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See CONTRIBUTING.md for details.\nexport function isAbortError(err) {\n return (typeof err === 'object' &&\n err !== null &&\n // Spec-compliant fetch implementations\n (('name' in err && err.name === 'AbortError') ||\n // Expo fetch\n ('message' in err && String(err.message).includes('FetchRequestCanceledException'))));\n}\nexport const castToError = (err) => {\n if (err instanceof Error)\n return err;\n if (typeof err === 'object' && err !== null) {\n try {\n if (Object.prototype.toString.call(err) === '[object Error]') {\n // @ts-ignore - not all envs have native support for cause yet\n const error = new Error(err.message, err.cause ? { cause: err.cause } : {});\n if (err.stack)\n error.stack = err.stack;\n // @ts-ignore - not all envs have native support for cause yet\n if (err.cause && !error.cause)\n error.cause = err.cause;\n if (err.name)\n error.name = err.name;\n return error;\n }\n }\n catch { }\n try {\n return new Error(JSON.stringify(err));\n }\n catch { }\n }\n return new Error(err);\n};\n//# sourceMappingURL=errors.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { castToError } from \"../internal/errors.mjs\";\nexport class OpenAIError extends Error {\n}\nexport class APIError extends OpenAIError {\n constructor(status, error, message, headers) {\n super(`${APIError.makeMessage(status, error, message)}`);\n this.status = status;\n this.headers = headers;\n this.requestID = headers?.get('x-request-id');\n this.error = error;\n const data = error;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n static makeMessage(status, error, message) {\n const msg = error?.message ?\n typeof error.message === 'string' ?\n error.message\n : JSON.stringify(error.message)\n : error ? 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See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\n// https://url.spec.whatwg.org/#url-scheme-string\nconst startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i;\nexport const isAbsoluteURL = (url) => {\n return startsWithSchemeRegexp.test(url);\n};\nexport let isArray = (val) => ((isArray = Array.isArray), isArray(val));\nexport let isReadonlyArray = isArray;\n/** Returns an object if the given value isn't an object, otherwise returns as-is */\nexport function maybeObj(x) {\n if (typeof x !== 'object') {\n return {};\n }\n return x ?? {};\n}\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj) {\n if (!obj)\n return true;\n for (const _k in obj)\n return false;\n return true;\n}\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj, key) {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\nexport function isObj(obj) {\n return obj != null && typeof obj === 'object' && !Array.isArray(obj);\n}\nexport const ensurePresent = (value) => {\n if (value == null) {\n throw new OpenAIError(`Expected a value to be given but received ${value} instead.`);\n }\n return value;\n};\nexport const validatePositiveInteger = (name, n) => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new OpenAIError(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new OpenAIError(`${name} must be a positive integer`);\n }\n return n;\n};\nexport const coerceInteger = (value) => {\n if (typeof value === 'number')\n return Math.round(value);\n if (typeof value === 'string')\n return parseInt(value, 10);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceFloat = (value) => {\n if (typeof value === 'number')\n return value;\n if (typeof value === 'string')\n return parseFloat(value);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceBoolean = (value) => {\n if (typeof value === 'boolean')\n return value;\n if (typeof value === 'string')\n return value === 'true';\n return Boolean(value);\n};\nexport const maybeCoerceInteger = (value) => {\n if (value === undefined) {\n return undefined;\n }\n return coerceInteger(value);\n};\nexport const maybeCoerceFloat = (value) => {\n if (value === undefined) {\n return undefined;\n }\n return coerceFloat(value);\n};\nexport const maybeCoerceBoolean = (value) => {\n if (value === undefined) {\n return undefined;\n }\n return coerceBoolean(value);\n};\nexport const safeJSON = (text) => {\n try {\n return JSON.parse(text);\n }\n catch (err) {\n return undefined;\n }\n};\n//# sourceMappingURL=values.mjs.map","// File generated from our OpenAPI spec by Stainless. 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See CONTRIBUTING.md for details.\nimport { VERSION } from \"../version.mjs\";\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined');\n};\n/**\n * Note this does not detect 'browser'; for that, use getBrowserInfo().\n */\nfunction getDetectedPlatform() {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return 'deno';\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return 'edge';\n }\n if (Object.prototype.toString.call(typeof globalThis.process !== 'undefined' ? globalThis.process : 0) === '[object process]') {\n return 'node';\n }\n return 'unknown';\n}\nconst getPlatformProperties = () => {\n const detectedPlatform = getDetectedPlatform();\n if (detectedPlatform === 'deno') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': globalThis.process.version,\n };\n }\n // Check if Node.js\n if (detectedPlatform === 'node') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(globalThis.process.platform ?? 'unknown'),\n 'X-Stainless-Arch': normalizeArch(globalThis.process.arch ?? 'unknown'),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': globalThis.process.version ?? 'unknown',\n };\n }\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo() {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge', pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome', pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox', pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari', pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n return null;\n}\nconst normalizeArch = (arch) => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32')\n return 'x32';\n if (arch === 'x86_64' || arch === 'x64')\n return 'x64';\n if (arch === 'arm')\n return 'arm';\n if (arch === 'aarch64' || arch === 'arm64')\n return 'arm64';\n if (arch)\n return `other:${arch}`;\n return 'unknown';\n};\nconst normalizePlatform = (platform) => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n platform = platform.toLowerCase();\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios'))\n return 'iOS';\n if (platform === 'android')\n return 'Android';\n if (platform === 'darwin')\n return 'MacOS';\n if (platform === 'win32')\n return 'Windows';\n if (platform === 'freebsd')\n return 'FreeBSD';\n if (platform === 'openbsd')\n return 'OpenBSD';\n if (platform === 'linux')\n return 'Linux';\n if (platform)\n return `Other:${platform}`;\n return 'Unknown';\n};\nlet _platformHeaders;\nexport const getPlatformHeaders = () => {\n return (_platformHeaders ?? (_platformHeaders = getPlatformProperties()));\n};\n//# sourceMappingURL=detect-platform.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function getDefaultFetch() {\n if (typeof fetch !== 'undefined') {\n return fetch;\n }\n throw new Error('`fetch` is not defined as a global; Either pass `fetch` to the client, `new OpenAI({ fetch })` or polyfill the global, `globalThis.fetch = fetch`');\n}\nexport function makeReadableStream(...args) {\n const ReadableStream = globalThis.ReadableStream;\n if (typeof ReadableStream === 'undefined') {\n // Note: All of the platforms / runtimes we officially support already define\n // `ReadableStream` as a global, so this should only ever be hit on unsupported runtimes.\n throw new Error('`ReadableStream` is not defined as a global; You will need to polyfill it, `globalThis.ReadableStream = ReadableStream`');\n }\n return new ReadableStream(...args);\n}\nexport function ReadableStreamFrom(iterable) {\n let iter = Symbol.asyncIterator in iterable ? iterable[Symbol.asyncIterator]() : iterable[Symbol.iterator]();\n return makeReadableStream({\n start() { },\n async pull(controller) {\n const { done, value } = await iter.next();\n if (done) {\n controller.close();\n }\n else {\n controller.enqueue(value);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n}\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nexport function ReadableStreamToAsyncIterable(stream) {\n if (stream[Symbol.asyncIterator])\n return stream;\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done)\n reader.releaseLock(); // release lock when stream becomes closed\n return result;\n }\n catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n/**\n * Cancels a ReadableStream we don't need to consume.\n * See https://undici.nodejs.org/#/?id=garbage-collection\n */\nexport async function CancelReadableStream(stream) {\n if (stream === null || typeof stream !== 'object')\n return;\n if (stream[Symbol.asyncIterator]) {\n await stream[Symbol.asyncIterator]().return?.();\n return;\n }\n const reader = stream.getReader();\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n}\n//# sourceMappingURL=shims.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const FallbackEncoder = ({ headers, body }) => {\n return {\n bodyHeaders: {\n 'content-type': 'application/json',\n },\n body: JSON.stringify(body),\n };\n};\n//# sourceMappingURL=request-options.mjs.map","export const default_format = 'RFC3986';\nexport const default_formatter = (v) => String(v);\nexport const formatters = {\n RFC1738: (v) => String(v).replace(/%20/g, '+'),\n RFC3986: default_formatter,\n};\nexport const RFC1738 = 'RFC1738';\nexport const RFC3986 = 'RFC3986';\n//# sourceMappingURL=formats.mjs.map","import { RFC1738 } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nexport let has = (obj, key) => ((has = Object.hasOwn ?? Function.prototype.call.bind(Object.prototype.hasOwnProperty)),\n has(obj, key));\nconst hex_table = /* @__PURE__ */ (() => {\n const array = [];\n for (let i = 0; i < 256; ++i) {\n array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n }\n return array;\n})();\nfunction compact_queue(queue) {\n while (queue.length > 1) {\n const item = queue.pop();\n if (!item)\n continue;\n const obj = item.obj[item.prop];\n if (isArray(obj)) {\n const compacted = [];\n for (let j = 0; j < obj.length; ++j) {\n if (typeof obj[j] !== 'undefined') {\n compacted.push(obj[j]);\n }\n }\n // @ts-ignore\n item.obj[item.prop] = compacted;\n }\n }\n}\nfunction array_to_object(source, options) {\n const obj = options && options.plainObjects ? Object.create(null) : {};\n for (let i = 0; i < source.length; ++i) {\n if (typeof source[i] !== 'undefined') {\n obj[i] = source[i];\n }\n }\n return obj;\n}\nexport function merge(target, source, options = {}) {\n if (!source) {\n return target;\n }\n if (typeof source !== 'object') {\n if (isArray(target)) {\n target.push(source);\n }\n else if (target && typeof target === 'object') {\n if ((options && (options.plainObjects || options.allowPrototypes)) || !has(Object.prototype, source)) {\n target[source] = true;\n }\n }\n else {\n return [target, source];\n }\n return target;\n }\n if (!target || typeof target !== 'object') {\n return [target].concat(source);\n }\n let mergeTarget = target;\n if (isArray(target) && !isArray(source)) {\n // @ts-ignore\n mergeTarget = array_to_object(target, options);\n }\n if (isArray(target) && isArray(source)) {\n source.forEach(function (item, i) {\n if (has(target, i)) {\n const targetItem = target[i];\n if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n target[i] = merge(targetItem, item, options);\n }\n else {\n target.push(item);\n }\n }\n else {\n target[i] = item;\n }\n });\n return target;\n }\n return Object.keys(source).reduce(function (acc, key) {\n const value = source[key];\n if (has(acc, key)) {\n acc[key] = merge(acc[key], value, options);\n }\n else {\n acc[key] = value;\n }\n return acc;\n }, mergeTarget);\n}\nexport function assign_single_source(target, source) {\n return Object.keys(source).reduce(function (acc, key) {\n acc[key] = source[key];\n return acc;\n }, target);\n}\nexport function decode(str, _, charset) {\n const strWithoutPlus = str.replace(/\\+/g, ' ');\n if (charset === 'iso-8859-1') {\n // unescape never throws, no try...catch needed:\n return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n }\n // utf-8\n try {\n return decodeURIComponent(strWithoutPlus);\n }\n catch (e) {\n return strWithoutPlus;\n }\n}\nconst limit = 1024;\nexport const encode = (str, _defaultEncoder, charset, _kind, format) => {\n // This code was originally written by Brian White for the io.js core querystring library.\n // It has been adapted here for stricter adherence to RFC 3986\n if (str.length === 0) {\n return str;\n }\n let string = str;\n if (typeof str === 'symbol') {\n string = Symbol.prototype.toString.call(str);\n }\n else if (typeof str !== 'string') {\n string = String(str);\n }\n if (charset === 'iso-8859-1') {\n return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n });\n }\n let out = '';\n for (let j = 0; j < string.length; j += limit) {\n const segment = string.length >= limit ? string.slice(j, j + limit) : string;\n const arr = [];\n for (let i = 0; i < segment.length; ++i) {\n let c = segment.charCodeAt(i);\n if (c === 0x2d || // -\n c === 0x2e || // .\n c === 0x5f || // _\n c === 0x7e || // ~\n (c >= 0x30 && c <= 0x39) || // 0-9\n (c >= 0x41 && c <= 0x5a) || // a-z\n (c >= 0x61 && c <= 0x7a) || // A-Z\n (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n ) {\n arr[arr.length] = segment.charAt(i);\n continue;\n }\n if (c < 0x80) {\n arr[arr.length] = hex_table[c];\n continue;\n }\n if (c < 0x800) {\n arr[arr.length] = hex_table[0xc0 | (c >> 6)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n if (c < 0xd800 || c >= 0xe000) {\n arr[arr.length] =\n hex_table[0xe0 | (c >> 12)] + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n i += 1;\n c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff));\n arr[arr.length] =\n hex_table[0xf0 | (c >> 18)] +\n hex_table[0x80 | ((c >> 12) & 0x3f)] +\n hex_table[0x80 | ((c >> 6) & 0x3f)] +\n hex_table[0x80 | (c & 0x3f)];\n }\n out += arr.join('');\n }\n return out;\n};\nexport function compact(value) {\n const queue = [{ obj: { o: value }, prop: 'o' }];\n const refs = [];\n for (let i = 0; i < queue.length; ++i) {\n const item = queue[i];\n // @ts-ignore\n const obj = item.obj[item.prop];\n const keys = Object.keys(obj);\n for (let j = 0; j < keys.length; ++j) {\n const key = keys[j];\n const val = obj[key];\n if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n queue.push({ obj: obj, prop: key });\n refs.push(val);\n }\n }\n }\n compact_queue(queue);\n return value;\n}\nexport function is_regexp(obj) {\n return Object.prototype.toString.call(obj) === '[object RegExp]';\n}\nexport function is_buffer(obj) {\n if (!obj || typeof obj !== 'object') {\n return false;\n }\n return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n}\nexport function combine(a, b) {\n return [].concat(a, b);\n}\nexport function maybe_map(val, fn) {\n if (isArray(val)) {\n const mapped = [];\n for (let i = 0; i < val.length; i += 1) {\n mapped.push(fn(val[i]));\n }\n return mapped;\n }\n return fn(val);\n}\n//# sourceMappingURL=utils.mjs.map","import { encode, is_buffer, maybe_map, has } from \"./utils.mjs\";\nimport { default_format, default_formatter, formatters } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nconst array_prefix_generators = {\n brackets(prefix) {\n return String(prefix) + '[]';\n },\n comma: 'comma',\n indices(prefix, key) {\n return String(prefix) + '[' + key + ']';\n },\n repeat(prefix) {\n return String(prefix);\n },\n};\nconst push_to_array = function (arr, value_or_array) {\n Array.prototype.push.apply(arr, isArray(value_or_array) ? value_or_array : [value_or_array]);\n};\nlet toISOString;\nconst defaults = {\n addQueryPrefix: false,\n allowDots: false,\n allowEmptyArrays: false,\n arrayFormat: 'indices',\n charset: 'utf-8',\n charsetSentinel: false,\n delimiter: '&',\n encode: true,\n encodeDotInKeys: false,\n encoder: encode,\n encodeValuesOnly: false,\n format: default_format,\n formatter: default_formatter,\n /** @deprecated */\n indices: false,\n serializeDate(date) {\n return (toISOString ?? (toISOString = Function.prototype.call.bind(Date.prototype.toISOString)))(date);\n },\n skipNulls: false,\n strictNullHandling: false,\n};\nfunction is_non_nullish_primitive(v) {\n return (typeof v === 'string' ||\n typeof v === 'number' ||\n typeof v === 'boolean' ||\n typeof v === 'symbol' ||\n typeof v === 'bigint');\n}\nconst sentinel = {};\nfunction inner_stringify(object, prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) {\n let obj = object;\n let tmp_sc = sideChannel;\n let step = 0;\n let find_flag = false;\n while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) {\n // Where object last appeared in the ref tree\n const pos = tmp_sc.get(object);\n step += 1;\n if (typeof pos !== 'undefined') {\n if (pos === step) {\n throw new RangeError('Cyclic object value');\n }\n else {\n find_flag = true; // Break while\n }\n }\n if (typeof tmp_sc.get(sentinel) === 'undefined') {\n step = 0;\n }\n }\n if (typeof filter === 'function') {\n obj = filter(prefix, obj);\n }\n else if (obj instanceof Date) {\n obj = serializeDate?.(obj);\n }\n else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n obj = maybe_map(obj, function (value) {\n if (value instanceof Date) {\n return serializeDate?.(value);\n }\n return value;\n });\n }\n if (obj === null) {\n if (strictNullHandling) {\n return encoder && !encodeValuesOnly ?\n // @ts-expect-error\n encoder(prefix, defaults.encoder, charset, 'key', format)\n : prefix;\n }\n obj = '';\n }\n if (is_non_nullish_primitive(obj) || is_buffer(obj)) {\n if (encoder) {\n const key_value = encodeValuesOnly ? prefix\n // @ts-expect-error\n : encoder(prefix, defaults.encoder, charset, 'key', format);\n return [\n formatter?.(key_value) +\n '=' +\n // @ts-expect-error\n formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)),\n ];\n }\n return [formatter?.(prefix) + '=' + formatter?.(String(obj))];\n }\n const values = [];\n if (typeof obj === 'undefined') {\n return values;\n }\n let obj_keys;\n if (generateArrayPrefix === 'comma' && isArray(obj)) {\n // we need to join elements in\n if (encodeValuesOnly && encoder) {\n // @ts-expect-error values only\n obj = maybe_map(obj, encoder);\n }\n obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n }\n else if (isArray(filter)) {\n obj_keys = filter;\n }\n else {\n const keys = Object.keys(obj);\n obj_keys = sort ? keys.sort(sort) : keys;\n }\n const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\\./g, '%2E') : String(prefix);\n const adjusted_prefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix;\n if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n return adjusted_prefix + '[]';\n }\n for (let j = 0; j < obj_keys.length; ++j) {\n const key = obj_keys[j];\n const value = \n // @ts-ignore\n typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n if (skipNulls && value === null) {\n continue;\n }\n // @ts-ignore\n const encoded_key = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n const key_prefix = isArray(obj) ?\n typeof generateArrayPrefix === 'function' ?\n generateArrayPrefix(adjusted_prefix, encoded_key)\n : adjusted_prefix\n : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']');\n sideChannel.set(object, step);\n const valueSideChannel = new WeakMap();\n valueSideChannel.set(sentinel, sideChannel);\n push_to_array(values, inner_stringify(value, key_prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, \n // @ts-ignore\n generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel));\n }\n return values;\n}\nfunction normalize_stringify_options(opts = defaults) {\n if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n }\n if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n }\n if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n throw new TypeError('Encoder has to be a function.');\n }\n const charset = opts.charset || defaults.charset;\n if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n }\n let format = default_format;\n if (typeof opts.format !== 'undefined') {\n if (!has(formatters, opts.format)) {\n throw new TypeError('Unknown format option provided.');\n }\n format = opts.format;\n }\n const formatter = formatters[format];\n let filter = defaults.filter;\n if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n filter = opts.filter;\n }\n let arrayFormat;\n if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) {\n arrayFormat = opts.arrayFormat;\n }\n else if ('indices' in opts) {\n arrayFormat = opts.indices ? 'indices' : 'repeat';\n }\n else {\n arrayFormat = defaults.arrayFormat;\n }\n if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n }\n const allowDots = typeof opts.allowDots === 'undefined' ?\n !!opts.encodeDotInKeys === true ?\n true\n : defaults.allowDots\n : !!opts.allowDots;\n return {\n addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n // @ts-ignore\n allowDots: allowDots,\n allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n arrayFormat: arrayFormat,\n charset: charset,\n charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n commaRoundTrip: !!opts.commaRoundTrip,\n delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n filter: filter,\n format: format,\n formatter: formatter,\n serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n // @ts-ignore\n sort: typeof opts.sort === 'function' ? opts.sort : null,\n strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling,\n };\n}\nexport function stringify(object, opts = {}) {\n let obj = object;\n const options = normalize_stringify_options(opts);\n let obj_keys;\n let filter;\n if (typeof options.filter === 'function') {\n filter = options.filter;\n obj = filter('', obj);\n }\n else if (isArray(options.filter)) {\n filter = options.filter;\n obj_keys = filter;\n }\n const keys = [];\n if (typeof obj !== 'object' || obj === null) {\n return '';\n }\n const generateArrayPrefix = array_prefix_generators[options.arrayFormat];\n const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n if (!obj_keys) {\n obj_keys = Object.keys(obj);\n }\n if (options.sort) {\n obj_keys.sort(options.sort);\n }\n const sideChannel = new WeakMap();\n for (let i = 0; i < obj_keys.length; ++i) {\n const key = obj_keys[i];\n if (options.skipNulls && obj[key] === null) {\n continue;\n }\n push_to_array(keys, inner_stringify(obj[key], key, \n // @ts-expect-error\n generateArrayPrefix, commaRoundTrip, options.allowEmptyArrays, options.strictNullHandling, options.skipNulls, options.encodeDotInKeys, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel));\n }\n const joined = keys.join(options.delimiter);\n let prefix = options.addQueryPrefix === true ? '?' : '';\n if (options.charsetSentinel) {\n if (options.charset === 'iso-8859-1') {\n // encodeURIComponent('✓'), the \"numeric entity\" representation of a checkmark\n prefix += 'utf8=%26%2310003%3B&';\n }\n else {\n // encodeURIComponent('✓')\n prefix += 'utf8=%E2%9C%93&';\n }\n }\n return joined.length > 0 ? prefix + joined : '';\n}\n//# sourceMappingURL=stringify.mjs.map","export function concatBytes(buffers) {\n let length = 0;\n for (const buffer of buffers) {\n length += buffer.length;\n }\n const output = new Uint8Array(length);\n let index = 0;\n for (const buffer of buffers) {\n output.set(buffer, index);\n index += buffer.length;\n }\n return output;\n}\nlet encodeUTF8_;\nexport function encodeUTF8(str) {\n let encoder;\n return (encodeUTF8_ ??\n ((encoder = new globalThis.TextEncoder()), (encodeUTF8_ = encoder.encode.bind(encoder))))(str);\n}\nlet decodeUTF8_;\nexport function decodeUTF8(bytes) {\n let decoder;\n return (decodeUTF8_ ??\n ((decoder = new globalThis.TextDecoder()), (decodeUTF8_ = decoder.decode.bind(decoder))))(bytes);\n}\n//# sourceMappingURL=bytes.mjs.map","var _LineDecoder_buffer, _LineDecoder_carriageReturnIndex;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../tslib.mjs\";\nimport { concatBytes, decodeUTF8, encodeUTF8 } from \"../utils/bytes.mjs\";\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nexport class LineDecoder {\n constructor() {\n _LineDecoder_buffer.set(this, void 0);\n _LineDecoder_carriageReturnIndex.set(this, void 0);\n __classPrivateFieldSet(this, _LineDecoder_buffer, new Uint8Array(), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n decode(chunk) {\n if (chunk == null) {\n return [];\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n __classPrivateFieldSet(this, _LineDecoder_buffer, concatBytes([__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), binaryChunk]), \"f\");\n const lines = [];\n let patternIndex;\n while ((patternIndex = findNewlineIndex(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\"))) != null) {\n if (patternIndex.carriage && __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") == null) {\n // skip until we either get a corresponding `\\n`, a new `\\r` or nothing\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, patternIndex.index, \"f\");\n continue;\n }\n // we got double \\r or \\rtext\\n\n if (__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") != null &&\n (patternIndex.index !== __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") + 1 || patternIndex.carriage)) {\n lines.push(decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") - 1)));\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\")), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n continue;\n }\n const endIndex = __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") !== null ? patternIndex.preceding - 1 : patternIndex.preceding;\n const line = decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, endIndex));\n lines.push(line);\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(patternIndex.index), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n return lines;\n }\n flush() {\n if (!__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").length) {\n return [];\n }\n return this.decode('\\n');\n }\n}\n_LineDecoder_buffer = new WeakMap(), _LineDecoder_carriageReturnIndex = new WeakMap();\n// prettier-ignore\nLineDecoder.NEWLINE_CHARS = new Set(['\\n', '\\r']);\nLineDecoder.NEWLINE_REGEXP = /\\r\\n|[\\n\\r]/g;\n/**\n * This function searches the buffer for the end patterns, (\\r or \\n)\n * and returns an object with the index preceding the matched newline and the\n * index after the newline char. `null` is returned if no new line is found.\n *\n * ```ts\n * findNewLineIndex('abc\\ndef') -> { preceding: 2, index: 3 }\n * ```\n */\nfunction findNewlineIndex(buffer, startIndex) {\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = startIndex ?? 0; i < buffer.length; i++) {\n if (buffer[i] === newline) {\n return { preceding: i, index: i + 1, carriage: false };\n }\n if (buffer[i] === carriage) {\n return { preceding: i, index: i + 1, carriage: true };\n }\n }\n return null;\n}\nexport function findDoubleNewlineIndex(buffer) {\n // This function searches the buffer for the end patterns (\\r\\r, \\n\\n, \\r\\n\\r\\n)\n // and returns the index right after the first occurrence of any pattern,\n // or -1 if none of the patterns are found.\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = 0; i < buffer.length - 1; i++) {\n if (buffer[i] === newline && buffer[i + 1] === newline) {\n // \\n\\n\n return i + 2;\n }\n if (buffer[i] === carriage && buffer[i + 1] === carriage) {\n // \\r\\r\n return i + 2;\n }\n if (buffer[i] === carriage &&\n buffer[i + 1] === newline &&\n i + 3 < buffer.length &&\n buffer[i + 2] === carriage &&\n buffer[i + 3] === newline) {\n // \\r\\n\\r\\n\n return i + 4;\n }\n }\n return -1;\n}\n//# sourceMappingURL=line.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { hasOwn } from \"./values.mjs\";\nconst levelNumbers = {\n off: 0,\n error: 200,\n warn: 300,\n info: 400,\n debug: 500,\n};\nexport const parseLogLevel = (maybeLevel, sourceName, client) => {\n if (!maybeLevel) {\n return undefined;\n }\n if (hasOwn(levelNumbers, maybeLevel)) {\n return maybeLevel;\n }\n loggerFor(client).warn(`${sourceName} was set to ${JSON.stringify(maybeLevel)}, expected one of ${JSON.stringify(Object.keys(levelNumbers))}`);\n return undefined;\n};\nfunction noop() { }\nfunction makeLogFn(fnLevel, logger, logLevel) {\n if (!logger || levelNumbers[fnLevel] > levelNumbers[logLevel]) {\n return noop;\n }\n else {\n // Don't wrap logger functions, we want the stacktrace intact!\n return logger[fnLevel].bind(logger);\n }\n}\nconst noopLogger = {\n error: noop,\n warn: noop,\n info: noop,\n debug: noop,\n};\nlet cachedLoggers = /* @__PURE__ */ new WeakMap();\nexport function loggerFor(client) {\n const logger = client.logger;\n const logLevel = client.logLevel ?? 'off';\n if (!logger) {\n return noopLogger;\n }\n const cachedLogger = cachedLoggers.get(logger);\n if (cachedLogger && cachedLogger[0] === logLevel) {\n return cachedLogger[1];\n }\n const levelLogger = {\n error: makeLogFn('error', logger, logLevel),\n warn: makeLogFn('warn', logger, logLevel),\n info: makeLogFn('info', logger, logLevel),\n debug: makeLogFn('debug', logger, logLevel),\n };\n cachedLoggers.set(logger, [logLevel, levelLogger]);\n return levelLogger;\n}\nexport const formatRequestDetails = (details) => {\n if (details.options) {\n details.options = { ...details.options };\n delete details.options['headers']; // redundant + leaks internals\n }\n if (details.headers) {\n details.headers = Object.fromEntries((details.headers instanceof Headers ? [...details.headers] : Object.entries(details.headers)).map(([name, value]) => [\n name,\n (name.toLowerCase() === 'authorization' ||\n name.toLowerCase() === 'cookie' ||\n name.toLowerCase() === 'set-cookie') ?\n '***'\n : value,\n ]));\n }\n if ('retryOfRequestLogID' in details) {\n if (details.retryOfRequestLogID) {\n details.retryOf = details.retryOfRequestLogID;\n }\n delete details.retryOfRequestLogID;\n }\n return details;\n};\n//# sourceMappingURL=log.mjs.map","var _Stream_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { makeReadableStream } from \"../internal/shims.mjs\";\nimport { findDoubleNewlineIndex, LineDecoder } from \"../internal/decoders/line.mjs\";\nimport { ReadableStreamToAsyncIterable } from \"../internal/shims.mjs\";\nimport { isAbortError } from \"../internal/errors.mjs\";\nimport { encodeUTF8 } from \"../internal/utils/bytes.mjs\";\nimport { loggerFor } from \"../internal/utils/log.mjs\";\nimport { APIError } from \"./error.mjs\";\nexport class Stream {\n constructor(iterator, controller, client) {\n this.iterator = iterator;\n _Stream_client.set(this, void 0);\n this.controller = controller;\n __classPrivateFieldSet(this, _Stream_client, client, \"f\");\n }\n static fromSSEResponse(response, controller, client) {\n let consumed = false;\n const logger = client ? loggerFor(client) : console;\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const sse of _iterSSEMessages(response, controller)) {\n if (done)\n continue;\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n if (sse.event === null || !sse.event.startsWith('thread.')) {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n logger.error(`Could not parse message into JSON:`, sse.data);\n logger.error(`From chunk:`, sse.raw);\n throw e;\n }\n if (data && data.error) {\n throw new APIError(undefined, data.error, undefined, response.headers);\n }\n yield data;\n }\n else {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n // TODO: Is this where the error should be thrown?\n if (sse.event == 'error') {\n throw new APIError(undefined, data.error, data.message, undefined);\n }\n yield { event: sse.event, data: data };\n }\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n /**\n * Generates a Stream from a newline-separated ReadableStream\n * where each item is a JSON value.\n */\n static fromReadableStream(readableStream, controller, client) {\n let consumed = false;\n async function* iterLines() {\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(readableStream);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n yield line;\n }\n }\n for (const line of lineDecoder.flush()) {\n yield line;\n }\n }\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const line of iterLines()) {\n if (done)\n continue;\n if (line)\n yield JSON.parse(line);\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n [(_Stream_client = new WeakMap(), Symbol.asyncIterator)]() {\n return this.iterator();\n }\n /**\n * Splits the stream into two streams which can be\n * independently read from at different speeds.\n */\n tee() {\n const left = [];\n const right = [];\n const iterator = this.iterator();\n const teeIterator = (queue) => {\n return {\n next: () => {\n if (queue.length === 0) {\n const result = iterator.next();\n left.push(result);\n right.push(result);\n }\n return queue.shift();\n },\n };\n };\n return [\n new Stream(() => teeIterator(left), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n new Stream(() => teeIterator(right), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n ];\n }\n /**\n * Converts this stream to a newline-separated ReadableStream of\n * JSON stringified values in the stream\n * which can be turned back into a Stream with `Stream.fromReadableStream()`.\n */\n toReadableStream() {\n const self = this;\n let iter;\n return makeReadableStream({\n async start() {\n iter = self[Symbol.asyncIterator]();\n },\n async pull(ctrl) {\n try {\n const { value, done } = await iter.next();\n if (done)\n return ctrl.close();\n const bytes = encodeUTF8(JSON.stringify(value) + '\\n');\n ctrl.enqueue(bytes);\n }\n catch (err) {\n ctrl.error(err);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n }\n}\nexport async function* _iterSSEMessages(response, controller) {\n if (!response.body) {\n controller.abort();\n if (typeof globalThis.navigator !== 'undefined' &&\n globalThis.navigator.product === 'ReactNative') {\n throw new OpenAIError(`The default react-native fetch implementation does not support streaming. Please use expo/fetch: https://docs.expo.dev/versions/latest/sdk/expo/#expofetch-api`);\n }\n throw new OpenAIError(`Attempted to iterate over a response with no body`);\n }\n const sseDecoder = new SSEDecoder();\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(response.body);\n for await (const sseChunk of iterSSEChunks(iter)) {\n for (const line of lineDecoder.decode(sseChunk)) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n }\n for (const line of lineDecoder.flush()) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n}\n/**\n * Given an async iterable iterator, iterates over it and yields full\n * SSE chunks, i.e. yields when a double new-line is encountered.\n */\nasync function* iterSSEChunks(iterator) {\n let data = new Uint8Array();\n for await (const chunk of iterator) {\n if (chunk == null) {\n continue;\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n let newData = new Uint8Array(data.length + binaryChunk.length);\n newData.set(data);\n newData.set(binaryChunk, data.length);\n data = newData;\n let patternIndex;\n while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) {\n yield data.slice(0, patternIndex);\n data = data.slice(patternIndex);\n }\n }\n if (data.length > 0) {\n yield data;\n }\n}\nclass SSEDecoder {\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n decode(line) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length)\n return null;\n const sse = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n this.event = null;\n this.data = [];\n this.chunks = [];\n return sse;\n }\n this.chunks.push(line);\n if (line.startsWith(':')) {\n return null;\n }\n let [fieldname, _, value] = partition(line, ':');\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n if (fieldname === 'event') {\n this.event = value;\n }\n else if (fieldname === 'data') {\n this.data.push(value);\n }\n return null;\n }\n}\nfunction partition(str, delimiter) {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n return [str, '', ''];\n}\n//# sourceMappingURL=streaming.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { Stream } from \"../core/streaming.mjs\";\nimport { formatRequestDetails, loggerFor } from \"./utils/log.mjs\";\nexport async function defaultParseResponse(client, props) {\n const { response, requestLogID, retryOfRequestLogID, startTime } = props;\n const body = await (async () => {\n if (props.options.stream) {\n loggerFor(client).debug('response', response.status, response.url, response.headers, response.body);\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n if (props.options.__streamClass) {\n return props.options.__streamClass.fromSSEResponse(response, props.controller, client);\n }\n return Stream.fromSSEResponse(response, props.controller, client);\n }\n // fetch refuses to read the body when the status code is 204.\n if (response.status === 204) {\n return null;\n }\n if (props.options.__binaryResponse) {\n return response;\n }\n const contentType = response.headers.get('content-type');\n const mediaType = contentType?.split(';')[0]?.trim();\n const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json');\n if (isJSON) {\n const json = await response.json();\n return addRequestID(json, response);\n }\n const text = await response.text();\n return text;\n })();\n loggerFor(client).debug(`[${requestLogID}] response parsed`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n body,\n durationMs: Date.now() - startTime,\n }));\n return body;\n}\nexport function addRequestID(value, response) {\n if (!value || typeof value !== 'object' || Array.isArray(value)) {\n return value;\n }\n return Object.defineProperty(value, '_request_id', {\n value: response.headers.get('x-request-id'),\n enumerable: false,\n });\n}\n//# sourceMappingURL=parse.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _APIPromise_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { defaultParseResponse, addRequestID, } from \"../internal/parse.mjs\";\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n constructor(client, responsePromise, parseResponse = defaultParseResponse) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null);\n });\n this.responsePromise = responsePromise;\n this.parseResponse = parseResponse;\n _APIPromise_client.set(this, void 0);\n __classPrivateFieldSet(this, _APIPromise_client, client, \"f\");\n }\n _thenUnwrap(transform) {\n return new APIPromise(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), this.responsePromise, async (client, props) => addRequestID(transform(await this.parseResponse(client, props), props), props.response));\n }\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n asResponse() {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data, the raw `Response` instance and the ID of the request,\n * returned via the X-Request-ID header which is useful for debugging requests and reporting\n * issues to OpenAI.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n async withResponse() {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response, request_id: response.headers.get('x-request-id') };\n }\n parse() {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then((data) => this.parseResponse(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), data));\n }\n return this.parsedPromise;\n }\n then(onfulfilled, onrejected) {\n return this.parse().then(onfulfilled, onrejected);\n }\n catch(onrejected) {\n return this.parse().catch(onrejected);\n }\n finally(onfinally) {\n return this.parse().finally(onfinally);\n }\n}\n_APIPromise_client = new WeakMap();\n//# sourceMappingURL=api-promise.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _AbstractPage_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { defaultParseResponse } from \"../internal/parse.mjs\";\nimport { APIPromise } from \"./api-promise.mjs\";\nimport { maybeObj } from \"../internal/utils/values.mjs\";\nexport class AbstractPage {\n constructor(client, response, body, options) {\n _AbstractPage_client.set(this, void 0);\n __classPrivateFieldSet(this, _AbstractPage_client, client, \"f\");\n this.options = options;\n this.response = response;\n this.body = body;\n }\n hasNextPage() {\n const items = this.getPaginatedItems();\n if (!items.length)\n return false;\n return this.nextPageRequestOptions() != null;\n }\n async getNextPage() {\n const nextOptions = this.nextPageRequestOptions();\n if (!nextOptions) {\n throw new OpenAIError('No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.');\n }\n return await __classPrivateFieldGet(this, _AbstractPage_client, \"f\").requestAPIList(this.constructor, nextOptions);\n }\n async *iterPages() {\n let page = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n async *[(_AbstractPage_client = new WeakMap(), Symbol.asyncIterator)]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise extends APIPromise {\n constructor(client, request, Page) {\n super(client, request, async (client, props) => new Page(client, props.response, await defaultParseResponse(client, props), props.options));\n }\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.object = body.object;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n nextPageRequestOptions() {\n return null;\n }\n}\nexport class CursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const data = this.getPaginatedItems();\n const id = data[data.length - 1]?.id;\n if (!id) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: id,\n },\n };\n }\n}\nexport class ConversationCursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n this.last_id = body.last_id || '';\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const cursor = this.last_id;\n if (!cursor) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: cursor,\n },\n };\n }\n}\n//# sourceMappingURL=pagination.mjs.map","import { ReadableStreamFrom } from \"./shims.mjs\";\nexport const checkFileSupport = () => {\n if (typeof File === 'undefined') {\n const { process } = globalThis;\n const isOldNode = typeof process?.versions?.node === 'string' && parseInt(process.versions.node.split('.')) < 20;\n throw new Error('`File` is not defined as a global, which is required for file uploads.' +\n (isOldNode ?\n \" Update to Node 20 LTS or newer, or set `globalThis.File` to `import('node:buffer').File`.\"\n : ''));\n }\n};\n/**\n * Construct a `File` instance. This is used to ensure a helpful error is thrown\n * for environments that don't define a global `File` yet.\n */\nexport function makeFile(fileBits, fileName, options) {\n checkFileSupport();\n return new File(fileBits, fileName ?? 'unknown_file', options);\n}\nexport function getName(value) {\n return (((typeof value === 'object' &&\n value !== null &&\n (('name' in value && value.name && String(value.name)) ||\n ('url' in value && value.url && String(value.url)) ||\n ('filename' in value && value.filename && String(value.filename)) ||\n ('path' in value && value.path && String(value.path)))) ||\n '')\n .split(/[\\\\/]/)\n .pop() || undefined);\n}\nexport const isAsyncIterable = (value) => value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async (opts, fetch) => {\n if (!hasUploadableValue(opts.body))\n return opts;\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nexport const multipartFormRequestOptions = async (opts, fetch) => {\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nconst supportsFormDataMap = /* @__PURE__ */ new WeakMap();\n/**\n * node-fetch doesn't support the global FormData object in recent node versions. Instead of sending\n * properly-encoded form data, it just stringifies the object, resulting in a request body of \"[object FormData]\".\n * This function detects if the fetch function provided supports the global FormData object to avoid\n * confusing error messages later on.\n */\nfunction supportsFormData(fetchObject) {\n const fetch = typeof fetchObject === 'function' ? fetchObject : fetchObject.fetch;\n const cached = supportsFormDataMap.get(fetch);\n if (cached)\n return cached;\n const promise = (async () => {\n try {\n const FetchResponse = ('Response' in fetch ?\n fetch.Response\n : (await fetch('data:,')).constructor);\n const data = new FormData();\n if (data.toString() === (await new FetchResponse(data).text())) {\n return false;\n }\n return true;\n }\n catch {\n // avoid false negatives\n return true;\n }\n })();\n supportsFormDataMap.set(fetch, promise);\n return promise;\n}\nexport const createForm = async (body, fetch) => {\n if (!(await supportsFormData(fetch))) {\n throw new TypeError('The provided fetch function does not support file uploads with the current global FormData class.');\n }\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n// We check for Blob not File because Bun.File doesn't inherit from File,\n// but they both inherit from Blob and have a `name` property at runtime.\nconst isNamedBlob = (value) => value instanceof Blob && 'name' in value;\nconst isUploadable = (value) => typeof value === 'object' &&\n value !== null &&\n (value instanceof Response || isAsyncIterable(value) || isNamedBlob(value));\nconst hasUploadableValue = (value) => {\n if (isUploadable(value))\n return true;\n if (Array.isArray(value))\n return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue(value[k]))\n return true;\n }\n }\n return false;\n};\nconst addFormValue = async (form, key, value) => {\n if (value === undefined)\n return;\n if (value == null) {\n throw new TypeError(`Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`);\n }\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n }\n else if (value instanceof Response) {\n form.append(key, makeFile([await value.blob()], getName(value)));\n }\n else if (isAsyncIterable(value)) {\n form.append(key, makeFile([await new Response(ReadableStreamFrom(value)).blob()], getName(value)));\n }\n else if (isNamedBlob(value)) {\n form.append(key, value, getName(value));\n }\n else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n }\n else if (typeof value === 'object') {\n await Promise.all(Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)));\n }\n else {\n throw new TypeError(`Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`);\n }\n};\n//# sourceMappingURL=uploads.mjs.map","import { getName, makeFile, isAsyncIterable } from \"./uploads.mjs\";\nimport { checkFileSupport } from \"./uploads.mjs\";\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isBlobLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isFileLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\nconst isResponseLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(value, name, options) {\n checkFileSupport();\n // If it's a promise, resolve it.\n value = await value;\n // If we've been given a `File` we don't need to do anything\n if (isFileLike(value)) {\n if (value instanceof File) {\n return value;\n }\n return makeFile([await value.arrayBuffer()], value.name);\n }\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name || (name = new URL(value.url).pathname.split(/[\\\\/]/).pop());\n return makeFile(await getBytes(blob), name, options);\n }\n const parts = await getBytes(value);\n name || (name = getName(value));\n if (!options?.type) {\n const type = parts.find((part) => typeof part === 'object' && 'type' in part && part.type);\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n return makeFile(parts, name, options);\n}\nasync function getBytes(value) {\n let parts = [];\n if (typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer) {\n parts.push(value);\n }\n else if (isBlobLike(value)) {\n parts.push(value instanceof Blob ? value : await value.arrayBuffer());\n }\n else if (isAsyncIterable(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(...(await getBytes(chunk))); // TODO, consider validating?\n }\n }\n else {\n const constructor = value?.constructor?.name;\n throw new Error(`Unexpected data type: ${typeof value}${constructor ? `; constructor: ${constructor}` : ''}${propsForError(value)}`);\n }\n return parts;\n}\nfunction propsForError(value) {\n if (typeof value !== 'object' || value === null)\n return '';\n const props = Object.getOwnPropertyNames(value);\n return `; props: [${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n//# sourceMappingURL=to-file.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport class APIResource {\n constructor(client) {\n this._client = client;\n }\n}\n//# sourceMappingURL=resource.mjs.map","import { OpenAIError } from \"../../core/error.mjs\";\n/**\n * Percent-encode everything that isn't safe to have in a path without encoding safe chars.\n *\n * Taken from https://datatracker.ietf.org/doc/html/rfc3986#section-3.3:\n * > unreserved = ALPHA / DIGIT / \"-\" / \".\" / \"_\" / \"~\"\n * > sub-delims = \"!\" / \"$\" / \"&\" / \"'\" / \"(\" / \")\" / \"*\" / \"+\" / \",\" / \";\" / \"=\"\n * > pchar = unreserved / pct-encoded / sub-delims / \":\" / \"@\"\n */\nexport function encodeURIPath(str) {\n return str.replace(/[^A-Za-z0-9\\-._~!$&'()*+,;=:@]+/g, encodeURIComponent);\n}\nconst EMPTY = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.create(null));\nexport const createPathTagFunction = (pathEncoder = encodeURIPath) => function path(statics, ...params) {\n // If there are no params, no processing is needed.\n if (statics.length === 1)\n return statics[0];\n let postPath = false;\n const invalidSegments = [];\n const path = statics.reduce((previousValue, currentValue, index) => {\n if (/[?#]/.test(currentValue)) {\n postPath = true;\n }\n const value = params[index];\n let encoded = (postPath ? encodeURIComponent : pathEncoder)('' + value);\n if (index !== params.length &&\n (value == null ||\n (typeof value === 'object' &&\n // handle values from other realms\n value.toString ===\n Object.getPrototypeOf(Object.getPrototypeOf(value.hasOwnProperty ?? EMPTY) ?? EMPTY)\n ?.toString))) {\n encoded = value + '';\n invalidSegments.push({\n start: previousValue.length + currentValue.length,\n length: encoded.length,\n error: `Value of type ${Object.prototype.toString\n .call(value)\n .slice(8, -1)} is not a valid path parameter`,\n });\n }\n return previousValue + currentValue + (index === params.length ? '' : encoded);\n }, '');\n const pathOnly = path.split(/[?#]/, 1)[0];\n const invalidSegmentPattern = /(?<=^|\\/)(?:\\.|%2e){1,2}(?=\\/|$)/gi;\n let match;\n // Find all invalid segments\n while ((match = invalidSegmentPattern.exec(pathOnly)) !== null) {\n invalidSegments.push({\n start: match.index,\n length: match[0].length,\n error: `Value \"${match[0]}\" can\\'t be safely passed as a path parameter`,\n });\n }\n invalidSegments.sort((a, b) => a.start - b.start);\n if (invalidSegments.length > 0) {\n let lastEnd = 0;\n const underline = invalidSegments.reduce((acc, segment) => {\n const spaces = ' '.repeat(segment.start - lastEnd);\n const arrows = '^'.repeat(segment.length);\n lastEnd = segment.start + segment.length;\n return acc + spaces + arrows;\n }, '');\n throw new OpenAIError(`Path parameters result in path with invalid segments:\\n${invalidSegments\n .map((e) => e.error)\n .join('\\n')}\\n${path}\\n${underline}`);\n }\n return path;\n};\n/**\n * URI-encodes path params and ensures no unsafe /./ or /../ path segments are introduced.\n */\nexport const path = /* @__PURE__ */ createPathTagFunction(encodeURIPath);\n//# sourceMappingURL=path.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Messages extends APIResource {\n /**\n * Get the messages in a stored chat completion. Only Chat Completions that have\n * been created with the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(\n * 'completion_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(completionID, query = {}, options) {\n return this._client.getAPIList(path `/chat/completions/${completionID}/messages`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=messages.mjs.map","import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from \"../error.mjs\";\nexport function isChatCompletionFunctionTool(tool) {\n return tool !== undefined && 'function' in tool && tool.function !== undefined;\n}\nexport function makeParseableResponseFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function makeParseableTextFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableResponseFormat(response_format) {\n return response_format?.['$brand'] === 'auto-parseable-response-format';\n}\nexport function makeParseableTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nexport function maybeParseChatCompletion(completion, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...completion,\n choices: completion.choices.map((choice) => {\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n parsed: null,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls,\n }\n : undefined),\n },\n };\n }),\n };\n }\n return parseChatCompletion(completion, params);\n}\nexport function parseChatCompletion(completion, params) {\n const choices = completion.choices.map((choice) => {\n if (choice.finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (choice.finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined,\n }\n : undefined),\n parsed: choice.message.content && !choice.message.refusal ?\n parseResponseFormat(params, choice.message.content)\n : null,\n },\n };\n });\n return { ...completion, choices };\n}\nfunction parseResponseFormat(params, content) {\n if (params.response_format?.type !== 'json_schema') {\n return null;\n }\n if (params.response_format?.type === 'json_schema') {\n if ('$parseRaw' in params.response_format) {\n const response_format = params.response_format;\n return response_format.$parseRaw(content);\n }\n return JSON.parse(content);\n }\n return null;\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name); // TS doesn't narrow based on isChatCompletionTool\n return {\n ...toolCall,\n function: {\n ...toolCall.function,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments)\n : null,\n },\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params || !('tools' in params) || !params.tools) {\n return false;\n }\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name);\n return (isChatCompletionFunctionTool(inputTool) &&\n (isAutoParsableTool(inputTool) || inputTool?.function.strict || false));\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.response_format)) {\n return true;\n }\n return (params.tools?.some((t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true)) ?? false);\n}\nexport function assertToolCallsAreChatCompletionFunctionToolCalls(toolCalls) {\n for (const toolCall of toolCalls || []) {\n if (toolCall.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool calls are supported; Received \\`${toolCall.type}\\``);\n }\n }\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\n//# sourceMappingURL=parser.mjs.map","export const isAssistantMessage = (message) => {\n return message?.role === 'assistant';\n};\nexport const isToolMessage = (message) => {\n return message?.role === 'tool';\n};\nexport function isPresent(obj) {\n return obj != null;\n}\n//# sourceMappingURL=chatCompletionUtils.mjs.map","var _EventStream_instances, _EventStream_connectedPromise, _EventStream_resolveConnectedPromise, _EventStream_rejectConnectedPromise, _EventStream_endPromise, _EventStream_resolveEndPromise, _EventStream_rejectEndPromise, _EventStream_listeners, _EventStream_ended, _EventStream_errored, _EventStream_aborted, _EventStream_catchingPromiseCreated, _EventStream_handleError;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nexport class EventStream {\n constructor() {\n _EventStream_instances.add(this);\n this.controller = new AbortController();\n _EventStream_connectedPromise.set(this, void 0);\n _EventStream_resolveConnectedPromise.set(this, () => { });\n _EventStream_rejectConnectedPromise.set(this, () => { });\n _EventStream_endPromise.set(this, void 0);\n _EventStream_resolveEndPromise.set(this, () => { });\n _EventStream_rejectEndPromise.set(this, () => { });\n _EventStream_listeners.set(this, {});\n _EventStream_ended.set(this, false);\n _EventStream_errored.set(this, false);\n _EventStream_aborted.set(this, false);\n _EventStream_catchingPromiseCreated.set(this, false);\n __classPrivateFieldSet(this, _EventStream_connectedPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveConnectedPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectConnectedPromise, reject, \"f\");\n }), \"f\");\n __classPrivateFieldSet(this, _EventStream_endPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveEndPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectEndPromise, reject, \"f\");\n }), \"f\");\n // Don't let these promises cause unhandled rejection errors.\n // we will manually cause an unhandled rejection error later\n // if the user hasn't registered any error listener or called\n // any promise-returning method.\n __classPrivateFieldGet(this, _EventStream_connectedPromise, \"f\").catch(() => { });\n __classPrivateFieldGet(this, _EventStream_endPromise, \"f\").catch(() => { });\n }\n _run(executor) {\n // Unfortunately if we call `executor()` immediately we get runtime errors about\n // references to `this` before the `super()` constructor call returns.\n setTimeout(() => {\n executor().then(() => {\n this._emitFinal();\n this._emit('end');\n }, __classPrivateFieldGet(this, _EventStream_instances, \"m\", _EventStream_handleError).bind(this));\n }, 0);\n }\n _connected() {\n if (this.ended)\n return;\n __classPrivateFieldGet(this, _EventStream_resolveConnectedPromise, \"f\").call(this);\n this._emit('connect');\n }\n get ended() {\n return __classPrivateFieldGet(this, _EventStream_ended, \"f\");\n }\n get errored() {\n return __classPrivateFieldGet(this, _EventStream_errored, \"f\");\n }\n get aborted() {\n return __classPrivateFieldGet(this, _EventStream_aborted, \"f\");\n }\n abort() {\n this.controller.abort();\n }\n /**\n * Adds the listener function to the end of the listeners array for the event.\n * No checks are made to see if the listener has already been added. Multiple calls passing\n * the same combination of event and listener will result in the listener being added, and\n * called, multiple times.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n on(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener });\n return this;\n }\n /**\n * Removes the specified listener from the listener array for the event.\n * off() will remove, at most, one instance of a listener from the listener array. If any single\n * listener has been added multiple times to the listener array for the specified event, then\n * off() must be called multiple times to remove each instance.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n off(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (!listeners)\n return this;\n const index = listeners.findIndex((l) => l.listener === listener);\n if (index >= 0)\n listeners.splice(index, 1);\n return this;\n }\n /**\n * Adds a one-time listener function for the event. The next time the event is triggered,\n * this listener is removed and then invoked.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n once(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener, once: true });\n return this;\n }\n /**\n * This is similar to `.once()`, but returns a Promise that resolves the next time\n * the event is triggered, instead of calling a listener callback.\n * @returns a Promise that resolves the next time given event is triggered,\n * or rejects if an error is emitted. (If you request the 'error' event,\n * returns a promise that resolves with the error).\n *\n * Example:\n *\n * const message = await stream.emitted('message') // rejects if the stream errors\n */\n emitted(event) {\n return new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n if (event !== 'error')\n this.once('error', reject);\n this.once(event, resolve);\n });\n }\n async done() {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n await __classPrivateFieldGet(this, _EventStream_endPromise, \"f\");\n }\n _emit(event, ...args) {\n // make sure we don't emit any events after end\n if (__classPrivateFieldGet(this, _EventStream_ended, \"f\")) {\n return;\n }\n if (event === 'end') {\n __classPrivateFieldSet(this, _EventStream_ended, true, \"f\");\n __classPrivateFieldGet(this, _EventStream_resolveEndPromise, \"f\").call(this);\n }\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (listeners) {\n __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = listeners.filter((l) => !l.once);\n listeners.forEach(({ listener }) => listener(...args));\n }\n if (event === 'abort') {\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n return;\n }\n if (event === 'error') {\n // NOTE: _emit('error', error) should only be called from #handleError().\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n // Trigger an unhandled rejection if the user hasn't registered any error handlers.\n // If you are seeing stack traces here, make sure to handle errors via either:\n // - runner.on('error', () => ...)\n // - await runner.done()\n // - await runner.finalChatCompletion()\n // - etc.\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n }\n }\n _emitFinal() { }\n}\n_EventStream_connectedPromise = new WeakMap(), _EventStream_resolveConnectedPromise = new WeakMap(), _EventStream_rejectConnectedPromise = new WeakMap(), _EventStream_endPromise = new WeakMap(), _EventStream_resolveEndPromise = new WeakMap(), _EventStream_rejectEndPromise = new WeakMap(), _EventStream_listeners = new WeakMap(), _EventStream_ended = new WeakMap(), _EventStream_errored = new WeakMap(), _EventStream_aborted = new WeakMap(), _EventStream_catchingPromiseCreated = new WeakMap(), _EventStream_instances = new WeakSet(), _EventStream_handleError = function _EventStream_handleError(error) {\n __classPrivateFieldSet(this, _EventStream_errored, true, \"f\");\n if (error instanceof Error && error.name === 'AbortError') {\n error = new APIUserAbortError();\n }\n if (error instanceof APIUserAbortError) {\n __classPrivateFieldSet(this, _EventStream_aborted, true, \"f\");\n return this._emit('abort', error);\n }\n if (error instanceof OpenAIError) {\n return this._emit('error', error);\n }\n if (error instanceof Error) {\n const openAIError = new OpenAIError(error.message);\n // @ts-ignore\n openAIError.cause = error;\n return this._emit('error', openAIError);\n }\n return this._emit('error', new OpenAIError(String(error)));\n};\n//# sourceMappingURL=EventStream.mjs.map","export function isRunnableFunctionWithParse(fn) {\n return typeof fn.parse === 'function';\n}\n/**\n * This is helper class for passing a `function` and `parse` where the `function`\n * argument type matches the `parse` return type.\n */\nexport class ParsingToolFunction {\n constructor(input) {\n this.type = 'function';\n this.function = input;\n }\n}\n//# sourceMappingURL=RunnableFunction.mjs.map","var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableTool, parseChatCompletion } from \"../lib/parser.mjs\";\nimport { isAssistantMessage, isToolMessage } from \"./chatCompletionUtils.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isRunnableFunctionWithParse, } from \"./RunnableFunction.mjs\";\nconst DEFAULT_MAX_CHAT_COMPLETIONS = 10;\nexport class AbstractChatCompletionRunner extends EventStream {\n constructor() {\n super(...arguments);\n _AbstractChatCompletionRunner_instances.add(this);\n this._chatCompletions = [];\n this.messages = [];\n }\n _addChatCompletion(chatCompletion) {\n this._chatCompletions.push(chatCompletion);\n this._emit('chatCompletion', chatCompletion);\n const message = chatCompletion.choices[0]?.message;\n if (message)\n this._addMessage(message);\n return chatCompletion;\n }\n _addMessage(message, emit = true) {\n if (!('content' in message))\n message.content = null;\n this.messages.push(message);\n if (emit) {\n this._emit('message', message);\n if (isToolMessage(message) && message.content) {\n // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.\n this._emit('functionToolCallResult', message.content);\n }\n else if (isAssistantMessage(message) && message.tool_calls) {\n for (const tool_call of message.tool_calls) {\n if (tool_call.type === 'function') {\n this._emit('functionToolCall', tool_call.function);\n }\n }\n }\n }\n }\n /**\n * @returns a promise that resolves with the final ChatCompletion, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletion.\n */\n async finalChatCompletion() {\n await this.done();\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (!completion)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return completion;\n }\n /**\n * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalContent() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n }\n /**\n * @returns a promise that resolves with the the final assistant ChatCompletionMessage response,\n * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalMessage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n }\n /**\n * @returns a promise that resolves with the content of the final FunctionCall, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalFunctionToolCall() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n }\n async finalFunctionToolCallResult() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n }\n async totalUsage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);\n }\n allChatCompletions() {\n return [...this._chatCompletions];\n }\n _emitFinal() {\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (completion)\n this._emit('finalChatCompletion', completion);\n const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n if (finalMessage)\n this._emit('finalMessage', finalMessage);\n const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n if (finalContent)\n this._emit('finalContent', finalContent);\n const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n if (finalFunctionCall)\n this._emit('finalFunctionToolCall', finalFunctionCall);\n const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n if (finalFunctionCallResult != null)\n this._emit('finalFunctionToolCallResult', finalFunctionCallResult);\n if (this._chatCompletions.some((c) => c.usage)) {\n this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));\n }\n }\n async _createChatCompletion(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_validateParams).call(this, params);\n const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });\n this._connected();\n return this._addChatCompletion(parseChatCompletion(chatCompletion, params));\n }\n async _runChatCompletion(client, params, options) {\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n return await this._createChatCompletion(client, params, options);\n }\n async _runTools(client, params, options) {\n const role = 'tool';\n const { tool_choice = 'auto', stream, ...restParams } = params;\n const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;\n const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};\n // TODO(someday): clean this logic up\n const inputTools = params.tools.map((tool) => {\n if (isAutoParsableTool(tool)) {\n if (!tool.$callback) {\n throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');\n }\n return {\n type: 'function',\n function: {\n function: tool.$callback,\n name: tool.function.name,\n description: tool.function.description || '',\n parameters: tool.function.parameters,\n parse: tool.$parseRaw,\n strict: true,\n },\n };\n }\n return tool;\n });\n const functionsByName = {};\n for (const f of inputTools) {\n if (f.type === 'function') {\n functionsByName[f.function.name || f.function.function.name] = f.function;\n }\n }\n const tools = 'tools' in params ?\n inputTools.map((t) => t.type === 'function' ?\n {\n type: 'function',\n function: {\n name: t.function.name || t.function.function.name,\n parameters: t.function.parameters,\n description: t.function.description,\n strict: t.function.strict,\n },\n }\n : t)\n : undefined;\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n for (let i = 0; i < maxChatCompletions; ++i) {\n const chatCompletion = await this._createChatCompletion(client, {\n ...restParams,\n tool_choice,\n tools,\n messages: [...this.messages],\n }, options);\n const message = chatCompletion.choices[0]?.message;\n if (!message) {\n throw new OpenAIError(`missing message in ChatCompletion response`);\n }\n if (!message.tool_calls?.length) {\n return;\n }\n for (const tool_call of message.tool_calls) {\n if (tool_call.type !== 'function')\n continue;\n const tool_call_id = tool_call.id;\n const { name, arguments: args } = tool_call.function;\n const fn = functionsByName[name];\n if (!fn) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)\n .map((name) => JSON.stringify(name))\n .join(', ')}. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n else if (singleFunctionToCall && singleFunctionToCall !== name) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n let parsed;\n try {\n parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;\n }\n catch (error) {\n const content = error instanceof Error ? error.message : String(error);\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n // @ts-expect-error it can't rule out `never` type.\n const rawContent = await fn.function(parsed, this);\n const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);\n this._addMessage({ role, tool_call_id, content });\n if (singleFunctionToCall) {\n return;\n }\n }\n }\n return;\n }\n}\n_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;\n}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {\n let i = this.messages.length;\n while (i-- > 0) {\n const message = this.messages[i];\n if (isAssistantMessage(message)) {\n // TODO: support audio here\n const ret = {\n ...message,\n content: message.content ?? null,\n refusal: message.refusal ?? null,\n };\n return ret;\n }\n }\n throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isAssistantMessage(message) && message?.tool_calls?.length) {\n return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isToolMessage(message) &&\n message.content != null &&\n typeof message.content === 'string' &&\n this.messages.some((x) => x.role === 'assistant' &&\n x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {\n return message.content;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {\n const total = {\n completion_tokens: 0,\n prompt_tokens: 0,\n total_tokens: 0,\n };\n for (const { usage } of this._chatCompletions) {\n if (usage) {\n total.completion_tokens += usage.completion_tokens;\n total.prompt_tokens += usage.prompt_tokens;\n total.total_tokens += usage.total_tokens;\n }\n }\n return total;\n}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {\n if (params.n != null && params.n > 1) {\n throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');\n }\n}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {\n return (typeof rawContent === 'string' ? rawContent\n : rawContent === undefined ? 'undefined'\n : JSON.stringify(rawContent));\n};\n//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map","import { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nimport { isAssistantMessage } from \"./chatCompletionUtils.mjs\";\nexport class ChatCompletionRunner extends AbstractChatCompletionRunner {\n static runTools(client, params, options) {\n const runner = new ChatCompletionRunner();\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n _addMessage(message, emit = true) {\n super._addMessage(message, emit);\n if (isAssistantMessage(message) && message.content) {\n this._emit('content', message.content);\n }\n }\n}\n//# sourceMappingURL=ChatCompletionRunner.mjs.map","const STR = 0b000000001;\nconst NUM = 0b000000010;\nconst ARR = 0b000000100;\nconst OBJ = 0b000001000;\nconst NULL = 0b000010000;\nconst BOOL = 0b000100000;\nconst NAN = 0b001000000;\nconst INFINITY = 0b010000000;\nconst MINUS_INFINITY = 0b100000000;\nconst INF = INFINITY | MINUS_INFINITY;\nconst SPECIAL = NULL | BOOL | INF | NAN;\nconst ATOM = STR | NUM | SPECIAL;\nconst COLLECTION = ARR | OBJ;\nconst ALL = ATOM | COLLECTION;\nconst Allow = {\n STR,\n NUM,\n ARR,\n OBJ,\n NULL,\n BOOL,\n NAN,\n INFINITY,\n MINUS_INFINITY,\n INF,\n SPECIAL,\n ATOM,\n COLLECTION,\n ALL,\n};\n// The JSON string segment was unable to be parsed completely\nclass PartialJSON extends Error {\n}\nclass MalformedJSON extends Error {\n}\n/**\n * Parse incomplete JSON\n * @param {string} jsonString Partial JSON to be parsed\n * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details\n * @returns The parsed JSON\n * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter)\n * @throws {MalformedJSON} If the JSON is malformed\n */\nfunction parseJSON(jsonString, allowPartial = Allow.ALL) {\n if (typeof jsonString !== 'string') {\n throw new TypeError(`expecting str, got ${typeof jsonString}`);\n }\n if (!jsonString.trim()) {\n throw new Error(`${jsonString} is empty`);\n }\n return _parseJSON(jsonString.trim(), allowPartial);\n}\nconst _parseJSON = (jsonString, allow) => {\n const length = jsonString.length;\n let index = 0;\n const markPartialJSON = (msg) => {\n throw new PartialJSON(`${msg} at position ${index}`);\n };\n const throwMalformedError = (msg) => {\n throw new MalformedJSON(`${msg} at position ${index}`);\n };\n const parseAny = () => {\n skipBlank();\n if (index >= length)\n markPartialJSON('Unexpected end of input');\n if (jsonString[index] === '\"')\n return parseStr();\n if (jsonString[index] === '{')\n return parseObj();\n if (jsonString[index] === '[')\n return parseArr();\n if (jsonString.substring(index, index + 4) === 'null' ||\n (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return null;\n }\n if (jsonString.substring(index, index + 4) === 'true' ||\n (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return true;\n }\n if (jsonString.substring(index, index + 5) === 'false' ||\n (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index)))) {\n index += 5;\n return false;\n }\n if (jsonString.substring(index, index + 8) === 'Infinity' ||\n (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index)))) {\n index += 8;\n return Infinity;\n }\n if (jsonString.substring(index, index + 9) === '-Infinity' ||\n (Allow.MINUS_INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n '-Infinity'.startsWith(jsonString.substring(index)))) {\n index += 9;\n return -Infinity;\n }\n if (jsonString.substring(index, index + 3) === 'NaN' ||\n (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index)))) {\n index += 3;\n return NaN;\n }\n return parseNum();\n };\n const parseStr = () => {\n const start = index;\n let escape = false;\n index++; // skip initial quote\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === '\\\\'))) {\n escape = jsonString[index] === '\\\\' ? !escape : false;\n index++;\n }\n if (jsonString.charAt(index) == '\"') {\n try {\n return JSON.parse(jsonString.substring(start, ++index - Number(escape)));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n else if (Allow.STR & allow) {\n try {\n return JSON.parse(jsonString.substring(start, index - Number(escape)) + '\"');\n }\n catch (e) {\n // SyntaxError: Invalid escape sequence\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\\\')) + '\"');\n }\n }\n markPartialJSON('Unterminated string literal');\n };\n const parseObj = () => {\n index++; // skip initial brace\n skipBlank();\n const obj = {};\n try {\n while (jsonString[index] !== '}') {\n skipBlank();\n if (index >= length && Allow.OBJ & allow)\n return obj;\n const key = parseStr();\n skipBlank();\n index++; // skip colon\n try {\n const value = parseAny();\n Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true });\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n throw e;\n }\n skipBlank();\n if (jsonString[index] === ',')\n index++; // skip comma\n }\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n markPartialJSON(\"Expected '}' at end of object\");\n }\n index++; // skip final brace\n return obj;\n };\n const parseArr = () => {\n index++; // skip initial bracket\n const arr = [];\n try {\n while (jsonString[index] !== ']') {\n arr.push(parseAny());\n skipBlank();\n if (jsonString[index] === ',') {\n index++; // skip comma\n }\n }\n }\n catch (e) {\n if (Allow.ARR & allow) {\n return arr;\n }\n markPartialJSON(\"Expected ']' at end of array\");\n }\n index++; // skip final bracket\n return arr;\n };\n const parseNum = () => {\n if (index === 0) {\n if (jsonString === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString);\n }\n catch (e) {\n if (Allow.NUM & allow) {\n try {\n if ('.' === jsonString[jsonString.length - 1])\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.')));\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e')));\n }\n catch (e) { }\n }\n throwMalformedError(String(e));\n }\n }\n const start = index;\n if (jsonString[index] === '-')\n index++;\n while (jsonString[index] && !',]}'.includes(jsonString[index]))\n index++;\n if (index == length && !(Allow.NUM & allow))\n markPartialJSON('Unterminated number literal');\n try {\n return JSON.parse(jsonString.substring(start, index));\n }\n catch (e) {\n if (jsonString.substring(start, index) === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e')));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n };\n const skipBlank = () => {\n while (index < length && ' \\n\\r\\t'.includes(jsonString[index])) {\n index++;\n }\n };\n return parseAny();\n};\n// using this function with malformed JSON is undefined behavior\nconst partialParse = (input) => parseJSON(input, Allow.ALL ^ Allow.NUM);\nexport { partialParse, PartialJSON, MalformedJSON };\n//# sourceMappingURL=parser.mjs.map","var _ChatCompletionStream_instances, _ChatCompletionStream_params, _ChatCompletionStream_choiceEventStates, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_getChoiceEventState, _ChatCompletionStream_addChunk, _ChatCompletionStream_emitToolCallDoneEvent, _ChatCompletionStream_emitContentDoneEvents, _ChatCompletionStream_endRequest, _ChatCompletionStream_getAutoParseableResponseFormat, _ChatCompletionStream_accumulateChatCompletion;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { partialParse } from \"../_vendor/partial-json-parser/parser.mjs\";\nimport { APIUserAbortError, ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError, } from \"../error.mjs\";\nimport { hasAutoParseableInput, isAutoParsableResponseFormat, isAutoParsableTool, isChatCompletionFunctionTool, maybeParseChatCompletion, shouldParseToolCall, } from \"../lib/parser.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nexport class ChatCompletionStream extends AbstractChatCompletionRunner {\n constructor(params) {\n super();\n _ChatCompletionStream_instances.add(this);\n _ChatCompletionStream_params.set(this, void 0);\n _ChatCompletionStream_choiceEventStates.set(this, void 0);\n _ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);\n __classPrivateFieldSet(this, _ChatCompletionStream_params, params, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n }\n get currentChatCompletionSnapshot() {\n return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n }\n /**\n * Intended for use on the frontend, consuming a stream produced with\n * `.toReadableStream()` on the backend.\n *\n * Note that messages sent to the model do not appear in `.on('message')`\n * in this context.\n */\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStream(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static createChatCompletion(client, params, options) {\n const runner = new ChatCompletionStream(params);\n runner._run(() => runner._runChatCompletion(client, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));\n return runner;\n }\n async _createChatCompletion(client, params, options) {\n super._createChatCompletion;\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n const stream = await client.chat.completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const chunk of stream) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n let chatId;\n for await (const chunk of stream) {\n if (chatId && chatId !== chunk.id) {\n // A new request has been made.\n this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n chatId = chunk.id;\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n [(_ChatCompletionStream_params = new WeakMap(), _ChatCompletionStream_choiceEventStates = new WeakMap(), _ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n }, _ChatCompletionStream_getChoiceEventState = function _ChatCompletionStream_getChoiceEventState(choice) {\n let state = __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index];\n if (state) {\n return state;\n }\n state = {\n content_done: false,\n refusal_done: false,\n logprobs_content_done: false,\n logprobs_refusal_done: false,\n done_tool_calls: new Set(),\n current_tool_call_index: null,\n };\n __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index] = state;\n return state;\n }, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {\n if (this.ended)\n return;\n const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);\n this._emit('chunk', chunk, completion);\n for (const choice of chunk.choices) {\n const choiceSnapshot = completion.choices[choice.index];\n if (choice.delta.content != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.content) {\n this._emit('content', choice.delta.content, choiceSnapshot.message.content);\n this._emit('content.delta', {\n delta: choice.delta.content,\n snapshot: choiceSnapshot.message.content,\n parsed: choiceSnapshot.message.parsed,\n });\n }\n if (choice.delta.refusal != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.refusal) {\n this._emit('refusal.delta', {\n delta: choice.delta.refusal,\n snapshot: choiceSnapshot.message.refusal,\n });\n }\n if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.content.delta', {\n content: choice.logprobs?.content,\n snapshot: choiceSnapshot.logprobs?.content ?? [],\n });\n }\n if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.refusal.delta', {\n refusal: choice.logprobs?.refusal,\n snapshot: choiceSnapshot.logprobs?.refusal ?? [],\n });\n }\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.finish_reason) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n for (const toolCall of choice.delta.tool_calls ?? []) {\n if (state.current_tool_call_index !== toolCall.index) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n // new tool call started, the previous one is done\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n state.current_tool_call_index = toolCall.index;\n }\n for (const toolCallDelta of choice.delta.tool_calls ?? []) {\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index];\n if (!toolCallSnapshot?.type) {\n continue;\n }\n if (toolCallSnapshot?.type === 'function') {\n this._emit('tool_calls.function.arguments.delta', {\n name: toolCallSnapshot.function?.name,\n index: toolCallDelta.index,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: toolCallSnapshot.function.parsed_arguments,\n arguments_delta: toolCallDelta.function?.arguments ?? '',\n });\n }\n else {\n assertNever(toolCallSnapshot?.type);\n }\n }\n }\n }, _ChatCompletionStream_emitToolCallDoneEvent = function _ChatCompletionStream_emitToolCallDoneEvent(choiceSnapshot, toolCallIndex) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (state.done_tool_calls.has(toolCallIndex)) {\n // we've already fired the done event\n return;\n }\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex];\n if (!toolCallSnapshot) {\n throw new Error('no tool call snapshot');\n }\n if (!toolCallSnapshot.type) {\n throw new Error('tool call snapshot missing `type`');\n }\n if (toolCallSnapshot.type === 'function') {\n const inputTool = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.tools?.find((tool) => isChatCompletionFunctionTool(tool) && tool.function.name === toolCallSnapshot.function.name); // TS doesn't narrow based on isChatCompletionTool\n this._emit('tool_calls.function.arguments.done', {\n name: toolCallSnapshot.function.name,\n index: toolCallIndex,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)\n : null,\n });\n }\n else {\n assertNever(toolCallSnapshot.type);\n }\n }, _ChatCompletionStream_emitContentDoneEvents = function _ChatCompletionStream_emitContentDoneEvents(choiceSnapshot) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.message.content && !state.content_done) {\n state.content_done = true;\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this);\n this._emit('content.done', {\n content: choiceSnapshot.message.content,\n parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : null,\n });\n }\n if (choiceSnapshot.message.refusal && !state.refusal_done) {\n state.refusal_done = true;\n this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal });\n }\n if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) {\n state.logprobs_content_done = true;\n this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content });\n }\n if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) {\n state.logprobs_refusal_done = true;\n this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal });\n }\n }, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any chunks`);\n }\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n return finalizeChatCompletion(snapshot, __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"));\n }, _ChatCompletionStream_getAutoParseableResponseFormat = function _ChatCompletionStream_getAutoParseableResponseFormat() {\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.response_format;\n if (isAutoParsableResponseFormat(responseFormat)) {\n return responseFormat;\n }\n return null;\n }, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {\n var _a, _b, _c, _d;\n let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n const { choices, ...rest } = chunk;\n if (!snapshot) {\n snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {\n ...rest,\n choices: [],\n }, \"f\");\n }\n else {\n Object.assign(snapshot, rest);\n }\n for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {\n let choice = snapshot.choices[index];\n if (!choice) {\n choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };\n }\n if (logprobs) {\n if (!choice.logprobs) {\n choice.logprobs = Object.assign({}, logprobs);\n }\n else {\n const { content, refusal, ...rest } = logprobs;\n assertIsEmpty(rest);\n Object.assign(choice.logprobs, rest);\n if (content) {\n (_a = choice.logprobs).content ?? (_a.content = []);\n choice.logprobs.content.push(...content);\n }\n if (refusal) {\n (_b = choice.logprobs).refusal ?? (_b.refusal = []);\n choice.logprobs.refusal.push(...refusal);\n }\n }\n }\n if (finish_reason) {\n choice.finish_reason = finish_reason;\n if (__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\") && hasAutoParseableInput(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"))) {\n if (finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n }\n }\n Object.assign(choice, other);\n if (!delta)\n continue; // Shouldn't happen; just in case.\n const { content, refusal, function_call, role, tool_calls, ...rest } = delta;\n assertIsEmpty(rest);\n Object.assign(choice.message, rest);\n if (refusal) {\n choice.message.refusal = (choice.message.refusal || '') + refusal;\n }\n if (role)\n choice.message.role = role;\n if (function_call) {\n if (!choice.message.function_call) {\n choice.message.function_call = function_call;\n }\n else {\n if (function_call.name)\n choice.message.function_call.name = function_call.name;\n if (function_call.arguments) {\n (_c = choice.message.function_call).arguments ?? (_c.arguments = '');\n choice.message.function_call.arguments += function_call.arguments;\n }\n }\n }\n if (content) {\n choice.message.content = (choice.message.content || '') + content;\n if (!choice.message.refusal && __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this)) {\n choice.message.parsed = partialParse(choice.message.content);\n }\n }\n if (tool_calls) {\n if (!choice.message.tool_calls)\n choice.message.tool_calls = [];\n for (const { index, id, type, function: fn, ...rest } of tool_calls) {\n const tool_call = ((_d = choice.message.tool_calls)[index] ?? (_d[index] = {}));\n Object.assign(tool_call, rest);\n if (id)\n tool_call.id = id;\n if (type)\n tool_call.type = type;\n if (fn)\n tool_call.function ?? (tool_call.function = { name: fn.name ?? '', arguments: '' });\n if (fn?.name)\n tool_call.function.name = fn.name;\n if (fn?.arguments) {\n tool_call.function.arguments += fn.arguments;\n if (shouldParseToolCall(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"), tool_call)) {\n tool_call.function.parsed_arguments = partialParse(tool_call.function.arguments);\n }\n }\n }\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('chunk', (chunk) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(chunk);\n }\n else {\n pushQueue.push(chunk);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n}\nfunction finalizeChatCompletion(snapshot, params) {\n const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;\n const completion = {\n ...rest,\n id,\n choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {\n if (!finish_reason) {\n throw new OpenAIError(`missing finish_reason for choice ${index}`);\n }\n const { content = null, function_call, tool_calls, ...messageRest } = message;\n const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.\n if (!role) {\n throw new OpenAIError(`missing role for choice ${index}`);\n }\n if (function_call) {\n const { arguments: args, name } = function_call;\n if (args == null) {\n throw new OpenAIError(`missing function_call.arguments for choice ${index}`);\n }\n if (!name) {\n throw new OpenAIError(`missing function_call.name for choice ${index}`);\n }\n return {\n ...choiceRest,\n message: {\n content,\n function_call: { arguments: args, name },\n role,\n refusal: message.refusal ?? null,\n },\n finish_reason,\n index,\n logprobs,\n };\n }\n if (tool_calls) {\n return {\n ...choiceRest,\n index,\n finish_reason,\n logprobs,\n message: {\n ...messageRest,\n role,\n content,\n refusal: message.refusal ?? null,\n tool_calls: tool_calls.map((tool_call, i) => {\n const { function: fn, type, id, ...toolRest } = tool_call;\n const { arguments: args, name, ...fnRest } = fn || {};\n if (id == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\\n${str(snapshot)}`);\n }\n if (type == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\\n${str(snapshot)}`);\n }\n if (name == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\\n${str(snapshot)}`);\n }\n if (args == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\\n${str(snapshot)}`);\n }\n return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };\n }),\n },\n };\n }\n return {\n ...choiceRest,\n message: { ...messageRest, content, role, refusal: message.refusal ?? null },\n finish_reason,\n index,\n logprobs,\n };\n }),\n created,\n model,\n object: 'chat.completion',\n ...(system_fingerprint ? { system_fingerprint } : {}),\n };\n return maybeParseChatCompletion(completion, params);\n}\nfunction str(x) {\n return JSON.stringify(x);\n}\n/**\n * Ensures the given argument is an empty object, useful for\n * asserting that all known properties on an object have been\n * destructured.\n */\nfunction assertIsEmpty(obj) {\n return;\n}\nfunction assertNever(_x) { }\n//# sourceMappingURL=ChatCompletionStream.mjs.map","import { ChatCompletionStream } from \"./ChatCompletionStream.mjs\";\nexport class ChatCompletionStreamingRunner extends ChatCompletionStream {\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStreamingRunner(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static runTools(client, params, options) {\n const runner = new ChatCompletionStreamingRunner(\n // @ts-expect-error TODO these types are incompatible\n params);\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n}\n//# sourceMappingURL=ChatCompletionStreamingRunner.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages } from \"./messages.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nimport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nimport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nimport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nimport { parseChatCompletion, validateInputTools } from \"../../../lib/parser.mjs\";\nexport class Completions extends APIResource {\n constructor() {\n super(...arguments);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n create(body, options) {\n return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false });\n }\n /**\n * Get a stored chat completion. Only Chat Completions that have been created with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * const chatCompletion =\n * await client.chat.completions.retrieve('completion_id');\n * ```\n */\n retrieve(completionID, options) {\n return this._client.get(path `/chat/completions/${completionID}`, options);\n }\n /**\n * Modify a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be modified. Currently, the only\n * supported modification is to update the `metadata` field.\n *\n * @example\n * ```ts\n * const chatCompletion = await client.chat.completions.update(\n * 'completion_id',\n * { metadata: { foo: 'string' } },\n * );\n * ```\n */\n update(completionID, body, options) {\n return this._client.post(path `/chat/completions/${completionID}`, { body, ...options });\n }\n /**\n * List stored Chat Completions. Only Chat Completions that have been stored with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletion of client.chat.completions.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/chat/completions', (CursorPage), { query, ...options });\n }\n /**\n * Delete a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be deleted.\n *\n * @example\n * ```ts\n * const chatCompletionDeleted =\n * await client.chat.completions.delete('completion_id');\n * ```\n */\n delete(completionID, options) {\n return this._client.delete(path `/chat/completions/${completionID}`, options);\n }\n parse(body, options) {\n validateInputTools(body.tools);\n return this._client.chat.completions\n .create(body, {\n ...options,\n headers: {\n ...options?.headers,\n 'X-Stainless-Helper-Method': 'chat.completions.parse',\n },\n })\n ._thenUnwrap((completion) => parseChatCompletion(completion, body));\n }\n runTools(body, options) {\n if (body.stream) {\n return ChatCompletionStreamingRunner.runTools(this._client, body, options);\n }\n return ChatCompletionRunner.runTools(this._client, body, options);\n }\n /**\n * Creates a chat completion stream\n */\n stream(body, options) {\n return ChatCompletionStream.createChatCompletion(this._client, body, options);\n }\n}\nexport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nexport { ParsingToolFunction, } from \"../../../lib/RunnableFunction.mjs\";\nexport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nexport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nCompletions.Messages = Messages;\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as CompletionsAPI from \"./completions/completions.mjs\";\nimport { Completions, } from \"./completions/completions.mjs\";\nexport class Chat extends APIResource {\n constructor() {\n super(...arguments);\n this.completions = new CompletionsAPI.Completions(this._client);\n }\n}\nChat.Completions = Completions;\n//# sourceMappingURL=chat.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { isReadonlyArray } from \"./utils/values.mjs\";\nconst brand_privateNullableHeaders = /* @__PURE__ */ Symbol('brand.privateNullableHeaders');\nfunction* iterateHeaders(headers) {\n if (!headers)\n return;\n if (brand_privateNullableHeaders in headers) {\n const { values, nulls } = headers;\n yield* values.entries();\n for (const name of nulls) {\n yield [name, null];\n }\n return;\n }\n let shouldClear = false;\n let iter;\n if (headers instanceof Headers) {\n iter = headers.entries();\n }\n else if (isReadonlyArray(headers)) {\n iter = headers;\n }\n else {\n shouldClear = true;\n iter = Object.entries(headers ?? {});\n }\n for (let row of iter) {\n const name = row[0];\n if (typeof name !== 'string')\n throw new TypeError('expected header name to be a string');\n const values = isReadonlyArray(row[1]) ? row[1] : [row[1]];\n let didClear = false;\n for (const value of values) {\n if (value === undefined)\n continue;\n // Objects keys always overwrite older headers, they never append.\n // Yield a null to clear the header before adding the new values.\n if (shouldClear && !didClear) {\n didClear = true;\n yield [name, null];\n }\n yield [name, value];\n }\n }\n}\nexport const buildHeaders = (newHeaders) => {\n const targetHeaders = new Headers();\n const nullHeaders = new Set();\n for (const headers of newHeaders) {\n const seenHeaders = new Set();\n for (const [name, value] of iterateHeaders(headers)) {\n const lowerName = name.toLowerCase();\n if (!seenHeaders.has(lowerName)) {\n targetHeaders.delete(name);\n seenHeaders.add(lowerName);\n }\n if (value === null) {\n targetHeaders.delete(name);\n nullHeaders.add(lowerName);\n }\n else {\n targetHeaders.append(name, value);\n nullHeaders.delete(lowerName);\n }\n }\n }\n return { [brand_privateNullableHeaders]: true, values: targetHeaders, nulls: nullHeaders };\n};\nexport const isEmptyHeaders = (headers) => {\n for (const _ of iterateHeaders(headers))\n return false;\n return true;\n};\n//# sourceMappingURL=headers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nexport class Speech extends APIResource {\n /**\n * Generates audio from the input text.\n *\n * @example\n * ```ts\n * const speech = await client.audio.speech.create({\n * input: 'input',\n * model: 'string',\n * voice: 'ash',\n * });\n *\n * const content = await speech.blob();\n * console.log(content);\n * ```\n */\n create(body, options) {\n return this._client.post('/audio/speech', {\n body,\n ...options,\n headers: buildHeaders([{ Accept: 'application/octet-stream' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=speech.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Transcriptions extends APIResource {\n create(body, options) {\n return this._client.post('/audio/transcriptions', multipartFormRequestOptions({\n body,\n ...options,\n stream: body.stream ?? false,\n __metadata: { model: body.model },\n }, this._client));\n }\n}\n//# sourceMappingURL=transcriptions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Translations extends APIResource {\n create(body, options) {\n return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }, this._client));\n }\n}\n//# sourceMappingURL=translations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as SpeechAPI from \"./speech.mjs\";\nimport { Speech } from \"./speech.mjs\";\nimport * as TranscriptionsAPI from \"./transcriptions.mjs\";\nimport { Transcriptions, } from \"./transcriptions.mjs\";\nimport * as TranslationsAPI from \"./translations.mjs\";\nimport { Translations, } from \"./translations.mjs\";\nexport class Audio extends APIResource {\n constructor() {\n super(...arguments);\n this.transcriptions = new TranscriptionsAPI.Transcriptions(this._client);\n this.translations = new TranslationsAPI.Translations(this._client);\n this.speech = new SpeechAPI.Speech(this._client);\n }\n}\nAudio.Transcriptions = Transcriptions;\nAudio.Translations = Translations;\nAudio.Speech = Speech;\n//# sourceMappingURL=audio.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Batches extends APIResource {\n /**\n * Creates and executes a batch from an uploaded file of requests\n */\n create(body, options) {\n return this._client.post('/batches', { body, ...options });\n }\n /**\n * Retrieves a batch.\n */\n retrieve(batchID, options) {\n return this._client.get(path `/batches/${batchID}`, options);\n }\n /**\n * List your organization's batches.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/batches', (CursorPage), { query, ...options });\n }\n /**\n * Cancels an in-progress batch. The batch will be in status `cancelling` for up to\n * 10 minutes, before changing to `cancelled`, where it will have partial results\n * (if any) available in the output file.\n */\n cancel(batchID, options) {\n return this._client.post(path `/batches/${batchID}/cancel`, options);\n }\n}\n//# sourceMappingURL=batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Assistants extends APIResource {\n /**\n * Create an assistant with a model and instructions.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.create({\n * model: 'gpt-4o',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/assistants', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.retrieve(\n * 'assistant_id',\n * );\n * ```\n */\n retrieve(assistantID, options) {\n return this._client.get(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.update(\n * 'assistant_id',\n * );\n * ```\n */\n update(assistantID, body, options) {\n return this._client.post(path `/assistants/${assistantID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of assistants.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const assistant of client.beta.assistants.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/assistants', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete an assistant.\n *\n * @example\n * ```ts\n * const assistantDeleted =\n * await client.beta.assistants.delete('assistant_id');\n * ```\n */\n delete(assistantID, options) {\n return this._client.delete(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=assistants.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class Sessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API. Can be configured with the same session parameters as the\n * `session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const session =\n * await client.beta.realtime.sessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class TranscriptionSessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API specifically for realtime transcriptions. Can be configured with\n * the same session parameters as the `transcription_session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const transcriptionSession =\n * await client.beta.realtime.transcriptionSessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/transcription_sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=transcription-sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as SessionsAPI from \"./sessions.mjs\";\nimport { Sessions, } from \"./sessions.mjs\";\nimport * as TranscriptionSessionsAPI from \"./transcription-sessions.mjs\";\nimport { TranscriptionSessions, } from \"./transcription-sessions.mjs\";\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.sessions = new SessionsAPI.Sessions(this._client);\n this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);\n }\n}\nRealtime.Sessions = Sessions;\nRealtime.TranscriptionSessions = TranscriptionSessions;\n//# sourceMappingURL=realtime.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Messages extends APIResource {\n /**\n * Create a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}/messages`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieve a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(messageID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(messageID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of messages for a given thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Deletes a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(messageID, params, options) {\n const { thread_id } = params;\n return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=messages.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Steps extends APIResource {\n /**\n * Retrieves a run step.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(stepID, params, options) {\n const { thread_id, run_id, ...query } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${run_id}/steps/${stepID}`, {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of run steps belonging to a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(runID, params, options) {\n const { thread_id, ...query } = params;\n return this._client.getAPIList(path `/threads/${thread_id}/runs/${runID}/steps`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=steps.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\nimport { encodeUTF8 } from \"./bytes.mjs\";\nexport const toBase64 = (data) => {\n if (!data)\n return '';\n if (typeof globalThis.Buffer !== 'undefined') {\n return globalThis.Buffer.from(data).toString('base64');\n }\n if (typeof data === 'string') {\n data = encodeUTF8(data);\n }\n if (typeof btoa !== 'undefined') {\n return btoa(String.fromCharCode.apply(null, data));\n }\n throw new OpenAIError('Cannot generate base64 string; Expected `Buffer` or `btoa` to be defined');\n};\nexport const fromBase64 = (str) => {\n if (typeof globalThis.Buffer !== 'undefined') {\n const buf = globalThis.Buffer.from(str, 'base64');\n return new Uint8Array(buf.buffer, buf.byteOffset, buf.byteLength);\n }\n if (typeof atob !== 'undefined') {\n const bstr = atob(str);\n const buf = new Uint8Array(bstr.length);\n for (let i = 0; i < bstr.length; i++) {\n buf[i] = bstr.charCodeAt(i);\n }\n return buf;\n }\n throw new OpenAIError('Cannot decode base64 string; Expected `Buffer` or `atob` to be defined');\n};\n/**\n * Converts a Base64 encoded string to a Float32Array.\n * @param base64Str - The Base64 encoded string.\n * @returns An Array of numbers interpreted as Float32 values.\n */\nexport const toFloat32Array = (base64Str) => {\n if (typeof Buffer !== 'undefined') {\n // for Node.js environment\n const buf = Buffer.from(base64Str, 'base64');\n return Array.from(new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT));\n }\n else {\n // for legacy web platform APIs\n const binaryStr = atob(base64Str);\n const len = binaryStr.length;\n const bytes = new Uint8Array(len);\n for (let i = 0; i < len; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n return Array.from(new Float32Array(bytes.buffer));\n }\n};\n//# sourceMappingURL=base64.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * Read an environment variable.\n *\n * Trims beginning and trailing whitespace.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env) => {\n if (typeof globalThis.process !== 'undefined') {\n return globalThis.process.env?.[env]?.trim() ?? undefined;\n }\n if (typeof globalThis.Deno !== 'undefined') {\n return globalThis.Deno.env?.get?.(env)?.trim();\n }\n return undefined;\n};\n//# sourceMappingURL=env.mjs.map","var _AssistantStream_instances, _a, _AssistantStream_events, _AssistantStream_runStepSnapshots, _AssistantStream_messageSnapshots, _AssistantStream_messageSnapshot, _AssistantStream_finalRun, _AssistantStream_currentContentIndex, _AssistantStream_currentContent, _AssistantStream_currentToolCallIndex, _AssistantStream_currentToolCall, _AssistantStream_currentEvent, _AssistantStream_currentRunSnapshot, _AssistantStream_currentRunStepSnapshot, _AssistantStream_addEvent, _AssistantStream_endRequest, _AssistantStream_handleMessage, _AssistantStream_handleRunStep, _AssistantStream_handleEvent, _AssistantStream_accumulateRunStep, _AssistantStream_accumulateMessage, _AssistantStream_accumulateContent, _AssistantStream_handleRun;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isObj } from \"../internal/utils.mjs\";\nexport class AssistantStream extends EventStream {\n constructor() {\n super(...arguments);\n _AssistantStream_instances.add(this);\n //Track all events in a single list for reference\n _AssistantStream_events.set(this, []);\n //Used to accumulate deltas\n //We are accumulating many types so the value here is not strict\n _AssistantStream_runStepSnapshots.set(this, {});\n _AssistantStream_messageSnapshots.set(this, {});\n _AssistantStream_messageSnapshot.set(this, void 0);\n _AssistantStream_finalRun.set(this, void 0);\n _AssistantStream_currentContentIndex.set(this, void 0);\n _AssistantStream_currentContent.set(this, void 0);\n _AssistantStream_currentToolCallIndex.set(this, void 0);\n _AssistantStream_currentToolCall.set(this, void 0);\n //For current snapshot methods\n _AssistantStream_currentEvent.set(this, void 0);\n _AssistantStream_currentRunSnapshot.set(this, void 0);\n _AssistantStream_currentRunStepSnapshot.set(this, void 0);\n }\n [(_AssistantStream_events = new WeakMap(), _AssistantStream_runStepSnapshots = new WeakMap(), _AssistantStream_messageSnapshots = new WeakMap(), _AssistantStream_messageSnapshot = new WeakMap(), _AssistantStream_finalRun = new WeakMap(), _AssistantStream_currentContentIndex = new WeakMap(), _AssistantStream_currentContent = new WeakMap(), _AssistantStream_currentToolCallIndex = new WeakMap(), _AssistantStream_currentToolCall = new WeakMap(), _AssistantStream_currentEvent = new WeakMap(), _AssistantStream_currentRunSnapshot = new WeakMap(), _AssistantStream_currentRunStepSnapshot = new WeakMap(), _AssistantStream_instances = new WeakSet(), Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n //Catch all for passing along all events\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n static fromReadableStream(stream) {\n const runner = new _a();\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n static createToolAssistantStream(runId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runToolAssistantStream(runId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createToolAssistantStream(run, runId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.submitToolOutputs(runId, body, {\n ...options,\n signal: this.controller.signal,\n });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static createThreadAssistantStream(params, thread, options) {\n const runner = new _a();\n runner._run(() => runner._threadAssistantStream(params, thread, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n static createAssistantStream(threadId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runAssistantStream(threadId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n currentEvent() {\n return __classPrivateFieldGet(this, _AssistantStream_currentEvent, \"f\");\n }\n currentRun() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunSnapshot, \"f\");\n }\n currentMessageSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\");\n }\n currentRunStepSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunStepSnapshot, \"f\");\n }\n async finalRunSteps() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\"));\n }\n async finalMessages() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\"));\n }\n async finalRun() {\n await this.done();\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run was not received.');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n }\n async _createThreadAssistantStream(thread, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n async _createAssistantStream(run, threadId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static accumulateDelta(acc, delta) {\n for (const [key, deltaValue] of Object.entries(delta)) {\n if (!acc.hasOwnProperty(key)) {\n acc[key] = deltaValue;\n continue;\n }\n let accValue = acc[key];\n if (accValue === null || accValue === undefined) {\n acc[key] = deltaValue;\n continue;\n }\n // We don't accumulate these special properties\n if (key === 'index' || key === 'type') {\n acc[key] = deltaValue;\n continue;\n }\n // Type-specific accumulation logic\n if (typeof accValue === 'string' && typeof deltaValue === 'string') {\n accValue += deltaValue;\n }\n else if (typeof accValue === 'number' && typeof deltaValue === 'number') {\n accValue += deltaValue;\n }\n else if (isObj(accValue) && isObj(deltaValue)) {\n accValue = this.accumulateDelta(accValue, deltaValue);\n }\n else if (Array.isArray(accValue) && Array.isArray(deltaValue)) {\n if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) {\n accValue.push(...deltaValue); // Use spread syntax for efficient addition\n continue;\n }\n for (const deltaEntry of deltaValue) {\n if (!isObj(deltaEntry)) {\n throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`);\n }\n const index = deltaEntry['index'];\n if (index == null) {\n console.error(deltaEntry);\n throw new Error('Expected array delta entry to have an `index` property');\n }\n if (typeof index !== 'number') {\n throw new Error(`Expected array delta entry \\`index\\` property to be a number but got ${index}`);\n }\n const accEntry = accValue[index];\n if (accEntry == null) {\n accValue.push(deltaEntry);\n }\n else {\n accValue[index] = this.accumulateDelta(accEntry, deltaEntry);\n }\n }\n continue;\n }\n else {\n throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`);\n }\n acc[key] = accValue;\n }\n return acc;\n }\n _addRun(run) {\n return run;\n }\n async _threadAssistantStream(params, thread, options) {\n return await this._createThreadAssistantStream(thread, params, options);\n }\n async _runAssistantStream(threadId, runs, params, options) {\n return await this._createAssistantStream(runs, threadId, params, options);\n }\n async _runToolAssistantStream(runId, runs, params, options) {\n return await this._createToolAssistantStream(runs, runId, params, options);\n }\n}\n_a = AssistantStream, _AssistantStream_addEvent = function _AssistantStream_addEvent(event) {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _AssistantStream_currentEvent, event, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleEvent).call(this, event);\n switch (event.event) {\n case 'thread.created':\n //No action on this event.\n break;\n case 'thread.run.created':\n case 'thread.run.queued':\n case 'thread.run.in_progress':\n case 'thread.run.requires_action':\n case 'thread.run.completed':\n case 'thread.run.incomplete':\n case 'thread.run.failed':\n case 'thread.run.cancelling':\n case 'thread.run.cancelled':\n case 'thread.run.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRun).call(this, event);\n break;\n case 'thread.run.step.created':\n case 'thread.run.step.in_progress':\n case 'thread.run.step.delta':\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRunStep).call(this, event);\n break;\n case 'thread.message.created':\n case 'thread.message.in_progress':\n case 'thread.message.delta':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleMessage).call(this, event);\n break;\n case 'error':\n //This is included for completeness, but errors are processed in the SSE event processing so this should not occur\n throw new Error('Encountered an error event in event processing - errors should be processed earlier');\n default:\n assertNever(event);\n }\n}, _AssistantStream_endRequest = function _AssistantStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run has not been received');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n}, _AssistantStream_handleMessage = function _AssistantStream_handleMessage(event) {\n const [accumulatedMessage, newContent] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateMessage).call(this, event, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, accumulatedMessage, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\")[accumulatedMessage.id] = accumulatedMessage;\n for (const content of newContent) {\n const snapshotContent = accumulatedMessage.content[content.index];\n if (snapshotContent?.type == 'text') {\n this._emit('textCreated', snapshotContent.text);\n }\n }\n switch (event.event) {\n case 'thread.message.created':\n this._emit('messageCreated', event.data);\n break;\n case 'thread.message.in_progress':\n break;\n case 'thread.message.delta':\n this._emit('messageDelta', event.data.delta, accumulatedMessage);\n if (event.data.delta.content) {\n for (const content of event.data.delta.content) {\n //If it is text delta, emit a text delta event\n if (content.type == 'text' && content.text) {\n let textDelta = content.text;\n let snapshot = accumulatedMessage.content[content.index];\n if (snapshot && snapshot.type == 'text') {\n this._emit('textDelta', textDelta, snapshot.text);\n }\n else {\n throw Error('The snapshot associated with this text delta is not text or missing');\n }\n }\n if (content.index != __classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")) {\n //See if we have in progress content\n if (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\")) {\n switch (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").type) {\n case 'text':\n this._emit('textDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'image_file':\n this._emit('imageFileDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContentIndex, content.index, \"f\");\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContent, accumulatedMessage.content[content.index], \"f\");\n }\n }\n break;\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //We emit the latest content we were working on on completion (including incomplete)\n if (__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\") !== undefined) {\n const currentContent = event.data.content[__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")];\n if (currentContent) {\n switch (currentContent.type) {\n case 'image_file':\n this._emit('imageFileDone', currentContent.image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'text':\n this._emit('textDone', currentContent.text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n }\n if (__classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\")) {\n this._emit('messageDone', event.data);\n }\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, undefined, \"f\");\n }\n}, _AssistantStream_handleRunStep = function _AssistantStream_handleRunStep(event) {\n const accumulatedRunStep = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateRunStep).call(this, event);\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, accumulatedRunStep, \"f\");\n switch (event.event) {\n case 'thread.run.step.created':\n this._emit('runStepCreated', event.data);\n break;\n case 'thread.run.step.delta':\n const delta = event.data.delta;\n if (delta.step_details &&\n delta.step_details.type == 'tool_calls' &&\n delta.step_details.tool_calls &&\n accumulatedRunStep.step_details.type == 'tool_calls') {\n for (const toolCall of delta.step_details.tool_calls) {\n if (toolCall.index == __classPrivateFieldGet(this, _AssistantStream_currentToolCallIndex, \"f\")) {\n this._emit('toolCallDelta', toolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index]);\n }\n else {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n __classPrivateFieldSet(this, _AssistantStream_currentToolCallIndex, toolCall.index, \"f\");\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index], \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"))\n this._emit('toolCallCreated', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n }\n }\n this._emit('runStepDelta', event.data.delta, accumulatedRunStep);\n break;\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, undefined, \"f\");\n const details = event.data.step_details;\n if (details.type == 'tool_calls') {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n }\n this._emit('runStepDone', event.data, accumulatedRunStep);\n break;\n case 'thread.run.step.in_progress':\n break;\n }\n}, _AssistantStream_handleEvent = function _AssistantStream_handleEvent(event) {\n __classPrivateFieldGet(this, _AssistantStream_events, \"f\").push(event);\n this._emit('event', event);\n}, _AssistantStream_accumulateRunStep = function _AssistantStream_accumulateRunStep(event) {\n switch (event.event) {\n case 'thread.run.step.created':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n return event.data;\n case 'thread.run.step.delta':\n let snapshot = __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n if (!snapshot) {\n throw Error('Received a RunStepDelta before creation of a snapshot');\n }\n let data = event.data;\n if (data.delta) {\n const accumulated = _a.accumulateDelta(snapshot, data.delta);\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = accumulated;\n }\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n case 'thread.run.step.in_progress':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n break;\n }\n if (__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id])\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n throw new Error('No snapshot available');\n}, _AssistantStream_accumulateMessage = function _AssistantStream_accumulateMessage(event, snapshot) {\n let newContent = [];\n switch (event.event) {\n case 'thread.message.created':\n //On creation the snapshot is just the initial message\n return [event.data, newContent];\n case 'thread.message.delta':\n if (!snapshot) {\n throw Error('Received a delta with no existing snapshot (there should be one from message creation)');\n }\n let data = event.data;\n //If this delta does not have content, nothing to process\n if (data.delta.content) {\n for (const contentElement of data.delta.content) {\n if (contentElement.index in snapshot.content) {\n let currentContent = snapshot.content[contentElement.index];\n snapshot.content[contentElement.index] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateContent).call(this, contentElement, currentContent);\n }\n else {\n snapshot.content[contentElement.index] = contentElement;\n // This is a new element\n newContent.push(contentElement);\n }\n }\n }\n return [snapshot, newContent];\n case 'thread.message.in_progress':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //No changes on other thread events\n if (snapshot) {\n return [snapshot, newContent];\n }\n else {\n throw Error('Received thread message event with no existing snapshot');\n }\n }\n throw Error('Tried to accumulate a non-message event');\n}, _AssistantStream_accumulateContent = function _AssistantStream_accumulateContent(contentElement, currentContent) {\n return _a.accumulateDelta(currentContent, contentElement);\n}, _AssistantStream_handleRun = function _AssistantStream_handleRun(event) {\n __classPrivateFieldSet(this, _AssistantStream_currentRunSnapshot, event.data, \"f\");\n switch (event.event) {\n case 'thread.run.created':\n break;\n case 'thread.run.queued':\n break;\n case 'thread.run.in_progress':\n break;\n case 'thread.run.requires_action':\n case 'thread.run.cancelled':\n case 'thread.run.failed':\n case 'thread.run.completed':\n case 'thread.run.expired':\n case 'thread.run.incomplete':\n __classPrivateFieldSet(this, _AssistantStream_finalRun, event.data, \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n break;\n case 'thread.run.cancelling':\n break;\n }\n};\nfunction assertNever(_x) { }\n//# sourceMappingURL=AssistantStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport * as StepsAPI from \"./steps.mjs\";\nimport { Steps, } from \"./steps.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../../lib/AssistantStream.mjs\";\nimport { sleep } from \"../../../../internal/utils/sleep.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.steps = new StepsAPI.Steps(this._client);\n }\n create(threadID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/threads/${threadID}/runs`, {\n query: { include },\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * Retrieves a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(runID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${runID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of runs belonging to a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/runs`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancels a run that is `in_progress`.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n cancel(runID, params, options) {\n const { thread_id } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * A helper to create a run an poll for a terminal state. More information on Run\n * lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndPoll(threadId, body, options) {\n const run = await this.create(threadId, body, options);\n return await this.poll(run.id, { thread_id: threadId }, options);\n }\n /**\n * Create a Run stream\n *\n * @deprecated use `stream` instead\n */\n createAndStream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n /**\n * A helper to poll a run status until it reaches a terminal state. More\n * information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async poll(runId, params, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: run, response } = await this.retrieve(runId, params, {\n ...options,\n headers: { ...options?.headers, ...headers },\n }).withResponse();\n switch (run.status) {\n //If we are in any sort of intermediate state we poll\n case 'queued':\n case 'in_progress':\n case 'cancelling':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n //We return the run in any terminal state.\n case 'requires_action':\n case 'incomplete':\n case 'cancelled':\n case 'completed':\n case 'failed':\n case 'expired':\n return run;\n }\n }\n }\n /**\n * Create a Run stream\n */\n stream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n submitToolOutputs(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/submit_tool_outputs`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * A helper to submit a tool output to a run and poll for a terminal run state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async submitToolOutputsAndPoll(runId, params, options) {\n const run = await this.submitToolOutputs(runId, params, options);\n return await this.poll(run.id, params, options);\n }\n /**\n * Submit the tool outputs from a previous run and stream the run to a terminal\n * state. More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n submitToolOutputsStream(runId, params, options) {\n return AssistantStream.createToolAssistantStream(runId, this._client.beta.threads.runs, params, options);\n }\n}\nRuns.Steps = Steps;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages, } from \"./messages.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../lib/AssistantStream.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Threads extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n /**\n * Create a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(body = {}, options) {\n return this._client.post('/threads', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(threadID, options) {\n return this._client.get(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(threadID, options) {\n return this._client.delete(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n createAndRun(body, options) {\n return this._client.post('/threads/runs', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: body.stream ?? false,\n });\n }\n /**\n * A helper to create a thread, start a run and then poll for a terminal state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndRunPoll(body, options) {\n const run = await this.createAndRun(body, options);\n return await this.runs.poll(run.id, { thread_id: run.thread_id }, options);\n }\n /**\n * Create a thread and stream the run back\n */\n createAndRunStream(body, options) {\n return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options);\n }\n}\nThreads.Runs = Runs;\nThreads.Messages = Messages;\n//# sourceMappingURL=threads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as AssistantsAPI from \"./assistants.mjs\";\nimport { Assistants, } from \"./assistants.mjs\";\nimport * as RealtimeAPI from \"./realtime/realtime.mjs\";\nimport { Realtime, } from \"./realtime/realtime.mjs\";\nimport * as ThreadsAPI from \"./threads/threads.mjs\";\nimport { Threads, } from \"./threads/threads.mjs\";\nexport class Beta extends APIResource {\n constructor() {\n super(...arguments);\n this.realtime = new RealtimeAPI.Realtime(this._client);\n this.assistants = new AssistantsAPI.Assistants(this._client);\n this.threads = new ThreadsAPI.Threads(this._client);\n }\n}\nBeta.Realtime = Realtime;\nBeta.Assistants = Assistants;\nBeta.Threads = Threads;\n//# sourceMappingURL=beta.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Completions extends APIResource {\n create(body, options) {\n return this._client.post('/completions', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Content extends APIResource {\n /**\n * Retrieve Container File Content\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=content.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as ContentAPI from \"./content.mjs\";\nimport { Content } from \"./content.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { multipartFormRequestOptions } from \"../../../internal/uploads.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n constructor() {\n super(...arguments);\n this.content = new ContentAPI.Content(this._client);\n }\n /**\n * Create a Container File\n *\n * You can send either a multipart/form-data request with the raw file content, or\n * a JSON request with a file ID.\n */\n create(containerID, body, options) {\n return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Retrieve Container File\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);\n }\n /**\n * List Container files\n */\n list(containerID, query = {}, options) {\n return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete Container File\n */\n delete(fileID, params, options) {\n const { container_id } = params;\n return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nFiles.Content = Content;\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FilesAPI from \"./files/files.mjs\";\nimport { Files, } from \"./files/files.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Containers extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n }\n /**\n * Create Container\n */\n create(body, options) {\n return this._client.post('/containers', { body, ...options });\n }\n /**\n * Retrieve Container\n */\n retrieve(containerID, options) {\n return this._client.get(path `/containers/${containerID}`, options);\n }\n /**\n * List Containers\n */\n list(query = {}, options) {\n return this._client.getAPIList('/containers', (CursorPage), { query, ...options });\n }\n /**\n * Delete Container\n */\n delete(containerID, options) {\n return this._client.delete(path `/containers/${containerID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nContainers.Files = Files;\n//# sourceMappingURL=containers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { ConversationCursorPage, } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Items extends APIResource {\n /**\n * Create items in a conversation with the given ID.\n */\n create(conversationID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/conversations/${conversationID}/items`, {\n query: { include },\n body,\n ...options,\n });\n }\n /**\n * Get a single item from a conversation with the given IDs.\n */\n retrieve(itemID, params, options) {\n const { conversation_id, ...query } = params;\n return this._client.get(path `/conversations/${conversation_id}/items/${itemID}`, { query, ...options });\n }\n /**\n * List all items for a conversation with the given ID.\n */\n list(conversationID, query = {}, options) {\n return this._client.getAPIList(path `/conversations/${conversationID}/items`, (ConversationCursorPage), { query, ...options });\n }\n /**\n * Delete an item from a conversation with the given IDs.\n */\n delete(itemID, params, options) {\n const { conversation_id } = params;\n return this._client.delete(path `/conversations/${conversation_id}/items/${itemID}`, options);\n }\n}\n//# sourceMappingURL=items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ItemsAPI from \"./items.mjs\";\nimport { Items, } from \"./items.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Conversations extends APIResource {\n constructor() {\n super(...arguments);\n this.items = new ItemsAPI.Items(this._client);\n }\n /**\n * Create a conversation with the given ID.\n */\n create(body, options) {\n return this._client.post('/conversations', { body, ...options });\n }\n /**\n * Get a conversation with the given ID.\n */\n retrieve(conversationID, options) {\n return this._client.get(path `/conversations/${conversationID}`, options);\n }\n /**\n * Update a conversation's metadata with the given ID.\n */\n update(conversationID, body, options) {\n return this._client.post(path `/conversations/${conversationID}`, { body, ...options });\n }\n /**\n * Delete a conversation with the given ID.\n */\n delete(conversationID, options) {\n return this._client.delete(path `/conversations/${conversationID}`, options);\n }\n}\nConversations.Items = Items;\n//# sourceMappingURL=conversations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { loggerFor, toFloat32Array } from \"../internal/utils.mjs\";\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n *\n * @example\n * ```ts\n * const createEmbeddingResponse =\n * await client.embeddings.create({\n * input: 'The quick brown fox jumped over the lazy dog',\n * model: 'text-embedding-3-small',\n * });\n * ```\n */\n create(body, options) {\n const hasUserProvidedEncodingFormat = !!body.encoding_format;\n // No encoding_format specified, defaulting to base64 for performance reasons\n // See https://github.com/openai/openai-node/pull/1312\n let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';\n if (hasUserProvidedEncodingFormat) {\n loggerFor(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);\n }\n const response = this._client.post('/embeddings', {\n body: {\n ...body,\n encoding_format: encoding_format,\n },\n ...options,\n });\n // if the user specified an encoding_format, return the response as-is\n if (hasUserProvidedEncodingFormat) {\n return response;\n }\n // in this stage, we are sure the user did not specify an encoding_format\n // and we defaulted to base64 for performance reasons\n // we are sure then that the response is base64 encoded, let's decode it\n // the returned result will be a float32 array since this is OpenAI API's default encoding\n loggerFor(this._client).debug('embeddings/decoding base64 embeddings from base64');\n return response._thenUnwrap((response) => {\n if (response && response.data) {\n response.data.forEach((embeddingBase64Obj) => {\n const embeddingBase64Str = embeddingBase64Obj.embedding;\n embeddingBase64Obj.embedding = toFloat32Array(embeddingBase64Str);\n });\n }\n return response;\n });\n }\n}\n//# sourceMappingURL=embeddings.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class OutputItems extends APIResource {\n /**\n * Get an evaluation run output item by ID.\n */\n retrieve(outputItemID, params, options) {\n const { eval_id, run_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);\n }\n /**\n * Get a list of output items for an evaluation run.\n */\n list(runID, params, options) {\n const { eval_id, ...query } = params;\n return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=output-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as OutputItemsAPI from \"./output-items.mjs\";\nimport { OutputItems, } from \"./output-items.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.outputItems = new OutputItemsAPI.OutputItems(this._client);\n }\n /**\n * Kicks off a new run for a given evaluation, specifying the data source, and what\n * model configuration to use to test. The datasource will be validated against the\n * schema specified in the config of the evaluation.\n */\n create(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}/runs`, { body, ...options });\n }\n /**\n * Get an evaluation run by ID.\n */\n retrieve(runID, params, options) {\n const { eval_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Get a list of runs for an evaluation.\n */\n list(evalID, query = {}, options) {\n return this._client.getAPIList(path `/evals/${evalID}/runs`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete an eval run.\n */\n delete(runID, params, options) {\n const { eval_id } = params;\n return this._client.delete(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Cancel an ongoing evaluation run.\n */\n cancel(runID, params, options) {\n const { eval_id } = params;\n return this._client.post(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n}\nRuns.OutputItems = OutputItems;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Evals extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n }\n /**\n * Create the structure of an evaluation that can be used to test a model's\n * performance. An evaluation is a set of testing criteria and the config for a\n * data source, which dictates the schema of the data used in the evaluation. After\n * creating an evaluation, you can run it on different models and model parameters.\n * We support several types of graders and datasources. For more information, see\n * the [Evals guide](https://platform.openai.com/docs/guides/evals).\n */\n create(body, options) {\n return this._client.post('/evals', { body, ...options });\n }\n /**\n * Get an evaluation by ID.\n */\n retrieve(evalID, options) {\n return this._client.get(path `/evals/${evalID}`, options);\n }\n /**\n * Update certain properties of an evaluation.\n */\n update(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}`, { body, ...options });\n }\n /**\n * List evaluations for a project.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/evals', (CursorPage), { query, ...options });\n }\n /**\n * Delete an evaluation.\n */\n delete(evalID, options) {\n return this._client.delete(path `/evals/${evalID}`, options);\n }\n}\nEvals.Runs = Runs;\n//# sourceMappingURL=evals.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nimport { sleep } from \"../internal/utils/sleep.mjs\";\nimport { APIConnectionTimeoutError } from \"../error.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Upload a file that can be used across various endpoints. Individual files can be\n * up to 512 MB, and the size of all files uploaded by one organization can be up\n * to 1 TB.\n *\n * The Assistants API supports files up to 2 million tokens and of specific file\n * types. See the\n * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for\n * details.\n *\n * The Fine-tuning API only supports `.jsonl` files. The input also has certain\n * required formats for fine-tuning\n * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or\n * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)\n * models.\n *\n * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also\n * has a specific required\n * [format](https://platform.openai.com/docs/api-reference/batch/request-input).\n *\n * Please [contact us](https://help.openai.com/) if you need to increase these\n * storage limits.\n */\n create(body, options) {\n return this._client.post('/files', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Returns information about a specific file.\n */\n retrieve(fileID, options) {\n return this._client.get(path `/files/${fileID}`, options);\n }\n /**\n * Returns a list of files.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/files', (CursorPage), { query, ...options });\n }\n /**\n * Delete a file.\n */\n delete(fileID, options) {\n return this._client.delete(path `/files/${fileID}`, options);\n }\n /**\n * Returns the contents of the specified file.\n */\n content(fileID, options) {\n return this._client.get(path `/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n /**\n * Waits for the given file to be processed, default timeout is 30 mins.\n */\n async waitForProcessing(id, { pollInterval = 5000, maxWait = 30 * 60 * 1000 } = {}) {\n const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']);\n const start = Date.now();\n let file = await this.retrieve(id);\n while (!file.status || !TERMINAL_STATES.has(file.status)) {\n await sleep(pollInterval);\n file = await this.retrieve(id);\n if (Date.now() - start > maxWait) {\n throw new APIConnectionTimeoutError({\n message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`,\n });\n }\n }\n return file;\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class Methods extends APIResource {\n}\n//# sourceMappingURL=methods.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nexport class Graders extends APIResource {\n /**\n * Run a grader.\n *\n * @example\n * ```ts\n * const response = await client.fineTuning.alpha.graders.run({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * model_sample: 'model_sample',\n * });\n * ```\n */\n run(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options });\n }\n /**\n * Validate a grader.\n *\n * @example\n * ```ts\n * const response =\n * await client.fineTuning.alpha.graders.validate({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * });\n * ```\n */\n validate(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });\n }\n}\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as GradersAPI from \"./graders.mjs\";\nimport { Graders, } from \"./graders.mjs\";\nexport class Alpha extends APIResource {\n constructor() {\n super(...arguments);\n this.graders = new GradersAPI.Graders(this._client);\n }\n}\nAlpha.Graders = Graders;\n//# sourceMappingURL=alpha.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { Page } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Permissions extends APIResource {\n /**\n * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).\n *\n * This enables organization owners to share fine-tuned models with other projects\n * in their organization.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create(\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * { project_ids: ['string'] },\n * )) {\n * // ...\n * }\n * ```\n */\n create(fineTunedModelCheckpoint, body, options) {\n return this._client.getAPIList(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, (Page), { body, method: 'post', ...options });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to view all permissions for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTunedModelCheckpoint, query = {}, options) {\n return this._client.get(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, {\n query,\n ...options,\n });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to delete a permission for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.delete(\n * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB',\n * {\n * fine_tuned_model_checkpoint:\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * },\n * );\n * ```\n */\n delete(permissionID, params, options) {\n const { fine_tuned_model_checkpoint } = params;\n return this._client.delete(path `/fine_tuning/checkpoints/${fine_tuned_model_checkpoint}/permissions/${permissionID}`, options);\n }\n}\n//# sourceMappingURL=permissions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as PermissionsAPI from \"./permissions.mjs\";\nimport { Permissions, } from \"./permissions.mjs\";\nexport class Checkpoints extends APIResource {\n constructor() {\n super(...arguments);\n this.permissions = new PermissionsAPI.Permissions(this._client);\n }\n}\nCheckpoints.Permissions = Permissions;\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Checkpoints extends APIResource {\n /**\n * List checkpoints for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n list(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/checkpoints`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints.mjs\";\nimport { Checkpoints, } from \"./checkpoints.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Jobs extends APIResource {\n constructor() {\n super(...arguments);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n }\n /**\n * Creates a fine-tuning job which begins the process of creating a new model from\n * a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.create({\n * model: 'gpt-4o-mini',\n * training_file: 'file-abc123',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/fine_tuning/jobs', { body, ...options });\n }\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTuningJobID, options) {\n return this._client.get(path `/fine_tuning/jobs/${fineTuningJobID}`, options);\n }\n /**\n * List your organization's fine-tuning jobs\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJob of client.fineTuning.jobs.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/fine_tuning/jobs', (CursorPage), { query, ...options });\n }\n /**\n * Immediately cancel a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.cancel(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n cancel(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/cancel`, options);\n }\n /**\n * Get status updates for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n listEvents(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/events`, (CursorPage), { query, ...options });\n }\n /**\n * Pause a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.pause(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n pause(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/pause`, options);\n }\n /**\n * Resume a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.resume(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n resume(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/resume`, options);\n }\n}\nJobs.Checkpoints = Checkpoints;\n//# sourceMappingURL=jobs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as MethodsAPI from \"./methods.mjs\";\nimport { Methods, } from \"./methods.mjs\";\nimport * as AlphaAPI from \"./alpha/alpha.mjs\";\nimport { Alpha } from \"./alpha/alpha.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints/checkpoints.mjs\";\nimport { Checkpoints } from \"./checkpoints/checkpoints.mjs\";\nimport * as JobsAPI from \"./jobs/jobs.mjs\";\nimport { Jobs, } from \"./jobs/jobs.mjs\";\nexport class FineTuning extends APIResource {\n constructor() {\n super(...arguments);\n this.methods = new MethodsAPI.Methods(this._client);\n this.jobs = new JobsAPI.Jobs(this._client);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n this.alpha = new AlphaAPI.Alpha(this._client);\n }\n}\nFineTuning.Methods = Methods;\nFineTuning.Jobs = Jobs;\nFineTuning.Checkpoints = Checkpoints;\nFineTuning.Alpha = Alpha;\n//# sourceMappingURL=fine-tuning.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class GraderModels extends APIResource {\n}\n//# sourceMappingURL=grader-models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as GraderModelsAPI from \"./grader-models.mjs\";\nimport { GraderModels, } from \"./grader-models.mjs\";\nexport class Graders extends APIResource {\n constructor() {\n super(...arguments);\n this.graderModels = new GraderModelsAPI.GraderModels(this._client);\n }\n}\nGraders.GraderModels = GraderModels;\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image. This endpoint only supports `dall-e-2`.\n *\n * @example\n * ```ts\n * const imagesResponse = await client.images.createVariation({\n * image: fs.createReadStream('otter.png'),\n * });\n * ```\n */\n createVariation(body, options) {\n return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n edit(body, options) {\n return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options, stream: body.stream ?? false }, this._client));\n }\n generate(body, options) {\n return this._client.post('/images/generations', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=images.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { Page } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model, options) {\n return this._client.get(path `/models/${model}`, options);\n }\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options) {\n return this._client.getAPIList('/models', (Page), options);\n }\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization to\n * delete a model.\n */\n delete(model, options) {\n return this._client.delete(path `/models/${model}`, options);\n }\n}\n//# sourceMappingURL=models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Moderations extends APIResource {\n /**\n * Classifies if text and/or image inputs are potentially harmful. Learn more in\n * the [moderation guide](https://platform.openai.com/docs/guides/moderation).\n */\n create(body, options) {\n return this._client.post('/moderations', { body, ...options });\n }\n}\n//# sourceMappingURL=moderations.mjs.map","import { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableResponseFormat } from \"../lib/parser.mjs\";\nexport function maybeParseResponse(response, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...response,\n output_parsed: null,\n output: response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: null,\n };\n }\n if (item.type === 'message') {\n return {\n ...item,\n content: item.content.map((content) => ({\n ...content,\n parsed: null,\n })),\n };\n }\n else {\n return item;\n }\n }),\n };\n }\n return parseResponse(response, params);\n}\nexport function parseResponse(response, params) {\n const output = response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: parseToolCall(params, item),\n };\n }\n if (item.type === 'message') {\n const content = item.content.map((content) => {\n if (content.type === 'output_text') {\n return {\n ...content,\n parsed: parseTextFormat(params, content.text),\n };\n }\n return content;\n });\n return {\n ...item,\n content,\n };\n }\n return item;\n });\n const parsed = Object.assign({}, response, { output });\n if (!Object.getOwnPropertyDescriptor(response, 'output_text')) {\n addOutputText(parsed);\n }\n Object.defineProperty(parsed, 'output_parsed', {\n enumerable: true,\n get() {\n for (const output of parsed.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text' && content.parsed !== null) {\n return content.parsed;\n }\n }\n }\n return null;\n },\n });\n return parsed;\n}\nfunction parseTextFormat(params, content) {\n if (params.text?.format?.type !== 'json_schema') {\n return null;\n }\n if ('$parseRaw' in params.text?.format) {\n const text_format = params.text?.format;\n return text_format.$parseRaw(content);\n }\n return JSON.parse(content);\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.text?.format)) {\n return true;\n }\n return false;\n}\nexport function makeParseableResponseTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nfunction getInputToolByName(input_tools, name) {\n return input_tools.find((tool) => tool.type === 'function' && tool.name === name);\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return {\n ...toolCall,\n ...toolCall,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments)\n : inputTool?.strict ? JSON.parse(toolCall.arguments)\n : null,\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params) {\n return false;\n }\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return isAutoParsableTool(inputTool) || inputTool?.strict || false;\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\nexport function addOutputText(rsp) {\n const texts = [];\n for (const output of rsp.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text') {\n texts.push(content.text);\n }\n }\n }\n rsp.output_text = texts.join('');\n}\n//# sourceMappingURL=ResponsesParser.mjs.map","var _ResponseStream_instances, _ResponseStream_params, _ResponseStream_currentResponseSnapshot, _ResponseStream_finalResponse, _ResponseStream_beginRequest, _ResponseStream_addEvent, _ResponseStream_endRequest, _ResponseStream_accumulateResponse;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../../error.mjs\";\nimport { EventStream } from \"../EventStream.mjs\";\nimport { maybeParseResponse } from \"../ResponsesParser.mjs\";\nexport class ResponseStream extends EventStream {\n constructor(params) {\n super();\n _ResponseStream_instances.add(this);\n _ResponseStream_params.set(this, void 0);\n _ResponseStream_currentResponseSnapshot.set(this, void 0);\n _ResponseStream_finalResponse.set(this, void 0);\n __classPrivateFieldSet(this, _ResponseStream_params, params, \"f\");\n }\n static createResponse(client, params, options) {\n const runner = new ResponseStream(params);\n runner._run(() => runner._createOrRetrieveResponse(client, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createOrRetrieveResponse(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_beginRequest).call(this);\n let stream;\n let starting_after = null;\n if ('response_id' in params) {\n stream = await client.responses.retrieve(params.response_id, { stream: true }, { ...options, signal: this.controller.signal, stream: true });\n starting_after = params.starting_after ?? null;\n }\n else {\n stream = await client.responses.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n }\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_addEvent).call(this, event, starting_after);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_endRequest).call(this);\n }\n [(_ResponseStream_params = new WeakMap(), _ResponseStream_currentResponseSnapshot = new WeakMap(), _ResponseStream_finalResponse = new WeakMap(), _ResponseStream_instances = new WeakSet(), _ResponseStream_beginRequest = function _ResponseStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n }, _ResponseStream_addEvent = function _ResponseStream_addEvent(event, starting_after) {\n if (this.ended)\n return;\n const maybeEmit = (name, event) => {\n if (starting_after == null || event.sequence_number > starting_after) {\n this._emit(name, event);\n }\n };\n const response = __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_accumulateResponse).call(this, event);\n maybeEmit('event', event);\n switch (event.type) {\n case 'response.output_text.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n maybeEmit('response.output_text.delta', {\n ...event,\n snapshot: content.text,\n });\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n maybeEmit('response.function_call_arguments.delta', {\n ...event,\n snapshot: output.arguments,\n });\n }\n break;\n }\n default:\n maybeEmit(event.type, event);\n break;\n }\n }, _ResponseStream_endRequest = function _ResponseStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any events`);\n }\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n const parsedResponse = finalizeResponse(snapshot, __classPrivateFieldGet(this, _ResponseStream_params, \"f\"));\n __classPrivateFieldSet(this, _ResponseStream_finalResponse, parsedResponse, \"f\");\n return parsedResponse;\n }, _ResponseStream_accumulateResponse = function _ResponseStream_accumulateResponse(event) {\n let snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n if (event.type !== 'response.created') {\n throw new OpenAIError(`When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`);\n }\n snapshot = __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n return snapshot;\n }\n switch (event.type) {\n case 'response.output_item.added': {\n snapshot.output.push(event.item);\n break;\n }\n case 'response.content_part.added': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n output.content.push(event.part);\n }\n break;\n }\n case 'response.output_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n output.arguments += event.delta;\n }\n break;\n }\n case 'response.completed': {\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n break;\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true }));\n }\n const event = pushQueue.shift();\n return { value: event, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n /**\n * @returns a promise that resolves with the final Response, or rejects\n * if an error occurred or the stream ended prematurely without producing a REsponse.\n */\n async finalResponse() {\n await this.done();\n const response = __classPrivateFieldGet(this, _ResponseStream_finalResponse, \"f\");\n if (!response)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return response;\n }\n}\nfunction finalizeResponse(snapshot, params) {\n return maybeParseResponse(snapshot, params);\n}\n//# sourceMappingURL=ResponseStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class InputItems extends APIResource {\n /**\n * Returns a list of input items for a given response.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const responseItem of client.responses.inputItems.list(\n * 'response_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(responseID, query = {}, options) {\n return this._client.getAPIList(path `/responses/${responseID}/input_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=input-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { parseResponse, addOutputText, } from \"../../lib/ResponsesParser.mjs\";\nimport { ResponseStream } from \"../../lib/responses/ResponseStream.mjs\";\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as InputItemsAPI from \"./input-items.mjs\";\nimport { InputItems } from \"./input-items.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Responses extends APIResource {\n constructor() {\n super(...arguments);\n this.inputItems = new InputItemsAPI.InputItems(this._client);\n }\n create(body, options) {\n return this._client.post('/responses', { body, ...options, stream: body.stream ?? false })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n retrieve(responseID, query = {}, options) {\n return this._client.get(path `/responses/${responseID}`, {\n query,\n ...options,\n stream: query?.stream ?? false,\n })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n /**\n * Deletes a model response with the given ID.\n *\n * @example\n * ```ts\n * await client.responses.delete(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n delete(responseID, options) {\n return this._client.delete(path `/responses/${responseID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n parse(body, options) {\n return this._client.responses\n .create(body, options)\n ._thenUnwrap((response) => parseResponse(response, body));\n }\n /**\n * Creates a model response stream\n */\n stream(body, options) {\n return ResponseStream.createResponse(this._client, body, options);\n }\n /**\n * Cancels a model response with the given ID. Only responses created with the\n * `background` parameter set to `true` can be cancelled.\n * [Learn more](https://platform.openai.com/docs/guides/background).\n *\n * @example\n * ```ts\n * const response = await client.responses.cancel(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n cancel(responseID, options) {\n return this._client.post(path `/responses/${responseID}/cancel`, options);\n }\n}\nResponses.InputItems = InputItems;\n//# sourceMappingURL=responses.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Parts extends APIResource {\n /**\n * Adds a\n * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.\n * A Part represents a chunk of bytes from the file you are trying to upload.\n *\n * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload\n * maximum of 8 GB.\n *\n * It is possible to add multiple Parts in parallel. You can decide the intended\n * order of the Parts when you\n * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).\n */\n create(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/parts`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n}\n//# sourceMappingURL=parts.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as PartsAPI from \"./parts.mjs\";\nimport { Parts } from \"./parts.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Uploads extends APIResource {\n constructor() {\n super(...arguments);\n this.parts = new PartsAPI.Parts(this._client);\n }\n /**\n * Creates an intermediate\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object\n * that you can add\n * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.\n * Currently, an Upload can accept at most 8 GB in total and expires after an hour\n * after you create it.\n *\n * Once you complete the Upload, we will create a\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * contains all the parts you uploaded. This File is usable in the rest of our\n * platform as a regular File object.\n *\n * For certain `purpose` values, the correct `mime_type` must be specified. Please\n * refer to documentation for the\n * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).\n *\n * For guidance on the proper filename extensions for each purpose, please follow\n * the documentation on\n * [creating a File](https://platform.openai.com/docs/api-reference/files/create).\n */\n create(body, options) {\n return this._client.post('/uploads', { body, ...options });\n }\n /**\n * Cancels the Upload. No Parts may be added after an Upload is cancelled.\n */\n cancel(uploadID, options) {\n return this._client.post(path `/uploads/${uploadID}/cancel`, options);\n }\n /**\n * Completes the\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object).\n *\n * Within the returned Upload object, there is a nested\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * is ready to use in the rest of the platform.\n *\n * You can specify the order of the Parts by passing in an ordered list of the Part\n * IDs.\n *\n * The number of bytes uploaded upon completion must match the number of bytes\n * initially specified when creating the Upload object. No Parts may be added after\n * an Upload is completed.\n */\n complete(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/complete`, { body, ...options });\n }\n}\nUploads.Parts = Parts;\n//# sourceMappingURL=uploads.mjs.map","/**\n * Like `Promise.allSettled()` but throws an error if any promises are rejected.\n */\nexport const allSettledWithThrow = async (promises) => {\n const results = await Promise.allSettled(promises);\n const rejected = results.filter((result) => result.status === 'rejected');\n if (rejected.length) {\n for (const result of rejected) {\n console.error(result.reason);\n }\n throw new Error(`${rejected.length} promise(s) failed - see the above errors`);\n }\n // Note: TS was complaining about using `.filter().map()` here for some reason\n const values = [];\n for (const result of results) {\n if (result.status === 'fulfilled') {\n values.push(result.value);\n }\n }\n return values;\n};\n//# sourceMappingURL=Util.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils/sleep.mjs\";\nimport { allSettledWithThrow } from \"../../lib/Util.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class FileBatches extends APIResource {\n /**\n * Create a vector store file batch.\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/file_batches`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file batch.\n */\n retrieve(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/file_batches/${batchID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancel a vector store file batch. This attempts to cancel the processing of\n * files in this batch as soon as possible.\n */\n cancel(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Create a vector store batch and poll until all files have been processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const batch = await this.create(vectorStoreId, body);\n return await this.poll(vectorStoreId, batch.id, options);\n }\n /**\n * Returns a list of vector store files in a batch.\n */\n listFiles(batchID, params, options) {\n const { vector_store_id, ...query } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/files`, (CursorPage), { query, ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n /**\n * Wait for the given file batch to be processed.\n *\n * Note: this will return even if one of the files failed to process, you need to\n * check batch.file_counts.failed_count to handle this case.\n */\n async poll(vectorStoreID, batchID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: batch, response } = await this.retrieve(batchID, { vector_store_id: vectorStoreID }, {\n ...options,\n headers,\n }).withResponse();\n switch (batch.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'cancelled':\n case 'completed':\n return batch;\n }\n }\n }\n /**\n * Uploads the given files concurrently and then creates a vector store file batch.\n *\n * The concurrency limit is configurable using the `maxConcurrency` parameter.\n */\n async uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options) {\n if (files == null || files.length == 0) {\n throw new Error(`No \\`files\\` provided to process. If you've already uploaded files you should use \\`.createAndPoll()\\` instead`);\n }\n const configuredConcurrency = options?.maxConcurrency ?? 5;\n // We cap the number of workers at the number of files (so we don't start any unnecessary workers)\n const concurrencyLimit = Math.min(configuredConcurrency, files.length);\n const client = this._client;\n const fileIterator = files.values();\n const allFileIds = [...fileIds];\n // This code is based on this design. The libraries don't accommodate our environment limits.\n // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all\n async function processFiles(iterator) {\n for (let item of iterator) {\n const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options);\n allFileIds.push(fileObj.id);\n }\n }\n // Start workers to process results\n const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles);\n // Wait for all processing to complete.\n await allSettledWithThrow(workers);\n return await this.createAndPoll(vectorStoreId, {\n file_ids: allFileIds,\n });\n }\n}\n//# sourceMappingURL=file-batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Create a vector store file by attaching a\n * [File](https://platform.openai.com/docs/api-reference/files) to a\n * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file.\n */\n retrieve(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Update attributes on a vector store file.\n */\n update(fileID, params, options) {\n const { vector_store_id, ...body } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector store files.\n */\n list(vectorStoreID, query = {}, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store file. This will remove the file from the vector store but\n * the file itself will not be deleted. To delete the file, use the\n * [delete file](https://platform.openai.com/docs/api-reference/files/delete)\n * endpoint.\n */\n delete(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Attach a file to the given vector store and wait for it to be processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const file = await this.create(vectorStoreId, body, options);\n return await this.poll(vectorStoreId, file.id, options);\n }\n /**\n * Wait for the vector store file to finish processing.\n *\n * Note: this will return even if the file failed to process, you need to check\n * file.last_error and file.status to handle these cases\n */\n async poll(vectorStoreID, fileID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const fileResponse = await this.retrieve(fileID, {\n vector_store_id: vectorStoreID,\n }, { ...options, headers }).withResponse();\n const file = fileResponse.data;\n switch (file.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'completed':\n return file;\n }\n }\n }\n /**\n * Upload a file to the `files` API and then attach it to the given vector store.\n *\n * Note the file will be asynchronously processed (you can use the alternative\n * polling helper method to wait for processing to complete).\n */\n async upload(vectorStoreId, file, options) {\n const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);\n return this.create(vectorStoreId, { file_id: fileInfo.id }, options);\n }\n /**\n * Add a file to a vector store and poll until processing is complete.\n */\n async uploadAndPoll(vectorStoreId, file, options) {\n const fileInfo = await this.upload(vectorStoreId, file, options);\n return await this.poll(vectorStoreId, fileInfo.id, options);\n }\n /**\n * Retrieve the parsed contents of a vector store file.\n */\n content(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FileBatchesAPI from \"./file-batches.mjs\";\nimport { FileBatches, } from \"./file-batches.mjs\";\nimport * as FilesAPI from \"./files.mjs\";\nimport { Files, } from \"./files.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class VectorStores extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n this.fileBatches = new FileBatchesAPI.FileBatches(this._client);\n }\n /**\n * Create a vector store.\n */\n create(body, options) {\n return this._client.post('/vector_stores', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store.\n */\n retrieve(vectorStoreID, options) {\n return this._client.get(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a vector store.\n */\n update(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector stores.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/vector_stores', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store.\n */\n delete(vectorStoreID, options) {\n return this._client.delete(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Search a vector store for relevant chunks based on a query and file attributes\n * filter.\n */\n search(vectorStoreID, body, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/search`, (Page), {\n body,\n method: 'post',\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\nVectorStores.Files = Files;\nVectorStores.FileBatches = FileBatches;\n//# sourceMappingURL=vector-stores.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _Webhooks_instances, _Webhooks_validateSecret, _Webhooks_getRequiredHeader;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { InvalidWebhookSignatureError } from \"../error.mjs\";\nimport { APIResource } from \"../core/resource.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nexport class Webhooks extends APIResource {\n constructor() {\n super(...arguments);\n _Webhooks_instances.add(this);\n }\n /**\n * Validates that the given payload was sent by OpenAI and parses the payload.\n */\n async unwrap(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n await this.verifySignature(payload, headers, secret, tolerance);\n return JSON.parse(payload);\n }\n /**\n * Validates whether or not the webhook payload was sent by OpenAI.\n *\n * An error will be raised if the webhook payload was not sent by OpenAI.\n *\n * @param payload - The webhook payload\n * @param headers - The webhook headers\n * @param secret - The webhook secret (optional, will use client secret if not provided)\n * @param tolerance - Maximum age of the webhook in seconds (default: 300 = 5 minutes)\n */\n async verifySignature(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n if (typeof crypto === 'undefined' ||\n typeof crypto.subtle.importKey !== 'function' ||\n typeof crypto.subtle.verify !== 'function') {\n throw new Error('Webhook signature verification is only supported when the `crypto` global is defined');\n }\n __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_validateSecret).call(this, secret);\n const headersObj = buildHeaders([headers]).values;\n const signatureHeader = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-signature');\n const timestamp = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-timestamp');\n const webhookId = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-id');\n // Validate timestamp to prevent replay attacks\n const timestampSeconds = parseInt(timestamp, 10);\n if (isNaN(timestampSeconds)) {\n throw new InvalidWebhookSignatureError('Invalid webhook timestamp format');\n }\n const nowSeconds = Math.floor(Date.now() / 1000);\n if (nowSeconds - timestampSeconds > tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too old');\n }\n if (timestampSeconds > nowSeconds + tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too new');\n }\n // Extract signatures from v1, format\n // The signature header can have multiple values, separated by spaces.\n // Each value is in the format v1,. We should accept if any match.\n const signatures = signatureHeader\n .split(' ')\n .map((part) => (part.startsWith('v1,') ? part.substring(3) : part));\n // Decode the secret if it starts with whsec_\n const decodedSecret = secret.startsWith('whsec_') ?\n Buffer.from(secret.replace('whsec_', ''), 'base64')\n : Buffer.from(secret, 'utf-8');\n // Create the signed payload: {webhook_id}.{timestamp}.{payload}\n const signedPayload = webhookId ? `${webhookId}.${timestamp}.${payload}` : `${timestamp}.${payload}`;\n // Import the secret as a cryptographic key for HMAC\n const key = await crypto.subtle.importKey('raw', decodedSecret, { name: 'HMAC', hash: 'SHA-256' }, false, ['verify']);\n // Check if any signature matches using timing-safe WebCrypto verify\n for (const signature of signatures) {\n try {\n const signatureBytes = Buffer.from(signature, 'base64');\n const isValid = await crypto.subtle.verify('HMAC', key, signatureBytes, new TextEncoder().encode(signedPayload));\n if (isValid) {\n return; // Valid signature found\n }\n }\n catch {\n // Invalid base64 or signature format, continue to next signature\n continue;\n }\n }\n throw new InvalidWebhookSignatureError('The given webhook signature does not match the expected signature');\n }\n}\n_Webhooks_instances = new WeakSet(), _Webhooks_validateSecret = function _Webhooks_validateSecret(secret) {\n if (typeof secret !== 'string' || secret.length === 0) {\n throw new Error(`The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function`);\n }\n}, _Webhooks_getRequiredHeader = function _Webhooks_getRequiredHeader(headers, name) {\n if (!headers) {\n throw new Error(`Headers are required`);\n }\n const value = headers.get(name);\n if (value === null || value === undefined) {\n throw new Error(`Missing required header: ${name}`);\n }\n return value;\n};\n//# sourceMappingURL=webhooks.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _OpenAI_instances, _a, _OpenAI_encoder, _OpenAI_baseURLOverridden;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"./internal/tslib.mjs\";\nimport { uuid4 } from \"./internal/utils/uuid.mjs\";\nimport { validatePositiveInteger, isAbsoluteURL, safeJSON } from \"./internal/utils/values.mjs\";\nimport { sleep } from \"./internal/utils/sleep.mjs\";\nimport { castToError, isAbortError } from \"./internal/errors.mjs\";\nimport { getPlatformHeaders } from \"./internal/detect-platform.mjs\";\nimport * as Shims from \"./internal/shims.mjs\";\nimport * as Opts from \"./internal/request-options.mjs\";\nimport * as qs from \"./internal/qs/index.mjs\";\nimport { VERSION } from \"./version.mjs\";\nimport * as Errors from \"./core/error.mjs\";\nimport * as Pagination from \"./core/pagination.mjs\";\nimport * as Uploads from \"./core/uploads.mjs\";\nimport * as API from \"./resources/index.mjs\";\nimport { APIPromise } from \"./core/api-promise.mjs\";\nimport { Batches, } from \"./resources/batches.mjs\";\nimport { Completions, } from \"./resources/completions.mjs\";\nimport { Embeddings, } from \"./resources/embeddings.mjs\";\nimport { Files, } from \"./resources/files.mjs\";\nimport { Images, } from \"./resources/images.mjs\";\nimport { Models } from \"./resources/models.mjs\";\nimport { Moderations, } from \"./resources/moderations.mjs\";\nimport { Webhooks } from \"./resources/webhooks.mjs\";\nimport { Audio } from \"./resources/audio/audio.mjs\";\nimport { Beta } from \"./resources/beta/beta.mjs\";\nimport { Chat } from \"./resources/chat/chat.mjs\";\nimport { Containers, } from \"./resources/containers/containers.mjs\";\nimport { Conversations } from \"./resources/conversations/conversations.mjs\";\nimport { Evals, } from \"./resources/evals/evals.mjs\";\nimport { FineTuning } from \"./resources/fine-tuning/fine-tuning.mjs\";\nimport { Graders } from \"./resources/graders/graders.mjs\";\nimport { Responses } from \"./resources/responses/responses.mjs\";\nimport { Uploads as UploadsAPIUploads, } from \"./resources/uploads/uploads.mjs\";\nimport { VectorStores, } from \"./resources/vector-stores/vector-stores.mjs\";\nimport { isRunningInBrowser } from \"./internal/detect-platform.mjs\";\nimport { buildHeaders } from \"./internal/headers.mjs\";\nimport { readEnv } from \"./internal/utils/env.mjs\";\nimport { formatRequestDetails, loggerFor, parseLogLevel, } from \"./internal/utils/log.mjs\";\nimport { isEmptyObj } from \"./internal/utils/values.mjs\";\n/**\n * API Client for interfacing with the OpenAI API.\n */\nexport class OpenAI {\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined]\n * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null]\n * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null]\n * @param {string | null | undefined} [opts.webhookSecret=process.env['OPENAI_WEBHOOK_SECRET'] ?? null]\n * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.\n * @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Record} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n */\n constructor({ baseURL = readEnv('OPENAI_BASE_URL'), apiKey = readEnv('OPENAI_API_KEY'), organization = readEnv('OPENAI_ORG_ID') ?? null, project = readEnv('OPENAI_PROJECT_ID') ?? null, webhookSecret = readEnv('OPENAI_WEBHOOK_SECRET') ?? null, ...opts } = {}) {\n _OpenAI_instances.add(this);\n _OpenAI_encoder.set(this, void 0);\n this.completions = new API.Completions(this);\n this.chat = new API.Chat(this);\n this.embeddings = new API.Embeddings(this);\n this.files = new API.Files(this);\n this.images = new API.Images(this);\n this.audio = new API.Audio(this);\n this.moderations = new API.Moderations(this);\n this.models = new API.Models(this);\n this.fineTuning = new API.FineTuning(this);\n this.graders = new API.Graders(this);\n this.vectorStores = new API.VectorStores(this);\n this.webhooks = new API.Webhooks(this);\n this.beta = new API.Beta(this);\n this.batches = new API.Batches(this);\n this.uploads = new API.Uploads(this);\n this.responses = new API.Responses(this);\n this.conversations = new API.Conversations(this);\n this.evals = new API.Evals(this);\n this.containers = new API.Containers(this);\n if (apiKey === undefined) {\n throw new Errors.OpenAIError(\"The OPENAI_API_KEY environment variable is missing or empty; either provide it, or instantiate the OpenAI client with an apiKey option, like new OpenAI({ apiKey: 'My API Key' }).\");\n }\n const options = {\n apiKey,\n organization,\n project,\n webhookSecret,\n ...opts,\n baseURL: baseURL || `https://api.openai.com/v1`,\n };\n if (!options.dangerouslyAllowBrowser && isRunningInBrowser()) {\n throw new Errors.OpenAIError(\"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\");\n }\n this.baseURL = options.baseURL;\n this.timeout = options.timeout ?? _a.DEFAULT_TIMEOUT /* 10 minutes */;\n this.logger = options.logger ?? console;\n const defaultLogLevel = 'warn';\n // Set default logLevel early so that we can log a warning in parseLogLevel.\n this.logLevel = defaultLogLevel;\n this.logLevel =\n parseLogLevel(options.logLevel, 'ClientOptions.logLevel', this) ??\n parseLogLevel(readEnv('OPENAI_LOG'), \"process.env['OPENAI_LOG']\", this) ??\n defaultLogLevel;\n this.fetchOptions = options.fetchOptions;\n this.maxRetries = options.maxRetries ?? 2;\n this.fetch = options.fetch ?? Shims.getDefaultFetch();\n __classPrivateFieldSet(this, _OpenAI_encoder, Opts.FallbackEncoder, \"f\");\n this._options = options;\n this.apiKey = apiKey;\n this.organization = organization;\n this.project = project;\n this.webhookSecret = webhookSecret;\n }\n /**\n * Create a new client instance re-using the same options given to the current client with optional overriding.\n */\n withOptions(options) {\n const client = new this.constructor({\n ...this._options,\n baseURL: this.baseURL,\n maxRetries: this.maxRetries,\n timeout: this.timeout,\n logger: this.logger,\n logLevel: this.logLevel,\n fetch: this.fetch,\n fetchOptions: this.fetchOptions,\n apiKey: this.apiKey,\n organization: this.organization,\n project: this.project,\n webhookSecret: this.webhookSecret,\n ...options,\n });\n return client;\n }\n defaultQuery() {\n return this._options.defaultQuery;\n }\n validateHeaders({ values, nulls }) {\n return;\n }\n async authHeaders(opts) {\n return buildHeaders([{ Authorization: `Bearer ${this.apiKey}` }]);\n }\n stringifyQuery(query) {\n return qs.stringify(query, { arrayFormat: 'brackets' });\n }\n getUserAgent() {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n defaultIdempotencyKey() {\n return `stainless-node-retry-${uuid4()}`;\n }\n makeStatusError(status, error, message, headers) {\n return Errors.APIError.generate(status, error, message, headers);\n }\n buildURL(path, query, defaultBaseURL) {\n const baseURL = (!__classPrivateFieldGet(this, _OpenAI_instances, \"m\", _OpenAI_baseURLOverridden).call(this) && defaultBaseURL) || this.baseURL;\n const url = isAbsoluteURL(path) ?\n new URL(path)\n : new URL(baseURL + (baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query };\n }\n if (typeof query === 'object' && query && !Array.isArray(query)) {\n url.search = this.stringifyQuery(query);\n }\n return url.toString();\n }\n /**\n * Used as a callback for mutating the given `FinalRequestOptions` object.\n */\n async prepareOptions(options) { }\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n async prepareRequest(request, { url, options }) { }\n get(path, opts) {\n return this.methodRequest('get', path, opts);\n }\n post(path, opts) {\n return this.methodRequest('post', path, opts);\n }\n patch(path, opts) {\n return this.methodRequest('patch', path, opts);\n }\n put(path, opts) {\n return this.methodRequest('put', path, opts);\n }\n delete(path, opts) {\n return this.methodRequest('delete', path, opts);\n }\n methodRequest(method, path, opts) {\n return this.request(Promise.resolve(opts).then((opts) => {\n return { method, path, ...opts };\n }));\n }\n request(options, remainingRetries = null) {\n return new APIPromise(this, this.makeRequest(options, remainingRetries, undefined));\n }\n async makeRequest(optionsInput, retriesRemaining, retryOfRequestLogID) {\n const options = await optionsInput;\n const maxRetries = options.maxRetries ?? this.maxRetries;\n if (retriesRemaining == null) {\n retriesRemaining = maxRetries;\n }\n await this.prepareOptions(options);\n const { req, url, timeout } = await this.buildRequest(options, {\n retryCount: maxRetries - retriesRemaining,\n });\n await this.prepareRequest(req, { url, options });\n /** Not an API request ID, just for correlating local log entries. */\n const requestLogID = 'log_' + ((Math.random() * (1 << 24)) | 0).toString(16).padStart(6, '0');\n const retryLogStr = retryOfRequestLogID === undefined ? '' : `, retryOf: ${retryOfRequestLogID}`;\n const startTime = Date.now();\n loggerFor(this).debug(`[${requestLogID}] sending request`, formatRequestDetails({\n retryOfRequestLogID,\n method: options.method,\n url,\n options,\n headers: req.headers,\n }));\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n const headersTime = Date.now();\n if (response instanceof Error) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n // detect native connection timeout errors\n // deno throws \"TypeError: error sending request for url (https://example/): client error (Connect): tcp connect error: Operation timed out (os error 60): Operation timed out (os error 60)\"\n // undici throws \"TypeError: fetch failed\" with cause \"ConnectTimeoutError: Connect Timeout Error (attempted address: example:443, timeout: 1ms)\"\n // others do not provide enough information to distinguish timeouts from other connection errors\n const isTimeout = isAbortError(response) ||\n /timed? ?out/i.test(String(response) + ('cause' in response ? String(response.cause) : ''));\n if (retriesRemaining) {\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID);\n }\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - error; no more retries left`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (error; no more retries left)`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n if (isTimeout) {\n throw new Errors.APIConnectionTimeoutError();\n }\n throw new Errors.APIConnectionError({ cause: response });\n }\n const specialHeaders = [...response.headers.entries()]\n .filter(([name]) => name === 'x-request-id')\n .map(([name, value]) => ', ' + name + ': ' + JSON.stringify(value))\n .join('');\n const responseInfo = `[${requestLogID}${retryLogStr}${specialHeaders}] ${req.method} ${url} ${response.ok ? 'succeeded' : 'failed'} with status ${response.status} in ${headersTime - startTime}ms`;\n if (!response.ok) {\n const shouldRetry = await this.shouldRetry(response);\n if (retriesRemaining && shouldRetry) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n // We don't need the body of this response.\n await Shims.CancelReadableStream(response.body);\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID, response.headers);\n }\n const retryMessage = shouldRetry ? `error; no more retries left` : `error; not retryable`;\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n const errText = await response.text().catch((err) => castToError(err).message);\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n message: errMessage,\n durationMs: Date.now() - startTime,\n }));\n const err = this.makeStatusError(response.status, errJSON, errMessage, response.headers);\n throw err;\n }\n loggerFor(this).info(responseInfo);\n loggerFor(this).debug(`[${requestLogID}] response start`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return { response, options, controller, requestLogID, retryOfRequestLogID, startTime };\n }\n getAPIList(path, Page, opts) {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n requestAPIList(Page, options) {\n const request = this.makeRequest(options, null, undefined);\n return new Pagination.PagePromise(this, request, Page);\n }\n async fetchWithTimeout(url, init, ms, controller) {\n const { signal, method, ...options } = init || {};\n if (signal)\n signal.addEventListener('abort', () => controller.abort());\n const timeout = setTimeout(() => controller.abort(), ms);\n const isReadableBody = (globalThis.ReadableStream && options.body instanceof globalThis.ReadableStream) ||\n (typeof options.body === 'object' && options.body !== null && Symbol.asyncIterator in options.body);\n const fetchOptions = {\n signal: controller.signal,\n ...(isReadableBody ? { duplex: 'half' } : {}),\n method: 'GET',\n ...options,\n };\n if (method) {\n // Custom methods like 'patch' need to be uppercased\n // See https://github.com/nodejs/undici/issues/2294\n fetchOptions.method = method.toUpperCase();\n }\n try {\n // use undefined this binding; fetch errors if bound to something else in browser/cloudflare\n return await this.fetch.call(undefined, url, fetchOptions);\n }\n finally {\n clearTimeout(timeout);\n }\n }\n async shouldRetry(response) {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true')\n return true;\n if (shouldRetryHeader === 'false')\n return false;\n // Retry on request timeouts.\n if (response.status === 408)\n return true;\n // Retry on lock timeouts.\n if (response.status === 409)\n return true;\n // Retry on rate limits.\n if (response.status === 429)\n return true;\n // Retry internal errors.\n if (response.status >= 500)\n return true;\n return false;\n }\n async retryRequest(options, retriesRemaining, requestLogID, responseHeaders) {\n let timeoutMillis;\n // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.\n const retryAfterMillisHeader = responseHeaders?.get('retry-after-ms');\n if (retryAfterMillisHeader) {\n const timeoutMs = parseFloat(retryAfterMillisHeader);\n if (!Number.isNaN(timeoutMs)) {\n timeoutMillis = timeoutMs;\n }\n }\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n const retryAfterHeader = responseHeaders?.get('retry-after');\n if (retryAfterHeader && !timeoutMillis) {\n const timeoutSeconds = parseFloat(retryAfterHeader);\n if (!Number.isNaN(timeoutSeconds)) {\n timeoutMillis = timeoutSeconds * 1000;\n }\n else {\n timeoutMillis = Date.parse(retryAfterHeader) - Date.now();\n }\n }\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says, but otherwise calculate a default\n if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) {\n const maxRetries = options.maxRetries ?? this.maxRetries;\n timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries);\n }\n await sleep(timeoutMillis);\n return this.makeRequest(options, retriesRemaining - 1, requestLogID);\n }\n calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries) {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 8.0;\n const numRetries = maxRetries - retriesRemaining;\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay);\n // Apply some jitter, take up to at most 25 percent of the retry time.\n const jitter = 1 - Math.random() * 0.25;\n return sleepSeconds * jitter * 1000;\n }\n async buildRequest(inputOptions, { retryCount = 0 } = {}) {\n const options = { ...inputOptions };\n const { method, path, query, defaultBaseURL } = options;\n const url = this.buildURL(path, query, defaultBaseURL);\n if ('timeout' in options)\n validatePositiveInteger('timeout', options.timeout);\n options.timeout = options.timeout ?? this.timeout;\n const { bodyHeaders, body } = this.buildBody({ options });\n const reqHeaders = await this.buildHeaders({ options: inputOptions, method, bodyHeaders, retryCount });\n const req = {\n method,\n headers: reqHeaders,\n ...(options.signal && { signal: options.signal }),\n ...(globalThis.ReadableStream &&\n body instanceof globalThis.ReadableStream && { duplex: 'half' }),\n ...(body && { body }),\n ...(this.fetchOptions ?? {}),\n ...(options.fetchOptions ?? {}),\n };\n return { req, url, timeout: options.timeout };\n }\n async buildHeaders({ options, method, bodyHeaders, retryCount, }) {\n let idempotencyHeaders = {};\n if (this.idempotencyHeader && method !== 'get') {\n if (!options.idempotencyKey)\n options.idempotencyKey = this.defaultIdempotencyKey();\n idempotencyHeaders[this.idempotencyHeader] = options.idempotencyKey;\n }\n const headers = buildHeaders([\n idempotencyHeaders,\n {\n Accept: 'application/json',\n 'User-Agent': this.getUserAgent(),\n 'X-Stainless-Retry-Count': String(retryCount),\n ...(options.timeout ? { 'X-Stainless-Timeout': String(Math.trunc(options.timeout / 1000)) } : {}),\n ...getPlatformHeaders(),\n 'OpenAI-Organization': this.organization,\n 'OpenAI-Project': this.project,\n },\n await this.authHeaders(options),\n this._options.defaultHeaders,\n bodyHeaders,\n options.headers,\n ]);\n this.validateHeaders(headers);\n return headers.values;\n }\n buildBody({ options: { body, headers: rawHeaders } }) {\n if (!body) {\n return { bodyHeaders: undefined, body: undefined };\n }\n const headers = buildHeaders([rawHeaders]);\n if (\n // Pass raw type verbatim\n ArrayBuffer.isView(body) ||\n body instanceof ArrayBuffer ||\n body instanceof DataView ||\n (typeof body === 'string' &&\n // Preserve legacy string encoding behavior for now\n headers.values.has('content-type')) ||\n // `Blob` is superset of `File`\n body instanceof Blob ||\n // `FormData` -> `multipart/form-data`\n body instanceof FormData ||\n // `URLSearchParams` -> `application/x-www-form-urlencoded`\n body instanceof URLSearchParams ||\n // Send chunked stream (each chunk has own `length`)\n (globalThis.ReadableStream && body instanceof globalThis.ReadableStream)) {\n return { bodyHeaders: undefined, body: body };\n }\n else if (typeof body === 'object' &&\n (Symbol.asyncIterator in body ||\n (Symbol.iterator in body && 'next' in body && typeof body.next === 'function'))) {\n return { bodyHeaders: undefined, body: Shims.ReadableStreamFrom(body) };\n }\n else {\n return __classPrivateFieldGet(this, _OpenAI_encoder, \"f\").call(this, { body, headers });\n }\n }\n}\n_a = OpenAI, _OpenAI_encoder = new WeakMap(), _OpenAI_instances = new WeakSet(), _OpenAI_baseURLOverridden = function _OpenAI_baseURLOverridden() {\n return this.baseURL !== 'https://api.openai.com/v1';\n};\nOpenAI.OpenAI = _a;\nOpenAI.DEFAULT_TIMEOUT = 600000; // 10 minutes\nOpenAI.OpenAIError = Errors.OpenAIError;\nOpenAI.APIError = 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\"\\x1b[49m\"),\n\t\tbgRedBright: f(\"\\x1b[101m\", \"\\x1b[49m\"),\n\t\tbgGreenBright: f(\"\\x1b[102m\", \"\\x1b[49m\"),\n\t\tbgYellowBright: f(\"\\x1b[103m\", \"\\x1b[49m\"),\n\t\tbgBlueBright: f(\"\\x1b[104m\", \"\\x1b[49m\"),\n\t\tbgMagentaBright: f(\"\\x1b[105m\", \"\\x1b[49m\"),\n\t\tbgCyanBright: f(\"\\x1b[106m\", \"\\x1b[49m\"),\n\t\tbgWhiteBright: f(\"\\x1b[107m\", \"\\x1b[49m\"),\n\t}\n}\n\nmodule.exports = createColors()\nmodule.exports.createColors = 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