCredentials;\n      api?: string;\n    }>;\n\nexport type PrepareReconnectToStreamRequest = (options: {\n  id: string;\n  requestMetadata: unknown;\n  body: Record<string, any> | undefined;\n  credentials: RequestCredentials | undefined;\n  headers: HeadersInit | undefined;\n  api: string;\n}) =>\n  | {\n      headers?: HeadersInit;\n      credentials?: RequestCredentials;\n      api?: string;\n    }\n  | PromiseLike<{\n      headers?: HeadersInit;\n      credentials?: RequestCredentials;\n      api?: string;\n    }>;\n\n/**\n * Options for the `HttpChatTransport` class.\n *\n * @param UI_MESSAGE - The type of message to be used in the chat.\n */\nexport type HttpChatTransportInitOptions<UI_MESSAGE extends UIMessage> = {\n  /**\n   * The API URL to be used for the chat transport.\n   * Defaults to '/api/chat'.\n   */\n  api?: string;\n\n  /**\n   * The credentials mode to be used for the fetch request.\n   * Possible values are: 'omit', 'same-origin', 'include'.\n   * Defaults to 'same-origin'.\n   */\n  credentials?: Resolvable<RequestCredentials>;\n\n  /**\n   * HTTP headers to be sent with the API request.\n   */\n  headers?: Resolvable<Record<string, string> | Headers>;\n\n  /**\n   * Extra body object to be sent with the API request.\n   * @example\n   * Send a `sessionId` to the API along with the messages.\n   * ```js\n   * useChat({\n   *   body: {\n   *     sessionId: '123',\n   *   }\n   * })\n   * ```\n   */\n  body?: Resolvable<object>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * When a function is provided, it will be used\n   * to prepare the request body for the chat API. This can be useful for\n   * customizing the request body based on the messages and data in the chat.\n   */\n  prepareSendMessagesRequest?: PrepareSendMessagesRequest<UI_MESSAGE>;\n\n  /**\n   * When a function is provided, it will be used\n   * to prepare the reconnect request for the chat API. This can be useful for\n   * customizing the request based on the chat session.\n   */\n  prepareReconnectToStreamRequest?: PrepareReconnectToStreamRequest;\n};\n\nexport abstract class HttpChatTransport<\n  UI_MESSAGE extends UIMessage,\n> implements ChatTransport<UI_MESSAGE> {\n  protected api: string;\n  protected credentials: HttpChatTransportInitOptions<UI_MESSAGE>['credentials'];\n  protected headers: HttpChatTransportInitOptions<UI_MESSAGE>['headers'];\n  protected body: HttpChatTransportInitOptions<UI_MESSAGE>['body'];\n  protected fetch?: FetchFunction;\n  protected prepareSendMessagesRequest?: PrepareSendMessagesRequest<UI_MESSAGE>;\n  protected prepareReconnectToStreamRequest?: PrepareReconnectToStreamRequest;\n\n  constructor({\n    api = '/api/chat',\n    credentials,\n    headers,\n    body,\n    fetch,\n    prepareSendMessagesRequest,\n    prepareReconnectToStreamRequest,\n  }: HttpChatTransportInitOptions<UI_MESSAGE>) {\n    this.api = api;\n    this.credentials = credentials;\n    this.headers = headers;\n    this.body = body;\n    this.fetch = fetch;\n    this.prepareSendMessagesRequest = prepareSendMessagesRequest;\n    this.prepareReconnectToStreamRequest = prepareReconnectToStreamRequest;\n  }\n\n  async sendMessages({\n    abortSignal,\n    ...options\n  }: Parameters<ChatTransport<UI_MESSAGE>['sendMessages']>[0]) {\n    const resolvedBody = await resolve(this.body);\n    const resolvedHeaders = await resolve(this.headers);\n    const resolvedCredentials = await resolve(this.credentials);\n\n    const baseHeaders = {\n      ...normalizeHeaders(resolvedHeaders),\n      ...normalizeHeaders(options.headers),\n    };\n\n    const preparedRequest = await this.prepareSendMessagesRequest?.({\n      api: this.api,\n      id: options.chatId,\n      messages: options.messages,\n      body: { ...resolvedBody, ...options.body },\n      headers: baseHeaders,\n      credentials: resolvedCredentials,\n      requestMetadata: options.metadata,\n      trigger: options.trigger,\n      messageId: options.messageId,\n    });\n\n    const api = preparedRequest?.api ?? this.api;\n    const headers =\n      preparedRequest?.headers !== undefined\n        ? normalizeHeaders(preparedRequest.headers)\n        : baseHeaders;\n    const body =\n      preparedRequest?.body !== undefined\n        ? preparedRequest.body\n        : {\n            ...resolvedBody,\n            ...options.body,\n            id: options.chatId,\n            messages: options.messages,\n            trigger: options.trigger,\n            messageId: options.messageId,\n          };\n    const credentials = preparedRequest?.credentials ?? resolvedCredentials;\n\n    // avoid caching globalThis.fetch in case it is patched by other libraries\n    const fetch = this.fetch ?? globalThis.fetch;\n\n    const response = await fetch(api, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        ...headers,\n      },\n      body: JSON.stringify(body),\n      credentials,\n      signal: abortSignal,\n    });\n\n    if (!response.ok) {\n      throw new Error(\n        (await response.text()) ?? 'Failed to fetch the chat response.',\n      );\n    }\n\n    if (!response.body) {\n      throw new Error('The response body is empty.');\n    }\n\n    return this.processResponseStream(response.body);\n  }\n\n  async reconnectToStream(\n    options: Parameters<ChatTransport<UI_MESSAGE>['reconnectToStream']>[0],\n  ): Promise<ReadableStream<UIMessageChunk> | null> {\n    const resolvedBody = await resolve(this.body);\n    const resolvedHeaders = await resolve(this.headers);\n    const resolvedCredentials = await resolve(this.credentials);\n\n    const baseHeaders = {\n      ...normalizeHeaders(resolvedHeaders),\n      ...normalizeHeaders(options.headers),\n    };\n\n    const preparedRequest = await this.prepareReconnectToStreamRequest?.({\n      api: this.api,\n      id: options.chatId,\n      body: { ...resolvedBody, ...options.body },\n      headers: baseHeaders,\n      credentials: resolvedCredentials,\n      requestMetadata: options.metadata,\n    });\n\n    const api = preparedRequest?.api ?? `${this.api}/${options.chatId}/stream`;\n    const headers =\n      preparedRequest?.headers !== undefined\n        ? normalizeHeaders(preparedRequest.headers)\n        : baseHeaders;\n    const credentials = preparedRequest?.credentials ?? resolvedCredentials;\n\n    // avoid caching globalThis.fetch in case it is patched by other libraries\n    const fetch = this.fetch ?? globalThis.fetch;\n\n    const response = await fetch(api, {\n      method: 'GET',\n      headers,\n      credentials,\n      signal: options.abortSignal,\n    });\n\n    // no active stream found, so we do not resume\n    if (response.status === 204) {\n      return null;\n    }\n\n    if (!response.ok) {\n      throw new Error(\n        (await response.text()) ?? 'Failed to fetch the chat response.',\n      );\n    }\n\n    if (!response.body) {\n      throw new Error('The response body is empty.');\n    }\n\n    return this.processResponseStream(response.body);\n  }\n\n  protected abstract processResponseStream(\n    stream: ReadableStream<Uint8Array<ArrayBufferLike>>,\n  ): ReadableStream<UIMessageChunk>;\n}\n", "import type { Context, Tool, ToolSet } from '@ai-sdk/provider-utils';\nimport type { Agent } from '../agent/agent';\nimport type { Output } from '../generate-text/output';\nimport type { UIMessageStreamOptions } from '../generate-text/stream-text-result';\nimport { toUIMessageStream } from '../ui-message-stream/to-ui-message-stream';\nimport type { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';\nimport type { ChatTransport } from './chat-transport';\nimport { convertToModelMessages } from './convert-to-model-messages';\nimport type {\n  InferUIMessageTools,\n  InferUITools,\n  UIMessage,\n} from './ui-messages';\nimport { validateUIMessages } from './validate-ui-messages';\n\n/**\n * Options for the `DirectChatTransport` class.\n */\nexport type DirectChatTransportOptions<\n  CALL_OPTIONS,\n  TOOLS extends ToolSet,\n  RUNTIME_CONTEXT extends Context,\n  OUTPUT extends Output,\n  UI_MESSAGE extends UIMessage<unknown, never, InferUITools<TOOLS>>,\n> = {\n  /**\n   * The agent to use for generating responses.\n   */\n  agent: Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n\n  /**\n   * Options to pass to the agent when calling it.\n   */\n  options?: CALL_OPTIONS;\n} & Omit<UIMessageStreamOptions<UI_MESSAGE>, 'onFinish'>;\n\n/**\n * A transport that directly communicates with an Agent in-process,\n * without going through HTTP. This is useful for:\n * - Server-side rendering scenarios\n * - Testing without network\n * - Single-process applications\n *\n * @example\n * ```tsx\n * import { useChat } from '@ai-sdk/react';\n * import { DirectChatTransport } from 'ai';\n * import { myAgent } from './my-agent';\n *\n * const { messages, sendMessage } = useChat({\n *   transport: new DirectChatTransport({ agent: myAgent }),\n * });\n * ```\n */\nexport class DirectChatTransport<\n  CALL_OPTIONS = never,\n  TOOLS extends ToolSet = {},\n  RUNTIME_CONTEXT extends Context = Context,\n  OUTPUT extends Output = never,\n  UI_MESSAGE extends UIMessage<unknown, never, InferUITools<TOOLS>> = UIMessage<\n    unknown,\n    never,\n    InferUITools<TOOLS>\n  >,\n> implements ChatTransport<UI_MESSAGE> {\n  private readonly agent: Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>;\n  private readonly agentOptions: CALL_OPTIONS | undefined;\n  private readonly uiMessageStreamOptions: Omit<\n    UIMessageStreamOptions<UI_MESSAGE>,\n    'onFinish'\n  >;\n\n  constructor({\n    agent,\n    options,\n    ...uiMessageStreamOptions\n  }: DirectChatTransportOptions<\n    CALL_OPTIONS,\n    TOOLS,\n    RUNTIME_CONTEXT,\n    OUTPUT,\n    UI_MESSAGE\n  >) {\n    this.agent = agent;\n    this.agentOptions = options;\n    this.uiMessageStreamOptions = uiMessageStreamOptions;\n  }\n\n  async sendMessages({\n    messages,\n    abortSignal,\n  }: Parameters<ChatTransport<UI_MESSAGE>['sendMessages']>[0]): Promise<\n    ReadableStream<UIMessageChunk>\n  > {\n    // Validate the incoming UI messages\n    const validatedMessages = await validateUIMessages<UI_MESSAGE>({\n      messages,\n      // tools are compatible; the casting is required because the context param is\n      // not available in ui messages\n      tools: this.agent.tools as unknown as {\n        [NAME in keyof InferUIMessageTools<UI_MESSAGE> & string]?: Tool<\n          InferUIMessageTools<UI_MESSAGE>[NAME]['input'],\n          InferUIMessageTools<UI_MESSAGE>[NAME]['output']\n        >;\n      },\n    });\n\n    // Convert UI messages to model messages\n    const modelMessages = await convertToModelMessages(validatedMessages, {\n      tools: this.agent.tools,\n    });\n\n    // Stream from the agent\n    const result = await this.agent.stream({\n      prompt: modelMessages,\n      abortSignal,\n      ...(this.agentOptions !== undefined\n        ? { options: this.agentOptions }\n        : {}),\n    } as Parameters<\n      Agent<CALL_OPTIONS, TOOLS, RUNTIME_CONTEXT, OUTPUT>['stream']\n    >[0]);\n\n    // Return the UI message stream\n    return toUIMessageStream({\n      ...this.uiMessageStreamOptions,\n      stream: result.stream,\n      tools: this.agent.tools,\n    });\n  }\n\n  /**\n   * Direct transport does not support reconnection since there is no\n   * persistent server-side stream to reconnect to.\n   *\n   * @returns Always returns `null`\n   */\n  async reconnectToStream(\n    _options: Parameters<ChatTransport<UI_MESSAGE>['reconnectToStream']>[0],\n  ): Promise<ReadableStream<UIMessageChunk> | null> {\n    return null;\n  }\n}\n", "import { isToolUIPart, type UIMessage } from './ui-messages';\n/**\n * Check if the last message is an assistant message with completed tool call approvals.\n * The last step of the message must have at least one tool approval response and\n * all tool approvals must have a response.\n */\nexport function lastAssistantMessageIsCompleteWithApprovalResponses({\n  messages,\n}: {\n  messages: UIMessage[];\n}): boolean {\n  const message = messages[messages.length - 1];\n\n  if (!message) {\n    return false;\n  }\n\n  if (message.role !== 'assistant') {\n    return false;\n  }\n\n  const lastStepStartIndex = message.parts.reduce((lastIndex, part, index) => {\n    return part.type === 'step-start' ? index : lastIndex;\n  }, -1);\n\n  const lastStepToolInvocations = message.parts\n    .slice(lastStepStartIndex + 1)\n    .filter(isToolUIPart);\n\n  return (\n    // has at least one tool approval response\n    lastStepToolInvocations.filter(part => part.state === 'approval-responded')\n      .length > 0 &&\n    // all tool approvals must have a response\n    lastStepToolInvocations.every(\n      part =>\n        part.state === 'output-available' ||\n        part.state === 'output-error' ||\n        part.state === 'approval-responded',\n    )\n  );\n}\n", "import { isToolUIPart, type UIMessage } from './ui-messages';\n/**\n * Check if the last message is an assistant message with completed tool calls.\n * The last step of the message must have at least one tool invocation and\n * all tool invocations must have a result.\n */\nexport function lastAssistantMessageIsCompleteWithToolCalls({\n  messages,\n}: {\n  messages: UIMessage[];\n}): boolean {\n  const message = messages[messages.length - 1];\n\n  if (!message) {\n    return false;\n  }\n\n  if (message.role !== 'assistant') {\n    return false;\n  }\n\n  const lastStepStartIndex = message.parts.reduce((lastIndex, part, index) => {\n    return part.type === 'step-start' ? index : lastIndex;\n  }, -1);\n\n  const lastStepToolInvocations = message.parts\n    .slice(lastStepStartIndex + 1)\n    .filter(isToolUIPart)\n    .filter(part => !part.providerExecuted);\n\n  return (\n    lastStepToolInvocations.length > 0 &&\n    lastStepToolInvocations.every(\n      part =>\n        part.state === 'output-available' || part.state === 'output-error',\n    )\n  );\n}\n", "import type { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';\n\nexport function transformTextToUiMessageStream({\n  stream,\n}: {\n  stream: ReadableStream<string>;\n}) {\n  return stream.pipeThrough(\n    new TransformStream<string, UIMessageChunk>({\n      start(controller) {\n        controller.enqueue({ type: 'start' });\n        controller.enqueue({ type: 'start-step' });\n        controller.enqueue({ type: 'text-start', id: 'text-1' });\n      },\n\n      async transform(part, controller) {\n        controller.enqueue({ type: 'text-delta', id: 'text-1', delta: part });\n      },\n\n      async flush(controller) {\n        controller.enqueue({ type: 'text-end', id: 'text-1' });\n        controller.enqueue({ type: 'finish-step' });\n        controller.enqueue({ type: 'finish' });\n      },\n    }),\n  );\n}\n", "import type { UIMessageChunk } from '../ui-message-stream/ui-message-chunks';\nimport {\n  HttpChatTransport,\n  type HttpChatTransportInitOptions,\n} from './http-chat-transport';\nimport { transformTextToUiMessageStream } from './transform-text-to-ui-message-stream';\nimport type { UIMessage } from './ui-messages';\n\nexport class TextStreamChatTransport<\n  UI_MESSAGE extends UIMessage,\n> extends HttpChatTransport<UI_MESSAGE> {\n  constructor(options: HttpChatTransportInitOptions<UI_MESSAGE> = {}) {\n    super(options);\n  }\n\n  protected processResponseStream(\n    stream: ReadableStream<Uint8Array<ArrayBufferLike>>,\n  ): ReadableStream<UIMessageChunk> {\n    return transformTextToUiMessageStream({\n      stream: stream.pipeThrough(new TextDecoderStream()),\n    });\n  }\n}\n", "import type {\n  FilesV4,\n  FilesV4UploadFileCallOptions,\n  ProviderV4,\n} from '@ai-sdk/provider';\nimport {\n  convertBase64ToUint8Array,\n  detectMediaType,\n} from '@ai-sdk/provider-utils';\nimport type { ProviderMetadata } from '../types/provider-metadata';\nimport type { ProviderReference } from '../types/provider-reference';\nimport type { Warning } from '../types/warning';\nimport type { UploadFileResult } from './upload-file-result';\n\n/**\n * Uploads a file using a files API interface.\n *\n * @param api - The Files API interface to use for uploading.\n * @param data - The file data to upload (tagged `{ type: 'data' | 'text' }`).\n * @param mediaType - Optional IANA media type. Auto-detected from file bytes\n * when omitted (falls back to `text/plain` for the `text` variant).\n * @param filename - Optional filename for the uploaded file.\n * @param providerOptions - Additional provider-specific options.\n *\n * @returns A result object containing the provider reference and optional metadata.\n */\nexport async function uploadFile({\n  api,\n  data: dataArg,\n  mediaType: mediaTypeArg,\n  filename,\n  providerOptions,\n}: {\n  /**\n   * The files API interface to use for uploading.\n   * Can be a `FilesV4` instance or a `ProviderV4` instance with a `files()` method.\n   */\n  api: FilesV4 | ProviderV4;\n} & Omit<FilesV4UploadFileCallOptions, 'mediaType' | 'data'> & {\n    /**\n     * The file data. Accepts the tagged `{ type: 'data' | 'text' }` shapes, or\n     * the shorthand `Uint8Array | string` (treated as `{ type: 'data', data }`).\n     */\n    data: FilesV4UploadFileCallOptions['data'] | Uint8Array | string;\n\n    /**\n     * Optional IANA media type of the file. Auto-detected from file bytes when\n     * omitted; falls back to `text/plain` for the `text` variant.\n     */\n    mediaType?: string;\n  }): Promise<UploadFileResult> {\n  const data: FilesV4UploadFileCallOptions['data'] =\n    dataArg instanceof Uint8Array || typeof dataArg === 'string'\n      ? { type: 'data', data: dataArg }\n      : dataArg;\n\n  const mediaType =\n    mediaTypeArg ??\n    (data.type === 'text'\n      ? 'text/plain'\n      : (detectMediaType({ data: data.data }) ??\n        (isLikelyText(data.data) ? 'text/plain' : 'application/octet-stream')));\n\n  const filesApi: FilesV4 =\n    'uploadFile' in api\n      ? api\n      : typeof api.files === 'function'\n        ? api.files()\n        : (() => {\n            throw new Error(\n              'The provider does not support file uploads. Make sure it exposes a files() method.',\n            );\n          })();\n\n  const result = await filesApi.uploadFile({\n    data,\n    mediaType,\n    filename,\n    providerOptions,\n  });\n\n  return new DefaultUploadFileResult({\n    providerReference: result.providerReference,\n    mediaType: result.mediaType,\n    filename: result.filename,\n    providerMetadata: result.providerMetadata,\n    warnings: result.warnings,\n  });\n}\n\nclass DefaultUploadFileResult implements UploadFileResult {\n  readonly providerReference: ProviderReference;\n  readonly mediaType?: string;\n  readonly filename?: string;\n  readonly providerMetadata?: ProviderMetadata;\n  readonly warnings: Array<Warning>;\n\n  constructor(options: {\n    providerReference: ProviderReference;\n    mediaType?: string;\n    filename?: string;\n    providerMetadata?: ProviderMetadata;\n    warnings: Array<Warning>;\n  }) {\n    this.providerReference = options.providerReference;\n    this.mediaType = options.mediaType;\n    this.filename = options.filename;\n    this.providerMetadata = options.providerMetadata;\n    this.warnings = options.warnings;\n  }\n}\n\nfunction isLikelyText(data: Uint8Array | string): boolean {\n  /*\n   * Limit checks to 512 bytes for performance.\n   * 4 base64 characters represent 3 bytes, and we use a small margin of 4 bytes just to be safe.\n   */\n  const CHECK_LENGTH = 512;\n  const BASE64_CHECK_LENGTH = Math.ceil((CHECK_LENGTH + 4) / 3) * 4;\n\n  const bytes =\n    typeof data === 'string'\n      ? convertBase64ToUint8Array(\n          data.substring(0, Math.min(data.length, BASE64_CHECK_LENGTH)),\n        )\n      : data;\n\n  const checkLength = Math.min(bytes.length, CHECK_LENGTH);\n  if (checkLength === 0) return false;\n\n  for (let i = 0; i < checkLength; i++) {\n    const byte = bytes[i];\n    if (\n      byte === 0x00 ||\n      (byte < 0x20 && byte !== 0x09 && byte !== 0x0a && byte !== 0x0d)\n    ) {\n      return false;\n    }\n  }\n  return true;\n}\n", "import type {\n  ProviderV4,\n  SkillsV4,\n  SkillsV4File,\n  SkillsV4UploadSkillCallOptions,\n} from '@ai-sdk/provider';\nimport type { UploadSkillResult } from './upload-skill-result';\n\ntype UploadSkillFile = Omit<SkillsV4File, 'data'> & {\n  /**\n   * The file data. Accepts the tagged `{ type: 'data' | 'text' }` shapes, or\n   * the shorthand `Uint8Array | string` (treated as `{ type: 'data', data }`).\n   */\n  data: SkillsV4File['data'] | Uint8Array | string;\n};\n\nexport async function uploadSkill({\n  api,\n  files,\n  displayTitle,\n  providerOptions,\n}: {\n  api: SkillsV4 | ProviderV4;\n} & Omit<SkillsV4UploadSkillCallOptions, 'files'> & {\n    files: UploadSkillFile[];\n  }): Promise<UploadSkillResult> {\n  const skillsApi: SkillsV4 =\n    'uploadSkill' in api\n      ? api\n      : typeof api.skills === 'function'\n        ? api.skills()\n        : (() => {\n            throw new Error(\n              'The provider does not support skills. Make sure it exposes a skills() method.',\n            );\n          })();\n\n  const normalizedFiles: SkillsV4File[] = files.map(file => ({\n    ...file,\n    data:\n      file.data instanceof Uint8Array || typeof file.data === 'string'\n        ? { type: 'data', data: file.data }\n        : file.data,\n  }));\n\n  const result = await skillsApi.uploadSkill({\n    files: normalizedFiles,\n    displayTitle,\n    providerOptions,\n  });\n\n  return result;\n}\n", "import {\n  NoSuchModelError,\n  type EmbeddingModelV4,\n  type LanguageModelV4,\n  type ProviderV4,\n  type SpeechModelV4,\n  type TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport {\n  loadApiKey,\n  withoutTrailingSlash,\n  withUserAgentSuffix,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { MistralChatLanguageModel } from './mistral-chat-language-model';\nimport type { MistralChatModelId } from './mistral-chat-language-model-options';\nimport { MistralEmbeddingModel } from './mistral-embedding-model';\nimport type { MistralEmbeddingModelId } from './mistral-embedding-model-options';\nimport { MistralSpeechModel } from './mistral-speech-model';\nimport type { MistralSpeechModelId } from './mistral-speech-model-options';\nimport { MistralTranscriptionModel } from './mistral-transcription-model';\nimport type { MistralTranscriptionModelId } from './mistral-transcription-model-options';\nimport { VERSION } from './version';\n\nexport interface MistralProvider extends ProviderV4 {\n  (modelId: MistralChatModelId): LanguageModelV4;\n\n  /**\n   * Creates a model for text generation.\n   */\n  languageModel(modelId: MistralChatModelId): LanguageModelV4;\n\n  /**\n   * Creates a model for text generation.\n   */\n  chat(modelId: MistralChatModelId): LanguageModelV4;\n\n  /**\n   * Creates a model for text embeddings.\n   */\n  embedding(modelId: MistralEmbeddingModelId): EmbeddingModelV4;\n\n  /**\n   * Creates a model for text embeddings.\n   */\n  embeddingModel: (modelId: MistralEmbeddingModelId) => EmbeddingModelV4;\n\n  /**\n   * Creates a model for speech generation (text-to-speech).\n   */\n  speech(modelId: MistralSpeechModelId): SpeechModelV4;\n\n  /**\n   * Creates a model for speech generation (text-to-speech).\n   */\n  speechModel(modelId: MistralSpeechModelId): SpeechModelV4;\n\n  /**\n   * Creates a model for audio transcription.\n   */\n  transcription(modelId: MistralTranscriptionModelId): TranscriptionModelV4;\n\n  /**\n   * Creates a model for audio transcription.\n   */\n  transcriptionModel(\n    modelId: MistralTranscriptionModelId,\n  ): TranscriptionModelV4;\n\n  /**\n   * @deprecated Use `embedding` instead.\n   */\n  textEmbedding(modelId: MistralEmbeddingModelId): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: MistralEmbeddingModelId): EmbeddingModelV4;\n}\n\nexport interface MistralProviderSettings {\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers.\n   * The default prefix is `https://api.mistral.ai/v1`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key that is being send using the `Authorization` header.\n   * It defaults to the `MISTRAL_API_KEY` environment variable.\n   */\n  apiKey?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  generateId?: () => string;\n}\n\n/**\n * Create a Mistral AI provider instance.\n */\nexport function createMistral(\n  options: MistralProviderSettings = {},\n): MistralProvider {\n  const baseURL =\n    withoutTrailingSlash(options.baseURL) ?? 'https://api.mistral.ai/v1';\n\n  const getHeaders = () =>\n    withUserAgentSuffix(\n      {\n        Authorization: `Bearer ${loadApiKey({\n          apiKey: options.apiKey,\n          environmentVariableName: 'MISTRAL_API_KEY',\n          description: 'Mistral',\n        })}`,\n        ...options.headers,\n      },\n      `ai-sdk/mistral/${VERSION}`,\n    );\n\n  const createChatModel = (modelId: MistralChatModelId) =>\n    new MistralChatLanguageModel(modelId, {\n      provider: 'mistral.chat',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      generateId: options.generateId,\n    });\n\n  const createEmbeddingModel = (modelId: MistralEmbeddingModelId) =>\n    new MistralEmbeddingModel(modelId, {\n      provider: 'mistral.embedding',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createSpeechModel = (modelId: MistralSpeechModelId) =>\n    new MistralSpeechModel(modelId, {\n      provider: 'mistral.speech',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createTranscriptionModel = (modelId: MistralTranscriptionModelId) =>\n    new MistralTranscriptionModel(modelId, {\n      provider: 'mistral.transcription',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (modelId: MistralChatModelId) {\n    if (new.target) {\n      throw new Error(\n        'The Mistral model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createChatModel(modelId);\n  };\n\n  provider.specificationVersion = 'v4' as const;\n  provider.languageModel = createChatModel;\n  provider.chat = createChatModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.speech = createSpeechModel;\n  provider.speechModel = createSpeechModel;\n  provider.transcription = createTranscriptionModel;\n  provider.transcriptionModel = createTranscriptionModel;\n\n  provider.imageModel = (modelId: string) => {\n    throw new NoSuchModelError({ modelId, modelType: 'imageModel' });\n  };\n\n  return provider;\n}\n\n/**\n * Default Mistral provider instance.\n */\nexport const mistral = createMistral();\n", "import type {\n  LanguageModelV4,\n  LanguageModelV4CallOptions,\n  LanguageModelV4Content,\n  LanguageModelV4FinishReason,\n  LanguageModelV4GenerateResult,\n  LanguageModelV4StreamPart,\n  LanguageModelV4StreamResult,\n  SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  injectJsonInstructionIntoMessages,\n  isCustomReasoning,\n  mapReasoningToProviderEffort,\n  parseProviderOptions,\n  postJsonToApi,\n  serializeModelOptions,\n  StreamingToolCallTracker,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type FetchFunction,\n  type ParseResult,\n  type StreamingToolCallDelta,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  convertMistralUsage,\n  type MistralUsage,\n} from './convert-mistral-usage';\nimport { convertToMistralChatMessages } from './convert-to-mistral-chat-messages';\nimport { getResponseMetadata } from './get-response-metadata';\nimport { mapMistralFinishReason } from './map-mistral-finish-reason';\nimport {\n  mistralLanguageModelChatOptions,\n  type MistralChatModelId,\n} from './mistral-chat-language-model-options';\nimport { mistralFailedResponseHandler } from './mistral-error';\nimport { prepareTools } from './mistral-prepare-tools';\n\ntype MistralChatConfig = {\n  provider: string;\n  baseURL: string;\n  headers?: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n  generateId?: () => string;\n};\n\nexport class MistralChatLanguageModel implements LanguageModelV4 {\n  readonly specificationVersion = 'v4';\n\n  readonly modelId: MistralChatModelId;\n\n  private readonly config: MistralChatConfig;\n  private readonly generateId: () => string;\n\n  static [WORKFLOW_SERIALIZE](model: MistralChatLanguageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: MistralChatModelId;\n    config: MistralChatConfig;\n  }) {\n    return new MistralChatLanguageModel(options.modelId, options.config);\n  }\n\n  constructor(modelId: MistralChatModelId, config: MistralChatConfig) {\n    this.modelId = modelId;\n    this.config = config;\n    this.generateId = config.generateId ?? generateId;\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  readonly supportedUrls: Record<string, RegExp[]> = {\n    'application/pdf': [/^https:\\/\\/.*$/],\n  };\n\n  private async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    reasoning,\n    stopSequences,\n    responseFormat,\n    seed,\n    providerOptions,\n    tools,\n    toolChoice,\n  }: LanguageModelV4CallOptions) {\n    const warnings: SharedV4Warning[] = [];\n\n    const options =\n      (await parseProviderOptions({\n        provider: 'mistral',\n        providerOptions,\n        schema: mistralLanguageModelChatOptions,\n      })) ?? {};\n\n    if (topK != null) {\n      warnings.push({ type: 'unsupported', feature: 'topK' });\n    }\n\n    const supportsReasoningEffort =\n      this.modelId === 'mistral-small-latest' ||\n      this.modelId === 'mistral-small-2603' ||\n      this.modelId === 'mistral-medium-3' ||\n      this.modelId === 'mistral-medium-3.5';\n\n    let resolvedReasoningEffort: string | undefined;\n    if (supportsReasoningEffort) {\n      resolvedReasoningEffort =\n        options.reasoningEffort ??\n        (isCustomReasoning(reasoning)\n          ? reasoning === 'none'\n            ? 'none'\n            : mapReasoningToProviderEffort({\n                reasoning,\n                effortMap: {\n                  minimal: 'high',\n                  low: 'high',\n                  medium: 'high',\n                  high: 'high',\n                  xhigh: 'high',\n                },\n                warnings,\n              })\n          : undefined);\n    } else if (isCustomReasoning(reasoning)) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'reasoning',\n        details: 'This model does not support reasoning configuration.',\n      });\n    }\n\n    const structuredOutputs = options.structuredOutputs ?? true;\n    const strictJsonSchema = options.strictJsonSchema ?? false;\n\n    // For Mistral we need to need to instruct the model to return a JSON object.\n    // https://docs.mistral.ai/capabilities/structured-output/structured_output_overview/\n    if (responseFormat?.type === 'json' && !responseFormat?.schema) {\n      prompt = injectJsonInstructionIntoMessages({\n        messages: prompt,\n        schema: responseFormat.schema,\n      });\n    }\n\n    const baseArgs = {\n      // model id:\n      model: this.modelId,\n\n      // model specific settings:\n      safe_prompt: options.safePrompt,\n\n      // standardized settings:\n      max_tokens: maxOutputTokens,\n      temperature,\n      top_p: topP,\n      ...(frequencyPenalty != null\n        ? { frequency_penalty: frequencyPenalty }\n        : {}),\n      ...(presencePenalty != null ? { presence_penalty: presencePenalty } : {}),\n      stop: stopSequences,\n      random_seed: seed,\n      reasoning_effort: resolvedReasoningEffort,\n\n      // response format:\n      response_format:\n        responseFormat?.type === 'json'\n          ? structuredOutputs && responseFormat?.schema != null\n            ? {\n                type: 'json_schema',\n                json_schema: {\n                  schema: responseFormat.schema,\n                  strict: strictJsonSchema,\n                  name: responseFormat.name ?? 'response',\n                  description: responseFormat.description,\n                },\n              }\n            : { type: 'json_object' }\n          : undefined,\n\n      // mistral-specific provider options:\n      document_image_limit: options.documentImageLimit,\n      document_page_limit: options.documentPageLimit,\n\n      // messages:\n      messages: convertToMistralChatMessages(prompt),\n    };\n\n    const {\n      tools: mistralTools,\n      toolChoice: mistralToolChoice,\n      toolWarnings,\n    } = prepareTools({\n      tools,\n      toolChoice,\n    });\n\n    return {\n      args: {\n        ...baseArgs,\n        tools: mistralTools,\n        tool_choice: mistralToolChoice,\n        ...(mistralTools != null && options.parallelToolCalls !== undefined\n          ? { parallel_tool_calls: options.parallelToolCalls }\n          : {}),\n      },\n      warnings: [...warnings, ...toolWarnings],\n    };\n  }\n\n  async doGenerate(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4GenerateResult> {\n    const { args: body, warnings } = await this.getArgs(options);\n\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse,\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        mistralChatResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const choice = response.choices[0];\n    const content: Array<LanguageModelV4Content> = [];\n\n    // process content parts in order to preserve sequence\n    if (\n      choice.message.content != null &&\n      Array.isArray(choice.message.content)\n    ) {\n      for (const part of choice.message.content) {\n        if (part.type === 'thinking') {\n          const reasoningText = extractReasoningContent(part.thinking);\n          if (reasoningText.length > 0) {\n            content.push({ type: 'reasoning', text: reasoningText });\n          }\n        } else if (part.type === 'text') {\n          if (part.text.length > 0) {\n            content.push({ type: 'text', text: part.text });\n          }\n        }\n      }\n    } else {\n      // handle legacy string content\n      const text = extractTextContent(choice.message.content);\n      if (text != null && text.length > 0) {\n        content.push({ type: 'text', text });\n      }\n    }\n\n    // when there is a trailing assistant message, mistral will send the\n    // content of that message again. we skip this repeated content to\n    // avoid duplication, e.g. in continuation mode.\n\n    // tool calls:\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        content.push({\n          type: 'tool-call',\n          toolCallId: toolCall.id,\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments!,\n        });\n      }\n    }\n\n    return {\n      content,\n      finishReason: {\n        unified: mapMistralFinishReason(choice.finish_reason),\n        raw: choice.finish_reason ?? undefined,\n      },\n      usage: convertMistralUsage(response.usage),\n      request: { body },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n      warnings,\n    };\n  }\n\n  async doStream(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4StreamResult> {\n    const { args, warnings } = await this.getArgs(options);\n    const body = { ...args, stream: true };\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: `${this.config.baseURL}/chat/completions`,\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        mistralChatChunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    let finishReason: LanguageModelV4FinishReason = {\n      unified: 'other',\n      raw: undefined,\n    };\n    let usage: MistralUsage | undefined = undefined;\n\n    let isFirstChunk = true;\n    let activeText = false;\n    let activeReasoningId: string | null = null;\n    let toolCallTracker: StreamingToolCallTracker<StreamingToolCallDelta>;\n\n    const generateId = this.generateId;\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<z.infer<typeof mistralChatChunkSchema>>,\n          LanguageModelV4StreamPart\n        >({\n          start(controller) {\n            toolCallTracker = new StreamingToolCallTracker(controller, {\n              generateId,\n            });\n            controller.enqueue({ type: 'stream-start', warnings });\n          },\n\n          transform(chunk, controller) {\n            // Emit raw chunk if requested (before anything else)\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: 'raw', rawValue: chunk.rawValue });\n            }\n\n            if (!chunk.success) {\n              controller.enqueue({ type: 'error', error: chunk.error });\n              return;\n            }\n\n            const value = chunk.value;\n\n            if (isFirstChunk) {\n              isFirstChunk = false;\n\n              controller.enqueue({\n                type: 'response-metadata',\n                ...getResponseMetadata(value),\n              });\n            }\n\n            if (value.usage != null) {\n              usage = value.usage;\n            }\n\n            const choice = value.choices[0];\n            const delta = choice.delta;\n\n            const textContent = extractTextContent(delta.content);\n\n            if (delta.content != null && Array.isArray(delta.content)) {\n              for (const part of delta.content) {\n                if (part.type === 'thinking') {\n                  const reasoningDelta = extractReasoningContent(part.thinking);\n                  if (reasoningDelta.length > 0) {\n                    if (activeReasoningId == null) {\n                      // end any active text before starting reasoning\n                      if (activeText) {\n                        controller.enqueue({ type: 'text-end', id: '0' });\n                        activeText = false;\n                      }\n\n                      activeReasoningId = generateId();\n                      controller.enqueue({\n                        type: 'reasoning-start',\n                        id: activeReasoningId,\n                      });\n                    }\n                    controller.enqueue({\n                      type: 'reasoning-delta',\n                      id: activeReasoningId,\n                      delta: reasoningDelta,\n                    });\n                  }\n                }\n              }\n            }\n\n            if (textContent != null && textContent.length > 0) {\n              if (!activeText) {\n                // if we were in reasoning mode, end it before starting text\n                if (activeReasoningId != null) {\n                  controller.enqueue({\n                    type: 'reasoning-end',\n                    id: activeReasoningId,\n                  });\n                  activeReasoningId = null;\n                }\n                controller.enqueue({ type: 'text-start', id: '0' });\n                activeText = true;\n              }\n\n              controller.enqueue({\n                type: 'text-delta',\n                id: '0',\n                delta: textContent,\n              });\n            }\n\n            if (delta?.tool_calls != null) {\n              for (const toolCall of delta.tool_calls) {\n                toolCallTracker.processDelta(toolCall);\n              }\n            }\n\n            if (choice.finish_reason != null) {\n              finishReason = {\n                unified: mapMistralFinishReason(choice.finish_reason),\n                raw: choice.finish_reason,\n              };\n            }\n          },\n\n          flush(controller) {\n            if (activeReasoningId != null) {\n              controller.enqueue({\n                type: 'reasoning-end',\n                id: activeReasoningId,\n              });\n            }\n            if (activeText) {\n              controller.enqueue({ type: 'text-end', id: '0' });\n            }\n\n            toolCallTracker.flush();\n\n            controller.enqueue({\n              type: 'finish',\n              finishReason,\n              usage: convertMistralUsage(usage),\n            });\n          },\n        }),\n      ),\n      request: { body },\n      response: { headers: responseHeaders },\n    };\n  }\n}\n\nfunction extractReasoningContent(\n  thinking: Array<{ type: string; text: string }>,\n) {\n  return thinking\n    .filter(chunk => chunk.type === 'text')\n    .map(chunk => chunk.text)\n    .join('');\n}\n\nfunction extractTextContent(content: z.infer<typeof mistralContentSchema>) {\n  if (typeof content === 'string') {\n    return content;\n  }\n\n  if (content == null) {\n    return undefined;\n  }\n\n  const textContent: string[] = [];\n\n  for (const chunk of content) {\n    const { type } = chunk;\n\n    switch (type) {\n      case 'text':\n        textContent.push(chunk.text);\n        break;\n      case 'thinking':\n      case 'image_url':\n      case 'reference':\n        // thinking, image content, and reference content are currently ignored\n        break;\n      default: {\n        const _exhaustiveCheck: never = type;\n        throw new Error(`Unsupported type: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return textContent.length ? textContent.join('') : undefined;\n}\n\nconst mistralContentSchema = z\n  .union([\n    z.string(),\n    z.array(\n      z.discriminatedUnion('type', [\n        z.object({\n          type: z.literal('text'),\n          text: z.string(),\n        }),\n        z.object({\n          type: z.literal('image_url'),\n          image_url: z.union([\n            z.string(),\n            z.object({\n              url: z.string(),\n              detail: z.string().nullable(),\n            }),\n          ]),\n        }),\n        z.object({\n          type: z.literal('reference'),\n          reference_ids: z.array(z.union([z.string(), z.number()])),\n        }),\n        z.object({\n          type: z.literal('thinking'),\n          thinking: z.array(\n            z.object({\n              type: z.literal('text'),\n              text: z.string(),\n            }),\n          ),\n        }),\n      ]),\n    ),\n  ])\n  .nullish();\n\nconst mistralUsageSchema = z.object({\n  prompt_tokens: z.number(),\n  completion_tokens: z.number(),\n  total_tokens: z.number(),\n  num_cached_tokens: z.number().nullish(),\n  prompt_tokens_details: z\n    .object({ cached_tokens: z.number().nullish() })\n    .nullish(),\n  prompt_token_details: z\n    .object({ cached_tokens: z.number().nullish() })\n    .nullish(),\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst mistralChatResponseSchema = z.object({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      message: z.object({\n        role: z.literal('assistant'),\n        content: mistralContentSchema,\n        tool_calls: z\n          .array(\n            z.object({\n              id: z.string(),\n              function: z.object({ name: z.string(), arguments: z.string() }),\n            }),\n          )\n          .nullish(),\n      }),\n      index: z.number(),\n      finish_reason: z.string().nullish(),\n    }),\n  ),\n  object: z.literal('chat.completion'),\n  usage: mistralUsageSchema,\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst mistralChatChunkSchema = z.object({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      delta: z.object({\n        role: z.enum(['assistant']).optional(),\n        content: mistralContentSchema,\n        tool_calls: z\n          .array(\n            z.object({\n              index: z.number().nullish(),\n              id: z.string().nullish(),\n              function: z.object({\n                name: z.string().nullish(),\n                arguments: z.string().nullish(),\n              }),\n            }),\n          )\n          .nullish(),\n      }),\n      finish_reason: z.string().nullish(),\n      index: z.number(),\n    }),\n  ),\n  usage: mistralUsageSchema.nullish(),\n});\n", "import type { LanguageModelV4Usage } from '@ai-sdk/provider';\nimport { createNullLanguageModelUsage } from '@ai-sdk/provider-utils';\n\nexport type MistralUsage = {\n  prompt_tokens: number;\n  completion_tokens: number;\n  total_tokens: number;\n  num_cached_tokens?: number | null;\n  prompt_tokens_details?: { cached_tokens?: number | null } | null;\n  prompt_token_details?: { cached_tokens?: number | null } | null;\n};\n\nexport function convertMistralUsage(\n  usage: MistralUsage | undefined | null,\n): LanguageModelV4Usage {\n  if (usage == null) {\n    return createNullLanguageModelUsage();\n  }\n\n  const promptTokens = usage.prompt_tokens;\n  const completionTokens = usage.completion_tokens;\n\n  const cacheReadTokens =\n    usage.num_cached_tokens ??\n    usage.prompt_tokens_details?.cached_tokens ??\n    usage.prompt_token_details?.cached_tokens ??\n    0;\n\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens - cacheReadTokens,\n      cacheRead: cacheReadTokens || undefined,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens,\n      reasoning: undefined,\n    },\n    raw: usage,\n  };\n}\n", "import {\n  UnsupportedFunctionalityError,\n  type LanguageModelV4FilePart,\n  type LanguageModelV4Prompt,\n} from '@ai-sdk/provider';\nimport type {\n  MistralAssistantMessageContent,\n  MistralPrompt,\n} from './mistral-chat-prompt';\nimport {\n  convertToBase64,\n  getTopLevelMediaType,\n  resolveFullMediaType,\n} from '@ai-sdk/provider-utils';\n\nfunction formatFileUrl({ part }: { part: LanguageModelV4FilePart }): string {\n  if (part.data.type === 'url') {\n    return part.data.url.toString();\n  }\n\n  if (part.data.type === 'data') {\n    return `data:${resolveFullMediaType({ part })};base64,${convertToBase64(part.data.data)}`;\n  }\n\n  throw new UnsupportedFunctionalityError({\n    functionality: `file part data type ${part.data.type}`,\n  });\n}\n\nexport function convertToMistralChatMessages(\n  prompt: LanguageModelV4Prompt,\n): MistralPrompt {\n  const messages: MistralPrompt = [];\n\n  for (let i = 0; i < prompt.length; i++) {\n    const { role, content } = prompt[i];\n    const isLastMessage = i === prompt.length - 1;\n\n    switch (role) {\n      case 'system': {\n        messages.push({ role: 'system', content });\n        break;\n      }\n\n      case 'user': {\n        messages.push({\n          role: 'user',\n          content: content.map(part => {\n            switch (part.type) {\n              case 'text': {\n                return { type: 'text', text: part.text };\n              }\n\n              case 'file': {\n                switch (part.data.type) {\n                  case 'reference': {\n                    throw new UnsupportedFunctionalityError({\n                      functionality: 'file parts with provider references',\n                    });\n                  }\n                  case 'text': {\n                    throw new UnsupportedFunctionalityError({\n                      functionality: 'text file parts',\n                    });\n                  }\n                  case 'url':\n                  case 'data': {\n                    const topLevel = getTopLevelMediaType(part.mediaType);\n\n                    if (topLevel === 'image') {\n                      return {\n                        type: 'image_url',\n                        image_url: formatFileUrl({ part }),\n                      };\n                    } else {\n                      if (part.data.type === 'data') {\n                        const fullMediaType = resolveFullMediaType({ part });\n                        if (fullMediaType !== 'application/pdf') {\n                          throw new UnsupportedFunctionalityError({\n                            functionality:\n                              'Only images and PDF file parts are supported',\n                          });\n                        }\n                      } else if (part.mediaType !== 'application/pdf') {\n                        throw new UnsupportedFunctionalityError({\n                          functionality:\n                            'Only images and PDF file parts are supported',\n                        });\n                      }\n\n                      return {\n                        type: 'document_url',\n                        document_url: formatFileUrl({ part }),\n                      };\n                    }\n                  }\n                }\n              }\n            }\n          }),\n        });\n        break;\n      }\n\n      case 'assistant': {\n        let text = '';\n        let hasReasoning = false;\n        const contentParts: Array<MistralAssistantMessageContent> = [];\n        const toolCalls: Array<{\n          id: string;\n          type: 'function';\n          function: { name: string; arguments: string };\n        }> = [];\n\n        for (const part of content) {\n          switch (part.type) {\n            case 'text': {\n              text += part.text;\n              contentParts.push({ type: 'text', text: part.text });\n              break;\n            }\n            case 'tool-call': {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: 'function',\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input),\n                },\n              });\n              break;\n            }\n            case 'reasoning': {\n              hasReasoning = true;\n              contentParts.push({\n                type: 'thinking',\n                thinking: [{ type: 'text', text: part.text }],\n                closed: true,\n              });\n              break;\n            }\n            default: {\n              throw new Error(\n                `Unsupported content type in assistant message: ${part.type}`,\n              );\n            }\n          }\n        }\n\n        messages.push({\n          role: 'assistant',\n          content: hasReasoning ? contentParts : text,\n          prefix: isLastMessage ? true : undefined,\n          tool_calls: toolCalls.length > 0 ? toolCalls : undefined,\n        });\n\n        break;\n      }\n      case 'tool': {\n        for (const toolResponse of content) {\n          if (toolResponse.type === 'tool-approval-response') {\n            continue;\n          }\n          const output = toolResponse.output;\n\n          let contentValue: string;\n          switch (output.type) {\n            case 'text':\n            case 'error-text':\n              contentValue = output.value;\n              break;\n            case 'execution-denied':\n              contentValue = output.reason ?? 'Tool call execution denied.';\n              break;\n            case 'content':\n            case 'json':\n            case 'error-json':\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n\n          messages.push({\n            role: 'tool',\n            name: toolResponse.toolName,\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue,\n          });\n        }\n        break;\n      }\n      default: {\n        const _exhaustiveCheck: never = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return messages;\n}\n", "export { createLanguageModelResponseMetadata as getResponseMetadata } from '@ai-sdk/provider-utils';\n", "import type { LanguageModelV4FinishReason } from '@ai-sdk/provider';\n\nexport function mapMistralFinishReason(\n  finishReason: string | null | undefined,\n): LanguageModelV4FinishReason['unified'] {\n  switch (finishReason) {\n    case 'stop':\n      return 'stop';\n    case 'length':\n    case 'model_length':\n      return 'length';\n    case 'tool_calls':\n      return 'tool-calls';\n    default:\n      return 'other';\n  }\n}\n", "import { z } from 'zod/v4';\n\n// https://docs.mistral.ai/getting-started/models/models_overview/\nexport type MistralChatModelId =\n  | 'ministral-3b-latest'\n  | 'ministral-8b-latest'\n  | 'ministral-14b-latest'\n  | 'mistral-large-latest'\n  | 'mistral-medium-latest'\n  | 'mistral-medium-3'\n  | 'mistral-large-2512'\n  | 'mistral-medium-2508'\n  | 'mistral-medium-2505'\n  | 'mistral-small-2506'\n  | 'pixtral-large-latest'\n  // reasoning config support models\n  | 'mistral-medium-3.5'\n  | 'mistral-small-latest'\n  | 'mistral-small-2603'\n  // reasoning models\n  | 'magistral-medium-latest'\n  | 'magistral-small-latest'\n  | 'magistral-medium-2509'\n  | 'magistral-small-2509'\n  | (string & {});\n\nexport const mistralLanguageModelChatOptions = z.object({\n  /**\n   * Whether to inject a safety prompt before all conversations.\n   *\n   * Defaults to `false`.\n   */\n  safePrompt: z.boolean().optional(),\n\n  documentImageLimit: z.number().optional(),\n  documentPageLimit: z.number().optional(),\n\n  /**\n   * Whether to use structured outputs.\n   *\n   * @default true\n   */\n  structuredOutputs: z.boolean().optional(),\n\n  /**\n   * Whether to use strict JSON schema validation.\n   *\n   * @default false\n   */\n  strictJsonSchema: z.boolean().optional(),\n\n  /**\n   * Whether to enable parallel function calling during tool use.\n   * When set to false, the model will use at most one tool per response.\n   *\n   * @default true\n   */\n  parallelToolCalls: z.boolean().optional(),\n\n  /**\n   * Controls the reasoning effort for models that support adjustable reasoning.\n   *\n   * - `'high'`: Enable reasoning\n   * - `'none'`: Disable reasoning\n   */\n  reasoningEffort: z.enum(['high', 'none']).optional(),\n});\n\nexport type MistralLanguageModelChatOptions = z.infer<\n  typeof mistralLanguageModelChatOptions\n>;\n", "import { createJsonErrorResponseHandler } from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\n\nconst mistralErrorDataSchema = z.object({\n  object: z.literal('error'),\n  message: z.string(),\n  type: z.string(),\n  param: z.string().nullable(),\n  code: z.string().nullable(),\n});\n\nexport type MistralErrorData = z.infer<typeof mistralErrorDataSchema>;\n\nexport const mistralFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: mistralErrorDataSchema,\n  errorToMessage: data => data.message,\n});\n", "import {\n  UnsupportedFunctionalityError,\n  type LanguageModelV4CallOptions,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nimport type { MistralToolChoice } from './mistral-chat-prompt';\n\nexport function prepareTools({\n  tools,\n  toolChoice,\n}: {\n  tools: LanguageModelV4CallOptions['tools'];\n  toolChoice?: LanguageModelV4CallOptions['toolChoice'];\n}): {\n  tools:\n    | Array<{\n        type: 'function';\n        function: {\n          name: string;\n          description: string | undefined;\n          parameters: unknown;\n          strict?: boolean;\n        };\n      }>\n    | undefined;\n  toolChoice: MistralToolChoice | undefined;\n  toolWarnings: SharedV4Warning[];\n} {\n  // when the tools array is empty, change it to undefined to prevent errors:\n  tools = tools?.length ? tools : undefined;\n\n  const toolWarnings: SharedV4Warning[] = [];\n\n  if (tools == null) {\n    return { tools: undefined, toolChoice: undefined, toolWarnings };\n  }\n\n  const mistralTools: Array<{\n    type: 'function';\n    function: {\n      name: string;\n      description: string | undefined;\n      parameters: unknown;\n      strict?: boolean;\n    };\n  }> = [];\n\n  for (const tool of tools) {\n    if (tool.type === 'provider') {\n      toolWarnings.push({\n        type: 'unsupported',\n        feature: `provider-defined tool ${tool.id}`,\n      });\n    } else {\n      mistralTools.push({\n        type: 'function',\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...(tool.strict != null ? { strict: tool.strict } : {}),\n        },\n      });\n    }\n  }\n\n  if (toolChoice == null) {\n    return { tools: mistralTools, toolChoice: undefined, toolWarnings };\n  }\n\n  const type = toolChoice.type;\n\n  switch (type) {\n    case 'auto':\n    case 'none':\n      return { tools: mistralTools, toolChoice: type, toolWarnings };\n    case 'required':\n      return { tools: mistralTools, toolChoice: 'any', toolWarnings };\n\n    // mistral does not support tool mode directly,\n    // so we filter the tools and force the tool choice through 'any'\n    case 'tool':\n      return {\n        tools: mistralTools.filter(\n          tool => tool.function.name === toolChoice.toolName,\n        ),\n        toolChoice: 'any',\n        toolWarnings,\n      };\n    default: {\n      const _exhaustiveCheck: never = type;\n      throw new UnsupportedFunctionalityError({\n        functionality: `tool choice type: ${_exhaustiveCheck}`,\n      });\n    }\n  }\n}\n", "import {\n  TooManyEmbeddingValuesForCallError,\n  type EmbeddingModelV4,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  mistralEmbeddingModelOptions,\n  type MistralEmbeddingModelId,\n} from './mistral-embedding-model-options';\nimport { mistralFailedResponseHandler } from './mistral-error';\n\ntype MistralEmbeddingConfig = {\n  provider: string;\n  baseURL: string;\n  headers?: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n};\n\nexport class MistralEmbeddingModel implements EmbeddingModelV4 {\n  readonly specificationVersion = 'v4';\n  readonly modelId: MistralEmbeddingModelId;\n  readonly maxEmbeddingsPerCall = 32;\n  readonly supportsParallelCalls = false;\n\n  private readonly config: MistralEmbeddingConfig;\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  static [WORKFLOW_SERIALIZE](model: MistralEmbeddingModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: MistralEmbeddingModelId;\n    config: MistralEmbeddingConfig;\n  }) {\n    return new MistralEmbeddingModel(options.modelId, options.config);\n  }\n\n  constructor(\n    modelId: MistralEmbeddingModelId,\n    config: MistralEmbeddingConfig,\n  ) {\n    this.modelId = modelId;\n    this.config = config;\n  }\n\n  async doEmbed({\n    values,\n    abortSignal,\n    headers,\n    providerOptions,\n  }: Parameters<EmbeddingModelV4['doEmbed']>[0]): Promise<\n    Awaited<ReturnType<EmbeddingModelV4['doEmbed']>>\n  > {\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values,\n      });\n    }\n\n    const mistralOptions =\n      (await parseProviderOptions({\n        provider: 'mistral',\n        providerOptions,\n        schema: mistralEmbeddingModelOptions,\n      })) ?? {};\n\n    const {\n      responseHeaders,\n      value: response,\n      rawValue,\n    } = await postJsonToApi({\n      url: `${this.config.baseURL}/embeddings`,\n      headers: combineHeaders(this.config.headers?.(), headers),\n      body: {\n        model: this.modelId,\n        input: values,\n        metadata: mistralOptions.metadata,\n        output_dimension: mistralOptions.outputDimension,\n        output_dtype: mistralOptions.outputDtype,\n        encoding_format: 'float',\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        MistralTextEmbeddingResponseSchema,\n      ),\n      abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    return {\n      warnings: [],\n      embeddings: response.data.map(item => item.embedding),\n      usage: response.usage\n        ? { tokens: response.usage.prompt_tokens }\n        : undefined,\n      response: { headers: responseHeaders, body: rawValue },\n    };\n  }\n}\n\n// minimal version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst MistralTextEmbeddingResponseSchema = z.object({\n  data: z.array(z.object({ embedding: z.array(z.number()) })),\n  usage: z.object({ prompt_tokens: z.number() }).nullish(),\n});\n", "import { z } from 'zod/v4';\n\nexport type MistralEmbeddingModelId =\n  | 'mistral-embed'\n  | 'codestral-embed-2505'\n  | (string & {});\n\nexport const mistralEmbeddingModelOptions = z.object({\n  /**\n   * Additional metadata to attach to the embedding request.\n   */\n  metadata: z.record(z.string(), z.any()).optional(),\n\n  /**\n   * The dimension of the output embeddings when supported by the model.\n   */\n  outputDimension: z.number().int().positive().optional(),\n\n  /**\n   * The data type of the output embeddings when supported by the model.\n   */\n  outputDtype: z\n    .enum(['float', 'int8', 'uint8', 'binary', 'ubinary'])\n    .optional(),\n});\n\nexport type MistralEmbeddingModelOptions = z.infer<\n  typeof mistralEmbeddingModelOptions\n>;\n", "import type { SharedV4Warning, SpeechModelV4 } from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postToApi,\n  serializeModelOptions,\n  WORKFLOW_DESERIALIZE,\n  WORKFLOW_SERIALIZE,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport { mistralFailedResponseHandler } from './mistral-error';\nimport {\n  mistralSpeechModelOptions,\n  type MistralSpeechModelId,\n} from './mistral-speech-model-options';\n\ninterface MistralSpeechModelConfig {\n  provider: string;\n  baseURL: string;\n  headers?: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}\n\ntype MistralSpeechOutputFormat = 'pcm' | 'wav' | 'mp3' | 'flac' | 'opus';\n\nexport class MistralSpeechModel implements SpeechModelV4 {\n  readonly specificationVersion = 'v4';\n\n  static [WORKFLOW_SERIALIZE](model: MistralSpeechModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: MistralSpeechModelId;\n    config: MistralSpeechModelConfig;\n  }) {\n    return new MistralSpeechModel(options.modelId, options.config);\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  constructor(\n    readonly modelId: MistralSpeechModelId,\n    private readonly config: MistralSpeechModelConfig,\n  ) {}\n\n  private async getArgs({\n    text,\n    voice,\n    outputFormat = 'mp3',\n    instructions,\n    speed,\n    language,\n    providerOptions,\n  }: Parameters<SpeechModelV4['doGenerate']>[0]) {\n    const warnings: SharedV4Warning[] = [];\n    const mistralOptions = await parseProviderOptions({\n      provider: 'mistral',\n      providerOptions,\n      schema: mistralSpeechModelOptions,\n    });\n\n    let responseFormat: MistralSpeechOutputFormat = 'mp3';\n    if (['pcm', 'wav', 'mp3', 'flac', 'opus'].includes(outputFormat)) {\n      responseFormat = outputFormat as MistralSpeechOutputFormat;\n    } else {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'outputFormat',\n        details: `Unsupported output format: ${outputFormat}. Using mp3 instead.`,\n      });\n    }\n\n    if (instructions != null) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'instructions',\n        details:\n          'Mistral speech models do not support the `instructions` option. ' +\n          'Use a reference audio clip to guide delivery.',\n      });\n    }\n\n    if (speed != null) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'speed',\n        details:\n          'Mistral speech models do not support the `speed` option. It was ignored.',\n      });\n    }\n\n    if (language != null) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'language',\n        details:\n          'Mistral speech models do not support the `language` option. ' +\n          'Language is inferred from the input text and voice.',\n      });\n    }\n\n    const refAudio = mistralOptions?.refAudio;\n    const requestBody = {\n      model: this.modelId,\n      input: text,\n      voice_id: refAudio == null ? voice : undefined,\n      ref_audio: refAudio,\n      response_format: responseFormat,\n      stream: false,\n    };\n\n    const requestBodyValues = {\n      ...requestBody,\n      ref_audio: refAudio == null ? undefined : '[redacted]',\n    };\n\n    return { requestBody, requestBodyValues, warnings };\n  }\n\n  async doGenerate(\n    options: Parameters<SpeechModelV4['doGenerate']>[0],\n  ): Promise<Awaited<ReturnType<SpeechModelV4['doGenerate']>>> {\n    const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n    const { requestBody, requestBodyValues, warnings } =\n      await this.getArgs(options);\n\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse,\n    } = await postToApi({\n      url: `${this.config.baseURL}/audio/speech`,\n      headers: combineHeaders(\n        { 'Content-Type': 'application/json' },\n        this.config.headers?.(),\n        options.headers,\n      ),\n      body: {\n        content: JSON.stringify(requestBody),\n        values: requestBodyValues,\n      },\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        mistralSpeechResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    return {\n      audio: response.audio_data,\n      warnings,\n      request: {\n        body: JSON.stringify(requestBodyValues),\n      },\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n    };\n  }\n}\n\nconst mistralSpeechResponseSchema = z.object({\n  audio_data: z.string(),\n});\n", "import { z } from 'zod/v4';\n\nexport type MistralSpeechModelId = 'voxtral-mini-tts-2603' | (string & {});\n\nexport const mistralSpeechModelOptions = z.object({\n  /**\n   * Base64-encoded reference audio for one-off voice cloning.\n   *\n   * When provided, this takes precedence over the standard `voice` option.\n   */\n  refAudio: z.string().min(1).optional(),\n});\n\nexport type MistralSpeechModelOptions = z.infer<\n  typeof mistralSpeechModelOptions\n>;\n", "import {\n  InvalidArgumentError,\n  type JSONObject,\n  type SharedV4Warning,\n  type TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  createJsonResponseHandler,\n  mediaTypeToExtension,\n  parseProviderOptions,\n  postFormDataToApi,\n  serializeModelOptions,\n  WORKFLOW_DESERIALIZE,\n  WORKFLOW_SERIALIZE,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport { mistralFailedResponseHandler } from './mistral-error';\nimport {\n  mistralTranscriptionModelOptions,\n  type MistralTranscriptionModelId,\n} from './mistral-transcription-model-options';\n\ntype MistralTranscriptionModelConfig = {\n  provider: string;\n  baseURL: string;\n  headers?: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n  _internal?: {\n    currentDate?: () => Date;\n  };\n};\n\nexport class MistralTranscriptionModel implements TranscriptionModelV4 {\n  readonly specificationVersion = 'v4';\n\n  static [WORKFLOW_SERIALIZE](model: MistralTranscriptionModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: MistralTranscriptionModelId;\n    config: MistralTranscriptionModelConfig;\n  }) {\n    return new MistralTranscriptionModel(options.modelId, options.config);\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  constructor(\n    readonly modelId: MistralTranscriptionModelId,\n    private readonly config: MistralTranscriptionModelConfig,\n  ) {}\n\n  private async getArgs({\n    audio,\n    mediaType,\n    providerOptions,\n  }: Parameters<TranscriptionModelV4['doGenerate']>[0]) {\n    const warnings: SharedV4Warning[] = [];\n    const mistralOptions = await parseProviderOptions({\n      provider: 'mistral',\n      providerOptions,\n      schema: mistralTranscriptionModelOptions,\n    });\n\n    // Mistral documents these options as mutually incompatible. Rejecting the\n    // combination locally provides a stable SDK error instead of an API 4xx.\n    if (\n      mistralOptions?.language != null &&\n      mistralOptions.timestampGranularities != null\n    ) {\n      throw new InvalidArgumentError({\n        argument: 'providerOptions',\n        message:\n          'providerOptions.mistral.language cannot be combined with providerOptions.mistral.timestampGranularities',\n      });\n    }\n\n    const formData = new FormData();\n    const blob =\n      audio instanceof Uint8Array\n        ? new Blob([audio])\n        : new Blob([convertBase64ToUint8Array(audio)]);\n\n    formData.append('model', this.modelId);\n    formData.append(\n      'file',\n      new File([blob], 'audio', { type: mediaType }),\n      `audio.${mediaTypeToExtension(mediaType)}`,\n    );\n\n    if (mistralOptions != null) {\n      appendFormValue(formData, 'language', mistralOptions.language);\n      appendFormValue(formData, 'temperature', mistralOptions.temperature);\n      appendFormValue(\n        formData,\n        'timestamp_granularities',\n        mistralOptions.timestampGranularities,\n      );\n      appendFormValue(formData, 'diarize', mistralOptions.diarize);\n      appendFormValue(formData, 'context_bias', mistralOptions.contextBias);\n    }\n\n    return { formData, warnings };\n  }\n\n  async doGenerate(\n    options: Parameters<TranscriptionModelV4['doGenerate']>[0],\n  ): Promise<Awaited<ReturnType<TranscriptionModelV4['doGenerate']>>> {\n    const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n    const { formData, warnings } = await this.getArgs(options);\n\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse,\n    } = await postFormDataToApi({\n      url: `${this.config.baseURL}/audio/transcriptions`,\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      formData,\n      failedResponseHandler: mistralFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        mistralTranscriptionResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const segments =\n      response.segments?.map(segment => ({\n        text: segment.text,\n        startSecond: segment.start,\n        endSecond: segment.end,\n      })) ?? [];\n\n    const mistralMetadata: JSONObject = {};\n\n    if (response.usage != null) {\n      mistralMetadata.usage = {\n        ...(response.usage.prompt_tokens != null && {\n          promptTokens: response.usage.prompt_tokens,\n        }),\n        ...(response.usage.completion_tokens != null && {\n          completionTokens: response.usage.completion_tokens,\n        }),\n        ...(response.usage.total_tokens != null && {\n          totalTokens: response.usage.total_tokens,\n        }),\n        ...(response.usage.prompt_audio_seconds != null && {\n          promptAudioSeconds: response.usage.prompt_audio_seconds,\n        }),\n        ...(response.usage.request_count != null && {\n          requestCount: response.usage.request_count,\n        }),\n      };\n    }\n\n    const providerSegments = response.segments\n      ?.filter(\n        segment =>\n          segment.type != null ||\n          segment.score != null ||\n          segment.speaker_id != null,\n      )\n      .map(segment => ({\n        text: segment.text,\n        startSecond: segment.start,\n        endSecond: segment.end,\n        ...(segment.type != null && { type: segment.type }),\n        ...(segment.score != null && { score: segment.score }),\n        ...(segment.speaker_id != null && {\n          speakerId: segment.speaker_id,\n        }),\n      }));\n\n    if (providerSegments != null && providerSegments.length > 0) {\n      mistralMetadata.segments = providerSegments;\n    }\n\n    return {\n      text: response.text,\n      segments,\n      language: response.language ?? undefined,\n      durationInSeconds:\n        response.usage?.prompt_audio_seconds ??\n        segments.at(-1)?.endSecond ??\n        undefined,\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: response.model,\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n      ...(Object.keys(mistralMetadata).length > 0 && {\n        providerMetadata: {\n          mistral: mistralMetadata,\n        },\n      }),\n    };\n  }\n}\n\nfunction appendFormValue(\n  formData: FormData,\n  key: string,\n  value: string | number | boolean | string[] | undefined,\n): void {\n  if (value == null) {\n    return;\n  }\n\n  if (Array.isArray(value)) {\n    for (const item of value) {\n      formData.append(key, item);\n    }\n    return;\n  }\n\n  formData.append(key, String(value));\n}\n\nconst mistralTranscriptionResponseSchema = z.object({\n  model: z.string(),\n  text: z.string(),\n  language: z.string().nullish(),\n  segments: z\n    .array(\n      z.object({\n        type: z.literal('transcription_segment').nullish(),\n        text: z.string(),\n        start: z.number(),\n        end: z.number(),\n        score: z.number().nullish(),\n        speaker_id: z.string().nullish(),\n      }),\n    )\n    .nullish(),\n  usage: z\n    .object({\n      prompt_tokens: z.number().nullish(),\n      completion_tokens: z.number().nullish(),\n      total_tokens: z.number().nullish(),\n      prompt_audio_seconds: z.number().nullish(),\n      request_count: z.number().nullish(),\n    })\n    .nullish(),\n});\n", "import {\n  lazySchema,\n  zodSchema,\n  type InferSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\n\nexport type MistralTranscriptionModelId = 'voxtral-mini-latest' | (string & {});\n\n// https://docs.mistral.ai/api/endpoint/audio/transcriptions\nexport const mistralTranscriptionModelOptions = lazySchema(() =>\n  zodSchema(\n    z.object({\n      /**\n       * The language of the audio, e.g. \"en\". Providing the language can boost\n       * accuracy.\n       */\n      language: z.string().min(1).optional(),\n\n      /**\n       * The sampling temperature.\n       */\n      temperature: z.number().optional(),\n\n      /**\n       * The timestamp granularities to include in the transcription response.\n       */\n      timestampGranularities: z\n        .array(z.enum(['segment', 'word']))\n        .min(1)\n        .optional(),\n\n      /**\n       * Whether to identify speakers in the transcription.\n       */\n      diarize: z.boolean().optional(),\n\n      /**\n       * Words or phrases to guide the model toward correct spellings of names,\n       * technical terms, or domain-specific vocabulary.\n       *\n       * Mistral requires each item to omit commas and whitespace. Use\n       * underscores to represent multi-word phrases.\n       */\n      contextBias: z\n        .array(\n          z\n            .string()\n            .min(1)\n            .regex(\n              /^[^\\s,]+$/,\n              'Context bias items must not contain commas or whitespace.',\n            ),\n        )\n        .max(100)\n        .optional(),\n    }),\n  ),\n);\n\nexport type MistralTranscriptionModelOptions = InferSchema<\n  typeof mistralTranscriptionModelOptions\n>;\n", "// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n", "import {\n  InvalidResponseDataError,\n  type APICallError,\n  type LanguageModelV4,\n  type LanguageModelV4CallOptions,\n  type LanguageModelV4Content,\n  type LanguageModelV4FinishReason,\n  type LanguageModelV4GenerateResult,\n  type LanguageModelV4StreamPart,\n  type LanguageModelV4StreamResult,\n  type LanguageModelV4Usage,\n  type SharedV4ProviderMetadata,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  isCustomReasoning,\n  parseProviderOptions,\n  postJsonToApi,\n  serializeModelOptions,\n  StreamingToolCallTracker,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type StreamingToolCallDelta,\n  type FetchFunction,\n  type ParseResult,\n  type ResponseHandler,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  resolveProviderOptionsKey,\n  toCamelCase,\n  warnIfDeprecatedProviderOptionsKey,\n} from '../utils/to-camel-case';\nimport {\n  defaultOpenAICompatibleErrorStructure,\n  type ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport { convertOpenAICompatibleChatUsage } from './convert-openai-compatible-chat-usage';\nimport { convertToOpenAICompatibleChatMessages } from './convert-to-openai-compatible-chat-messages';\nimport { getResponseMetadata } from './get-response-metadata';\nimport { mapOpenAICompatibleFinishReason } from './map-openai-compatible-finish-reason';\nimport {\n  openaiCompatibleLanguageModelChatOptions,\n  type OpenAICompatibleChatModelId,\n} from './openai-compatible-chat-language-model-options';\nimport type { MetadataExtractor } from './openai-compatible-metadata-extractor';\nimport { prepareTools } from './openai-compatible-prepare-tools';\n\ntype OpenAICompatibleStreamingToolCallDelta = StreamingToolCallDelta & {\n  extra_content?: {\n    google?: {\n      thought_signature?: string | null;\n    } | null;\n  } | null;\n};\n\nexport type OpenAICompatibleChatConfig = {\n  provider: string;\n  headers?: () => Record<string, string | undefined>;\n  url: (options: { modelId: string; path: string }) => string;\n  fetch?: FetchFunction;\n  includeUsage?: boolean;\n  errorStructure?: ProviderErrorStructure<any>;\n  metadataExtractor?: MetadataExtractor;\n\n  /**\n   * Whether the model supports structured outputs.\n   */\n  supportsStructuredOutputs?: boolean;\n\n  /**\n   * The supported URLs for the model.\n   */\n  supportedUrls?: () => LanguageModelV4['supportedUrls'];\n\n  /**\n   * Optional function to transform the request body before sending it to the API.\n   * This is useful for proxy providers that may require a different request format\n   * than the official OpenAI API.\n   */\n  transformRequestBody?: (args: Record<string, any>) => Record<string, any>;\n\n  /**\n   * Optional usage converter for OpenAI-compatible providers with different\n   * token accounting semantics.\n   */\n  convertUsage?: (\n    usage: z.infer<typeof openaiCompatibleTokenUsageSchema>,\n  ) => LanguageModelV4Usage;\n};\n\ntype PendingToolCall = {\n  id: string | null;\n  bufferedArguments: string;\n  extraContent: OpenAICompatibleStreamingToolCallDelta['extra_content'];\n};\n\nexport class OpenAICompatibleChatLanguageModel implements LanguageModelV4 {\n  readonly specificationVersion = 'v4';\n\n  readonly supportsStructuredOutputs: boolean;\n\n  readonly modelId: OpenAICompatibleChatModelId;\n  protected readonly config: OpenAICompatibleChatConfig;\n  private readonly failedResponseHandler: ResponseHandler<APICallError>;\n  private readonly chunkSchema; // type inferred via constructor\n\n  static [WORKFLOW_SERIALIZE](model: OpenAICompatibleChatLanguageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: OpenAICompatibleChatConfig;\n  }) {\n    return new OpenAICompatibleChatLanguageModel(\n      options.modelId,\n      options.config,\n    );\n  }\n\n  constructor(\n    modelId: OpenAICompatibleChatModelId,\n    config: OpenAICompatibleChatConfig,\n  ) {\n    this.modelId = modelId;\n    this.config = config;\n\n    // initialize error handling:\n    const errorStructure =\n      config.errorStructure ?? defaultOpenAICompatibleErrorStructure;\n    this.chunkSchema = createOpenAICompatibleChatChunkSchema(\n      errorStructure.errorSchema,\n    );\n    this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure);\n\n    this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false;\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private get providerOptionsName(): string {\n    return this.config.provider.split('.')[0].trim();\n  }\n\n  get supportedUrls() {\n    return this.config.supportedUrls?.() ?? {};\n  }\n\n  private transformRequestBody(args: Record<string, any>): Record<string, any> {\n    return this.config.transformRequestBody?.(args) ?? args;\n  }\n\n  private convertUsage(\n    usage: z.infer<typeof openaiCompatibleTokenUsageSchema>,\n  ): LanguageModelV4Usage {\n    return (\n      this.config.convertUsage?.(usage) ??\n      convertOpenAICompatibleChatUsage(usage)\n    );\n  }\n\n  private async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    reasoning,\n    providerOptions,\n    stopSequences,\n    responseFormat,\n    seed,\n    toolChoice,\n    tools,\n  }: LanguageModelV4CallOptions) {\n    const warnings: SharedV4Warning[] = [];\n\n    // Parse provider options - check for deprecated 'openai-compatible' key\n    const deprecatedOptions = await parseProviderOptions({\n      provider: 'openai-compatible',\n      providerOptions,\n      schema: openaiCompatibleLanguageModelChatOptions,\n    });\n\n    if (deprecatedOptions != null) {\n      warnings.push({\n        type: 'deprecated',\n        setting: \"providerOptions key 'openai-compatible'\",\n        message: \"Use 'openaiCompatible' instead.\",\n      });\n    }\n\n    // Warn when the raw (non-camelCase) provider name is used\n    warnIfDeprecatedProviderOptionsKey({\n      rawName: this.providerOptionsName,\n      providerOptions,\n      warnings,\n    });\n\n    const compatibleOptions = Object.assign(\n      deprecatedOptions ?? {},\n      (await parseProviderOptions({\n        provider: 'openaiCompatible',\n        providerOptions,\n        schema: openaiCompatibleLanguageModelChatOptions,\n      })) ?? {},\n      (await parseProviderOptions({\n        provider: this.providerOptionsName,\n        providerOptions,\n        schema: openaiCompatibleLanguageModelChatOptions,\n      })) ?? {},\n      (await parseProviderOptions({\n        provider: toCamelCase(this.providerOptionsName),\n        providerOptions,\n        schema: openaiCompatibleLanguageModelChatOptions,\n      })) ?? {},\n    );\n\n    const strictJsonSchema = compatibleOptions?.strictJsonSchema ?? true;\n\n    if (topK != null) {\n      warnings.push({ type: 'unsupported', feature: 'topK' });\n    }\n\n    if (\n      responseFormat?.type === 'json' &&\n      responseFormat.schema != null &&\n      !this.supportsStructuredOutputs\n    ) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'responseFormat',\n        details:\n          'JSON response format schema is only supported with structuredOutputs',\n      });\n    }\n\n    const {\n      tools: openaiTools,\n      toolChoice: openaiToolChoice,\n      toolWarnings,\n    } = prepareTools({\n      tools,\n      toolChoice,\n    });\n\n    const metadataKey = resolveProviderOptionsKey(\n      this.providerOptionsName,\n      providerOptions,\n    );\n\n    return {\n      metadataKey,\n      args: {\n        // model id:\n        model: this.modelId,\n\n        // model specific settings:\n        user: compatibleOptions.user,\n\n        // standardized settings:\n        max_tokens: maxOutputTokens,\n        temperature,\n        top_p: topP,\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        response_format:\n          responseFormat?.type === 'json'\n            ? this.supportsStructuredOutputs === true &&\n              responseFormat.schema != null\n              ? {\n                  type: 'json_schema',\n                  json_schema: {\n                    schema: responseFormat.schema,\n                    strict: strictJsonSchema,\n                    name: responseFormat.name ?? 'response',\n                    description: responseFormat.description,\n                  },\n                }\n              : { type: 'json_object' }\n            : undefined,\n\n        stop: stopSequences,\n        seed,\n        ...Object.fromEntries(\n          Object.entries({\n            ...providerOptions?.[this.providerOptionsName],\n            ...providerOptions?.[toCamelCase(this.providerOptionsName)],\n          }).filter(\n            ([key]) =>\n              !Object.keys(\n                openaiCompatibleLanguageModelChatOptions.shape,\n              ).includes(key),\n          ),\n        ),\n\n        reasoning_effort:\n          compatibleOptions.reasoningEffort ??\n          (isCustomReasoning(reasoning) ? reasoning : undefined),\n        verbosity: compatibleOptions.textVerbosity,\n\n        // messages:\n        messages: convertToOpenAICompatibleChatMessages(prompt, {\n          providerOptionsKey: metadataKey,\n        }),\n\n        // tools:\n        tools: openaiTools,\n        tool_choice: openaiToolChoice,\n      },\n      warnings: [...warnings, ...toolWarnings],\n    };\n  }\n\n  async doGenerate(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4GenerateResult> {\n    const { args, warnings, metadataKey } = await this.getArgs({ ...options });\n\n    const transformedBody = this.transformRequestBody(args);\n    const body = JSON.stringify(transformedBody);\n\n    const {\n      responseHeaders,\n      value: responseBody,\n      rawValue: rawResponse,\n    } = await postJsonToApi({\n      url: this.config.url({\n        path: '/chat/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body: transformedBody,\n      failedResponseHandler: this.failedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        OpenAICompatibleChatResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const choice = responseBody.choices[0];\n    const content: Array<LanguageModelV4Content> = [];\n\n    // text content:\n    const text = choice.message.content;\n    if (text != null && text.length > 0) {\n      content.push({ type: 'text', text });\n    }\n\n    // reasoning content:\n    const reasoning =\n      choice.message.reasoning_content ?? choice.message.reasoning;\n    if (reasoning != null && reasoning.length > 0) {\n      content.push({\n        type: 'reasoning',\n        text: reasoning,\n      });\n    }\n\n    // tool calls:\n    if (choice.message.tool_calls != null) {\n      for (const toolCall of choice.message.tool_calls) {\n        const thoughtSignature =\n          toolCall.extra_content?.google?.thought_signature;\n        content.push({\n          type: 'tool-call',\n          toolCallId: toolCall.id || generateId(),\n          toolName: toolCall.function.name,\n          input: toolCall.function.arguments!,\n          ...(thoughtSignature\n            ? {\n                providerMetadata: {\n                  [metadataKey]: { thoughtSignature },\n                },\n              }\n            : {}),\n        });\n      }\n    }\n\n    // provider metadata:\n    const providerMetadata: SharedV4ProviderMetadata = {\n      [metadataKey]: {},\n      ...(await this.config.metadataExtractor?.extractMetadata?.({\n        parsedBody: rawResponse,\n      })),\n    };\n    const completionTokenDetails =\n      responseBody.usage?.completion_tokens_details;\n    if (completionTokenDetails?.accepted_prediction_tokens != null) {\n      providerMetadata[metadataKey].acceptedPredictionTokens =\n        completionTokenDetails?.accepted_prediction_tokens;\n    }\n    if (completionTokenDetails?.rejected_prediction_tokens != null) {\n      providerMetadata[metadataKey].rejectedPredictionTokens =\n        completionTokenDetails?.rejected_prediction_tokens;\n    }\n\n    return {\n      content,\n      finishReason: {\n        unified: mapOpenAICompatibleFinishReason(choice.finish_reason),\n        raw: choice.finish_reason ?? undefined,\n      },\n      usage: this.convertUsage(responseBody.usage),\n      providerMetadata,\n      request: { body },\n      response: {\n        ...getResponseMetadata(responseBody),\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n      warnings,\n    };\n  }\n\n  async doStream(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4StreamResult> {\n    const { args, warnings, metadataKey } = await this.getArgs({\n      ...options,\n    });\n\n    const body = this.transformRequestBody({\n      ...args,\n      stream: true,\n\n      // only include stream_options when in strict compatibility mode:\n      stream_options: this.config.includeUsage\n        ? { include_usage: true }\n        : undefined,\n    });\n\n    const metadataExtractor =\n      this.config.metadataExtractor?.createStreamExtractor();\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/chat/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body,\n      failedResponseHandler: this.failedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        this.chunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const providerOptionsName = metadataKey;\n    let toolCallTracker: StreamingToolCallTracker<OpenAICompatibleStreamingToolCallDelta>;\n\n    // Buffers tool-call deltas by `index` until `function.name` is known.\n    // Some OpenAI-compatible providers send the first delta without\n    // `function.name`, which the shared tracker rejects on first chunk.\n    const pendingToolCalls = new Map<number, PendingToolCall>();\n    const forwardedToolCallIndices = new Set<number>();\n\n    const processToolCallDelta = (\n      toolCallDelta: OpenAICompatibleStreamingToolCallDelta,\n    ) => {\n      const index = toolCallDelta.index;\n\n      if (index == null || forwardedToolCallIndices.has(index)) {\n        toolCallTracker.processDelta(toolCallDelta);\n        return;\n      }\n\n      let pending = pendingToolCalls.get(index);\n      if (pending == null) {\n        pending = {\n          id: toolCallDelta.id ?? null,\n          bufferedArguments: '',\n          extraContent: toolCallDelta.extra_content ?? null,\n        };\n        pendingToolCalls.set(index, pending);\n      } else {\n        if (pending.id == null && toolCallDelta.id != null) {\n          pending.id = toolCallDelta.id;\n        }\n        if (\n          pending.extraContent == null &&\n          toolCallDelta.extra_content != null\n        ) {\n          pending.extraContent = toolCallDelta.extra_content;\n        }\n      }\n\n      const argumentsDelta = toolCallDelta.function?.arguments;\n      if (argumentsDelta != null) {\n        pending.bufferedArguments += argumentsDelta;\n      }\n\n      const name = toolCallDelta.function?.name;\n      if (name != null) {\n        const forwardDelta: OpenAICompatibleStreamingToolCallDelta = {\n          index,\n          id: pending.id,\n          function: {\n            name,\n            arguments: pending.bufferedArguments,\n          },\n          extra_content: pending.extraContent ?? undefined,\n        };\n        toolCallTracker.processDelta(forwardDelta);\n        pendingToolCalls.delete(index);\n        forwardedToolCallIndices.add(index);\n      }\n    };\n\n    let finishReason: LanguageModelV4FinishReason | undefined;\n    let usage: z.infer<typeof openaiCompatibleTokenUsageSchema> | undefined =\n      undefined;\n    let isFirstChunk = true;\n    let isActiveReasoning = false;\n    let isActiveText = false;\n    const convertUsage = (\n      usage: z.infer<typeof openaiCompatibleTokenUsageSchema>,\n    ) => this.convertUsage(usage);\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<z.infer<typeof this.chunkSchema>>,\n          LanguageModelV4StreamPart\n        >({\n          start(controller) {\n            toolCallTracker =\n              new StreamingToolCallTracker<OpenAICompatibleStreamingToolCallDelta>(\n                controller,\n                {\n                  generateId,\n                  extractMetadata: delta => {\n                    const thoughtSignature =\n                      delta.extra_content?.google?.thought_signature;\n\n                    return thoughtSignature\n                      ? { [providerOptionsName]: { thoughtSignature } }\n                      : undefined;\n                  },\n                  buildToolCallProviderMetadata: metadata => metadata,\n                },\n              );\n            controller.enqueue({ type: 'stream-start', warnings });\n          },\n\n          transform(chunk, controller) {\n            // Emit raw chunk if requested (before anything else)\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: 'raw', rawValue: chunk.rawValue });\n            }\n\n            // handle failed chunk parsing / validation:\n            if (!chunk.success) {\n              finishReason = { unified: 'error', raw: undefined };\n              controller.enqueue({ type: 'error', error: chunk.error });\n              return;\n            }\n\n            metadataExtractor?.processChunk(chunk.rawValue);\n\n            // handle error chunks:\n            if ('error' in chunk.value) {\n              finishReason = { unified: 'error', raw: undefined };\n              controller.enqueue({\n                type: 'error',\n                error: chunk.value.error,\n              });\n              return;\n            }\n\n            // TODO we lost type safety on Chunk, most likely due to the error schema. MUST FIX\n            // remove this workaround when the issue is fixed\n            const value = chunk.value as z.infer<typeof chunkBaseSchema>;\n\n            if (isFirstChunk) {\n              isFirstChunk = false;\n\n              controller.enqueue({\n                type: 'response-metadata',\n                ...getResponseMetadata(value),\n              });\n            }\n\n            if (value.usage != null) {\n              usage = value.usage;\n            }\n\n            const choice = value.choices[0];\n\n            if (choice?.finish_reason != null) {\n              finishReason = {\n                unified: mapOpenAICompatibleFinishReason(choice.finish_reason),\n                raw: choice.finish_reason ?? undefined,\n              };\n            }\n\n            if (choice?.delta == null) {\n              return;\n            }\n\n            const delta = choice.delta;\n\n            // enqueue reasoning before text deltas:\n            const reasoningContent = delta.reasoning_content ?? delta.reasoning;\n            if (reasoningContent) {\n              if (!isActiveReasoning) {\n                controller.enqueue({\n                  type: 'reasoning-start',\n                  id: 'reasoning-0',\n                });\n                isActiveReasoning = true;\n              }\n\n              controller.enqueue({\n                type: 'reasoning-delta',\n                id: 'reasoning-0',\n                delta: reasoningContent,\n              });\n            }\n\n            if (delta.content) {\n              // end active reasoning block before text starts\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: 'reasoning-end',\n                  id: 'reasoning-0',\n                });\n                isActiveReasoning = false;\n              }\n\n              if (!isActiveText) {\n                controller.enqueue({ type: 'text-start', id: 'txt-0' });\n                isActiveText = true;\n              }\n\n              controller.enqueue({\n                type: 'text-delta',\n                id: 'txt-0',\n                delta: delta.content,\n              });\n            }\n\n            if (delta.tool_calls != null) {\n              // end active reasoning block before tool calls start\n              if (isActiveReasoning) {\n                controller.enqueue({\n                  type: 'reasoning-end',\n                  id: 'reasoning-0',\n                });\n                isActiveReasoning = false;\n              }\n\n              for (const toolCallDelta of delta.tool_calls) {\n                processToolCallDelta(toolCallDelta);\n              }\n            }\n          },\n\n          flush(controller) {\n            if (isActiveReasoning) {\n              controller.enqueue({ type: 'reasoning-end', id: 'reasoning-0' });\n            }\n\n            if (isActiveText) {\n              controller.enqueue({ type: 'text-end', id: 'txt-0' });\n            }\n\n            // Forward any tool-call deltas that never received a\n            // `function.name`. The tracker will throw on the missing name,\n            // preserving the original invalid-response semantics.\n            for (const [index, pending] of pendingToolCalls) {\n              toolCallTracker.processDelta({\n                index,\n                id: pending.id,\n                function: { arguments: pending.bufferedArguments },\n              });\n            }\n            pendingToolCalls.clear();\n\n            toolCallTracker.flush();\n\n            if (finishReason == null) {\n              finishReason = { unified: 'error', raw: undefined };\n              controller.enqueue({\n                type: 'error',\n                error: new InvalidResponseDataError({\n                  data: undefined,\n                  message: 'Response stream ended without a finish reason.',\n                }),\n              });\n            }\n\n            const providerMetadata: SharedV4ProviderMetadata = {\n              [providerOptionsName]: {},\n              ...metadataExtractor?.buildMetadata(),\n            };\n            if (\n              usage?.completion_tokens_details?.accepted_prediction_tokens !=\n              null\n            ) {\n              providerMetadata[providerOptionsName].acceptedPredictionTokens =\n                usage?.completion_tokens_details?.accepted_prediction_tokens;\n            }\n            if (\n              usage?.completion_tokens_details?.rejected_prediction_tokens !=\n              null\n            ) {\n              providerMetadata[providerOptionsName].rejectedPredictionTokens =\n                usage?.completion_tokens_details?.rejected_prediction_tokens;\n            }\n\n            controller.enqueue({\n              type: 'finish',\n              finishReason,\n              usage: convertUsage(usage),\n              providerMetadata,\n            });\n          },\n        }),\n      ),\n      request: { body },\n      response: { headers: responseHeaders },\n    };\n  }\n}\n\n// Loose, nested objects included: the parsed value is returned as `usage.raw`.\nconst openaiCompatibleTokenUsageSchema = z\n  .looseObject({\n    prompt_tokens: z.number().nullish(),\n    completion_tokens: z.number().nullish(),\n    total_tokens: z.number().nullish(),\n    prompt_tokens_details: z\n      .looseObject({\n        cached_tokens: z.number().nullish(),\n      })\n      .nullish(),\n    completion_tokens_details: z\n      .looseObject({\n        reasoning_tokens: z.number().nullish(),\n        accepted_prediction_tokens: z.number().nullish(),\n        rejected_prediction_tokens: z.number().nullish(),\n      })\n      .nullish(),\n  })\n  .nullish();\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst OpenAICompatibleChatResponseSchema = z.looseObject({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      message: z.object({\n        role: z.literal('assistant').nullish(),\n        content: z.string().nullish(),\n        reasoning_content: z.string().nullish(),\n        reasoning: z.string().nullish(),\n        tool_calls: z\n          .array(\n            z.object({\n              id: z.string().nullish(),\n              function: z.object({\n                name: z.string(),\n                arguments: z.string(),\n              }),\n              // Support for Google Gemini thought signatures via OpenAI compatibility\n              extra_content: z\n                .object({\n                  google: z\n                    .object({\n                      thought_signature: z.string().nullish(),\n                    })\n                    .nullish(),\n                })\n                .nullish(),\n            }),\n          )\n          .nullish(),\n      }),\n      finish_reason: z.string().nullish(),\n    }),\n  ),\n  usage: openaiCompatibleTokenUsageSchema,\n});\n\nconst chunkBaseSchema = z.looseObject({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      delta: z\n        .object({\n          role: z.enum(['assistant', '']).nullish(),\n          content: z.string().nullish(),\n          // Most openai-compatible models set `reasoning_content`, but some\n          // providers serving `gpt-oss` set `reasoning`. See #7866\n          reasoning_content: z.string().nullish(),\n          reasoning: z.string().nullish(),\n          tool_calls: z\n            .array(\n              z.object({\n                index: z.number().nullish(), //google does not send index\n                id: z.string().nullish(),\n                function: z.object({\n                  name: z.string().nullish(),\n                  arguments: z.string().nullish(),\n                }),\n                // Support for Google Gemini thought signatures via OpenAI compatibility\n                extra_content: z\n                  .object({\n                    google: z\n                      .object({\n                        thought_signature: z.string().nullish(),\n                      })\n                      .nullish(),\n                  })\n                  .nullish(),\n              }),\n            )\n            .nullish(),\n        })\n        .nullish(),\n      finish_reason: z.string().nullish(),\n    }),\n  ),\n  usage: openaiCompatibleTokenUsageSchema,\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst createOpenAICompatibleChatChunkSchema = <\n  ERROR_SCHEMA extends z.core.$ZodType,\n>(\n  errorSchema: ERROR_SCHEMA,\n) => z.union([chunkBaseSchema, errorSchema]);\n", "import type { SharedV4Warning } from '@ai-sdk/provider';\n\nexport function toCamelCase(str: string): string {\n  return str.replace(/[_-]([a-z])/g, g => g[1].toUpperCase());\n}\n\n/**\nResolves which key to use for providerMetadata based on what the caller\npassed in providerOptions. Returns the camelCase variant when the caller\nsupplied it, otherwise falls back to the raw name.\n*/\nexport function resolveProviderOptionsKey(\n  rawName: string,\n  providerOptions: Record<string, unknown> | undefined,\n): string {\n  const camelName = toCamelCase(rawName);\n  if (camelName !== rawName && providerOptions?.[camelName] != null) {\n    return camelName;\n  }\n  return rawName;\n}\n\n/**\nPushes a deprecation warning when the user supplies providerOptions under a non-camelCase key\n*/\nexport function warnIfDeprecatedProviderOptionsKey({\n  rawName,\n  providerOptions,\n  warnings,\n}: {\n  rawName: string;\n  providerOptions: Record<string, unknown> | undefined;\n  warnings: SharedV4Warning[];\n}): void {\n  const camelName = toCamelCase(rawName);\n  if (camelName !== rawName && providerOptions?.[rawName] != null) {\n    warnings.push({\n      type: 'deprecated',\n      setting: `providerOptions key '${rawName}'`,\n      message: `Use '${camelName}' instead.`,\n    });\n  }\n}\n", "import { z, type ZodType } from 'zod/v4';\nexport const openaiCompatibleErrorDataSchema = z.object({\n  error: z.object({\n    message: z.string(),\n\n    // The additional information below is handled loosely to support\n    // OpenAI-compatible providers that have slightly different error\n    // responses:\n    type: z.string().nullish(),\n    param: z.any().nullish(),\n    code: z.union([z.string(), z.number()]).nullish(),\n  }),\n});\n\nexport type OpenAICompatibleErrorData = z.infer<\n  typeof openaiCompatibleErrorDataSchema\n>;\n\nexport type ProviderErrorStructure<T> = {\n  errorSchema: ZodType<T>;\n  errorToMessage: (error: T) => string;\n  isRetryable?: (response: Response, error?: T) => boolean;\n};\n\nexport const defaultOpenAICompatibleErrorStructure: ProviderErrorStructure<OpenAICompatibleErrorData> =\n  {\n    errorSchema: openaiCompatibleErrorDataSchema,\n    errorToMessage: data => data.error.message,\n  };\n", "import type { LanguageModelV4Usage } from '@ai-sdk/provider';\nimport { createNullLanguageModelUsage } from '@ai-sdk/provider-utils';\n\nexport function convertOpenAICompatibleChatUsage(\n  usage:\n    | {\n        prompt_tokens?: number | null;\n        completion_tokens?: number | null;\n        prompt_tokens_details?: {\n          cached_tokens?: number | null;\n        } | null;\n        completion_tokens_details?: {\n          reasoning_tokens?: number | null;\n        } | null;\n      }\n    | undefined\n    | null,\n): LanguageModelV4Usage {\n  if (usage == null) {\n    return createNullLanguageModelUsage();\n  }\n\n  const promptTokens = usage.prompt_tokens ?? 0;\n  const completionTokens = usage.completion_tokens ?? 0;\n  const cacheReadTokens = usage.prompt_tokens_details?.cached_tokens ?? 0;\n  const reasoningTokens =\n    usage.completion_tokens_details?.reasoning_tokens ?? 0;\n\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens - cacheReadTokens,\n      cacheRead: cacheReadTokens,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: Math.max(0, completionTokens - reasoningTokens),\n      reasoning: reasoningTokens,\n    },\n    raw: usage,\n  };\n}\n", "import {\n  UnsupportedFunctionalityError,\n  type LanguageModelV4Prompt,\n  type SharedV4ProviderMetadata,\n} from '@ai-sdk/provider';\nimport type { OpenAICompatibleChatPrompt } from './openai-compatible-api-types';\nimport {\n  convertBase64ToUint8Array,\n  convertToBase64,\n  getTopLevelMediaType,\n  resolveFullMediaType,\n} from '@ai-sdk/provider-utils';\n\nfunction getOpenAIMetadata(message: {\n  providerOptions?: SharedV4ProviderMetadata;\n}) {\n  return message?.providerOptions?.openaiCompatible ?? {};\n}\n\nfunction getAudioFormat(mediaType: string): 'wav' | 'mp3' | null {\n  switch (mediaType) {\n    case 'audio/wav':\n      return 'wav';\n    case 'audio/mp3':\n    case 'audio/mpeg':\n      return 'mp3';\n    default:\n      return null;\n  }\n}\n\nexport function convertToOpenAICompatibleChatMessages(\n  prompt: LanguageModelV4Prompt,\n  { providerOptionsKey = 'google' }: { providerOptionsKey?: string } = {},\n): OpenAICompatibleChatPrompt {\n  const messages: OpenAICompatibleChatPrompt = [];\n  for (const { role, content, ...message } of prompt) {\n    const metadata = getOpenAIMetadata({ ...message });\n    switch (role) {\n      case 'system': {\n        messages.push({ role: 'system', content, ...metadata });\n        break;\n      }\n\n      case 'user': {\n        if (content.length === 1 && content[0].type === 'text') {\n          messages.push({\n            role: 'user',\n            content: content[0].text,\n            ...getOpenAIMetadata(content[0]),\n          });\n          break;\n        }\n\n        messages.push({\n          role: 'user',\n          content: content.map(part => {\n            const partMetadata = getOpenAIMetadata(part);\n            switch (part.type) {\n              case 'text': {\n                return { type: 'text', text: part.text, ...partMetadata };\n              }\n              case 'file': {\n                switch (part.data.type) {\n                  case 'reference': {\n                    throw new UnsupportedFunctionalityError({\n                      functionality: 'file parts with provider references',\n                    });\n                  }\n                  case 'text': {\n                    throw new UnsupportedFunctionalityError({\n                      functionality: 'text file parts',\n                    });\n                  }\n                  case 'url':\n                  case 'data': {\n                    const topLevel = getTopLevelMediaType(part.mediaType);\n\n                    if (topLevel === 'image') {\n                      return {\n                        type: 'image_url',\n                        image_url: {\n                          url:\n                            part.data.type === 'url'\n                              ? part.data.url.toString()\n                              : `data:${resolveFullMediaType({ part })};base64,${convertToBase64(part.data.data)}`,\n                        },\n                        ...partMetadata,\n                      };\n                    }\n\n                    if (topLevel === 'video') {\n                      return {\n                        type: 'video_url',\n                        video_url: {\n                          url:\n                            part.data.type === 'url'\n                              ? part.data.url.toString()\n                              : `data:${resolveFullMediaType({ part })};base64,${convertToBase64(part.data.data)}`,\n                        },\n                        ...partMetadata,\n                      };\n                    }\n\n                    if (topLevel === 'audio') {\n                      if (part.data.type === 'url') {\n                        throw new UnsupportedFunctionalityError({\n                          functionality: 'audio file parts with URLs',\n                        });\n                      }\n\n                      const fullMediaType = resolveFullMediaType({ part });\n                      const format = getAudioFormat(fullMediaType);\n                      if (format === null) {\n                        throw new UnsupportedFunctionalityError({\n                          functionality: `audio media type ${fullMediaType}`,\n                        });\n                      }\n\n                      return {\n                        type: 'input_audio',\n                        input_audio: {\n                          data: convertToBase64(part.data.data),\n                          format,\n                        },\n                        ...partMetadata,\n                      };\n                    }\n\n                    if (topLevel === 'application') {\n                      if (part.data.type === 'url') {\n                        throw new UnsupportedFunctionalityError({\n                          functionality: 'PDF file parts with URLs',\n                        });\n                      }\n\n                      const fullMediaType = resolveFullMediaType({ part });\n                      if (fullMediaType !== 'application/pdf') {\n                        throw new UnsupportedFunctionalityError({\n                          functionality: `file part media type ${fullMediaType}`,\n                        });\n                      }\n\n                      return {\n                        type: 'file',\n                        file: {\n                          filename: part.filename ?? 'document.pdf',\n                          file_data: `data:application/pdf;base64,${convertToBase64(part.data.data)}`,\n                        },\n                        ...partMetadata,\n                      };\n                    }\n\n                    if (topLevel === 'text') {\n                      const textContent =\n                        part.data.type === 'url'\n                          ? part.data.url.toString()\n                          : typeof part.data.data === 'string'\n                            ? new TextDecoder().decode(\n                                convertBase64ToUint8Array(part.data.data),\n                              )\n                            : new TextDecoder().decode(part.data.data);\n\n                      return {\n                        type: 'text',\n                        text: textContent,\n                        ...partMetadata,\n                      };\n                    }\n\n                    throw new UnsupportedFunctionalityError({\n                      functionality: `file part media type ${part.mediaType}`,\n                    });\n                  }\n                }\n              }\n            }\n          }),\n          ...metadata,\n        });\n\n        break;\n      }\n\n      case 'assistant': {\n        let text = '';\n        let reasoning = '';\n        const toolCalls: Array<{\n          id: string;\n          type: 'function';\n          function: { name: string; arguments: string };\n          extra_content?: {\n            google?: {\n              thought_signature?: string;\n            };\n          };\n        }> = [];\n\n        for (const part of content) {\n          const partMetadata = getOpenAIMetadata(part);\n          switch (part.type) {\n            case 'text': {\n              text += part.text;\n              break;\n            }\n            case 'reasoning': {\n              reasoning += part.text;\n              break;\n            }\n            case 'tool-call': {\n              // TODO: thoughtSignature should be abstracted once we add support for other providers\n              const thoughtSignature =\n                part.providerOptions?.[providerOptionsKey]?.thoughtSignature ??\n                part.providerOptions?.google?.thoughtSignature;\n              toolCalls.push({\n                id: part.toolCallId,\n                type: 'function',\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.input),\n                },\n                ...partMetadata,\n                // Include extra_content for Google Gemini thought signatures\n                ...(thoughtSignature\n                  ? {\n                      extra_content: {\n                        google: {\n                          thought_signature: String(thoughtSignature),\n                        },\n                      },\n                    }\n                  : {}),\n              });\n              break;\n            }\n          }\n        }\n\n        messages.push({\n          role: 'assistant',\n          content: toolCalls.length > 0 ? text || null : text,\n          ...(reasoning.length > 0 ? { reasoning_content: reasoning } : {}),\n          tool_calls: toolCalls.length > 0 ? toolCalls : undefined,\n          ...metadata,\n        });\n\n        break;\n      }\n\n      case 'tool': {\n        for (const toolResponse of content) {\n          if (toolResponse.type === 'tool-approval-response') {\n            continue;\n          }\n\n          const output = toolResponse.output;\n\n          let contentValue: string;\n          switch (output.type) {\n            case 'text':\n            case 'error-text':\n              contentValue = output.value;\n              break;\n            case 'execution-denied':\n              contentValue = output.reason ?? 'Tool call execution denied.';\n              break;\n            case 'content':\n            case 'json':\n            case 'error-json':\n              contentValue = JSON.stringify(output.value);\n              break;\n          }\n\n          const toolResponseMetadata = getOpenAIMetadata(toolResponse);\n          messages.push({\n            role: 'tool',\n            tool_call_id: toolResponse.toolCallId,\n            content: contentValue,\n            ...toolResponseMetadata,\n          });\n        }\n        break;\n      }\n\n      default: {\n        const _exhaustiveCheck: never = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return messages;\n}\n", "export { createLanguageModelResponseMetadata as getResponseMetadata } from '@ai-sdk/provider-utils';\n", "import type { LanguageModelV4FinishReason } from '@ai-sdk/provider';\n\nexport function mapOpenAICompatibleFinishReason(\n  finishReason: string | null | undefined,\n): LanguageModelV4FinishReason['unified'] {\n  switch (finishReason) {\n    case 'stop':\n      return 'stop';\n    case 'length':\n      return 'length';\n    case 'content_filter':\n      return 'content-filter';\n    case 'function_call':\n    case 'tool_calls':\n      return 'tool-calls';\n    default:\n      return 'other';\n  }\n}\n", "import { z } from 'zod/v4';\n\nexport type OpenAICompatibleChatModelId = string;\n\nexport const openaiCompatibleLanguageModelChatOptions = z.object({\n  /**\n   * A unique identifier representing your end-user, which can help the provider to\n   * monitor and detect abuse.\n   */\n  user: z.string().optional(),\n\n  /**\n   * Reasoning effort for reasoning models. Defaults to `medium`.\n   */\n  reasoningEffort: z.string().optional(),\n\n  /**\n   * Controls the verbosity of the generated text. Defaults to `medium`.\n   */\n  textVerbosity: z.string().optional(),\n\n  /**\n   * Whether to use strict JSON schema validation.\n   * When true, the model uses constrained decoding to guarantee schema compliance.\n   * Only used when the provider supports structured outputs and a schema is provided.\n   *\n   * @default true\n   */\n  strictJsonSchema: z.boolean().optional(),\n});\n\nexport type OpenAICompatibleLanguageModelChatOptions = z.infer<\n  typeof openaiCompatibleLanguageModelChatOptions\n>;\n", "import {\n  UnsupportedFunctionalityError,\n  type LanguageModelV4CallOptions,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nexport function prepareTools({\n  tools,\n  toolChoice,\n}: {\n  tools: LanguageModelV4CallOptions['tools'];\n  toolChoice?: LanguageModelV4CallOptions['toolChoice'];\n}): {\n  tools:\n    | undefined\n    | Array<{\n        type: 'function';\n        function: {\n          name: string;\n          description: string | undefined;\n          parameters: unknown;\n          strict?: boolean;\n        };\n      }>;\n  toolChoice:\n    | { type: 'function'; function: { name: string } }\n    | 'auto'\n    | 'none'\n    | 'required'\n    | undefined;\n  toolWarnings: SharedV4Warning[];\n} {\n  // when the tools array is empty, change it to undefined to prevent errors:\n  tools = tools?.length ? tools : undefined;\n\n  const toolWarnings: SharedV4Warning[] = [];\n\n  if (tools == null) {\n    return { tools: undefined, toolChoice: undefined, toolWarnings };\n  }\n\n  const openaiCompatTools: Array<{\n    type: 'function';\n    function: {\n      name: string;\n      description: string | undefined;\n      parameters: unknown;\n      strict?: boolean;\n    };\n  }> = [];\n\n  for (const tool of tools) {\n    if (tool.type === 'provider') {\n      toolWarnings.push({\n        type: 'unsupported',\n        feature: `provider-defined tool ${tool.id}`,\n      });\n    } else {\n      openaiCompatTools.push({\n        type: 'function',\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.inputSchema,\n          ...(tool.strict != null ? { strict: tool.strict } : {}),\n        },\n      });\n    }\n  }\n\n  if (toolChoice == null) {\n    return { tools: openaiCompatTools, toolChoice: undefined, toolWarnings };\n  }\n\n  const type = toolChoice.type;\n\n  switch (type) {\n    case 'auto':\n    case 'none':\n    case 'required':\n      return { tools: openaiCompatTools, toolChoice: type, toolWarnings };\n    case 'tool':\n      return {\n        tools: openaiCompatTools,\n        toolChoice: {\n          type: 'function',\n          function: { name: toolChoice.toolName },\n        },\n        toolWarnings,\n      };\n    default: {\n      const _exhaustiveCheck: never = type;\n      throw new UnsupportedFunctionalityError({\n        functionality: `tool choice type: ${_exhaustiveCheck}`,\n      });\n    }\n  }\n}\n", "import type {\n  APICallError,\n  LanguageModelV4,\n  LanguageModelV4CallOptions,\n  LanguageModelV4Content,\n  LanguageModelV4FinishReason,\n  LanguageModelV4GenerateResult,\n  LanguageModelV4StreamPart,\n  LanguageModelV4StreamResult,\n  SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type FetchFunction,\n  type ParseResult,\n  type ResponseHandler,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  toCamelCase,\n  warnIfDeprecatedProviderOptionsKey,\n} from '../utils/to-camel-case';\nimport {\n  defaultOpenAICompatibleErrorStructure,\n  type ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport { convertOpenAICompatibleCompletionUsage } from './convert-openai-compatible-completion-usage';\nimport { convertToOpenAICompatibleCompletionPrompt } from './convert-to-openai-compatible-completion-prompt';\nimport { getResponseMetadata } from './get-response-metadata';\nimport { mapOpenAICompatibleFinishReason } from './map-openai-compatible-finish-reason';\nimport {\n  openaiCompatibleLanguageModelCompletionOptions,\n  type OpenAICompatibleCompletionModelId,\n} from './openai-compatible-completion-language-model-options';\ntype OpenAICompatibleCompletionConfig = {\n  provider: string;\n  includeUsage?: boolean;\n  headers?: () => Record<string, string | undefined>;\n  url: (options: { modelId: string; path: string }) => string;\n  fetch?: FetchFunction;\n  errorStructure?: ProviderErrorStructure<any>;\n\n  /**\n   * The supported URLs for the model.\n   */\n  supportedUrls?: () => LanguageModelV4['supportedUrls'];\n};\n\nexport class OpenAICompatibleCompletionLanguageModel implements LanguageModelV4 {\n  readonly specificationVersion = 'v4';\n\n  readonly modelId: OpenAICompatibleCompletionModelId;\n  private readonly config: OpenAICompatibleCompletionConfig;\n  private readonly failedResponseHandler: ResponseHandler<APICallError>;\n  private readonly chunkSchema; // type inferred via constructor\n\n  static [WORKFLOW_SERIALIZE](model: OpenAICompatibleCompletionLanguageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: OpenAICompatibleCompletionConfig;\n  }) {\n    return new OpenAICompatibleCompletionLanguageModel(\n      options.modelId,\n      options.config,\n    );\n  }\n\n  constructor(\n    modelId: OpenAICompatibleCompletionModelId,\n    config: OpenAICompatibleCompletionConfig,\n  ) {\n    this.modelId = modelId;\n    this.config = config;\n\n    // initialize error handling:\n    const errorStructure =\n      config.errorStructure ?? defaultOpenAICompatibleErrorStructure;\n    this.chunkSchema = createOpenAICompatibleCompletionChunkSchema(\n      errorStructure.errorSchema,\n    );\n    this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure);\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private get providerOptionsName(): string {\n    return this.config.provider.split('.')[0].trim();\n  }\n\n  get supportedUrls() {\n    return this.config.supportedUrls?.() ?? {};\n  }\n\n  private async getArgs({\n    prompt,\n    maxOutputTokens,\n    temperature,\n    topP,\n    topK,\n    frequencyPenalty,\n    presencePenalty,\n    stopSequences: userStopSequences,\n    responseFormat,\n    seed,\n    providerOptions,\n    tools,\n    toolChoice,\n  }: LanguageModelV4CallOptions) {\n    const warnings: SharedV4Warning[] = [];\n\n    // Warn when the raw (non-camelCase) provider name is used\n    warnIfDeprecatedProviderOptionsKey({\n      rawName: this.providerOptionsName,\n      providerOptions,\n      warnings,\n    });\n\n    // Parse provider options (support both raw and camelCase keys)\n    const completionOptions = Object.assign(\n      (await parseProviderOptions({\n        provider: this.providerOptionsName,\n        providerOptions,\n        schema: openaiCompatibleLanguageModelCompletionOptions,\n      })) ?? {},\n      (await parseProviderOptions({\n        provider: toCamelCase(this.providerOptionsName),\n        providerOptions,\n        schema: openaiCompatibleLanguageModelCompletionOptions,\n      })) ?? {},\n    );\n\n    if (topK != null) {\n      warnings.push({ type: 'unsupported', feature: 'topK' });\n    }\n\n    if (tools?.length) {\n      warnings.push({ type: 'unsupported', feature: 'tools' });\n    }\n\n    if (toolChoice != null) {\n      warnings.push({ type: 'unsupported', feature: 'toolChoice' });\n    }\n\n    if (responseFormat != null && responseFormat.type !== 'text') {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'responseFormat',\n        details: 'JSON response format is not supported.',\n      });\n    }\n\n    const { prompt: completionPrompt, stopSequences } =\n      convertToOpenAICompatibleCompletionPrompt({ prompt });\n\n    const stop = [...(stopSequences ?? []), ...(userStopSequences ?? [])];\n\n    return {\n      args: {\n        // model id:\n        model: this.modelId,\n\n        // model specific settings:\n        echo: completionOptions.echo,\n        logit_bias: completionOptions.logitBias,\n        suffix: completionOptions.suffix,\n        user: completionOptions.user,\n\n        // standardized settings:\n        max_tokens: maxOutputTokens,\n        temperature,\n        top_p: topP,\n        frequency_penalty: frequencyPenalty,\n        presence_penalty: presencePenalty,\n        seed,\n        ...providerOptions?.[this.providerOptionsName],\n        ...providerOptions?.[toCamelCase(this.providerOptionsName)],\n\n        // prompt:\n        prompt: completionPrompt,\n\n        // stop sequences:\n        stop: stop.length > 0 ? stop : undefined,\n      },\n      warnings,\n    };\n  }\n\n  async doGenerate(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4GenerateResult> {\n    const { args, warnings } = await this.getArgs(options);\n\n    const {\n      responseHeaders,\n      value: response,\n      rawValue: rawResponse,\n    } = await postJsonToApi({\n      url: this.config.url({\n        path: '/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body: args,\n      failedResponseHandler: this.failedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        openaiCompatibleCompletionResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const choice = response.choices[0];\n    const content: Array<LanguageModelV4Content> = [];\n\n    // text content:\n    if (choice.text != null && choice.text.length > 0) {\n      content.push({ type: 'text', text: choice.text });\n    }\n\n    return {\n      content,\n      usage: convertOpenAICompatibleCompletionUsage(response.usage),\n      finishReason: {\n        unified: mapOpenAICompatibleFinishReason(choice.finish_reason),\n        raw: choice.finish_reason,\n      },\n      request: { body: args },\n      response: {\n        ...getResponseMetadata(response),\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n      warnings,\n    };\n  }\n\n  async doStream(\n    options: LanguageModelV4CallOptions,\n  ): Promise<LanguageModelV4StreamResult> {\n    const { args, warnings } = await this.getArgs(options);\n\n    const body = {\n      ...args,\n      stream: true,\n\n      // only include stream_options when in strict compatibility mode:\n      stream_options: this.config.includeUsage\n        ? { include_usage: true }\n        : undefined,\n    };\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), options.headers),\n      body,\n      failedResponseHandler: this.failedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        this.chunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    let finishReason: LanguageModelV4FinishReason = {\n      unified: 'other',\n      raw: undefined,\n    };\n    let usage:\n      | {\n          prompt_tokens: number | undefined;\n          completion_tokens: number | undefined;\n          total_tokens: number | undefined;\n        }\n      | undefined = undefined;\n    let isFirstChunk = true;\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<z.infer<typeof this.chunkSchema>>,\n          LanguageModelV4StreamPart\n        >({\n          start(controller) {\n            controller.enqueue({ type: 'stream-start', warnings });\n          },\n\n          transform(chunk, controller) {\n            if (options.includeRawChunks) {\n              controller.enqueue({ type: 'raw', rawValue: chunk.rawValue });\n            }\n\n            // handle failed chunk parsing / validation:\n            if (!chunk.success) {\n              finishReason = { unified: 'error', raw: undefined };\n              controller.enqueue({ type: 'error', error: chunk.error });\n              return;\n            }\n\n            const value = chunk.value;\n\n            // handle error chunks:\n            if ('error' in value) {\n              finishReason = { unified: 'error', raw: undefined };\n              controller.enqueue({ type: 'error', error: value.error });\n              return;\n            }\n\n            if (isFirstChunk) {\n              isFirstChunk = false;\n\n              controller.enqueue({\n                type: 'response-metadata',\n                ...getResponseMetadata(value),\n              });\n\n              controller.enqueue({\n                type: 'text-start',\n                id: '0',\n              });\n            }\n\n            if (value.usage != null) {\n              usage = value.usage;\n            }\n\n            const choice = value.choices[0];\n\n            if (choice?.finish_reason != null) {\n              finishReason = {\n                unified: mapOpenAICompatibleFinishReason(choice.finish_reason),\n                raw: choice.finish_reason ?? undefined,\n              };\n            }\n\n            if (choice?.text != null) {\n              controller.enqueue({\n                type: 'text-delta',\n                id: '0',\n                delta: choice.text,\n              });\n            }\n          },\n\n          flush(controller) {\n            if (!isFirstChunk) {\n              controller.enqueue({ type: 'text-end', id: '0' });\n            }\n\n            controller.enqueue({\n              type: 'finish',\n              finishReason,\n              usage: convertOpenAICompatibleCompletionUsage(usage),\n            });\n          },\n        }),\n      ),\n      request: { body },\n      response: { headers: responseHeaders },\n    };\n  }\n}\n\n// Loose: the parsed value is returned as `usage.raw`.\nconst usageSchema = z.looseObject({\n  prompt_tokens: z.number(),\n  completion_tokens: z.number(),\n  total_tokens: z.number(),\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst openaiCompatibleCompletionResponseSchema = z.object({\n  id: z.string().nullish(),\n  created: z.number().nullish(),\n  model: z.string().nullish(),\n  choices: z.array(\n    z.object({\n      text: z.string(),\n      finish_reason: z.string(),\n    }),\n  ),\n  usage: usageSchema.nullish(),\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst createOpenAICompatibleCompletionChunkSchema = <\n  ERROR_SCHEMA extends z.core.$ZodType,\n>(\n  errorSchema: ERROR_SCHEMA,\n) =>\n  z.union([\n    z.object({\n      id: z.string().nullish(),\n      created: z.number().nullish(),\n      model: z.string().nullish(),\n      choices: z.array(\n        z.object({\n          text: z.string(),\n          finish_reason: z.string().nullish(),\n          index: z.number(),\n        }),\n      ),\n      usage: usageSchema.nullish(),\n    }),\n    errorSchema,\n  ]);\n", "import type { LanguageModelV4Usage } from '@ai-sdk/provider';\nimport { createNullLanguageModelUsage } from '@ai-sdk/provider-utils';\n\nexport function convertOpenAICompatibleCompletionUsage(\n  usage:\n    | {\n        prompt_tokens?: number | null;\n        completion_tokens?: number | null;\n      }\n    | undefined\n    | null,\n): LanguageModelV4Usage {\n  if (usage == null) {\n    return createNullLanguageModelUsage();\n  }\n\n  const promptTokens = usage.prompt_tokens ?? 0;\n  const completionTokens = usage.completion_tokens ?? 0;\n\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens,\n      cacheRead: undefined,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: completionTokens,\n      text: completionTokens,\n      reasoning: undefined,\n    },\n    raw: usage,\n  };\n}\n", "import {\n  InvalidPromptError,\n  UnsupportedFunctionalityError,\n  type LanguageModelV4Prompt,\n} from '@ai-sdk/provider';\nexport function convertToOpenAICompatibleCompletionPrompt({\n  prompt,\n  user = 'user',\n  assistant = 'assistant',\n}: {\n  prompt: LanguageModelV4Prompt;\n  user?: string;\n  assistant?: string;\n}): {\n  prompt: string;\n  stopSequences?: string[];\n} {\n  // transform to a chat message format:\n  let text = '';\n\n  // if first message is a system message, add it to the text:\n  if (prompt[0].role === 'system') {\n    text += `${prompt[0].content}\\n\\n`;\n    prompt = prompt.slice(1);\n  }\n\n  for (const { role, content } of prompt) {\n    switch (role) {\n      case 'system': {\n        throw new InvalidPromptError({\n          message: 'Unexpected system message in prompt: ${content}',\n          prompt,\n        });\n      }\n\n      case 'user': {\n        const userMessage = content\n          .map(part => {\n            switch (part.type) {\n              case 'text': {\n                return part.text;\n              }\n            }\n          })\n          .filter(Boolean)\n          .join('');\n\n        text += `${user}:\\n${userMessage}\\n\\n`;\n        break;\n      }\n\n      case 'assistant': {\n        const assistantMessage = content\n          .map(part => {\n            switch (part.type) {\n              case 'text': {\n                return part.text;\n              }\n              case 'tool-call': {\n                throw new UnsupportedFunctionalityError({\n                  functionality: 'tool-call messages',\n                });\n              }\n            }\n          })\n          .join('');\n\n        text += `${assistant}:\\n${assistantMessage}\\n\\n`;\n        break;\n      }\n\n      case 'tool': {\n        throw new UnsupportedFunctionalityError({\n          functionality: 'tool messages',\n        });\n      }\n\n      default: {\n        const _exhaustiveCheck: never = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n\n  // Assistant message prefix:\n  text += `${assistant}:\\n`;\n\n  return {\n    prompt: text,\n    stopSequences: [`\\n${user}:`],\n  };\n}\n", "export { createLanguageModelResponseMetadata as getResponseMetadata } from '@ai-sdk/provider-utils';\n", "import type { LanguageModelV4FinishReason } from '@ai-sdk/provider';\n\nexport function mapOpenAICompatibleFinishReason(\n  finishReason: string | null | undefined,\n): LanguageModelV4FinishReason['unified'] {\n  switch (finishReason) {\n    case 'stop':\n      return 'stop';\n    case 'length':\n      return 'length';\n    case 'content_filter':\n      return 'content-filter';\n    case 'function_call':\n    case 'tool_calls':\n      return 'tool-calls';\n    default:\n      return 'other';\n  }\n}\n", "import { z } from 'zod/v4';\n\nexport type OpenAICompatibleCompletionModelId = string;\n\nexport const openaiCompatibleLanguageModelCompletionOptions = z.object({\n  /**\n   * Echo back the prompt in addition to the completion.\n   */\n  echo: z.boolean().optional(),\n\n  /**\n   * Modify the likelihood of specified tokens appearing in the completion.\n   *\n   * Accepts a JSON object that maps tokens (specified by their token ID in\n   * the GPT tokenizer) to an associated bias value from -100 to 100.\n   */\n  logitBias: z.record(z.string(), z.number()).optional(),\n\n  /**\n   * The suffix that comes after a completion of inserted text.\n   */\n  suffix: z.string().optional(),\n\n  /**\n   * A unique identifier representing your end-user, which can help providers to\n   * monitor and detect abuse.\n   */\n  user: z.string().optional(),\n});\n\nexport type OpenAICompatibleLanguageModelCompletionOptions = z.infer<\n  typeof openaiCompatibleLanguageModelCompletionOptions\n>;\n", "import {\n  TooManyEmbeddingValuesForCallError,\n  type EmbeddingModelV4,\n  type SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postJsonToApi,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  openaiCompatibleEmbeddingModelOptions,\n  type OpenAICompatibleEmbeddingModelId,\n} from './openai-compatible-embedding-model-options';\nimport {\n  defaultOpenAICompatibleErrorStructure,\n  type ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport { warnIfDeprecatedProviderOptionsKey } from '../utils/to-camel-case';\n\ntype OpenAICompatibleEmbeddingConfig = {\n  /**\n   * Override the maximum number of embeddings per call.\n   */\n  maxEmbeddingsPerCall?: number;\n\n  /**\n   * Override the parallelism of embedding calls.\n   */\n  supportsParallelCalls?: boolean;\n\n  provider: string;\n  url: (options: { modelId: string; path: string }) => string;\n  headers?: () => Record<string, string | undefined>;\n  fetch?: FetchFunction;\n  errorStructure?: ProviderErrorStructure<any>;\n};\n\nexport class OpenAICompatibleEmbeddingModel implements EmbeddingModelV4 {\n  readonly specificationVersion = 'v4';\n  readonly modelId: OpenAICompatibleEmbeddingModelId;\n\n  private readonly config: OpenAICompatibleEmbeddingConfig;\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  get maxEmbeddingsPerCall(): number {\n    return this.config.maxEmbeddingsPerCall ?? 2048;\n  }\n\n  get supportsParallelCalls(): boolean {\n    return this.config.supportsParallelCalls ?? true;\n  }\n\n  static [WORKFLOW_SERIALIZE](model: OpenAICompatibleEmbeddingModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: OpenAICompatibleEmbeddingConfig;\n  }) {\n    return new OpenAICompatibleEmbeddingModel(options.modelId, options.config);\n  }\n\n  constructor(\n    modelId: OpenAICompatibleEmbeddingModelId,\n    config: OpenAICompatibleEmbeddingConfig,\n  ) {\n    this.modelId = modelId;\n    this.config = config;\n  }\n\n  private get providerOptionsName(): string {\n    return this.config.provider.split('.')[0].trim();\n  }\n\n  async doEmbed({\n    values,\n    headers,\n    abortSignal,\n    providerOptions,\n  }: Parameters<EmbeddingModelV4['doEmbed']>[0]): Promise<\n    Awaited<ReturnType<EmbeddingModelV4['doEmbed']>>\n  > {\n    const warnings: SharedV4Warning[] = [];\n\n    // Parse provider options - check for deprecated 'openai-compatible' key\n    const deprecatedOptions = await parseProviderOptions({\n      provider: 'openai-compatible',\n      providerOptions,\n      schema: openaiCompatibleEmbeddingModelOptions,\n    });\n\n    if (deprecatedOptions != null) {\n      warnings.push({\n        type: 'deprecated',\n        setting: \"providerOptions key 'openai-compatible'\",\n        message: \"Use 'openaiCompatible' instead.\",\n      });\n    }\n\n    // Warn when the raw (non-camelCase) provider name is used\n    warnIfDeprecatedProviderOptionsKey({\n      rawName: this.providerOptionsName,\n      providerOptions,\n      warnings,\n    });\n\n    const compatibleOptions = Object.assign(\n      deprecatedOptions ?? {},\n      (await parseProviderOptions({\n        provider: 'openaiCompatible',\n        providerOptions,\n        schema: openaiCompatibleEmbeddingModelOptions,\n      })) ?? {},\n      (await parseProviderOptions({\n        provider: this.providerOptionsName,\n        providerOptions,\n        schema: openaiCompatibleEmbeddingModelOptions,\n      })) ?? {},\n    );\n\n    if (values.length > this.maxEmbeddingsPerCall) {\n      throw new TooManyEmbeddingValuesForCallError({\n        provider: this.provider,\n        modelId: this.modelId,\n        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,\n        values,\n      });\n    }\n\n    const {\n      responseHeaders,\n      value: response,\n      rawValue,\n    } = await postJsonToApi({\n      url: this.config.url({\n        path: '/embeddings',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), headers),\n      body: {\n        model: this.modelId,\n        input: values,\n        encoding_format: 'float',\n        dimensions: compatibleOptions.dimensions,\n        user: compatibleOptions.user,\n      },\n      failedResponseHandler: createJsonErrorResponseHandler(\n        this.config.errorStructure ?? defaultOpenAICompatibleErrorStructure,\n      ),\n      successfulResponseHandler: createJsonResponseHandler(\n        openaiTextEmbeddingResponseSchema,\n      ),\n      abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    return {\n      warnings,\n      embeddings: response.data.map(item => item.embedding),\n      usage: response.usage\n        ? { tokens: response.usage.prompt_tokens }\n        : undefined,\n      providerMetadata: response.providerMetadata,\n      response: { headers: responseHeaders, body: rawValue },\n    };\n  }\n}\n\n// minimal version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst openaiTextEmbeddingResponseSchema = z.object({\n  data: z.array(z.object({ embedding: z.array(z.number()) })),\n  usage: z.object({ prompt_tokens: z.number() }).nullish(),\n  providerMetadata: z\n    .record(z.string(), z.record(z.string(), z.any()))\n    .optional(),\n});\n", "import { z } from 'zod/v4';\n\nexport type OpenAICompatibleEmbeddingModelId = string;\n\nexport const openaiCompatibleEmbeddingModelOptions = z.object({\n  /**\n   * The number of dimensions the resulting output embeddings should have.\n   * Only supported in text-embedding-3 and later models.\n   */\n  dimensions: z.number().optional(),\n\n  /**\n   * A unique identifier representing your end-user, which can help providers to\n   * monitor and detect abuse.\n   */\n  user: z.string().optional(),\n});\n\nexport type OpenAICompatibleEmbeddingModelOptions = z.infer<\n  typeof openaiCompatibleEmbeddingModelOptions\n>;\n", "import type {\n  ImageModelV4,\n  ImageModelV4File,\n  ImageModelV4Usage,\n  SharedV4ProviderOptions,\n  SharedV4Warning,\n} from '@ai-sdk/provider';\nimport {\n  toCamelCase,\n  warnIfDeprecatedProviderOptionsKey,\n} from '../utils/to-camel-case';\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  convertToFormData,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  downloadBlob,\n  postFormDataToApi,\n  postJsonToApi,\n  serializeModelOptions,\n  WORKFLOW_SERIALIZE,\n  WORKFLOW_DESERIALIZE,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n  defaultOpenAICompatibleErrorStructure,\n  type ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport type { OpenAICompatibleImageModelId } from './openai-compatible-image-settings';\n\nexport type OpenAICompatibleImageModelConfig = {\n  provider: string;\n  headers?: () => Record<string, string | undefined>;\n  url: (options: { modelId: string; path: string }) => string;\n  fetch?: FetchFunction;\n  errorStructure?: ProviderErrorStructure<any>;\n  _internal?: {\n    currentDate?: () => Date;\n  };\n};\n\nexport class OpenAICompatibleImageModel implements ImageModelV4 {\n  readonly specificationVersion = 'v4';\n  readonly maxImagesPerCall = 10;\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  /**\n   * The provider options key used to extract provider-specific options.\n   */\n  private get providerOptionsKey(): string {\n    return this.config.provider.split('.')[0].trim();\n  }\n\n  static [WORKFLOW_SERIALIZE](model: OpenAICompatibleImageModel) {\n    return serializeModelOptions({\n      modelId: model.modelId,\n      config: model.config,\n    });\n  }\n\n  static [WORKFLOW_DESERIALIZE](options: {\n    modelId: string;\n    config: OpenAICompatibleImageModelConfig;\n  }) {\n    return new OpenAICompatibleImageModel(options.modelId, options.config);\n  }\n\n  constructor(\n    readonly modelId: OpenAICompatibleImageModelId,\n    private readonly config: OpenAICompatibleImageModelConfig,\n  ) {}\n\n  private getArgs(\n    providerOptions: SharedV4ProviderOptions,\n    warnings: SharedV4Warning[],\n  ): Record<string, unknown> {\n    warnIfDeprecatedProviderOptionsKey({\n      rawName: this.providerOptionsKey,\n      providerOptions,\n      warnings,\n    });\n    return {\n      ...providerOptions[this.providerOptionsKey],\n      ...providerOptions[toCamelCase(this.providerOptionsKey)],\n    };\n  }\n\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    aspectRatio,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n    files,\n    mask,\n  }: Parameters<ImageModelV4['doGenerate']>[0]): Promise<\n    Awaited<ReturnType<ImageModelV4['doGenerate']>>\n  > {\n    const warnings: Array<SharedV4Warning> = [];\n\n    if (aspectRatio != null) {\n      warnings.push({\n        type: 'unsupported',\n        feature: 'aspectRatio',\n        details:\n          'This model does not support aspect ratio. Use `size` instead.',\n      });\n    }\n\n    if (seed != null) {\n      warnings.push({ type: 'unsupported', feature: 'seed' });\n    }\n\n    const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n\n    const args = this.getArgs(providerOptions, warnings);\n\n    // Image editing mode - use form data and /images/edits endpoint\n    if (files != null && files.length > 0) {\n      const { value: response, responseHeaders } = await postFormDataToApi({\n        url: this.config.url({\n          path: '/images/edits',\n          modelId: this.modelId,\n        }),\n        headers: combineHeaders(this.config.headers?.(), headers),\n        formData: convertToFormData<OpenAICompatibleFormDataInput>({\n          model: this.modelId,\n          prompt,\n          image: await Promise.all(files.map(file => fileToBlob(file))),\n          mask: mask != null ? await fileToBlob(mask) : undefined,\n          n,\n          size,\n          ...args,\n        }),\n        failedResponseHandler: createJsonErrorResponseHandler(\n          this.config.errorStructure ?? defaultOpenAICompatibleErrorStructure,\n        ),\n        successfulResponseHandler: createJsonResponseHandler(\n          openaiCompatibleImageResponseSchema,\n        ),\n        abortSignal,\n        fetch: this.config.fetch,\n      });\n\n      return {\n        images: response.data.map(item => item.b64_json),\n        warnings,\n        usage: mapImageUsage(response.usage),\n        response: {\n          timestamp: currentDate,\n          modelId: this.modelId,\n          headers: responseHeaders,\n        },\n      };\n    }\n\n    // Standard image generation mode - use JSON and /images/generations endpoint\n    const { value: response, responseHeaders } = await postJsonToApi({\n      url: this.config.url({\n        path: '/images/generations',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers?.(), headers),\n      body: {\n        model: this.modelId,\n        prompt,\n        n,\n        size,\n        ...args,\n      },\n      failedResponseHandler: createJsonErrorResponseHandler(\n        this.config.errorStructure ?? defaultOpenAICompatibleErrorStructure,\n      ),\n      successfulResponseHandler: createJsonResponseHandler(\n        openaiCompatibleImageResponseSchema,\n      ),\n      abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    return {\n      images: response.data.map(item => item.b64_json),\n      warnings,\n      usage: mapImageUsage(response.usage),\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n      },\n    };\n  }\n}\n\n// Providers that omit `usage` are not warned about: many OpenAI-compatible\n// backends legitimately do not report token counts for image generation.\nfunction mapImageUsage(\n  usage: z.infer<typeof openaiCompatibleImageResponseSchema>['usage'],\n): ImageModelV4Usage | undefined {\n  return usage == null\n    ? undefined\n    : {\n        inputTokens: usage.input_tokens ?? undefined,\n        outputTokens: usage.output_tokens ?? undefined,\n        totalTokens: usage.total_tokens ?? undefined,\n      };\n}\n\n// minimal version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst openaiCompatibleImageResponseSchema = z.object({\n  data: z.array(z.object({ b64_json: z.string() })),\n  usage: z\n    .object({\n      input_tokens: z.number().nullish(),\n      output_tokens: z.number().nullish(),\n      total_tokens: z.number().nullish(),\n    })\n    .nullish(),\n});\n\ntype OpenAICompatibleFormDataInput = {\n  model: string;\n  prompt: string | undefined;\n  image: Blob | Blob[];\n  mask?: Blob;\n  n: number;\n  size: `${number}x${number}` | undefined;\n  [key: string]: unknown;\n};\n\nasync function fileToBlob(file: ImageModelV4File): Promise<Blob> {\n  if (file.type === 'url') {\n    return downloadBlob(file.url);\n  }\n\n  const data =\n    file.data instanceof Uint8Array\n      ? file.data\n      : convertBase64ToUint8Array(file.data);\n\n  return new Blob([data as BlobPart], { type: file.mediaType });\n}\n", "import type {\n  EmbeddingModelV4,\n  ImageModelV4,\n  LanguageModelV4,\n  ProviderV4,\n} from '@ai-sdk/provider';\nimport {\n  withoutTrailingSlash,\n  withUserAgentSuffix,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport {\n  OpenAICompatibleChatLanguageModel,\n  type OpenAICompatibleChatConfig,\n} from './chat/openai-compatible-chat-language-model';\nimport type { MetadataExtractor } from './chat/openai-compatible-metadata-extractor';\nimport { OpenAICompatibleCompletionLanguageModel } from './completion/openai-compatible-completion-language-model';\nimport { OpenAICompatibleEmbeddingModel } from './embedding/openai-compatible-embedding-model';\nimport { OpenAICompatibleImageModel } from './image/openai-compatible-image-model';\nimport { VERSION } from './version';\n\nexport interface OpenAICompatibleProvider<\n  CHAT_MODEL_IDS extends string = string,\n  COMPLETION_MODEL_IDS extends string = string,\n  EMBEDDING_MODEL_IDS extends string = string,\n  IMAGE_MODEL_IDS extends string = string,\n> extends ProviderV4 {\n  (modelId: CHAT_MODEL_IDS): LanguageModelV4;\n\n  languageModel(\n    modelId: CHAT_MODEL_IDS,\n    config?: Partial<OpenAICompatibleChatConfig>,\n  ): LanguageModelV4;\n\n  chatModel(modelId: CHAT_MODEL_IDS): LanguageModelV4;\n\n  completionModel(modelId: COMPLETION_MODEL_IDS): LanguageModelV4;\n\n  embeddingModel(modelId: EMBEDDING_MODEL_IDS): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: EMBEDDING_MODEL_IDS): EmbeddingModelV4;\n\n  imageModel(modelId: IMAGE_MODEL_IDS): ImageModelV4;\n}\n\nexport interface OpenAICompatibleProviderSettings {\n  /**\n   * Base URL for the API calls.\n   */\n  baseURL: string;\n\n  /**\n   * Provider name.\n   */\n  name: string;\n\n  /**\n   * API key for authenticating requests. If specified, adds an `Authorization`\n   * header to request headers with the value `Bearer <apiKey>`. This will be added\n   * before any headers potentially specified in the `headers` option.\n   */\n  apiKey?: string;\n\n  /**\n   * Optional custom headers to include in requests. These will be added to request headers\n   * after any headers potentially added by use of the `apiKey` option.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Optional custom url query parameters to include in request urls.\n   */\n  queryParams?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Include usage information in streaming responses.\n   */\n  includeUsage?: boolean;\n\n  /**\n   * Whether the provider supports structured outputs in chat models.\n   */\n  supportsStructuredOutputs?: boolean;\n\n  /**\n   * Optional function to transform the request body before sending it to the API.\n   * This is useful for proxy providers that may require a different request format\n   * than the official OpenAI API.\n   */\n  transformRequestBody?: (args: Record<string, any>) => Record<string, any>;\n\n  /**\n   * Optional metadata extractor to capture provider-specific metadata from API responses.\n   * This is useful for extracting non-standard fields, experimental features,\n   * or provider-specific metrics from both streaming and non-streaming responses.\n   */\n  metadataExtractor?: MetadataExtractor;\n\n  /**\n   * The supported URLs for chat models.\n   */\n  supportedUrls?: OpenAICompatibleChatConfig['supportedUrls'];\n\n  /**\n   * Optional usage converter for providers with token accounting semantics that\n   * differ from the default OpenAI-compatible shape.\n   */\n  convertUsage?: OpenAICompatibleChatConfig['convertUsage'];\n}\n\n/**\n * Create an OpenAICompatible provider instance.\n */\nexport function createOpenAICompatible<\n  CHAT_MODEL_IDS extends string,\n  COMPLETION_MODEL_IDS extends string,\n  EMBEDDING_MODEL_IDS extends string,\n  IMAGE_MODEL_IDS extends string,\n>(\n  options: OpenAICompatibleProviderSettings,\n): OpenAICompatibleProvider<\n  CHAT_MODEL_IDS,\n  COMPLETION_MODEL_IDS,\n  EMBEDDING_MODEL_IDS,\n  IMAGE_MODEL_IDS\n> {\n  const baseURL = withoutTrailingSlash(options.baseURL);\n  const providerName = options.name;\n\n  interface CommonModelConfig {\n    provider: string;\n    url: ({ path }: { path: string }) => string;\n    headers: () => Record<string, string>;\n    fetch?: FetchFunction;\n  }\n\n  const headers = {\n    ...(options.apiKey && { Authorization: `Bearer ${options.apiKey}` }),\n    ...options.headers,\n  };\n\n  const getHeaders = () =>\n    withUserAgentSuffix(headers, `ai-sdk/openai-compatible/${VERSION}`);\n\n  const getCommonModelConfig = (modelType: string): CommonModelConfig => ({\n    provider: `${providerName}.${modelType}`,\n    url: ({ path }) => {\n      const url = new URL(`${baseURL}${path}`);\n      if (options.queryParams) {\n        url.search = new URLSearchParams(options.queryParams).toString();\n      }\n      return url.toString();\n    },\n    headers: getHeaders,\n    fetch: options.fetch,\n  });\n\n  const createLanguageModel = (modelId: CHAT_MODEL_IDS) =>\n    createChatModel(modelId);\n\n  const createChatModel = (modelId: CHAT_MODEL_IDS) =>\n    new OpenAICompatibleChatLanguageModel(modelId, {\n      ...getCommonModelConfig('chat'),\n      includeUsage: options.includeUsage,\n      supportsStructuredOutputs: options.supportsStructuredOutputs,\n      supportedUrls: options.supportedUrls,\n      transformRequestBody: options.transformRequestBody,\n      metadataExtractor: options.metadataExtractor,\n      convertUsage: options.convertUsage,\n    });\n\n  const createCompletionModel = (modelId: COMPLETION_MODEL_IDS) =>\n    new OpenAICompatibleCompletionLanguageModel(modelId, {\n      ...getCommonModelConfig('completion'),\n      includeUsage: options.includeUsage,\n    });\n\n  const createEmbeddingModel = (modelId: EMBEDDING_MODEL_IDS) =>\n    new OpenAICompatibleEmbeddingModel(modelId, {\n      ...getCommonModelConfig('embedding'),\n    });\n\n  const createImageModel = (modelId: IMAGE_MODEL_IDS) =>\n    new OpenAICompatibleImageModel(modelId, getCommonModelConfig('image'));\n\n  const provider = (modelId: CHAT_MODEL_IDS) => createLanguageModel(modelId);\n\n  provider.specificationVersion = 'v4' as const;\n  provider.languageModel = createLanguageModel;\n  provider.chatModel = createChatModel;\n  provider.completionModel = createCompletionModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.imageModel = createImageModel;\n\n  return provider as OpenAICompatibleProvider<\n    CHAT_MODEL_IDS,\n    COMPLETION_MODEL_IDS,\n    EMBEDDING_MODEL_IDS,\n    IMAGE_MODEL_IDS\n  >;\n}\n", "declare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n", "import { generateText, streamText, jsonSchema } from \"ai\";\nimport { createMistral } from \"@ai-sdk/mistral\";\nimport { createOpenAICompatible } from \"@ai-sdk/openai-compatible\";\nimport type { ModelConfig } from \"./autoModel\";\nimport modelsConfig from \"./models.json\";\n\n// When running under the TUI, direct console writes corrupt the Ink render\n// because Ink owns the terminal output stream. In that mode the agent hook\n// surfaces errors via toasts, so we just no-op the provider's diagnostic\n// logging.\nconst IS_TUI = process.env.BRAVECODE_TUI === '1';\nfunction logError(...args: unknown[]): void {\n  if (IS_TUI) return;\n  console.error(...args);\n}\n\nexport interface ToolCall {\n  id: string;\n  name: string;\n  arguments: any;\n}\n\nexport interface ToolDefinition {\n  type: \"function\";\n  function: {\n    name: string;\n    description: string;\n    parameters: any;\n  };\n}\n\nexport interface Message {\n  role: \"system\" | \"user\" | \"assistant\" | \"tool\";\n  content: string;\n  toolCallId?: string;\n  name?: string;\n  toolCalls?: ToolCall[];\n}\n\nexport interface ChatParams {\n  model: string;\n  messages: Message[];\n  temperature?: number;\n  maxTokens?: number;\n  tools?: ToolDefinition[];\n  signal?: AbortSignal;\n}\n\nexport interface ChatResponse {\n  text?: string;\n  toolCalls: ToolCall[];\n  finishReason: \"stop\" | \"tool_calls\" | \"length\";\n  usage: { input: number; output: number };\n}\n\nexport interface StreamChunk {\n  type: \"text\" | \"tool_call\" | \"finish\";\n  text?: string;\n  toolCall?: ToolCall;\n  finishReason?: string;\n}\n\ninterface CoderoStreamDelta {\n  type?: string;\n  delta?: string;\n  chunk?: string;\n  done?: boolean;\n  keySlot?: number;\n  model?: string;\n}\n\nconst TOOL_CALL_OPEN = \"<tool_call>\";\nconst TOOL_CALL_CLOSE = \"</tool_call>\";\n\n/**\n * Longest suffix of `buffer` that is a proper prefix of `tag`.\n * Used to hold back a possibly-incomplete tag split across stream chunks.\n */\nfunction partialTagSuffixLength(buffer: string, tag: string): number {\n  const max = Math.min(tag.length - 1, buffer.length);\n  for (let len = max; len > 0; len--) {\n    if (buffer.endsWith(tag.slice(0, len))) return len;\n  }\n  return 0;\n}\n\nfunction parseToolCallJson(json: string, newCallId: () => string): ToolCall | null {\n  try {\n    const parsed = JSON.parse(json);\n    const name = parsed?.name || parsed?.tool || parsed?.function?.name;\n    if (typeof name !== \"string\" || !name) return null;\n\n    let args = parsed.arguments ?? parsed.args ?? parsed.parameters ?? parsed.function?.arguments ?? {};\n    if (typeof args === \"string\") {\n      try {\n        args = JSON.parse(args);\n      } catch {\n        args = { raw: args };\n      }\n    }\n\n    return {\n      id: typeof parsed.id === \"string\" && parsed.id ? parsed.id : newCallId(),\n      name,\n      arguments: args,\n    };\n  } catch {\n    return null;\n  }\n}\n\n/**\n * Extracts <tool_call>{...}</tool_call> blocks from a (possibly fragmented)\n * text stream. Block contents are never emitted as visible text; text outside\n * blocks passes through unchanged.\n */\nclass TextToolCallParser {\n  private buffer = \"\";\n  private insideBlock = false;\n\n  constructor(private newCallId: () => string) {}\n\n  push(text: string): { text: string; toolCalls: ToolCall[] } {\n    this.buffer += text;\n\n    const outText: string[] = [];\n    const calls: ToolCall[] = [];\n    let progressed = true;\n\n    while (progressed) {\n      progressed = false;\n\n      if (!this.insideBlock) {\n        const open = this.buffer.indexOf(TOOL_CALL_OPEN);\n        if (open !== -1) {\n          outText.push(this.buffer.slice(0, open));\n          this.buffer = this.buffer.slice(open + TOOL_CALL_OPEN.length);\n          this.insideBlock = true;\n          progressed = true;\n        } else {\n          const hold = partialTagSuffixLength(this.buffer, TOOL_CALL_OPEN);\n          if (hold < this.buffer.length) {\n            outText.push(this.buffer.slice(0, this.buffer.length - hold));\n            this.buffer = this.buffer.slice(this.buffer.length - hold);\n          }\n        }\n      } else {\n        const close = this.buffer.indexOf(TOOL_CALL_CLOSE);\n        if (close !== -1) {\n          const block = this.buffer.slice(0, close);\n          this.buffer = this.buffer.slice(close + TOOL_CALL_CLOSE.length);\n          this.insideBlock = false;\n          const call = parseToolCallJson(block, this.newCallId);\n          if (call) {\n            calls.push(call);\n          } else {\n            outText.push(`${TOOL_CALL_OPEN}${block}${TOOL_CALL_CLOSE}`);\n          }\n          progressed = true;\n        }\n      }\n    }\n\n    return { text: outText.join(\"\"), toolCalls: calls };\n  }\n\n  /**\n   * Also recognize the model-native tool tag format some LLMs default to,\n   * e.g. <write_file path=\"src/App.tsx\">...content...</write_file>.\n   * Also accepts the HTML-entity-escaped form (&lt;write_file ...&gt;) that\n   * some models emit when prompted to avoid HTML. Translates all of these\n   * into real tool calls.\n   */\n  consumeNativeTags(text: string): { text: string; toolCalls: ToolCall[] } {\n    const out: string[] = [];\n    const calls: ToolCall[] = [];\n\n    // Decode common HTML entities so escaped tags like &lt;write_file ...&gt;\n    // become real tags before matching.\n    const decoded = text\n      .replace(/&lt;/g, \"<\")\n      .replace(/&gt;/g, \">\")\n      .replace(/&amp;/g, \"&\")\n      .replace(/&quot;/g, '\"');\n\n    const nextCall = () => this.newCallId();\n\n    // <write_file path=\"...\">...</write_file>\n    {\n      const re = /<write_file\\s+path=\"([^\"]+)\">([\\s\\S]*?)<\\/write_file>/g;\n      let last = 0;\n      let m: RegExpExecArray | null;\n      while ((m = re.exec(decoded)) !== null) {\n        const [full, path, content] = m;\n        out.push(decoded.slice(last, m.index));\n        calls.push({\n          id: nextCall(),\n          name: \"write\",\n          arguments: { filePath: path, content: content },\n        });\n        last = m.index + full.length;\n      }\n      out.push(decoded.slice(last));\n    }\n\n    // <read_file path=\"...\"/>\n    {\n      const text2 = out.join(\"\");\n      const re = /<read_file\\s+path=\"([^\"]+)\"\\s*\\/>/g;\n      let last = 0;\n      let m: RegExpExecArray | null;\n      const replaced: string[] = [];\n      while ((m = re.exec(text2)) !== null) {\n        const [full, path] = m;\n        replaced.push(text2.slice(last, m.index));\n        calls.push({\n          id: nextCall(),\n          name: \"read\",\n          arguments: { filePath: path },\n        });\n        last = m.index + full.length;\n      }\n      replaced.push(text2.slice(last));\n      out.length = 0;\n      out.push(replaced.join(\"\"));\n    }\n\n    // <run_command>cmd</run_command>\n    {\n      const text2 = out.join(\"\");\n      const re = /<run_command>([\\s\\S]*?)<\\/run_command>/g;\n      let last = 0;\n      let m: RegExpExecArray | null;\n      const replaced: string[] = [];\n      while ((m = re.exec(text2)) !== null) {\n        const [full, cmd] = m;\n        replaced.push(text2.slice(last, m.index));\n        calls.push({\n          id: nextCall(),\n          name: \"bash\",\n          arguments: { command: cmd.trim() },\n        });\n        last = m.index + full.length;\n      }\n      replaced.push(text2.slice(last));\n      out.length = 0;\n      out.push(replaced.join(\"\"));\n    }\n\n    return { text: out.join(\"\"), toolCalls: calls };\n  }\n\n  end(): { text: string; toolCalls: ToolCall[] } {\n    let text = this.buffer;\n    const calls: ToolCall[] = [];\n\n    if (this.insideBlock) {\n      const call = parseToolCallJson(text, this.newCallId);\n      if (call) {\n        calls.push(call);\n        text = \"\";\n      } else {\n        text = TOOL_CALL_OPEN + text;\n      }\n    }\n\n    this.buffer = \"\";\n    this.insideBlock = false;\n    return { text, toolCalls: calls };\n  }\n}\n\nexport class LLMProviderManager {\n  private providers: Map<string, any> = new Map();\n  private coderoApiKey: string = \"\";\n  private coderoUrl: string;\n  private toolCallCounter = 0;\n\n  constructor() {\n    this.initializeProviders();\n\n    const bravecodeProvider = modelsConfig.providers.bravecode as { baseURL: string; chatEndpoint?: string };\n    this.coderoUrl =\n      process.env.BRAVECODE_BASE_URL ||\n      bravecodeProvider.baseURL + (bravecodeProvider.chatEndpoint || \"/chat\");\n  }\n\n  private initializeProviders(): void {\n    const providers = modelsConfig.providers as Record<string, { baseURL: string; envKey: string }>;\n\n    this.coderoApiKey = process.env.BRAVECODE_API_KEY || \"\";\n\n    for (const [providerId, config] of Object.entries(providers)) {\n      if (providerId === \"bravecode\") {\n        this.providers.set(\n          providerId,\n          createOpenAICompatible({\n            name: \"bravecode\",\n            apiKey: this.coderoApiKey,\n            baseURL: config.baseURL,\n          })\n        );\n      } else if (providerId === \"mistral\") {\n        this.providers.set(\n          providerId,\n          createMistral({\n            apiKey: process.env.MISTRAL_API_KEY || \"\",\n            baseURL: config.baseURL,\n          })\n        );\n      } else {\n        this.providers.set(\n          providerId,\n          createOpenAICompatible({\n            name: providerId,\n            apiKey: process.env[config.envKey] || \"\",\n            baseURL: config.baseURL,\n          })\n        );\n      }\n    }\n  }\n\n  private getModelProvider(modelConfig: ModelConfig): any {\n    const provider = this.providers.get(modelConfig.provider);\n    if (!provider) {\n      throw new Error(`Provider ${modelConfig.provider} not found`);\n    }\n    return provider;\n  }\n\n  private nextToolCallId(): string {\n    this.toolCallCounter += 1;\n    return `call_${Date.now().toString(36)}_${this.toolCallCounter}`;\n  }\n\n  /**\n   * Normalizes tool calls from any wire shape (AI SDK v7 {toolCallId, toolName,\n   * input}, OpenAI {id, function: {name, arguments}}, or loose {name, arguments})\n   * into the internal ToolCall shape with parsed arguments.\n   */\n  private normalizeToolCall(raw: any): ToolCall {\n    const id = raw?.toolCallId || raw?.id || this.nextToolCallId();\n\n    if (raw?.toolName) {\n      return { id, name: raw.toolName, arguments: raw.input ?? {} };\n    }\n\n    if (raw?.function?.name) {\n      let args = raw.function.arguments;\n      if (typeof args === \"string\") {\n        try {\n          args = JSON.parse(args);\n        } catch {\n          args = { raw: args };\n        }\n      }\n      return { id, name: raw.function.name, arguments: args ?? {} };\n    }\n\n    if (raw?.name) {\n      let args = raw.arguments ?? raw.args ?? {};\n      if (typeof args === \"string\") {\n        try {\n          args = JSON.parse(args);\n        } catch {\n          args = { raw: args };\n        }\n      }\n      return { id, name: raw.name, arguments: args ?? {} };\n    }\n\n    return { id: this.nextToolCallId(), name: \"unknown\", arguments: {} };\n  }\n\n  private toAITools(tools?: ToolDefinition[]): Record<string, any> | undefined {\n    if (!tools || tools.length === 0) return undefined;\n\n    const toolSet: Record<string, any> = {};\n    for (const t of tools) {\n      toolSet[t.function.name] = {\n        description: t.function.description,\n        parameters: jsonSchema(t.function.parameters ?? { type: \"object\", properties: {} }),\n      };\n    }\n    return toolSet;\n  }\n\n  private mapMessages(messages: Message[]): any[] {\n    return messages.map((m) => {\n      if (m.role === \"tool\") {\n        return {\n          role: \"tool\" as const,\n          content: [\n            {\n              type: \"tool-result\" as const,\n              toolCallId: m.toolCallId || \"\",\n              toolName: m.name || \"tool\",\n              output: { type: \"text\" as const, value: m.content },\n            },\n          ],\n        };\n      }\n\n      if (m.role === \"assistant\" && m.toolCalls?.length) {\n        const content: any[] = [];\n        if (m.content) {\n          content.push({ type: \"text\" as const, text: m.content });\n        }\n        for (const tc of m.toolCalls) {\n          content.push({\n            type: \"tool-call\" as const,\n            toolCallId: tc.id,\n            toolName: tc.name,\n            input: tc.arguments,\n          });\n        }\n        return { role: \"assistant\" as const, content };\n      }\n\n      return {\n        role: m.role as \"system\" | \"user\",\n        content: m.content,\n      };\n    });\n  }\n\n  async chat(params: ChatParams, modelConfig?: ModelConfig): Promise<ChatResponse> {\n    const config = modelConfig || this.getModelConfigById(params.model);\n    if (!config) {\n      throw new Error(`Model ${params.model} not found`);\n    }\n\n    if (config.provider === \"bravecode\") {\n      return this.coderoChat(params);\n    }\n\n    const provider = this.getModelProvider(config);\n\n    try {\n      const result = await generateText({\n        model: provider(config.id),\n        messages: this.mapMessages(params.messages),\n        tools: this.toAITools(params.tools),\n        temperature: params.temperature ?? 0.7,\n        maxOutputTokens: params.maxTokens ?? config.maxOutputTokens,\n        abortSignal: params.signal,\n      });\n\n      return {\n        text: result.text,\n        toolCalls: (result.toolCalls || []).map((c) => this.normalizeToolCall(c)),\n        finishReason: result.finishReason as \"stop\" | \"tool_calls\" | \"length\",\n        usage: {\n          input: result.usage.inputTokens ?? 0,\n          output: result.usage.outputTokens ?? 0,\n        },\n      };\n    } catch (error) {\n      logError(\"Chat error:\", error);\n      throw error;\n    }\n  }\n\n  async *chatStream(\n    params: ChatParams,\n    modelConfig?: ModelConfig\n  ): AsyncIterable<StreamChunk> {\n    const config = modelConfig || this.getModelConfigById(params.model);\n    if (!config) {\n      throw new Error(`Model ${params.model} not found`);\n    }\n\n    if (config.provider === \"bravecode\") {\n      yield* this.coderoChatStream(params);\n      return;\n    }\n\n    const provider = this.getModelProvider(config);\n\n    try {\n      const stream = streamText({\n        model: provider(config.id),\n        messages: this.mapMessages(params.messages),\n        tools: this.toAITools(params.tools),\n        temperature: params.temperature ?? 0.7,\n        maxOutputTokens: params.maxTokens ?? config.maxOutputTokens,\n        abortSignal: params.signal,\n      });\n\n      for await (const part of stream.fullStream) {\n        if (part.type === \"text-delta\") {\n          if (part.text) {\n            yield { type: \"text\", text: part.text };\n          }\n        } else if (part.type === \"tool-call\") {\n          yield { type: \"tool_call\", toolCall: this.normalizeToolCall(part) };\n        } else if (part.type === \"error\") {\n          throw (part as any).error ?? new Error(\"Stream error\");\n        }\n      }\n\n      yield { type: \"finish\", finishReason: \"stop\" };\n    } catch (error) {\n      logError(\"Stream error:\", error);\n      throw error;\n    }\n  }\n\n  /**\n   * Renders the text-embedded tool protocol used by the Codero endpoint,\n   * which has no native function-calling wire format.\n   */\n  private renderToolInstructions(tools: ToolDefinition[]): string {\n    const toolLines = tools.map((t) => {\n      const params =\n        t.function.parameters && Object.keys(t.function.parameters).length\n          ? JSON.stringify(t.function.parameters)\n          : '{\"type\":\"object\",\"properties\":{}}';\n      return `- ${t.function.name}: ${t.function.description}\\n  Arguments schema: ${params}`;\n    });\n\n    return [\n      \"# Tool Calling \u2014 MANDATORY\",\n      \"\",\n      \"To create, read, edit, search, or run anything, you MUST emit a tool call block. Do not describe actions in prose; do not output code blocks in lieu of tool calls. Files are only created/modified when you use a tool.\",\n      \"\",\n      \"Emit a block in EXACTLY this format:\",\n      \"\",\n      \"<tool_call>\",\n      '{\"name\": \"<tool-name>\", \"arguments\": {<json-args>}}',\n      \"</tool_call>\",\n      \"\",\n      \"Rules:\",\n      '- The text inside <tool_call> tags must be valid JSON with a \"name\" and an \"arguments\" object.',\n      \"- You may emit multiple <tool_call> blocks if needed, then STOP and wait for results.\",\n      \"- Tool results arrive in a later user message prefixed with '[Tool result for <tool-name>]'. Never invent results.\",\n      \"- After receiving results, either call another tool or give a brief final answer.\",\n      \"\",\n      \"Example:\",\n      \"<tool_call>\",\n      '{\"name\": \"write\", \"arguments\": {\"path\": \"src/foo.ts\", \"content\": \"export const x = 1;\\\\n\"}}',\n      \"</tool_call>\",\n      \"\",\n      \"## Available tools\",\n      ...toolLines,\n    ].join(\"\\n\");\n  }\n\n  /**\n   * Serializes the conversation for the Codero endpoint, which only reliably\n   * accepts system/user/assistant text messages. Assistant tool calls are\n   * rendered back as <tool_call> blocks; tool results are flattened into\n   * user messages.\n   */\n  private coderoMessages(\n    messages: Message[],\n    tools?: ToolDefinition[]\n  ): { system?: string; conversation: any[] } {\n    const systemParts: string[] = [];\n    const conversation: any[] = [];\n\n    for (const m of messages) {\n      if (m.role === \"system\") {\n        systemParts.push(m.content);\n        continue;\n      }\n\n      if (m.role === \"assistant\" && m.toolCalls?.length) {\n        let content = m.content || \"\";\n        for (const tc of m.toolCalls) {\n          content += `\\n<tool_call>\\n${JSON.stringify({ name: tc.name, arguments: tc.arguments })}\\n</tool_call>`;\n        }\n        conversation.push({ role: \"assistant\", content });\n        continue;\n      }\n\n      if (m.role === \"tool\") {\n        conversation.push({\n          role: \"user\",\n          content: `[Tool result for ${m.name || \"tool\"}]\\n${m.content}`,\n        });\n        continue;\n      }\n\n      conversation.push({ role: m.role, content: m.content });\n    }\n\n    let system = systemParts.join(\"\\n\\n\") || undefined;\n    if (tools?.length) {\n      const instructions = this.renderToolInstructions(tools);\n      system = system ? `${system}\\n\\n${instructions}` : instructions;\n    }\n\n    return { system, conversation };\n  }\n\n  private async *coderoChatStream(params: ChatParams): AsyncIterable<StreamChunk> {\n    const { system, conversation } = this.coderoMessages(params.messages, params.tools);\n\n    const payload: any = {\n      model: params.model,\n      messages: conversation,\n      stream: true,\n    };\n\n    if (system) {\n      payload.system = system;\n    }\n\n    if (params.temperature !== undefined) {\n      payload.temperature = params.temperature;\n    }\n\n    const parser = new TextToolCallParser(() => this.nextToolCallId());\n\n    const maxRetries = 2;\n    let lastError: Error | null = null;\n\n    for (let attempt = 0; attempt <= maxRetries; attempt++) {\n      try {\n        const controller = new AbortController();\n        const timeoutId = setTimeout(() => controller.abort(), 30000);\n\n        if (params.signal) {\n          params.signal.addEventListener('abort', () => controller.abort());\n        }\n\n        const response = await fetch(this.coderoUrl, {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/json\",\n            \"User-Agent\": \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36\",\n            ...(this.coderoApiKey ? { Authorization: `Bearer ${this.coderoApiKey}` } : {}),\n          },\n          body: JSON.stringify(payload),\n          signal: controller.signal,\n        });\n\n        clearTimeout(timeoutId);\n\n        if (!response.ok) {\n          throw new Error(`BraveCode API error: ${response.status}`);\n        }\n\n        const reader = response.body?.getReader();\n        if (!reader) {\n          throw new Error(\"No response body\");\n        }\n\n        const decoder = new TextDecoder();\n        let lineBuffer = \"\";\n        let sawDone = false;\n\n        while (!sawDone) {\n          if (params.signal?.aborted) break;\n\n          const { done, value } = await reader.read();\n          if (done) break;\n\n          lineBuffer += decoder.decode(value, { stream: true });\n          const lines = lineBuffer.split(\"\\n\");\n          lineBuffer = lines.pop() || \"\";\n\n          for (const line of lines) {\n            const trimmed = line.trim();\n            if (!trimmed) continue;\n\n            let delta: CoderoStreamDelta | null = null;\n            try {\n              delta = JSON.parse(trimmed) as CoderoStreamDelta;\n            } catch {\n              delta = null;\n            }\n\n            const rawText = delta?.delta || delta?.chunk || \"\";\n            if (rawText) {\n              const { text, toolCalls } = parser.push(rawText);\n              if (text) {\n                // Also try to extract any completed <write_file> tags from\n                // the chunk so the model-native tool format works too.\n                const native = parser.consumeNativeTags(text);\n                if (native.text) {\n                  yield { type: \"text\", text: native.text };\n                }\n                for (const call of native.toolCalls) {\n                  yield { type: \"tool_call\", toolCall: call };\n                }\n              }\n              for (const call of toolCalls) {\n                yield { type: \"tool_call\", toolCall: call };\n              }\n            } else {\n              // Even with no rawText, the model might be mid-streaming a\n              // <write_file> tag across chunk boundaries \u2014 flush the parser\n              // to catch any completed tags.\n              const flush = parser.end();\n              if (flush.text) yield { type: \"text\", text: flush.text };\n              for (const call of flush.toolCalls) {\n                yield { type: \"tool_call\", toolCall: call };\n              }\n            }\n\n            if (delta && (delta.done || delta.type === \"done\")) {\n              sawDone = true;\n              break;\n            }\n          }\n        }\n\n        const tail = parser.end();\n        if (tail.text) {\n          const native = parser.consumeNativeTags(tail.text);\n          if (native.text) {\n            yield { type: \"text\", text: native.text };\n          }\n          for (const call of native.toolCalls) {\n            yield { type: \"tool_call\", toolCall: call };\n          }\n        }\n        for (const call of tail.toolCalls) {\n          yield { type: \"tool_call\", toolCall: call };\n        }\n\n        yield { type: \"finish\", finishReason: \"stop\" };\n        return; // Success, exit retry loop\n      } catch (error: any) {\n        lastError = error;\n        logError(`BraveCode stream error (attempt ${attempt + 1}/${maxRetries + 1}):`, error.message);\n\n        if (attempt < maxRetries) {\n          // Wait before retry (exponential backoff)\n          await new Promise(resolve => setTimeout(resolve, 1000 * (attempt + 1)));\n          continue;\n        }\n      }\n    }\n\n    // All retries failed\n    throw lastError || new Error(\"BraveCode API: All connection attempts failed\");\n  }\n\n  private async coderoChat(params: ChatParams): Promise<ChatResponse> {\n    let text = \"\";\n    const toolCalls: ToolCall[] = [];\n\n    for await (const chunk of this.coderoChatStream(params)) {\n      if (chunk.type === \"text\" && chunk.text) {\n        text += chunk.text;\n      } else if (chunk.type === \"tool_call\" && chunk.toolCall) {\n        toolCalls.push(chunk.toolCall);\n      }\n    }\n\n    return {\n      text,\n      toolCalls,\n      finishReason: toolCalls.length ? \"tool_calls\" : \"stop\",\n      usage: {\n        input: 0,\n        output: 0,\n      },\n    };\n  }\n\n  private getModelConfigById(modelId: string): ModelConfig | undefined {\n    return modelsConfig.models.find((m) => m.id === modelId) as ModelConfig | undefined;\n  }\n\n  getAvailableProviders(): string[] {\n    return Array.from(this.providers.keys());\n  }\n\n  isProviderConfigured(providerId: string): boolean {\n    const provider = modelsConfig.providers[providerId as keyof typeof modelsConfig.providers];\n    if (!provider) return false;\n    if (providerId === \"bravecode\") {\n      return true;\n    }\n    return !!process.env[provider.envKey];\n  }\n}\n", "import { execSync } from \"child_process\";\n\nexport interface Tool {\n  name: string;\n  description: string;\n  parameters: any;\n  execute(input: any): Promise<string>;\n}\n\nexport const bashTool: Tool = {\n  name: \"bash\",\n  description: \"Execute a shell command in the project environment.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      command: { type: \"string\", description: \"The bash command to execute\" },\n      workdir: { type: \"string\", description: \"Working directory (optional)\" },\n    },\n    required: [\"command\"],\n  },\n  async execute(input) {\n    const { command, workdir } = input;\n    try {\n      const result = execSync(command, {\n        cwd: workdir || process.cwd(),\n        encoding: \"utf-8\",\n        timeout: 120000,\n        stdio: [\"pipe\", \"pipe\", \"pipe\"],\n      });\n      return result || \"Command executed successfully (no output)\";\n    } catch (error: any) {\n      return `Error: ${error.message}\\n${error.stderr || \"\"}`;\n    }\n  },\n};\n", "import { readFileSync, writeFileSync, existsSync, mkdirSync } from \"fs\";\nimport { dirname, isAbsolute, resolve } from \"path\";\nimport type { Tool } from \"./bash\";\n\nexport const readTool: Tool = {\n  name: \"read\",\n  description: \"Read a file from the local filesystem. Accepts absolute or relative paths (relative to the current working directory).\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      filePath: { type: \"string\", description: \"The path to the file (absolute or relative)\" },\n    },\n    required: [\"filePath\"],\n  },\n  async execute(input) {\n    const { filePath } = input;\n    const absPath = isAbsolute(filePath) ? filePath : resolve(process.cwd(), filePath);\n    if (!existsSync(absPath)) {\n      return `Error: File not found: ${absPath}`;\n    }\n    try {\n      const content = readFileSync(absPath, \"utf-8\");\n      return content;\n    } catch (error: any) {\n      return `Error reading file: ${error.message}`;\n    }\n  },\n};\n\nexport const writeTool: Tool = {\n  name: \"write\",\n  description: \"Write a file. USE A RELATIVE PATH inside a project directory you create (e.g. my-app/src/index.tsx). Absolute paths like /full/system/path/... are forbidden. Parent directories are created automatically.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      filePath: { type: \"string\", description: \"A RELATIVE path inside the project directory (e.g. my-app/src/index.tsx). Parent directories are created automatically.\" },\n      content: { type: \"string\", description: \"The content to write\" },\n    },\n    required: [\"filePath\", \"content\"],\n  },\n  async execute(input) {\n    const { filePath, content } = input;\n    const absPath = isAbsolute(filePath) ? filePath : resolve(process.cwd(), filePath);\n    try {\n      mkdirSync(dirname(absPath), { recursive: true });\n      writeFileSync(absPath, content, \"utf-8\");\n      return `File written successfully: ${absPath}`;\n    } catch (error: any) {\n      return `Error writing file: ${error.message}`;\n    }\n  },\n};\n\nexport const editTool: Tool = {\n  name: \"edit\",\n  description: \"Perform exact string replacements in files. Accepts absolute or relative paths (relative to the current working directory).\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      filePath: { type: \"string\", description: \"The path to the file (absolute or relative to the current working directory)\" },\n      oldString: { type: \"string\", description: \"Text to find\" },\n      newString: { type: \"string\", description: \"Replacement text\" },\n    },\n    required: [\"filePath\", \"oldString\", \"newString\"],\n  },\n  async execute(input) {\n    const { filePath, oldString, newString } = input;\n    const absPath = isAbsolute(filePath) ? filePath : resolve(process.cwd(), filePath);\n    if (!existsSync(absPath)) {\n      return `Error: File not found: ${absPath}`;\n    }\n    try {\n      const content = readFileSync(absPath, \"utf-8\");\n      if (!content.includes(oldString)) {\n        return \"Error: oldString not found in file.\";\n      }\n      const updated = content.replace(oldString, newString);\n      mkdirSync(dirname(absPath), { recursive: true });\n      writeFileSync(absPath, updated, \"utf-8\");\n      return \"Edit applied successfully.\";\n    } catch (error: any) {\n      return `Error editing file: ${error.message}`;\n    }\n  },\n};\n", "import { readdirSync, readFileSync, statSync } from \"fs\";\nimport { join, relative } from \"path\";\nimport type { Tool } from \"./bash\";\n\nfunction grepDir(dir: string, pattern: string, include?: string, results: string[] = []): string[] {\n  try {\n    const entries = readdirSync(dir, { withFileTypes: true });\n    const regex = new RegExp(pattern, \"i\");\n\n    for (const entry of entries) {\n      const fullPath = join(dir, entry.name);\n\n      if (entry.isDirectory()) {\n        if (!entry.name.startsWith(\".\") && entry.name !== \"node_modules\") {\n          grepDir(fullPath, pattern, include, results);\n        }\n      } else if (entry.isFile()) {\n        if (include && !entry.name.match(include.replace(\"*\", \".*\"))) {\n          continue;\n        }\n\n        try {\n          const content = readFileSync(fullPath, \"utf-8\");\n          const lines = content.split(\"\\n\");\n          for (let i = 0; i < lines.length; i++) {\n            if (regex.test(lines[i])) {\n              results.push(`${fullPath}:${i + 1}: ${lines[i].trim()}`);\n            }\n          }\n        } catch {\n          // Intentionally skip unreadable files\n        }\n      }\n    }\n  } catch {\n    // Intentionally ignore read errors and return partial results\n  }\n\n  return results;\n}\n\nexport const grepTool: Tool = {\n  name: \"grep\",\n  description: \"Search file contents using regex patterns.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      pattern: { type: \"string\", description: \"Regex pattern to search for\" },\n      path: { type: \"string\", description: \"Directory to search in (default: current)\" },\n      include: { type: \"string\", description: \"File pattern to include (e.g. *.ts)\" },\n    },\n    required: [\"pattern\"],\n  },\n  async execute(input) {\n    const { pattern, path = \".\", include } = input;\n    try {\n      const results = grepDir(path, pattern, include);\n      if (results.length === 0) {\n        return \"No matches found\";\n      }\n      return results.slice(0, 100).join(\"\\n\");\n    } catch (error: any) {\n      return `Error: ${error.message}`;\n    }\n  },\n};\n\nfunction globDir(dir: string, pattern: string, results: string[] = []): string[] {\n  try {\n    const entries = readdirSync(dir, { withFileTypes: true });\n    const regex = new RegExp(\n      \"^\" + pattern.replace(/\\*\\*/g, \".*\").replace(/\\*/g, \"[^/]*\").replace(/\\?/g, \"[^/]\") + \"$\"\n    );\n\n    for (const entry of entries) {\n      const fullPath = join(dir, entry.name);\n      const relPath = relative(\".\", fullPath);\n\n      if (entry.isDirectory()) {\n        if (!entry.name.startsWith(\".\") && entry.name !== \"node_modules\") {\n          globDir(fullPath, pattern, results);\n        }\n      } else if (entry.isFile()) {\n        if (regex.test(relPath) || regex.test(entry.name)) {\n          results.push(relPath);\n        }\n      }\n    }\n  } catch {\n    // Intentionally ignore read errors and return partial results\n  }\n\n  return results;\n}\n\nexport const globTool: Tool = {\n  name: \"glob\",\n  description: \"Find files by pattern matching.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      pattern: { type: \"string\", description: \"Glob pattern (e.g. src/**/*.ts)\" },\n      path: { type: \"string\", description: \"Directory to search in (default: current)\" },\n    },\n    required: [\"pattern\"],\n  },\n  async execute(input) {\n    const { pattern, path = \".\" } = input;\n    try {\n      const results = globDir(path, pattern);\n      if (results.length === 0) {\n        return \"No files found\";\n      }\n      return results.slice(0, 100).join(\"\\n\");\n    } catch (error: any) {\n      return `Error: ${error.message}`;\n    }\n  },\n};\n", "import { execSync } from \"child_process\";\nimport type { Tool } from \"./bash\";\n\nexport const browserTool: Tool = {\n  name: \"browser\",\n  description: \"Open a URL in the default web browser.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      url: { type: \"string\", description: \"The URL to open in the browser\" },\n    },\n    required: [\"url\"],\n  },\n  async execute(input) {\n    const { url } = input;\n\n    if (!url.startsWith(\"http://\") && !url.startsWith(\"https://\")) {\n      return \"Error: URL must start with http:// or https://\";\n    }\n\n    try {\n      let command: string;\n      const platform = process.platform;\n\n      if (platform === \"darwin\") {\n        command = `open \"${url}\"`;\n      } else if (platform === \"win32\") {\n        command = `start \"\" \"${url}\"`;\n      } else {\n        command = `xdg-open \"${url}\" 2>/dev/null || sensible-browser \"${url}\" 2>/dev/null || x-www-browser \"${url}\" 2>/dev/null`;\n      }\n\n      execSync(command, { stdio: \"ignore\" });\n      return `Opened ${url} in browser`;\n    } catch (error: any) {\n      return `Error opening URL: ${error.message}. You can manually open: ${url}`;\n    }\n  },\n};\n\nexport const webfetchTool: Tool = {\n  name: \"webfetch\",\n  description: \"Fetch content from a URL and return the response.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      url: { type: \"string\", description: \"The URL to fetch\" },\n      method: { type: \"string\", description: \"HTTP method (GET, POST, etc.)\", enum: [\"GET\", \"POST\", \"PUT\", \"DELETE\", \"PATCH\"] },\n      headers: { type: \"object\", description: \"HTTP headers as key-value pairs\" },\n      body: { type: \"string\", description: \"Request body for POST/PUT/PATCH\" },\n    },\n    required: [\"url\"],\n  },\n  async execute(input) {\n    const { url, method = \"GET\", headers = {}, body } = input;\n\n    try {\n      const response = await fetch(url, {\n        method,\n        headers: {\n          \"User-Agent\": \"BraveCode-AI/1.0\",\n          ...headers,\n        },\n        body: body ? body : undefined,\n      });\n\n      const contentType = response.headers.get(\"content-type\") || \"\";\n      let content: string;\n\n      if (contentType.includes(\"application/json\")) {\n        const json = await response.json();\n        content = JSON.stringify(json, null, 2);\n      } else {\n        content = await response.text();\n      }\n\n      const truncated = content.length > 5000 ? content.substring(0, 5000) + \"\\n... (truncated)\" : content;\n\n      return `Status: ${response.status} ${response.statusText}\\n\\n${truncated}`;\n    } catch (error: any) {\n      return `Error fetching URL: ${error.message}`;\n    }\n  },\n};\n\nexport const curlTool: Tool = {\n  name: \"curl\",\n  description: \"Make HTTP requests using fetch API (cross-platform).\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      url: { type: \"string\", description: \"The URL to request\" },\n      method: { type: \"string\", description: \"HTTP method\", enum: [\"GET\", \"POST\", \"PUT\", \"DELETE\", \"PATCH\"] },\n      headers: { type: \"object\", description: \"Headers as key-value pairs\" },\n      body: { type: \"string\", description: \"Request body\" },\n    },\n    required: [\"url\"],\n  },\n  async execute(input) {\n    const { url, method = \"GET\", headers = {}, body } = input;\n\n    try {\n      const response = await fetch(url, {\n        method,\n        headers: {\n          \"User-Agent\": \"BraveCode-AI/1.0\",\n          ...headers,\n        },\n        body: body ? body : undefined,\n      });\n\n      let content: string;\n      const contentType = response.headers.get(\"content-type\") || \"\";\n\n      if (contentType.includes(\"application/json\")) {\n        const json = await response.json();\n        content = JSON.stringify(json, null, 2);\n      } else {\n        content = await response.text();\n      }\n\n      const truncated = content.length > 5000 ? content.substring(0, 5000) + \"\\n... (truncated)\" : content;\n      return `Status: ${response.status}\\n\\n${truncated || \"Request completed (no response body)\"}`;\n    } catch (error: any) {\n      return `Error: ${error.message}`;\n    }\n  },\n};\n", "import type { Tool } from \"./bash\";\n\ninterface TodoItem {\n  id: string;\n  content: string;\n  status: \"pending\" | \"in_progress\" | \"completed\";\n  priority: \"high\" | \"medium\" | \"low\";\n}\n\nlet todoList: TodoItem[] = [];\n\nexport const todowriteTool: Tool = {\n  name: \"todowrite\",\n  description: \"Create and manage a task list for tracking work progress.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      action: {\n        type: \"string\",\n        enum: [\"create\", \"update\", \"list\", \"clear\"],\n        description: \"Action to perform\",\n      },\n      todos: {\n        type: \"array\",\n        items: {\n          type: \"object\",\n          properties: {\n            content: { type: \"string\", description: \"Task description\" },\n            status: { type: \"string\", enum: [\"pending\", \"in_progress\", \"completed\"] },\n            priority: { type: \"string\", enum: [\"high\", \"medium\", \"low\"] },\n          },\n        },\n        description: \"Array of todo items\",\n      },\n      id: { type: \"string\", description: \"Todo item ID to update\" },\n      status: { type: \"string\", enum: [\"pending\", \"in_progress\", \"completed\"], description: \"New status\" },\n    },\n    required: [\"action\"],\n  },\n  async execute(input) {\n    const { action, todos, id, status } = input;\n\n    switch (action) {\n      case \"create\":\n        if (todos && Array.isArray(todos)) {\n          todoList = todos.map((t: any, i: number) => ({\n            id: `todo-${Date.now()}-${i}`,\n            content: t.content,\n            status: t.status || \"pending\",\n            priority: t.priority || \"medium\",\n          }));\n          return `Created ${todoList.length} tasks:\\n${formatTodoList(todoList)}`;\n        }\n        return \"Error: todos array required for create action\";\n\n      case \"update\":\n        if (id && status) {\n          const item = todoList.find((t) => t.id === id);\n          if (item) {\n            item.status = status as TodoItem[\"status\"];\n            return `Updated task ${id} to ${status}:\\n${formatTodoList(todoList)}`;\n          }\n          return `Error: Task ${id} not found`;\n        }\n        return \"Error: id and status required for update action\";\n\n      case \"list\":\n        return todoList.length > 0\n          ? `Current tasks:\\n${formatTodoList(todoList)}`\n          : \"No tasks in list\";\n\n      case \"clear\":\n        todoList = [];\n        return \"Task list cleared\";\n\n      default:\n        return `Unknown action: ${action}`;\n    }\n  },\n};\n\nfunction formatTodoList(todos: TodoItem[]): string {\n  return todos\n    .map((t) => {\n      const icon = t.status === \"completed\" ? \"\u2705\" : t.status === \"in_progress\" ? \"\uD83D\uDD04\" : \"\u23F3\";\n      const priority = t.priority === \"high\" ? \"\uD83D\uDD34\" : t.priority === \"medium\" ? \"\uD83D\uDFE1\" : \"\uD83D\uDFE2\";\n      return `  ${icon} ${priority} [${t.id}] ${t.content}`;\n    })\n    .join(\"\\n\");\n}\n", "import type { Tool } from \"./bash\";\n\nexport const websearchTool: Tool = {\n  name: \"websearch\",\n  description: \"Search the web using a search engine.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      query: { type: \"string\", description: \"Search query\" },\n      numResults: { type: \"number\", description: \"Number of results to return (default: 5)\" },\n    },\n    required: [\"query\"],\n  },\n  async execute(input) {\n    const { query, numResults = 5 } = input;\n\n    try {\n      const searchUrl = `https://html.duckduckgo.com/html/?q=${encodeURIComponent(query)}`;\n\n      const response = await fetch(searchUrl, {\n        headers: {\n          \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36\",\n        },\n      });\n\n      const html = await response.text();\n\n      const linkRegex = /<a[^>]*class=\"result__a\"[^>]*>(.*?)<\\/a>/g;\n      const results: string[] = [];\n      let match;\n\n      while ((match = linkRegex.exec(html)) !== null && results.length < numResults) {\n        const text = match[1].replace(/<[^>]*>/g, \"\").trim();\n        if (text) {\n          results.push(text);\n        }\n      }\n\n      if (results.length > 0) {\n        return `Search results for \"${query}\":\\n\\n${results.map((r, i) => `${i + 1}. ${r}`).join(\"\\n\")}`;\n      }\n\n      const abstractRegex = /\"Abstract\":\"(.*?)\"/;\n      const abstractMatch = html.match(abstractRegex);\n\n      if (abstractMatch && abstractMatch[1]) {\n        return `Search results for \"${query}\":\\n\\n${abstractMatch[1]}`;\n      }\n\n      return `No results found for \"${query}\". Try a different search query.`;\n    } catch (error: any) {\n      return `Search error: ${error.message}. Try using webfetch to access a specific URL.`;\n    }\n  },\n};\n", "import type { Tool } from \"./bash\";\n\nexport interface SubagentConfig {\n  id: string;\n  description: string;\n}\n\nexport const availableSubagents: SubagentConfig[] = [\n  { id: \"build\", description: \"Full access to tools for development work\" },\n  { id: \"plan\", description: \"Read-only analysis and planning\" },\n  { id: \"debug\", description: \"Specialized in debugging and troubleshooting issues\" },\n  { id: \"testing\", description: \"Specialized in writing and running tests\" },\n  { id: \"security\", description: \"Vulnerability assessment and penetration testing\" },\n  { id: \"api-security\", description: \"API vulnerability assessment and penetration testing\" },\n];\n\nlet agentCallback: ((agentId: string, prompt: string) => Promise<string>) | null = null;\n\nexport function setAgentCallback(callback: (agentId: string, prompt: string) => Promise<string>): void {\n  agentCallback = callback;\n}\n\nexport const taskTool: Tool = {\n  name: \"task\",\n  description: \"Delegate a task to a specialized subagent. Each agent has different strengths.\",\n  parameters: {\n    type: \"object\",\n    properties: {\n      agentId: {\n        type: \"string\",\n        enum: availableSubagents.map((a) => a.id),\n        description: \"The agent to delegate to\",\n      },\n      prompt: {\n        type: \"string\",\n        description: \"The task description for the subagent\",\n      },\n      description: {\n        type: \"string\",\n        description: \"Short description of what this task does\",\n      },\n    },\n    required: [\"agentId\", \"prompt\", \"description\"],\n  },\n  async execute(input) {\n    const { agentId, prompt, description } = input;\n\n    if (!agentCallback) {\n      return \"Error: Subagent system not initialized. Agent callback not set.\";\n    }\n\n    const agent = availableSubagents.find((a) => a.id === agentId);\n    if (!agent) {\n      return `Error: Unknown agent '${agentId}'. Available: ${availableSubagents.map((a) => a.id).join(\", \")}`;\n    }\n\n    try {\n      console.log(`\\n  > Delegating to ${agentId} agent: ${description}`);\n      const result = await agentCallback(agentId, prompt);\n      return result;\n    } catch (error: any) {\n      return `Error delegating to ${agentId}: ${error.message}`;\n    }\n  },\n};\n", "/**\n * Single source of truth for the CLI version and product name displayed to users.\n * scripts/build.js verifies APP_VERSION matches package.json and fails the build on drift.\n */\nexport const APP_VERSION = \"0.1.56\";\nexport const APP_NAME = \"BraveCode\";\n", "import { spawn, ChildProcess } from \"child_process\";\nimport { existsSync } from \"fs\";\nimport type { Tool } from \"../tool\";\nimport { APP_VERSION } from \"../../version\";\n\nconst IS_TUI = process.env.BRAVECODE_TUI === '1';\nfunction logError(...args: unknown[]): void {\n  if (IS_TUI) return;\n  console.error(...args);\n}\nfunction logInfo(...args: unknown[]): void {\n  if (IS_TUI) return;\n  console.log(...args);\n}\n\nexport interface MCPServerConfig {\n  id: string;\n  name: string;\n  command: string;\n  args?: string[];\n  env?: Record<string, string>;\n  enabled: boolean;\n}\n\nexport interface MCPTool {\n  name: string;\n  description: string;\n  inputSchema: any;\n}\n\nexport class MCPServer {\n  private config: MCPServerConfig;\n  private process: ChildProcess | null = null;\n  private tools: MCPTool[] = [];\n  private requestId = 0;\n  private pendingRequests: Map<number, { resolve: (v: any) => void; reject: (e?: any) => void }> = new Map();\n  private initialized = false;\n\n  constructor(config: MCPServerConfig) {\n    this.config = config;\n  }\n\n  async start(): Promise<void> {\n    if (this.process) {\n      return;\n    }\n\n    const command = this.config.command;\n    const args = this.config.args || [];\n\n    if (!existsSync(command) && !command.includes(\"/\") && !command.includes(\"\\\\\")) {\n      try {\n        this.process = spawn(\"npx\", [\"-y\", command, ...args], {\n          env: { ...process.env, ...this.config.env },\n          stdio: [\"pipe\", \"pipe\", \"pipe\"],\n        });\n      } catch {\n        throw new Error(`Failed to start MCP server: ${command}`);\n      }\n    } else {\n      this.process = spawn(command, args, {\n        env: { ...process.env, ...this.config.env },\n        stdio: [\"pipe\", \"pipe\", \"pipe\"],\n      });\n    }\n\n    this.process.on(\"error\", (error) => {\n      logError(`MCP server ${this.config.id} error:`, error.message);\n    });\n\n    this.process.on(\"exit\", (code) => {\n      logInfo(`MCP server ${this.config.id} exited with code ${code}`);\n      this.process = null;\n      this.initialized = false;\n    });\n\n    this.process.stdout?.on(\"data\", (data) => {\n      this.handleMessage(data.toString());\n    });\n\n    this.process.stderr?.on(\"data\", (data) => {\n      const msg = data.toString().trim();\n      if (msg) {\n        logError(`MCP server ${this.config.id} stderr:`, msg);\n      }\n    });\n\n    await this.initialize();\n  }\n\n  private async initialize(): Promise<void> {\n    try {\n      const response = await this.sendRequest(\"initialize\", {\n        protocolVersion: \"2024-11-05\",\n        capabilities: {\n          tools: {},\n        },\n        clientInfo: {\n          name: \"bravecode-cli\",\n          version: APP_VERSION,\n        },\n      });\n\n      await this.sendRequest(\"notifications/initialized\", {});\n\n      this.initialized = true;\n\n      const toolsResponse = await this.sendRequest(\"tools/list\", {});\n      if (toolsResponse && toolsResponse.tools) {\n        this.tools = toolsResponse.tools;\n      }\n    } catch (error: any) {\n      throw new Error(`Failed to initialize MCP server: ${error.message}`);\n    }\n  }\n\n  private sendRequest(method: string, params: any): Promise<any> {\n    return new Promise((resolve, reject) => {\n      if (!this.process?.stdin) {\n        reject(new Error(\"MCP server not running\"));\n        return;\n      }\n\n      const id = ++this.requestId;\n      this.pendingRequests.set(id, { resolve, reject });\n\n      const message = JSON.stringify({\n        jsonrpc: \"2.0\",\n        id,\n        method,\n        params,\n      });\n\n      this.process.stdin.write(`${message}\\n`);\n\n      setTimeout(() => {\n        if (this.pendingRequests.has(id)) {\n          this.pendingRequests.delete(id);\n          reject(new Error(`Request timeout: ${method}`));\n        }\n      }, 30000);\n    });\n  }\n\n  private handleMessage(data: string): void {\n    const lines = data.split(\"\\n\").filter(Boolean);\n\n    for (const line of lines) {\n      try {\n        const message = JSON.parse(line);\n\n        if (message.id && this.pendingRequests.has(message.id)) {\n          const { resolve, reject } = this.pendingRequests.get(message.id)!;\n          this.pendingRequests.delete(message.id);\n\n          if (message.error) {\n            reject(new Error(message.error.message || \"Unknown error\"));\n          } else {\n            resolve(message.result);\n          }\n        }\n      } catch {\n        // Intentionally ignore malformed JSON messages\n      }\n    }\n  }\n\n  async callTool(toolName: string, args: any): Promise<string> {\n    if (!this.initialized) {\n      throw new Error(`MCP server ${this.config.id} not initialized`);\n    }\n\n    try {\n      const response = await this.sendRequest(\"tools/call\", {\n        name: toolName,\n        arguments: args,\n      });\n\n      if (response && response.content) {\n        return response.content\n          .filter((c: any) => c.type === \"text\")\n          .map((c: any) => c.text)\n          .join(\"\\n\");\n      }\n\n      return JSON.stringify(response);\n    } catch (error: any) {\n      throw new Error(`MCP tool error: ${error.message}`);\n    }\n  }\n\n  getTools(): Tool[] {\n    return this.tools.map((mcpTool) => ({\n      name: `mcp_${this.config.id}_${mcpTool.name}`,\n      description: `[MCP: ${this.config.name}] ${mcpTool.description}`,\n      parameters: mcpTool.inputSchema,\n      execute: async (args: any) => this.callTool(mcpTool.name, args),\n    }));\n  }\n\n  isRunning(): boolean {\n    return this.process !== null && this.initialized;\n  }\n\n  async stop(): Promise<void> {\n    if (this.process) {\n      this.process.kill();\n      this.process = null;\n      this.initialized = false;\n    }\n  }\n}\n", "import { existsSync, readFileSync, readdirSync } from \"fs\";\nimport { join } from \"path\";\nimport type { Tool } from \"../tool\";\n\nexport interface PluginConfig {\n  name: string;\n  version: string;\n  description: string;\n  author?: string;\n  tools?: PluginTool[];\n  hooks?: PluginHooks;\n}\n\nexport interface PluginTool {\n  name: string;\n  description: string;\n  parameters: any;\n  execute: (args: any) => Promise<string>;\n}\n\nexport interface PluginHooks {\n  beforeToolCall?: (toolName: string, args: any) => Promise<any>;\n  afterToolCall?: (toolName: string, args: any, result: string) => Promise<string>;\n  beforeAgentRun?: (agentId: string, message: string) => Promise<string>;\n  afterAgentRun?: (agentId: string, message: string, result: string) => Promise<string>;\n}\n\nexport class Plugin {\n  public config: PluginConfig;\n  private loaded = false;\n\n  constructor(config: PluginConfig) {\n    this.config = config;\n  }\n\n  async load(): Promise<void> {\n    if (this.loaded) return;\n    this.loaded = true;\n  }\n\n  getTools(): Tool[] {\n    if (!this.config.tools) return [];\n\n    return this.config.tools.map((pluginTool) => ({\n      name: `plugin_${this.config.name}_${pluginTool.name}`,\n      description: `[Plugin: ${this.config.name}] ${pluginTool.description}`,\n      parameters: pluginTool.parameters,\n      execute: pluginTool.execute,\n    }));\n  }\n\n  getHooks(): PluginHooks {\n    return this.config.hooks || {};\n  }\n\n  isLoaded(): boolean {\n    return this.loaded;\n  }\n}\n\nexport class PluginManager {\n  private plugins: Map<string, Plugin> = new Map();\n  private pluginDirs: string[];\n\n  constructor(pluginDirs?: string[]) {\n    this.pluginDirs = pluginDirs || [\n      join(process.cwd(), \".bravecode\", \"plugins\"),\n      join(process.env.HOME || \"~\", \".bravecode\", \"plugins\"),\n    ];\n  }\n\n  async loadPlugins(): Promise<void> {\n    for (const dir of this.pluginDirs) {\n      if (!existsSync(dir)) continue;\n\n      try {\n        const entries = readdirSync(dir, { withFileTypes: true });\n\n        for (const entry of entries) {\n          if (!entry.isDirectory()) continue;\n\n          const pluginPath = join(dir, entry.name);\n          await this.loadPluginFromDir(pluginPath);\n        }\n      } catch {\n        // Intentionally skip unreadable directories\n      }\n    }\n  }\n\n  private async loadPluginFromDir(pluginPath: string): Promise<void> {\n    const manifestPath = join(pluginPath, \"plugin.json\");\n\n    if (!existsSync(manifestPath)) return;\n\n    try {\n      const manifest = JSON.parse(readFileSync(manifestPath, \"utf-8\"));\n\n      const pluginFile = join(pluginPath, \"index.js\");\n      if (existsSync(pluginFile)) {\n        const pluginModule = await import(pluginFile);\n        const pluginConfig: PluginConfig = {\n          ...manifest,\n          tools: pluginModule.tools || manifest.tools,\n          hooks: pluginModule.hooks || manifest.hooks,\n        };\n\n        const plugin = new Plugin(pluginConfig);\n        await plugin.load();\n        this.plugins.set(manifest.name, plugin);\n      }\n    } catch {\n      // Intentionally skip plugins that fail to load\n    }\n  }\n\n  registerPlugin(plugin: Plugin): void {\n    this.plugins.set(plugin.config.name, plugin);\n  }\n\n  getPlugin(name: string): Plugin | undefined {\n    return this.plugins.get(name);\n  }\n\n  getAllPlugins(): Plugin[] {\n    return Array.from(this.plugins.values());\n  }\n\n  getAllTools(): Tool[] {\n    const tools: Tool[] = [];\n    for (const plugin of this.plugins.values()) {\n      tools.push(...plugin.getTools());\n    }\n    return tools;\n  }\n\n  getAllHooks(): PluginHooks {\n    const combined: PluginHooks = {};\n\n    for (const plugin of this.plugins.values()) {\n      const hooks = plugin.getHooks();\n\n      if (hooks.beforeToolCall) {\n        const existing = combined.beforeToolCall;\n        combined.beforeToolCall = async (toolName, args) => {\n          if (existing) args = await existing(toolName, args);\n          return hooks.beforeToolCall!(toolName, args);\n        };\n      }\n\n      if (hooks.afterToolCall) {\n        const existing = combined.afterToolCall;\n        combined.afterToolCall = async (toolName, args, result) => {\n          if (existing) result = await existing(toolName, args, result);\n          return hooks.afterToolCall!(toolName, args, result);\n        };\n      }\n\n      if (hooks.beforeAgentRun) {\n        const existing = combined.beforeAgentRun;\n        combined.beforeAgentRun = async (agentId, message) => {\n          if (existing) message = await existing(agentId, message);\n          return hooks.beforeAgentRun!(agentId, message);\n        };\n      }\n\n      if (hooks.afterAgentRun) {\n        const existing = combined.afterAgentRun;\n        combined.afterAgentRun = async (agentId, message, result) => {\n          if (existing) result = await existing(agentId, message, result);\n          return hooks.afterAgentRun!(agentId, message, result);\n        };\n      }\n    }\n\n    return combined;\n  }\n\n  async uninstallPlugin(name: string): Promise<void> {\n    const plugin = this.plugins.get(name);\n    if (plugin) {\n      this.plugins.delete(name);\n    }\n  }\n}\n", "import { bashTool, type Tool } from \"./bash\";\n\nexport type { Tool } from \"./bash\";\nimport { readTool, writeTool, editTool } from \"./file\";\nimport { grepTool, globTool } from \"./search\";\nimport { browserTool, webfetchTool, curlTool } from \"./browser\";\nimport { todowriteTool } from \"./todowrite\";\nimport { websearchTool } from \"./websearch\";\nimport { taskTool } from \"./task\";\nimport { MCPServer, type MCPServerConfig } from \"../mcp\";\nimport { PluginManager } from \"../plugin\";\n\nexport class ToolRegistry {\n  private tools: Map<string, Tool> = new Map();\n  private mcpServers: Map<string, MCPServer> = new Map();\n  private pluginManager: PluginManager;\n\n  constructor() {\n    this.register(bashTool);\n    this.register(readTool);\n    this.register(writeTool);\n    this.register(editTool);\n    this.register(grepTool);\n    this.register(globTool);\n    this.register(browserTool);\n    this.register(webfetchTool);\n    this.register(curlTool);\n    this.register(todowriteTool);\n    this.register(websearchTool);\n    this.register(taskTool);\n\n    this.pluginManager = new PluginManager();\n  }\n\n  async loadPlugins(): Promise<void> {\n    await this.pluginManager.loadPlugins();\n    const pluginTools = this.pluginManager.getAllTools();\n    for (const tool of pluginTools) {\n      this.register(tool);\n    }\n  }\n\n  async addMCPServer(config: MCPServerConfig): Promise<void> {\n    const server = new MCPServer(config);\n    await server.start();\n    this.mcpServers.set(config.id, server);\n\n    const mcpTools = server.getTools();\n    for (const tool of mcpTools) {\n      this.register(tool);\n    }\n  }\n\n  async removeMCPServer(id: string): Promise<void> {\n    const server = this.mcpServers.get(id);\n    if (server) {\n      await server.stop();\n      this.mcpServers.delete(id);\n    }\n  }\n\n  getMCPServer(id: string): MCPServer | undefined {\n    return this.mcpServers.get(id);\n  }\n\n  getMCPServerCount(): number {\n    return this.mcpServers.size;\n  }\n\n  getPluginManager(): PluginManager {\n    return this.pluginManager;\n  }\n\n  register(tool: Tool): void {\n    this.tools.set(tool.name, tool);\n  }\n\n  get(name: string): Tool | undefined {\n    return this.tools.get(name);\n  }\n\n  list(): Tool[] {\n    return Array.from(this.tools.values());\n  }\n\n  getToolDefinitions(): any[] {\n    return this.list().map((tool) => ({\n      type: \"function\",\n      function: {\n        name: tool.name,\n        description: tool.description,\n        parameters: tool.parameters,\n      },\n    }));\n  }\n\n  async execute(name: string, input: any): Promise<string> {\n    const tool = this.tools.get(name);\n    if (!tool) {\n      return `Error: Unknown tool: ${name}`;\n    }\n    try {\n      return await tool.execute(input);\n    } catch (error: any) {\n      return `Error executing ${name}: ${error.message}`;\n    }\n  }\n}\n", "export const balanced = (\n  a: string | RegExp,\n  b: string | RegExp,\n  str: string,\n) => {\n  const ma = a instanceof RegExp ? maybeMatch(a, str) : a\n  const mb = b instanceof RegExp ? maybeMatch(b, str) : b\n\n  const r = ma !== null && mb != null && range(ma, mb, str)\n\n  return (\n    r && {\n      start: r[0],\n      end: r[1],\n      pre: str.slice(0, r[0]),\n      body: str.slice(r[0] + ma.length, r[1]),\n      post: str.slice(r[1] + mb.length),\n    }\n  )\n}\n\nconst maybeMatch = (reg: RegExp, str: string) => {\n  const m = str.match(reg)\n  return m ? m[0] : null\n}\n\nexport const range = (\n  a: string,\n  b: string,\n  str: string,\n): undefined | [number, number] => {\n  let begs: number[],\n    beg: number | undefined,\n    left: number,\n    right: number | undefined = undefined,\n    result: undefined | [number, number]\n  let ai = str.indexOf(a)\n  let bi = str.indexOf(b, ai + 1)\n  let i = ai\n\n  if (ai >= 0 && bi > 0) {\n    if (a === b) {\n      return [ai, bi]\n    }\n    begs = []\n    left = str.length\n\n    while (i >= 0 && !result) {\n      if (i === ai) {\n        begs.push(i)\n        ai = str.indexOf(a, i + 1)\n      } else if (begs.length === 1) {\n        const r = begs.pop()\n        if (r !== undefined) result = [r, bi]\n      } else {\n        beg = begs.pop()\n        if (beg !== undefined && beg < left) {\n          left = beg\n          right = bi\n        }\n\n        bi = str.indexOf(b, i + 1)\n      }\n\n      i = ai < bi && ai >= 0 ? ai : bi\n    }\n\n    if (begs.length && right !== undefined) {\n      result = [left, right]\n    }\n  }\n\n  return result\n}\n", "import { balanced } from 'balanced-match'\n\nconst escSlash = '\\0SLASH' + Math.random() + '\\0'\nconst escOpen = '\\0OPEN' + Math.random() + '\\0'\nconst escClose = '\\0CLOSE' + Math.random() + '\\0'\nconst escComma = '\\0COMMA' + Math.random() + '\\0'\nconst escPeriod = '\\0PERIOD' + Math.random() + '\\0'\nconst escSlashPattern = new RegExp(escSlash, 'g')\nconst escOpenPattern = new RegExp(escOpen, 'g')\nconst escClosePattern = new RegExp(escClose, 'g')\nconst escCommaPattern = new RegExp(escComma, 'g')\nconst escPeriodPattern = new RegExp(escPeriod, 'g')\nconst slashPattern = /\\\\\\\\/g\nconst openPattern = /\\\\{/g\nconst closePattern = /\\\\}/g\nconst commaPattern = /\\\\,/g\nconst periodPattern = /\\\\\\./g\n\nexport const EXPANSION_MAX = 100_000\n\n// `EXPANSION_MAX` caps the *number* of expansions, but not their length. An\n// input like `'{a,b}'.repeat(1500)` stays under that count - its output is\n// truncated to 100k results - while making every result ~1500 characters\n// long. The result set, and the intermediate arrays built while combining\n// brace sets, then grow large enough to exhaust memory and crash the process\n// (CVE-2026-14257). `EXPANSION_MAX_LENGTH` bounds the total number of\n// characters the accumulator may hold at any point, so memory stays flat no\n// matter how many brace groups are chained. The limit sits well above any\n// realistic expansion (100k results hitting `EXPANSION_MAX` measure ~1M\n// characters) so legitimate input is unaffected.\nexport const EXPANSION_MAX_LENGTH = 4_000_000\n\nfunction numeric(str: string) {\n  return !isNaN(str as any) ? parseInt(str, 10) : str.charCodeAt(0)\n}\n\nfunction escapeBraces(str: string) {\n  return str\n    .replace(slashPattern, escSlash)\n    .replace(openPattern, escOpen)\n    .replace(closePattern, escClose)\n    .replace(commaPattern, escComma)\n    .replace(periodPattern, escPeriod)\n}\n\nfunction unescapeBraces(str: string) {\n  return str\n    .replace(escSlashPattern, '\\\\')\n    .replace(escOpenPattern, '{')\n    .replace(escClosePattern, '}')\n    .replace(escCommaPattern, ',')\n    .replace(escPeriodPattern, '.')\n}\n\n/**\n * Basically just str.split(\",\"), but handling cases\n * where we have nested braced sections, which should be\n * treated as individual members, like {a,{b,c},d}\n */\nfunction parseCommaParts(str: string) {\n  if (!str) {\n    return ['']\n  }\n\n  const parts: string[] = []\n  const m = balanced('{', '}', str)\n\n  if (!m) {\n    return str.split(',')\n  }\n\n  const { pre, body, post } = m\n  const p = pre.split(',')\n\n  p[p.length - 1] += '{' + body + '}'\n  const postParts = parseCommaParts(post)\n  if (post.length) {\n    ;(p[p.length - 1] as string) += postParts.shift()\n    p.push.apply(p, postParts)\n  }\n\n  parts.push.apply(parts, p)\n\n  return parts\n}\n\nexport type BraceExpansionOptions = {\n  max?: number\n  maxLength?: number\n}\n\nexport function expand(str: string, options: BraceExpansionOptions = {}) {\n  if (!str) {\n    return []\n  }\n\n  const { max = EXPANSION_MAX, maxLength = EXPANSION_MAX_LENGTH } = options\n\n  // I don't know why Bash 4.3 does this, but it does.\n  // Anything starting with {} will have the first two bytes preserved\n  // but *only* at the top level, so {},a}b will not expand to anything,\n  // but a{},b}c will be expanded to [a}c,abc].\n  // One could argue that this is a bug in Bash, but since the goal of\n  // this module is to match Bash's rules, we escape a leading {}\n  if (str.slice(0, 2) === '{}') {\n    str = '\\\\{\\\\}' + str.slice(2)\n  }\n\n  return expand_(escapeBraces(str), max, maxLength, true).map(unescapeBraces)\n}\n\nfunction embrace(str: string) {\n  return '{' + str + '}'\n}\n\nfunction isPadded(el: string) {\n  return /^-?0\\d/.test(el)\n}\n\nfunction lte(i: number, y: number) {\n  return i <= y\n}\n\nfunction gte(i: number, y: number) {\n  return i >= y\n}\n\n// Build `{ acc[a] + pre + values[v] }` for every combination, capping the\n// number of results at `max` and the total number of characters at `maxLength`.\n// This is the one place output grows, so bounding it here keeps the single\n// accumulator - and therefore memory - flat regardless of how many brace groups\n// are combined (CVE-2026-14257).\nfunction combine(\n  acc: string[],\n  pre: string,\n  values: string[],\n  max: number,\n  maxLength: number,\n  dropEmpties: boolean,\n): string[] {\n  const out: string[] = []\n  let length = 0\n  for (let a = 0; a < acc.length; a++) {\n    for (let v = 0; v < values.length; v++) {\n      if (out.length >= max) return out\n      const expansion = (acc[a] as string) + pre + values[v]\n      // Bash drops empty results at the top level. Skip them before they count\n      // against `max`, so `max` bounds the number of *kept* results.\n      if (dropEmpties && !expansion) continue\n      if (length + expansion.length > maxLength) return out\n      out.push(expansion)\n      length += expansion.length\n    }\n  }\n  return out\n}\n\n// The expansion values of a single numeric (`1..5`) or alphabetic (`a..e..2`)\n// sequence body.\nfunction expandSequence(\n  body: string,\n  isAlphaSequence: boolean,\n  max: number,\n  maxLength: number,\n): string[] {\n  const n = body.split(/\\.\\./)\n  const N: string[] = []\n  // A sequence body always splits into two or three parts, but the compiler\n  // can't know that.\n  /* c8 ignore start */\n  if (n[0] === undefined || n[1] === undefined) {\n    return N\n  }\n  /* c8 ignore stop */\n  const x = numeric(n[0])\n  const y = numeric(n[1])\n  const width = Math.max(n[0].length, n[1].length)\n  let incr =\n    n.length === 3 && n[2] !== undefined ?\n      Math.max(Math.abs(numeric(n[2])), 1)\n    : 1\n  let test = lte\n  const reverse = y < x\n  if (reverse) {\n    incr *= -1\n    test = gte\n  }\n  const pad = n.some(isPadded)\n\n  let length = 0\n  for (let i = x; test(i, y) && N.length < max; i += incr) {\n    let c\n    if (isAlphaSequence) {\n      c = String.fromCharCode(i)\n      if (c === '\\\\') {\n        c = ''\n      }\n    } else {\n      c = String(i)\n      if (pad) {\n        const need = width - c.length\n        if (need > 0) {\n          const z = new Array(need + 1).join('0')\n          if (i < 0) {\n            c = '-' + z + c.slice(1)\n          } else {\n            c = z + c\n          }\n        }\n      }\n    }\n    if (length + c.length > maxLength) break\n    N.push(c)\n    length += c.length\n  }\n  return N\n}\n\nfunction expand_(\n  str: string,\n  max: number,\n  maxLength: number,\n  isTop: boolean,\n): string[] {\n  // Consume the string's top-level brace groups left to right, threading a\n  // running set of combined prefixes (`acc`). Expanding the tail iteratively -\n  // rather than recursing on `m.post` once per group - keeps the native stack\n  // depth constant, so deeply chained input (`'{a,b}'.repeat(3000)`) can no\n  // longer overflow the stack, and leaves a single accumulator whose size\n  // `maxLength` bounds directly (CVE-2026-14257).\n  let acc: string[] = ['']\n\n  // Bash drops empty results, but only when the *first* top-level group is a\n  // comma set - a sequence like `{a..\\}` may legitimately yield ''. The drop\n  // is on the final strings, so it is applied to whichever `combine` produces\n  // them (the one with no brace set left in the tail).\n  let dropEmpties = false\n  let firstGroup = true\n\n  for (;;) {\n    const m = balanced('{', '}', str)\n\n    // No brace set left: the rest of the string is literal.\n    if (!m) {\n      return combine(acc, str, [''], max, maxLength, dropEmpties)\n    }\n\n    // no need to expand pre, since it is guaranteed to be free of brace-sets\n    const pre = m.pre\n\n    if (/\\$$/.test(pre)) {\n      acc = combine(\n        acc,\n        pre + '{' + m.body + '}',\n        [''],\n        max,\n        maxLength,\n        dropEmpties && !m.post.length,\n      )\n      firstGroup = false\n      if (!m.post.length) break\n      str = m.post\n      continue\n    }\n\n    const isNumericSequence = /^-?\\d+\\.\\.-?\\d+(?:\\.\\.-?\\d+)?$/.test(m.body)\n    const isAlphaSequence = /^[a-zA-Z]\\.\\.[a-zA-Z](?:\\.\\.-?\\d+)?$/.test(\n      m.body,\n    )\n    const isSequence = isNumericSequence || isAlphaSequence\n    const isOptions = m.body.indexOf(',') >= 0\n    if (!isSequence && !isOptions) {\n      // {a},b}\n      if (m.post.match(/,(?!,).*\\}/)) {\n        str = m.pre + '{' + m.body + escClose + m.post\n        isTop = true\n        continue\n      }\n      // Nothing here expands, so the whole remaining string is literal.\n      return combine(\n        acc,\n        pre + '{' + m.body + '}' + m.post,\n        [''],\n        max,\n        maxLength,\n        dropEmpties,\n      )\n    }\n\n    if (firstGroup) {\n      dropEmpties = isTop && !isSequence\n      firstGroup = false\n    }\n\n    let values: string[]\n    if (isSequence) {\n      values = expandSequence(m.body, isAlphaSequence, max, maxLength)\n    } else {\n      let n = parseCommaParts(m.body)\n      if (n.length === 1 && n[0] !== undefined) {\n        // x{{a,b}}y ==> x{a}y x{b}y\n        n = expand_(n[0], max, maxLength, false).map(embrace)\n        //XXX is this necessary? Can't seem to hit it in tests.\n        /* c8 ignore start */\n        if (n.length === 1) {\n          acc = combine(\n            acc,\n            pre + n[0],\n            [''],\n            max,\n            maxLength,\n            dropEmpties && !m.post.length,\n          )\n          if (!m.post.length) break\n          str = m.post\n          continue\n        }\n        /* c8 ignore stop */\n      }\n\n      // Values that `combine` is going to drop as empty produce no result, so\n      // they must not count against `max` - otherwise `{a,,b}` with `max: 2`\n      // would stop at `['a', '']` and yield one result instead of two. Skipping\n      // them outright keeps `values` bounded while leaving `max` a bound on\n      // *kept* results.\n      let dropsEmpties = dropEmpties && !m.post.length && !pre\n      for (let d = 0; dropsEmpties && d < acc.length; d++) {\n        if (acc[d]) {\n          dropsEmpties = false\n        }\n      }\n\n      values = []\n      let valuesLength = 0\n      outer: for (let j = 0; j < n.length; j++) {\n        const expanded = expand_(n[j] as string, max, maxLength, false)\n        for (let k = 0; k < expanded.length; k++) {\n          const v = expanded[k] as string\n          if (dropsEmpties && !v) continue\n          if (values.length >= max || valuesLength + v.length > maxLength) {\n            break outer\n          }\n          values.push(v)\n          valuesLength += v.length\n        }\n      }\n    }\n\n    acc = combine(acc, pre, values, max, maxLength, dropEmpties && !m.post.length)\n    if (!m.post.length) break\n    str = m.post\n  }\n\n  return acc\n}\n", "const MAX_PATTERN_LENGTH = 1024 * 64\nexport const assertValidPattern: (pattern: unknown) => void = (\n  pattern: unknown,\n): asserts pattern is string => {\n  if (typeof pattern !== 'string') {\n    throw new TypeError('invalid pattern')\n  }\n\n  if (pattern.length > MAX_PATTERN_LENGTH) {\n    throw new TypeError('pattern is too long')\n  }\n}\n", "// translate the various posix character classes into unicode properties\n// this works across all unicode locales\n\n// { <posix class>: [<translation>, /u flag required, negated]\nconst posixClasses: { [k: string]: [e: string, u: boolean, n?: boolean] } =\n  {\n    '[:alnum:]': ['\\\\p{L}\\\\p{Nl}\\\\p{Nd}', true],\n    '[:alpha:]': ['\\\\p{L}\\\\p{Nl}', true],\n    '[:ascii:]': ['\\\\x' + '00-\\\\x' + '7f', false],\n    '[:blank:]': ['\\\\p{Zs}\\\\t', true],\n    '[:cntrl:]': ['\\\\p{Cc}', true],\n    '[:digit:]': ['\\\\p{Nd}', true],\n    '[:graph:]': ['\\\\p{Z}\\\\p{C}', true, true],\n    '[:lower:]': ['\\\\p{Ll}', true],\n    '[:print:]': ['\\\\p{C}', true],\n    '[:punct:]': ['\\\\p{P}', true],\n    '[:space:]': ['\\\\p{Z}\\\\t\\\\r\\\\n\\\\v\\\\f', true],\n    '[:upper:]': ['\\\\p{Lu}', true],\n    '[:word:]': ['\\\\p{L}\\\\p{Nl}\\\\p{Nd}\\\\p{Pc}', true],\n    '[:xdigit:]': ['A-Fa-f0-9', false],\n  }\n\n// only need to escape a few things inside of brace expressions\n// escapes: [ \\ ] -\nconst braceEscape = (s: string) => s.replace(/[[\\]\\\\-]/g, '\\\\$&')\n// escape all regexp magic characters\nconst regexpEscape = (s: string) =>\n  s.replace(/[-[\\]{}()*+?.,\\\\^$|#\\s]/g, '\\\\$&')\n\n// everything has already been escaped, we just have to join\nconst rangesToString = (ranges: string[]): string => ranges.join('')\n\nexport type ParseClassResult = [\n  src: string,\n  uFlag: boolean,\n  consumed: number,\n  hasMagic: boolean,\n]\n\n// takes a glob string at a posix brace expression, and returns\n// an equivalent regular expression source, and boolean indicating\n// whether the /u flag needs to be applied, and the number of chars\n// consumed to parse the character class.\n// This also removes out of order ranges, and returns ($.) if the\n// entire class just no good.\nexport const parseClass = (\n  glob: string,\n  position: number,\n): ParseClassResult => {\n  const pos = position\n  /* c8 ignore start */\n  if (glob.charAt(pos) !== '[') {\n    throw new Error('not in a brace expression')\n  }\n  /* c8 ignore stop */\n  const ranges: string[] = []\n  const negs: string[] = []\n\n  let i = pos + 1\n  let sawStart = false\n  let uflag = false\n  let escaping = false\n  let negate = false\n  let endPos = pos\n  let rangeStart = ''\n  WHILE: while (i < glob.length) {\n    const c = glob.charAt(i)\n    if ((c === '!' || c === '^') && i === pos + 1) {\n      negate = true\n      i++\n      continue\n    }\n\n    if (c === ']' && sawStart && !escaping) {\n      endPos = i + 1\n      break\n    }\n\n    sawStart = true\n    if (c === '\\\\') {\n      if (!escaping) {\n        escaping = true\n        i++\n        continue\n      }\n      // escaped \\ char, fall through and treat like normal char\n    }\n    if (c === '[' && !escaping) {\n      // either a posix class, a collation equivalent, or just a [\n      for (const [cls, [unip, u, neg]] of Object.entries(posixClasses)) {\n        if (glob.startsWith(cls, i)) {\n          // invalid, [a-[] is fine, but not [a-[:alpha]]\n          if (rangeStart) {\n            return ['$.', false, glob.length - pos, true]\n          }\n          i += cls.length\n          if (neg) negs.push(unip)\n          else ranges.push(unip)\n          uflag = uflag || u\n          continue WHILE\n        }\n      }\n    }\n\n    // now it's just a normal character, effectively\n    escaping = false\n    if (rangeStart) {\n      // throw this range away if it's not valid, but others\n      // can still match.\n      if (c > rangeStart) {\n        ranges.push(braceEscape(rangeStart) + '-' + braceEscape(c))\n      } else if (c === rangeStart) {\n        ranges.push(braceEscape(c))\n      }\n      rangeStart = ''\n      i++\n      continue\n    }\n\n    // now might be the start of a range.\n    // can be either c-d or c-] or c<more...>] or c] at this point\n    if (glob.startsWith('-]', i + 1)) {\n      ranges.push(braceEscape(c + '-'))\n      i += 2\n      continue\n    }\n    if (glob.startsWith('-', i + 1)) {\n      rangeStart = c\n      i += 2\n      continue\n    }\n\n    // not the start of a range, just a single character\n    ranges.push(braceEscape(c))\n    i++\n  }\n\n  if (endPos < i) {\n    // didn't see the end of the class, not a valid class,\n    // but might still be valid as a literal match.\n    return ['', false, 0, false]\n  }\n\n  // if we got no ranges and no negates, then we have a range that\n  // cannot possibly match anything, and that poisons the whole glob\n  if (!ranges.length && !negs.length) {\n    return ['$.', false, glob.length - pos, true]\n  }\n\n  // if we got one positive range, and it's a single character, then that's\n  // not actually a magic pattern, it's just that one literal character.\n  // we should not treat that as \"magic\", we should just return the literal\n  // character. [_] is a perfectly valid way to escape glob magic chars.\n  if (\n    negs.length === 0 &&\n    ranges.length === 1 &&\n    /^\\\\?.$/.test(ranges[0]) &&\n    !negate\n  ) {\n    const r = ranges[0].length === 2 ? ranges[0].slice(-1) : ranges[0]\n    return [regexpEscape(r), false, endPos - pos, false]\n  }\n\n  const sranges = '[' + (negate ? '^' : '') + rangesToString(ranges) + ']'\n  const snegs = '[' + (negate ? '' : '^') + rangesToString(negs) + ']'\n  const comb =\n    ranges.length && negs.length ? '(' + sranges + '|' + snegs + ')'\n    : ranges.length ? sranges\n    : snegs\n\n  return [comb, uflag, endPos - pos, true]\n}\n", "import type { MinimatchOptions } from './index.js'\n\n/**\n * Un-escape a string that has been escaped with {@link escape}.\n *\n * If the {@link MinimatchOptions.windowsPathsNoEscape} option is used, then\n * square-bracket escapes are removed, but not backslash escapes.\n *\n * For example, it will turn the string `'[*]'` into `*`, but it will not\n * turn `'\\\\*'` into `'*'`, because `\\` is a path separator in\n * `windowsPathsNoEscape` mode.\n *\n * When `windowsPathsNoEscape` is not set, then both square-bracket escapes and\n * backslash escapes are removed.\n *\n * Slashes (and backslashes in `windowsPathsNoEscape` mode) cannot be escaped\n * or unescaped.\n *\n * When `magicalBraces` is not set, escapes of braces (`{` and `}`) will not be\n * unescaped.\n */\n\nexport const unescape = (\n  s: string,\n  {\n    windowsPathsNoEscape = false,\n    magicalBraces = true,\n  }: Pick<MinimatchOptions, 'windowsPathsNoEscape' | 'magicalBraces'> = {},\n) => {\n  if (magicalBraces) {\n    return windowsPathsNoEscape ?\n        s.replace(/\\[([^/\\\\])\\]/g, '$1')\n      : s\n          .replace(/((?!\\\\).|^)\\[([^/\\\\])\\]/g, '$1$2')\n          .replace(/\\\\([^/])/g, '$1')\n  }\n  return windowsPathsNoEscape ?\n      s.replace(/\\[([^/\\\\{}])\\]/g, '$1')\n    : s\n        .replace(/((?!\\\\).|^)\\[([^/\\\\{}])\\]/g, '$1$2')\n        .replace(/\\\\([^/{}])/g, '$1')\n}\n", "// parse a single path portion\n\nimport { parseClass } from './brace-expressions.js'\nimport type { MinimatchOptions, MMRegExp } from './index.js'\nimport { unescape } from './unescape.js'\n\n// classes [] are handled by the parseClass method\n// for positive extglobs, we sub-parse the contents, and combine,\n// with the appropriate regexp close.\n// for negative extglobs, we sub-parse the contents, but then\n// have to include the rest of the pattern, then the parent, etc.,\n// as the thing that cannot be because RegExp negative lookaheads\n// are different from globs.\n//\n// So for example:\n// a@(i|w!(x|y)z|j)b => ^a(i|w((!?(x|y)zb).*)z|j)b$\n//   1   2 3   4 5 6      1   2    3   46      5 6\n//\n// Assembling the extglob requires not just the negated patterns themselves,\n// but also anything following the negative patterns up to the boundary\n// of the current pattern, plus anything following in the parent pattern.\n//\n//\n// So, first, we parse the string into an AST of extglobs, without turning\n// anything into regexps yet.\n//\n// ['a', {@ [['i'], ['w', {!['x', 'y']}, 'z'], ['j']]}, 'b']\n//\n// Then, for all the negative extglobs, we append whatever comes after in\n// each parent as their tail\n//\n// ['a', {@ [['i'], ['w', {!['x', 'y'], 'z', 'b'}, 'z'], ['j']]}, 'b']\n//\n// Lastly, we turn each of these pieces into a regexp, and join\n//\n//                                 v----- .* because there's more following,\n//                                 v    v  otherwise, .+ because it must be\n//                                 v    v  *something* there.\n// ['^a', {@ ['i', 'w(?:(!?(?:x|y).*zb$).*)z', 'j' ]}, 'b$']\n//   copy what follows into here--^^^^^\n// ['^a', '(?:i|w(?:(?!(?:x|y).*zb$).*)z|j)', 'b$']\n// ['^a(?:i|w(?:(?!(?:x|y).*zb$).*)z|j)b$']\n\nexport type ExtglobType = '!' | '?' | '+' | '*' | '@'\nconst types = new Set<ExtglobType>(['!', '?', '+', '*', '@'])\nconst isExtglobType = (c: string | null): c is ExtglobType =>\n  types.has(c as ExtglobType)\nconst isExtglobAST = (c: AST): c is AST & { type: ExtglobType } =>\n  isExtglobType(c.type)\n\n// Map of which extglob types can adopt the children of a nested extglob\n//\n// anything but ! can adopt a matching type:\n// +(a|+(b|c)|d) => +(a|b|c|d)\n// *(a|*(b|c)|d) => *(a|b|c|d)\n// @(a|@(b|c)|d) => @(a|b|c|d)\n// ?(a|?(b|c)|d) => ?(a|b|c|d)\n//\n// * can adopt anything, because 0 or repetition is allowed\n// *(a|?(b|c)|d) => *(a|b|c|d)\n// *(a|+(b|c)|d) => *(a|b|c|d)\n// *(a|@(b|c)|d) => *(a|b|c|d)\n//\n// + can adopt @, because 1 or repetition is allowed\n// +(a|@(b|c)|d) => +(a|b|c|d)\n//\n// + and @ CANNOT adopt *, because 0 would be allowed\n// +(a|*(b|c)|d) => would match \"\", on *(b|c)\n// @(a|*(b|c)|d) => would match \"\", on *(b|c)\n//\n// + and @ CANNOT adopt ?, because 0 would be allowed\n// +(a|?(b|c)|d) => would match \"\", on ?(b|c)\n// @(a|?(b|c)|d) => would match \"\", on ?(b|c)\n//\n// ? can adopt @, because 0 or 1 is allowed\n// ?(a|@(b|c)|d) => ?(a|b|c|d)\n//\n// ? and @ CANNOT adopt * or +, because >1 would be allowed\n// ?(a|*(b|c)|d) => would match bbb on *(b|c)\n// @(a|*(b|c)|d) => would match bbb on *(b|c)\n// ?(a|+(b|c)|d) => would match bbb on +(b|c)\n// @(a|+(b|c)|d) => would match bbb on +(b|c)\n//\n// ! CANNOT adopt ! (nothing else can either)\n// !(a|!(b|c)|d) => !(a|b|c|d) would fail to match on b (not not b|c)\n//\n// ! can adopt @\n// !(a|@(b|c)|d) => !(a|b|c|d)\n//\n// ! CANNOT adopt *\n// !(a|*(b|c)|d) => !(a|b|c|d) would match on bbb, not allowed\n//\n// ! CANNOT adopt +\n// !(a|+(b|c)|d) => !(a|b|c|d) would match on bbb, not allowed\n//\n// ! CANNOT adopt ?\n// x!(a|?(b|c)|d) => x!(a|b|c|d) would fail to match \"x\"\nconst adoptionMap = new Map<ExtglobType, ExtglobType[]>([\n  ['!', ['@']],\n  ['?', ['?', '@']],\n  ['@', ['@']],\n  ['*', ['*', '+', '?', '@']],\n  ['+', ['+', '@']],\n])\n\n// nested extglobs that can be adopted in, but with the addition of\n// a blank '' element.\nconst adoptionWithSpaceMap = new Map<ExtglobType, ExtglobType[]>([\n  ['!', ['?']],\n  ['@', ['?']],\n  ['+', ['?', '*']],\n])\n\n// union of the previous two maps\nconst adoptionAnyMap = new Map<ExtglobType, ExtglobType[]>([\n  ['!', ['?', '@']],\n  ['?', ['?', '@']],\n  ['@', ['?', '@']],\n  ['*', ['*', '+', '?', '@']],\n  ['+', ['+', '@', '?', '*']],\n])\n\n// Extglobs that can take over their parent if they are the only child\n// the key is parent, value maps child to resulting extglob parent type\n// '@' is omitted because it's a special case. An `@` extglob with a single\n// member can always be usurped by that subpattern.\nconst usurpMap = new Map<\n  ExtglobType,\n  Map<ExtglobType | null, ExtglobType | null>\n>([\n  ['!', new Map([['!', '@']])],\n  [\n    '?',\n    new Map([\n      ['*', '*'],\n      ['+', '*'],\n    ]),\n  ],\n  [\n    '@',\n    new Map([\n      ['!', '!'],\n      ['?', '?'],\n      ['@', '@'],\n      ['*', '*'],\n      ['+', '+'],\n    ]),\n  ],\n  [\n    '+',\n    new Map([\n      ['?', '*'],\n      ['*', '*'],\n    ]),\n  ],\n])\n\n// Patterns that get prepended to bind to the start of either the\n// entire string, or just a single path portion, to prevent dots\n// and/or traversal patterns, when needed.\n// Exts don't need the ^ or / bit, because the root binds that already.\nconst startNoTraversal = '(?!(?:^|/)\\\\.\\\\.?(?:$|/))'\nconst startNoDot = '(?!\\\\.)'\n\n// characters that indicate a start of pattern needs the \"no dots\" bit,\n// because a dot *might* be matched. ( is not in the list, because in\n// the case of a child extglob, it will handle the prevention itself.\nconst addPatternStart = new Set(['[', '.'])\n// cases where traversal is A-OK, no dot prevention needed\nconst justDots = new Set(['..', '.'])\nconst reSpecials = new Set('().*{}+?[]^$\\\\!')\nconst regExpEscape = (s: string) =>\n  s.replace(/[-[\\]{}()*+?.,\\\\^$|#\\s]/g, '\\\\$&')\n\n// any single thing other than /\nconst qmark = '[^/]'\n\n// * => any number of characters\nconst star = qmark + '*?'\n// use + when we need to ensure that *something* matches, because the * is\n// the only thing in the path portion.\nconst starNoEmpty = qmark + '+?'\n\n// remove the \\ chars that we added if we end up doing a nonmagic compare\n// const deslash = (s: string) => s.replace(/\\\\(.)/g, '$1')\n\nlet ID = 0\nexport class AST {\n  type: ExtglobType | null\n  readonly #root: AST\n\n  #hasMagic?: boolean\n  #uflag: boolean = false\n  #parts: (string | AST)[] = []\n  #parent?: AST\n  #parentIndex: number\n  #negs: AST[]\n  #filledNegs: boolean = false\n  #options: MinimatchOptions\n  #toString?: string\n  // set to true if it's an extglob with no children\n  // (which really means one child of '')\n  #emptyExt: boolean = false\n  id = ++ID\n\n  get depth(): number {\n    return (this.#parent?.depth ?? -1) + 1\n  }\n\n  [Symbol.for('nodejs.util.inspect.custom')]() {\n    return {\n      '@@type': 'AST',\n      id: this.id,\n      type: this.type,\n      root: this.#root.id,\n      parent: this.#parent?.id,\n      depth: this.depth,\n      partsLength: this.#parts.length,\n      parts: this.#parts,\n    }\n  }\n\n  constructor(\n    type: ExtglobType | null,\n    parent?: AST,\n    options: MinimatchOptions = {},\n  ) {\n    this.type = type\n    // extglobs are inherently magical\n    if (type) this.#hasMagic = true\n    this.#parent = parent\n    this.#root = this.#parent ? this.#parent.#root : this\n    this.#options = this.#root === this ? options : this.#root.#options\n    this.#negs = this.#root === this ? [] : this.#root.#negs\n    if (type === '!' && !this.#root.#filledNegs) this.#negs.push(this)\n    this.#parentIndex = this.#parent ? this.#parent.#parts.length : 0\n  }\n\n  get hasMagic(): boolean | undefined {\n    /* c8 ignore start */\n    if (this.#hasMagic !== undefined) return this.#hasMagic\n    /* c8 ignore stop */\n    for (const p of this.#parts) {\n      if (typeof p === 'string') continue\n      if (p.type || p.hasMagic) return (this.#hasMagic = true)\n    }\n    // note: will be undefined until we generate the regexp src and find out\n    return this.#hasMagic\n  }\n\n  // reconstructs the pattern\n  toString(): string {\n    return (\n      this.#toString !== undefined ? this.#toString\n      : !this.type ?\n        (this.#toString = this.#parts.map(p => String(p)).join(''))\n      : (this.#toString =\n          this.type +\n          '(' +\n          this.#parts.map(p => String(p)).join('|') +\n          ')')\n    )\n  }\n\n  #fillNegs() {\n    /* c8 ignore start */\n    if (this !== this.#root) throw new Error('should only call on root')\n    if (this.#filledNegs) return this\n    /* c8 ignore stop */\n\n    // call toString() once to fill this out\n    this.toString()\n    this.#filledNegs = true\n    let n: AST | undefined\n    while ((n = this.#negs.pop())) {\n      if (n.type !== '!') continue\n      // walk up the tree, appending everthing that comes AFTER parentIndex\n      let p: AST | undefined = n\n      let pp = p.#parent\n      while (pp) {\n        for (\n          let i = p.#parentIndex + 1;\n          !pp.type && i < pp.#parts.length;\n          i++\n        ) {\n          for (const part of n.#parts) {\n            /* c8 ignore start */\n            if (typeof part === 'string') {\n              throw new Error('string part in extglob AST??')\n            }\n            /* c8 ignore stop */\n            part.copyIn(pp.#parts[i])\n          }\n        }\n        p = pp\n        pp = p.#parent\n      }\n    }\n    return this\n  }\n\n  push(...parts: (string | AST)[]) {\n    for (const p of parts) {\n      if (p === '') continue\n      /* c8 ignore start */\n      if (\n        typeof p !== 'string' &&\n        !(p instanceof AST && p.#parent === this)\n      ) {\n        throw new Error('invalid part: ' + p)\n      }\n      /* c8 ignore stop */\n      this.#parts.push(p)\n    }\n  }\n\n  toJSON() {\n    const ret: unknown[] =\n      this.type === null ?\n        this.#parts\n          .slice()\n          .map(p => (typeof p === 'string' ? p : p.toJSON()))\n      : [this.type, ...this.#parts.map(p => (p as AST).toJSON())]\n    if (this.isStart() && !this.type) ret.unshift([])\n    if (\n      this.isEnd() &&\n      (this === this.#root ||\n        (this.#root.#filledNegs && this.#parent?.type === '!'))\n    ) {\n      ret.push({})\n    }\n    return ret\n  }\n\n  isStart(): boolean {\n    if (this.#root === this) return true\n    // if (this.type) return !!this.#parent?.isStart()\n    if (!this.#parent?.isStart()) return false\n    if (this.#parentIndex === 0) return true\n    // if everything AHEAD of this is a negation, then it's still the \"start\"\n    const p = this.#parent\n    for (let i = 0; i < this.#parentIndex; i++) {\n      const pp = p.#parts[i]\n      if (!(pp instanceof AST && pp.type === '!')) {\n        return false\n      }\n    }\n    return true\n  }\n\n  isEnd(): boolean {\n    if (this.#root === this) return true\n    if (this.#parent?.type === '!') return true\n    if (!this.#parent?.isEnd()) return false\n    if (!this.type) return this.#parent?.isEnd()\n    // if not root, it'll always have a parent\n    /* c8 ignore start */\n    const pl = this.#parent ? this.#parent.#parts.length : 0\n    /* c8 ignore stop */\n    return this.#parentIndex === pl - 1\n  }\n\n  copyIn(part: AST | string) {\n    if (typeof part === 'string') this.push(part)\n    else this.push(part.clone(this))\n  }\n\n  clone(parent: AST) {\n    const c = new AST(this.type, parent)\n    for (const p of this.#parts) {\n      c.copyIn(p)\n    }\n    return c\n  }\n\n  static #parseAST(\n    str: string,\n    ast: AST,\n    pos: number,\n    opt: MinimatchOptions,\n    extDepth: number,\n  ): number {\n    const maxDepth = opt.maxExtglobRecursion ?? 2\n    let escaping = false\n    let inBrace = false\n    let braceStart = -1\n    let braceNeg = false\n    if (ast.type === null) {\n      // outside of a extglob, append until we find a start\n      let i = pos\n      let acc = ''\n      while (i < str.length) {\n        const c = str.charAt(i++)\n        // still accumulate escapes at this point, but we do ignore\n        // starts that are escaped\n        if (escaping || c === '\\\\') {\n          escaping = !escaping\n          acc += c\n          continue\n        }\n\n        if (inBrace) {\n          if (i === braceStart + 1) {\n            if (c === '^' || c === '!') {\n              braceNeg = true\n            }\n          } else if (c === ']' && !(i === braceStart + 2 && braceNeg)) {\n            inBrace = false\n          }\n          acc += c\n          continue\n        } else if (c === '[') {\n          inBrace = true\n          braceStart = i\n          braceNeg = false\n          acc += c\n          continue\n        }\n\n        // we don't have to check for adoption here, because that's\n        // done at the other recursion point.\n        const doRecurse =\n          !opt.noext &&\n          isExtglobType(c) &&\n          str.charAt(i) === '(' &&\n          extDepth <= maxDepth\n        if (doRecurse) {\n          ast.push(acc)\n          acc = ''\n          const ext = new AST(c, ast)\n          i = AST.#parseAST(str, ext, i, opt, extDepth + 1)\n          ast.push(ext)\n          continue\n        }\n        acc += c\n      }\n      ast.push(acc)\n      return i\n    }\n\n    // some kind of extglob, pos is at the (\n    // find the next | or )\n    let i = pos + 1\n    let part = new AST(null, ast)\n    const parts: AST[] = []\n    let acc = ''\n    while (i < str.length) {\n      const c = str.charAt(i++)\n      // still accumulate escapes at this point, but we do ignore\n      // starts that are escaped\n      if (escaping || c === '\\\\') {\n        escaping = !escaping\n        acc += c\n        continue\n      }\n\n      if (inBrace) {\n        if (i === braceStart + 1) {\n          if (c === '^' || c === '!') {\n            braceNeg = true\n          }\n        } else if (c === ']' && !(i === braceStart + 2 && braceNeg)) {\n          inBrace = false\n        }\n        acc += c\n        continue\n      } else if (c === '[') {\n        inBrace = true\n        braceStart = i\n        braceNeg = false\n        acc += c\n        continue\n      }\n\n      const doRecurse =\n        !opt.noext &&\n        isExtglobType(c) &&\n        str.charAt(i) === '(' &&\n        /* c8 ignore start - the maxDepth is sufficient here */\n        (extDepth <= maxDepth || (ast && ast.#canAdoptType(c)))\n      /* c8 ignore stop */\n      if (doRecurse) {\n        const depthAdd = ast && ast.#canAdoptType(c) ? 0 : 1\n        part.push(acc)\n        acc = ''\n        const ext = new AST(c, part)\n        part.push(ext)\n        i = AST.#parseAST(str, ext, i, opt, extDepth + depthAdd)\n        continue\n      }\n      if (c === '|') {\n        part.push(acc)\n        acc = ''\n        parts.push(part)\n        part = new AST(null, ast)\n        continue\n      }\n      if (c === ')') {\n        if (acc === '' && ast.#parts.length === 0) {\n          ast.#emptyExt = true\n        }\n        part.push(acc)\n        acc = ''\n        ast.push(...parts, part)\n        return i\n      }\n      acc += c\n    }\n\n    // unfinished extglob\n    // if we got here, it was a malformed extglob! not an extglob, but\n    // maybe something else in there.\n    ast.type = null\n    ast.#hasMagic = undefined\n    ast.#parts = [str.substring(pos - 1)]\n    return i\n  }\n\n  #canAdoptWithSpace(child?: AST | string): child is AST & {\n    type: null\n    parts: [AST & { type: ExtglobType }]\n  } {\n    return this.#canAdopt(child, adoptionWithSpaceMap)\n  }\n\n  #canAdopt(\n    child?: AST | string,\n    map: Map<ExtglobType, ExtglobType[]> = adoptionMap,\n  ): child is AST & {\n    type: null\n    parts: [AST & { type: ExtglobType }]\n  } {\n    if (\n      !child ||\n      typeof child !== 'object' ||\n      child.type !== null ||\n      child.#parts.length !== 1 ||\n      this.type === null\n    ) {\n      return false\n    }\n    const gc = child.#parts[0]\n    if (!gc || typeof gc !== 'object' || gc.type === null) {\n      return false\n    }\n    return (this as AST & { type: ExtglobType }).#canAdoptType(\n      gc.type,\n      map,\n    )\n  }\n  #canAdoptType(\n    c: string,\n    map: Map<ExtglobType, ExtglobType[]> = adoptionAnyMap,\n  ): c is ExtglobType {\n    return !!map.get(this.type as ExtglobType)?.includes(c as ExtglobType)\n  }\n\n  #adoptWithSpace(\n    this: AST & { type: ExtglobType },\n    child: AST & {\n      type: null\n    },\n    index: number,\n  ) {\n    const gc = child.#parts[0] as AST & { type: ExtglobType }\n    const blank = new AST(null, gc, this.options)\n    blank.#parts.push('')\n    gc.push(blank)\n    this.#adopt(child, index)\n  }\n\n  #adopt(\n    child: AST & {\n      type: null\n    },\n    index: number,\n  ) {\n    const gc = child.#parts[0] as AST & { type: ExtglobType }\n    this.#parts.splice(index, 1, ...gc.#parts)\n    for (const p of gc.#parts) {\n      if (typeof p === 'object') p.#parent = this\n    }\n    this.#toString = undefined\n  }\n\n  #canUsurpType(c: string): boolean {\n    const m = usurpMap.get(this.type as ExtglobType)\n    return !!m?.has(c as ExtglobType)\n  }\n\n  #canUsurp(child?: AST | string): child is AST & {\n    type: null\n    parts: [AST & { type: ExtglobType }]\n  } {\n    if (\n      !child ||\n      typeof child !== 'object' ||\n      child.type !== null ||\n      child.#parts.length !== 1 ||\n      this.type === null ||\n      this.#parts.length !== 1\n    ) {\n      return false\n    }\n    const gc = child.#parts[0]\n    if (!gc || typeof gc !== 'object' || gc.type === null) {\n      return false\n    }\n    return (this as AST & { type: ExtglobType }).#canUsurpType(gc.type)\n  }\n\n  #usurp(this: AST & { type: ExtglobType }, child: AST & { type: null }) {\n    const m = usurpMap.get(this.type as ExtglobType)\n    const gc = child.#parts[0] as AST & { type: ExtglobType }\n    const nt = m?.get(gc.type)\n    /* c8 ignore start - impossible */\n    if (!nt) return false\n    /* c8 ignore stop */\n    this.#parts = gc.#parts\n    for (const p of this.#parts) {\n      if (typeof p === 'object') {\n        p.#parent = this\n      }\n    }\n    this.type = nt\n    this.#toString = undefined\n    this.#emptyExt = false\n  }\n\n  static fromGlob(pattern: string, options: MinimatchOptions = {}) {\n    const ast = new AST(null, undefined, options)\n    AST.#parseAST(pattern, ast, 0, options, 0)\n    return ast\n  }\n\n  // returns the regular expression if there's magic, or the unescaped\n  // string if not.\n  toMMPattern(): MMRegExp | string {\n    // should only be called on root\n    /* c8 ignore start */\n    if (this !== this.#root) return this.#root.toMMPattern()\n    /* c8 ignore stop */\n    const glob = this.toString()\n    const [re, body, hasMagic, uflag] = this.toRegExpSource()\n    // if we're in nocase mode, and not nocaseMagicOnly, then we do\n    // still need a regular expression if we have to case-insensitively\n    // match capital/lowercase characters.\n    const anyMagic =\n      hasMagic ||\n      this.#hasMagic ||\n      (this.#options.nocase &&\n        !this.#options.nocaseMagicOnly &&\n        glob.toUpperCase() !== glob.toLowerCase())\n    if (!anyMagic) {\n      return body\n    }\n\n    const flags = (this.#options.nocase ? 'i' : '') + (uflag ? 'u' : '')\n    return Object.assign(new RegExp(`^${re}$`, flags), {\n      _src: re,\n      _glob: glob,\n    })\n  }\n\n  get options() {\n    return this.#options\n  }\n\n  // returns the string match, the regexp source, whether there's magic\n  // in the regexp (so a regular expression is required) and whether or\n  // not the uflag is needed for the regular expression (for posix classes)\n  // TODO: instead of injecting the start/end at this point, just return\n  // the BODY of the regexp, along with the start/end portions suitable\n  // for binding the start/end in either a joined full-path makeRe context\n  // (where we bind to (^|/), or a standalone matchPart context (where\n  // we bind to ^, and not /).  Otherwise slashes get duped!\n  //\n  // In part-matching mode, the start is:\n  // - if not isStart: nothing\n  // - if traversal possible, but not allowed: ^(?!\\.\\.?$)\n  // - if dots allowed or not possible: ^\n  // - if dots possible and not allowed: ^(?!\\.)\n  // end is:\n  // - if not isEnd(): nothing\n  // - else: $\n  //\n  // In full-path matching mode, we put the slash at the START of the\n  // pattern, so start is:\n  // - if first pattern: same as part-matching mode\n  // - if not isStart(): nothing\n  // - if traversal possible, but not allowed: /(?!\\.\\.?(?:$|/))\n  // - if dots allowed or not possible: /\n  // - if dots possible and not allowed: /(?!\\.)\n  // end is:\n  // - if last pattern, same as part-matching mode\n  // - else nothing\n  //\n  // Always put the (?:$|/) on negated tails, though, because that has to be\n  // there to bind the end of the negated pattern portion, and it's easier to\n  // just stick it in now rather than try to inject it later in the middle of\n  // the pattern.\n  //\n  // We can just always return the same end, and leave it up to the caller\n  // to know whether it's going to be used joined or in parts.\n  // And, if the start is adjusted slightly, can do the same there:\n  // - if not isStart: nothing\n  // - if traversal possible, but not allowed: (?:/|^)(?!\\.\\.?$)\n  // - if dots allowed or not possible: (?:/|^)\n  // - if dots possible and not allowed: (?:/|^)(?!\\.)\n  //\n  // But it's better to have a simpler binding without a conditional, for\n  // performance, so probably better to return both start options.\n  //\n  // Then the caller just ignores the end if it's not the first pattern,\n  // and the start always gets applied.\n  //\n  // But that's always going to be $ if it's the ending pattern, or nothing,\n  // so the caller can just attach $ at the end of the pattern when building.\n  //\n  // So the todo is:\n  // - better detect what kind of start is needed\n  // - return both flavors of starting pattern\n  // - attach $ at the end of the pattern when creating the actual RegExp\n  //\n  // Ah, but wait, no, that all only applies to the root when the first pattern\n  // is not an extglob. If the first pattern IS an extglob, then we need all\n  // that dot prevention biz to live in the extglob portions, because eg\n  // +(*|.x*) can match .xy but not .yx.\n  //\n  // So, return the two flavors if it's #root and the first child is not an\n  // AST, otherwise leave it to the child AST to handle it, and there,\n  // use the (?:^|/) style of start binding.\n  //\n  // Even simplified further:\n  // - Since the start for a join is eg /(?!\\.) and the start for a part\n  // is ^(?!\\.), we can just prepend (?!\\.) to the pattern (either root\n  // or start or whatever) and prepend ^ or / at the Regexp construction.\n  toRegExpSource(\n    allowDot?: boolean,\n  ): [re: string, body: string, hasMagic: boolean, uflag: boolean] {\n    const dot = allowDot ?? !!this.#options.dot\n    if (this.#root === this) {\n      this.#flatten()\n      this.#fillNegs()\n    }\n    if (!isExtglobAST(this)) {\n      const noEmpty =\n        this.isStart() &&\n        this.isEnd() &&\n        !this.#parts.some(s => typeof s !== 'string')\n      const src = this.#parts\n        .map(p => {\n          const [re, _, hasMagic, uflag] =\n            typeof p === 'string' ?\n              AST.#parseGlob(p, this.#hasMagic, noEmpty)\n            : p.toRegExpSource(allowDot)\n          this.#hasMagic = this.#hasMagic || hasMagic\n          this.#uflag = this.#uflag || uflag\n          return re\n        })\n        .join('')\n\n      let start = ''\n      if (this.isStart()) {\n        if (typeof this.#parts[0] === 'string') {\n          // this is the string that will match the start of the pattern,\n          // so we need to protect against dots and such.\n\n          // '.' and '..' cannot match unless the pattern is that exactly,\n          // even if it starts with . or dot:true is set.\n          const dotTravAllowed =\n            this.#parts.length === 1 && justDots.has(this.#parts[0])\n          if (!dotTravAllowed) {\n            const aps = addPatternStart\n            // check if we have a possibility of matching . or ..,\n            // and prevent that.\n            const needNoTrav =\n              // dots are allowed, and the pattern starts with [ or .\n              (dot && aps.has(src.charAt(0))) ||\n              // the pattern starts with \\., and then [ or .\n              (src.startsWith('\\\\.') && aps.has(src.charAt(2))) ||\n              // the pattern starts with \\.\\., and then [ or .\n              (src.startsWith('\\\\.\\\\.') && aps.has(src.charAt(4)))\n            // no need to prevent dots if it can't match a dot, or if a\n            // sub-pattern will be preventing it anyway.\n            const needNoDot = !dot && !allowDot && aps.has(src.charAt(0))\n\n            start =\n              needNoTrav ? startNoTraversal\n              : needNoDot ? startNoDot\n              : ''\n          }\n        }\n      }\n\n      // append the \"end of path portion\" pattern to negation tails\n      let end = ''\n      if (\n        this.isEnd() &&\n        this.#root.#filledNegs &&\n        this.#parent?.type === '!'\n      ) {\n        end = '(?:$|\\\\/)'\n      }\n      const final = start + src + end\n      return [\n        final,\n        unescape(src),\n        (this.#hasMagic = !!this.#hasMagic),\n        this.#uflag,\n      ]\n    }\n\n    // We need to calculate the body *twice* if it's a repeat pattern\n    // at the start, once in nodot mode, then again in dot mode, so a\n    // pattern like *(?) can match 'x.y'\n\n    const repeated = this.type === '*' || this.type === '+'\n    // some kind of extglob\n    const start = this.type === '!' ? '(?:(?!(?:' : '(?:'\n    let body = (this as AST & { type: ExtglobType }).#partsToRegExp(dot)\n\n    if (this.isStart() && this.isEnd() && !body && this.type !== '!') {\n      // invalid extglob, has to at least be *something* present, if it's\n      // the entire path portion.\n      const s = this.toString()\n      const me = this as AST\n      me.#parts = [s]\n      me.type = null\n      me.#hasMagic = undefined\n      return [s, unescape(this.toString()), false, false]\n    }\n\n    let bodyDotAllowed =\n      !repeated || allowDot || dot || !startNoDot ?\n        ''\n      : this.#partsToRegExp(true)\n    if (bodyDotAllowed === body) {\n      bodyDotAllowed = ''\n    }\n    if (bodyDotAllowed) {\n      body = `(?:${body})(?:${bodyDotAllowed})*?`\n    }\n\n    // an empty !() is exactly equivalent to a starNoEmpty\n    let final = ''\n    if (this.type === '!' && this.#emptyExt) {\n      final = (this.isStart() && !dot ? startNoDot : '') + starNoEmpty\n    } else {\n      const close =\n        this.type === '!' ?\n          // !() must match something,but !(x) can match ''\n          '))' +\n          (this.isStart() && !dot && !allowDot ? startNoDot : '') +\n          star +\n          ')'\n        : this.type === '@' ? ')'\n        : this.type === '?' ? ')?'\n        : this.type === '+' && bodyDotAllowed ? ')'\n        : this.type === '*' && bodyDotAllowed ? `)?`\n        : `)${this.type}`\n      final = start + body + close\n    }\n    return [\n      final,\n      unescape(body),\n      (this.#hasMagic = !!this.#hasMagic),\n      this.#uflag,\n    ]\n  }\n\n  #flatten() {\n    if (!isExtglobAST(this)) {\n      for (const p of this.#parts) {\n        if (typeof p === 'object') {\n          p.#flatten()\n        }\n      }\n    } else {\n      // do up to 10 passes to flatten as much as possible\n      let iterations = 0\n      let done = false\n      do {\n        done = true\n        for (let i = 0; i < this.#parts.length; i++) {\n          const c = this.#parts[i]\n          if (typeof c === 'object') {\n            c.#flatten()\n            if (this.#canAdopt(c)) {\n              done = false\n              this.#adopt(c, i)\n            } else if (this.#canAdoptWithSpace(c)) {\n              done = false\n              ;(this as AST & { type: ExtglobType }).#adoptWithSpace(c, i)\n            } else if (this.#canUsurp(c)) {\n              done = false\n              ;(this as AST & { type: ExtglobType }).#usurp(c)\n            }\n          }\n        }\n      } while (!done && ++iterations < 10)\n    }\n    this.#toString = undefined\n  }\n\n  #partsToRegExp(this: AST & { type: ExtglobType }, dot: boolean) {\n    return this.#parts\n      .map(p => {\n        // extglob ASTs should only contain parent ASTs\n        /* c8 ignore start */\n        if (typeof p === 'string') {\n          throw new Error('string type in extglob ast??')\n        }\n        /* c8 ignore stop */\n        // can ignore hasMagic, because extglobs are already always magic\n        const [re, _, _hasMagic, uflag] = p.toRegExpSource(dot)\n        this.#uflag = this.#uflag || uflag\n        return re\n      })\n      .filter(p => !(this.isStart() && this.isEnd()) || !!p)\n      .join('|')\n  }\n\n  static #parseGlob(\n    glob: string,\n    hasMagic: boolean | undefined,\n    noEmpty: boolean = false,\n  ): [re: string, body: string, hasMagic: boolean, uflag: boolean] {\n    let escaping = false\n    let re = ''\n    let uflag = false\n    // multiple stars that aren't globstars coalesce into one *\n    let inStar = false\n    for (let i = 0; i < glob.length; i++) {\n      const c = glob.charAt(i)\n      if (escaping) {\n        escaping = false\n        re += (reSpecials.has(c) ? '\\\\' : '') + c\n        continue\n      }\n      if (c === '*') {\n        if (inStar) continue\n        inStar = true\n        re += noEmpty && /^[*]+$/.test(glob) ? starNoEmpty : star\n        hasMagic = true\n        continue\n      } else {\n        inStar = false\n      }\n      if (c === '\\\\') {\n        if (i === glob.length - 1) {\n          re += '\\\\\\\\'\n        } else {\n          escaping = true\n        }\n        continue\n      }\n      if (c === '[') {\n        const [src, needUflag, consumed, magic] = parseClass(glob, i)\n        if (consumed) {\n          re += src\n          uflag = uflag || needUflag\n          i += consumed - 1\n          hasMagic = hasMagic || magic\n          continue\n        }\n      }\n      if (c === '?') {\n        re += qmark\n        hasMagic = true\n        continue\n      }\n      re += regExpEscape(c)\n    }\n    return [re, unescape(glob), !!hasMagic, uflag]\n  }\n}\n", "import type { MinimatchOptions } from './index.js'\n\n/**\n * Escape all magic characters in a glob pattern.\n *\n * If the {@link MinimatchOptions.windowsPathsNoEscape}\n * option is used, then characters are escaped by wrapping in `[]`, because\n * a magic character wrapped in a character class can only be satisfied by\n * that exact character.  In this mode, `\\` is _not_ escaped, because it is\n * not interpreted as a magic character, but instead as a path separator.\n *\n * If the {@link MinimatchOptions.magicalBraces} option is used,\n * then braces (`{` and `}`) will be escaped.\n */\nexport const escape = (\n  s: string,\n  {\n    windowsPathsNoEscape = false,\n    magicalBraces = false,\n  }: Pick<MinimatchOptions, 'windowsPathsNoEscape' | 'magicalBraces'> = {},\n) => {\n  // don't need to escape +@! because we escape the parens\n  // that make those magic, and escaping ! as [!] isn't valid,\n  // because [!]] is a valid glob class meaning not ']'.\n  if (magicalBraces) {\n    return windowsPathsNoEscape ?\n        s.replace(/[?*()[\\]{}]/g, '[$&]')\n      : s.replace(/[?*()[\\]\\\\{}]/g, '\\\\$&')\n  }\n  return windowsPathsNoEscape ?\n      s.replace(/[?*()[\\]]/g, '[$&]')\n    : s.replace(/[?*()[\\]\\\\]/g, '\\\\$&')\n}\n", "import { expand } from 'brace-expansion'\nimport { assertValidPattern } from './assert-valid-pattern.js'\nimport type { ExtglobType } from './ast.js'\nimport { AST } from './ast.js'\nimport { escape } from './escape.js'\nimport { unescape } from './unescape.js'\n\nexport type Platform =\n  | 'aix'\n  | 'android'\n  | 'darwin'\n  | 'freebsd'\n  | 'haiku'\n  | 'linux'\n  | 'openbsd'\n  | 'sunos'\n  | 'win32'\n  | 'cygwin'\n  | 'netbsd'\n\nexport interface MinimatchOptions {\n  /** do not expand `{x,y}` style braces */\n  nobrace?: boolean\n  /** do not treat patterns starting with `#` as a comment */\n  nocomment?: boolean\n  /** do not treat patterns starting with `!` as a negation */\n  nonegate?: boolean\n  /** print LOTS of debugging output */\n  debug?: boolean\n  /** treat `**` the same as `*` */\n  noglobstar?: boolean\n  /** do not expand extglobs like `+(a|b)` */\n  noext?: boolean\n  /** return the pattern if nothing matches */\n  nonull?: boolean\n  /** treat `\\\\` as a path separator, not an escape character */\n  windowsPathsNoEscape?: boolean\n  /**\n   * inverse of {@link MinimatchOptions.windowsPathsNoEscape}\n   * @deprecated\n   */\n  allowWindowsEscape?: boolean\n  /**\n   * Compare a partial path to a pattern. As long as the parts\n   * of the path that are present are not contradicted by the\n   * pattern, it will be treated as a match. This is useful in\n   * applications where you're walking through a folder structure,\n   * and don't yet have the full path, but want to ensure that you\n   * do not walk down paths that can never be a match.\n   */\n  partial?: boolean\n  /** allow matches that start with `.` even if the pattern does not */\n  dot?: boolean\n  /** ignore case */\n  nocase?: boolean\n  /** ignore case only in wildcard patterns */\n  nocaseMagicOnly?: boolean\n  /** consider braces to be \"magic\" for the purpose of `hasMagic` */\n  magicalBraces?: boolean\n  /**\n   * If set, then patterns without slashes will be matched\n   * against the basename of the path if it contains slashes.\n   * For example, `a?b` would match the path `/xyz/123/acb`, but\n   * not `/xyz/acb/123`.\n   */\n  matchBase?: boolean\n  /** invert the results of negated matches */\n  flipNegate?: boolean\n  /** do not collapse multiple `/` into a single `/` */\n  preserveMultipleSlashes?: boolean\n  /**\n   * A number indicating the level of optimization that should be done\n   * to the pattern prior to parsing and using it for matches.\n   */\n  optimizationLevel?: number\n  /** operating system platform */\n  platform?: Platform\n  /**\n   * When a pattern starts with a UNC path or drive letter, and in\n   * `nocase:true` mode, do not convert the root portions of the\n   * pattern into a case-insensitive regular expression, and instead\n   * leave them as strings.\n   *\n   * This is the default when the platform is `win32` and\n   * `nocase:true` is set.\n   */\n  windowsNoMagicRoot?: boolean\n  /**\n   * max number of `{...}` patterns to expand. Default 100_000.\n   */\n  braceExpandMax?: number\n  /**\n   * Max number of non-adjacent `**` patterns to recursively walk down.\n   *\n   * The default of 200 is almost certainly high enough for most purposes,\n   * and can handle absurdly excessive patterns.\n   */\n  maxGlobstarRecursion?: number\n\n  /**\n   * Max depth to traverse for nested extglobs like `*(a|b|c)`\n   *\n   * Default is 2, which is quite low, but any higher value\n   * swiftly results in punishing performance impacts. Note\n   * that this is *not*  relevant when the globstar types can\n   * be safely coalesced into a single set.\n   *\n   * For example, `*(a|@(b|c)|d)` would be flattened into\n   * `*(a|b|c|d)`. Thus, many common extglobs will retain good\n   * performance and  never hit this limit, even if they are\n   * excessively deep and complicated.\n   *\n   * If the limit is hit, then the extglob characters are simply\n   * not parsed, and the pattern effectively switches into\n   * `noextglob: true` mode for the contents of that nested\n   * sub-pattern. This will typically _not_ result in a match,\n   * but is considered a valid trade-off for security and\n   * performance.\n   */\n  maxExtglobRecursion?: number\n}\n\nexport const minimatch = (\n  p: string,\n  pattern: string,\n  options: MinimatchOptions = {},\n) => {\n  assertValidPattern(pattern)\n\n  // shortcut: comments match nothing.\n  if (!options.nocomment && pattern.charAt(0) === '#') {\n    return false\n  }\n\n  return new Minimatch(pattern, options).match(p)\n}\n\n// Optimized checking for the most common glob patterns.\nconst starDotExtRE = /^\\*+([^+@!?*[(]*)$/\nconst starDotExtTest = (ext: string) => (f: string) =>\n  !f.startsWith('.') && f.endsWith(ext)\nconst starDotExtTestDot = (ext: string) => (f: string) => f.endsWith(ext)\nconst starDotExtTestNocase = (ext: string) => {\n  ext = ext.toLowerCase()\n  return (f: string) => !f.startsWith('.') && f.toLowerCase().endsWith(ext)\n}\nconst starDotExtTestNocaseDot = (ext: string) => {\n  ext = ext.toLowerCase()\n  return (f: string) => f.toLowerCase().endsWith(ext)\n}\nconst starDotStarRE = /^\\*+\\.\\*+$/\nconst starDotStarTest = (f: string) =>\n  !f.startsWith('.') && f.includes('.')\nconst starDotStarTestDot = (f: string) =>\n  f !== '.' && f !== '..' && f.includes('.')\nconst dotStarRE = /^\\.\\*+$/\nconst dotStarTest = (f: string) =>\n  f !== '.' && f !== '..' && f.startsWith('.')\nconst starRE = /^\\*+$/\nconst starTest = (f: string) => f.length !== 0 && !f.startsWith('.')\nconst starTestDot = (f: string) =>\n  f.length !== 0 && f !== '.' && f !== '..'\nconst qmarksRE = /^\\?+([^+@!?*[(]*)?$/\nconst qmarksTestNocase = ([$0, ext = '']: RegExpMatchArray) => {\n  const noext = qmarksTestNoExt([$0])\n  if (!ext) return noext\n  ext = ext.toLowerCase()\n  return (f: string) => noext(f) && f.toLowerCase().endsWith(ext)\n}\nconst qmarksTestNocaseDot = ([$0, ext = '']: RegExpMatchArray) => {\n  const noext = qmarksTestNoExtDot([$0])\n  if (!ext) return noext\n  ext = ext.toLowerCase()\n  return (f: string) => noext(f) && f.toLowerCase().endsWith(ext)\n}\nconst qmarksTestDot = ([$0, ext = '']: RegExpMatchArray) => {\n  const noext = qmarksTestNoExtDot([$0])\n  return !ext ? noext : (f: string) => noext(f) && f.endsWith(ext)\n}\nconst qmarksTest = ([$0, ext = '']: RegExpMatchArray) => {\n  const noext = qmarksTestNoExt([$0])\n  return !ext ? noext : (f: string) => noext(f) && f.endsWith(ext)\n}\nconst qmarksTestNoExt = ([$0]: RegExpMatchArray) => {\n  const len = $0.length\n  return (f: string) => f.length === len && !f.startsWith('.')\n}\nconst qmarksTestNoExtDot = ([$0]: RegExpMatchArray) => {\n  const len = $0.length\n  return (f: string) => f.length === len && f !== '.' && f !== '..'\n}\n\n/* c8 ignore start */\nconst defaultPlatform: Platform = (\n  typeof process === 'object' && process ?\n    (typeof process.env === 'object' &&\n      process.env &&\n      process.env.__MINIMATCH_TESTING_PLATFORM__) ||\n    process.platform\n  : 'posix') as Platform\n\nexport type Sep = '\\\\' | '/'\n\nconst path: { [k: string]: { sep: Sep } } = {\n  win32: { sep: '\\\\' },\n  posix: { sep: '/' },\n}\n/* c8 ignore stop */\n\nexport const sep =\n  defaultPlatform === 'win32' ? path.win32.sep : path.posix.sep\nminimatch.sep = sep\n\nexport const GLOBSTAR = Symbol('globstar **')\nminimatch.GLOBSTAR = GLOBSTAR\n\n// any single thing other than /\n// don't need to escape / when using new RegExp()\nconst qmark = '[^/]'\n\n// * => any number of characters\nconst star = qmark + '*?'\n\n// ** when dots are allowed.  Anything goes, except .. and .\n// not (^ or / followed by one or two dots followed by $ or /),\n// followed by anything, any number of times.\nconst twoStarDot = '(?:(?!(?:\\\\/|^)(?:\\\\.{1,2})($|\\\\/)).)*?'\n\n// not a ^ or / followed by a dot,\n// followed by anything, any number of times.\nconst twoStarNoDot = '(?:(?!(?:\\\\/|^)\\\\.).)*?'\n\nexport const filter =\n  (pattern: string, options: MinimatchOptions = {}) =>\n  (p: string) =>\n    minimatch(p, pattern, options)\nminimatch.filter = filter\n\nconst ext = (a: MinimatchOptions, b: MinimatchOptions = {}) =>\n  Object.assign({}, a, b)\n\nexport const defaults = (def: MinimatchOptions): typeof minimatch => {\n  if (!def || typeof def !== 'object' || !Object.keys(def).length) {\n    return minimatch\n  }\n\n  const orig = minimatch\n\n  const m = (p: string, pattern: string, options: MinimatchOptions = {}) =>\n    orig(p, pattern, ext(def, options))\n\n  return Object.assign(m, {\n    Minimatch: class Minimatch extends orig.Minimatch {\n      constructor(pattern: string, options: MinimatchOptions = {}) {\n        super(pattern, ext(def, options))\n      }\n      static defaults(options: MinimatchOptions) {\n        return orig.defaults(ext(def, options)).Minimatch\n      }\n    },\n\n    AST: class AST extends orig.AST {\n      /* c8 ignore start */\n      constructor(\n        type: ExtglobType | null,\n        parent?: AST,\n        options: MinimatchOptions = {},\n      ) {\n        super(type, parent, ext(def, options))\n      }\n      /* c8 ignore stop */\n\n      static fromGlob(pattern: string, options: MinimatchOptions = {}) {\n        return orig.AST.fromGlob(pattern, ext(def, options))\n      }\n    },\n\n    unescape: (\n      s: string,\n      options: Pick<\n        MinimatchOptions,\n        'windowsPathsNoEscape' | 'magicalBraces'\n      > = {},\n    ) => orig.unescape(s, ext(def, options)),\n\n    escape: (\n      s: string,\n      options: Pick<\n        MinimatchOptions,\n        'windowsPathsNoEscape' | 'magicalBraces'\n      > = {},\n    ) => orig.escape(s, ext(def, options)),\n\n    filter: (pattern: string, options: MinimatchOptions = {}) =>\n      orig.filter(pattern, ext(def, options)),\n\n    defaults: (options: MinimatchOptions) =>\n      orig.defaults(ext(def, options)),\n\n    makeRe: (pattern: string, options: MinimatchOptions = {}) =>\n      orig.makeRe(pattern, ext(def, options)),\n\n    braceExpand: (pattern: string, options: MinimatchOptions = {}) =>\n      orig.braceExpand(pattern, ext(def, options)),\n\n    match: (\n      list: string[],\n      pattern: string,\n      options: MinimatchOptions = {},\n    ) => orig.match(list, pattern, ext(def, options)),\n\n    sep: orig.sep,\n    GLOBSTAR: GLOBSTAR as typeof GLOBSTAR,\n  })\n}\nminimatch.defaults = defaults\n\n// Brace expansion:\n// a{b,c}d -> abd acd\n// a{b,}c -> abc ac\n// a{0..3}d -> a0d a1d a2d a3d\n// a{b,c{d,e}f}g -> abg acdfg acefg\n// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg\n//\n// Invalid sets are not expanded.\n// a{2..}b -> a{2..}b\n// a{b}c -> a{b}c\nexport const braceExpand = (\n  pattern: string,\n  options: MinimatchOptions = {},\n) => {\n  assertValidPattern(pattern)\n\n  // Thanks to Yeting Li <https://github.com/yetingli> for\n  // improving this regexp to avoid a ReDOS vulnerability.\n  if (options.nobrace || !/\\{(?:(?!\\{).)*\\}/.test(pattern)) {\n    // shortcut. no need to expand.\n    return [pattern]\n  }\n\n  return expand(pattern, { max: options.braceExpandMax })\n}\nminimatch.braceExpand = braceExpand\n\n// parse a component of the expanded set.\n// At this point, no pattern may contain \"/\" in it\n// so we're going to return a 2d array, where each entry is the full\n// pattern, split on '/', and then turned into a regular expression.\n// A regexp is made at the end which joins each array with an\n// escaped /, and another full one which joins each regexp with |.\n//\n// Following the lead of Bash 4.1, note that \"**\" only has special meaning\n// when it is the *only* thing in a path portion.  Otherwise, any series\n// of * is equivalent to a single *.  Globstar behavior is enabled by\n// default, and can be disabled by setting options.noglobstar.\n\nexport const makeRe = (pattern: string, options: MinimatchOptions = {}) =>\n  new Minimatch(pattern, options).makeRe()\nminimatch.makeRe = makeRe\n\nexport const match = (\n  list: string[],\n  pattern: string,\n  options: MinimatchOptions = {},\n) => {\n  const mm = new Minimatch(pattern, options)\n  list = list.filter(f => mm.match(f))\n  if (mm.options.nonull && !list.length) {\n    list.push(pattern)\n  }\n  return list\n}\nminimatch.match = match\n\n// replace stuff like \\* with *\nconst globMagic = /[?*]|[+@!]\\(.*?\\)|\\[|\\]/\nconst regExpEscape = (s: string) =>\n  s.replace(/[-[\\]{}()*+?.,\\\\^$|#\\s]/g, '\\\\$&')\n\nexport type MMRegExp = RegExp & {\n  _src?: string\n  _glob?: string\n}\n\nexport type ParseReturnFiltered = string | MMRegExp | typeof GLOBSTAR\nexport type ParseReturn = ParseReturnFiltered | false\n\nexport class Minimatch {\n  options: MinimatchOptions\n  set: ParseReturnFiltered[][]\n  pattern: string\n\n  windowsPathsNoEscape: boolean\n  nonegate: boolean\n  negate: boolean\n  comment: boolean\n  empty: boolean\n  preserveMultipleSlashes: boolean\n  partial: boolean\n  globSet: string[]\n  globParts: string[][]\n  nocase: boolean\n\n  isWindows: boolean\n  platform: Platform\n  windowsNoMagicRoot: boolean\n  maxGlobstarRecursion: number\n\n  regexp: false | null | MMRegExp\n  constructor(pattern: string, options: MinimatchOptions = {}) {\n    assertValidPattern(pattern)\n\n    options = options || {}\n    this.options = options\n    this.maxGlobstarRecursion = options.maxGlobstarRecursion ?? 200\n    this.pattern = pattern\n    this.platform = options.platform || defaultPlatform\n    this.isWindows = this.platform === 'win32'\n    // avoid the annoying deprecation flag lol\n    const awe = ('allowWindow' + 'sEscape') as keyof MinimatchOptions\n    this.windowsPathsNoEscape =\n      !!options.windowsPathsNoEscape || options[awe] === false\n    if (this.windowsPathsNoEscape) {\n      this.pattern = this.pattern.replace(/\\\\/g, '/')\n    }\n    this.preserveMultipleSlashes = !!options.preserveMultipleSlashes\n    this.regexp = null\n    this.negate = false\n    this.nonegate = !!options.nonegate\n    this.comment = false\n    this.empty = false\n    this.partial = !!options.partial\n    this.nocase = !!this.options.nocase\n    this.windowsNoMagicRoot =\n      options.windowsNoMagicRoot !== undefined ?\n        options.windowsNoMagicRoot\n      : !!(this.isWindows && this.nocase)\n\n    this.globSet = []\n    this.globParts = []\n    this.set = []\n\n    // make the set of regexps etc.\n    this.make()\n  }\n\n  hasMagic(): boolean {\n    if (this.options.magicalBraces && this.set.length > 1) {\n      return true\n    }\n    for (const pattern of this.set) {\n      for (const part of pattern) {\n        if (typeof part !== 'string') return true\n      }\n    }\n    return false\n  }\n\n  debug(..._: unknown[]) {}\n\n  make() {\n    const pattern = this.pattern\n    const options = this.options\n\n    // empty patterns and comments match nothing.\n    if (!options.nocomment && pattern.charAt(0) === '#') {\n      this.comment = true\n      return\n    }\n\n    if (!pattern) {\n      this.empty = true\n      return\n    }\n\n    // step 1: figure out negation, etc.\n    this.parseNegate()\n\n    // step 2: expand braces\n    this.globSet = [...new Set(this.braceExpand())]\n\n    if (options.debug) {\n      //oxlint-disable-next-line no-console\n      this.debug = (...args: unknown[]) => console.error(...args)\n    }\n\n    this.debug(this.pattern, this.globSet)\n\n    // step 3: now we have a set, so turn each one into a series of\n    // path-portion matching patterns.\n    // These will be regexps, except in the case of \"**\", which is\n    // set to the GLOBSTAR object for globstar behavior,\n    // and will not contain any / characters\n    //\n    // First, we preprocess to make the glob pattern sets a bit simpler\n    // and deduped.  There are some perf-killing patterns that can cause\n    // problems with a glob walk, but we can simplify them down a bit.\n    const rawGlobParts = this.globSet.map(s => this.slashSplit(s))\n    this.globParts = this.preprocess(rawGlobParts)\n    this.debug(this.pattern, this.globParts)\n\n    // glob --> regexps\n    let set = this.globParts.map((s, _, __) => {\n      if (this.isWindows && this.windowsNoMagicRoot) {\n        // check if it's a drive or unc path.\n        const isUNC =\n          s[0] === '' &&\n          s[1] === '' &&\n          (s[2] === '?' || !globMagic.test(s[2])) &&\n          !globMagic.test(s[3])\n        const isDrive = /^[a-z]:/i.test(s[0])\n        if (isUNC) {\n          return [\n            ...s.slice(0, 4),\n            ...s.slice(4).map(ss => this.parse(ss)),\n          ]\n        } else if (isDrive) {\n          return [s[0], ...s.slice(1).map(ss => this.parse(ss))]\n        }\n      }\n      return s.map(ss => this.parse(ss))\n    })\n\n    this.debug(this.pattern, set)\n\n    // filter out everything that didn't compile properly.\n    this.set = set.filter(\n      s => s.indexOf(false) === -1,\n    ) as ParseReturnFiltered[][]\n\n    // do not treat the ? in UNC paths as magic\n    if (this.isWindows) {\n      for (let i = 0; i < this.set.length; i++) {\n        const p = this.set[i]\n        if (\n          p[0] === '' &&\n          p[1] === '' &&\n          this.globParts[i][2] === '?' &&\n          typeof p[3] === 'string' &&\n          /^[a-z]:$/i.test(p[3])\n        ) {\n          p[2] = '?'\n        }\n      }\n    }\n\n    this.debug(this.pattern, this.set)\n  }\n\n  // various transforms to equivalent pattern sets that are\n  // faster to process in a filesystem walk.  The goal is to\n  // eliminate what we can, and push all ** patterns as far\n  // to the right as possible, even if it increases the number\n  // of patterns that we have to process.\n  preprocess(globParts: string[][]) {\n    // if we're not in globstar mode, then turn ** into *\n    if (this.options.noglobstar) {\n      for (const partset of globParts) {\n        for (let j = 0; j < partset.length; j++) {\n          if (partset[j] === '**') {\n            partset[j] = '*'\n          }\n        }\n      }\n    }\n\n    const { optimizationLevel = 1 } = this.options\n\n    if (optimizationLevel >= 2) {\n      // aggressive optimization for the purpose of fs walking\n      globParts = this.firstPhasePreProcess(globParts)\n      globParts = this.secondPhasePreProcess(globParts)\n    } else if (optimizationLevel >= 1) {\n      // just basic optimizations to remove some .. parts\n      globParts = this.levelOneOptimize(globParts)\n    } else {\n      // just collapse multiple ** portions into one\n      globParts = this.adjascentGlobstarOptimize(globParts)\n    }\n\n    return globParts\n  }\n\n  // just get rid of adjascent ** portions\n  adjascentGlobstarOptimize(globParts: string[][]) {\n    return globParts.map(parts => {\n      let gs: number = -1\n      while (-1 !== (gs = parts.indexOf('**', gs + 1))) {\n        let i = gs\n        while (parts[i + 1] === '**') {\n          i++\n        }\n        if (i !== gs) {\n          parts.splice(gs, i - gs)\n        }\n      }\n      return parts\n    })\n  }\n\n  // get rid of adjascent ** and resolve .. portions\n  levelOneOptimize(globParts: string[][]) {\n    return globParts.map(parts => {\n      parts = parts.reduce((set: string[], part) => {\n        const prev = set[set.length - 1]\n        if (part === '**' && prev === '**') {\n          return set\n        }\n        if (part === '..') {\n          if (prev && prev !== '..' && prev !== '.' && prev !== '**') {\n            set.pop()\n            return set\n          }\n        }\n        set.push(part)\n        return set\n      }, [])\n      return parts.length === 0 ? [''] : parts\n    })\n  }\n\n  levelTwoFileOptimize(parts: string | string[]) {\n    if (!Array.isArray(parts)) {\n      parts = this.slashSplit(parts)\n    }\n    let didSomething: boolean = false\n\n    do {\n      didSomething = false\n      // <pre>/<e>/<rest> -> <pre>/<rest>\n      if (!this.preserveMultipleSlashes) {\n        for (let i = 1; i < parts.length - 1; i++) {\n          const p = parts[i]\n          // don't squeeze out UNC patterns\n          if (i === 1 && p === '' && parts[0] === '') continue\n          if (p === '.' || p === '') {\n            didSomething = true\n            parts.splice(i, 1)\n            i--\n          }\n        }\n        if (\n          parts[0] === '.' &&\n          parts.length === 2 &&\n          (parts[1] === '.' || parts[1] === '')\n        ) {\n          didSomething = true\n          parts.pop()\n        }\n      }\n\n      // <pre>/<p>/../<rest> -> <pre>/<rest>\n      let dd: number = 0\n      while (-1 !== (dd = parts.indexOf('..', dd + 1))) {\n        const p = parts[dd - 1]\n        if (\n          p &&\n          p !== '.' &&\n          p !== '..' &&\n          p !== '**' &&\n          !(this.isWindows && /^[a-z]:$/i.test(p))\n        ) {\n          didSomething = true\n          parts.splice(dd - 1, 2)\n          dd -= 2\n        }\n      }\n    } while (didSomething)\n    return parts.length === 0 ? [''] : parts\n  }\n\n  // First phase: single-pattern processing\n  // <pre> is 1 or more portions\n  // <rest> is 1 or more portions\n  // <p> is any portion other than ., .., '', or **\n  // <e> is . or ''\n  //\n  // **/.. is *brutal* for filesystem walking performance, because\n  // it effectively resets the recursive walk each time it occurs,\n  // and ** cannot be reduced out by a .. pattern part like a regexp\n  // or most strings (other than .., ., and '') can be.\n  //\n  // <pre>/**/../<p>/<p>/<rest> -> {<pre>/../<p>/<p>/<rest>,<pre>/**/<p>/<p>/<rest>}\n  // <pre>/<e>/<rest> -> <pre>/<rest>\n  // <pre>/<p>/../<rest> -> <pre>/<rest>\n  // **/**/<rest> -> **/<rest>\n  //\n  // **/*/<rest> -> */**/<rest> <== not valid because ** doesn't follow\n  // this WOULD be allowed if ** did follow symlinks, or * didn't\n  firstPhasePreProcess(globParts: string[][]) {\n    let didSomething = false\n    do {\n      didSomething = false\n      // <pre>/**/../<p>/<p>/<rest> -> {<pre>/../<p>/<p>/<rest>,<pre>/**/<p>/<p>/<rest>}\n      for (let parts of globParts) {\n        let gs: number = -1\n        while (-1 !== (gs = parts.indexOf('**', gs + 1))) {\n          let gss: number = gs\n          while (parts[gss + 1] === '**') {\n            // <pre>/**/**/<rest> -> <pre>/**/<rest>\n            gss++\n          }\n          // eg, if gs is 2 and gss is 4, that means we have 3 **\n          // parts, and can remove 2 of them.\n          if (gss > gs) {\n            parts.splice(gs + 1, gss - gs)\n          }\n\n          let next = parts[gs + 1]\n          const p = parts[gs + 2]\n          const p2 = parts[gs + 3]\n          if (next !== '..') continue\n          if (\n            !p ||\n            p === '.' ||\n            p === '..' ||\n            !p2 ||\n            p2 === '.' ||\n            p2 === '..'\n          ) {\n            continue\n          }\n          didSomething = true\n          // edit parts in place, and push the new one\n          parts.splice(gs, 1)\n          const other = parts.slice(0)\n          other[gs] = '**'\n          globParts.push(other)\n          gs--\n        }\n\n        // <pre>/<e>/<rest> -> <pre>/<rest>\n        if (!this.preserveMultipleSlashes) {\n          for (let i = 1; i < parts.length - 1; i++) {\n            const p = parts[i]\n            // don't squeeze out UNC patterns\n            if (i === 1 && p === '' && parts[0] === '') continue\n            if (p === '.' || p === '') {\n              didSomething = true\n              parts.splice(i, 1)\n              i--\n            }\n          }\n          if (\n            parts[0] === '.' &&\n            parts.length === 2 &&\n            (parts[1] === '.' || parts[1] === '')\n          ) {\n            didSomething = true\n            parts.pop()\n          }\n        }\n\n        // <pre>/<p>/../<rest> -> <pre>/<rest>\n        let dd: number = 0\n        while (-1 !== (dd = parts.indexOf('..', dd + 1))) {\n          const p = parts[dd - 1]\n          if (p && p !== '.' && p !== '..' && p !== '**') {\n            didSomething = true\n            const needDot = dd === 1 && parts[dd + 1] === '**'\n            const splin = needDot ? ['.'] : []\n            parts.splice(dd - 1, 2, ...splin)\n            if (parts.length === 0) parts.push('')\n            dd -= 2\n          }\n        }\n      }\n    } while (didSomething)\n\n    return globParts\n  }\n\n  // second phase: multi-pattern dedupes\n  // {<pre>/*/<rest>,<pre>/<p>/<rest>} -> <pre>/*/<rest>\n  // {<pre>/<rest>,<pre>/<rest>} -> <pre>/<rest>\n  // {<pre>/**/<rest>,<pre>/<rest>} -> <pre>/**/<rest>\n  //\n  // {<pre>/**/<rest>,<pre>/**/<p>/<rest>} -> <pre>/**/<rest>\n  // ^-- not valid because ** doens't follow symlinks\n  secondPhasePreProcess(globParts: string[][]): string[][] {\n    for (let i = 0; i < globParts.length - 1; i++) {\n      for (let j = i + 1; j < globParts.length; j++) {\n        const matched = this.partsMatch(\n          globParts[i],\n          globParts[j],\n          !this.preserveMultipleSlashes,\n        )\n        if (matched) {\n          globParts[i] = []\n          globParts[j] = matched\n          break\n        }\n      }\n    }\n    return globParts.filter(gs => gs.length)\n  }\n\n  partsMatch(\n    a: string[],\n    b: string[],\n    emptyGSMatch: boolean = false,\n  ): false | string[] {\n    let ai = 0\n    let bi = 0\n    let result: string[] = []\n    let which: string = ''\n    while (ai < a.length && bi < b.length) {\n      if (a[ai] === b[bi]) {\n        result.push(which === 'b' ? b[bi] : a[ai])\n        ai++\n        bi++\n      } else if (emptyGSMatch && a[ai] === '**' && b[bi] === a[ai + 1]) {\n        result.push(a[ai])\n        ai++\n      } else if (emptyGSMatch && b[bi] === '**' && a[ai] === b[bi + 1]) {\n        result.push(b[bi])\n        bi++\n      } else if (\n        a[ai] === '*' &&\n        b[bi] &&\n        (this.options.dot || !b[bi].startsWith('.')) &&\n        b[bi] !== '**'\n      ) {\n        if (which === 'b') return false\n        which = 'a'\n        result.push(a[ai])\n        ai++\n        bi++\n      } else if (\n        b[bi] === '*' &&\n        a[ai] &&\n        (this.options.dot || !a[ai].startsWith('.')) &&\n        a[ai] !== '**'\n      ) {\n        if (which === 'a') return false\n        which = 'b'\n        result.push(b[bi])\n        ai++\n        bi++\n      } else {\n        return false\n      }\n    }\n    // if we fall out of the loop, it means they two are identical\n    // as long as their lengths match\n    return a.length === b.length && result\n  }\n\n  parseNegate() {\n    if (this.nonegate) return\n\n    const pattern = this.pattern\n    let negate = false\n    let negateOffset = 0\n\n    for (let i = 0; i < pattern.length && pattern.charAt(i) === '!'; i++) {\n      negate = !negate\n      negateOffset++\n    }\n\n    if (negateOffset) this.pattern = pattern.slice(negateOffset)\n    this.negate = negate\n  }\n\n  // set partial to true to test if, for example,\n  // \"/a/b\" matches the start of \"/*/b/*/d\"\n  // Partial means, if you run out of file before you run\n  // out of pattern, then that's fine, as long as all\n  // the parts match.\n  matchOne(\n    file: string[],\n    pattern: ParseReturn[],\n    partial: boolean = false,\n  ) {\n    let fileStartIndex = 0\n    let patternStartIndex = 0\n\n    // UNC paths like //?/X:/... can match X:/... and vice versa\n    // Drive letters in absolute drive or unc paths are always compared\n    // case-insensitively.\n    if (this.isWindows) {\n      const fileDrive =\n        typeof file[0] === 'string' && /^[a-z]:$/i.test(file[0])\n      const fileUNC =\n        !fileDrive &&\n        file[0] === '' &&\n        file[1] === '' &&\n        file[2] === '?' &&\n        /^[a-z]:$/i.test(file[3])\n\n      const patternDrive =\n        typeof pattern[0] === 'string' && /^[a-z]:$/i.test(pattern[0])\n      const patternUNC =\n        !patternDrive &&\n        pattern[0] === '' &&\n        pattern[1] === '' &&\n        pattern[2] === '?' &&\n        typeof pattern[3] === 'string' &&\n        /^[a-z]:$/i.test(pattern[3])\n\n      const fdi =\n        fileUNC ? 3\n        : fileDrive ? 0\n        : undefined\n      const pdi =\n        patternUNC ? 3\n        : patternDrive ? 0\n        : undefined\n      if (typeof fdi === 'number' && typeof pdi === 'number') {\n        const [fd, pd]: [string, string] = [\n          file[fdi],\n          pattern[pdi] as string,\n        ]\n        // start matching at the drive letter index of each\n        if (fd.toLowerCase() === pd.toLowerCase()) {\n          pattern[pdi] = fd\n          patternStartIndex = pdi\n          fileStartIndex = fdi\n        }\n      }\n    }\n\n    // resolve and reduce . and .. portions in the file as well.\n    // don't need to do the second phase, because it's only one string[]\n    const { optimizationLevel = 1 } = this.options\n    if (optimizationLevel >= 2) {\n      file = this.levelTwoFileOptimize(file)\n    }\n\n    if (pattern.includes(GLOBSTAR)) {\n      return this.#matchGlobstar(\n        file,\n        pattern,\n        partial,\n        fileStartIndex,\n        patternStartIndex,\n      )\n    }\n\n    return this.#matchOne(\n      file,\n      pattern,\n      partial,\n      fileStartIndex,\n      patternStartIndex,\n    )\n  }\n\n  #matchGlobstar(\n    file: string[],\n    pattern: ParseReturn[],\n    partial: boolean,\n    fileIndex: number,\n    patternIndex: number,\n  ) {\n    // split the pattern into head, tail, and middle of ** delimited parts\n    const firstgs = pattern.indexOf(GLOBSTAR, patternIndex)\n    const lastgs = pattern.lastIndexOf(GLOBSTAR)\n\n    // split the pattern up into globstar-delimited sections\n    // the tail has to be at the end, and the others just have\n    // to be found in order from the head.\n    const [head, body, tail] =\n      partial ?\n        [\n          pattern.slice(patternIndex, firstgs),\n          pattern.slice(firstgs + 1),\n          [],\n        ]\n      : [\n          pattern.slice(patternIndex, firstgs),\n          pattern.slice(firstgs + 1, lastgs),\n          pattern.slice(lastgs + 1),\n        ]\n\n    // check the head, from the current file/pattern index.\n    if (head.length) {\n      const fileHead = file.slice(fileIndex, fileIndex + head.length)\n      if (!this.#matchOne(fileHead, head, partial, 0, 0)) {\n        return false\n      }\n      fileIndex += head.length\n      patternIndex += head.length\n    }\n    // now we know the head matches!\n\n    // if the last portion is not empty, it MUST match the end\n    // check the tail\n    let fileTailMatch: number = 0\n    if (tail.length) {\n      // if head + tail > file, then we cannot possibly match\n      if (tail.length + fileIndex > file.length) return false\n\n      // try to match the tail\n      let tailStart = file.length - tail.length\n      if (this.#matchOne(file, tail, partial, tailStart, 0)) {\n        fileTailMatch = tail.length\n      } else {\n        // affordance for stuff like a/**/* matching a/b/\n        // if the last file portion is '', and there's more to the pattern\n        // then try without the '' bit.\n        if (\n          file[file.length - 1] !== '' ||\n          fileIndex + tail.length === file.length\n        ) {\n          return false\n        }\n        tailStart--\n        if (!this.#matchOne(file, tail, partial, tailStart, 0)) {\n          return false\n        }\n        fileTailMatch = tail.length + 1\n      }\n    }\n\n    // now we know the tail matches!\n\n    // the middle is zero or more portions wrapped in **, possibly\n    // containing more ** sections.\n    // so a/**/b/**/c/**/d has become **/b/**/c/**\n    // if it's empty, it means a/**/b, just verify we have no bad dots\n    // if there's no tail, so it ends on /**, then we must have *something*\n    // after the head, or it's not a matc\n    if (!body.length) {\n      let sawSome = !!fileTailMatch\n      for (let i = fileIndex; i < file.length - fileTailMatch; i++) {\n        const f = String(file[i])\n        sawSome = true\n        if (\n          f === '.' ||\n          f === '..' ||\n          (!this.options.dot && f.startsWith('.'))\n        ) {\n          return false\n        }\n      }\n      // in partial mode, we just need to get past all file parts\n      return partial || sawSome\n    }\n\n    // now we know that there's one or more body sections, which can\n    // be matched anywhere from the 0 index (because the head was pruned)\n    // through to the length-fileTailMatch index.\n    // split the body up into sections, and note the minimum index it can\n    // be found at (start with the length of all previous segments)\n    // [section, before, after]\n    const bodySegments: [ParseReturn[], number][] = [[[], 0]]\n    let currentBody: [ParseReturn[], number] = bodySegments[0]\n    let nonGsParts = 0\n    const nonGsPartsSums: number[] = [0]\n    for (const b of body) {\n      if (b === GLOBSTAR) {\n        nonGsPartsSums.push(nonGsParts)\n        currentBody = [[], 0]\n        bodySegments.push(currentBody)\n      } else {\n        currentBody[0].push(b)\n        nonGsParts++\n      }\n    }\n    let i = bodySegments.length - 1\n    const fileLength = file.length - fileTailMatch\n    for (const b of bodySegments) {\n      b[1] = fileLength - ((nonGsPartsSums[i--] as number) + b[0].length)\n    }\n\n    return !!this.#matchGlobStarBodySections(\n      file,\n      bodySegments,\n      fileIndex,\n      0,\n      partial,\n      0,\n      !!fileTailMatch,\n    )\n  }\n\n  // return false for \"nope, not matching\"\n  // return null for \"not matching, cannot keep trying\"\n  #matchGlobStarBodySections(\n    file: string[],\n    // pattern section, last possible position for it\n    bodySegments: [ParseReturn[], number][],\n    fileIndex: number,\n    bodyIndex: number,\n    partial: boolean,\n    globStarDepth: number,\n    sawTail: boolean,\n  ): boolean | null {\n    // take the first body segment, and walk from fileIndex to its \"after\"\n    // value at the end\n    // If it doesn't match at that position, we increment, until we hit\n    // that final possible position, and give up.\n    // If it does match, then advance and try to rest.\n    // If any of them fail we keep walking forward.\n    // this is still a bit recursively painful, but it's more constrained\n    // than previous implementations, because we never test something that\n    // can't possibly be a valid matching condition.\n    const bs = bodySegments[bodyIndex]\n    if (!bs) {\n      // just make sure that there's no bad dots\n      for (let i = fileIndex; i < file.length; i++) {\n        sawTail = true\n        const f = file[i]\n        if (\n          f === '.' ||\n          f === '..' ||\n          (!this.options.dot && f.startsWith('.'))\n        ) {\n          return false\n        }\n      }\n      return sawTail\n    }\n\n    // have a non-globstar body section to test\n    const [body, after] = bs\n    while (fileIndex <= after) {\n      const m = this.#matchOne(\n        file.slice(0, fileIndex + body.length),\n        body,\n        partial,\n        fileIndex,\n        0,\n      )\n      // if limit exceeded, no match. intentional false negative,\n      // acceptable break in correctness for security.\n      if (m && globStarDepth < this.maxGlobstarRecursion) {\n        // match! see if the rest match. if so, we're done!\n        const sub = this.#matchGlobStarBodySections(\n          file,\n          bodySegments,\n          fileIndex + body.length,\n          bodyIndex + 1,\n          partial,\n          globStarDepth + 1,\n          sawTail,\n        )\n        if (sub !== false) {\n          return sub\n        }\n      }\n      const f = file[fileIndex]\n      if (\n        f === '.' ||\n        f === '..' ||\n        (!this.options.dot && f.startsWith('.'))\n      ) {\n        return false\n      }\n\n      fileIndex++\n    }\n    // walked off. no point continuing\n    return partial || null\n  }\n\n  #matchOne(\n    file: string[],\n    pattern: ParseReturn[],\n    partial: boolean,\n    fileIndex: number,\n    patternIndex: number,\n  ) {\n    let fi: number\n    let pi: number\n    let pl: number\n    let fl: number\n    for (\n      fi = fileIndex,\n        pi = patternIndex,\n        fl = file.length,\n        pl = pattern.length;\n      fi < fl && pi < pl;\n      fi++, pi++\n    ) {\n      this.debug('matchOne loop')\n      let p = pattern[pi]\n      let f = file[fi]\n\n      this.debug(pattern, p, f)\n\n      // should be impossible.\n      // some invalid regexp stuff in the set.\n      /* c8 ignore start */\n      if (p === false || p === GLOBSTAR) {\n        return false\n      }\n      /* c8 ignore stop */\n\n      // something other than **\n      // non-magic patterns just have to match exactly\n      // patterns with magic have been turned into regexps.\n      let hit: boolean\n      if (typeof p === 'string') {\n        hit = f === p\n        this.debug('string match', p, f, hit)\n      } else {\n        hit = p.test(f)\n        this.debug('pattern match', p, f, hit)\n      }\n\n      if (!hit) return false\n    }\n\n    // Note: ending in / means that we'll get a final \"\"\n    // at the end of the pattern.  This can only match a\n    // corresponding \"\" at the end of the file.\n    // If the file ends in /, then it can only match a\n    // a pattern that ends in /, unless the pattern just\n    // doesn't have any more for it. But, a/b/ should *not*\n    // match \"a/b/*\", even though \"\" matches against the\n    // [^/]*? pattern, except in partial mode, where it might\n    // simply not be reached yet.\n    // However, a/b/ should still satisfy a/*\n\n    // now either we fell off the end of the pattern, or we're done.\n    if (fi === fl && pi === pl) {\n      // ran out of pattern and filename at the same time.\n      // an exact hit!\n      return true\n    } else if (fi === fl) {\n      // ran out of file, but still had pattern left.\n      // this is ok if we're doing the match as part of\n      // a glob fs traversal.\n      return partial\n    } else if (pi === pl) {\n      // ran out of pattern, still have file left.\n      // this is only acceptable if we're on the very last\n      // empty segment of a file with a trailing slash.\n      // a/* should match a/b/\n      return fi === fl - 1 && file[fi] === ''\n\n      /* c8 ignore start */\n    } else {\n      // should be unreachable.\n      throw new Error('wtf?')\n    }\n    /* c8 ignore stop */\n  }\n\n  braceExpand() {\n    return braceExpand(this.pattern, this.options)\n  }\n\n  parse(pattern: string): ParseReturn {\n    assertValidPattern(pattern)\n\n    const options = this.options\n\n    // shortcuts\n    if (pattern === '**') return GLOBSTAR\n    if (pattern === '') return ''\n\n    // far and away, the most common glob pattern parts are\n    // *, *.*, and *.<ext>  Add a fast check method for those.\n    let m: RegExpMatchArray | null\n    let fastTest: null | ((f: string) => boolean) = null\n    if ((m = pattern.match(starRE))) {\n      fastTest = options.dot ? starTestDot : starTest\n    } else if ((m = pattern.match(starDotExtRE))) {\n      fastTest = (\n        options.nocase ?\n          options.dot ?\n            starDotExtTestNocaseDot\n          : starDotExtTestNocase\n        : options.dot ? starDotExtTestDot\n        : starDotExtTest)(m[1])\n    } else if ((m = pattern.match(qmarksRE))) {\n      fastTest = (\n        options.nocase ?\n          options.dot ?\n            qmarksTestNocaseDot\n          : qmarksTestNocase\n        : options.dot ? qmarksTestDot\n        : qmarksTest)(m)\n    } else if ((m = pattern.match(starDotStarRE))) {\n      fastTest = options.dot ? starDotStarTestDot : starDotStarTest\n    } else if ((m = pattern.match(dotStarRE))) {\n      fastTest = dotStarTest\n    }\n\n    const re = AST.fromGlob(pattern, this.options).toMMPattern()\n    if (fastTest && typeof re === 'object') {\n      // Avoids overriding in frozen environments\n      Reflect.defineProperty(re, 'test', { value: fastTest })\n    }\n    return re\n  }\n\n  makeRe() {\n    if (this.regexp || this.regexp === false) return this.regexp\n\n    // at this point, this.set is a 2d array of partial\n    // pattern strings, or \"**\".\n    //\n    // It's better to use .match().  This function shouldn't\n    // be used, really, but it's pretty convenient sometimes,\n    // when you just want to work with a regex.\n    const set = this.set\n\n    if (!set.length) {\n      this.regexp = false\n      return this.regexp\n    }\n    const options = this.options\n\n    const twoStar =\n      options.noglobstar ? star\n      : options.dot ? twoStarDot\n      : twoStarNoDot\n    const flags = new Set(options.nocase ? ['i'] : [])\n\n    // regexpify non-globstar patterns\n    // if ** is only item, then we just do one twoStar\n    // if ** is first, and there are more, prepend (\\/|twoStar\\/)? to next\n    // if ** is last, append (\\/twoStar|) to previous\n    // if ** is in the middle, append (\\/|\\/twoStar\\/) to previous\n    // then filter out GLOBSTAR symbols\n    let re = set\n      .map(pattern => {\n        const pp: (string | typeof GLOBSTAR)[] = pattern.map(p => {\n          if (p instanceof RegExp) {\n            for (const f of p.flags.split('')) flags.add(f)\n          }\n          return (\n            typeof p === 'string' ? regExpEscape(p)\n            : p === GLOBSTAR ? GLOBSTAR\n            : p._src\n          )\n        }) as (string | typeof GLOBSTAR)[]\n        pp.forEach((p, i) => {\n          const next = pp[i + 1]\n          const prev = pp[i - 1]\n          if (p !== GLOBSTAR || prev === GLOBSTAR) {\n            return\n          }\n          if (prev === undefined) {\n            if (next !== undefined && next !== GLOBSTAR) {\n              pp[i + 1] = '(?:\\\\/|' + twoStar + '\\\\/)?' + next\n            } else {\n              pp[i] = twoStar\n            }\n          } else if (next === undefined) {\n            pp[i - 1] = prev + '(?:\\\\/|\\\\/' + twoStar + ')?'\n          } else if (next !== GLOBSTAR) {\n            pp[i - 1] = prev + '(?:\\\\/|\\\\/' + twoStar + '\\\\/)' + next\n            pp[i + 1] = GLOBSTAR\n          }\n        })\n        const filtered = pp.filter(p => p !== GLOBSTAR)\n\n        // For partial matches, we need to make the pattern match\n        // any prefix of the full path. We do this by generating\n        // alternative patterns that match progressively longer prefixes.\n        if (this.partial && filtered.length >= 1) {\n          const prefixes: string[] = []\n          for (let i = 1; i <= filtered.length; i++) {\n            prefixes.push(filtered.slice(0, i).join('/'))\n          }\n          return '(?:' + prefixes.join('|') + ')'\n        }\n\n        return filtered.join('/')\n      })\n      .join('|')\n\n    // need to wrap in parens if we had more than one thing with |,\n    // otherwise only the first will be anchored to ^ and the last to $\n    const [open, close] = set.length > 1 ? ['(?:', ')'] : ['', '']\n    // must match entire pattern\n    // ending in a * or ** will make it less strict.\n    re = '^' + open + re + close + '$'\n\n    // In partial mode, '/' should always match as it's a valid prefix for any pattern\n    if (this.partial) {\n      re = '^(?:\\\\/|' + open + re.slice(1, -1) + close + ')$'\n    }\n\n    // can match anything, as long as it's not this.\n    if (this.negate) re = '^(?!' + re + ').+$'\n\n    try {\n      this.regexp = new RegExp(re, [...flags].join(''))\n      /* c8 ignore start */\n    } catch {\n      // should be impossible\n      this.regexp = false\n    }\n    /* c8 ignore stop */\n    return this.regexp\n  }\n\n  slashSplit(p: string) {\n    // if p starts with // on windows, we preserve that\n    // so that UNC paths aren't broken.  Otherwise, any number of\n    // / characters are coalesced into one, unless\n    // preserveMultipleSlashes is set to true.\n    if (this.preserveMultipleSlashes) {\n      return p.split('/')\n    } else if (this.isWindows && /^\\/\\/[^/]+/.test(p)) {\n      // add an extra '' for the one we lose\n      return ['', ...p.split(/\\/+/)]\n    } else {\n      return p.split(/\\/+/)\n    }\n  }\n\n  match(f: string, partial = this.partial) {\n    this.debug('match', f, this.pattern)\n    // short-circuit in the case of busted things.\n    // comments, etc.\n    if (this.comment) {\n      return false\n    }\n    if (this.empty) {\n      return f === ''\n    }\n\n    if (f === '/' && partial) {\n      return true\n    }\n\n    const options = this.options\n\n    // windows: need to use /, not \\\n    if (this.isWindows) {\n      f = f.split('\\\\').join('/')\n    }\n\n    // treat the test path as a set of pathparts.\n    const ff = this.slashSplit(f)\n    this.debug(this.pattern, 'split', ff)\n\n    // just ONE of the pattern sets in this.set needs to match\n    // in order for it to be valid.  If negating, then just one\n    // match means that we have failed.\n    // Either way, return on the first hit.\n\n    const set = this.set\n    this.debug(this.pattern, 'set', set)\n\n    // Find the basename of the path by looking for the last non-empty segment\n    let filename: string = ff[ff.length - 1]\n    if (!filename) {\n      for (let i = ff.length - 2; !filename && i >= 0; i--) {\n        filename = ff[i]\n      }\n    }\n\n    for (const pattern of set) {\n      let file = ff\n      if (options.matchBase && pattern.length === 1) {\n        file = [filename]\n      }\n      const hit = this.matchOne(file, pattern, partial)\n      if (hit) {\n        if (options.flipNegate) {\n          return true\n        }\n        return !this.negate\n      }\n    }\n\n    // didn't get any hits.  this is success if it's a negative\n    // pattern, failure otherwise.\n    if (options.flipNegate) {\n      return false\n    }\n    return this.negate\n  }\n\n  static defaults(def: MinimatchOptions) {\n    return minimatch.defaults(def).Minimatch\n  }\n}\n/* c8 ignore start */\nexport { AST } from './ast.js'\nexport { escape } from './escape.js'\nexport { unescape } from './unescape.js'\n/* c8 ignore stop */\nminimatch.AST = AST\nminimatch.Minimatch = Minimatch\nminimatch.escape = escape\nminimatch.unescape = unescape\n", "import { minimatch } from \"minimatch\";\n\nexport type PermissionAction = \"allow\" | \"ask\" | \"deny\";\n\nexport interface PermissionConfig {\n  [key: string]: PermissionAction | { [pattern: string]: PermissionAction };\n}\n\nexport interface PermissionResult {\n  action: PermissionAction;\n  reason?: string;\n}\n\nexport class PermissionSystem {\n  private globalPermissions: PermissionConfig;\n  private agentPermissions: Map<string, PermissionConfig> = new Map();\n  private sessionApprovals: Map<string, \"once\" | \"always\"> = new Map();\n\n  constructor(globalPermissions: PermissionConfig = {}) {\n    this.globalPermissions = {\n      read: \"allow\",\n      glob: \"allow\",\n      grep: \"allow\",\n      edit: \"ask\",\n      bash: \"ask\",\n      write: \"ask\",\n      browser: \"allow\",\n      webfetch: \"allow\",\n      curl: \"allow\",\n      ...globalPermissions,\n    };\n  }\n\n  setAgentPermissions(agentId: string, permissions: PermissionConfig): void {\n    this.agentPermissions.set(agentId, permissions);\n  }\n\n  async checkPermission(\n    toolName: string,\n    input: any,\n    agentId?: string\n  ): Promise<PermissionResult> {\n    const sessionKey = `${toolName}:${JSON.stringify(input)}`;\n\n    if (this.sessionApprovals.has(sessionKey)) {\n      return { action: \"allow\" };\n    }\n\n    let permissions = this.globalPermissions;\n\n    if (agentId && this.agentPermissions.has(agentId)) {\n      permissions = { ...permissions, ...this.agentPermissions.get(agentId) };\n    }\n\n    const toolPermission = permissions[toolName];\n\n    if (!toolPermission) {\n      return { action: \"ask\", reason: `No permission defined for ${toolName}` };\n    }\n\n    if (typeof toolPermission === \"string\") {\n      return { action: toolPermission };\n    }\n\n    if (typeof toolPermission === \"object\") {\n      return this.checkPatternMatch(toolPermission, toolName, input);\n    }\n\n    return { action: \"ask\" };\n  }\n\n  private checkPatternMatch(\n    patterns: { [pattern: string]: PermissionAction },\n    toolName: string,\n    input: any\n  ): PermissionResult {\n    const inputStr = JSON.stringify(input);\n    let lastMatch: PermissionAction | null = null;\n\n    for (const [pattern, action] of Object.entries(patterns)) {\n      if (pattern === \"*\") {\n        lastMatch = action;\n        continue;\n      }\n\n      if (minimatch(inputStr, pattern) || minimatch(inputStr, `*${pattern}*`)) {\n        lastMatch = action;\n      }\n    }\n\n    return { action: lastMatch || \"ask\" };\n  }\n\n  approveOnce(toolName: string, input: any): void {\n    const sessionKey = `${toolName}:${JSON.stringify(input)}`;\n    this.sessionApprovals.set(sessionKey, \"once\");\n  }\n\n  approveAlways(toolName: string): void {\n    const pattern = `${toolName}:*`;\n    this.sessionApprovals.set(pattern, \"always\");\n  }\n\n  clearApprovals(): void {\n    this.sessionApprovals.clear();\n  }\n}\n\nexport function createDefaultPermissions(): PermissionConfig {\n  return {\n    read: \"allow\",\n    glob: \"allow\",\n    grep: \"allow\",\n    webfetch: \"allow\",\n    curl: \"allow\",\n    browser: \"allow\",\n    edit: \"ask\",\n    write: \"ask\",\n    bash: {\n      \"*\": \"ask\",\n      \"git status*\": \"allow\",\n      \"git log*\": \"allow\",\n      \"ls *\": \"allow\",\n      \"pwd\": \"allow\",\n      \"echo *\": \"allow\",\n      \"cat *\": \"allow\",\n      \"npm test*\": \"allow\",\n      \"npm run *\": \"allow\",\n      \"rm *\": \"deny\",\n      \"sudo *\": \"deny\",\n      \"chmod 777 *\": \"deny\",\n    },\n  };\n}\n", "import { execFileSync } from \"child_process\";\nimport { existsSync, mkdirSync, writeFileSync, readFileSync } from \"fs\";\nimport { join } from \"path\";\n\nexport interface Snapshot {\n  id: string;\n  commitHash: string;\n  message: string;\n  timestamp: Date;\n  files: string[];\n}\n\nfunction isRealCommitHash(hash: string): boolean {\n  return hash !== \"no-changes\" && !hash.startsWith(\"fallback-\");\n}\n\nexport class SnapshotManager {\n  private snapshotDir: string;\n  private projectDir: string;\n  private snapshots: Snapshot[] = [];\n\n  constructor(projectDir: string = process.cwd()) {\n    this.projectDir = projectDir;\n    this.snapshotDir = join(projectDir, \".bravecode\", \"snapshots\");\n    this.ensureSnapshotDir();\n    this.loadSnapshots();\n  }\n\n  private ensureSnapshotDir(): void {\n    if (!existsSync(this.snapshotDir)) {\n      mkdirSync(this.snapshotDir, { recursive: true });\n    }\n  }\n\n  private loadSnapshots(): void {\n    const snapshotsFile = join(this.snapshotDir, \"snapshots.json\");\n    if (existsSync(snapshotsFile)) {\n      try {\n        const data = readFileSync(snapshotsFile, \"utf-8\");\n        this.snapshots = JSON.parse(data);\n      } catch {\n        this.snapshots = [];\n      }\n    }\n  }\n\n  private saveSnapshots(): void {\n    const snapshotsFile = join(this.snapshotDir, \"snapshots.json\");\n    writeFileSync(snapshotsFile, JSON.stringify(this.snapshots, null, 2));\n  }\n\n  private git(args: string[], options: { ignoreError?: boolean } = {}): string {\n    try {\n      return execFileSync(\"git\", args, {\n        cwd: this.projectDir,\n        encoding: \"utf-8\",\n      });\n    } catch (error: any) {\n      if (options.ignoreError) {\n        return \"\";\n      }\n      throw error;\n    }\n  }\n\n  private isGitRepo(): boolean {\n    return this.git([\"rev-parse\", \"--is-inside-work-tree\"], { ignoreError: true }).trim() === \"true\";\n  }\n\n  /**\n   * Commits the current state of `files` (when given) so it can be restored\n   * later. Only the named paths are staged and committed \u2014 the user's other\n   * changes, staged or unstaged, are never swept into the snapshot.\n   */\n  async createSnapshot(message: string = \"agent-action\", files?: string[]): Promise<Snapshot> {\n    if (!this.isGitRepo()) {\n      return this.createFallbackSnapshot(message);\n    }\n\n    try {\n      const targets = (files || []).filter((f) => existsSync(f));\n\n      if (targets.length > 0) {\n        this.git([\"add\", \"--\", ...targets]);\n\n        const status = this.git([\"status\", \"--porcelain\", \"--\", ...targets]);\n        if (!status.trim()) {\n          return this.recordSnapshot(\"no-changes\", message, []);\n        }\n\n        const diffStat = this.git([\"diff\", \"--cached\", \"--stat\", \"--\", ...targets]);\n        const changedFiles = this.parseDiffStatFiles(diffStat);\n\n        this.git([\"commit\", \"-m\", `bravecode: ${message}`, \"--\", ...targets]);\n\n        const commitHash = this.git([\"rev-parse\", \"HEAD\"]).trim();\n        return this.recordSnapshot(commitHash, message, changedFiles);\n      }\n\n      // No explicit files: fall back to a full-tree snapshot (legacy behavior).\n      this.git([\"add\", \"-A\"]);\n      const status = this.git([\"status\", \"--porcelain\"]);\n      if (!status.trim()) {\n        return this.recordSnapshot(\"no-changes\", message, []);\n      }\n\n      const diffStat = this.git([\"diff\", \"--cached\", \"--stat\"]);\n      const changedFiles = this.parseDiffStatFiles(diffStat);\n\n      this.git([\"commit\", \"-m\", `bravecode: ${message}`]);\n      const commitHash = this.git([\"rev-parse\", \"HEAD\"]).trim();\n      return this.recordSnapshot(commitHash, message, changedFiles);\n    } catch (error) {\n      return this.createFallbackSnapshot(message);\n    }\n  }\n\n  private parseDiffStatFiles(diffStat: string): string[] {\n    return diffStat\n      .split(\"\\n\")\n      .filter((line) => line.includes(\"|\"))\n      .map((line) => line.split(\"|\")[0].trim());\n  }\n\n  private recordSnapshot(commitHash: string, message: string, files: string[]): Snapshot {\n    const snapshot: Snapshot = {\n      id: Date.now().toString(),\n      commitHash,\n      message,\n      timestamp: new Date(),\n      files,\n    };\n    this.snapshots.push(snapshot);\n    this.saveSnapshots();\n    return snapshot;\n  }\n\n  private createFallbackSnapshot(message: string): Snapshot {\n    const snapshot: Snapshot = {\n      id: Date.now().toString(),\n      commitHash: \"fallback-\" + Date.now(),\n      message,\n      timestamp: new Date(),\n      files: [],\n    };\n    this.snapshots.push(snapshot);\n    this.saveSnapshots();\n    return snapshot;\n  }\n\n  /**\n   * Undoes the most recent snapshot by restoring only the files it captured to\n   * the state recorded in that snapshot (which is the state before the agent's\n   * action). History is never rewritten and no `reset --hard` is used, so\n   * unrelated work \u2014 including uncommitted changes to other files \u2014 cannot be\n   * destroyed.\n   */\n  async revert(): Promise<{ success: boolean; message: string }> {\n    if (!this.isGitRepo()) {\n      return { success: false, message: \"Not a git repository\" };\n    }\n\n    // Drop trailing snapshots that never produced a commit; there is nothing\n    // they could restore.\n    while (this.snapshots.length > 0 && !isRealCommitHash(this.snapshots[this.snapshots.length - 1].commitHash)) {\n      this.snapshots.pop();\n      this.saveSnapshots();\n    }\n\n    const lastSnapshot = this.snapshots[this.snapshots.length - 1];\n    if (!lastSnapshot) {\n      return { success: false, message: \"No snapshots to revert\" };\n    }\n\n    if (lastSnapshot.files.length === 0) {\n      this.snapshots.pop();\n      this.saveSnapshots();\n      return { success: true, message: `Nothing to restore for: ${lastSnapshot.message}` };\n    }\n\n    // Only safe while HEAD is still exactly at the snapshot commit; if the\n    // user has committed on top, restoring files could clobber their work.\n    const head = this.git([\"rev-parse\", \"HEAD\"]).trim();\n    if (head !== lastSnapshot.commitHash) {\n      return {\n        success: false,\n        message: `Cannot revert: HEAD (${head.slice(0, 7)}) is no longer at snapshot commit (${lastSnapshot.commitHash.slice(0, 7)}). Resolve manually with git.`,\n      };\n    }\n\n    try {\n      for (const file of lastSnapshot.files) {\n        this.git([\"checkout\", lastSnapshot.commitHash, \"--\", file]);\n      }\n\n      this.snapshots.pop();\n      this.saveSnapshots();\n\n      return {\n        success: true,\n        message: `Reverted ${lastSnapshot.files.length} file(s) to state before: ${lastSnapshot.message}`,\n      };\n    } catch (error: any) {\n      return { success: false, message: `Revert failed: ${error.message}` };\n    }\n  }\n\n  async redo(): Promise<{ success: boolean; message: string }> {\n    return {\n      success: false,\n      message: \"Redo not supported - use git reflog manually\",\n    };\n  }\n\n  getSnapshots(): Snapshot[] {\n    return [...this.snapshots];\n  }\n\n  getSnapshot(id: string): Snapshot | undefined {\n    return this.snapshots.find((s) => s.id === id);\n  }\n\n  async getDiff(): Promise<string> {\n    if (!this.isGitRepo()) {\n      return \"Not a git repository\";\n    }\n\n    const lastReal = [...this.snapshots]\n      .reverse()\n      .find((s) => isRealCommitHash(s.commitHash));\n    if (!lastReal) {\n      return \"No snapshot to diff\";\n    }\n\n    try {\n      return this.git([\"diff\", `${lastReal.commitHash}^`, lastReal.commitHash, \"--\"]);\n    } catch {\n      return \"No previous commit to diff\";\n    }\n  }\n}\n", "import type { Message } from \"../../provider\";\n\nexport interface CompactionResult {\n  summary: string;\n  messages: Message[];\n  originalTokens: number;\n  compactedTokens: number;\n}\n\nexport class ContextCompactor {\n  private maxTokens: number;\n  private summaryRatio: number;\n\n  constructor(maxTokens: number = 8000, summaryRatio: number = 0.3) {\n    this.maxTokens = maxTokens;\n    this.summaryRatio = summaryRatio;\n  }\n\n  private estimateTokens(messages: Message[]): number {\n    let tokens = 0;\n    for (const msg of messages) {\n      const content = typeof msg.content === \"string\" ? msg.content : JSON.stringify(msg.content);\n      tokens += Math.ceil(content.length / 4);\n    }\n    return tokens;\n  }\n\n  private shouldCompact(messages: Message[]): boolean {\n    const estimated = this.estimateTokens(messages);\n    return estimated > this.maxTokens;\n  }\n\n  async compact(messages: Message[], provider: any): Promise<CompactionResult> {\n    if (!this.shouldCompact(messages)) {\n      return {\n        summary: \"\",\n        messages,\n        originalTokens: this.estimateTokens(messages),\n        compactedTokens: this.estimateTokens(messages),\n      };\n    }\n\n    const originalTokens = this.estimateTokens(messages);\n\n    const systemMessages = messages.filter((m) => m.role === \"system\");\n    const conversationMessages = messages.filter((m) => m.role !== \"system\");\n\n    const cutoffIndex = Math.floor(conversationMessages.length * (1 - this.summaryRatio));\n    const toSummarize = conversationMessages.slice(0, cutoffIndex);\n    const toKeep = conversationMessages.slice(cutoffIndex);\n\n    const summaryPrompt = [\n      { role: \"user\" as const, content: `Summarize this conversation concisely, preserving key decisions and context:\\n\\n${toSummarize.map((m) => `${m.role}: ${typeof m.content === \"string\" ? m.content : \"[tool result]\"}`).join(\"\\n\\n\")}` }\n    ];\n\n    let summary: string;\n    try {\n      const result = await provider.chat({\n        model: \"codestral-latest\",\n        messages: summaryPrompt,\n        maxTokens: 500,\n      });\n      summary = result.text || \"Conversation summary unavailable.\";\n    } catch {\n      summary = \"Conversation summary unavailable.\";\n    }\n\n    const compacted: Message[] = [\n      ...systemMessages,\n      { role: \"user\" as const, content: `[Previous conversation summary]: ${summary}` },\n      ...toKeep,\n    ];\n\n    const compactedTokens = this.estimateTokens(compacted);\n\n    return {\n      summary,\n      messages: compacted,\n      originalTokens,\n      compactedTokens,\n    };\n  }\n\n  getStatus(messages: Message[]): { tokens: number; shouldCompact: boolean; percentage: number } {\n    const tokens = this.estimateTokens(messages);\n    return {\n      tokens,\n      shouldCompact: tokens > this.maxTokens,\n      percentage: Math.round((tokens / this.maxTokens) * 100),\n    };\n  }\n}\n", "import { LLMProviderManager } from \"../../provider\";\nimport type { Message, ToolCall } from \"../../provider\";\nimport { ToolRegistry } from \"../tool\";\nimport { setAgentCallback } from \"../tool/task\";\nimport { PermissionSystem, createDefaultPermissions } from \"../permission\";\nimport { SnapshotManager } from \"../snapshot\";\nimport { ContextCompactor } from \"../context\";\nimport { PluginManager, type PluginHooks } from \"../plugin\";\n\nconst MAX_SUBAGENT_DEPTH = 2;\nlet subagentDepth = 0;\n\nexport interface TodoItem {\n  id: string;\n  content: string;\n  status: 'pending' | 'in_progress' | 'completed';\n}\n\nconst IS_TUI = process.env.BRAVECODE_TUI === '1';\nfunction agentLog(...args: unknown[]): void {\n  if (IS_TUI) return;\n  console.log(...args);\n}\n\nexport interface AgentConfig {\n  id: string;\n  name: string;\n  description: string;\n  model: string;\n  systemPrompt: string;\n  temperature?: number;\n  maxIterations?: number;\n}\n\nexport const defaultAgents: AgentConfig[] = [\n  {\n    id: \"build\",\n    name: \"Build Agent\",\n    description: \"Full access to tools for development work\",\n    model: \"codestral-latest\",\n    systemPrompt: `You are BraveCode AI, an expert software engineer. You MUST use the provided tools to make file changes \u2014 do NOT narrate or describe actions in prose.\n\nWhen asked to build, scaffold, or modify a project:\n1. Create a dedicated project directory first (e.g. my-app/, snake-game/, website/). All files for the project go inside that directory.\n2. Organize the project with a proper structure (e.g. src/ for source, public/ for assets, components/ for UI components, styles/ for CSS, etc.).\n3. Use relative paths inside the project directory so the project is portable (e.g. my-app/src/index.tsx, not /full/system/path/my-app/src/index.tsx).\n4. Initialize the project with package.json, configuration files, and a README when appropriate.\n5. Install dependencies with a <run_command> block if needed.\n6. Verify the project structure with a <run_command>ls -la ...</run_command> at the end.\n\nTool call conventions \u2014 emit these blocks instead of writing code in prose:\n- <write_file path=\"relative/path\">content</write_file> for creating files\n- <read_file path=\"relative/path\"/> for reading files\n- <run_command>shell command</run_command> for executing commands\n\nEvery file MUST be created or modified via a tool call. Writing code blocks in your response without calling a tool does not create or modify any files.`,\n    temperature: 0.7,\n    maxIterations: 20,\n  },\n  {\n    id: \"plan\",\n    name: \"Plan Agent\",\n    description: \"Read-only analysis and planning\",\n    model: \"codestral-latest\",\n    systemPrompt: `You are BraveCode AI, a senior architect. You analyze codebases and create plans without making changes.\n\nFocus on:\n1. Understanding the existing code structure\n2. Identifying issues and improvements\n3. Creating step-by-step implementation plans\n\nDo not make edits. Only analyze and plan.`,\n    temperature: 0.3,\n    maxIterations: 10,\n  },\n  {\n    id: \"debug\",\n    name: \"Debug Agent\",\n    description: \"Specialized in debugging and troubleshooting issues\",\n    model: \"DeepSeek-R1\",\n    systemPrompt: `You are BraveCode AI, an expert debugger. You systematically find and fix bugs.\n\nDebugging process:\n1. Reproduce the issue - understand what's happening vs what's expected\n2. Read relevant files to understand the code flow\n3. Add logging or use grep to trace the problem\n4. Identify root cause\n5. Implement the fix\n6. Verify the fix works\n\nCommon debug techniques:\n- Check error messages and stack traces\n- Use grep to find related code\n- Read logs and understand execution flow\n- Test assumptions with bash commands\n- Add console.log or print statements\n\nBe methodical. Show your debugging steps.`,\n    temperature: 0.5,\n    maxIterations: 25,\n  },\n  {\n    id: \"testing\",\n    name: \"Testing Agent\",\n    description: \"Specialized in writing and running tests\",\n    model: \"codestral-latest\",\n    systemPrompt: `You are BraveCode AI, a testing expert. You write comprehensive tests and ensure code quality.\n\nTesting process:\n1. Understand the code that needs testing\n2. Check existing test patterns in the project\n3. Write unit tests for individual functions\n4. Write integration tests for component interactions\n5. Run tests and fix any failures\n6. Ensure good test coverage\n\nTest frameworks to use (based on project):\n- Jest/Vitest for JavaScript/TypeScript\n- pytest for Python\n- Go testing package for Go\n- JUnit for Java\n\nBest practices:\n- Test edge cases and error conditions\n- Use descriptive test names\n- Mock external dependencies\n- Test both positive and negative scenarios\n\nAlways run tests after writing them.`,\n    temperature: 0.4,\n    maxIterations: 20,\n  },\n  {\n    id: \"security\",\n    name: \"Security Agent\",\n    description: \"Vulnerability assessment and penetration testing\",\n    model: \"DeepSeek-R1\",\n    systemPrompt: `You are BraveCode AI, a security specialist. You perform vulnerability assessments and security audits.\n\nSecurity assessment process:\n1. Scan for common vulnerabilities\n2. Check for OWASP Top 10 issues\n3. Analyze authentication and authorization\n4. Review input validation and sanitization\n5. Check for secrets and sensitive data exposure\n6. Assess dependency vulnerabilities\n\nVulnerability categories to check:\n- Injection flaws (SQL, NoSQL, Command, LDAP)\n- Broken authentication\n- Sensitive data exposure\n- XML External Entity (XXE)\n- Broken access control\n- Security misconfiguration\n- Cross-site scripting (XSS)\n- Insecure deserialization\n- Using components with known vulnerabilities\n- Insufficient logging\n\nWhen you find vulnerabilities:\n1. Classify severity (Critical/High/Medium/Low)\n2. Provide proof of concept\n3. Suggest remediation steps\n4. Implement fixes if authorized\n\nUse bash tools to:\n- Run security scanners (npm audit, safety, trivy)\n- Check for hardcoded secrets\n- Verify HTTPS/TLS configuration\n- Test for SQL injection points`,\n    temperature: 0.3,\n    maxIterations: 30,\n  },\n  {\n    id: \"api-security\",\n    name: \"API Security Agent\",\n    description: \"API vulnerability assessment and penetration testing\",\n    model: \"DeepSeek-R1\",\n    systemPrompt: `You are BraveCode AI, an API security specialist. You perform comprehensive API vulnerability assessments and penetration testing.\n\nAPI Security Assessment Process:\n1. API Discovery - Map all endpoints, methods, and parameters\n2. Authentication Testing - Verify auth mechanisms\n3. Authorization Testing - Check access controls\n4. Input Validation - Test for injection attacks\n5. Rate Limiting - Test for abuse potential\n6. Data Exposure - Check for sensitive data leaks\n\nOWASP API Security Top 10 Checks:\n1. API1:2023 - Broken Object Level Authorization (BOLA)\n2. API2:2023 - Broken Authentication\n3. API3:2023 - Broken Object Property Level Authorization\n4. API4:2023 - Unrestricted Resource Consumption\n5. API5:2023 - Broken Function Level Authorization\n6. API6:2023 - Unrestricted Access to Sensitive Business Flows\n7. API7:2023 - Server Side Request Forgery (SSRF)\n8. API8:2023 - Security Misconfiguration\n9. API9:2023 - Improper Inventory Management\n10. API10:2023 - Unsafe Consumption of APIs\n\nTesting Methodology:\n\n1. Endpoint Enumeration:\n   - Test common API paths (/api/v1/*, /graphql, /swagger)\n   - Check for hidden endpoints in JavaScript files\n   - Analyze API documentation (OpenAPI/Swagger)\n\n2. Authentication Testing:\n   - Test JWT token validation\n   - Check for weak passwords\n   - Test session management\n   - Verify token expiration\n   - Test API key security\n\n3. Authorization Testing:\n   - Test IDOR vulnerabilities\n   - Check role-based access control\n   - Test privilege escalation\n   - Verify resource ownership\n\n4. Input Validation Testing:\n   - SQL injection in parameters\n   - NoSQL injection\n   - Command injection\n   - XML/JSON injection\n   - SSRF via URL parameters\n\n5. Rate Limiting:\n   - Test for brute force protection\n   - Check for DDoS vulnerabilities\n   - Verify throttling mechanisms\n\n6. Data Exposure:\n   - Check error messages for info leaks\n   - Verify sensitive data masking\n   - Test for verbose responses\n\nTools to Use:\n- curl for manual API testing\n- jq for JSON parsing\n- grep for searching responses\n- bash for scripting attacks\n\nWhen testing:\n1. Document all endpoints found\n2. Classify vulnerabilities by severity\n3. Provide proof-of-concept exploits\n4. Suggest remediation steps\n5. Create automated test scripts\n\nIMPORTANT: Only test APIs you have authorization to test. Never attempt to access unauthorized systems.`,\n    temperature: 0.3,\n    maxIterations: 35,\n  },\n];\n\nexport class Agent {\n  private provider: LLMProviderManager;\n  private tools: ToolRegistry;\n  private permissions: PermissionSystem;\n  private snapshots: SnapshotManager;\n  private compactor: ContextCompactor;\n  private pluginHooks: PluginHooks;\n  public config: AgentConfig;\n  private conversationHistory: Message[] = [];\n  private autoApprove: boolean = false;\n\n  constructor(provider: LLMProviderManager, tools: ToolRegistry, config: AgentConfig) {\n    this.provider = provider;\n    this.tools = tools;\n    this.config = config;\n    this.permissions = new PermissionSystem(createDefaultPermissions());\n    this.snapshots = new SnapshotManager();\n    this.compactor = new ContextCompactor();\n    this.pluginHooks = tools.getPluginManager().getAllHooks();\n\n    setAgentCallback(async (agentId: string, prompt: string): Promise<string> => {\n      const subConfig = defaultAgents.find((a) => a.id === agentId);\n      if (!subConfig) {\n        return `Error: Unknown agent '${agentId}'.`;\n      }\n      if (subagentDepth >= MAX_SUBAGENT_DEPTH) {\n        return `Error: Maximum subagent delegation depth (${MAX_SUBAGENT_DEPTH}) reached.`;\n      }\n      const subAgent = new Agent(this.provider, this.tools, subConfig);\n      subagentDepth++;\n      try {\n        return await subAgent.run(prompt);\n      } finally {\n        subagentDepth--;\n      }\n    });\n  }\n\n  setAutoApprove(auto: boolean): void {\n    this.autoApprove = auto;\n  }\n\n  /**\n   * Last-resort extractor for tool calls that the provider's parser missed.\n   * Handles non-standard tag formats the model emits in plain text, e.g.\n   * <write_file path=\"...\">...</write_file>, <read_file path=\"...\"/>,\n   * <run_command>cmd</run_command>, <todowrite>...</todowrite>, including\n   * the HTML-entity-escaped form.\n   */\n  private extractNativeToolTags(text: string): { toolCalls: ToolCall[]; todos: TodoItem[] } {\n    const decoded = text\n      .replace(/&lt;/g, \"<\")\n      .replace(/&gt;/g, \">\")\n      .replace(/&amp;/g, \"&\")\n      .replace(/&quot;/g, '\"');\n    const calls: ToolCall[] = [];\n    let nextId = 0;\n    const idSeq = () => `native_${Date.now().toString(36)}_${nextId++}`;\n\n    const wfRe = /<write_file\\s+path=\"([^\"]+)\">([\\s\\S]*?)<\\/write_file>/g;\n    let m: RegExpExecArray | null;\n    while ((m = wfRe.exec(decoded)) !== null) {\n      calls.push({ id: idSeq(), name: \"write\", arguments: { filePath: m[1], content: m[2] } });\n    }\n    const rfRe = /<read_file\\s+path=\"([^\"]+)\"\\s*\\/>/g;\n    while ((m = rfRe.exec(decoded)) !== null) {\n      calls.push({ id: idSeq(), name: \"read\", arguments: { filePath: m[1] } });\n    }\n    const rcRe = /<run_command>([\\s\\S]*?)<\\/run_command>/g;\n    while ((m = rcRe.exec(decoded)) !== null) {\n      calls.push({ id: idSeq(), name: \"bash\", arguments: { command: m[1].trim() } });\n    }\n\n    // Extract todos from a \"# Todos\" markdown block:\n    //   # Todos\n    //   [ ] Pending item\n    //   [\u2022] In-progress item\n    //   [x] Completed item\n    const todos: TodoItem[] = [];\n    const todosBlock = decoded.match(/#\\s*Todos\\s*\\n([\\s\\S]*?)(?:\\n\\s*\\n|$)/i);\n    if (todosBlock) {\n      const todoRe = /^\\s*\\[([ xX\u2022\\u2022\\u25CF\\u25CB])\\]\\s+(.+)$/gm;\n      let t: RegExpExecArray | null;\n      while ((t = todoRe.exec(todosBlock[1])) !== null) {\n        const mark = t[1].toLowerCase();\n        let status: 'pending' | 'in_progress' | 'completed' = 'pending';\n        if (mark === 'x') status = 'completed';\n        else if (mark === '\u2022' || mark === '\u25C9' || mark === 'o') status = 'in_progress';\n        todos.push({ id: idSeq(), content: t[2].trim(), status });\n      }\n    }\n    return { toolCalls: calls, todos };\n  }\n\n  async run(\n    userMessage: string,\n    onChunk?: (text: string) => void,\n    signal?: AbortSignal,\n    onToolCall?: (toolCall: ToolCall, status: 'pending' | 'running' | 'done' | 'error', result?: string) => void\n  ): Promise<string> {\n    let message = userMessage;\n    if (this.pluginHooks.beforeAgentRun) {\n      message = await this.pluginHooks.beforeAgentRun(this.config.id, message);\n    }\n\n    this.conversationHistory.push({ role: \"user\", content: message });\n\n    const toolDefs = this.tools.getToolDefinitions();\n    let iterations = 0;\n    const maxIter = this.config.maxIterations || 20;\n\n    while (iterations < maxIter) {\n      iterations++;\n\n      if (this.conversationHistory.length > 4) {\n        const status = this.compactor.getStatus(this.conversationHistory);\n        if (status.shouldCompact) {\n          const compacted = await this.compactor.compact(this.conversationHistory, this.provider);\n          this.conversationHistory = compacted.messages;\n          agentLog(\n            `\\n  > Context compacted: ${compacted.originalTokens} -> ${compacted.compactedTokens} estimated tokens`\n          );\n        }\n      }\n\n      const messages: Message[] = [\n        { role: \"system\", content: this.config.systemPrompt },\n        ...this.conversationHistory,\n      ];\n\n      let fullResponse = \"\";\n      let toolCalls: ToolCall[] = [];\n\n      if (onChunk) {\n        const stream = this.provider.chatStream({\n          model: this.config.model,\n          messages,\n          tools: toolDefs,\n        });\n\n        for await (const chunk of stream) {\n          if (signal?.aborted) break;\n          if (chunk.type === \"text\" && chunk.text) {\n            fullResponse += chunk.text;\n            onChunk(chunk.text);\n          } else if (chunk.type === \"tool_call\" && chunk.toolCall) {\n            toolCalls.push(chunk.toolCall);\n          }\n        }\n\n        // Last-resort post-processing: some free endpoints return tool calls\n        // embedded as plain text using non-standard tag formats. If the parser\n        // didn't catch them, extract them here from the full response.\n        if (toolCalls.length === 0) {\n          const { toolCalls: native, todos: nativeTodos } = this.extractNativeToolTags(fullResponse);\n          toolCalls = native;\n          // Stash todos in the conversation history as a separate field for the UI to pick up.\n          if (nativeTodos.length > 0) {\n            (this as any)._lastTodos = nativeTodos;\n          }\n        }\n      } else {\n        const result = await this.provider.chat({\n          model: this.config.model,\n          messages,\n          tools: toolDefs,\n        });\n        fullResponse = result.text || \"\";\n        toolCalls = result.toolCalls || [];\n      }\n\n      // On interrupt, keep any partial text but drop unanswered tool calls so\n      // the history stays valid for the next turn.\n      const interrupted = signal?.aborted ?? false;\n      this.conversationHistory.push({\n        role: \"assistant\",\n        content: fullResponse,\n        ...(toolCalls.length > 0 && !interrupted ? { toolCalls } : {}),\n      });\n\n      if (toolCalls.length === 0 || interrupted) {\n        return fullResponse;\n      }\n\n      for (const toolCall of toolCalls) {\n        if (signal?.aborted) break;\n\n        const toolName = toolCall.name;\n        const toolArgs = toolCall.arguments;\n\n        // Report tool call started\n        onToolCall?.(toolCall, 'running');\n\n        const permission = await this.permissions.checkPermission(\n          toolName,\n          toolArgs,\n          this.config.id\n        );\n\n        if (permission.action === \"deny\") {\n          agentLog(`\\n  > Blocked: ${toolName} (permission denied)`);\n          onToolCall?.(toolCall, 'error', 'Permission denied');\n          this.conversationHistory.push({\n            role: \"tool\",\n            content: \"Permission denied by security policy.\",\n            toolCallId: toolCall.id,\n            name: toolName,\n          });\n          continue;\n        }\n\n        if (permission.action === \"ask\" && !this.autoApprove) {\n          agentLog(`\\n  > ${toolName} requires approval`);\n          agentLog(`    Args: ${JSON.stringify(toolArgs).substring(0, 100)}...`);\n        }\n\n        if ([\"edit\", \"write\"].includes(toolName)) {\n          const snapshotFiles =\n            typeof toolArgs?.filePath === \"string\" ? [toolArgs.filePath] : undefined;\n          await this.snapshots.createSnapshot(`before ${toolName}`, snapshotFiles);\n        }\n\n        let args = toolArgs;\n        if (this.pluginHooks.beforeToolCall) {\n          args = await this.pluginHooks.beforeToolCall(toolName, args);\n        }\n\n        agentLog(`\\n  > Running: ${toolName}`);\n\n        let result = await this.tools.execute(toolName, args);\n\n        if (this.pluginHooks.afterToolCall) {\n          result = await this.pluginHooks.afterToolCall(toolName, args, result);\n        }\n\n        // Report tool call completed\n        onToolCall?.(toolCall, 'done', result);\n\n        this.conversationHistory.push({\n          role: \"tool\",\n          content: result,\n          toolCallId: toolCall.id,\n          name: toolName,\n        });\n\n        if (onChunk) {\n          onChunk(`\\n[${toolName} result]: ${result.substring(0, 200)}...\\n`);\n        }\n      }\n    }\n\n    return \"Max iterations reached\";\n  }\n\n  async undo(): Promise<string> {\n    const result = await this.snapshots.revert();\n    return result.message;\n  }\n\n  async getDiff(): Promise<string> {\n    return this.snapshots.getDiff();\n  }\n\n  clearHistory(): void {\n    this.conversationHistory = [];\n  }\n\n  getHistory(): Message[] {\n    return [...this.conversationHistory];\n  }\n}\n", "import { existsSync, readFileSync, writeFileSync, mkdirSync } from \"fs\";\nimport { join } from \"path\";\nimport { homedir } from \"os\";\n\nexport interface BraveCodeConfig {\n  version: string;\n  provider: {\n    default: string;\n    apiKey?: string;\n    baseUrl?: string;\n  };\n  model: {\n    default: string;\n    autoSelect: boolean;\n    preferred?: string[];\n  };\n  agent: {\n    default: string;\n    autoApprove: boolean;\n    maxIterations: number;\n  };\n  permissions: {\n    bash: \"allow\" | \"ask\" | \"deny\";\n    edit: \"allow\" | \"ask\" | \"deny\";\n    write: \"allow\" | \"ask\" | \"deny\";\n    browser: \"allow\" | \"ask\" | \"deny\";\n  };\n  ui: {\n    theme: \"dark\" | \"light\" | \"auto\";\n    showTokens: boolean;\n    streamingEnabled: boolean;\n  };\n  snapshot: {\n    enabled: boolean;\n    autoSnapshot: boolean;\n  };\n  telemetry: boolean;\n}\n\nconst DEFAULT_CONFIG: BraveCodeConfig = {\n  version: \"0.1.0\",\n  provider: {\n    default: \"bravecode\",\n    baseUrl: \"https://codero.sohailsyed.com/api/chat\",\n  },\n  model: {\n    default: \"codestral-latest\",\n    autoSelect: true,\n    preferred: [\"codestral-latest\", \"mistral-large-2512\", \"DeepSeek-V3\"],\n  },\n  agent: {\n    default: \"build\",\n    autoApprove: false,\n    maxIterations: 20,\n  },\n  permissions: {\n    bash: \"ask\",\n    edit: \"ask\",\n    write: \"ask\",\n    browser: \"allow\",\n  },\n  ui: {\n    theme: \"auto\",\n    showTokens: false,\n    streamingEnabled: true,\n  },\n  snapshot: {\n    enabled: true,\n    autoSnapshot: true,\n  },\n  telemetry: false,\n};\n\nexport class ConfigManager {\n  private configDir: string;\n  private configFile: string;\n  private config: BraveCodeConfig;\n\n  constructor() {\n    this.configDir = join(homedir(), \".bravecode\");\n    this.configFile = join(this.configDir, \"config.json\");\n    this.config = this.loadConfig();\n  }\n\n  private loadConfig(): BraveCodeConfig {\n    if (!existsSync(this.configDir)) {\n      mkdirSync(this.configDir, { recursive: true });\n    }\n\n    if (existsSync(this.configFile)) {\n      try {\n        const raw = readFileSync(this.configFile, \"utf-8\");\n        const loaded = JSON.parse(raw);\n        return this.mergeWithDefaults(loaded);\n      } catch {\n        return { ...DEFAULT_CONFIG };\n      }\n    }\n\n    this.saveConfig(DEFAULT_CONFIG);\n    return { ...DEFAULT_CONFIG };\n  }\n\n  private mergeWithDefaults(loaded: Partial<BraveCodeConfig>): BraveCodeConfig {\n    return {\n      ...DEFAULT_CONFIG,\n      ...loaded,\n      provider: { ...DEFAULT_CONFIG.provider, ...loaded.provider },\n      model: { ...DEFAULT_CONFIG.model, ...loaded.model },\n      agent: { ...DEFAULT_CONFIG.agent, ...loaded.agent },\n      permissions: { ...DEFAULT_CONFIG.permissions, ...loaded.permissions },\n      ui: { ...DEFAULT_CONFIG.ui, ...loaded.ui },\n      snapshot: { ...DEFAULT_CONFIG.snapshot, ...loaded.snapshot },\n    };\n  }\n\n  saveConfig(config: BraveCodeConfig): void {\n    this.config = config;\n    writeFileSync(this.configFile, JSON.stringify(config, null, 2));\n  }\n\n  get(): BraveCodeConfig {\n    return { ...this.config };\n  }\n\n  set<K extends keyof BraveCodeConfig>(key: K, value: BraveCodeConfig[K]): void {\n    this.config[key] = value;\n    this.saveConfig(this.config);\n  }\n\n  getNested<T>(path: string): T | undefined {\n    const keys = path.split(\".\");\n    let current: any = this.config;\n\n    for (const key of keys) {\n      if (current && typeof current === \"object\" && key in current) {\n        current = current[key];\n      } else {\n        return undefined;\n      }\n    }\n\n    return current as T;\n  }\n\n  setNested<T>(path: string, value: T): void {\n    const keys = path.split(\".\");\n    let current: any = this.config;\n\n    for (let i = 0; i < keys.length - 1; i++) {\n      const key = keys[i];\n      if (!(key in current) || typeof current[key] !== \"object\") {\n        current[key] = {};\n      }\n      current = current[key];\n    }\n\n    current[keys[keys.length - 1]] = value;\n    this.saveConfig(this.config);\n  }\n\n  reset(): void {\n    this.config = { ...DEFAULT_CONFIG };\n    this.saveConfig(this.config);\n  }\n\n  validate(): { valid: boolean; errors: string[] } {\n    const errors: string[] = [];\n\n    if (!this.config.version) errors.push(\"Missing version\");\n    if (![\"bravecode\", \"openrouter\", \"9router\", \"mistral\", \"deepseek\"].includes(this.config.provider.default)) {\n      errors.push(\"Invalid provider\");\n    }\n    if (!this.config.model.default) errors.push(\"Missing model default\");\n    if (typeof this.config.agent.maxIterations !== \"number\" || this.config.agent.maxIterations < 1) {\n      errors.push(\"Invalid maxIterations\");\n    }\n\n    return { valid: errors.length === 0, errors };\n  }\n}\n\nlet instance: ConfigManager | null = null;\n\nexport function getConfig(): ConfigManager {\n  if (!instance) {\n    instance = new ConfigManager();\n  }\n  return instance;\n}\n", "import { readFileSync, writeFileSync, existsSync, mkdirSync, readdirSync, unlinkSync } from \"fs\";\nimport { join } from \"path\";\nimport { homedir } from \"os\";\nimport { randomBytes } from \"crypto\";\n\nexport interface SharedConversation {\n  id: string;\n  title: string;\n  messages: SharedMessage[];\n  createdAt: Date;\n  expiresAt?: Date;\n  isPublic: boolean;\n}\n\nexport interface SharedMessage {\n  role: \"user\" | \"assistant\" | \"system\";\n  content: string;\n  timestamp: Date;\n}\n\nexport class ShareManager {\n  private shareDir: string;\n\n  constructor() {\n    this.shareDir = join(homedir(), \".bravecode\", \"shares\");\n    this.ensureShareDir();\n  }\n\n  private ensureShareDir(): void {\n    if (!existsSync(this.shareDir)) {\n      mkdirSync(this.shareDir, { recursive: true });\n    }\n  }\n\n  createShare(\n    title: string,\n    messages: SharedMessage[],\n    options: {\n      isPublic?: boolean;\n      expiresInHours?: number;\n    } = {}\n  ): SharedConversation {\n    const id = randomBytes(8).toString(\"hex\");\n    const share: SharedConversation = {\n      id,\n      title,\n      messages,\n      createdAt: new Date(),\n      isPublic: options.isPublic ?? true,\n      expiresAt: options.expiresInHours\n        ? new Date(Date.now() + options.expiresInHours * 3600000)\n        : undefined,\n    };\n\n    const filePath = join(this.shareDir, `${id}.json`);\n    writeFileSync(filePath, JSON.stringify(share, null, 2));\n\n    return share;\n  }\n\n  getShare(id: string): SharedConversation | null {\n    const filePath = join(this.shareDir, `${id}.json`);\n\n    if (!existsSync(filePath)) {\n      return null;\n    }\n\n    try {\n      const data = readFileSync(filePath, \"utf-8\");\n      const share: SharedConversation = JSON.parse(data);\n\n      if (share.expiresAt && new Date(share.expiresAt) < new Date()) {\n        this.deleteShare(id);\n        return null;\n      }\n\n      return share;\n    } catch {\n      return null;\n    }\n  }\n\n  listShares(): SharedConversation[] {\n    if (!existsSync(this.shareDir)) {\n      return [];\n    }\n\n    const files = readdirSync(this.shareDir).filter((f: string) => f.endsWith(\".json\"));\n\n    return files\n      .map((file: string) => {\n        try {\n          const data = readFileSync(join(this.shareDir, file), \"utf-8\");\n          return JSON.parse(data) as SharedConversation;\n        } catch {\n          return null;\n        }\n      })\n      .filter(Boolean) as SharedConversation[];\n  }\n\n  deleteShare(id: string): boolean {\n    const filePath = join(this.shareDir, `${id}.json`);\n\n    if (existsSync(filePath)) {\n      unlinkSync(filePath);\n      return true;\n    }\n\n    return false;\n  }\n\n  getShareUrl(id: string): string {\n    return `https://bravecode.ai/share/${id}`;\n  }\n\n  formatShareForDisplay(share: SharedConversation): string {\n    const lines: string[] = [\n      `# ${share.title}`,\n      \"\",\n      `Created: ${new Date(share.createdAt).toLocaleString()}`,\n      `Public: ${share.isPublic ? \"Yes\" : \"No\"}`,\n      share.expiresAt ? `Expires: ${new Date(share.expiresAt).toLocaleString()}` : \"\",\n      \"\",\n      \"---\",\n      \"\",\n    ];\n\n    for (const msg of share.messages) {\n      const role = msg.role === \"user\" ? \"**You**\" : msg.role === \"assistant\" ? \"**AI**\" : \"**System**\";\n      lines.push(`${role}:`);\n      lines.push(msg.content);\n      lines.push(\"\");\n    }\n\n    return lines.join(\"\\n\");\n  }\n}\n", "import { execSync } from \"child_process\";\nimport { readFileSync, writeFileSync, existsSync, mkdirSync } from \"fs\";\nimport { join } from \"path\";\nimport { homedir } from \"os\";\nimport { APP_VERSION } from \"../../version\";\n\nconst PACKAGE_NAME = \"bravecode-cli\";\nconst CURRENT_VERSION = APP_VERSION;\nconst UPDATE_CHECK_INTERVAL = 24 * 60 * 60 * 1000;\n\nexport interface UpdateInfo {\n  currentVersion: string;\n  latestVersion: string;\n  updateAvailable: boolean;\n  releaseUrl?: string;\n  releaseNotes?: string;\n}\n\nexport class UpdateChecker {\n  private configDir: string;\n  private lastCheckFile: string;\n\n  constructor() {\n    this.configDir = join(homedir(), \".bravecode\");\n    this.lastCheckFile = join(this.configDir, \"last-update-check\");\n    this.ensureConfigDir();\n  }\n\n  private ensureConfigDir(): void {\n    if (!existsSync(this.configDir)) {\n      mkdirSync(this.configDir, { recursive: true });\n    }\n  }\n\n  private getLastCheckTime(): number {\n    if (!existsSync(this.lastCheckFile)) {\n      return 0;\n    }\n\n    try {\n      const data = readFileSync(this.lastCheckFile, \"utf-8\");\n      return parseInt(data, 10) || 0;\n    } catch {\n      return 0;\n    }\n  }\n\n  private setLastCheckTime(): void {\n    writeFileSync(this.lastCheckFile, Date.now().toString());\n  }\n\n  async checkForUpdates(force: boolean = false): Promise<UpdateInfo> {\n    const lastCheck = this.getLastCheckTime();\n    const now = Date.now();\n\n    if (!force && now - lastCheck < UPDATE_CHECK_INTERVAL) {\n      return {\n        currentVersion: CURRENT_VERSION,\n        latestVersion: CURRENT_VERSION,\n        updateAvailable: false,\n      };\n    }\n\n    this.setLastCheckTime();\n\n    try {\n      const result = execSync(`npm view ${PACKAGE_NAME} version 2>/dev/null`, {\n        encoding: \"utf-8\",\n        timeout: 10000,\n      }).trim();\n\n      const latestVersion = result || CURRENT_VERSION;\n      const updateAvailable = this.compareVersions(latestVersion, CURRENT_VERSION) > 0;\n\n      return {\n        currentVersion: CURRENT_VERSION,\n        latestVersion,\n        updateAvailable,\n        releaseUrl: `https://www.npmjs.com/package/${PACKAGE_NAME}`,\n      };\n    } catch {\n      return {\n        currentVersion: CURRENT_VERSION,\n        latestVersion: CURRENT_VERSION,\n        updateAvailable: false,\n      };\n    }\n  }\n\n  private compareVersions(a: string, b: string): number {\n    const partsA = a.split(\".\").map(Number);\n    const partsB = b.split(\".\").map(Number);\n\n    for (let i = 0; i < Math.max(partsA.length, partsB.length); i++) {\n      const partA = partsA[i] || 0;\n      const partB = partsB[i] || 0;\n\n      if (partA > partB) return 1;\n      if (partA < partB) return -1;\n    }\n\n    return 0;\n  }\n\n  async update(): Promise<{ success: boolean; message: string }> {\n    try {\n      console.log(`Updating ${PACKAGE_NAME}...`);\n      execSync(`npm install -g ${PACKAGE_NAME}@latest`, {\n        stdio: \"inherit\",\n        timeout: 120000,\n      });\n\n      return {\n        success: true,\n        message: \"Updated successfully. Please restart bravecode.\",\n      };\n    } catch (error: any) {\n      return {\n        success: false,\n        message: `Update failed: ${error.message}`,\n      };\n    }\n  }\n\n  async getChangelog(): Promise<string> {\n    try {\n      const result = execSync(`npm view ${PACKAGE_NAME} --json 2>/dev/null`, {\n        encoding: \"utf-8\",\n        timeout: 10000,\n      });\n\n      const info = JSON.parse(result);\n      const description = info.description || \"No changelog available.\";\n      return description;\n    } catch {\n      return \"Unable to fetch changelog.\";\n    }\n  }\n}\n", "import React from 'react';\n\nexport const colors = {\n  bg: '#0f0f0f',\n  bgAlt: '#1a1a1a',\n  surface: '#181818',\n  surface2: '#222222',\n  headerBg: '#2a0f2a',\n  headerFg: '#f0e0f0',\n  border: '#3a2a3a',\n  borderFocus: '#8a4ea6',\n  primary: '#b366ff',\n  primaryDim: '#7a3cb8',\n  accent: '#ff9f43',\n  text: '#e8e8e8',\n  textSecondary: '#b8b8b8',\n  textMuted: '#6e6e7e',\n  success: '#4ade80',\n  warning: '#fbbf24',\n  error: '#f87171',\n  info: '#60a5fa',\n  inputBg: '#1e1e1e',\n  inputBorder: '#3a2a3a',\n  sidebarBg: '#0f0a0f',\n  statusBg: '#150f15',\n  userMsg: '#1a1422',\n  assistantMsg: '#14141a',\n} as const;\n\nexport type Colors = typeof colors;\n\ninterface ThemeContextValue {\n  colors: Colors;\n}\n\nconst ThemeContext = React.createContext<ThemeContextValue>({ colors });\n\nexport function ThemeProvider({ children }: { children: React.ReactNode }) {\n  const value = React.useMemo<ThemeContextValue>(() => ({ colors }), []);\n  return React.createElement(ThemeContext.Provider, { value }, children);\n}\n\nexport function useTheme() {\n  return React.useContext(ThemeContext);\n}\n\nexport default colors;\n", "export { ThemeProvider, useTheme, colors, default } from './default';\nexport type { Colors } from './default';\n", "import React from 'react';\nimport { defaultAgents, type AgentConfig } from '../../agent';\n\nexport interface ToolCallState {\n  id: string;\n  name: string;\n  args: unknown;\n  status: 'pending' | 'running' | 'done' | 'error';\n  result?: string;\n}\n\nexport interface Message {\n  id: string;\n  role: 'system' | 'user' | 'assistant' | 'tool';\n  content: string;\n  timestamp: Date;\n  agent?: string;\n  model?: string;\n  toolCalls?: ToolCallState[];\n  toolCallId?: string;\n  toolName?: string;\n}\n\ninterface SessionContextValue {\n  messages: Message[];\n  addMessage: (msg: Omit<Message, 'id' | 'timestamp'> & Partial<Pick<Message, 'id' | 'timestamp'>>) => Message;\n  updateMessage: (id: string, patch: Partial<Message>) => void;\n  addToolCall: (messageId: string, tc: ToolCallState) => void;\n  updateToolCall: (messageId: string, toolCallId: string, patch: Partial<ToolCallState>) => void;\n  clear: () => void;\n}\n\nconst SessionContext = React.createContext<SessionContextValue | null>(null);\n\nlet msgIdCounter = 0;\nconst nextId = () => `msg_${Date.now().toString(36)}_${++msgIdCounter}`;\n\nexport function SessionProvider({ children }: { children: React.ReactNode }) {\n  const [messages, setMessages] = React.useState<Message[]>([]);\n\n  const value: SessionContextValue = React.useMemo(() => ({\n    messages,\n    addMessage: (msg) => {\n      const full: Message = { id: msg.id ?? nextId(), timestamp: msg.timestamp ?? new Date(), ...msg } as Message;\n      setMessages(prev => [...prev, full]);\n      return full;\n    },\n    updateMessage: (id, patch) => setMessages(prev => prev.map(m => m.id === id ? { ...m, ...patch } : m)),\n    addToolCall: (messageId, tc) => setMessages(prev => prev.map(m => m.id === messageId ? {\n      ...m,\n      toolCalls: [...(m.toolCalls ?? []), tc]\n    } : m)),\n    updateToolCall: (messageId, toolCallId, patch) => setMessages(prev => prev.map(m => m.id === messageId ? {\n      ...m,\n      toolCalls: m.toolCalls?.map(tc => tc.id === toolCallId ? { ...tc, ...patch } : tc)\n    } : m)),\n    clear: () => setMessages([]),\n  }), [messages]);\n\n  return React.createElement(SessionContext.Provider, { value }, children);\n}\n\nexport function useSession() {\n  const ctx = React.useContext(SessionContext);\n  if (!ctx) throw new Error('useSession must be inside SessionProvider');\n  return ctx;\n}\n\ninterface AgentContextValue {\n  currentAgent: AgentConfig;\n  currentModel: string;\n  isRunning: boolean;\n  setAgent: (id: string) => void;\n  setModel: (id: string) => void;\n  setRunning: (running: boolean) => void;\n  availableAgents: AgentConfig[];\n}\n\nconst AgentContext = React.createContext<AgentContextValue | null>(null);\n\ninterface AgentProviderProps {\n  children?: React.ReactNode;\n  initialAgent?: string;\n  initialModel?: string;\n}\n\nexport function AgentProvider({ children, initialAgent = 'build', initialModel }: AgentProviderProps) {\n  const [currentAgent, setCurrentAgent] = React.useState<AgentConfig>(() => {\n    return defaultAgents.find(a => a.id === initialAgent) ?? defaultAgents[0];\n  });\n  const [currentModel, setCurrentModel] = React.useState<string>(initialModel ?? currentAgent.model);\n  const [isRunning, setIsRunning] = React.useState(false);\n\n  const setAgent = React.useCallback((id: string) => {\n    const cfg = defaultAgents.find(a => a.id === id);\n    if (cfg) {\n      setCurrentAgent(cfg);\n      setCurrentModel(cfg.model);\n    }\n  }, []);\n  const setModel = React.useCallback((id: string) => setCurrentModel(id), []);\n  const setRunning = React.useCallback((r: boolean) => setIsRunning(r), []);\n\n  const value: AgentContextValue = React.useMemo(() => ({\n    currentAgent,\n    currentModel,\n    isRunning,\n    setAgent,\n    setModel,\n    setRunning,\n    availableAgents: defaultAgents,\n  }), [currentAgent, currentModel, isRunning, setAgent, setModel, setRunning]);\n\n  return React.createElement(AgentContext.Provider, { value }, children);\n}\n\nexport function useAgent() {\n  const ctx = React.useContext(AgentContext);\n  if (!ctx) throw new Error('useAgent must be inside AgentProvider');\n  return ctx;\n}\n\nexport type DialogType = 'model' | 'agent' | 'help' | null;\ninterface DialogState { type: DialogType; }\n\ninterface DialogContextValue {\n  isOpen: boolean;\n  dialog: DialogState;\n  openDialog: (type: Exclude<DialogType, null>) => void;\n  closeDialog: () => void;\n}\n\nconst DialogContext = React.createContext<DialogContextValue | null>(null);\n\nexport function DialogProvider({ children }: { children: React.ReactNode }) {\n  const [dialog, setDialog] = React.useState<DialogState>({ type: null });\n\n  const value = React.useMemo<DialogContextValue>(() => ({\n    isOpen: dialog.type !== null,\n    dialog,\n    openDialog: (type) => setDialog({ type }),\n    closeDialog: () => setDialog({ type: null }),\n  }), [dialog]);\n\n  return React.createElement(DialogContext.Provider, { value }, children);\n}\n\nexport function useDialog() {\n  const ctx = React.useContext(DialogContext);\n  if (!ctx) throw new Error('useDialog must be inside DialogProvider');\n  return ctx;\n}\n\nexport type ToastKind = 'info' | 'success' | 'warning' | 'error';\nexport interface Toast {\n  id: string;\n  kind: ToastKind;\n  message: string;\n  createdAt: number;\n}\n\ninterface ToastContextValue {\n  toasts: Toast[];\n  info: (msg: string) => void;\n  success: (msg: string) => void;\n  warning: (msg: string) => void;\n  error: (msg: string) => void;\n  dismiss: (id: string) => void;\n}\n\nconst ToastContext = React.createContext<ToastContextValue | null>(null);\nlet toastCounter = 0;\n\nexport function ToastProvider({ children }: { children: React.ReactNode }) {\n  const [toasts, setToasts] = React.useState<Toast[]>([]);\n\n  const dismiss = React.useCallback((id: string) => {\n    setToasts(prev => prev.filter(t => t.id !== id));\n  }, []);\n\n  const push = React.useCallback((kind: ToastKind, message: string) => {\n    const id = `t_${Date.now().toString(36)}_${++toastCounter}`;\n    setToasts(prev => [...prev, { id, kind, message, createdAt: Date.now() }]);\n    setTimeout(() => dismiss(id), 4000);\n  }, [dismiss]);\n\n  const value = React.useMemo<ToastContextValue>(() => ({\n    toasts,\n    info: (m) => push('info', m),\n    success: (m) => push('success', m),\n    warning: (m) => push('warning', m),\n    error: (m) => push('error', m),\n    dismiss,\n  }), [toasts, push, dismiss]);\n\n  return React.createElement(ToastContext.Provider, { value }, children);\n}\n\nexport function useToast() {\n  const ctx = React.useContext(ToastContext);\n  if (!ctx) throw new Error('useToast must be inside ToastProvider');\n  return ctx;\n}\n\nexport interface TodoItem {\n  id: string;\n  content: string;\n  status: 'pending' | 'in_progress' | 'completed';\n}\n\ninterface TodoContextValue {\n  todos: TodoItem[];\n  setTodos: (todos: TodoItem[]) => void;\n}\n\nconst TodoContext = React.createContext<TodoContextValue | null>(null);\n\nexport function TodoProvider({ children }: { children: React.ReactNode }) {\n  const [todos, setTodos] = React.useState<TodoItem[]>([]);\n  const value = React.useMemo<TodoContextValue>(() => ({ todos, setTodos }), [todos]);\n  return React.createElement(TodoContext.Provider, { value }, children);\n}\n\nexport function useTodos() {\n  const ctx = React.useContext(TodoContext);\n  if (!ctx) throw new Error('useTodos must be inside TodoProvider');\n  return ctx;\n}\n", "import React from 'react';\nimport { LLMProviderManager } from '../../../provider';\nimport { ToolRegistry } from '../../tool';\nimport { Agent, type TodoItem } from '../../agent';\nimport { useSession, type Message as SessionMessage } from '../context/providers';\nimport { useAgent as useAgentCtx } from '../context/providers';\nimport { useToast } from '../context/providers';\nimport { useTodos } from '../context/providers';\n\nexport function useAgentRunner() {\n  const { addMessage, updateMessage, addToolCall, messages } = useSession();\n  const { currentAgent, currentModel, setRunning } = useAgentCtx();\n  const toast = useToast();\n  const { setTodos } = useTodos();\n\n  const agentRef = React.useRef<Agent | null>(null);\n  const abortRef = React.useRef<AbortController | null>(null);\n\n  const sendMessage = React.useCallback(async (content: string) => {\n    setTodos([]);\n    const userMsg: SessionMessage = addMessage({\n      role: 'user',\n      content,\n      agent: currentAgent.id,\n      model: currentModel,\n    });\n    void userMsg;\n\n    const assistantMsg: SessionMessage = addMessage({\n      role: 'assistant',\n      content: '',\n      agent: currentAgent.id,\n      model: currentModel,\n    });\n\n    abortRef.current = new AbortController();\n    setRunning(true);\n\n    try {\n      const provider = new LLMProviderManager();\n      const tools = new ToolRegistry();\n      const agent = new Agent(provider, tools, {\n        ...currentAgent,\n        model: currentModel,\n      });\n      agentRef.current = agent;\n\n      let fullContent = '';\n      await agent.run(\n        content,\n        (chunk: string) => {\n          fullContent += chunk;\n          updateMessage(assistantMsg.id, { content: fullContent });\n        },\n        abortRef.current.signal,\n        (toolCall, status, result) => {\n          // Add or update tool call in the message\n          const tcState = {\n            id: toolCall.id,\n            name: toolCall.name,\n            args: toolCall.arguments,\n            status: status as 'pending' | 'running' | 'done' | 'error',\n            result: result,\n          };\n          \n          // Check if tool call already exists\n          const existingMsg = messages.find(m => m.id === assistantMsg.id);\n          const existingTc = existingMsg?.toolCalls?.find(tc => tc.id === toolCall.id);\n          \n          if (existingTc) {\n            // Update existing tool call\n            updateMessage(assistantMsg.id, {\n              toolCalls: existingMsg.toolCalls!.map(tc => \n                tc.id === toolCall.id ? tcState : tc\n              )\n            });\n          } else {\n            // Add new tool call\n            addToolCall(assistantMsg.id, tcState);\n          }\n        },\n      );\n      updateMessage(assistantMsg.id, { content: fullContent });\n\n      // Pull any todos the agent extracted from the response into the\n      // global todos state so the sidebar can render them.\n      const extractedTodos: TodoItem[] | undefined = (agentRef.current as any)?._lastTodos;\n      if (extractedTodos && extractedTodos.length > 0) {\n        setTodos(extractedTodos);\n      }\n    } catch (err: unknown) {\n      const e = err as { name?: string; message?: string };\n      if (e?.name === 'AbortError' || e?.message?.includes('abort')) {\n        toast.info('Generation cancelled');\n      } else {\n        toast.error(`Error: ${e?.message ?? 'Unknown error'}`);\n        updateMessage(assistantMsg.id, {\n          content: `Error: ${e?.message ?? 'Failed to generate response'}`,\n        });\n      }\n    } finally {\n      setRunning(false);\n      agentRef.current = null;\n      abortRef.current = null;\n    }\n  }, [currentAgent, currentModel, addMessage, updateMessage, setRunning, toast]);\n\n  const cancelCurrent = React.useCallback(() => {\n    if (abortRef.current) {\n      abortRef.current.abort();\n      abortRef.current = null;\n    }\n    if (agentRef.current) {\n      agentRef.current = null;\n    }\n    setRunning(false);\n  }, [setRunning]);\n\n  return { sendMessage, cancelCurrent };\n}\n", "import type { MarkedOptions } from './MarkedOptions.ts';\n\n/**\n * Gets the original marked default options.\n */\nexport function _getDefaults(): MarkedOptions {\n  return {\n    async: false,\n    breaks: false,\n    extensions: null,\n    gfm: true,\n    hooks: null,\n    pedantic: false,\n    renderer: null,\n    silent: false,\n    tokenizer: null,\n    walkTokens: null,\n  };\n}\n\nexport let _defaults = _getDefaults();\n\nexport function changeDefaults(newDefaults: MarkedOptions) {\n  _defaults = newDefaults;\n}\n", "const noopTest = { exec: () => null } as unknown as RegExp;\n\nfunction edit(regex: string | RegExp, opt = '') {\n  let source = typeof regex === 'string' ? regex : regex.source;\n  const obj = {\n    replace: (name: string | RegExp, val: string | RegExp) => {\n      let valSource = typeof val === 'string' ? val : val.source;\n      valSource = valSource.replace(other.caret, '$1');\n      source = source.replace(name, valSource);\n      return obj;\n    },\n    getRegex: () => {\n      return new RegExp(source, opt);\n    },\n  };\n  return obj;\n}\n\nexport const other = {\n  codeRemoveIndent: /^(?: {1,4}| {0,3}\\t)/gm,\n  outputLinkReplace: /\\\\([\\[\\]])/g,\n  indentCodeCompensation: /^(\\s+)(?:```)/,\n  beginningSpace: /^\\s+/,\n  endingHash: /#$/,\n  startingSpaceChar: /^ /,\n  endingSpaceChar: / $/,\n  nonSpaceChar: /[^ ]/,\n  newLineCharGlobal: /\\n/g,\n  tabCharGlobal: /\\t/g,\n  multipleSpaceGlobal: /\\s+/g,\n  blankLine: /^[ \\t]*$/,\n  doubleBlankLine: /\\n[ \\t]*\\n[ \\t]*$/,\n  blockquoteStart: /^ {0,3}>/,\n  blockquoteSetextReplace: /\\n {0,3}((?:=+|-+) *)(?=\\n|$)/g,\n  blockquoteSetextReplace2: /^ {0,3}>[ \\t]?/gm,\n  listReplaceTabs: /^\\t+/,\n  listReplaceNesting: /^ {1,4}(?=( {4})*[^ ])/g,\n  listIsTask: /^\\[[ xX]\\] /,\n  listReplaceTask: /^\\[[ xX]\\] +/,\n  anyLine: /\\n.*\\n/,\n  hrefBrackets: /^<(.*)>$/,\n  tableDelimiter: /[:|]/,\n  tableAlignChars: /^\\||\\| *$/g,\n  tableRowBlankLine: /\\n[ \\t]*$/,\n  tableAlignRight: /^ *-+: *$/,\n  tableAlignCenter: /^ *:-+: *$/,\n  tableAlignLeft: /^ *:-+ *$/,\n  startATag: /^<a /i,\n  endATag: /^<\\/a>/i,\n  startPreScriptTag: /^<(pre|code|kbd|script)(\\s|>)/i,\n  endPreScriptTag: /^<\\/(pre|code|kbd|script)(\\s|>)/i,\n  startAngleBracket: /^</,\n  endAngleBracket: />$/,\n  pedanticHrefTitle: /^([^'\"]*[^\\s])\\s+(['\"])(.*)\\2/,\n  unicodeAlphaNumeric: /[\\p{L}\\p{N}]/u,\n  escapeTest: /[&<>\"']/,\n  escapeReplace: /[&<>\"']/g,\n  escapeTestNoEncode: /[<>\"']|&(?!(#\\d{1,7}|#[Xx][a-fA-F0-9]{1,6}|\\w+);)/,\n  escapeReplaceNoEncode: /[<>\"']|&(?!(#\\d{1,7}|#[Xx][a-fA-F0-9]{1,6}|\\w+);)/g,\n  unescapeTest: /&(#(?:\\d+)|(?:#x[0-9A-Fa-f]+)|(?:\\w+));?/ig,\n  caret: /(^|[^\\[])\\^/g,\n  percentDecode: /%25/g,\n  findPipe: /\\|/g,\n  splitPipe: / \\|/,\n  slashPipe: /\\\\\\|/g,\n  carriageReturn: /\\r\\n|\\r/g,\n  spaceLine: /^ +$/gm,\n  notSpaceStart: /^\\S*/,\n  endingNewline: /\\n$/,\n  listItemRegex: (bull: string) => new RegExp(`^( {0,3}${bull})((?:[\\t ][^\\\\n]*)?(?:\\\\n|$))`),\n  nextBulletRegex: (indent: number) => new RegExp(`^ {0,${Math.min(3, indent - 1)}}(?:[*+-]|\\\\d{1,9}[.)])((?:[ \\t][^\\\\n]*)?(?:\\\\n|$))`),\n  hrRegex: (indent: number) => new RegExp(`^ {0,${Math.min(3, indent - 1)}}((?:- *){3,}|(?:_ *){3,}|(?:\\\\* *){3,})(?:\\\\n+|$)`),\n  fencesBeginRegex: (indent: number) => new RegExp(`^ {0,${Math.min(3, indent - 1)}}(?:\\`\\`\\`|~~~)`),\n  headingBeginRegex: (indent: number) => new RegExp(`^ {0,${Math.min(3, indent - 1)}}#`),\n  htmlBeginRegex: (indent: number) => new RegExp(`^ {0,${Math.min(3, indent - 1)}}<(?:[a-z].*>|!--)`, 'i'),\n};\n\n/**\n * Block-Level Grammar\n */\n\nconst newline = /^(?:[ \\t]*(?:\\n|$))+/;\nconst blockCode = /^((?: {4}| {0,3}\\t)[^\\n]+(?:\\n(?:[ \\t]*(?:\\n|$))*)?)+/;\nconst fences = /^ {0,3}(`{3,}(?=[^`\\n]*(?:\\n|$))|~{3,})([^\\n]*)(?:\\n|$)(?:|([\\s\\S]*?)(?:\\n|$))(?: {0,3}\\1[~`]* *(?=\\n|$)|$)/;\nconst hr = /^ {0,3}((?:-[\\t ]*){3,}|(?:_[ \\t]*){3,}|(?:\\*[ \\t]*){3,})(?:\\n+|$)/;\nconst heading = /^ {0,3}(#{1,6})(?=\\s|$)(.*)(?:\\n+|$)/;\nconst bullet = /(?:[*+-]|\\d{1,9}[.)])/;\nconst lheadingCore = /^(?!bull |blockCode|fences|blockquote|heading|html|table)((?:.|\\n(?!\\s*?\\n|bull |blockCode|fences|blockquote|heading|html|table))+?)\\n {0,3}(=+|-+) *(?:\\n+|$)/;\nconst lheading = edit(lheadingCore)\n  .replace(/bull/g, bullet) // lists can interrupt\n  .replace(/blockCode/g, /(?: {4}| {0,3}\\t)/) // indented code blocks can interrupt\n  .replace(/fences/g, / {0,3}(?:`{3,}|~{3,})/) // fenced code blocks can interrupt\n  .replace(/blockquote/g, / {0,3}>/) // blockquote can interrupt\n  .replace(/heading/g, / {0,3}#{1,6}/) // ATX heading can interrupt\n  .replace(/html/g, / {0,3}<[^\\n>]+>\\n/) // block html can interrupt\n  .replace(/\\|table/g, '') // table not in commonmark\n  .getRegex();\nconst lheadingGfm = edit(lheadingCore)\n  .replace(/bull/g, bullet) // lists can interrupt\n  .replace(/blockCode/g, /(?: {4}| {0,3}\\t)/) // indented code blocks can interrupt\n  .replace(/fences/g, / {0,3}(?:`{3,}|~{3,})/) // fenced code blocks can interrupt\n  .replace(/blockquote/g, / {0,3}>/) // blockquote can interrupt\n  .replace(/heading/g, / {0,3}#{1,6}/) // ATX heading can interrupt\n  .replace(/html/g, / {0,3}<[^\\n>]+>\\n/) // block html can interrupt\n  .replace(/table/g, / {0,3}\\|?(?:[:\\- ]*\\|)+[\\:\\- ]*\\n/) // table can interrupt\n  .getRegex();\nconst _paragraph = /^([^\\n]+(?:\\n(?!hr|heading|lheading|blockquote|fences|list|html|table| +\\n)[^\\n]+)*)/;\nconst blockText = /^[^\\n]+/;\nconst _blockLabel = /(?!\\s*\\])(?:\\\\.|[^\\[\\]\\\\])+/;\nconst def = edit(/^ {0,3}\\[(label)\\]: *(?:\\n[ \\t]*)?([^<\\s][^\\s]*|<.*?>)(?:(?: +(?:\\n[ \\t]*)?| *\\n[ \\t]*)(title))? *(?:\\n+|$)/)\n  .replace('label', _blockLabel)\n  .replace('title', /(?:\"(?:\\\\\"?|[^\"\\\\])*\"|'[^'\\n]*(?:\\n[^'\\n]+)*\\n?'|\\([^()]*\\))/)\n  .getRegex();\n\nconst list = edit(/^( {0,3}bull)([ \\t][^\\n]+?)?(?:\\n|$)/)\n  .replace(/bull/g, bullet)\n  .getRegex();\n\nconst _tag = 'address|article|aside|base|basefont|blockquote|body|caption'\n  + '|center|col|colgroup|dd|details|dialog|dir|div|dl|dt|fieldset|figcaption'\n  + '|figure|footer|form|frame|frameset|h[1-6]|head|header|hr|html|iframe'\n  + '|legend|li|link|main|menu|menuitem|meta|nav|noframes|ol|optgroup|option'\n  + '|p|param|search|section|summary|table|tbody|td|tfoot|th|thead|title'\n  + '|tr|track|ul';\nconst _comment = /<!--(?:-?>|[\\s\\S]*?(?:-->|$))/;\nconst html = edit(\n  '^ {0,3}(?:' // optional indentation\n+ '<(script|pre|style|textarea)[\\\\s>][\\\\s\\\\S]*?(?:</\\\\1>[^\\\\n]*\\\\n+|$)' // (1)\n+ '|comment[^\\\\n]*(\\\\n+|$)' // (2)\n+ '|<\\\\?[\\\\s\\\\S]*?(?:\\\\?>\\\\n*|$)' // (3)\n+ '|<![A-Z][\\\\s\\\\S]*?(?:>\\\\n*|$)' // (4)\n+ '|<!\\\\[CDATA\\\\[[\\\\s\\\\S]*?(?:\\\\]\\\\]>\\\\n*|$)' // (5)\n+ '|</?(tag)(?: +|\\\\n|/?>)[\\\\s\\\\S]*?(?:(?:\\\\n[ \\t]*)+\\\\n|$)' // (6)\n+ '|<(?!script|pre|style|textarea)([a-z][\\\\w-]*)(?:attribute)*? */?>(?=[ \\\\t]*(?:\\\\n|$))[\\\\s\\\\S]*?(?:(?:\\\\n[ \\t]*)+\\\\n|$)' // (7) open tag\n+ '|</(?!script|pre|style|textarea)[a-z][\\\\w-]*\\\\s*>(?=[ \\\\t]*(?:\\\\n|$))[\\\\s\\\\S]*?(?:(?:\\\\n[ \\t]*)+\\\\n|$)' // (7) closing tag\n+ ')', 'i')\n  .replace('comment', _comment)\n  .replace('tag', _tag)\n  .replace('attribute', / +[a-zA-Z:_][\\w.:-]*(?: *= *\"[^\"\\n]*\"| *= *'[^'\\n]*'| *= *[^\\s\"'=<>`]+)?/)\n  .getRegex();\n\nconst paragraph = edit(_paragraph)\n  .replace('hr', hr)\n  .replace('heading', ' {0,3}#{1,6}(?:\\\\s|$)')\n  .replace('|lheading', '') // setext headings don't interrupt commonmark paragraphs\n  .replace('|table', '')\n  .replace('blockquote', ' {0,3}>')\n  .replace('fences', ' {0,3}(?:`{3,}(?=[^`\\\\n]*\\\\n)|~{3,})[^\\\\n]*\\\\n')\n  .replace('list', ' {0,3}(?:[*+-]|1[.)]) ') // only lists starting from 1 can interrupt\n  .replace('html', '</?(?:tag)(?: +|\\\\n|/?>)|<(?:script|pre|style|textarea|!--)')\n  .replace('tag', _tag) // pars can be interrupted by type (6) html blocks\n  .getRegex();\n\nconst blockquote = edit(/^( {0,3}> ?(paragraph|[^\\n]*)(?:\\n|$))+/)\n  .replace('paragraph', paragraph)\n  .getRegex();\n\n/**\n * Normal Block Grammar\n */\n\nconst blockNormal = {\n  blockquote,\n  code: blockCode,\n  def,\n  fences,\n  heading,\n  hr,\n  html,\n  lheading,\n  list,\n  newline,\n  paragraph,\n  table: noopTest,\n  text: blockText,\n};\n\ntype BlockKeys = keyof typeof blockNormal;\n\n/**\n * GFM Block Grammar\n */\n\nconst gfmTable = edit(\n  '^ *([^\\\\n ].*)\\\\n' // Header\n+ ' {0,3}((?:\\\\| *)?:?-+:? *(?:\\\\| *:?-+:? *)*(?:\\\\| *)?)' // Align\n+ '(?:\\\\n((?:(?! *\\\\n|hr|heading|blockquote|code|fences|list|html).*(?:\\\\n|$))*)\\\\n*|$)') // Cells\n  .replace('hr', hr)\n  .replace('heading', ' {0,3}#{1,6}(?:\\\\s|$)')\n  .replace('blockquote', ' {0,3}>')\n  .replace('code', '(?: {4}| {0,3}\\t)[^\\\\n]')\n  .replace('fences', ' {0,3}(?:`{3,}(?=[^`\\\\n]*\\\\n)|~{3,})[^\\\\n]*\\\\n')\n  .replace('list', ' {0,3}(?:[*+-]|1[.)]) ') // only lists starting from 1 can interrupt\n  .replace('html', '</?(?:tag)(?: +|\\\\n|/?>)|<(?:script|pre|style|textarea|!--)')\n  .replace('tag', _tag) // tables can be interrupted by type (6) html blocks\n  .getRegex();\n\nconst blockGfm: Record<BlockKeys, RegExp> = {\n  ...blockNormal,\n  lheading: lheadingGfm,\n  table: gfmTable,\n  paragraph: edit(_paragraph)\n    .replace('hr', hr)\n    .replace('heading', ' {0,3}#{1,6}(?:\\\\s|$)')\n    .replace('|lheading', '') // setext headings don't interrupt commonmark paragraphs\n    .replace('table', gfmTable) // interrupt paragraphs with table\n    .replace('blockquote', ' {0,3}>')\n    .replace('fences', ' {0,3}(?:`{3,}(?=[^`\\\\n]*\\\\n)|~{3,})[^\\\\n]*\\\\n')\n    .replace('list', ' {0,3}(?:[*+-]|1[.)]) ') // only lists starting from 1 can interrupt\n    .replace('html', '</?(?:tag)(?: +|\\\\n|/?>)|<(?:script|pre|style|textarea|!--)')\n    .replace('tag', _tag) // pars can be interrupted by type (6) html blocks\n    .getRegex(),\n};\n\n/**\n * Pedantic grammar (original John Gruber's loose markdown specification)\n */\n\nconst blockPedantic: Record<BlockKeys, RegExp> = {\n  ...blockNormal,\n  html: edit(\n    '^ *(?:comment *(?:\\\\n|\\\\s*$)'\n    + '|<(tag)[\\\\s\\\\S]+?</\\\\1> *(?:\\\\n{2,}|\\\\s*$)' // closed tag\n    + '|<tag(?:\"[^\"]*\"|\\'[^\\']*\\'|\\\\s[^\\'\"/>\\\\s]*)*?/?> *(?:\\\\n{2,}|\\\\s*$))')\n    .replace('comment', _comment)\n    .replace(/tag/g, '(?!(?:'\n      + 'a|em|strong|small|s|cite|q|dfn|abbr|data|time|code|var|samp|kbd|sub'\n      + '|sup|i|b|u|mark|ruby|rt|rp|bdi|bdo|span|br|wbr|ins|del|img)'\n      + '\\\\b)\\\\w+(?!:|[^\\\\w\\\\s@]*@)\\\\b')\n    .getRegex(),\n  def: /^ *\\[([^\\]]+)\\]: *<?([^\\s>]+)>?(?: +([\"(][^\\n]+[\")]))? *(?:\\n+|$)/,\n  heading: /^(#{1,6})(.*)(?:\\n+|$)/,\n  fences: noopTest, // fences not supported\n  lheading: /^(.+?)\\n {0,3}(=+|-+) *(?:\\n+|$)/,\n  paragraph: edit(_paragraph)\n    .replace('hr', hr)\n    .replace('heading', ' *#{1,6} *[^\\n]')\n    .replace('lheading', lheading)\n    .replace('|table', '')\n    .replace('blockquote', ' {0,3}>')\n    .replace('|fences', '')\n    .replace('|list', '')\n    .replace('|html', '')\n    .replace('|tag', '')\n    .getRegex(),\n};\n\n/**\n * Inline-Level Grammar\n */\n\nconst escape = /^\\\\([!\"#$%&'()*+,\\-./:;<=>?@\\[\\]\\\\^_`{|}~])/;\nconst inlineCode = /^(`+)([^`]|[^`][\\s\\S]*?[^`])\\1(?!`)/;\nconst br = /^( {2,}|\\\\)\\n(?!\\s*$)/;\nconst inlineText = /^(`+|[^`])(?:(?= {2,}\\n)|[\\s\\S]*?(?:(?=[\\\\<!\\[`*_]|\\b_|$)|[^ ](?= {2,}\\n)))/;\n\n// list of unicode punctuation marks, plus any missing characters from CommonMark spec\nconst _punctuation = /[\\p{P}\\p{S}]/u;\nconst _punctuationOrSpace = /[\\s\\p{P}\\p{S}]/u;\nconst _notPunctuationOrSpace = /[^\\s\\p{P}\\p{S}]/u;\nconst punctuation = edit(/^((?![*_])punctSpace)/, 'u')\n  .replace(/punctSpace/g, _punctuationOrSpace).getRegex();\n\n// GFM allows ~ inside strong and em for strikethrough\nconst _punctuationGfmStrongEm = /(?!~)[\\p{P}\\p{S}]/u;\nconst _punctuationOrSpaceGfmStrongEm = /(?!~)[\\s\\p{P}\\p{S}]/u;\nconst _notPunctuationOrSpaceGfmStrongEm = /(?:[^\\s\\p{P}\\p{S}]|~)/u;\n\n// sequences em should skip over [title](link), `code`, <html>\nconst blockSkip = /\\[[^[\\]]*?\\]\\((?:\\\\.|[^\\\\\\(\\)]|\\((?:\\\\.|[^\\\\\\(\\)])*\\))*\\)|`[^`]*?`|<[^<>]*?>/g;\n\nconst emStrongLDelimCore = /^(?:\\*+(?:((?!\\*)punct)|[^\\s*]))|^_+(?:((?!_)punct)|([^\\s_]))/;\n\nconst emStrongLDelim = edit(emStrongLDelimCore, 'u')\n  .replace(/punct/g, _punctuation)\n  .getRegex();\n\nconst emStrongLDelimGfm = edit(emStrongLDelimCore, 'u')\n  .replace(/punct/g, _punctuationGfmStrongEm)\n  .getRegex();\n\nconst emStrongRDelimAstCore =\n  '^[^_*]*?__[^_*]*?\\\\*[^_*]*?(?=__)' // Skip orphan inside strong\n+ '|[^*]+(?=[^*])' // Consume to delim\n+ '|(?!\\\\*)punct(\\\\*+)(?=[\\\\s]|$)' // (1) #*** can only be a Right Delimiter\n+ '|notPunctSpace(\\\\*+)(?!\\\\*)(?=punctSpace|$)' // (2) a***#, a*** can only be a Right Delimiter\n+ '|(?!\\\\*)punctSpace(\\\\*+)(?=notPunctSpace)' // (3) #***a, ***a can only be Left Delimiter\n+ '|[\\\\s](\\\\*+)(?!\\\\*)(?=punct)' // (4) ***# can only be Left Delimiter\n+ '|(?!\\\\*)punct(\\\\*+)(?!\\\\*)(?=punct)' // (5) #***# can be either Left or Right Delimiter\n+ '|notPunctSpace(\\\\*+)(?=notPunctSpace)'; // (6) a***a can be either Left or Right Delimiter\n\nconst emStrongRDelimAst = edit(emStrongRDelimAstCore, 'gu')\n  .replace(/notPunctSpace/g, _notPunctuationOrSpace)\n  .replace(/punctSpace/g, _punctuationOrSpace)\n  .replace(/punct/g, _punctuation)\n  .getRegex();\n\nconst emStrongRDelimAstGfm = edit(emStrongRDelimAstCore, 'gu')\n  .replace(/notPunctSpace/g, _notPunctuationOrSpaceGfmStrongEm)\n  .replace(/punctSpace/g, _punctuationOrSpaceGfmStrongEm)\n  .replace(/punct/g, _punctuationGfmStrongEm)\n  .getRegex();\n\n// (6) Not allowed for _\nconst emStrongRDelimUnd = edit(\n  '^[^_*]*?\\\\*\\\\*[^_*]*?_[^_*]*?(?=\\\\*\\\\*)' // Skip orphan inside strong\n+ '|[^_]+(?=[^_])' // Consume to delim\n+ '|(?!_)punct(_+)(?=[\\\\s]|$)' // (1) #___ can only be a Right Delimiter\n+ '|notPunctSpace(_+)(?!_)(?=punctSpace|$)' // (2) a___#, a___ can only be a Right Delimiter\n+ '|(?!_)punctSpace(_+)(?=notPunctSpace)' // (3) #___a, ___a can only be Left Delimiter\n+ '|[\\\\s](_+)(?!_)(?=punct)' // (4) ___# can only be Left Delimiter\n+ '|(?!_)punct(_+)(?!_)(?=punct)', 'gu') // (5) #___# can be either Left or Right Delimiter\n  .replace(/notPunctSpace/g, _notPunctuationOrSpace)\n  .replace(/punctSpace/g, _punctuationOrSpace)\n  .replace(/punct/g, _punctuation)\n  .getRegex();\n\nconst anyPunctuation = edit(/\\\\(punct)/, 'gu')\n  .replace(/punct/g, _punctuation)\n  .getRegex();\n\nconst autolink = edit(/^<(scheme:[^\\s\\x00-\\x1f<>]*|email)>/)\n  .replace('scheme', /[a-zA-Z][a-zA-Z0-9+.-]{1,31}/)\n  .replace('email', /[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/)\n  .getRegex();\n\nconst _inlineComment = edit(_comment).replace('(?:-->|$)', '-->').getRegex();\nconst tag = edit(\n  '^comment'\n    + '|^</[a-zA-Z][\\\\w:-]*\\\\s*>' // self-closing tag\n    + '|^<[a-zA-Z][\\\\w-]*(?:attribute)*?\\\\s*/?>' // open tag\n    + '|^<\\\\?[\\\\s\\\\S]*?\\\\?>' // processing instruction, e.g. <?php ?>\n    + '|^<![a-zA-Z]+\\\\s[\\\\s\\\\S]*?>' // declaration, e.g. <!DOCTYPE html>\n    + '|^<!\\\\[CDATA\\\\[[\\\\s\\\\S]*?\\\\]\\\\]>') // CDATA section\n  .replace('comment', _inlineComment)\n  .replace('attribute', /\\s+[a-zA-Z:_][\\w.:-]*(?:\\s*=\\s*\"[^\"]*\"|\\s*=\\s*'[^']*'|\\s*=\\s*[^\\s\"'=<>`]+)?/)\n  .getRegex();\n\nconst _inlineLabel = /(?:\\[(?:\\\\.|[^\\[\\]\\\\])*\\]|\\\\.|`[^`]*`|[^\\[\\]\\\\`])*?/;\n\nconst link = edit(/^!?\\[(label)\\]\\(\\s*(href)(?:(?:[ \\t]*(?:\\n[ \\t]*)?)(title))?\\s*\\)/)\n  .replace('label', _inlineLabel)\n  .replace('href', /<(?:\\\\.|[^\\n<>\\\\])+>|[^ \\t\\n\\x00-\\x1f]*/)\n  .replace('title', /\"(?:\\\\\"?|[^\"\\\\])*\"|'(?:\\\\'?|[^'\\\\])*'|\\((?:\\\\\\)?|[^)\\\\])*\\)/)\n  .getRegex();\n\nconst reflink = edit(/^!?\\[(label)\\]\\[(ref)\\]/)\n  .replace('label', _inlineLabel)\n  .replace('ref', _blockLabel)\n  .getRegex();\n\nconst nolink = edit(/^!?\\[(ref)\\](?:\\[\\])?/)\n  .replace('ref', _blockLabel)\n  .getRegex();\n\nconst reflinkSearch = edit('reflink|nolink(?!\\\\()', 'g')\n  .replace('reflink', reflink)\n  .replace('nolink', nolink)\n  .getRegex();\n\n/**\n * Normal Inline Grammar\n */\n\nconst inlineNormal = {\n  _backpedal: noopTest, // only used for GFM url\n  anyPunctuation,\n  autolink,\n  blockSkip,\n  br,\n  code: inlineCode,\n  del: noopTest,\n  emStrongLDelim,\n  emStrongRDelimAst,\n  emStrongRDelimUnd,\n  escape,\n  link,\n  nolink,\n  punctuation,\n  reflink,\n  reflinkSearch,\n  tag,\n  text: inlineText,\n  url: noopTest,\n};\n\ntype InlineKeys = keyof typeof inlineNormal;\n\n/**\n * Pedantic Inline Grammar\n */\n\nconst inlinePedantic: Record<InlineKeys, RegExp> = {\n  ...inlineNormal,\n  link: edit(/^!?\\[(label)\\]\\((.*?)\\)/)\n    .replace('label', _inlineLabel)\n    .getRegex(),\n  reflink: edit(/^!?\\[(label)\\]\\s*\\[([^\\]]*)\\]/)\n    .replace('label', _inlineLabel)\n    .getRegex(),\n};\n\n/**\n * GFM Inline Grammar\n */\n\nconst inlineGfm: Record<InlineKeys, RegExp> = {\n  ...inlineNormal,\n  emStrongRDelimAst: emStrongRDelimAstGfm,\n  emStrongLDelim: emStrongLDelimGfm,\n  url: edit(/^((?:ftp|https?):\\/\\/|www\\.)(?:[a-zA-Z0-9\\-]+\\.?)+[^\\s<]*|^email/, 'i')\n    .replace('email', /[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/)\n    .getRegex(),\n  _backpedal: /(?:[^?!.,:;*_'\"~()&]+|\\([^)]*\\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'\"~)]+(?!$))+/,\n  del: /^(~~?)(?=[^\\s~])((?:\\\\.|[^\\\\])*?(?:\\\\.|[^\\s~\\\\]))\\1(?=[^~]|$)/,\n  text: /^([`~]+|[^`~])(?:(?= {2,}\\n)|(?=[a-zA-Z0-9.!#$%&'*+\\/=?_`{\\|}~-]+@)|[\\s\\S]*?(?:(?=[\\\\<!\\[`*~_]|\\b_|https?:\\/\\/|ftp:\\/\\/|www\\.|$)|[^ ](?= {2,}\\n)|[^a-zA-Z0-9.!#$%&'*+\\/=?_`{\\|}~-](?=[a-zA-Z0-9.!#$%&'*+\\/=?_`{\\|}~-]+@)))/,\n};\n\n/**\n * GFM + Line Breaks Inline Grammar\n */\n\nconst inlineBreaks: Record<InlineKeys, RegExp> = {\n  ...inlineGfm,\n  br: edit(br).replace('{2,}', '*').getRegex(),\n  text: edit(inlineGfm.text)\n    .replace('\\\\b_', '\\\\b_| {2,}\\\\n')\n    .replace(/\\{2,\\}/g, '*')\n    .getRegex(),\n};\n\n/**\n * exports\n */\n\nexport const block = {\n  normal: blockNormal,\n  gfm: blockGfm,\n  pedantic: blockPedantic,\n};\n\nexport const inline = {\n  normal: inlineNormal,\n  gfm: inlineGfm,\n  breaks: inlineBreaks,\n  pedantic: inlinePedantic,\n};\n\nexport interface Rules {\n  other: typeof other\n  block: Record<BlockKeys, RegExp>\n  inline: Record<InlineKeys, RegExp>\n}\n", "import { other } from './rules.ts';\n\n/**\n * Helpers\n */\nconst escapeReplacements: { [index: string]: string } = {\n  '&': '&amp;',\n  '<': '&lt;',\n  '>': '&gt;',\n  '\"': '&quot;',\n  \"'\": '&#39;',\n};\nconst getEscapeReplacement = (ch: string) => escapeReplacements[ch];\n\nexport function escape(html: string, encode?: boolean) {\n  if (encode) {\n    if (other.escapeTest.test(html)) {\n      return html.replace(other.escapeReplace, getEscapeReplacement);\n    }\n  } else {\n    if (other.escapeTestNoEncode.test(html)) {\n      return html.replace(other.escapeReplaceNoEncode, getEscapeReplacement);\n    }\n  }\n\n  return html;\n}\n\nexport function unescape(html: string) {\n  // explicitly match decimal, hex, and named HTML entities\n  return html.replace(other.unescapeTest, (_, n) => {\n    n = n.toLowerCase();\n    if (n === 'colon') return ':';\n    if (n.charAt(0) === '#') {\n      return n.charAt(1) === 'x'\n        ? String.fromCharCode(parseInt(n.substring(2), 16))\n        : String.fromCharCode(+n.substring(1));\n    }\n    return '';\n  });\n}\n\nexport function cleanUrl(href: string) {\n  try {\n    href = encodeURI(href).replace(other.percentDecode, '%');\n  } catch {\n    return null;\n  }\n  return href;\n}\n\nexport function splitCells(tableRow: string, count?: number) {\n  // ensure that every cell-delimiting pipe has a space\n  // before it to distinguish it from an escaped pipe\n  const row = tableRow.replace(other.findPipe, (match, offset, str) => {\n      let escaped = false;\n      let curr = offset;\n      while (--curr >= 0 && str[curr] === '\\\\') escaped = !escaped;\n      if (escaped) {\n        // odd number of slashes means | is escaped\n        // so we leave it alone\n        return '|';\n      } else {\n        // add space before unescaped |\n        return ' |';\n      }\n    }),\n    cells = row.split(other.splitPipe);\n  let i = 0;\n\n  // First/last cell in a row cannot be empty if it has no leading/trailing pipe\n  if (!cells[0].trim()) {\n    cells.shift();\n  }\n  if (cells.length > 0 && !cells.at(-1)?.trim()) {\n    cells.pop();\n  }\n\n  if (count) {\n    if (cells.length > count) {\n      cells.splice(count);\n    } else {\n      while (cells.length < count) cells.push('');\n    }\n  }\n\n  for (; i < cells.length; i++) {\n    // leading or trailing whitespace is ignored per the gfm spec\n    cells[i] = cells[i].trim().replace(other.slashPipe, '|');\n  }\n  return cells;\n}\n\n/**\n * Remove trailing 'c's. Equivalent to str.replace(/c*$/, '').\n * /c*$/ is vulnerable to REDOS.\n *\n * @param str\n * @param c\n * @param invert Remove suffix of non-c chars instead. Default falsey.\n */\nexport function rtrim(str: string, c: string, invert?: boolean) {\n  const l = str.length;\n  if (l === 0) {\n    return '';\n  }\n\n  // Length of suffix matching the invert condition.\n  let suffLen = 0;\n\n  // Step left until we fail to match the invert condition.\n  while (suffLen < l) {\n    const currChar = str.charAt(l - suffLen - 1);\n    if (currChar === c && !invert) {\n      suffLen++;\n    } else if (currChar !== c && invert) {\n      suffLen++;\n    } else {\n      break;\n    }\n  }\n\n  return str.slice(0, l - suffLen);\n}\n\nexport function findClosingBracket(str: string, b: string) {\n  if (str.indexOf(b[1]) === -1) {\n    return -1;\n  }\n\n  let level = 0;\n  for (let i = 0; i < str.length; i++) {\n    if (str[i] === '\\\\') {\n      i++;\n    } else if (str[i] === b[0]) {\n      level++;\n    } else if (str[i] === b[1]) {\n      level--;\n      if (level < 0) {\n        return i;\n      }\n    }\n  }\n  if (level > 0) {\n    return -2;\n  }\n\n  return -1;\n}\n", "import { _defaults } from './defaults.ts';\nimport {\n  rtrim,\n  splitCells,\n  findClosingBracket,\n} from './helpers.ts';\nimport type { Rules } from './rules.ts';\nimport type { _Lexer } from './Lexer.ts';\nimport type { Links, Tokens, Token } from './Tokens.ts';\nimport type { MarkedOptions } from './MarkedOptions.ts';\n\nfunction outputLink(cap: string[], link: Pick<Tokens.Link, 'href' | 'title'>, raw: string, lexer: _Lexer, rules: Rules): Tokens.Link | Tokens.Image {\n  const href = link.href;\n  const title = link.title || null;\n  const text = cap[1].replace(rules.other.outputLinkReplace, '$1');\n\n  lexer.state.inLink = true;\n  const token: Tokens.Link | Tokens.Image = {\n    type: cap[0].charAt(0) === '!' ? 'image' : 'link',\n    raw,\n    href,\n    title,\n    text,\n    tokens: lexer.inlineTokens(text),\n  };\n  lexer.state.inLink = false;\n  return token;\n}\n\nfunction indentCodeCompensation(raw: string, text: string, rules: Rules) {\n  const matchIndentToCode = raw.match(rules.other.indentCodeCompensation);\n\n  if (matchIndentToCode === null) {\n    return text;\n  }\n\n  const indentToCode = matchIndentToCode[1];\n\n  return text\n    .split('\\n')\n    .map(node => {\n      const matchIndentInNode = node.match(rules.other.beginningSpace);\n      if (matchIndentInNode === null) {\n        return node;\n      }\n\n      const [indentInNode] = matchIndentInNode;\n\n      if (indentInNode.length >= indentToCode.length) {\n        return node.slice(indentToCode.length);\n      }\n\n      return node;\n    })\n    .join('\\n');\n}\n\n/**\n * Tokenizer\n */\nexport class _Tokenizer {\n  options: MarkedOptions;\n  rules!: Rules; // set by the lexer\n  lexer!: _Lexer; // set by the lexer\n\n  constructor(options?: MarkedOptions) {\n    this.options = options || _defaults;\n  }\n\n  space(src: string): Tokens.Space | undefined {\n    const cap = this.rules.block.newline.exec(src);\n    if (cap && cap[0].length > 0) {\n      return {\n        type: 'space',\n        raw: cap[0],\n      };\n    }\n  }\n\n  code(src: string): Tokens.Code | undefined {\n    const cap = this.rules.block.code.exec(src);\n    if (cap) {\n      const text = cap[0].replace(this.rules.other.codeRemoveIndent, '');\n      return {\n        type: 'code',\n        raw: cap[0],\n        codeBlockStyle: 'indented',\n        text: !this.options.pedantic\n          ? rtrim(text, '\\n')\n          : text,\n      };\n    }\n  }\n\n  fences(src: string): Tokens.Code | undefined {\n    const cap = this.rules.block.fences.exec(src);\n    if (cap) {\n      const raw = cap[0];\n      const text = indentCodeCompensation(raw, cap[3] || '', this.rules);\n\n      return {\n        type: 'code',\n        raw,\n        lang: cap[2] ? cap[2].trim().replace(this.rules.inline.anyPunctuation, '$1') : cap[2],\n        text,\n      };\n    }\n  }\n\n  heading(src: string): Tokens.Heading | undefined {\n    const cap = this.rules.block.heading.exec(src);\n    if (cap) {\n      let text = cap[2].trim();\n\n      // remove trailing #s\n      if (this.rules.other.endingHash.test(text)) {\n        const trimmed = rtrim(text, '#');\n        if (this.options.pedantic) {\n          text = trimmed.trim();\n        } else if (!trimmed || this.rules.other.endingSpaceChar.test(trimmed)) {\n          // CommonMark requires space before trailing #s\n          text = trimmed.trim();\n        }\n      }\n\n      return {\n        type: 'heading',\n        raw: cap[0],\n        depth: cap[1].length,\n        text,\n        tokens: this.lexer.inline(text),\n      };\n    }\n  }\n\n  hr(src: string): Tokens.Hr | undefined {\n    const cap = this.rules.block.hr.exec(src);\n    if (cap) {\n      return {\n        type: 'hr',\n        raw: rtrim(cap[0], '\\n'),\n      };\n    }\n  }\n\n  blockquote(src: string): Tokens.Blockquote | undefined {\n    const cap = this.rules.block.blockquote.exec(src);\n    if (cap) {\n      let lines = rtrim(cap[0], '\\n').split('\\n');\n      let raw = '';\n      let text = '';\n      const tokens: Token[] = [];\n\n      while (lines.length > 0) {\n        let inBlockquote = false;\n        const currentLines = [];\n\n        let i;\n        for (i = 0; i < lines.length; i++) {\n          // get lines up to a continuation\n          if (this.rules.other.blockquoteStart.test(lines[i])) {\n            currentLines.push(lines[i]);\n            inBlockquote = true;\n          } else if (!inBlockquote) {\n            currentLines.push(lines[i]);\n          } else {\n            break;\n          }\n        }\n        lines = lines.slice(i);\n\n        const currentRaw = currentLines.join('\\n');\n        const currentText = currentRaw\n          // precede setext continuation with 4 spaces so it isn't a setext\n          .replace(this.rules.other.blockquoteSetextReplace, '\\n    $1')\n          .replace(this.rules.other.blockquoteSetextReplace2, '');\n        raw = raw ? `${raw}\\n${currentRaw}` : currentRaw;\n        text = text ? `${text}\\n${currentText}` : currentText;\n\n        // parse blockquote lines as top level tokens\n        // merge paragraphs if this is a continuation\n        const top = this.lexer.state.top;\n        this.lexer.state.top = true;\n        this.lexer.blockTokens(currentText, tokens, true);\n        this.lexer.state.top = top;\n\n        // if there is no continuation then we are done\n        if (lines.length === 0) {\n          break;\n        }\n\n        const lastToken = tokens.at(-1);\n\n        if (lastToken?.type === 'code') {\n          // blockquote continuation cannot be preceded by a code block\n          break;\n        } else if (lastToken?.type === 'blockquote') {\n          // include continuation in nested blockquote\n          const oldToken = lastToken as Tokens.Blockquote;\n          const newText = oldToken.raw + '\\n' + lines.join('\\n');\n          const newToken = this.blockquote(newText)!;\n          tokens[tokens.length - 1] = newToken;\n\n          raw = raw.substring(0, raw.length - oldToken.raw.length) + newToken.raw;\n          text = text.substring(0, text.length - oldToken.text.length) + newToken.text;\n          break;\n        } else if (lastToken?.type === 'list') {\n          // include continuation in nested list\n          const oldToken = lastToken as Tokens.List;\n          const newText = oldToken.raw + '\\n' + lines.join('\\n');\n          const newToken = this.list(newText)!;\n          tokens[tokens.length - 1] = newToken;\n\n          raw = raw.substring(0, raw.length - lastToken.raw.length) + newToken.raw;\n          text = text.substring(0, text.length - oldToken.raw.length) + newToken.raw;\n          lines = newText.substring(tokens.at(-1)!.raw.length).split('\\n');\n          continue;\n        }\n      }\n\n      return {\n        type: 'blockquote',\n        raw,\n        tokens,\n        text,\n      };\n    }\n  }\n\n  list(src: string): Tokens.List | undefined {\n    let cap = this.rules.block.list.exec(src);\n    if (cap) {\n      let bull = cap[1].trim();\n      const isordered = bull.length > 1;\n\n      const list: Tokens.List = {\n        type: 'list',\n        raw: '',\n        ordered: isordered,\n        start: isordered ? +bull.slice(0, -1) : '',\n        loose: false,\n        items: [],\n      };\n\n      bull = isordered ? `\\\\d{1,9}\\\\${bull.slice(-1)}` : `\\\\${bull}`;\n\n      if (this.options.pedantic) {\n        bull = isordered ? bull : '[*+-]';\n      }\n\n      // Get next list item\n      const itemRegex = this.rules.other.listItemRegex(bull);\n      let endsWithBlankLine = false;\n      // Check if current bullet point can start a new List Item\n      while (src) {\n        let endEarly = false;\n        let raw = '';\n        let itemContents = '';\n        if (!(cap = itemRegex.exec(src))) {\n          break;\n        }\n\n        if (this.rules.block.hr.test(src)) { // End list if bullet was actually HR (possibly move into itemRegex?)\n          break;\n        }\n\n        raw = cap[0];\n        src = src.substring(raw.length);\n\n        let line = cap[2].split('\\n', 1)[0].replace(this.rules.other.listReplaceTabs, (t: string) => ' '.repeat(3 * t.length));\n        let nextLine = src.split('\\n', 1)[0];\n        let blankLine = !line.trim();\n\n        let indent = 0;\n        if (this.options.pedantic) {\n          indent = 2;\n          itemContents = line.trimStart();\n        } else if (blankLine) {\n          indent = cap[1].length + 1;\n        } else {\n          indent = cap[2].search(this.rules.other.nonSpaceChar); // Find first non-space char\n          indent = indent > 4 ? 1 : indent; // Treat indented code blocks (> 4 spaces) as having only 1 indent\n          itemContents = line.slice(indent);\n          indent += cap[1].length;\n        }\n\n        if (blankLine && this.rules.other.blankLine.test(nextLine)) { // Items begin with at most one blank line\n          raw += nextLine + '\\n';\n          src = src.substring(nextLine.length + 1);\n          endEarly = true;\n        }\n\n        if (!endEarly) {\n          const nextBulletRegex = this.rules.other.nextBulletRegex(indent);\n          const hrRegex = this.rules.other.hrRegex(indent);\n          const fencesBeginRegex = this.rules.other.fencesBeginRegex(indent);\n          const headingBeginRegex = this.rules.other.headingBeginRegex(indent);\n          const htmlBeginRegex = this.rules.other.htmlBeginRegex(indent);\n\n          // Check if following lines should be included in List Item\n          while (src) {\n            const rawLine = src.split('\\n', 1)[0];\n            let nextLineWithoutTabs;\n            nextLine = rawLine;\n\n            // Re-align to follow commonmark nesting rules\n            if (this.options.pedantic) {\n              nextLine = nextLine.replace(this.rules.other.listReplaceNesting, '  ');\n              nextLineWithoutTabs = nextLine;\n            } else {\n              nextLineWithoutTabs = nextLine.replace(this.rules.other.tabCharGlobal, '    ');\n            }\n\n            // End list item if found code fences\n            if (fencesBeginRegex.test(nextLine)) {\n              break;\n            }\n\n            // End list item if found start of new heading\n            if (headingBeginRegex.test(nextLine)) {\n              break;\n            }\n\n            // End list item if found start of html block\n            if (htmlBeginRegex.test(nextLine)) {\n              break;\n            }\n\n            // End list item if found start of new bullet\n            if (nextBulletRegex.test(nextLine)) {\n              break;\n            }\n\n            // Horizontal rule found\n            if (hrRegex.test(nextLine)) {\n              break;\n            }\n\n            if (nextLineWithoutTabs.search(this.rules.other.nonSpaceChar) >= indent || !nextLine.trim()) { // Dedent if possible\n              itemContents += '\\n' + nextLineWithoutTabs.slice(indent);\n            } else {\n              // not enough indentation\n              if (blankLine) {\n                break;\n              }\n\n              // paragraph continuation unless last line was a different block level element\n              if (line.replace(this.rules.other.tabCharGlobal, '    ').search(this.rules.other.nonSpaceChar) >= 4) { // indented code block\n                break;\n              }\n              if (fencesBeginRegex.test(line)) {\n                break;\n              }\n              if (headingBeginRegex.test(line)) {\n                break;\n              }\n              if (hrRegex.test(line)) {\n                break;\n              }\n\n              itemContents += '\\n' + nextLine;\n            }\n\n            if (!blankLine && !nextLine.trim()) { // Check if current line is blank\n              blankLine = true;\n            }\n\n            raw += rawLine + '\\n';\n            src = src.substring(rawLine.length + 1);\n            line = nextLineWithoutTabs.slice(indent);\n          }\n        }\n\n        if (!list.loose) {\n          // If the previous item ended with a blank line, the list is loose\n          if (endsWithBlankLine) {\n            list.loose = true;\n          } else if (this.rules.other.doubleBlankLine.test(raw)) {\n            endsWithBlankLine = true;\n          }\n        }\n\n        let istask: RegExpExecArray | null = null;\n        let ischecked: boolean | undefined;\n        // Check for task list items\n        if (this.options.gfm) {\n          istask = this.rules.other.listIsTask.exec(itemContents);\n          if (istask) {\n            ischecked = istask[0] !== '[ ] ';\n            itemContents = itemContents.replace(this.rules.other.listReplaceTask, '');\n          }\n        }\n\n        list.items.push({\n          type: 'list_item',\n          raw,\n          task: !!istask,\n          checked: ischecked,\n          loose: false,\n          text: itemContents,\n          tokens: [],\n        });\n\n        list.raw += raw;\n      }\n\n      // Do not consume newlines at end of final item. Alternatively, make itemRegex *start* with any newlines to simplify/speed up endsWithBlankLine logic\n      const lastItem = list.items.at(-1);\n      if (lastItem) {\n        lastItem.raw = lastItem.raw.trimEnd();\n        lastItem.text = lastItem.text.trimEnd();\n      } else {\n        // not a list since there were no items\n        return;\n      }\n      list.raw = list.raw.trimEnd();\n\n      // Item child tokens handled here at end because we needed to have the final item to trim it first\n      for (let i = 0; i < list.items.length; i++) {\n        this.lexer.state.top = false;\n        list.items[i].tokens = this.lexer.blockTokens(list.items[i].text, []);\n\n        if (!list.loose) {\n          // Check if list should be loose\n          const spacers = list.items[i].tokens.filter(t => t.type === 'space');\n          const hasMultipleLineBreaks = spacers.length > 0 && spacers.some(t => this.rules.other.anyLine.test(t.raw));\n\n          list.loose = hasMultipleLineBreaks;\n        }\n      }\n\n      // Set all items to loose if list is loose\n      if (list.loose) {\n        for (let i = 0; i < list.items.length; i++) {\n          list.items[i].loose = true;\n        }\n      }\n\n      return list;\n    }\n  }\n\n  html(src: string): Tokens.HTML | undefined {\n    const cap = this.rules.block.html.exec(src);\n    if (cap) {\n      const token: Tokens.HTML = {\n        type: 'html',\n        block: true,\n        raw: cap[0],\n        pre: cap[1] === 'pre' || cap[1] === 'script' || cap[1] === 'style',\n        text: cap[0],\n      };\n      return token;\n    }\n  }\n\n  def(src: string): Tokens.Def | undefined {\n    const cap = this.rules.block.def.exec(src);\n    if (cap) {\n      const tag = cap[1].toLowerCase().replace(this.rules.other.multipleSpaceGlobal, ' ');\n      const href = cap[2] ? cap[2].replace(this.rules.other.hrefBrackets, '$1').replace(this.rules.inline.anyPunctuation, '$1') : '';\n      const title = cap[3] ? cap[3].substring(1, cap[3].length - 1).replace(this.rules.inline.anyPunctuation, '$1') : cap[3];\n      return {\n        type: 'def',\n        tag,\n        raw: cap[0],\n        href,\n        title,\n      };\n    }\n  }\n\n  table(src: string): Tokens.Table | undefined {\n    const cap = this.rules.block.table.exec(src);\n    if (!cap) {\n      return;\n    }\n\n    if (!this.rules.other.tableDelimiter.test(cap[2])) {\n      // delimiter row must have a pipe (|) or colon (:) otherwise it is a setext heading\n      return;\n    }\n\n    const headers = splitCells(cap[1]);\n    const aligns = cap[2].replace(this.rules.other.tableAlignChars, '').split('|');\n    const rows = cap[3]?.trim() ? cap[3].replace(this.rules.other.tableRowBlankLine, '').split('\\n') : [];\n\n    const item: Tokens.Table = {\n      type: 'table',\n      raw: cap[0],\n      header: [],\n      align: [],\n      rows: [],\n    };\n\n    if (headers.length !== aligns.length) {\n      // header and align columns must be equal, rows can be different.\n      return;\n    }\n\n    for (const align of aligns) {\n      if (this.rules.other.tableAlignRight.test(align)) {\n        item.align.push('right');\n      } else if (this.rules.other.tableAlignCenter.test(align)) {\n        item.align.push('center');\n      } else if (this.rules.other.tableAlignLeft.test(align)) {\n        item.align.push('left');\n      } else {\n        item.align.push(null);\n      }\n    }\n\n    for (let i = 0; i < headers.length; i++) {\n      item.header.push({\n        text: headers[i],\n        tokens: this.lexer.inline(headers[i]),\n        header: true,\n        align: item.align[i],\n      });\n    }\n\n    for (const row of rows) {\n      item.rows.push(splitCells(row, item.header.length).map((cell, i) => {\n        return {\n          text: cell,\n          tokens: this.lexer.inline(cell),\n          header: false,\n          align: item.align[i],\n        };\n      }));\n    }\n\n    return item;\n  }\n\n  lheading(src: string): Tokens.Heading | undefined {\n    const cap = this.rules.block.lheading.exec(src);\n    if (cap) {\n      return {\n        type: 'heading',\n        raw: cap[0],\n        depth: cap[2].charAt(0) === '=' ? 1 : 2,\n        text: cap[1],\n        tokens: this.lexer.inline(cap[1]),\n      };\n    }\n  }\n\n  paragraph(src: string): Tokens.Paragraph | undefined {\n    const cap = this.rules.block.paragraph.exec(src);\n    if (cap) {\n      const text = cap[1].charAt(cap[1].length - 1) === '\\n'\n        ? cap[1].slice(0, -1)\n        : cap[1];\n      return {\n        type: 'paragraph',\n        raw: cap[0],\n        text,\n        tokens: this.lexer.inline(text),\n      };\n    }\n  }\n\n  text(src: string): Tokens.Text | undefined {\n    const cap = this.rules.block.text.exec(src);\n    if (cap) {\n      return {\n        type: 'text',\n        raw: cap[0],\n        text: cap[0],\n        tokens: this.lexer.inline(cap[0]),\n      };\n    }\n  }\n\n  escape(src: string): Tokens.Escape | undefined {\n    const cap = this.rules.inline.escape.exec(src);\n    if (cap) {\n      return {\n        type: 'escape',\n        raw: cap[0],\n        text: cap[1],\n      };\n    }\n  }\n\n  tag(src: string): Tokens.Tag | undefined {\n    const cap = this.rules.inline.tag.exec(src);\n    if (cap) {\n      if (!this.lexer.state.inLink && this.rules.other.startATag.test(cap[0])) {\n        this.lexer.state.inLink = true;\n      } else if (this.lexer.state.inLink && this.rules.other.endATag.test(cap[0])) {\n        this.lexer.state.inLink = false;\n      }\n      if (!this.lexer.state.inRawBlock && this.rules.other.startPreScriptTag.test(cap[0])) {\n        this.lexer.state.inRawBlock = true;\n      } else if (this.lexer.state.inRawBlock && this.rules.other.endPreScriptTag.test(cap[0])) {\n        this.lexer.state.inRawBlock = false;\n      }\n\n      return {\n        type: 'html',\n        raw: cap[0],\n        inLink: this.lexer.state.inLink,\n        inRawBlock: this.lexer.state.inRawBlock,\n        block: false,\n        text: cap[0],\n      };\n    }\n  }\n\n  link(src: string): Tokens.Link | Tokens.Image | undefined {\n    const cap = this.rules.inline.link.exec(src);\n    if (cap) {\n      const trimmedUrl = cap[2].trim();\n      if (!this.options.pedantic && this.rules.other.startAngleBracket.test(trimmedUrl)) {\n        // commonmark requires matching angle brackets\n        if (!(this.rules.other.endAngleBracket.test(trimmedUrl))) {\n          return;\n        }\n\n        // ending angle bracket cannot be escaped\n        const rtrimSlash = rtrim(trimmedUrl.slice(0, -1), '\\\\');\n        if ((trimmedUrl.length - rtrimSlash.length) % 2 === 0) {\n          return;\n        }\n      } else {\n        // find closing parenthesis\n        const lastParenIndex = findClosingBracket(cap[2], '()');\n        if (lastParenIndex === -2) {\n          // more open parens than closed\n          return;\n        }\n\n        if (lastParenIndex > -1) {\n          const start = cap[0].indexOf('!') === 0 ? 5 : 4;\n          const linkLen = start + cap[1].length + lastParenIndex;\n          cap[2] = cap[2].substring(0, lastParenIndex);\n          cap[0] = cap[0].substring(0, linkLen).trim();\n          cap[3] = '';\n        }\n      }\n      let href = cap[2];\n      let title = '';\n      if (this.options.pedantic) {\n        // split pedantic href and title\n        const link = this.rules.other.pedanticHrefTitle.exec(href);\n\n        if (link) {\n          href = link[1];\n          title = link[3];\n        }\n      } else {\n        title = cap[3] ? cap[3].slice(1, -1) : '';\n      }\n\n      href = href.trim();\n      if (this.rules.other.startAngleBracket.test(href)) {\n        if (this.options.pedantic && !(this.rules.other.endAngleBracket.test(trimmedUrl))) {\n          // pedantic allows starting angle bracket without ending angle bracket\n          href = href.slice(1);\n        } else {\n          href = href.slice(1, -1);\n        }\n      }\n      return outputLink(cap, {\n        href: href ? href.replace(this.rules.inline.anyPunctuation, '$1') : href,\n        title: title ? title.replace(this.rules.inline.anyPunctuation, '$1') : title,\n      }, cap[0], this.lexer, this.rules);\n    }\n  }\n\n  reflink(src: string, links: Links): Tokens.Link | Tokens.Image | Tokens.Text | undefined {\n    let cap;\n    if ((cap = this.rules.inline.reflink.exec(src))\n      || (cap = this.rules.inline.nolink.exec(src))) {\n      const linkString = (cap[2] || cap[1]).replace(this.rules.other.multipleSpaceGlobal, ' ');\n      const link = links[linkString.toLowerCase()];\n      if (!link) {\n        const text = cap[0].charAt(0);\n        return {\n          type: 'text',\n          raw: text,\n          text,\n        };\n      }\n      return outputLink(cap, link, cap[0], this.lexer, this.rules);\n    }\n  }\n\n  emStrong(src: string, maskedSrc: string, prevChar = ''): Tokens.Em | Tokens.Strong | undefined {\n    let match = this.rules.inline.emStrongLDelim.exec(src);\n    if (!match) return;\n\n    // _ can't be between two alphanumerics. \\p{L}\\p{N} includes non-english alphabet/numbers as well\n    if (match[3] && prevChar.match(this.rules.other.unicodeAlphaNumeric)) return;\n\n    const nextChar = match[1] || match[2] || '';\n\n    if (!nextChar || !prevChar || this.rules.inline.punctuation.exec(prevChar)) {\n      // unicode Regex counts emoji as 1 char; spread into array for proper count (used multiple times below)\n      const lLength = [...match[0]].length - 1;\n      let rDelim, rLength, delimTotal = lLength, midDelimTotal = 0;\n\n      const endReg = match[0][0] === '*' ? this.rules.inline.emStrongRDelimAst : this.rules.inline.emStrongRDelimUnd;\n      endReg.lastIndex = 0;\n\n      // Clip maskedSrc to same section of string as src (move to lexer?)\n      maskedSrc = maskedSrc.slice(-1 * src.length + lLength);\n\n      while ((match = endReg.exec(maskedSrc)) != null) {\n        rDelim = match[1] || match[2] || match[3] || match[4] || match[5] || match[6];\n\n        if (!rDelim) continue; // skip single * in __abc*abc__\n\n        rLength = [...rDelim].length;\n\n        if (match[3] || match[4]) { // found another Left Delim\n          delimTotal += rLength;\n          continue;\n        } else if (match[5] || match[6]) { // either Left or Right Delim\n          if (lLength % 3 && !((lLength + rLength) % 3)) {\n            midDelimTotal += rLength;\n            continue; // CommonMark Emphasis Rules 9-10\n          }\n        }\n\n        delimTotal -= rLength;\n\n        if (delimTotal > 0) continue; // Haven't found enough closing delimiters\n\n        // Remove extra characters. *a*** -> *a*\n        rLength = Math.min(rLength, rLength + delimTotal + midDelimTotal);\n        // char length can be >1 for unicode characters;\n        const lastCharLength = [...match[0]][0].length;\n        const raw = src.slice(0, lLength + match.index + lastCharLength + rLength);\n\n        // Create `em` if smallest delimiter has odd char count. *a***\n        if (Math.min(lLength, rLength) % 2) {\n          const text = raw.slice(1, -1);\n          return {\n            type: 'em',\n            raw,\n            text,\n            tokens: this.lexer.inlineTokens(text),\n          };\n        }\n\n        // Create 'strong' if smallest delimiter has even char count. **a***\n        const text = raw.slice(2, -2);\n        return {\n          type: 'strong',\n          raw,\n          text,\n          tokens: this.lexer.inlineTokens(text),\n        };\n      }\n    }\n  }\n\n  codespan(src: string): Tokens.Codespan | undefined {\n    const cap = this.rules.inline.code.exec(src);\n    if (cap) {\n      let text = cap[2].replace(this.rules.other.newLineCharGlobal, ' ');\n      const hasNonSpaceChars = this.rules.other.nonSpaceChar.test(text);\n      const hasSpaceCharsOnBothEnds = this.rules.other.startingSpaceChar.test(text) && this.rules.other.endingSpaceChar.test(text);\n      if (hasNonSpaceChars && hasSpaceCharsOnBothEnds) {\n        text = text.substring(1, text.length - 1);\n      }\n      return {\n        type: 'codespan',\n        raw: cap[0],\n        text,\n      };\n    }\n  }\n\n  br(src: string): Tokens.Br | undefined {\n    const cap = this.rules.inline.br.exec(src);\n    if (cap) {\n      return {\n        type: 'br',\n        raw: cap[0],\n      };\n    }\n  }\n\n  del(src: string): Tokens.Del | undefined {\n    const cap = this.rules.inline.del.exec(src);\n    if (cap) {\n      return {\n        type: 'del',\n        raw: cap[0],\n        text: cap[2],\n        tokens: this.lexer.inlineTokens(cap[2]),\n      };\n    }\n  }\n\n  autolink(src: string): Tokens.Link | undefined {\n    const cap = this.rules.inline.autolink.exec(src);\n    if (cap) {\n      let text, href;\n      if (cap[2] === '@') {\n        text = cap[1];\n        href = 'mailto:' + text;\n      } else {\n        text = cap[1];\n        href = text;\n      }\n\n      return {\n        type: 'link',\n        raw: cap[0],\n        text,\n        href,\n        tokens: [\n          {\n            type: 'text',\n            raw: text,\n            text,\n          },\n        ],\n      };\n    }\n  }\n\n  url(src: string): Tokens.Link | undefined {\n    let cap;\n    if (cap = this.rules.inline.url.exec(src)) {\n      let text, href;\n      if (cap[2] === '@') {\n        text = cap[0];\n        href = 'mailto:' + text;\n      } else {\n        // do extended autolink path validation\n        let prevCapZero;\n        do {\n          prevCapZero = cap[0];\n          cap[0] = this.rules.inline._backpedal.exec(cap[0])?.[0] ?? '';\n        } while (prevCapZero !== cap[0]);\n        text = cap[0];\n        if (cap[1] === 'www.') {\n          href = 'http://' + cap[0];\n        } else {\n          href = cap[0];\n        }\n      }\n      return {\n        type: 'link',\n        raw: cap[0],\n        text,\n        href,\n        tokens: [\n          {\n            type: 'text',\n            raw: text,\n            text,\n          },\n        ],\n      };\n    }\n  }\n\n  inlineText(src: string): Tokens.Text | undefined {\n    const cap = this.rules.inline.text.exec(src);\n    if (cap) {\n      const escaped = this.lexer.state.inRawBlock;\n      return {\n        type: 'text',\n        raw: cap[0],\n        text: cap[0],\n        escaped,\n      };\n    }\n  }\n}\n", "import { _Tokenizer } from './Tokenizer.ts';\nimport { _defaults } from './defaults.ts';\nimport { other, block, inline } from './rules.ts';\nimport type { Token, TokensList, Tokens } from './Tokens.ts';\nimport type { MarkedOptions } from './MarkedOptions.ts';\n\n/**\n * Block Lexer\n */\nexport class _Lexer {\n  tokens: TokensList;\n  options: MarkedOptions;\n  state: {\n    inLink: boolean;\n    inRawBlock: boolean;\n    top: boolean;\n  };\n\n  private tokenizer: _Tokenizer;\n  private inlineQueue: { src: string, tokens: Token[] }[];\n\n  constructor(options?: MarkedOptions) {\n    // TokenList cannot be created in one go\n    this.tokens = [] as unknown as TokensList;\n    this.tokens.links = Object.create(null);\n    this.options = options || _defaults;\n    this.options.tokenizer = this.options.tokenizer || new _Tokenizer();\n    this.tokenizer = this.options.tokenizer;\n    this.tokenizer.options = this.options;\n    this.tokenizer.lexer = this;\n    this.inlineQueue = [];\n    this.state = {\n      inLink: false,\n      inRawBlock: false,\n      top: true,\n    };\n\n    const rules = {\n      other,\n      block: block.normal,\n      inline: inline.normal,\n    };\n\n    if (this.options.pedantic) {\n      rules.block = block.pedantic;\n      rules.inline = inline.pedantic;\n    } else if (this.options.gfm) {\n      rules.block = block.gfm;\n      if (this.options.breaks) {\n        rules.inline = inline.breaks;\n      } else {\n        rules.inline = inline.gfm;\n      }\n    }\n    this.tokenizer.rules = rules;\n  }\n\n  /**\n   * Expose Rules\n   */\n  static get rules() {\n    return {\n      block,\n      inline,\n    };\n  }\n\n  /**\n   * Static Lex Method\n   */\n  static lex(src: string, options?: MarkedOptions) {\n    const lexer = new _Lexer(options);\n    return lexer.lex(src);\n  }\n\n  /**\n   * Static Lex Inline Method\n   */\n  static lexInline(src: string, options?: MarkedOptions) {\n    const lexer = new _Lexer(options);\n    return lexer.inlineTokens(src);\n  }\n\n  /**\n   * Preprocessing\n   */\n  lex(src: string) {\n    src = src.replace(other.carriageReturn, '\\n');\n\n    this.blockTokens(src, this.tokens);\n\n    for (let i = 0; i < this.inlineQueue.length; i++) {\n      const next = this.inlineQueue[i];\n      this.inlineTokens(next.src, next.tokens);\n    }\n    this.inlineQueue = [];\n\n    return this.tokens;\n  }\n\n  /**\n   * Lexing\n   */\n  blockTokens(src: string, tokens?: Token[], lastParagraphClipped?: boolean): Token[];\n  blockTokens(src: string, tokens?: TokensList, lastParagraphClipped?: boolean): TokensList;\n  blockTokens(src: string, tokens: Token[] = [], lastParagraphClipped = false) {\n    if (this.options.pedantic) {\n      src = src.replace(other.tabCharGlobal, '    ').replace(other.spaceLine, '');\n    }\n\n    while (src) {\n      let token: Tokens.Generic | undefined;\n\n      if (this.options.extensions?.block?.some((extTokenizer) => {\n        if (token = extTokenizer.call({ lexer: this }, src, tokens)) {\n          src = src.substring(token.raw.length);\n          tokens.push(token);\n          return true;\n        }\n        return false;\n      })) {\n        continue;\n      }\n\n      // newline\n      if (token = this.tokenizer.space(src)) {\n        src = src.substring(token.raw.length);\n        const lastToken = tokens.at(-1);\n        if (token.raw.length === 1 && lastToken !== undefined) {\n          // if there's a single \\n as a spacer, it's terminating the last line,\n          // so move it there so that we don't get unnecessary paragraph tags\n          lastToken.raw += '\\n';\n        } else {\n          tokens.push(token);\n        }\n        continue;\n      }\n\n      // code\n      if (token = this.tokenizer.code(src)) {\n        src = src.substring(token.raw.length);\n        const lastToken = tokens.at(-1);\n        // An indented code block cannot interrupt a paragraph.\n        if (lastToken?.type === 'paragraph' || lastToken?.type === 'text') {\n          lastToken.raw += '\\n' + token.raw;\n          lastToken.text += '\\n' + token.text;\n          this.inlineQueue.at(-1)!.src = lastToken.text;\n        } else {\n          tokens.push(token);\n        }\n        continue;\n      }\n\n      // fences\n      if (token = this.tokenizer.fences(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // heading\n      if (token = this.tokenizer.heading(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // hr\n      if (token = this.tokenizer.hr(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // blockquote\n      if (token = this.tokenizer.blockquote(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // list\n      if (token = this.tokenizer.list(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // html\n      if (token = this.tokenizer.html(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // def\n      if (token = this.tokenizer.def(src)) {\n        src = src.substring(token.raw.length);\n        const lastToken = tokens.at(-1);\n        if (lastToken?.type === 'paragraph' || lastToken?.type === 'text') {\n          lastToken.raw += '\\n' + token.raw;\n          lastToken.text += '\\n' + token.raw;\n          this.inlineQueue.at(-1)!.src = lastToken.text;\n        } else if (!this.tokens.links[token.tag]) {\n          this.tokens.links[token.tag] = {\n            href: token.href,\n            title: token.title,\n          };\n        }\n        continue;\n      }\n\n      // table (gfm)\n      if (token = this.tokenizer.table(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // lheading\n      if (token = this.tokenizer.lheading(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // top-level paragraph\n      // prevent paragraph consuming extensions by clipping 'src' to extension start\n      let cutSrc = src;\n      if (this.options.extensions?.startBlock) {\n        let startIndex = Infinity;\n        const tempSrc = src.slice(1);\n        let tempStart;\n        this.options.extensions.startBlock.forEach((getStartIndex) => {\n          tempStart = getStartIndex.call({ lexer: this }, tempSrc);\n          if (typeof tempStart === 'number' && tempStart >= 0) {\n            startIndex = Math.min(startIndex, tempStart);\n          }\n        });\n        if (startIndex < Infinity && startIndex >= 0) {\n          cutSrc = src.substring(0, startIndex + 1);\n        }\n      }\n      if (this.state.top && (token = this.tokenizer.paragraph(cutSrc))) {\n        const lastToken = tokens.at(-1);\n        if (lastParagraphClipped && lastToken?.type === 'paragraph') {\n          lastToken.raw += '\\n' + token.raw;\n          lastToken.text += '\\n' + token.text;\n          this.inlineQueue.pop();\n          this.inlineQueue.at(-1)!.src = lastToken.text;\n        } else {\n          tokens.push(token);\n        }\n        lastParagraphClipped = cutSrc.length !== src.length;\n        src = src.substring(token.raw.length);\n        continue;\n      }\n\n      // text\n      if (token = this.tokenizer.text(src)) {\n        src = src.substring(token.raw.length);\n        const lastToken = tokens.at(-1);\n        if (lastToken?.type === 'text') {\n          lastToken.raw += '\\n' + token.raw;\n          lastToken.text += '\\n' + token.text;\n          this.inlineQueue.pop();\n          this.inlineQueue.at(-1)!.src = lastToken.text;\n        } else {\n          tokens.push(token);\n        }\n        continue;\n      }\n\n      if (src) {\n        const errMsg = 'Infinite loop on byte: ' + src.charCodeAt(0);\n        if (this.options.silent) {\n          console.error(errMsg);\n          break;\n        } else {\n          throw new Error(errMsg);\n        }\n      }\n    }\n\n    this.state.top = true;\n    return tokens;\n  }\n\n  inline(src: string, tokens: Token[] = []) {\n    this.inlineQueue.push({ src, tokens });\n    return tokens;\n  }\n\n  /**\n   * Lexing/Compiling\n   */\n  inlineTokens(src: string, tokens: Token[] = []): Token[] {\n    // String with links masked to avoid interference with em and strong\n    let maskedSrc = src;\n    let match: RegExpExecArray | null = null;\n\n    // Mask out reflinks\n    if (this.tokens.links) {\n      const links = Object.keys(this.tokens.links);\n      if (links.length > 0) {\n        while ((match = this.tokenizer.rules.inline.reflinkSearch.exec(maskedSrc)) != null) {\n          if (links.includes(match[0].slice(match[0].lastIndexOf('[') + 1, -1))) {\n            maskedSrc = maskedSrc.slice(0, match.index)\n              + '[' + 'a'.repeat(match[0].length - 2) + ']'\n              + maskedSrc.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex);\n          }\n        }\n      }\n    }\n\n    // Mask out escaped characters\n    while ((match = this.tokenizer.rules.inline.anyPunctuation.exec(maskedSrc)) != null) {\n      maskedSrc = maskedSrc.slice(0, match.index) + '++' + maskedSrc.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);\n    }\n\n    // Mask out other blocks\n    while ((match = this.tokenizer.rules.inline.blockSkip.exec(maskedSrc)) != null) {\n      maskedSrc = maskedSrc.slice(0, match.index) + '[' + 'a'.repeat(match[0].length - 2) + ']' + maskedSrc.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);\n    }\n\n    let keepPrevChar = false;\n    let prevChar = '';\n    while (src) {\n      if (!keepPrevChar) {\n        prevChar = '';\n      }\n      keepPrevChar = false;\n\n      let token: Tokens.Generic | undefined;\n\n      // extensions\n      if (this.options.extensions?.inline?.some((extTokenizer) => {\n        if (token = extTokenizer.call({ lexer: this }, src, tokens)) {\n          src = src.substring(token.raw.length);\n          tokens.push(token);\n          return true;\n        }\n        return false;\n      })) {\n        continue;\n      }\n\n      // escape\n      if (token = this.tokenizer.escape(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // tag\n      if (token = this.tokenizer.tag(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // link\n      if (token = this.tokenizer.link(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // reflink, nolink\n      if (token = this.tokenizer.reflink(src, this.tokens.links)) {\n        src = src.substring(token.raw.length);\n        const lastToken = tokens.at(-1);\n        if (token.type === 'text' && lastToken?.type === 'text') {\n          lastToken.raw += token.raw;\n          lastToken.text += token.text;\n        } else {\n          tokens.push(token);\n        }\n        continue;\n      }\n\n      // em & strong\n      if (token = this.tokenizer.emStrong(src, maskedSrc, prevChar)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // code\n      if (token = this.tokenizer.codespan(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // br\n      if (token = this.tokenizer.br(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // del (gfm)\n      if (token = this.tokenizer.del(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // autolink\n      if (token = this.tokenizer.autolink(src)) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // url (gfm)\n      if (!this.state.inLink && (token = this.tokenizer.url(src))) {\n        src = src.substring(token.raw.length);\n        tokens.push(token);\n        continue;\n      }\n\n      // text\n      // prevent inlineText consuming extensions by clipping 'src' to extension start\n      let cutSrc = src;\n      if (this.options.extensions?.startInline) {\n        let startIndex = Infinity;\n        const tempSrc = src.slice(1);\n        let tempStart;\n        this.options.extensions.startInline.forEach((getStartIndex) => {\n          tempStart = getStartIndex.call({ lexer: this }, tempSrc);\n          if (typeof tempStart === 'number' && tempStart >= 0) {\n            startIndex = Math.min(startIndex, tempStart);\n          }\n        });\n        if (startIndex < Infinity && startIndex >= 0) {\n          cutSrc = src.substring(0, startIndex + 1);\n        }\n      }\n      if (token = this.tokenizer.inlineText(cutSrc)) {\n        src = src.substring(token.raw.length);\n        if (token.raw.slice(-1) !== '_') { // Track prevChar before string of ____ started\n          prevChar = token.raw.slice(-1);\n        }\n        keepPrevChar = true;\n        const lastToken = tokens.at(-1);\n        if (lastToken?.type === 'text') {\n          lastToken.raw += token.raw;\n          lastToken.text += token.text;\n        } else {\n          tokens.push(token);\n        }\n        continue;\n      }\n\n      if (src) {\n        const errMsg = 'Infinite loop on byte: ' + src.charCodeAt(0);\n        if (this.options.silent) {\n          console.error(errMsg);\n          break;\n        } else {\n          throw new Error(errMsg);\n        }\n      }\n    }\n\n    return tokens;\n  }\n}\n", "import { _defaults } from './defaults.ts';\nimport {\n  cleanUrl,\n  escape,\n} from './helpers.ts';\nimport { other } from './rules.ts';\nimport type { MarkedOptions } from './MarkedOptions.ts';\nimport type { Tokens } from './Tokens.ts';\nimport type { _Parser } from './Parser.ts';\n\n/**\n * Renderer\n */\nexport class _Renderer {\n  options: MarkedOptions;\n  parser!: _Parser; // set by the parser\n  constructor(options?: MarkedOptions) {\n    this.options = options || _defaults;\n  }\n\n  space(token: Tokens.Space): string {\n    return '';\n  }\n\n  code({ text, lang, escaped }: Tokens.Code): string {\n    const langString = (lang || '').match(other.notSpaceStart)?.[0];\n\n    const code = text.replace(other.endingNewline, '') + '\\n';\n\n    if (!langString) {\n      return '<pre><code>'\n        + (escaped ? code : escape(code, true))\n        + '</code></pre>\\n';\n    }\n\n    return '<pre><code class=\"language-'\n      + escape(langString)\n      + '\">'\n      + (escaped ? code : escape(code, true))\n      + '</code></pre>\\n';\n  }\n\n  blockquote({ tokens }: Tokens.Blockquote): string {\n    const body = this.parser.parse(tokens);\n    return `<blockquote>\\n${body}</blockquote>\\n`;\n  }\n\n  html({ text }: Tokens.HTML | Tokens.Tag) : string {\n    return text;\n  }\n\n  heading({ tokens, depth }: Tokens.Heading): string {\n    return `<h${depth}>${this.parser.parseInline(tokens)}</h${depth}>\\n`;\n  }\n\n  hr(token: Tokens.Hr): string {\n    return '<hr>\\n';\n  }\n\n  list(token: Tokens.List): string {\n    const ordered = token.ordered;\n    const start = token.start;\n\n    let body = '';\n    for (let j = 0; j < token.items.length; j++) {\n      const item = token.items[j];\n      body += this.listitem(item);\n    }\n\n    const type = ordered ? 'ol' : 'ul';\n    const startAttr = (ordered && start !== 1) ? (' start=\"' + start + '\"') : '';\n    return '<' + type + startAttr + '>\\n' + body + '</' + type + '>\\n';\n  }\n\n  listitem(item: Tokens.ListItem): string {\n    let itemBody = '';\n    if (item.task) {\n      const checkbox = this.checkbox({ checked: !!item.checked });\n      if (item.loose) {\n        if (item.tokens[0]?.type === 'paragraph') {\n          item.tokens[0].text = checkbox + ' ' + item.tokens[0].text;\n          if (item.tokens[0].tokens && item.tokens[0].tokens.length > 0 && item.tokens[0].tokens[0].type === 'text') {\n            item.tokens[0].tokens[0].text = checkbox + ' ' + escape(item.tokens[0].tokens[0].text);\n            item.tokens[0].tokens[0].escaped = true;\n          }\n        } else {\n          item.tokens.unshift({\n            type: 'text',\n            raw: checkbox + ' ',\n            text: checkbox + ' ',\n            escaped: true,\n          });\n        }\n      } else {\n        itemBody += checkbox + ' ';\n      }\n    }\n\n    itemBody += this.parser.parse(item.tokens, !!item.loose);\n\n    return `<li>${itemBody}</li>\\n`;\n  }\n\n  checkbox({ checked }: Tokens.Checkbox): string {\n    return '<input '\n      + (checked ? 'checked=\"\" ' : '')\n      + 'disabled=\"\" type=\"checkbox\">';\n  }\n\n  paragraph({ tokens }: Tokens.Paragraph): string {\n    return `<p>${this.parser.parseInline(tokens)}</p>\\n`;\n  }\n\n  table(token: Tokens.Table): string {\n    let header = '';\n\n    // header\n    let cell = '';\n    for (let j = 0; j < token.header.length; j++) {\n      cell += this.tablecell(token.header[j]);\n    }\n    header += this.tablerow({ text: cell });\n\n    let body = '';\n    for (let j = 0; j < token.rows.length; j++) {\n      const row = token.rows[j];\n\n      cell = '';\n      for (let k = 0; k < row.length; k++) {\n        cell += this.tablecell(row[k]);\n      }\n\n      body += this.tablerow({ text: cell });\n    }\n    if (body) body = `<tbody>${body}</tbody>`;\n\n    return '<table>\\n'\n      + '<thead>\\n'\n      + header\n      + '</thead>\\n'\n      + body\n      + '</table>\\n';\n  }\n\n  tablerow({ text }: Tokens.TableRow): string {\n    return `<tr>\\n${text}</tr>\\n`;\n  }\n\n  tablecell(token: Tokens.TableCell): string {\n    const content = this.parser.parseInline(token.tokens);\n    const type = token.header ? 'th' : 'td';\n    const tag = token.align\n      ? `<${type} align=\"${token.align}\">`\n      : `<${type}>`;\n    return tag + content + `</${type}>\\n`;\n  }\n\n  /**\n   * span level renderer\n   */\n  strong({ tokens }: Tokens.Strong): string {\n    return `<strong>${this.parser.parseInline(tokens)}</strong>`;\n  }\n\n  em({ tokens }: Tokens.Em): string {\n    return `<em>${this.parser.parseInline(tokens)}</em>`;\n  }\n\n  codespan({ text }: Tokens.Codespan): string {\n    return `<code>${escape(text, true)}</code>`;\n  }\n\n  br(token: Tokens.Br): string {\n    return '<br>';\n  }\n\n  del({ tokens }: Tokens.Del): string {\n    return `<del>${this.parser.parseInline(tokens)}</del>`;\n  }\n\n  link({ href, title, tokens }: Tokens.Link): string {\n    const text = this.parser.parseInline(tokens);\n    const cleanHref = cleanUrl(href);\n    if (cleanHref === null) {\n      return text;\n    }\n    href = cleanHref;\n    let out = '<a href=\"' + href + '\"';\n    if (title) {\n      out += ' title=\"' + (escape(title)) + '\"';\n    }\n    out += '>' + text + '</a>';\n    return out;\n  }\n\n  image({ href, title, text, tokens }: Tokens.Image): string {\n    if (tokens) {\n      text = this.parser.parseInline(tokens, this.parser.textRenderer);\n    }\n    const cleanHref = cleanUrl(href);\n    if (cleanHref === null) {\n      return escape(text);\n    }\n    href = cleanHref;\n\n    let out = `<img src=\"${href}\" alt=\"${text}\"`;\n    if (title) {\n      out += ` title=\"${escape(title)}\"`;\n    }\n    out += '>';\n    return out;\n  }\n\n  text(token: Tokens.Text | Tokens.Escape) : string {\n    return 'tokens' in token && token.tokens\n      ? this.parser.parseInline(token.tokens)\n      : ('escaped' in token && token.escaped ? token.text : escape(token.text));\n  }\n}\n", "import type { Tokens } from './Tokens.ts';\n\n/**\n * TextRenderer\n * returns only the textual part of the token\n */\nexport class _TextRenderer {\n  // no need for block level renderers\n  strong({ text }: Tokens.Strong) {\n    return text;\n  }\n\n  em({ text }: Tokens.Em) {\n    return text;\n  }\n\n  codespan({ text }: Tokens.Codespan) {\n    return text;\n  }\n\n  del({ text }: Tokens.Del) {\n    return text;\n  }\n\n  html({ text }: Tokens.HTML | Tokens.Tag) {\n    return text;\n  }\n\n  text({ text }: Tokens.Text | Tokens.Escape | Tokens.Tag) {\n    return text;\n  }\n\n  link({ text }: Tokens.Link) {\n    return '' + text;\n  }\n\n  image({ text }: Tokens.Image) {\n    return '' + text;\n  }\n\n  br() {\n    return '';\n  }\n}\n", "import { _Renderer } from './Renderer.ts';\nimport { _TextRenderer } from './TextRenderer.ts';\nimport { _defaults } from './defaults.ts';\nimport type { MarkedToken, Token, Tokens } from './Tokens.ts';\nimport type { MarkedOptions } from './MarkedOptions.ts';\n\n/**\n * Parsing & Compiling\n */\nexport class _Parser {\n  options: MarkedOptions;\n  renderer: _Renderer;\n  textRenderer: _TextRenderer;\n  constructor(options?: MarkedOptions) {\n    this.options = options || _defaults;\n    this.options.renderer = this.options.renderer || new _Renderer();\n    this.renderer = this.options.renderer;\n    this.renderer.options = this.options;\n    this.renderer.parser = this;\n    this.textRenderer = new _TextRenderer();\n  }\n\n  /**\n   * Static Parse Method\n   */\n  static parse(tokens: Token[], options?: MarkedOptions) {\n    const parser = new _Parser(options);\n    return parser.parse(tokens);\n  }\n\n  /**\n   * Static Parse Inline Method\n   */\n  static parseInline(tokens: Token[], options?: MarkedOptions) {\n    const parser = new _Parser(options);\n    return parser.parseInline(tokens);\n  }\n\n  /**\n   * Parse Loop\n   */\n  parse(tokens: Token[], top = true): string {\n    let out = '';\n\n    for (let i = 0; i < tokens.length; i++) {\n      const anyToken = tokens[i];\n\n      // Run any renderer extensions\n      if (this.options.extensions?.renderers?.[anyToken.type]) {\n        const genericToken = anyToken as Tokens.Generic;\n        const ret = this.options.extensions.renderers[genericToken.type].call({ parser: this }, genericToken);\n        if (ret !== false || !['space', 'hr', 'heading', 'code', 'table', 'blockquote', 'list', 'html', 'paragraph', 'text'].includes(genericToken.type)) {\n          out += ret || '';\n          continue;\n        }\n      }\n\n      const token = anyToken as MarkedToken;\n\n      switch (token.type) {\n        case 'space': {\n          out += this.renderer.space(token);\n          continue;\n        }\n        case 'hr': {\n          out += this.renderer.hr(token);\n          continue;\n        }\n        case 'heading': {\n          out += this.renderer.heading(token);\n          continue;\n        }\n        case 'code': {\n          out += this.renderer.code(token);\n          continue;\n        }\n        case 'table': {\n          out += this.renderer.table(token);\n          continue;\n        }\n        case 'blockquote': {\n          out += this.renderer.blockquote(token);\n          continue;\n        }\n        case 'list': {\n          out += this.renderer.list(token);\n          continue;\n        }\n        case 'html': {\n          out += this.renderer.html(token);\n          continue;\n        }\n        case 'paragraph': {\n          out += this.renderer.paragraph(token);\n          continue;\n        }\n        case 'text': {\n          let textToken = token;\n          let body = this.renderer.text(textToken);\n          while (i + 1 < tokens.length && tokens[i + 1].type === 'text') {\n            textToken = tokens[++i] as Tokens.Text;\n            body += '\\n' + this.renderer.text(textToken);\n          }\n          if (top) {\n            out += this.renderer.paragraph({\n              type: 'paragraph',\n              raw: body,\n              text: body,\n              tokens: [{ type: 'text', raw: body, text: body, escaped: true }],\n            });\n          } else {\n            out += body;\n          }\n          continue;\n        }\n\n        default: {\n          const errMsg = 'Token with \"' + token.type + '\" type was not found.';\n          if (this.options.silent) {\n            console.error(errMsg);\n            return '';\n          } else {\n            throw new Error(errMsg);\n          }\n        }\n      }\n    }\n\n    return out;\n  }\n\n  /**\n   * Parse Inline Tokens\n   */\n  parseInline(tokens: Token[], renderer: _Renderer | _TextRenderer = this.renderer): string {\n    let out = '';\n\n    for (let i = 0; i < tokens.length; i++) {\n      const anyToken = tokens[i];\n\n      // Run any renderer extensions\n      if (this.options.extensions?.renderers?.[anyToken.type]) {\n        const ret = this.options.extensions.renderers[anyToken.type].call({ parser: this }, anyToken);\n        if (ret !== false || !['escape', 'html', 'link', 'image', 'strong', 'em', 'codespan', 'br', 'del', 'text'].includes(anyToken.type)) {\n          out += ret || '';\n          continue;\n        }\n      }\n\n      const token = anyToken as MarkedToken;\n\n      switch (token.type) {\n        case 'escape': {\n          out += renderer.text(token);\n          break;\n        }\n        case 'html': {\n          out += renderer.html(token);\n          break;\n        }\n        case 'link': {\n          out += renderer.link(token);\n          break;\n        }\n        case 'image': {\n          out += renderer.image(token);\n          break;\n        }\n        case 'strong': {\n          out += renderer.strong(token);\n          break;\n        }\n        case 'em': {\n          out += renderer.em(token);\n          break;\n        }\n        case 'codespan': {\n          out += renderer.codespan(token);\n          break;\n        }\n        case 'br': {\n          out += renderer.br(token);\n          break;\n        }\n        case 'del': {\n          out += renderer.del(token);\n          break;\n        }\n        case 'text': {\n          out += renderer.text(token);\n          break;\n        }\n        default: {\n          const errMsg = 'Token with \"' + token.type + '\" type was not found.';\n          if (this.options.silent) {\n            console.error(errMsg);\n            return '';\n          } else {\n            throw new Error(errMsg);\n          }\n        }\n      }\n    }\n    return out;\n  }\n}\n", "import { _defaults } from './defaults.ts';\nimport { _Lexer } from './Lexer.ts';\nimport { _Parser } from './Parser.ts';\nimport type { MarkedOptions } from './MarkedOptions.ts';\nimport type { Token, TokensList } from './Tokens.ts';\n\nexport class _Hooks {\n  options: MarkedOptions;\n  block?: boolean;\n\n  constructor(options?: MarkedOptions) {\n    this.options = options || _defaults;\n  }\n\n  static passThroughHooks = new Set([\n    'preprocess',\n    'postprocess',\n    'processAllTokens',\n  ]);\n\n  /**\n   * Process markdown before marked\n   */\n  preprocess(markdown: string) {\n    return markdown;\n  }\n\n  /**\n   * Process HTML after marked is finished\n   */\n  postprocess(html: string) {\n    return html;\n  }\n\n  /**\n   * Process all tokens before walk tokens\n   */\n  processAllTokens(tokens: Token[] | TokensList) {\n    return tokens;\n  }\n\n  /**\n   * Provide function to tokenize markdown\n   */\n  provideLexer() {\n    return this.block ? _Lexer.lex : _Lexer.lexInline;\n  }\n\n  /**\n   * Provide function to parse tokens\n   */\n  provideParser() {\n    return this.block ? _Parser.parse : _Parser.parseInline;\n  }\n}\n", "import { _getDefaults } from './defaults.ts';\nimport { _Lexer } from './Lexer.ts';\nimport { _Parser } from './Parser.ts';\nimport { _Hooks } from './Hooks.ts';\nimport { _Renderer } from './Renderer.ts';\nimport { _Tokenizer } from './Tokenizer.ts';\nimport { _TextRenderer } from './TextRenderer.ts';\nimport { escape } from './helpers.ts';\nimport type { MarkedExtension, MarkedOptions } from './MarkedOptions.ts';\nimport type { Token, Tokens, TokensList } from './Tokens.ts';\n\nexport type MaybePromise = void | Promise<void>;\n\ntype UnknownFunction = (...args: unknown[]) => unknown;\ntype GenericRendererFunction = (...args: unknown[]) => string | false;\n\nexport class Marked {\n  defaults = _getDefaults();\n  options = this.setOptions;\n\n  parse = this.parseMarkdown(true);\n  parseInline = this.parseMarkdown(false);\n\n  Parser = _Parser;\n  Renderer = _Renderer;\n  TextRenderer = _TextRenderer;\n  Lexer = _Lexer;\n  Tokenizer = _Tokenizer;\n  Hooks = _Hooks;\n\n  constructor(...args: MarkedExtension[]) {\n    this.use(...args);\n  }\n\n  /**\n   * Run callback for every token\n   */\n  walkTokens(tokens: Token[] | TokensList, callback: (token: Token) => MaybePromise | MaybePromise[]) {\n    let values: MaybePromise[] = [];\n    for (const token of tokens) {\n      values = values.concat(callback.call(this, token));\n      switch (token.type) {\n        case 'table': {\n          const tableToken = token as Tokens.Table;\n          for (const cell of tableToken.header) {\n            values = values.concat(this.walkTokens(cell.tokens, callback));\n          }\n          for (const row of tableToken.rows) {\n            for (const cell of row) {\n              values = values.concat(this.walkTokens(cell.tokens, callback));\n            }\n          }\n          break;\n        }\n        case 'list': {\n          const listToken = token as Tokens.List;\n          values = values.concat(this.walkTokens(listToken.items, callback));\n          break;\n        }\n        default: {\n          const genericToken = token as Tokens.Generic;\n          if (this.defaults.extensions?.childTokens?.[genericToken.type]) {\n            this.defaults.extensions.childTokens[genericToken.type].forEach((childTokens) => {\n              const tokens = genericToken[childTokens].flat(Infinity) as Token[] | TokensList;\n              values = values.concat(this.walkTokens(tokens, callback));\n            });\n          } else if (genericToken.tokens) {\n            values = values.concat(this.walkTokens(genericToken.tokens, callback));\n          }\n        }\n      }\n    }\n    return values;\n  }\n\n  use(...args: MarkedExtension[]) {\n    const extensions: MarkedOptions['extensions'] = this.defaults.extensions || { renderers: {}, childTokens: {} };\n\n    args.forEach((pack) => {\n      // copy options to new object\n      const opts = { ...pack } as MarkedOptions;\n\n      // set async to true if it was set to true before\n      opts.async = this.defaults.async || opts.async || false;\n\n      // ==-- Parse \"addon\" extensions --== //\n      if (pack.extensions) {\n        pack.extensions.forEach((ext) => {\n          if (!ext.name) {\n            throw new Error('extension name required');\n          }\n          if ('renderer' in ext) { // Renderer extensions\n            const prevRenderer = extensions.renderers[ext.name];\n            if (prevRenderer) {\n              // Replace extension with func to run new extension but fall back if false\n              extensions.renderers[ext.name] = function(...args) {\n                let ret = ext.renderer.apply(this, args);\n                if (ret === false) {\n                  ret = prevRenderer.apply(this, args);\n                }\n                return ret;\n              };\n            } else {\n              extensions.renderers[ext.name] = ext.renderer;\n            }\n          }\n          if ('tokenizer' in ext) { // Tokenizer Extensions\n            if (!ext.level || (ext.level !== 'block' && ext.level !== 'inline')) {\n              throw new Error(\"extension level must be 'block' or 'inline'\");\n            }\n            const extLevel = extensions[ext.level];\n            if (extLevel) {\n              extLevel.unshift(ext.tokenizer);\n            } else {\n              extensions[ext.level] = [ext.tokenizer];\n            }\n            if (ext.start) { // Function to check for start of token\n              if (ext.level === 'block') {\n                if (extensions.startBlock) {\n                  extensions.startBlock.push(ext.start);\n                } else {\n                  extensions.startBlock = [ext.start];\n                }\n              } else if (ext.level === 'inline') {\n                if (extensions.startInline) {\n                  extensions.startInline.push(ext.start);\n                } else {\n                  extensions.startInline = [ext.start];\n                }\n              }\n            }\n          }\n          if ('childTokens' in ext && ext.childTokens) { // Child tokens to be visited by walkTokens\n            extensions.childTokens[ext.name] = ext.childTokens;\n          }\n        });\n        opts.extensions = extensions;\n      }\n\n      // ==-- Parse \"overwrite\" extensions --== //\n      if (pack.renderer) {\n        const renderer = this.defaults.renderer || new _Renderer(this.defaults);\n        for (const prop in pack.renderer) {\n          if (!(prop in renderer)) {\n            throw new Error(`renderer '${prop}' does not exist`);\n          }\n          if (['options', 'parser'].includes(prop)) {\n            // ignore options property\n            continue;\n          }\n          const rendererProp = prop as Exclude<keyof _Renderer, 'options' | 'parser'>;\n          const rendererFunc = pack.renderer[rendererProp] as GenericRendererFunction;\n          const prevRenderer = renderer[rendererProp] as GenericRendererFunction;\n          // Replace renderer with func to run extension, but fall back if false\n          renderer[rendererProp] = (...args: unknown[]) => {\n            let ret = rendererFunc.apply(renderer, args);\n            if (ret === false) {\n              ret = prevRenderer.apply(renderer, args);\n            }\n            return ret || '';\n          };\n        }\n        opts.renderer = renderer;\n      }\n      if (pack.tokenizer) {\n        const tokenizer = this.defaults.tokenizer || new _Tokenizer(this.defaults);\n        for (const prop in pack.tokenizer) {\n          if (!(prop in tokenizer)) {\n            throw new Error(`tokenizer '${prop}' does not exist`);\n          }\n          if (['options', 'rules', 'lexer'].includes(prop)) {\n            // ignore options, rules, and lexer properties\n            continue;\n          }\n          const tokenizerProp = prop as Exclude<keyof _Tokenizer, 'options' | 'rules' | 'lexer'>;\n          const tokenizerFunc = pack.tokenizer[tokenizerProp] as UnknownFunction;\n          const prevTokenizer = tokenizer[tokenizerProp] as UnknownFunction;\n          // Replace tokenizer with func to run extension, but fall back if false\n          // @ts-expect-error cannot type tokenizer function dynamically\n          tokenizer[tokenizerProp] = (...args: unknown[]) => {\n            let ret = tokenizerFunc.apply(tokenizer, args);\n            if (ret === false) {\n              ret = prevTokenizer.apply(tokenizer, args);\n            }\n            return ret;\n          };\n        }\n        opts.tokenizer = tokenizer;\n      }\n\n      // ==-- Parse Hooks extensions --== //\n      if (pack.hooks) {\n        const hooks = this.defaults.hooks || new _Hooks();\n        for (const prop in pack.hooks) {\n          if (!(prop in hooks)) {\n            throw new Error(`hook '${prop}' does not exist`);\n          }\n          if (['options', 'block'].includes(prop)) {\n            // ignore options and block properties\n            continue;\n          }\n          const hooksProp = prop as Exclude<keyof _Hooks, 'options' | 'block'>;\n          const hooksFunc = pack.hooks[hooksProp] as UnknownFunction;\n          const prevHook = hooks[hooksProp] as UnknownFunction;\n          if (_Hooks.passThroughHooks.has(prop)) {\n            // @ts-expect-error cannot type hook function dynamically\n            hooks[hooksProp] = (arg: unknown) => {\n              if (this.defaults.async) {\n                return Promise.resolve(hooksFunc.call(hooks, arg)).then(ret => {\n                  return prevHook.call(hooks, ret);\n                });\n              }\n\n              const ret = hooksFunc.call(hooks, arg);\n              return prevHook.call(hooks, ret);\n            };\n          } else {\n            // @ts-expect-error cannot type hook function dynamically\n            hooks[hooksProp] = (...args: unknown[]) => {\n              let ret = hooksFunc.apply(hooks, args);\n              if (ret === false) {\n                ret = prevHook.apply(hooks, args);\n              }\n              return ret;\n            };\n          }\n        }\n        opts.hooks = hooks;\n      }\n\n      // ==-- Parse WalkTokens extensions --== //\n      if (pack.walkTokens) {\n        const walkTokens = this.defaults.walkTokens;\n        const packWalktokens = pack.walkTokens;\n        opts.walkTokens = function(token) {\n          let values: MaybePromise[] = [];\n          values.push(packWalktokens.call(this, token));\n          if (walkTokens) {\n            values = values.concat(walkTokens.call(this, token));\n          }\n          return values;\n        };\n      }\n\n      this.defaults = { ...this.defaults, ...opts };\n    });\n\n    return this;\n  }\n\n  setOptions(opt: MarkedOptions) {\n    this.defaults = { ...this.defaults, ...opt };\n    return this;\n  }\n\n  lexer(src: string, options?: MarkedOptions) {\n    return _Lexer.lex(src, options ?? this.defaults);\n  }\n\n  parser(tokens: Token[], options?: MarkedOptions) {\n    return _Parser.parse(tokens, options ?? this.defaults);\n  }\n\n  private parseMarkdown(blockType: boolean) {\n    type overloadedParse = {\n      (src: string, options: MarkedOptions & { async: true }): Promise<string>;\n      (src: string, options: MarkedOptions & { async: false }): string;\n      (src: string, options?: MarkedOptions | null): string | Promise<string>;\n    };\n\n    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n    const parse: overloadedParse = (src: string, options?: MarkedOptions | null): any => {\n      const origOpt = { ...options };\n      const opt = { ...this.defaults, ...origOpt };\n\n      const throwError = this.onError(!!opt.silent, !!opt.async);\n\n      // throw error if an extension set async to true but parse was called with async: false\n      if (this.defaults.async === true && origOpt.async === false) {\n        return throwError(new Error('marked(): The async option was set to true by an extension. Remove async: false from the parse options object to return a Promise.'));\n      }\n\n      // throw error in case of non string input\n      if (typeof src === 'undefined' || src === null) {\n        return throwError(new Error('marked(): input parameter is undefined or null'));\n      }\n      if (typeof src !== 'string') {\n        return throwError(new Error('marked(): input parameter is of type '\n          + Object.prototype.toString.call(src) + ', string expected'));\n      }\n\n      if (opt.hooks) {\n        opt.hooks.options = opt;\n        opt.hooks.block = blockType;\n      }\n\n      const lexer = opt.hooks ? opt.hooks.provideLexer() : (blockType ? _Lexer.lex : _Lexer.lexInline);\n      const parser = opt.hooks ? opt.hooks.provideParser() : (blockType ? _Parser.parse : _Parser.parseInline);\n\n      if (opt.async) {\n        return Promise.resolve(opt.hooks ? opt.hooks.preprocess(src) : src)\n          .then(src => lexer(src, opt))\n          .then(tokens => opt.hooks ? opt.hooks.processAllTokens(tokens) : tokens)\n          .then(tokens => opt.walkTokens ? Promise.all(this.walkTokens(tokens, opt.walkTokens)).then(() => tokens) : tokens)\n          .then(tokens => parser(tokens, opt))\n          .then(html => opt.hooks ? opt.hooks.postprocess(html) : html)\n          .catch(throwError);\n      }\n\n      try {\n        if (opt.hooks) {\n          src = opt.hooks.preprocess(src) as string;\n        }\n        let tokens = lexer(src, opt);\n        if (opt.hooks) {\n          tokens = opt.hooks.processAllTokens(tokens);\n        }\n        if (opt.walkTokens) {\n          this.walkTokens(tokens, opt.walkTokens);\n        }\n        let html = parser(tokens, opt);\n        if (opt.hooks) {\n          html = opt.hooks.postprocess(html) as string;\n        }\n        return html;\n      } catch (e) {\n        return throwError(e as Error);\n      }\n    };\n\n    return parse;\n  }\n\n  private onError(silent: boolean, async: boolean) {\n    return (e: Error): string | Promise<string> => {\n      e.message += '\\nPlease report this to https://github.com/markedjs/marked.';\n\n      if (silent) {\n        const msg = '<p>An error occurred:</p><pre>'\n          + escape(e.message + '', true)\n          + '</pre>';\n        if (async) {\n          return Promise.resolve(msg);\n        }\n        return msg;\n      }\n\n      if (async) {\n        return Promise.reject(e);\n      }\n      throw e;\n    };\n  }\n}\n", "import { _Lexer } from './Lexer.ts';\nimport { _Parser } from './Parser.ts';\nimport { _Tokenizer } from './Tokenizer.ts';\nimport { _Renderer } from './Renderer.ts';\nimport { _TextRenderer } from './TextRenderer.ts';\nimport { _Hooks } from './Hooks.ts';\nimport { Marked } from './Instance.ts';\nimport {\n  _getDefaults,\n  changeDefaults,\n  _defaults,\n} from './defaults.ts';\nimport type { MarkedExtension, MarkedOptions } from './MarkedOptions.ts';\nimport type { Token, TokensList } from './Tokens.ts';\nimport type { MaybePromise } from './Instance.ts';\n\nconst markedInstance = new Marked();\n\n/**\n * Compiles markdown to HTML asynchronously.\n *\n * @param src String of markdown source to be compiled\n * @param options Hash of options, having async: true\n * @return Promise of string of compiled HTML\n */\nexport function marked(src: string, options: MarkedOptions & { async: true }): Promise<string>;\n\n/**\n * Compiles markdown to HTML.\n *\n * @param src String of markdown source to be compiled\n * @param options Optional hash of options\n * @return String of compiled HTML. Will be a Promise of string if async is set to true by any extensions.\n */\nexport function marked(src: string, options: MarkedOptions & { async: false }): string;\nexport function marked(src: string, options: MarkedOptions & { async: true }): Promise<string>;\nexport function marked(src: string, options?: MarkedOptions | null): string | Promise<string>;\nexport function marked(src: string, opt?: MarkedOptions | null): string | Promise<string> {\n  return markedInstance.parse(src, opt);\n}\n\n/**\n * Sets the default options.\n *\n * @param options Hash of options\n */\nmarked.options =\nmarked.setOptions = function(options: MarkedOptions) {\n  markedInstance.setOptions(options);\n  marked.defaults = markedInstance.defaults;\n  changeDefaults(marked.defaults);\n  return marked;\n};\n\n/**\n * Gets the original marked default options.\n */\nmarked.getDefaults = _getDefaults;\n\nmarked.defaults = _defaults;\n\n/**\n * Use Extension\n */\n\nmarked.use = function(...args: MarkedExtension[]) {\n  markedInstance.use(...args);\n  marked.defaults = markedInstance.defaults;\n  changeDefaults(marked.defaults);\n  return marked;\n};\n\n/**\n * Run callback for every token\n */\n\nmarked.walkTokens = function(tokens: Token[] | TokensList, callback: (token: Token) => MaybePromise | MaybePromise[]) {\n  return markedInstance.walkTokens(tokens, callback);\n};\n\n/**\n * Compiles markdown to HTML without enclosing `p` tag.\n *\n * @param src String of markdown source to be compiled\n * @param options Hash of options\n * @return String of compiled HTML\n */\nmarked.parseInline = markedInstance.parseInline;\n\n/**\n * Expose\n */\nmarked.Parser = _Parser;\nmarked.parser = _Parser.parse;\nmarked.Renderer = _Renderer;\nmarked.TextRenderer = _TextRenderer;\nmarked.Lexer = _Lexer;\nmarked.lexer = _Lexer.lex;\nmarked.Tokenizer = _Tokenizer;\nmarked.Hooks = _Hooks;\nmarked.parse = marked;\n\nexport const options = marked.options;\nexport const setOptions = marked.setOptions;\nexport const use = marked.use;\nexport const walkTokens = marked.walkTokens;\nexport const parseInline = marked.parseInline;\nexport const parse = marked;\nexport const parser = _Parser.parse;\nexport const lexer = _Lexer.lex;\nexport { _defaults as defaults, _getDefaults as getDefaults } from './defaults.ts';\nexport { _Lexer as Lexer } from './Lexer.ts';\nexport { _Parser as Parser } from './Parser.ts';\nexport { _Tokenizer as Tokenizer } from './Tokenizer.ts';\nexport { _Renderer as Renderer } from './Renderer.ts';\nexport { _TextRenderer as TextRenderer } from './TextRenderer.ts';\nexport { _Hooks as Hooks } from './Hooks.ts';\nexport { Marked } from './Instance.ts';\nexport type * from './MarkedOptions.ts';\nexport type * from './Tokens.ts';\n", "import React from 'react';\nimport { useRenderer, useKeyboard, useTerminalDimensions, createRoot } from '@opentui/react';\nimport type { InputRenderable } from '@opentui/core';\nimport { useTheme } from './theme';\nimport {\n  useSession,\n  useAgent,\n  useDialog,\n  useToast,\n  useTodos,\n} from './context/providers';\nimport type { Message } from './context/providers';\nimport { useAgentRunner } from './hooks/use-agent-runner';\nimport { APP_NAME, APP_VERSION } from '../../version';\nimport { AutoModelSelector } from '../../autoModel';\nimport { marked, Renderer } from 'marked';\n\nconst SIDEBAR_BREAKPOINT = 90;\n\nfunction s(v: unknown): string {\n  if (v === null || v === undefined) return '';\n  if (typeof v === 'string') return v;\n  if (typeof v === 'number' || typeof v === 'bigint' || typeof v === 'boolean') return String(v);\n  try {\n    return String(v);\n  } catch {\n    return '';\n  }\n}\n\n// Custom marked renderer that produces clean terminal-friendly text.\n// marked-terminal's renderer leaks literal `**` markers in ordered list items\n// and emits ANSI codes that OpenTUI <text> can't parse, so we render inline\n// emphasis as plain text and keep only structure (headings, lists, code blocks,\n// blockquotes, tables).\nclass TerminalRenderer extends Renderer {\n  private get p(): any { return (this as any).parser; }\n  private parseInline(tokens: any[] | undefined): string {\n    if (!tokens || tokens.length === 0) return '';\n    try { return this.p.parseInline(tokens); } catch { return ''; }\n  }\n  strong(t: any): string { return this.parseInline(t.tokens); }\n  em(t: any): string { return this.parseInline(t.tokens); }\n  del(t: any): string { return this.parseInline(t.tokens); }\n  codespan(t: any): string { return '`' + t.text + '`'; }\n  link(t: any): string {\n    const label = this.parseInline(t.tokens).trim();\n    return t.href && t.href !== label ? `${label} (${t.href})` : label;\n  }\n  image(t: any): string { return t.text ? `${t.text} (${t.href})` : (t.href || ''); }\n  html(t: any): string { return t.text || ''; }\n  br(): string { return '\\n'; }\n  space(): string { return '\\n'; }\n  heading(t: any): string {\n    const text = this.parseInline(t.tokens).trim();\n    const bar = t.depth === 1 ? '=' : '-';\n    return `\\n${text}\\n${bar.repeat(Math.max(3, Math.min(text.length, 60)))}\\n\\n`;\n  }\n  hr(): string { return `\\n${'-'.repeat(60)}\\n\\n`; }\n  blockquote(t: any): string {\n    const body = this.p.parse(t.tokens).trimEnd();\n    const lines = body.split('\\n').map(l => `  > ${l}`.trimEnd()).join('\\n');\n    return `\\n${lines}\\n\\n`;\n  }\n  list(t: any): string {\n    const out: string[] = [];\n    let i = 0;\n    for (const item of t.items) {\n      let prefix: string;\n      if (item.task) {\n        prefix = item.checked ? '[x] ' : '[ ] ';\n      } else if (t.ordered) {\n        prefix = `${(t.start ?? 1) + i}. `;\n      } else {\n        prefix = '- ';\n      }\n      const first = item.tokens?.[0];\n      const isLoose = item.loose || (item.tokens && item.tokens.length > 1 && first?.type === 'paragraph');\n      const content = isLoose ? this.p.parse(item.tokens) : this.parseInline(item.tokens);\n      const bodyLines = content.trimEnd().split('\\n');\n      const indented = bodyLines.map((l, idx) => (idx === 0 ? l : '  ' + l)).join('\\n');\n      out.push(prefix + indented);\n      i++;\n    }\n    return '\\n' + out.join('\\n') + '\\n\\n';\n  }\n  code(t: any): string {\n    const body = String(t.text || '').replace(/\\n$/, '');\n    const indented = body.split('\\n').map(l => `    ${l}`).join('\\n');\n    return `\\n${indented}\\n\\n`;\n  }\n  table(t: any): string {\n    const cellText = (c: any) => {\n      const tokens = c.tokens ?? [{ type: 'text', raw: c.text || '', text: c.text || '' }];\n      return this.parseInline(tokens).trim().replace(/\\n/g, ' ');\n    };\n    const head = t.header.map(cellText).join(' | ');\n    const sep = t.header.map(() => '---').join(' | ');\n    const body = t.rows.map((row: any[]) => row.map(cellText).join(' | ')).join('\\n');\n    return `\\n${head}\\n${sep}\\n${body}\\n\\n`;\n  }\n  paragraph(t: any): string { return this.parseInline(t.tokens) + '\\n\\n'; }\n}\n\nconst mdRenderer = new TerminalRenderer();\nmarked.setOptions({ renderer: mdRenderer, gfm: true, breaks: true });\n\nfunction renderMarkdown(src: string): string {\n  // Decode common HTML entities that LLMs emit literally (marked only decodes\n  // them when they're inside an HTML block, not in plain text).\n  const decoded = s(src)\n    .replace(/&#39;/g, \"'\")\n    .replace(/&#x27;/g, \"'\")\n    .replace(/&quot;/g, '\"')\n    .replace(/&#34;/g, '\"')\n    .replace(/&amp;/g, '&')\n    .replace(/&lt;/g, '<')\n    .replace(/&gt;/g, '>');\n  try {\n    return s(marked.parse(decoded));\n  } catch {\n    return decoded;\n  }\n}\n\nfunction HeaderBar() {\n  const { colors } = useTheme();\n  const cwd = process.cwd().replace(process.env.HOME ?? '', '~');\n\n  return (\n    <box\n      style={{\n        flexDirection: 'row',\n        height: 2,\n        backgroundColor: colors.headerBg,\n        paddingLeft: 1,\n        paddingRight: 1,\n        alignItems: 'center',\n        justifyContent: 'space-between',\n      }}\n    >\n      <text fg={colors.headerFg}><b>\u2310</b></text>\n      <box alignItems=\"center\" flexDirection=\"column\">\n        <text fg={colors.headerFg}><b>{APP_NAME} \u2014 {s(APP_NAME.toLowerCase())}</b></text>\n        <text fg={colors.textMuted}>{s(cwd)}</text>\n      </box>\n      <text fg={colors.headerFg}>\u25A4  \u2630  \u2296  \u22A1  \u2715</text>\n    </box>\n  );\n}\n\nfunction StatusBar() {\n  const { colors } = useTheme();\n  const { currentAgent, currentModel, isRunning } = useAgent();\n  const { messages } = useSession();\n  const { width } = useTerminalDimensions();\n\n  const cwd = process.cwd().replace(process.env.HOME ?? '', '~');\n  const sidebarW = width >= 90 ? 30 : 0;\n  const usableW = Math.max(20, width - sidebarW);\n\n  // Token usage (placeholder heuristic \u2014 full tracking would require server stats)\n  const totalChars = messages.reduce((n, m) => n + (m.content?.length || 0), 0);\n  const tokens = Math.round(totalChars / 4);\n  const pct = Math.min(99, Math.round((tokens / 200000) * 100));\n  const tokenStr = tokens >= 1000 ? `${(tokens / 1000).toFixed(1)}K` : `${tokens}`;\n\n  return (\n    <box\n      style={{\n        height: 1,\n        flexDirection: 'row',\n        backgroundColor: colors.statusBg,\n        paddingLeft: 1,\n        paddingRight: 1,\n        justifyContent: 'space-between',\n        alignItems: 'center',\n        width: usableW,\n      }}\n    >\n      <text fg={colors.textMuted}>{s(cwd)}</text>\n      <box style={{ flexDirection: 'row' }}>\n        <text fg={colors.textMuted}>{s(tokenStr)} ({pct}%)</text>\n        <text fg={colors.info}>  ctrl+p </text>\n        <text fg={colors.textMuted}>commands</text>\n        {isRunning ? <text fg={colors.warning}>  esc interrupt</text> : null}\n      </box>\n      <text fg={colors.primary}><b>{s(APP_NAME)}</b> {s(APP_VERSION)}</text>\n    </box>\n  );\n}\n\nfunction AgentModelLine({ inline = false }: { inline?: boolean }) {\n  const { colors } = useTheme();\n  const { currentAgent, currentModel, isRunning } = useAgent();\n  return (\n    <box style={{ flexDirection: 'row', gap: 1, ...(inline ? {} : { paddingLeft: 1, paddingRight: 1, marginTop: 0, marginBottom: 0 }) }}>\n      <text fg={colors.textSecondary}>{s(currentModel)}</text>\n      <text fg={colors.textMuted}>\u00B7</text>\n      <text fg={colors.textMuted}>\u00B7</text>\n      <text fg={colors.primary}><b>{s(currentAgent.name.replace(' Agent', '').toLowerCase())}</b></text>\n      {isRunning ? (\n        <text fg={colors.warning}>\u00B7 generating\u2026</text>\n      ) : null}\n    </box>\n  );\n}\n\nfunction ShortcutHints({ interrupted = false }: { interrupted?: boolean }) {\n  const { colors } = useTheme();\n  return (\n    <box style={{ flexDirection: 'row', gap: 2, paddingLeft: 1, paddingRight: 1, marginTop: 1 }}>\n      {interrupted ? (\n        <text fg={colors.textMuted}>.......  esc interrupt</text>\n      ) : (\n        <>\n          <text fg={colors.textMuted}>tab agents</text>\n          <text fg={colors.textMuted}>ctrl+p commands</text>\n        </>\n      )}\n    </box>\n  );\n}\n\nfunction PixelLogo() {\n  const { colors } = useTheme();\n  const letter = `\n\u2588\u2580\u2588 \u2588\u2580\u2588 \u2588\u2580\u2588 \u2588\u2580\u2588 \u2588\u2588\u2588 \u2588\u2580\u2588 \u2588\u2580\u2588 \u2588\u2580\u2588 \u2588\u2580\u2588\n\u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580 \u2588\u2580\u2580\n\u2580   \u2580\u2580\u2580 \u2580\u2580\u2580 \u2580\u2580\u2580 \u2580   \u2580\u2580\u2580 \u2580\u2580\u2580 \u2580\u2580\u2580 \u2580\u2580\u2580 \u2580\u2580\u2580\n  `;\n  const logo = letter.split('\\n').filter(Boolean);\n\n  return (\n    <box alignItems=\"center\" flexDirection=\"column\" gap={0}>\n      {logo.map((line, i) => (\n        <text key={s(i)} fg={colors.primary}>{s(line)}</text>\n      ))}\n    </box>\n  );\n}\n\nfunction Sidebar({ compact = false }: { compact?: boolean }) {\n  const { colors } = useTheme();\n  const { currentAgent, currentModel } = useAgent();\n  const { todos } = useTodos();\n  const cwd = process.cwd().replace(process.env.HOME ?? '', '~');\n  const sessionTime = new Date().toISOString().replace(/\\.\\d+Z$/, 'Z').replace('T', '').slice(0, 19) + 'Z';\n\n  const todoPanel = todos.length > 0 ? (\n    <box style={{ flexDirection: 'column', marginTop: 1 }}>\n      <text fg={colors.text}><b>\u25BC Todo</b></text>\n      <box style={{ flexDirection: 'column' }}>\n        {todos.map(t => (\n          <box key={t.id} style={{ flexDirection: 'row' }}>\n            <text fg={\n              t.status === 'completed' ? colors.success :\n              t.status === 'in_progress' ? colors.warning :\n              colors.textMuted\n            }>\n              {t.status === 'completed' ? '[\u2713] ' : t.status === 'in_progress' ? '[\u2022] ' : '[ ] '}\n            </text>\n            <text fg={\n              t.status === 'completed' ? colors.textMuted :\n              t.status === 'in_progress' ? colors.warning :\n              colors.text\n            }>{s(t.content)}</text>\n          </box>\n        ))}\n      </box>\n    </box>\n  ) : null;\n\n  if (compact) {\n    return (\n      <box\n        style={{\n          width: 28,\n          flexDirection: 'column',\n          border: true,\n          borderColor: colors.border,\n          paddingLeft: 1,\n          paddingRight: 0,\n          borderStyle: 'single',\n        }}\n      >\n        <text fg={colors.text}><b>Info</b></text>\n        <box style={{ marginTop: 1 }}>\n          <text fg={colors.textMuted}>agent </text>\n          <text fg={colors.primary}>{s(currentAgent.name.replace(' Agent', ''))}</text>\n        </box>\n        <text fg={colors.textMuted}>model {s(currentModel)}</text>\n        <box style={{ marginTop: 1 }}>\n          <text fg={colors.success}>\u25CF</text>\n          <text fg={colors.textMuted}> mcp connected</text>\n        </box>\n        {todoPanel}\n        <box style={{ flexGrow: 1 }} />\n        <box style={{ marginTop: 1 }}>\n          <text fg={colors.textMuted}>{s(APP_VERSION)}</text>\n        </box>\n        <text fg={colors.textMuted}>ctrl+b sidebar</text>\n      </box>\n    );\n  }\n\n  return (\n    <box\n      style={{\n        width: 35,\n        flexDirection: 'column',\n        border: true,\n        borderColor: colors.border,\n        paddingLeft: 1,\n        paddingRight: 1,\n        borderStyle: 'single',\n      }}\n    >\n      <text fg={colors.text}><b>New session - {s(sessionTime.slice(0, 17))}</b></text>\n      <text fg={colors.textMuted}>{s(sessionTime.slice(17))}</text>\n\n      <box style={{ marginTop: 1 }}>\n        <text fg={colors.text}><b>Context</b></text>\n      </box>\n      <text fg={colors.textMuted}>0 tokens</text>\n      <text fg={colors.textMuted}>0% used</text>\n      <text fg={colors.textMuted}>$0.00 spent</text>\n\n      <box style={{ marginTop: 1 }}>\n        <text fg={colors.text}><b>MCP</b></text>\n      </box>\n      <box>\n        <text fg={colors.success}>\u25CF</text>\n        <text fg={colors.textSecondary}> railway </text>\n        <text fg={colors.textMuted}>Connected</text>\n      </box>\n\n      <box style={{ marginTop: 1 }}>\n        <text fg={colors.text}><b>LSP</b></text>\n      </box>\n      <text fg={colors.textMuted}>LSPs are disabled</text>\n\n      {todoPanel}\n\n      <box style={{ flexGrow: 1 }} />\n      <box style={{ marginTop: 1 }}>\n        <text fg={colors.textMuted}>{s(cwd)}</text>\n      </box>\n      <box>\n        <text fg={colors.primary}><b>\u25CF {s(APP_NAME)} </b></text>\n        <text fg={colors.textMuted}>{s(APP_VERSION)}</text>\n      </box>\n    </box>\n  );\n}\n\nfunction MessageBubble({ msg }: { msg: Message }) {\n  const { colors } = useTheme();\n  const isUser = msg.role === 'user';\n  const isTool = msg.role === 'tool';\n\n  // Tool results: collapsed single line with chevron\n  if (isTool) {\n    return (\n      <box style={{\n        paddingLeft: 2,\n        paddingRight: 2,\n        paddingTop: 0,\n        paddingBottom: 0,\n        flexDirection: 'row',\n        gap: 1,\n      }}>\n        <text fg={colors.textMuted}><b>\u203A</b></text>\n        <text fg={colors.textMuted}>\n          {s(msg.toolName ?? 'tool')} {s(msg.content.length > 60 ? msg.content.slice(0, 60) + '\u2026' : msg.content.split('\\n')[0])}\n        </text>\n      </box>\n    );\n  }\n\n  // User messages: bold \">\" prefix + text, no border\n  if (isUser) {\n    return (\n      <box style={{\n        paddingLeft: 1,\n        paddingRight: 1,\n        paddingTop: 0,\n        paddingBottom: 0,\n        flexDirection: 'row',\n        gap: 1,\n      }}>\n        <text fg={colors.primary}><b>&gt;</b></text>\n        <text fg={colors.text} wrapMode=\"word\">{s(msg.content)}</text>\n      </box>\n    );\n  }\n\n  // Assistant messages: markdown-rendered text, no border\n  return (\n    <box style={{\n      paddingLeft: 1,\n      paddingRight: 1,\n      paddingTop: 0,\n      paddingBottom: 0,\n      flexDirection: 'column',\n    }}>\n      <text fg={colors.text} wrapMode=\"word\">\n        {s(renderMarkdown(msg.content || ' '))}\n      </text>\n      {msg.toolCalls && msg.toolCalls.length > 0 ? (\n        <box style={{ marginTop: 0, flexDirection: 'column', paddingLeft: 1 }}>\n          {msg.toolCalls.map(tc => {\n            // Show file operations with + or ~ indicators\n            if (tc.name === 'write' || tc.name === 'edit') {\n              const filePath = (tc.args as any)?.filePath || (tc.args as any)?.path || '';\n              const isCreate = tc.name === 'write';\n              const icon = isCreate ? '+' : '~';\n              const iconColor = isCreate ? colors.success : colors.warning;\n              return (\n                <box key={s(tc.id)} style={{ flexDirection: 'row', gap: 1 }}>\n                  <text fg={iconColor}><b>{icon}</b></text>\n                  <text fg={colors.textSecondary}>{s(filePath)}</text>\n                </box>\n              );\n            }\n            // Show other tool calls in muted format\n            return (\n              <box key={s(tc.id)} style={{ flexDirection: 'row', gap: 1 }}>\n                <text fg={tc.status === 'error' ? colors.error : colors.textMuted}>\n                  {s(tc.name)}{tc.status === 'done' ? ' \u2713' : tc.status === 'error' ? ' \u2717' : '\u2026'}\n                </text>\n              </box>\n            );\n          })}\n        </box>\n      ) : null}\n    </box>\n  );\n}\n\nfunction MessageContainer() {\n  const { messages } = useSession();\n  const { colors } = useTheme();\n\n  return (\n    <scrollbox style={{\n      flexGrow: 1,\n      flexShrink: 1,\n      flexBasis: 0,\n      backgroundColor: colors.bg,\n      paddingLeft: 1,\n      paddingRight: 1,\n    }}>\n      <box style={{ flexDirection: 'column', gap: 1, paddingTop: 1 }}>\n        {messages.map(msg => (\n          <MessageBubble key={s(msg.id)} msg={msg} />\n        ))}\n      </box>\n    </scrollbox>\n  );\n}\n\ninterface CommandEntry {\n  name: string;\n  description: string;\n  shortcut?: string;\n}\n\nconst COMMANDS: CommandEntry[] = [\n  { name: '/theme', description: 'Switch terminal theme', shortcut: '' },\n  { name: '/model', description: 'Switch language model', shortcut: 'ctrl+p' },\n  { name: '/agents', description: 'Switch agent', shortcut: 'tab' },\n  { name: '/clear', description: 'Clear terminal', shortcut: '' },\n  { name: '/compact', description: 'Compact conversation', shortcut: '' },\n  { name: '/help', description: 'Show help & shortcuts', shortcut: '' },\n  { name: '/status', description: 'Show config status', shortcut: '' },\n  { name: '/exit', description: 'Exit application', shortcut: 'ctrl+c' },\n];\n\nfunction CommandPalette({\n  filter,\n  selectedIndex,\n}: {\n  filter: string;\n  selectedIndex: number;\n}) {\n  const { colors } = useTheme();\n\n  const filtered = React.useMemo(() => {\n    if (!filter) return COMMANDS;\n    const lower = filter.toLowerCase();\n    return COMMANDS.filter(c =>\n      c.name.toLowerCase().includes(lower) ||\n      c.description.toLowerCase().includes(lower)\n    );\n  }, [filter]);\n\n  if (filtered.length === 0) return null;\n\n  return (\n    <box\n      style={{\n        position: 'absolute',\n        bottom: 6,\n        width: 60,\n        maxHeight: 16,\n        border: true,\n        borderStyle: 'rounded',\n        borderColor: colors.primary,\n        backgroundColor: colors.surface2,\n        paddingLeft: 1,\n        paddingRight: 1,\n        paddingTop: 1,\n        paddingBottom: 1,\n        flexDirection: 'column',\n        zIndex: 10,\n        marginLeft: 1,\n      }}\n    >\n      <text fg={colors.primary}><b>  Commands</b></text>\n      {filtered.map((cmd, i) => (\n        <box\n          key={cmd.name}\n          style={{\n            paddingLeft: 1,\n            paddingRight: 1,\n            paddingTop: 0,\n            paddingBottom: 0,\n            backgroundColor: i === selectedIndex ? colors.primaryDim : 'transparent',\n            flexDirection: 'row',\n            justifyContent: 'space-between',\n            width: '100%',\n          }}\n        >\n          <text fg={i === selectedIndex ? '#ffffff' : colors.text}>{cmd.name}</text>\n          <text fg={colors.textMuted}>{cmd.description}</text>\n          {cmd.shortcut ? (\n            <text fg={colors.accent}> {cmd.shortcut}</text>\n          ) : null}\n        </box>\n      ))}\n      <text fg={colors.textMuted}>  \u2191\u2193 navigate \u00B7 Enter select \u00B7 Esc close</text>\n    </box>\n  );\n}\n\nfunction InputEditor({\n  onSubmit,\n  placeholder,\n  showAbove,\n}: {\n  onSubmit: (value: string) => void;\n  placeholder?: string;\n  showAbove?: boolean;\n}) {\n  const { colors } = useTheme();\n  const { isRunning } = useAgent();\n  const [value, setValue] = React.useState('');\n  const inputRef = React.useRef<InputRenderable | null>(null);\n\n  const paletteOpen = value.startsWith('/');\n  const paletteFilter = value.slice(1);\n\n  const filteredCommands = React.useMemo(() => {\n    if (!paletteOpen) return [];\n    const lower = paletteFilter.toLowerCase();\n    if (!lower) return COMMANDS;\n    return COMMANDS.filter(c =>\n      c.name.toLowerCase().includes(lower) ||\n      c.description.toLowerCase().includes(lower)\n    );\n  }, [paletteOpen, paletteFilter]);\n\n  const doSubmit = () => {\n    if (!value.trim()) return;\n    if (isRunning) return;\n\n    // If palette is open and there are filtered commands, execute the first one\n    if (paletteOpen && filteredCommands.length > 0) {\n      const cmd = filteredCommands[0];\n      setValue('');\n      onSubmit(cmd.name);\n      return;\n    }\n\n    const v = value;\n    setValue('');\n    onSubmit(v);\n  };\n\n  // Keep the input focused so Enter reaches its onSubmit handler even after\n  // the layout swaps between the initial and post-message editor instances.\n  React.useEffect(() => {\n    inputRef.current?.focus();\n  });\n\n  if (showAbove) {\n    return (\n      <box style={{ flexDirection: 'column' }}>\n        {paletteOpen && filteredCommands.length > 0 ? (\n          <CommandPalette filter={paletteFilter} selectedIndex={0} />\n        ) : null}\n        <box style={{\n          border: true,\n          borderStyle: 'single',\n          borderColor: isRunning ? colors.warning : (paletteOpen ? colors.primary : colors.border),\n          paddingLeft: 2,\n          paddingRight: 2,\n          paddingTop: 1,\n          paddingBottom: 1,\n          backgroundColor: colors.inputBg,\n          marginLeft: 1,\n          marginRight: 1,\n          marginTop: 1,\n        }}>\n          <input\n            ref={inputRef}\n            value={value}\n            focused={true}\n            onChange={(val) => setValue(s(val))}\n            onSubmit={() => doSubmit()}\n            placeholder={s(placeholder)}\n            placeholderColor={colors.textMuted}\n            textColor={colors.text}\n            backgroundColor={colors.inputBg}\n          />\n        </box>\n        <AgentModelLine inline={false} />\n      </box>\n    );\n  }\n\n  return (\n    <box style={{ flexDirection: 'column' }}>\n      {paletteOpen && filteredCommands.length > 0 ? (\n        <CommandPalette filter={paletteFilter} selectedIndex={0} />\n      ) : null}\n      <AgentModelLine inline={false} />\n      <box style={{\n        border: true,\n        borderStyle: 'single',\n        borderColor: isRunning ? colors.warning : (paletteOpen ? colors.primary : colors.border),\n        paddingLeft: 2,\n        paddingRight: 2,\n        paddingTop: 1,\n        paddingBottom: 1,\n        backgroundColor: colors.inputBg,\n        marginLeft: 1,\n        marginRight: 1,\n      }}>\n        <input\n          ref={inputRef}\n          value={value}\n          focused={true}\n          onChange={(val) => setValue(s(val))}\n          onSubmit={() => doSubmit()}\n          placeholder={s(placeholder)}\n          placeholderColor={colors.textMuted}\n          textColor={colors.text}\n          backgroundColor={colors.inputBg}\n        />\n      </box>\n    </box>\n  );\n}\n\nfunction HelpDialog() {\n  const { colors } = useTheme();\n  return (\n    <box\n      style={{\n        position: 'absolute',\n        top: 2,\n        width: 60,\n        border: true,\n        borderStyle: 'rounded',\n        borderColor: colors.primary,\n        backgroundColor: colors.surface2,\n        padding: 2,\n        flexDirection: 'column',\n        gap: 1,\n        zIndex: 10,\n        alignItems: 'center',\n      }}\n    >\n      <box style={{ flexDirection: 'row', justifyContent: 'center', width: '100%' }}>\n        <text fg={colors.primary}><b>Help \u00B7 Commands & Shortcuts</b></text>\n      </box>\n      <box style={{ flexDirection: 'column', gap: 0, width: '100%' }}>\n        <box style={{ flexDirection: 'row' }}><text fg={colors.accent}><b>Tab</b></text><text fg={colors.text}> \u2014 cycle agent</text></box>\n        <box style={{ flexDirection: 'row' }}><text fg={colors.accent}><b>Ctrl+P</b></text><text fg={colors.text}> \u2014 model/commands palette</text></box>\n        <box style={{ flexDirection: 'row' }}><text fg={colors.accent}><b>Ctrl+B</b></text><text fg={colors.text}> \u2014 toggle sidebar</text></box>\n        <box style={{ flexDirection: 'row' }}><text fg={colors.accent}><b>Esc</b></text><text fg={colors.text}> \u2014 interrupt / close dialog</text></box>\n        <box style={{ flexDirection: 'row' }}><text fg={colors.accent}><b>Ctrl+C</b></text><text fg={colors.text}> \u2014 exit (when idle)</text></box>\n      </box>\n      <box style={{ flexDirection: 'column', gap: 0, marginTop: 1, width: '100%' }}>\n        <text fg={colors.textSecondary}>/help \u00B7 /models \u00B7 /agents \u00B7 /clear \u00B7 /exit</text>\n      </box>\n    </box>\n  );\n}\n\ninterface KeyEvent { name: string; ctrl: boolean; }\n\nfunction ModelAgentDialog() {\n  const { colors } = useTheme();\n  const { currentModel, currentAgent, setModel, setAgent, availableAgents } = useAgent();\n  const [tab, setTab] = React.useState<'agent' | 'model'>('agent');\n  const autoSelector = React.useMemo(() => new AutoModelSelector(), []);\n  const models = autoSelector.listModels();\n  const selectedIdx = React.useRef(0);\n\n  useKeyboard((key: KeyEvent) => {\n    if (key.name === 'arrowDown') {\n      selectedIdx.current = Math.min(selectedIdx.current + 1, (tab === 'agent' ? availableAgents.length : models.length) - 1);\n      return true;\n    }\n    if (key.name === 'arrowUp') {\n      selectedIdx.current = Math.max(0, selectedIdx.current - 1);\n      return true;\n    }\n    if (key.name === 'tab') {\n      setTab(t => (t === 'agent' ? 'model' : 'agent'));\n      selectedIdx.current = 0;\n      return true;\n    }\n    if (key.name === 'return' || key.name === 'enter') {\n      const items = tab === 'agent' ? availableAgents : models;\n      const it = items[selectedIdx.current] as { id: string };\n      if (it?.id) {\n        if (tab === 'agent') setAgent(it.id);\n        else setModel(it.id);\n      }\n      return true;\n    }\n    return false;\n  });\n\n  const items = tab === 'agent' ? availableAgents : models;\n  const isAgent = tab === 'agent';\n\n  return (\n    <box\n      style={{\n        position: 'absolute',\n        top: 2,\n        width: 70,\n        maxHeight: 30,\n        border: true,\n        borderStyle: 'rounded',\n        borderColor: colors.primary,\n        backgroundColor: colors.surface2,\n        padding: 1,\n        flexDirection: 'column',\n        gap: 1,\n        zIndex: 10,\n        alignItems: 'center',\n      }}\n    >\n      <box style={{ flexDirection: 'row', gap: 2, border: false, width: '100%', justifyContent: 'flex-start' }}>\n        {tab === 'agent' ? (\n          <text fg={colors.primary}><b><u>Agents</u></b></text>\n        ) : (\n          <text fg={colors.textMuted}>Agents</text>\n        )}\n        {tab === 'model' ? (\n          <text fg={colors.primary}><b><u>Models</u></b></text>\n        ) : (\n          <text fg={colors.textMuted}>Models</text>\n        )}\n      </box>\n      <scrollbox style={{ maxHeight: 22, flexGrow: 1, width: '100%' }}>\n        <box style={{ flexDirection: 'column', width: '100%' }}>\n          {items.map((it, i: number) => {\n            const item = it as { id: string; name: string; model?: string; provider?: string; contextWindow?: number };\n            const id = item.id;\n            const name = item.name;\n            const ctxK = Math.round((item.contextWindow ?? 0) / 1000);\n            const subtitle = isAgent\n              ? s(item.model ?? '')\n              : `${s(item.provider ?? '')} \u00B7 ${s(ctxK)}k ctx`;\n            const isCurrent = isAgent ? currentAgent.id === id : currentModel === id;\n            return (\n              <box\n                key={s(id)}\n                style={{\n                  paddingLeft: 1,\n                  paddingRight: 1,\n                  paddingTop: 0,\n                  paddingBottom: 0,\n                  backgroundColor: i === selectedIdx.current ? colors.primaryDim : 'transparent',\n                  flexDirection: 'row',\n                  justifyContent: 'space-between',\n                  width: '100%',\n                }}\n              >\n                <box style={{ flexDirection: 'column' }}>\n                  <text fg={colors.text}><b>{s(name)}</b></text>\n                  <text fg={colors.textMuted}>{s(subtitle)}</text>\n                </box>\n                {isCurrent ? (\n                  <text fg={colors.success}><b>\u25C9</b></text>\n                ) : null}\n              </box>\n            );\n          })}\n        </box>\n      </scrollbox>\n      <text fg={colors.textMuted}>\u2191\u2193 navigate \u00B7 tab switch \u00B7 Enter select \u00B7 Esc close</text>\n    </box>\n  );\n}\n\nfunction ToastContainer() {\n  const { toasts } = useToast();\n  const { colors } = useTheme();\n  return (\n    <box style={{\n      position: 'absolute',\n      bottom: 2,\n      right: 1,\n      flexDirection: 'column',\n      gap: 1,\n      zIndex: 20,\n    }}>\n      {toasts.map(t => (\n        <box\n          key={s(t.id)}\n          style={{\n            paddingLeft: 1,\n            paddingRight: 1,\n            backgroundColor: colors.surface2,\n            border: true,\n            borderStyle: 'rounded',\n            borderColor:\n              t.kind === 'error' ? colors.error :\n              t.kind === 'warning' ? colors.warning :\n              t.kind === 'success' ? colors.success : colors.info,\n          }}\n        >\n          <text\n            fg={\n              t.kind === 'error' ? colors.error :\n              t.kind === 'warning' ? colors.warning :\n              t.kind === 'success' ? colors.success : colors.info\n            }\n          >\n            <b>{s(t.kind.toUpperCase())}:</b>\n          </text>\n          <text fg={colors.text} style={{ paddingLeft: 1 }}>{s(t.message)}</text>\n        </box>\n      ))}\n    </box>\n  );\n}\n\nexport function App() {\n  const { colors } = useTheme();\n  const { messages } = useSession();\n  const { currentAgent, isRunning, setAgent } = useAgent();\n  const { isOpen, openDialog, closeDialog, dialog } = useDialog();\n  const { sendMessage, cancelCurrent } = useAgentRunner();\n  const renderer = useRenderer();\n  const { width } = useTerminalDimensions();\n  const [sidebarForced, setSidebarForced] = React.useState(false);\n  const hasMessages = messages.length > 0;\n  const sidebarVisible = hasMessages && (sidebarForced || width >= SIDEBAR_BREAKPOINT);\n  const [infoCompact, setInfoCompact] = React.useState(false);\n\n  useKeyboard((key: KeyEvent) => {\n    if (key.ctrl && key.name === 'p') {\n      openDialog('model');\n      return true;\n    }\n    if (key.ctrl && key.name === 'b') {\n      setSidebarForced(v => {\n        const next = !v;\n        setInfoCompact(width < SIDEBAR_BREAKPOINT && !next);\n        return next;\n      });\n      return true;\n    }\n    if (key.name === 'tab') {\n      const agents = ['build', 'plan', 'debug', 'testing', 'security'];\n      const idx = agents.indexOf(currentAgent.id);\n      const next = agents[(idx + 1 + agents.length) % agents.length];\n      setAgent(next);\n      return true;\n    }\n    if (key.ctrl && key.name === 'c') {\n      if (isRunning) {\n        cancelCurrent();\n      } else if (!isOpen) {\n        try { renderer.destroy(); } catch { process.exit(0); }\n      }\n      return true;\n    }\n    if (key.name === 'escape') {\n      if (isRunning) {\n        cancelCurrent();\n      } else if (isOpen) {\n        closeDialog();\n      }\n      return true;\n    }\n    return false;\n  });\n\n  const handleSubmit = (value: string) => {\n    if (value.startsWith('/')) {\n      const [command, ...args] = value.slice(1).split(' ');\n      void args;\n      switch (command) {\n        case 'help':\n          openDialog('help');\n          return;\n        case 'models':\n        case 'model':\n          openDialog('model');\n          return;\n        case 'agents':\n        case 'agent':\n          openDialog('model');\n          return;\n        case 'clear':\n          process.stdout.write('\\x1b[2J\\x1b[H');\n          return;\n        case 'status':\n          openDialog('help');\n          return;\n        case 'exit':\n        case 'quit':\n          try { renderer.destroy(); } catch { process.exit(0); }\n          return;\n        default:\n          break;\n      }\n    }\n    void sendMessage(value);\n  };\n\n  React.useEffect(() => {\n    if (width < SIDEBAR_BREAKPOINT && !sidebarForced) setInfoCompact(true);\n    else setInfoCompact(false);\n  }, [width, sidebarForced]);\n\n  return (\n    <box style={{ flexDirection: 'column', width: '100%', height: '100%', backgroundColor: colors.bg }}>\n      <HeaderBar />\n\n      <box style={{ flexDirection: 'row', flexGrow: 1, width: '100%' }}>\n        <box style={{ flexDirection: 'column', flexGrow: 1, backgroundColor: colors.bg }}>\n          <box\n            style={{\n              flexDirection: 'column',\n              flexGrow: 1,\n              justifyContent: hasMessages ? 'flex-start' : 'center',\n              overflow: 'hidden',\n            }}\n          >\n            {hasMessages ? (\n              <MessageContainer />\n            ) : (\n              <box style={{ flexDirection: 'column', alignItems: 'center', gap: 1 }}>\n                <PixelLogo />\n              </box>\n            )}\n          </box>\n\n          {hasMessages ? (\n            <box style={{ flexDirection: 'column', flexShrink: 0 }}>\n              <InputEditor\n                onSubmit={handleSubmit}\n                placeholder={isRunning ? 'Generating\u2026 press esc to interrupt' : 'Ask anything...'}\n                showAbove={false}\n              />\n              <ShortcutHints interrupted={isRunning} />\n            </box>\n          ) : (\n            <box style={{ flexDirection: 'column', alignItems: 'center', flexShrink: 0 }}>\n              <box style={{ width: 60, maxWidth: '80%' }}>\n                <InputEditor\n                  onSubmit={handleSubmit}\n                  placeholder={'Ask anything...'}\n                  showAbove={true}\n                />\n              </box>\n              <ShortcutHints interrupted={isRunning} />\n            </box>\n          )}\n        </box>\n\n        {sidebarVisible ? (\n          <Sidebar compact={false} />\n        ) : (\n          infoCompact ? <Sidebar compact={true} /> : null\n        )}\n      </box>\n\n      <StatusBar />\n\n      {isOpen && dialog.type === 'model' ? <ModelAgentDialog /> : null}\n      {isOpen && dialog.type === 'help' ? <HelpDialog /> : null}\n      <ToastContainer />\n    </box>\n  );\n}\n\nexport { createRoot };\n", "import React from 'react';\nimport { createCliRenderer, type CliRenderer, setRenderLibPath } from '@opentui/core';\nimport { createRoot as createReactRoot } from '@opentui/react';\nimport { ThemeProvider } from './theme';\nimport { SessionProvider, AgentProvider, DialogProvider, ToastProvider, TodoProvider } from './context/providers';\nimport { App } from './app';\nimport { getConfig } from '../config';\nimport { existsSync } from 'node:fs';\nimport { createRequire } from 'node:module';\nimport { dirname, isAbsolute, join, resolve as pathResolve } from 'node:path';\nimport { fileURLToPath, pathToFileURL } from 'node:url';\n\nexport interface TUILauncherOptions {\n  model?: string;\n  agent?: string;\n}\n\ntype Platform = 'darwin' | 'linux' | 'win32';\ntype Arch = 'arm64' | 'x64';\ntype Libc = 'glibc' | 'musl';\n\nconst NATIVE_FILE_NAMES: Record<Platform, string> = {\n  darwin: 'libopentui.dylib',\n  linux: 'libopentui.so',\n  win32: 'opentui.dll',\n};\n\nfunction getCurrentTarget(): { platform: Platform; arch: Arch; libc?: Libc } | null {\n  const p = process.platform as string;\n  const a = process.arch as string;\n  if (p !== 'darwin' && p !== 'linux' && p !== 'win32') return null;\n  if (a !== 'arm64' && a !== 'x64') return null;\n  const target: { platform: Platform; arch: Arch; libc?: Libc } = { platform: p, arch: a };\n  if (p === 'linux') {\n    const libcEnv = process.env.OPENTUI_LIBC;\n    if (libcEnv === 'musl') target.libc = 'musl';\n  }\n  return target;\n}\n\nfunction makePackageName(target: { platform: Platform; arch: Arch; libc?: Libc }): string {\n  const libcSuffix = target.platform === 'linux' && target.libc === 'musl' ? '-musl' : '';\n  return `@opentui/core-${target.platform}-${target.arch}${libcSuffix}`;\n}\n\nasync function resolveNativeLibViaImport(pkgName: string): Promise<string | null> {\n  try {\n    const mod = await import(pkgName);\n    const p = (mod?.default ?? mod) as unknown;\n    if (typeof p === 'string' && existsSync(p)) return p;\n    return null;\n  } catch {\n    return null;\n  }\n}\n\nfunction resolveNativeLibViaRequire(pkgName: string, libFile: string): string | null {\n  try {\n    const req = createRequire(import.meta.url);\n    let pkgDir: string | null = null;\n    try {\n      const resolved = req.resolve(pkgName);\n      pkgDir = dirname(resolved);\n    } catch {\n      // req.resolve may fail on ESM-only packages. Try import.meta.resolve via URL.\n      try {\n        const url = (import.meta as unknown as { resolve: (s: string) => string }).resolve(pkgName + '/index.js');\n        pkgDir = dirname(fileURLToPath(url));\n      } catch {\n        try {\n          const url = (import.meta as unknown as { resolve: (s: string) => string }).resolve(pkgName);\n          pkgDir = dirname(fileURLToPath(url));\n        } catch { /* ignore */ }\n      }\n    }\n    if (pkgDir) {\n      const candidate = join(pkgDir, libFile);\n      if (existsSync(candidate)) return candidate;\n      const parentCandidate = join(dirname(pkgDir), libFile);\n      if (existsSync(parentCandidate)) return parentCandidate;\n    }\n    return null;\n  } catch {\n    return null;\n  }\n}\n\nfunction resolveNativeLibViaSearch(libFile: string): string | null {\n  const searchBases: string[] = [];\n  try {\n    const req = createRequire(import.meta.url);\n    searchBases.push(dirname(req.resolve('@opentui/core/package.json')));\n  } catch { /* ignore */ }\n  searchBases.push(join(process.cwd(), 'node_modules', '@opentui', 'core'));\n  try { searchBases.push(dirname(fileURLToPath(import.meta.url))); } catch { /* ignore */ }\n  const dedupedBases = [...new Set(searchBases.filter(Boolean))];\n  for (const coreBase of dedupedBases) {\n    const nmDir = join(dirname(coreBase), '..');\n    for (const target of buildSearchTargets()) {\n      const nmPath = join(nmDir, makePackageName(target), libFile);\n      if (existsSync(nmPath)) return nmPath;\n      const siblingPath = join(dirname(coreBase), makePackageName(target), libFile);\n      if (existsSync(siblingPath)) return siblingPath;\n    }\n  }\n  try {\n    const execDir = dirname(process.execPath);\n    for (const target of buildSearchTargets()) {\n      const candidate = join(execDir, '..', 'lib', 'node_modules', 'bravecode-cli', 'node_modules', makePackageName(target), libFile);\n      if (existsSync(candidate)) return candidate;\n      const flat = join(execDir, '..', 'lib', 'node_modules', makePackageName(target), libFile);\n      if (existsSync(flat)) return flat;\n    }\n  } catch { /* ignore */ }\n  return null;\n}\n\nfunction buildSearchTargets(): Array<{ platform: Platform; arch: Arch; libc?: Libc }> {\n  const primary = getCurrentTarget();\n  const targets: Array<{ platform: Platform; arch: Arch; libc?: Libc }> = [];\n  if (primary) targets.push(primary);\n  if (primary?.platform === 'linux' && !primary.libc) {\n    targets.push({ ...primary, libc: 'glibc' });\n    targets.push({ ...primary, libc: 'musl' });\n  }\n  if (primary?.platform === 'linux' && primary.libc === 'musl') {\n    targets.push({ platform: 'linux', arch: primary.arch, libc: 'glibc' });\n  }\n  return targets;\n}\n\nasync function preflightResolveNativeLib(): Promise<string | null> {\n  const primary = getCurrentTarget();\n  if (!primary) return null;\n  const libFile = NATIVE_FILE_NAMES[primary.platform];\n  const targets = buildSearchTargets();\n  for (const t of targets) {\n    const pkgName = makePackageName(t);\n    const viaImport = await resolveNativeLibViaImport(pkgName);\n    if (viaImport) return viaImport;\n    const viaRequire = resolveNativeLibViaRequire(pkgName, NATIVE_FILE_NAMES[t.platform]);\n    if (viaRequire) return viaRequire;\n  }\n  const viaSearch = resolveNativeLibViaSearch(libFile);\n  if (viaSearch) return viaSearch;\n  return null;\n}\n\nexport class TUILauncher {\n  private options: TUILauncherOptions;\n\n  constructor(options: TUILauncherOptions = {}) {\n    this.options = options;\n  }\n\n  async start(): Promise<void> {\n    process.env.BRAVECODE_TUI = '1';\n\n    const resolvedLibPath = await preflightResolveNativeLib();\n    if (resolvedLibPath) {\n      try {\n        setRenderLibPath(resolvedLibPath);\n      } catch {\n        // If already initialized we can't call it; fall through silently.\n      }\n    }\n\n    const cfg = getConfig();\n    const initialAgent = this.options.agent ?? cfg.getNested<string>('agent.default') ?? 'build';\n    const initialModel = this.options.model ?? cfg.getNested<string>('model.default');\n\n    const renderer: CliRenderer = await createCliRenderer({\n      exitOnCtrlC: false,\n    });\n\n    let shutdownPromise: Promise<void> | null = null;\n\n    try {\n      const root = createReactRoot(renderer);\n\n      const tree = React.createElement(ThemeProvider, null,\n        React.createElement(SessionProvider, null,\n          React.createElement(AgentProvider, { initialAgent, initialModel },\n            React.createElement(DialogProvider, null,\n              React.createElement(ToastProvider, null,\n                React.createElement(TodoProvider, null,\n                  React.createElement(App, null)\n                )\n              )\n            )\n          )\n        )\n      );\n\n      root.render(tree);\n\n      shutdownPromise = new Promise(resolve => {\n        const tryResolve = () => resolve();\n        process.once('SIGINT', tryResolve);\n        process.once('SIGTERM', tryResolve);\n      });\n      await shutdownPromise;\n    } catch (err: unknown) {\n      try { renderer.destroy(); } catch { /* swallow */ }\n      const e = err as { message?: unknown };\n      console.error('[TUI] Fatal error:', e?.message ?? err);\n      process.exit(1);\n    }\n  }\n}\n", "import { Command } from \"commander\";\nimport { AutoModelSelector } from \"./autoModel\";\nimport { LLMProviderManager } from \"./provider\";\nimport type { Message } from \"./provider\";\nimport { ToolRegistry } from \"./core/tool\";\nimport { Agent, defaultAgents } from \"./core/agent\";\nimport { Session } from \"./core/session\";\nimport { getConfig } from \"./core/config\";\nimport { ShareManager } from \"./core/share\";\nimport { UpdateChecker } from \"./core/update\";\nimport { APP_VERSION } from \"./version\";\nimport { existsSync, writeFileSync } from \"fs\";\nimport { execSync } from \"child_process\";\nimport { join } from \"path\";\n\nconst program = new Command();\n\nasync function launchTUI(model?: string, agent?: string): Promise<void> {\n  const { TUILauncher } = await import(\"./core/tui/index\");\n  const launcher = new TUILauncher({ model, agent });\n  await launcher.start();\n}\n\nprogram\n  .name(\"bravecode\")\n  .description(\"BraveCode AI - Agentic AI Vibe Coding CLI with free model support\")\n  .version(APP_VERSION)\n  .action(async () => {\n    await launchTUI();\n  });\n\nprogram\n  .command(\"chat\")\n  .description(\"Start a chat session\")\n  .option(\"-m, --model <model>\", \"Model to use (or 'auto' for auto-selection)\")\n  .option(\"-t, --task <task>\", \"Task type hint (code, reasoning, vision, audio, general)\")\n  .option(\"-a, --agent <agent>\", \"Agent to use\", \"build\")\n  .option(\"--tui\", \"Launch interactive TUI mode\")\n  .argument(\"[prompt]\", \"Initial prompt\")\n  .action(async (prompt: string | undefined, options: { model?: string; task?: string; agent?: string; tui?: boolean }) => {\n    if (!prompt || options.tui) {\n      await launchTUI(options.model, options.agent);\n      return;\n    }\n\n    const provider = new LLMProviderManager();\n    const autoModel = new AutoModelSelector();\n\n    let modelId: string;\n    if (options.model === \"auto\" || !options.model) {\n      const taskType = options.task || autoModel.detectTaskType(prompt);\n      const selectedModel = autoModel.selectModel(taskType as any);\n      modelId = selectedModel.id;\n      console.log(`\\nAuto-selected model: ${selectedModel.name} (${modelId})`);\n    } else {\n      modelId = options.model;\n    }\n\n    const messages: Message[] = [{ role: \"user\", content: prompt }];\n\n    console.log(`\\nUsing model: ${modelId}\\n`);\n\n    const stream = provider.chatStream({ model: modelId, messages });\n    for await (const chunk of stream) {\n      if (chunk.type === \"text\" && chunk.text) {\n        process.stdout.write(chunk.text);\n      }\n    }\n    console.log(\"\\n\");\n  });\n\nprogram\n  .command(\"run\")\n  .description(\"Run a single prompt with tool execution (non-interactive)\")\n  .option(\"-m, --model <model>\", \"Model to use\")\n  .option(\"-a, --agent <agent>\", \"Agent to use (build, plan, debug, testing, security, api-security)\", \"build\")\n  .option(\"--auto\", \"Auto-approve permission requests\")\n  .argument(\"<prompt>\", \"The prompt to run\")\n  .action(async (prompt: string, options: { model?: string; agent?: string; auto?: boolean }) => {\n    const provider = new LLMProviderManager();\n    const tools = new ToolRegistry();\n    const autoModel = new AutoModelSelector();\n\n    let modelId = options.model;\n    if (!modelId) {\n      const taskType = autoModel.detectTaskType(prompt);\n      const selectedModel = autoModel.selectModel(taskType as any);\n      modelId = selectedModel.id;\n    }\n\n    const agentConfig = defaultAgents.find((a) => a.id === options.agent) || defaultAgents[0];\n    const agent = new Agent(provider, tools, {\n      ...agentConfig,\n      model: modelId,\n    });\n\n    if (options.auto) {\n      agent.setAutoApprove(true);\n    }\n\n    console.log(`\\nBraveCode AI - Running with ${agentConfig.name}`);\n    console.log(`Model: ${modelId}`);\n    console.log(`Prompt: ${prompt}\\n`);\n\n    const response = await agent.run(prompt, (chunk) => {\n      process.stdout.write(chunk);\n    });\n\n    console.log(\"\\n\");\n  });\n\nprogram\n  .command(\"models\")\n  .description(\"List available models\")\n  .option(\"-p, --provider <provider>\", \"Filter by provider\")\n  .option(\"-c, --capability <capability>\", \"Filter by capability (code, reasoning, vision, audio)\")\n  .action((options: { provider?: string; capability?: string }) => {\n    const autoModel = new AutoModelSelector();\n    let models = autoModel.listModels();\n\n    if (options.provider) {\n      models = models.filter((m) => m.provider === options.provider);\n    }\n\n    if (options.capability) {\n      models = models.filter((m) => m.capabilities[options.capability as keyof typeof m.capabilities]);\n    }\n\n    console.log(\"\\nAvailable Models:\\n\");\n    for (const model of models) {\n      const tags = model.tags.join(\", \");\n      console.log(`  ${model.id}`);\n      console.log(`    Name: ${model.name}`);\n      console.log(`    Provider: ${model.provider}`);\n      console.log(`    Context: ${model.contextWindow / 1000}k tokens`);\n      console.log(`    Tags: ${tags}`);\n      console.log(\"\");\n    }\n  });\n\nprogram\n  .command(\"providers\")\n  .description(\"List available providers and their status\")\n  .action(() => {\n    const provider = new LLMProviderManager();\n    const providers = provider.getAvailableProviders();\n\n    console.log(\"\\nAvailable Providers:\\n\");\n    for (const p of providers) {\n      const configured = provider.isProviderConfigured(p);\n      console.log(`  ${p}: ${configured ? \"Configured\" : \"Not configured\"}`);\n    }\n  });\n\nprogram\n  .command(\"select\")\n  .description(\"Auto-select a model for a task\")\n  .argument(\"<prompt>\", \"Task description\")\n  .action((prompt: string) => {\n    const autoModel = new AutoModelSelector();\n    const taskType = autoModel.detectTaskType(prompt);\n    const model = autoModel.selectModel(taskType);\n\n    console.log(`\\nTask type: ${taskType}`);\n    console.log(`Selected model: ${model.name} (${model.id})`);\n    console.log(`Provider: ${model.provider}`);\n    console.log(`Context window: ${model.contextWindow / 1000}k tokens`);\n  });\n\nprogram\n  .command(\"tools\")\n  .description(\"List available tools\")\n  .action(() => {\n    const tools = new ToolRegistry();\n    const toolList = tools.list();\n\n    console.log(\"\\nAvailable Tools:\\n\");\n    for (const tool of toolList) {\n      console.log(`  ${tool.name}`);\n      console.log(`    ${tool.description}`);\n      console.log(\"\");\n    }\n  });\n\nprogram\n  .command(\"agents\")\n  .description(\"List available agents\")\n  .action(() => {\n    console.log(\"\\nAvailable Agents:\\n\");\n    for (const agent of defaultAgents) {\n      console.log(`  ${agent.id}`);\n      console.log(`    Name: ${agent.name}`);\n      console.log(`    ${agent.description}`);\n      console.log(`    Model: ${agent.model}`);\n      console.log(\"\");\n    }\n  });\n\nprogram\n  .command(\"open <url>\")\n  .description(\"Open a URL in the default web browser\")\n  .action((url: string) => {\n    if (!url.startsWith(\"http://\") && !url.startsWith(\"https://\")) {\n      url = \"https://\" + url;\n    }\n\n    try {\n      let command: string;\n      const platform = process.platform;\n\n      if (platform === \"darwin\") {\n        command = `open \"${url}\"`;\n      } else if (platform === \"win32\") {\n        command = `start \"\" \"${url}\"`;\n      } else {\n        command = `xdg-open \"${url}\" 2>/dev/null || sensible-browser \"${url}\" 2>/dev/null`;\n      }\n\n      execSync(command, { stdio: \"ignore\" });\n      console.log(`\\nOpened ${url} in browser\\n`);\n    } catch (error: any) {\n      console.log(`\\nCould not open browser automatically.`);\n      console.log(`Please open this URL manually: ${url}\\n`);\n    }\n  });\n\nprogram\n  .command(\"fetch <url>\")\n  .description(\"Fetch content from a URL\")\n  .option(\"-m, --method <method>\", \"HTTP method\", \"GET\")\n  .option(\"-d, --data <data>\", \"Request body for POST/PUT\")\n  .action(async (url: string, options: { method?: string; data?: string }) => {\n    const method = options.method || \"GET\";\n\n    console.log(`\\nFetching ${url} (${method})...\\n`);\n\n    try {\n      const response = await fetch(url, {\n        method,\n        headers: {\n          \"User-Agent\": \"BraveCode-AI/1.0\",\n        },\n        body: options.data,\n      });\n\n      const contentType = response.headers.get(\"content-type\") || \"\";\n      let content: string;\n\n      if (contentType.includes(\"application/json\")) {\n        const json = await response.json();\n        content = JSON.stringify(json, null, 2);\n      } else {\n        content = await response.text();\n      }\n\n      console.log(`Status: ${response.status} ${response.statusText}`);\n      console.log(`Content-Type: ${contentType}\\n`);\n\n      const truncated = content.length > 2000 ? content.substring(0, 2000) + \"\\n\\n... (truncated)\" : content;\n      console.log(truncated);\n    } catch (error: any) {\n      console.log(`Error: ${error.message}`);\n    }\n  });\n\nprogram\n  .command(\"init\")\n  .description(\"Initialize BraveCode in current directory (creates AGENTS.md)\")\n  .action(() => {\n    const config = getConfig();\n    const agensMd = join(process.cwd(), \"AGENTS.md\");\n\n    if (existsSync(agensMd)) {\n      console.log(\"AGENTS.md already exists. Use --force to overwrite.\");\n      return;\n    }\n\n    const content = `# BraveCode AI - Agent Configuration\n\n## Project Instructions\n\n### Build System\n- Run \\`npm run build\\` to compile\n- Run \\`npm test\\` to test\n\n### Code Style\n- Use TypeScript with strict mode\n- Follow existing code patterns\n- Add JSDoc comments for public APIs\n\n### Important Files\n- \\`src/\\` - Source code\n- \\`package.json\\` - Dependencies and scripts\n\n### Custom Rules\n<!-- Add your project-specific rules here -->\n\n## Agents\n\n### Build Agent\n- Full access to development tools\n- Use for: code changes, file editing, command execution\n\n### Plan Agent\n- Read-only analysis\n- Use for: architecture decisions, code review\n\n### Debug Agent\n- Specialized in troubleshooting\n- Use for: bug fixes, error investigation\n\n### Testing Agent\n- Test writing and execution\n- Use for: test coverage, test maintenance\n\n### Security Agent\n- Security auditing\n- Use for: vulnerability assessment, security fixes\n`;\n\n    writeFileSync(agensMd, content);\n    console.log(\"Created AGENTS.md\");\n    console.log(\"Customize it with your project-specific instructions.\");\n\n    const configPath = join(process.cwd(), \".bravecode\", \"config.json\");\n    if (!existsSync(join(process.cwd(), \".bravecode\"))) {\n      console.log(\"Config directory created at .bravecode/\");\n    }\n  });\n\nprogram\n  .command(\"config\")\n  .description(\"View or set configuration\")\n  .argument(\"[key]\", \"Config key (e.g., model.default)\")\n  .argument(\"[value]\", \"Value to set\")\n  .action((key?: string, value?: string) => {\n    const config = getConfig();\n\n    if (!key) {\n      const current = config.get();\n      console.log(\"Current configuration:\\n\");\n      console.log(JSON.stringify(current, null, 2));\n      return;\n    }\n\n    if (!value) {\n      const val = config.getNested(key);\n      console.log(`${key}: ${JSON.stringify(val, null, 2)}`);\n      return;\n    }\n\n    try {\n      const parsed = JSON.parse(value);\n      config.setNested(key, parsed);\n    } catch {\n      config.setNested(key, value);\n    }\n\n    console.log(`Set ${key} = ${value}`);\n  });\n\nprogram\n  .command(\"mcp\")\n  .description(\"Manage MCP servers\")\n  .argument(\"[action]\", \"Action: list, add, remove\")\n  .argument(\"[args...]\", \"Additional arguments\")\n  .action(async (action?: string, args?: string[]) => {\n    if (!action || action === \"list\") {\n      const config = getConfig();\n      const mcpServers = config.getNested<any[]>(\"mcp.servers\") || [];\n      console.log(\"MCP Servers:\\n\");\n      if (mcpServers.length === 0) {\n        console.log(\"  No MCP servers configured.\");\n      } else {\n        for (const server of mcpServers) {\n          console.log(`  ${server.id}: ${server.name}`);\n          console.log(`    Command: ${server.command}`);\n          console.log(`    Enabled: ${server.enabled}`);\n        }\n      }\n      return;\n    }\n\n    if (action === \"add\" && args && args.length >= 2) {\n      const config = getConfig();\n      const servers = config.getNested<any[]>(\"mcp.servers\") || [];\n      const newServer = {\n        id: args[0],\n        name: args[1],\n        command: args[2] || args[0],\n        args: args.slice(3),\n        enabled: true,\n      };\n      servers.push(newServer);\n      config.setNested(\"mcp.servers\", servers);\n      console.log(`Added MCP server: ${newServer.id}`);\n      return;\n    }\n\n    if (action === \"remove\" && args && args.length > 0) {\n      const config = getConfig();\n      const servers = config.getNested<any[]>(\"mcp.servers\") || [];\n      const filtered = servers.filter((s: any) => s.id !== args[0]);\n      config.setNested(\"mcp.servers\", filtered);\n      console.log(`Removed MCP server: ${args[0]}`);\n      return;\n    }\n\n    console.log(\"Usage: bravecode mcp [list|add|remove] [args...]\");\n  });\n\nprogram\n  .command(\"plugins\")\n  .description(\"List available plugins\")\n  .action(async () => {\n    const { PluginManager } = await import(\"./core/plugin/index\");\n    const manager = new PluginManager();\n    await manager.loadPlugins();\n\n    const plugins = manager.getAllPlugins();\n    console.log(\"Plugins:\\n\");\n    if (plugins.length === 0) {\n      console.log(\"  No plugins loaded.\");\n    } else {\n      for (const plugin of plugins) {\n        console.log(`  ${plugin.config.name} v${plugin.config.version}`);\n        console.log(`    ${plugin.config.description}`);\n        if (plugin.config.author) {\n          console.log(`    Author: ${plugin.config.author}`);\n        }\n      }\n    }\n  });\n\nprogram\n  .command(\"share\")\n  .description(\"Share a conversation via URL\")\n  .argument(\"[action]\", \"Action: create, list, delete\")\n  .argument(\"[args...]\", \"Additional arguments\")\n  .action(async (action?: string, args?: string[]) => {\n    const shareManager = new ShareManager();\n\n    if (!action || action === \"list\") {\n      const shares = shareManager.listShares();\n      console.log(\"Shared Conversations:\\n\");\n      if (shares.length === 0) {\n        console.log(\"  No shared conversations.\");\n      } else {\n        for (const share of shares) {\n          console.log(`  ${share.id}: ${share.title}`);\n          console.log(`    Created: ${new Date(share.createdAt).toLocaleString()}`);\n          console.log(`    URL: ${shareManager.getShareUrl(share.id)}`);\n        }\n      }\n      return;\n    }\n\n    if (action === \"create\" && args && args.length >= 2) {\n      const title = args[0];\n      const content = args.slice(1).join(\" \");\n\n      const messages = [\n        { role: \"user\" as const, content, timestamp: new Date() },\n      ];\n\n      const share = shareManager.createShare(title, messages);\n      console.log(`Created share: ${share.id}`);\n      console.log(`URL: ${shareManager.getShareUrl(share.id)}`);\n      return;\n    }\n\n    if (action === \"delete\" && args && args.length > 0) {\n      if (shareManager.deleteShare(args[0])) {\n        console.log(`Deleted share: ${args[0]}`);\n      } else {\n        console.log(`Share not found: ${args[0]}`);\n      }\n      return;\n    }\n\n    console.log(\"Usage: bravecode share [list|create|delete] [args...]\");\n  });\n\nprogram\n  .command(\"update\")\n  .description(\"Check for and install updates\")\n  .option(\"--check\", \"Check for updates only\")\n  .action(async (options: { check?: boolean }) => {\n    const updateChecker = new UpdateChecker();\n\n    console.log(\"Checking for updates...\\n\");\n\n    const info = await updateChecker.checkForUpdates(true);\n\n    console.log(`Current version: ${info.currentVersion}`);\n    console.log(`Latest version:  ${info.latestVersion}`);\n\n    if (info.updateAvailable) {\n      console.log(\"\\n\u2713 Update available!\\n\");\n\n      if (options.check) {\n        console.log(\"Run 'bravecode update' to install.\");\n        return;\n      }\n\n      const result = await updateChecker.update();\n      if (result.success) {\n        console.log(result.message);\n      } else {\n        console.log(`Error: ${result.message}`);\n      }\n    } else {\n      console.log(\"\\n\u2713 You're up to date!\");\n    }\n  });\n\nprogram.parse();\n", "// Runtime guard: OpenTUI requires Bun's FFI (bun:ffi) for native rendering.\n// If launched under Node.js, automatically re-exec with Bun so the TUI works.\nconst isBun = typeof process !== \"undefined\" &&\n  typeof process.versions === \"object\" &&\n  process.versions !== null &&\n  typeof (process.versions as any).bun === \"string\";\n\nif (!isBun) {\n  // We're running under Node.js \u2014 try to find bun and re-exec.\n  const { execFileSync, execSync } = await import(\"child_process\");\n  let bunPath: string | null = null;\n  try {\n    bunPath = execSync(\"which bun\", { encoding: \"utf-8\" }).trim();\n  } catch {\n    // bun not on PATH\n  }\n\n  if (bunPath) {\n    // Re-exec ourselves under bun. The CJS wrapper (cli.cjs) already has the\n    // polyfill baked in, and bun handles ESM imports natively.\n    try {\n      const argv = process.argv.slice(1); // drop 'node' and script path\n      execFileSync(bunPath, argv, { stdio: \"inherit\" });\n      process.exit(0);\n    } catch {\n      // If re-exec fails, fall through and let the ESM bundle load.\n      // The user will see the OpenTUI error below if it can't work.\n    }\n  }\n\n  // If we get here, bun is not available. Print a clear message and exit.\n  console.error(\n    \"\\n  \\u2717 BraveCode TUI requires Bun runtime (https://bun.sh).\\n\" +\n    \"    Install Bun: curl -fsSL https://bun.sh/install | bash\\n\" +\n    \"    Or run: bun dist/cli.cjs\\n\"\n  );\n  process.exit(1);\n}\n\n// Polyfill browser-global `self` that react-devtools-core (pulled in by ink / React\n// renderers) references at module evaluation time. 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"_f", "_g", "_h", "totalUsage", "toolCall", "resolve", "part", "validateTypes", "promise", "result", "originalGenerateId", "originalGenerateCallId", "sum", "isOutputChunk", "transform", "text", "marker", "symbol", "array", "json", "toolMetadataSchema", "providerReferenceSchema", "defaultDownload", "init_dist", "DownloadError", "boolean", "_enum", "_null", "number", "string", "isBuffer", "__export", "jsonSchema", "TypeValidationError", "createIdGenerator", "filterNullable", "UnsupportedFunctionalityError", "lazySchema", "zodSchema", "_a", "_b", "text", "prepareTools", "tool", "UnsupportedFunctionalityError", "options", "VERSION", "init_dist", "z", "config", "choice", "generateId", "WORKFLOW_SERIALIZE", "serializeModelOptions", "WORKFLOW_DESERIALIZE", "parseProviderOptions", "postJsonToApi", "combineHeaders", "createJsonResponseHandler", "InvalidArgumentError", "_a", "_b", "text", "prepareTools", "tool", "UnsupportedFunctionalityError", "createNullLanguageModelUsage", "mapOpenAICompatibleFinishReason", "file", "convertBase64ToUint8Array", "options", "VERSION", "path", "url", "init_dist", "z", "config", "choice", "_c", "name", "usage", "createJsonErrorResponseHandler", "WORKFLOW_SERIALIZE", "serializeModelOptions", "WORKFLOW_DESERIALIZE", "parseProviderOptions", "postJsonToApi", "combineHeaders", "createJsonResponseHandler", "createLanguageModelResponseMetadata", "createEventSourceResponseHandler", "response", "responseHeaders", "tag", "json", "name", "init_dist", "text", "block", "path", "text2", "config", "error", "parser", "resolve", "error", "resolve", "error", "readFileSync", "path", "error", "execSync", "url", "error", "json", "html", "match", "text", "error", "error", "existsSync", "logError", "IS_TUI", "config", "error", "resolve", "existsSync", "readFileSync", "readdirSync", "join", "config", "name", "tool", "config", "name", "error", "init_esm", "options", "z", "init_esm", "s", "s", "s", "options", "_a", "i", "acc", "ext", "map", "start", "final", "s", "qmark", "star", "filter", "regExpEscape", "init_esm", "options", "ext", "def", "s", "list", "set", "other", "file", "partial", "i", "init_esm", "existsSync", "mkdirSync", "writeFileSync", "readFileSync", "join", "options", "error", "status", "diffStat", "changedFiles", "commitHash", "file", "s", "IS_TUI", "config", "text", "nextId", "existsSync", "readFileSync", "writeFileSync", "mkdirSync", "join", "config", "path", "readFileSync", "writeFileSync", "existsSync", "mkdirSync", "readdirSync", "join", "homedir", "options", "file", "execSync", "readFileSync", "writeFileSync", "existsSync", "mkdirSync", "join", "homedir", "now", "error", "React", "React", "name", "escape", "html", "match", "link", "lexer", "text", "options", "list", "tag", "parser", "tokens", "ext", "args", "ret", "walkTokens", "parse", "src", "React", "colors", "inline", "filter", "items", "name", "text", "sep", "React", "existsSync", "dirname", "join", "url", "options", "resolve", "existsSync", "writeFileSync", "execSync", "join", "TUILauncher", "program", "options", "tool", "url", "error", "json", "config", "s", "PluginManager", "execFileSync", "execSync"]
}