{"version":3,"file":"index.mjs","sources":["../src/_base_url.ts","../src/_common.ts","../src/_base_transformers.ts","../src/converters/_operations_converters.ts","../src/types.ts","../src/_transformers.ts","../src/converters/_batches_converters.ts","../src/pagers.ts","../src/batches.ts","../src/converters/_caches_converters.ts","../src/caches.ts","../src/chats.ts","../src/converters/_filesearchstores_converters.ts","../src/errors.ts","../src/_api_client.ts","../src/cross/_cross_error.ts","../src/cross/_cross_downloader.ts","../src/cross/_cross_uploader.ts","../src/cross/_cross_websocket.ts","../src/converters/_files_converters.ts","../src/files.ts","../src/converters/_documents_converters.ts","../src/documents.ts","../src/filesearchstores.ts","../src/gaos/lib/env.ts","../src/gaos/hooks/google-genai-auth.ts","../src/gaos/models/errors/http-client-errors.ts","../src/gaos/models/errors/google-gen-ai-error.ts","../src/gaos/lib/compat-errors.ts","../src/gaos/hooks/registration.ts","../src/gaos/hooks/hooks.ts","../src/gaos/types/fp.ts","../src/gaos/lib/base64.ts","../src/gaos/lib/url.ts","../src/gaos/lib/config.ts","../src/gaos/lib/primitives.ts","../src/gaos/lib/encodings.ts","../src/gaos/lib/http.ts","../src/gaos/lib/retries.ts","../src/gaos/lib/sdks.ts","../src/gaos/models/errors/google-gen-ai-default-error.ts","../src/gaos/lib/event-streams.ts","../src/gaos/lib/matchers.ts","../src/gaos/lib/security.ts","../src/gaos/types/async.ts","../src/gaos/funcs/agents-create.ts","../src/gaos/funcs/agents-delete.ts","../src/gaos/funcs/agents-get.ts","../src/gaos/funcs/agents-list.ts","../src/gaos/sdk/agents.ts","../src/gaos/models/errors/cancel-interaction-by-id.ts","../src/gaos/models/errors/create-interaction.ts","../src/gaos/models/errors/delete-interaction.ts","../src/gaos/models/errors/get-interaction-by-id.ts","../src/gaos/funcs/interactions-cancel.ts","../src/gaos/funcs/interactions-create.ts","../src/gaos/funcs/interactions-delete.ts","../src/gaos/funcs/interactions-get.ts","../src/gaos/sdk/interactions.ts","../src/gaos/funcs/webhooks-create.ts","../src/gaos/funcs/webhooks-delete.ts","../src/gaos/funcs/webhooks-get.ts","../src/gaos/funcs/webhooks-list.ts","../src/gaos/funcs/webhooks-ping.ts","../src/gaos/funcs/webhooks-rotate-signing-secret.ts","../src/gaos/funcs/webhooks-update.ts","../src/gaos/sdk/webhooks.ts","../src/gaos/sdk/sdk.ts","../src/gaos/google-genai.ts","../src/converters/_live_converters.ts","../src/converters/_models_converters.ts","../src/mcp/_mcp.ts","../src/music.ts","../src/live.ts","../src/_afc.ts","../src/models.ts","../src/operations.ts","../src/converters/_tokens_converters.ts","../src/tokens.ts","../src/converters/_tunings_converters.ts","../src/tunings.ts","../src/web/_web_auth.ts","../src/client.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {HttpOptions} from './types.js';\n\nlet _defaultBaseGeminiUrl: string | undefined = undefined;\nlet _defaultBaseVertexUrl: string | undefined = undefined;\n\n/**\n * Parameters for setting the base URLs for the Gemini API and Vertex AI API.\n */\nexport interface BaseUrlParameters {\n  geminiUrl?: string;\n  vertexUrl?: string;\n}\n\n/**\n * Overrides the base URLs for the Gemini API and Vertex AI API.\n *\n * @remarks This function should be called before initializing the SDK. If the\n * base URLs are set after initializing the SDK, the base URLs will not be\n * updated. Base URLs provided in the HttpOptions will also take precedence over\n * URLs set here.\n *\n * @example\n * ```ts\n * import {GoogleGenAI, setDefaultBaseUrls} from '@google/genai';\n * // Override the base URL for the Gemini API.\n * setDefaultBaseUrls({geminiUrl:'https://gemini.google.com'});\n *\n * // Override the base URL for the Vertex AI API.\n * setDefaultBaseUrls({vertexUrl: 'https://vertexai.googleapis.com'});\n *\n * const ai = new GoogleGenAI({apiKey: 'GEMINI_API_KEY'});\n * ```\n */\nexport function setDefaultBaseUrls(baseUrlParams: BaseUrlParameters) {\n  _defaultBaseGeminiUrl = baseUrlParams.geminiUrl;\n  _defaultBaseVertexUrl = baseUrlParams.vertexUrl;\n}\n\n/**\n * Returns the default base URLs for the Gemini API and Vertex AI API.\n */\nexport function getDefaultBaseUrls(): BaseUrlParameters {\n  return {\n    geminiUrl: _defaultBaseGeminiUrl,\n    vertexUrl: _defaultBaseVertexUrl,\n  };\n}\n\n/**\n * Returns the default base URL based on the following priority:\n *   1. Base URLs set via HttpOptions.\n *   2. Base URLs set via the latest call to setDefaultBaseUrls.\n *   3. Base URLs set via environment variables.\n */\nexport function getBaseUrl(\n  httpOptions: HttpOptions | undefined,\n  vertexai: boolean | undefined,\n  vertexBaseUrlFromEnv: string | undefined,\n  geminiBaseUrlFromEnv: string | undefined,\n): string | undefined {\n  if (!httpOptions?.baseUrl) {\n    const defaultBaseUrls = getDefaultBaseUrls();\n    if (vertexai) {\n      return defaultBaseUrls.vertexUrl ?? vertexBaseUrlFromEnv;\n    } else {\n      return defaultBaseUrls.geminiUrl ?? geminiBaseUrlFromEnv;\n    }\n  }\n\n  return httpOptions.baseUrl;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nexport class BaseModule {}\n\nexport function formatMap(\n  templateString: string,\n  valueMap: Record<string, unknown>,\n): string {\n  // Use a regular expression to find all placeholders in the template string\n  const regex = /\\{([^}]+)\\}/g;\n\n  // Replace each placeholder with its corresponding value from the valueMap\n  return templateString.replace(regex, (match, key) => {\n    if (Object.prototype.hasOwnProperty.call(valueMap, key)) {\n      const value = valueMap[key];\n      // Convert the value to a string if it's not a string already\n      return value !== undefined && value !== null ? String(value) : '';\n    } else {\n      // Handle missing keys\n      throw new Error(`Key '${key}' not found in valueMap.`);\n    }\n  });\n}\n\nexport function setValueByPath(\n  data: Record<string, unknown>,\n  keys: string[],\n  value: unknown,\n): void {\n  for (let i = 0; i < keys.length - 1; i++) {\n    const key = keys[i];\n\n    if (key.endsWith('[]')) {\n      const keyName = key.slice(0, -2);\n      if (!(keyName in data)) {\n        if (Array.isArray(value)) {\n          data[keyName] = Array.from({length: value.length}, () => ({}));\n        } else {\n          throw new Error(`Value must be a list given an array path ${key}`);\n        }\n      }\n\n      if (Array.isArray(data[keyName])) {\n        const arrayData = data[keyName] as Array<unknown>;\n\n        if (Array.isArray(value)) {\n          for (let j = 0; j < arrayData.length; j++) {\n            const entry = arrayData[j] as Record<string, unknown>;\n            setValueByPath(entry, keys.slice(i + 1), value[j]);\n          }\n        } else {\n          for (const d of arrayData) {\n            setValueByPath(\n              d as Record<string, unknown>,\n              keys.slice(i + 1),\n              value,\n            );\n          }\n        }\n      }\n      return;\n    } else if (key.endsWith('[0]')) {\n      const keyName = key.slice(0, -3);\n      if (!(keyName in data)) {\n        data[keyName] = [{}];\n      }\n      const arrayData = (data as Record<string, unknown>)[keyName];\n      setValueByPath(\n        (arrayData as Array<Record<string, unknown>>)[0],\n        keys.slice(i + 1),\n        value,\n      );\n      return;\n    }\n\n    if (!data[key] || typeof data[key] !== 'object') {\n      data[key] = {};\n    }\n\n    data = data[key] as Record<string, unknown>;\n  }\n\n  const keyToSet = keys[keys.length - 1];\n  const existingData = data[keyToSet];\n\n  if (existingData !== undefined) {\n    if (\n      !value ||\n      (typeof value === 'object' && Object.keys(value).length === 0)\n    ) {\n      return;\n    }\n\n    if (value === existingData) {\n      return;\n    }\n\n    if (\n      typeof existingData === 'object' &&\n      typeof value === 'object' &&\n      existingData !== null &&\n      value !== null\n    ) {\n      Object.assign(existingData, value);\n    } else {\n      throw new Error(`Cannot set value for an existing key. Key: ${keyToSet}`);\n    }\n  } else {\n    if (\n      keyToSet === '_self' &&\n      typeof value === 'object' &&\n      value !== null &&\n      !Array.isArray(value)\n    ) {\n      const valueAsRecord = value as Record<string, unknown>;\n\n      Object.assign(data, valueAsRecord);\n    } else {\n      data[keyToSet] = value;\n    }\n  }\n}\n\nexport function getValueByPath(\n  data: unknown,\n  keys: string[],\n  defaultValue: unknown = undefined,\n): unknown {\n  try {\n    if (keys.length === 1 && keys[0] === '_self') {\n      return data;\n    }\n\n    for (let i = 0; i < keys.length; i++) {\n      if (typeof data !== 'object' || data === null) {\n        return defaultValue;\n      }\n\n      const key = keys[i];\n      if (key.endsWith('[]')) {\n        const keyName = key.slice(0, -2);\n        if (keyName in data) {\n          const arrayData = (data as Record<string, unknown>)[keyName];\n          if (!Array.isArray(arrayData)) {\n            return defaultValue;\n          }\n          return arrayData.map((d) =>\n            getValueByPath(d, keys.slice(i + 1), defaultValue),\n          );\n        } else {\n          return defaultValue;\n        }\n      } else {\n        data = (data as Record<string, unknown>)[key];\n      }\n    }\n\n    return data;\n  } catch (error) {\n    if (error instanceof TypeError) {\n      return defaultValue;\n    }\n    throw error;\n  }\n}\n\n/**\n * Moves values from source paths to destination paths.\n *\n * Examples:\n *   moveValueByPath(\n *     {'requests': [{'content': v1}, {'content': v2}]},\n *     {'requests[].*': 'requests[].request.*'}\n *   )\n *     -> {'requests': [{'request': {'content': v1}}, {'request': {'content': v2}}]}\n */\nexport function moveValueByPath(\n  data: unknown,\n  paths: Record<string, string>,\n): void {\n  for (const [sourcePath, destPath] of Object.entries(paths)) {\n    const sourceKeys = sourcePath.split('.');\n    const destKeys = destPath.split('.');\n\n    // Determine keys to exclude from wildcard to avoid cyclic references\n    const excludeKeys = new Set<string>();\n    let wildcardIdx = -1;\n    for (let i = 0; i < sourceKeys.length; i++) {\n      if (sourceKeys[i] === '*') {\n        wildcardIdx = i;\n        break;\n      }\n    }\n\n    if (wildcardIdx !== -1 && destKeys.length > wildcardIdx) {\n      // Extract the intermediate key between source and dest paths\n      // Example: source=['requests[]', '*'], dest=['requests[]', 'request', '*']\n      // We want to exclude 'request'\n      for (let i = wildcardIdx; i < destKeys.length; i++) {\n        const key = destKeys[i];\n        if (key !== '*' && !key.endsWith('[]') && !key.endsWith('[0]')) {\n          excludeKeys.add(key);\n        }\n      }\n    }\n\n    _moveValueRecursive(data, sourceKeys, destKeys, 0, excludeKeys);\n  }\n}\n\n/**\n * Recursively moves values from source path to destination path.\n */\nfunction _moveValueRecursive(\n  data: unknown,\n  sourceKeys: string[],\n  destKeys: string[],\n  keyIdx: number,\n  excludeKeys: Set<string>,\n): void {\n  if (keyIdx >= sourceKeys.length) {\n    return;\n  }\n\n  if (typeof data !== 'object' || data === null) {\n    return;\n  }\n\n  const key = sourceKeys[keyIdx];\n\n  if (key.endsWith('[]')) {\n    const keyName = key.slice(0, -2);\n    const dataRecord = data as Record<string, unknown>;\n    if (keyName in dataRecord && Array.isArray(dataRecord[keyName])) {\n      for (const item of dataRecord[keyName] as Array<unknown>) {\n        _moveValueRecursive(\n          item,\n          sourceKeys,\n          destKeys,\n          keyIdx + 1,\n          excludeKeys,\n        );\n      }\n    }\n  } else if (key === '*') {\n    // wildcard - move all fields\n    if (typeof data === 'object' && data !== null && !Array.isArray(data)) {\n      const dataRecord = data as Record<string, unknown>;\n      const keysToMove = Object.keys(dataRecord).filter(\n        (k) => !k.startsWith('_') && !excludeKeys.has(k),\n      );\n\n      const valuesToMove: Record<string, unknown> = {};\n      for (const k of keysToMove) {\n        valuesToMove[k] = dataRecord[k];\n      }\n\n      // Set values at destination\n      for (const [k, v] of Object.entries(valuesToMove)) {\n        const newDestKeys: string[] = [];\n        for (const dk of destKeys.slice(keyIdx)) {\n          if (dk === '*') {\n            newDestKeys.push(k);\n          } else {\n            newDestKeys.push(dk);\n          }\n        }\n        setValueByPath(dataRecord, newDestKeys, v);\n      }\n\n      for (const k of keysToMove) {\n        delete dataRecord[k];\n      }\n    }\n  } else {\n    // Navigate to next level\n    const dataRecord = data as Record<string, unknown>;\n    if (key in dataRecord) {\n      _moveValueRecursive(\n        dataRecord[key],\n        sourceKeys,\n        destKeys,\n        keyIdx + 1,\n        excludeKeys,\n      );\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nexport function tBytes(fromBytes: string | unknown): string {\n  if (typeof fromBytes !== 'string') {\n    throw new Error('fromImageBytes must be a string');\n  }\n  // TODO(b/389133914): Remove dummy bytes converter.\n  return fromBytes;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport * as t from '../_base_transformers.js';\nimport * as common from '../_common.js';\nimport type * as types from '../types.js';\n\nexport function fetchPredictOperationParametersToMldev(\n  fromObject: types.FetchPredictOperationParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['operationName']) !== undefined) {\n    throw new Error(\n      'operationName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['resourceName']) !== undefined) {\n    throw new Error(\n      'resourceName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['config']) !== undefined) {\n    throw new Error(\n      'config parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function fetchPredictOperationParametersToVertex(\n  fromObject: types.FetchPredictOperationParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOperationName = common.getValueByPath(fromObject, [\n    'operationName',\n  ]);\n  if (fromOperationName != null) {\n    common.setValueByPath(toObject, ['operationName'], fromOperationName);\n  }\n\n  const fromResourceName = common.getValueByPath(fromObject, ['resourceName']);\n  if (fromResourceName != null) {\n    common.setValueByPath(toObject, ['_url', 'resourceName'], fromResourceName);\n  }\n\n  return toObject;\n}\n\nexport function generateVideosOperationFromMldev(\n  fromObject: types.GenerateVideosOperation,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, [\n    'response',\n    'generateVideoResponse',\n  ]);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      generateVideosResponseFromMldev(fromResponse),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosOperationFromVertex(\n  fromObject: types.GenerateVideosOperation,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      generateVideosResponseFromVertex(fromResponse),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosResponseFromMldev(\n  fromObject: types.GenerateVideosResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedVideos = common.getValueByPath(fromObject, [\n    'generatedSamples',\n  ]);\n  if (fromGeneratedVideos != null) {\n    let transformedList = fromGeneratedVideos;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedVideoFromMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedVideos'], transformedList);\n  }\n\n  const fromRaiMediaFilteredCount = common.getValueByPath(fromObject, [\n    'raiMediaFilteredCount',\n  ]);\n  if (fromRaiMediaFilteredCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredCount'],\n      fromRaiMediaFilteredCount,\n    );\n  }\n\n  const fromRaiMediaFilteredReasons = common.getValueByPath(fromObject, [\n    'raiMediaFilteredReasons',\n  ]);\n  if (fromRaiMediaFilteredReasons != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredReasons'],\n      fromRaiMediaFilteredReasons,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosResponseFromVertex(\n  fromObject: types.GenerateVideosResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedVideos = common.getValueByPath(fromObject, ['videos']);\n  if (fromGeneratedVideos != null) {\n    let transformedList = fromGeneratedVideos;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedVideoFromVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedVideos'], transformedList);\n  }\n\n  const fromRaiMediaFilteredCount = common.getValueByPath(fromObject, [\n    'raiMediaFilteredCount',\n  ]);\n  if (fromRaiMediaFilteredCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredCount'],\n      fromRaiMediaFilteredCount,\n    );\n  }\n\n  const fromRaiMediaFilteredReasons = common.getValueByPath(fromObject, [\n    'raiMediaFilteredReasons',\n  ]);\n  if (fromRaiMediaFilteredReasons != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredReasons'],\n      fromRaiMediaFilteredReasons,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generatedVideoFromMldev(\n  fromObject: types.GeneratedVideo,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(toObject, ['video'], videoFromMldev(fromVideo));\n  }\n\n  return toObject;\n}\n\nexport function generatedVideoFromVertex(\n  fromObject: types.GeneratedVideo,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVideo = common.getValueByPath(fromObject, ['_self']);\n  if (fromVideo != null) {\n    common.setValueByPath(toObject, ['video'], videoFromVertex(fromVideo));\n  }\n\n  return toObject;\n}\n\nexport function getOperationParametersToMldev(\n  fromObject: types.GetOperationParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOperationName = common.getValueByPath(fromObject, [\n    'operationName',\n  ]);\n  if (fromOperationName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'operationName'],\n      fromOperationName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function getOperationParametersToVertex(\n  fromObject: types.GetOperationParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOperationName = common.getValueByPath(fromObject, [\n    'operationName',\n  ]);\n  if (fromOperationName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'operationName'],\n      fromOperationName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function importFileOperationFromMldev(\n  fromObject: types.ImportFileOperation,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      importFileResponseFromMldev(fromResponse),\n    );\n  }\n\n  return toObject;\n}\n\nexport function importFileResponseFromMldev(\n  fromObject: types.ImportFileResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromParent = common.getValueByPath(fromObject, ['parent']);\n  if (fromParent != null) {\n    common.setValueByPath(toObject, ['parent'], fromParent);\n  }\n\n  const fromDocumentName = common.getValueByPath(fromObject, ['documentName']);\n  if (fromDocumentName != null) {\n    common.setValueByPath(toObject, ['documentName'], fromDocumentName);\n  }\n\n  return toObject;\n}\n\nexport function uploadToFileSearchStoreOperationFromMldev(\n  fromObject: types.UploadToFileSearchStoreOperation,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      uploadToFileSearchStoreResponseFromMldev(fromResponse),\n    );\n  }\n\n  return toObject;\n}\n\nexport function uploadToFileSearchStoreResponseFromMldev(\n  fromObject: types.UploadToFileSearchStoreResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromParent = common.getValueByPath(fromObject, ['parent']);\n  if (fromParent != null) {\n    common.setValueByPath(toObject, ['parent'], fromParent);\n  }\n\n  const fromDocumentName = common.getValueByPath(fromObject, ['documentName']);\n  if (fromDocumentName != null) {\n    common.setValueByPath(toObject, ['documentName'], fromDocumentName);\n  }\n\n  return toObject;\n}\n\nexport function videoFromMldev(\n  fromObject: types.Video,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['uri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['uri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, ['encodedVideo']);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(toObject, ['videoBytes'], t.tBytes(fromVideoBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['encoding']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function videoFromVertex(\n  fromObject: types.Video,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['uri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, [\n    'bytesBase64Encoded',\n  ]);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(toObject, ['videoBytes'], t.tBytes(fromVideoBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport type {ReferenceImageAPIInternal} from './_internal_types.js';\nimport {\n  generateVideosOperationFromMldev,\n  generateVideosOperationFromVertex,\n  importFileOperationFromMldev,\n  uploadToFileSearchStoreOperationFromMldev,\n} from './converters/_operations_converters.js';\n\n/** Outcome of the code execution. */\nexport enum Outcome {\n  /**\n   * Unspecified status. This value should not be used.\n   */\n  OUTCOME_UNSPECIFIED = 'OUTCOME_UNSPECIFIED',\n  /**\n   * Code execution completed successfully. `output` contains the stdout, if any.\n   */\n  OUTCOME_OK = 'OUTCOME_OK',\n  /**\n   * Code execution failed. `output` contains the stderr and stdout, if any.\n   */\n  OUTCOME_FAILED = 'OUTCOME_FAILED',\n  /**\n   * Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present.\n   */\n  OUTCOME_DEADLINE_EXCEEDED = 'OUTCOME_DEADLINE_EXCEEDED',\n}\n\n/** Programming language of the `code`. */\nexport enum Language {\n  /**\n   * Unspecified language. This value should not be used.\n   */\n  LANGUAGE_UNSPECIFIED = 'LANGUAGE_UNSPECIFIED',\n  /**\n   * Python >= 3.10, with numpy and simpy available.\n   */\n  PYTHON = 'PYTHON',\n}\n\n/** Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. */\nexport enum FunctionResponseScheduling {\n  /**\n   * This value is unused.\n   */\n  SCHEDULING_UNSPECIFIED = 'SCHEDULING_UNSPECIFIED',\n  /**\n   * Only add the result to the conversation context, do not interrupt or trigger generation.\n   */\n  SILENT = 'SILENT',\n  /**\n   * Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.\n   */\n  WHEN_IDLE = 'WHEN_IDLE',\n  /**\n   * Add the result to the conversation context, interrupt ongoing generation and prompt to generate output.\n   */\n  INTERRUPT = 'INTERRUPT',\n}\n\n/** Data type of the schema field. */\nexport enum Type {\n  /**\n   * Not specified, should not be used.\n   */\n  TYPE_UNSPECIFIED = 'TYPE_UNSPECIFIED',\n  /**\n   * OpenAPI string type\n   */\n  STRING = 'STRING',\n  /**\n   * OpenAPI number type\n   */\n  NUMBER = 'NUMBER',\n  /**\n   * OpenAPI integer type\n   */\n  INTEGER = 'INTEGER',\n  /**\n   * OpenAPI boolean type\n   */\n  BOOLEAN = 'BOOLEAN',\n  /**\n   * OpenAPI array type\n   */\n  ARRAY = 'ARRAY',\n  /**\n   * OpenAPI object type\n   */\n  OBJECT = 'OBJECT',\n  /**\n   * Null type\n   */\n  NULL = 'NULL',\n}\n\n/** Type of auth scheme. This enum is not supported in Gemini API. */\nexport enum AuthType {\n  AUTH_TYPE_UNSPECIFIED = 'AUTH_TYPE_UNSPECIFIED',\n  /**\n   * No Auth.\n   */\n  NO_AUTH = 'NO_AUTH',\n  /**\n   * API Key Auth.\n   */\n  API_KEY_AUTH = 'API_KEY_AUTH',\n  /**\n   * HTTP Basic Auth.\n   */\n  HTTP_BASIC_AUTH = 'HTTP_BASIC_AUTH',\n  /**\n   * Google Service Account Auth.\n   */\n  GOOGLE_SERVICE_ACCOUNT_AUTH = 'GOOGLE_SERVICE_ACCOUNT_AUTH',\n  /**\n   * OAuth auth.\n   */\n  OAUTH = 'OAUTH',\n  /**\n   * OpenID Connect (OIDC) Auth.\n   */\n  OIDC_AUTH = 'OIDC_AUTH',\n}\n\n/** The location of the API key. This enum is not supported in Gemini API. */\nexport enum HttpElementLocation {\n  HTTP_IN_UNSPECIFIED = 'HTTP_IN_UNSPECIFIED',\n  /**\n   * Element is in the HTTP request query.\n   */\n  HTTP_IN_QUERY = 'HTTP_IN_QUERY',\n  /**\n   * Element is in the HTTP request header.\n   */\n  HTTP_IN_HEADER = 'HTTP_IN_HEADER',\n  /**\n   * Element is in the HTTP request path.\n   */\n  HTTP_IN_PATH = 'HTTP_IN_PATH',\n  /**\n   * Element is in the HTTP request body.\n   */\n  HTTP_IN_BODY = 'HTTP_IN_BODY',\n  /**\n   * Element is in the HTTP request cookie.\n   */\n  HTTP_IN_COOKIE = 'HTTP_IN_COOKIE',\n}\n\n/** The API spec that the external API implements. This enum is not supported in Gemini API. */\nexport enum ApiSpec {\n  /**\n   * Unspecified API spec. This value should not be used.\n   */\n  API_SPEC_UNSPECIFIED = 'API_SPEC_UNSPECIFIED',\n  /**\n   * Simple search API spec.\n   */\n  SIMPLE_SEARCH = 'SIMPLE_SEARCH',\n  /**\n   * Elastic search API spec.\n   */\n  ELASTIC_SEARCH = 'ELASTIC_SEARCH',\n}\n\n/** The environment being operated. */\nexport enum Environment {\n  /**\n   * Defaults to browser.\n   */\n  ENVIRONMENT_UNSPECIFIED = 'ENVIRONMENT_UNSPECIFIED',\n  /**\n   * Operates in a web browser.\n   */\n  ENVIRONMENT_BROWSER = 'ENVIRONMENT_BROWSER',\n  /**\n   * Operates in a mobile environment.\n   */\n  ENVIRONMENT_MOBILE = 'ENVIRONMENT_MOBILE',\n  /**\n   * Operates in a desktop environment.\n   */\n  ENVIRONMENT_DESKTOP = 'ENVIRONMENT_DESKTOP',\n}\n\n/** SafetyPolicy */\nexport enum SafetyPolicy {\n  /**\n   * Unspecified safety policy.\n   */\n  SAFETY_POLICY_UNSPECIFIED = 'SAFETY_POLICY_UNSPECIFIED',\n  /**\n   * Safety policy for financial transactions.\n   */\n  FINANCIAL_TRANSACTIONS = 'FINANCIAL_TRANSACTIONS',\n  /**\n   * Safety policy for sensitive data modification.\n   */\n  SENSITIVE_DATA_MODIFICATION = 'SENSITIVE_DATA_MODIFICATION',\n  /**\n   * Safety policy for communication tools (e.g. Gmail, Chat, Meet).\n   */\n  COMMUNICATION_TOOL = 'COMMUNICATION_TOOL',\n  /**\n   * Safety policy for account creation.\n   */\n  ACCOUNT_CREATION = 'ACCOUNT_CREATION',\n  /**\n   * Safety policy for data modification.\n   */\n  DATA_MODIFICATION = 'DATA_MODIFICATION',\n  /**\n   * Safety policy for user consent management.\n   */\n  USER_CONSENT_MANAGEMENT = 'USER_CONSENT_MANAGEMENT',\n  /**\n   * Safety policy for legal terms and agreements.\n   */\n  LEGAL_TERMS_AND_AGREEMENTS = 'LEGAL_TERMS_AND_AGREEMENTS',\n}\n\n/** Sites with confidence level chosen & above this value will be blocked from the search results. This enum is not supported in Gemini API. */\nexport enum PhishBlockThreshold {\n  /**\n   * Defaults to unspecified.\n   */\n  PHISH_BLOCK_THRESHOLD_UNSPECIFIED = 'PHISH_BLOCK_THRESHOLD_UNSPECIFIED',\n  /**\n   * Blocks Low and above confidence URL that is risky.\n   */\n  BLOCK_LOW_AND_ABOVE = 'BLOCK_LOW_AND_ABOVE',\n  /**\n   * Blocks Medium and above confidence URL that is risky.\n   */\n  BLOCK_MEDIUM_AND_ABOVE = 'BLOCK_MEDIUM_AND_ABOVE',\n  /**\n   * Blocks High and above confidence URL that is risky.\n   */\n  BLOCK_HIGH_AND_ABOVE = 'BLOCK_HIGH_AND_ABOVE',\n  /**\n   * Blocks Higher and above confidence URL that is risky.\n   */\n  BLOCK_HIGHER_AND_ABOVE = 'BLOCK_HIGHER_AND_ABOVE',\n  /**\n   * Blocks Very high and above confidence URL that is risky.\n   */\n  BLOCK_VERY_HIGH_AND_ABOVE = 'BLOCK_VERY_HIGH_AND_ABOVE',\n  /**\n   * Blocks Extremely high confidence URL that is risky.\n   */\n  BLOCK_ONLY_EXTREMELY_HIGH = 'BLOCK_ONLY_EXTREMELY_HIGH',\n}\n\n/** Specifies the function Behavior. If not specified, the system keeps the current function call behavior. This field is currently only supported by the BidiGenerateContent method. */\nexport enum Behavior {\n  /**\n   * This value is unspecified.\n   */\n  UNSPECIFIED = 'UNSPECIFIED',\n  /**\n   * If set, the system will wait to receive the function response before continuing the conversation.\n   */\n  BLOCKING = 'BLOCKING',\n  /**\n   * If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model.\n   */\n  NON_BLOCKING = 'NON_BLOCKING',\n}\n\n/** The mode of the predictor to be used in dynamic retrieval. */\nexport enum DynamicRetrievalConfigMode {\n  /**\n   * Always trigger retrieval.\n   */\n  MODE_UNSPECIFIED = 'MODE_UNSPECIFIED',\n  /**\n   * Run retrieval only when system decides it is necessary.\n   */\n  MODE_DYNAMIC = 'MODE_DYNAMIC',\n}\n\n/** The number of thoughts tokens that the model should generate. */\nexport enum ThinkingLevel {\n  /**\n   * Unspecified thinking level.\n   */\n  THINKING_LEVEL_UNSPECIFIED = 'THINKING_LEVEL_UNSPECIFIED',\n  /**\n   * MINIMAL thinking level.\n   */\n  MINIMAL = 'MINIMAL',\n  /**\n   * Low thinking level.\n   */\n  LOW = 'LOW',\n  /**\n   * Medium thinking level.\n   */\n  MEDIUM = 'MEDIUM',\n  /**\n   * High thinking level.\n   */\n  HIGH = 'HIGH',\n}\n\n/** Enum that controls the generation of people. */\nexport enum PersonGeneration {\n  /**\n   * Block generation of images of people.\n   */\n  DONT_ALLOW = 'DONT_ALLOW',\n  /**\n   * Generate images of adults, but not children.\n   */\n  ALLOW_ADULT = 'ALLOW_ADULT',\n  /**\n   * Generate images that include adults and children.\n   */\n  ALLOW_ALL = 'ALLOW_ALL',\n}\n\n/** Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people. This enum is not supported in Gemini API. */\nexport enum ProminentPeople {\n  /**\n   * Unspecified value. The model will proceed with the default behavior, which is to allow generation of prominent people.\n   */\n  PROMINENT_PEOPLE_UNSPECIFIED = 'PROMINENT_PEOPLE_UNSPECIFIED',\n  /**\n   * Allows the model to generate images of prominent people.\n   */\n  ALLOW_PROMINENT_PEOPLE = 'ALLOW_PROMINENT_PEOPLE',\n  /**\n   * Prevents the model from generating images of prominent people.\n   */\n  BLOCK_PROMINENT_PEOPLE = 'BLOCK_PROMINENT_PEOPLE',\n}\n\n/** The harm category to be blocked. */\nexport enum HarmCategory {\n  /**\n   * Default value. This value is unused.\n   */\n  HARM_CATEGORY_UNSPECIFIED = 'HARM_CATEGORY_UNSPECIFIED',\n  /**\n   * Abusive, threatening, or content intended to bully, torment, or ridicule.\n   */\n  HARM_CATEGORY_HARASSMENT = 'HARM_CATEGORY_HARASSMENT',\n  /**\n   * Content that promotes violence or incites hatred against individuals or groups based on certain attributes.\n   */\n  HARM_CATEGORY_HATE_SPEECH = 'HARM_CATEGORY_HATE_SPEECH',\n  /**\n   * Content that contains sexually explicit material.\n   */\n  HARM_CATEGORY_SEXUALLY_EXPLICIT = 'HARM_CATEGORY_SEXUALLY_EXPLICIT',\n  /**\n   * Content that promotes, facilitates, or enables dangerous activities.\n   */\n  HARM_CATEGORY_DANGEROUS_CONTENT = 'HARM_CATEGORY_DANGEROUS_CONTENT',\n  /**\n   * Deprecated: Election filter is not longer supported. The harm category is civic integrity.\n   */\n  HARM_CATEGORY_CIVIC_INTEGRITY = 'HARM_CATEGORY_CIVIC_INTEGRITY',\n  /**\n   * Images that contain hate speech. This enum value is not supported in Gemini API.\n   */\n  HARM_CATEGORY_IMAGE_HATE = 'HARM_CATEGORY_IMAGE_HATE',\n  /**\n   * Images that contain dangerous content. This enum value is not supported in Gemini API.\n   */\n  HARM_CATEGORY_IMAGE_DANGEROUS_CONTENT = 'HARM_CATEGORY_IMAGE_DANGEROUS_CONTENT',\n  /**\n   * Images that contain harassment. This enum value is not supported in Gemini API.\n   */\n  HARM_CATEGORY_IMAGE_HARASSMENT = 'HARM_CATEGORY_IMAGE_HARASSMENT',\n  /**\n   * Images that contain sexually explicit content. This enum value is not supported in Gemini API.\n   */\n  HARM_CATEGORY_IMAGE_SEXUALLY_EXPLICIT = 'HARM_CATEGORY_IMAGE_SEXUALLY_EXPLICIT',\n  /**\n   * Prompts designed to bypass safety filters. This enum value is not supported in Gemini API.\n   */\n  HARM_CATEGORY_JAILBREAK = 'HARM_CATEGORY_JAILBREAK',\n}\n\n/** The method for blocking content. If not specified, the default behavior is to use the probability score. This enum is not supported in Gemini API. */\nexport enum HarmBlockMethod {\n  /**\n   * The harm block method is unspecified.\n   */\n  HARM_BLOCK_METHOD_UNSPECIFIED = 'HARM_BLOCK_METHOD_UNSPECIFIED',\n  /**\n   * The harm block method uses both probability and severity scores.\n   */\n  SEVERITY = 'SEVERITY',\n  /**\n   * The harm block method uses the probability score.\n   */\n  PROBABILITY = 'PROBABILITY',\n}\n\n/** The threshold for blocking content. If the harm probability exceeds this threshold, the content will be blocked. */\nexport enum HarmBlockThreshold {\n  /**\n   * The harm block threshold is unspecified.\n   */\n  HARM_BLOCK_THRESHOLD_UNSPECIFIED = 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',\n  /**\n   * Block content with a low harm probability or higher.\n   */\n  BLOCK_LOW_AND_ABOVE = 'BLOCK_LOW_AND_ABOVE',\n  /**\n   * Block content with a medium harm probability or higher.\n   */\n  BLOCK_MEDIUM_AND_ABOVE = 'BLOCK_MEDIUM_AND_ABOVE',\n  /**\n   * Block content with a high harm probability.\n   */\n  BLOCK_ONLY_HIGH = 'BLOCK_ONLY_HIGH',\n  /**\n   * Do not block any content, regardless of its harm probability.\n   */\n  BLOCK_NONE = 'BLOCK_NONE',\n  /**\n   * Turn off the safety filter entirely.\n   */\n  OFF = 'OFF',\n}\n\n/** Function calling mode. */\nexport enum FunctionCallingConfigMode {\n  /**\n   * Unspecified function calling mode. This value should not be used.\n   */\n  MODE_UNSPECIFIED = 'MODE_UNSPECIFIED',\n  /**\n   * Default model behavior, model decides to predict either function calls or natural language response.\n   */\n  AUTO = 'AUTO',\n  /**\n   * Model is constrained to always predicting function calls only. If \"allowed_function_names\" are set, the predicted function calls will be limited to any one of \"allowed_function_names\", else the predicted function calls will be any one of the provided \"function_declarations\".\n   */\n  ANY = 'ANY',\n  /**\n   * Model will not predict any function calls. Model behavior is same as when not passing any function declarations.\n   */\n  NONE = 'NONE',\n  /**\n   * Model is constrained to predict either function calls or natural language response. If \"allowed_function_names\" are set, the predicted function calls will be limited to any one of \"allowed_function_names\", else the predicted function calls will be any one of the provided \"function_declarations\".\n   */\n  VALIDATED = 'VALIDATED',\n}\n\n/** Output only. The reason why the model stopped generating tokens.\n\nIf empty, the model has not stopped generating the tokens. */\nexport enum FinishReason {\n  /**\n   * The finish reason is unspecified.\n   */\n  FINISH_REASON_UNSPECIFIED = 'FINISH_REASON_UNSPECIFIED',\n  /**\n   * Token generation reached a natural stopping point or a configured stop sequence.\n   */\n  STOP = 'STOP',\n  /**\n   * Token generation reached the configured maximum output tokens.\n   */\n  MAX_TOKENS = 'MAX_TOKENS',\n  /**\n   * Token generation stopped because the content potentially contains safety violations. NOTE: When streaming, [content][] is empty if content filters blocks the output.\n   */\n  SAFETY = 'SAFETY',\n  /**\n   * The token generation stopped because of potential recitation.\n   */\n  RECITATION = 'RECITATION',\n  /**\n   * The token generation stopped because of using an unsupported language.\n   */\n  LANGUAGE = 'LANGUAGE',\n  /**\n   * All other reasons that stopped the token generation.\n   */\n  OTHER = 'OTHER',\n  /**\n   * Token generation stopped because the content contains forbidden terms.\n   */\n  BLOCKLIST = 'BLOCKLIST',\n  /**\n   * Token generation stopped for potentially containing prohibited content.\n   */\n  PROHIBITED_CONTENT = 'PROHIBITED_CONTENT',\n  /**\n   * Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).\n   */\n  SPII = 'SPII',\n  /**\n   * The function call generated by the model is invalid.\n   */\n  MALFORMED_FUNCTION_CALL = 'MALFORMED_FUNCTION_CALL',\n  /**\n   * Token generation stopped because generated images have safety violations.\n   */\n  IMAGE_SAFETY = 'IMAGE_SAFETY',\n  /**\n   * The tool call generated by the model is invalid.\n   */\n  UNEXPECTED_TOOL_CALL = 'UNEXPECTED_TOOL_CALL',\n  /**\n   * Image generation stopped because the generated images have prohibited content.\n   */\n  IMAGE_PROHIBITED_CONTENT = 'IMAGE_PROHIBITED_CONTENT',\n  /**\n   * The model was expected to generate an image, but none was generated.\n   */\n  NO_IMAGE = 'NO_IMAGE',\n  /**\n   * Image generation stopped because the generated image may be a recitation from a source.\n   */\n  IMAGE_RECITATION = 'IMAGE_RECITATION',\n  /**\n   * Image generation stopped for a reason not otherwise specified.\n   */\n  IMAGE_OTHER = 'IMAGE_OTHER',\n}\n\n/** Output only. The probability of harm for this category. */\nexport enum HarmProbability {\n  /**\n   * The harm probability is unspecified.\n   */\n  HARM_PROBABILITY_UNSPECIFIED = 'HARM_PROBABILITY_UNSPECIFIED',\n  /**\n   * The harm probability is negligible.\n   */\n  NEGLIGIBLE = 'NEGLIGIBLE',\n  /**\n   * The harm probability is low.\n   */\n  LOW = 'LOW',\n  /**\n   * The harm probability is medium.\n   */\n  MEDIUM = 'MEDIUM',\n  /**\n   * The harm probability is high.\n   */\n  HIGH = 'HIGH',\n}\n\n/** Output only. The severity of harm for this category. This enum is not supported in Gemini API. */\nexport enum HarmSeverity {\n  /**\n   * The harm severity is unspecified.\n   */\n  HARM_SEVERITY_UNSPECIFIED = 'HARM_SEVERITY_UNSPECIFIED',\n  /**\n   * The harm severity is negligible.\n   */\n  HARM_SEVERITY_NEGLIGIBLE = 'HARM_SEVERITY_NEGLIGIBLE',\n  /**\n   * The harm severity is low.\n   */\n  HARM_SEVERITY_LOW = 'HARM_SEVERITY_LOW',\n  /**\n   * The harm severity is medium.\n   */\n  HARM_SEVERITY_MEDIUM = 'HARM_SEVERITY_MEDIUM',\n  /**\n   * The harm severity is high.\n   */\n  HARM_SEVERITY_HIGH = 'HARM_SEVERITY_HIGH',\n}\n\n/** The status of the URL retrieval. */\nexport enum UrlRetrievalStatus {\n  /**\n   * Default value. This value is unused.\n   */\n  URL_RETRIEVAL_STATUS_UNSPECIFIED = 'URL_RETRIEVAL_STATUS_UNSPECIFIED',\n  /**\n   * The URL was retrieved successfully.\n   */\n  URL_RETRIEVAL_STATUS_SUCCESS = 'URL_RETRIEVAL_STATUS_SUCCESS',\n  /**\n   * The URL retrieval failed.\n   */\n  URL_RETRIEVAL_STATUS_ERROR = 'URL_RETRIEVAL_STATUS_ERROR',\n  /**\n   * Url retrieval is failed because the content is behind paywall. This enum value is not supported in Vertex AI.\n   */\n  URL_RETRIEVAL_STATUS_PAYWALL = 'URL_RETRIEVAL_STATUS_PAYWALL',\n  /**\n   * Url retrieval is failed because the content is unsafe. This enum value is not supported in Vertex AI.\n   */\n  URL_RETRIEVAL_STATUS_UNSAFE = 'URL_RETRIEVAL_STATUS_UNSAFE',\n}\n\n/** Output only. The reason why the prompt was blocked. */\nexport enum BlockedReason {\n  /**\n   * The blocked reason is unspecified.\n   */\n  BLOCKED_REASON_UNSPECIFIED = 'BLOCKED_REASON_UNSPECIFIED',\n  /**\n   * The prompt was blocked for safety reasons.\n   */\n  SAFETY = 'SAFETY',\n  /**\n   * The prompt was blocked for other reasons. For example, it may be due to the prompt's language, or because it contains other harmful content.\n   */\n  OTHER = 'OTHER',\n  /**\n   * The prompt was blocked because it contains a term from the terminology blocklist.\n   */\n  BLOCKLIST = 'BLOCKLIST',\n  /**\n   * The prompt was blocked because it contains prohibited content.\n   */\n  PROHIBITED_CONTENT = 'PROHIBITED_CONTENT',\n  /**\n   * The prompt was blocked because it contains content that is unsafe for image generation.\n   */\n  IMAGE_SAFETY = 'IMAGE_SAFETY',\n  /**\n   * The prompt was blocked by Model Armor. This enum value is not supported in Gemini API.\n   */\n  MODEL_ARMOR = 'MODEL_ARMOR',\n  /**\n   * The prompt was blocked as a jailbreak attempt. This enum value is not supported in Gemini API.\n   */\n  JAILBREAK = 'JAILBREAK',\n}\n\n/** Output only. The traffic type for this request. This enum is not supported in Gemini API. */\nexport enum TrafficType {\n  /**\n   * Unspecified request traffic type.\n   */\n  TRAFFIC_TYPE_UNSPECIFIED = 'TRAFFIC_TYPE_UNSPECIFIED',\n  /**\n   * The request was processed using Pay-As-You-Go quota.\n   */\n  ON_DEMAND = 'ON_DEMAND',\n  /**\n   * Type for Priority Pay-As-You-Go traffic.\n   */\n  ON_DEMAND_PRIORITY = 'ON_DEMAND_PRIORITY',\n  /**\n   * Type for Flex traffic.\n   */\n  ON_DEMAND_FLEX = 'ON_DEMAND_FLEX',\n  /**\n   * Type for Provisioned Throughput traffic.\n   */\n  PROVISIONED_THROUGHPUT = 'PROVISIONED_THROUGHPUT',\n}\n\n/** The modality that this token count applies to. */\nexport enum MediaModality {\n  /**\n   * When a modality is not specified, it is treated as `TEXT`.\n   */\n  MODALITY_UNSPECIFIED = 'MODALITY_UNSPECIFIED',\n  /**\n   * The `Part` contains plain text.\n   */\n  TEXT = 'TEXT',\n  /**\n   * The `Part` contains an image.\n   */\n  IMAGE = 'IMAGE',\n  /**\n   * The `Part` contains a video.\n   */\n  VIDEO = 'VIDEO',\n  /**\n   * The `Part` contains audio.\n   */\n  AUDIO = 'AUDIO',\n  /**\n   * The `Part` contains a document, such as a PDF.\n   */\n  DOCUMENT = 'DOCUMENT',\n}\n\n/** The stage of the underlying model. This enum is not supported in Vertex AI. */\nexport enum ModelStage {\n  /**\n   * Unspecified model stage.\n   */\n  MODEL_STAGE_UNSPECIFIED = 'MODEL_STAGE_UNSPECIFIED',\n  /**\n   * The underlying model is subject to lots of tunings.\n   */\n  UNSTABLE_EXPERIMENTAL = 'UNSTABLE_EXPERIMENTAL',\n  /**\n   * Models in this stage are for experimental purposes only.\n   */\n  EXPERIMENTAL = 'EXPERIMENTAL',\n  /**\n   * Models in this stage are more mature than experimental models.\n   */\n  PREVIEW = 'PREVIEW',\n  /**\n   * Models in this stage are considered stable and ready for production use.\n   */\n  STABLE = 'STABLE',\n  /**\n   * If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.\n   */\n  LEGACY = 'LEGACY',\n  /**\n   * Models in this stage are deprecated. These models cannot be used.\n   */\n  DEPRECATED = 'DEPRECATED',\n  /**\n   * Models in this stage are retired. These models cannot be used.\n   */\n  RETIRED = 'RETIRED',\n}\n\n/** The media resolution to use. */\nexport enum MediaResolution {\n  /**\n   * Media resolution has not been set\n   */\n  MEDIA_RESOLUTION_UNSPECIFIED = 'MEDIA_RESOLUTION_UNSPECIFIED',\n  /**\n   * Media resolution set to low (64 tokens).\n   */\n  MEDIA_RESOLUTION_LOW = 'MEDIA_RESOLUTION_LOW',\n  /**\n   * Media resolution set to medium (256 tokens).\n   */\n  MEDIA_RESOLUTION_MEDIUM = 'MEDIA_RESOLUTION_MEDIUM',\n  /**\n   * Media resolution set to high (zoomed reframing with 256 tokens).\n   */\n  MEDIA_RESOLUTION_HIGH = 'MEDIA_RESOLUTION_HIGH',\n}\n\n/** Server content modalities. */\nexport enum Modality {\n  /**\n   * The modality is unspecified.\n   */\n  MODALITY_UNSPECIFIED = 'MODALITY_UNSPECIFIED',\n  /**\n   * Indicates the model should return text\n   */\n  TEXT = 'TEXT',\n  /**\n   * Indicates the model should return images.\n   */\n  IMAGE = 'IMAGE',\n  /**\n   * Indicates the model should return audio.\n   */\n  AUDIO = 'AUDIO',\n  /**\n   * Indicates the model should return video.\n   */\n  VIDEO = 'VIDEO',\n}\n\n/** Delivery mode for the generated content. */\nexport enum Delivery {\n  /**\n   * Default value. This value is unused.\n   */\n  DELIVERY_UNSPECIFIED = 'DELIVERY_UNSPECIFIED',\n  /**\n   * Generated bytes are returned inline in the response.\n   */\n  INLINE = 'INLINE',\n  /**\n   * Generated content is stored and a URI is returned.\n   */\n  URI = 'URI',\n}\n\n/** The aspect ratio for the image output. */\nexport enum AspectRatio {\n  /**\n   * Default value. This value is unused.\n   */\n  ASPECT_RATIO_UNSPECIFIED = 'ASPECT_RATIO_UNSPECIFIED',\n  /**\n   * 1:1 aspect ratio.\n   */\n  ASPECT_RATIO_ONE_BY_ONE = 'ASPECT_RATIO_ONE_BY_ONE',\n  /**\n   * 2:3 aspect ratio.\n   */\n  ASPECT_RATIO_TWO_BY_THREE = 'ASPECT_RATIO_TWO_BY_THREE',\n  /**\n   * 3:2 aspect ratio.\n   */\n  ASPECT_RATIO_THREE_BY_TWO = 'ASPECT_RATIO_THREE_BY_TWO',\n  /**\n   * 3:4 aspect ratio.\n   */\n  ASPECT_RATIO_THREE_BY_FOUR = 'ASPECT_RATIO_THREE_BY_FOUR',\n  /**\n   * 4:3 aspect ratio.\n   */\n  ASPECT_RATIO_FOUR_BY_THREE = 'ASPECT_RATIO_FOUR_BY_THREE',\n  /**\n   * 4:5 aspect ratio.\n   */\n  ASPECT_RATIO_FOUR_BY_FIVE = 'ASPECT_RATIO_FOUR_BY_FIVE',\n  /**\n   * 5:4 aspect ratio.\n   */\n  ASPECT_RATIO_FIVE_BY_FOUR = 'ASPECT_RATIO_FIVE_BY_FOUR',\n  /**\n   * 9:16 aspect ratio.\n   */\n  ASPECT_RATIO_NINE_BY_SIXTEEN = 'ASPECT_RATIO_NINE_BY_SIXTEEN',\n  /**\n   * 16:9 aspect ratio.\n   */\n  ASPECT_RATIO_SIXTEEN_BY_NINE = 'ASPECT_RATIO_SIXTEEN_BY_NINE',\n  /**\n   * 21:9 aspect ratio.\n   */\n  ASPECT_RATIO_TWENTY_ONE_BY_NINE = 'ASPECT_RATIO_TWENTY_ONE_BY_NINE',\n  /**\n   * 1:8 aspect ratio.\n   */\n  ASPECT_RATIO_ONE_BY_EIGHT = 'ASPECT_RATIO_ONE_BY_EIGHT',\n  /**\n   * 8:1 aspect ratio.\n   */\n  ASPECT_RATIO_EIGHT_BY_ONE = 'ASPECT_RATIO_EIGHT_BY_ONE',\n  /**\n   * 1:4 aspect ratio.\n   */\n  ASPECT_RATIO_ONE_BY_FOUR = 'ASPECT_RATIO_ONE_BY_FOUR',\n  /**\n   * 4:1 aspect ratio.\n   */\n  ASPECT_RATIO_FOUR_BY_ONE = 'ASPECT_RATIO_FOUR_BY_ONE',\n}\n\n/** The size of the image output. */\nexport enum ImageSize {\n  /**\n   * Default value. This value is unused.\n   */\n  IMAGE_SIZE_UNSPECIFIED = 'IMAGE_SIZE_UNSPECIFIED',\n  /**\n   * 512px image size.\n   */\n  IMAGE_SIZE_FIVE_TWELVE = 'IMAGE_SIZE_FIVE_TWELVE',\n  /**\n   * 1K image size.\n   */\n  IMAGE_SIZE_ONE_K = 'IMAGE_SIZE_ONE_K',\n  /**\n   * 2K image size.\n   */\n  IMAGE_SIZE_TWO_K = 'IMAGE_SIZE_TWO_K',\n  /**\n   * 4K image size.\n   */\n  IMAGE_SIZE_FOUR_K = 'IMAGE_SIZE_FOUR_K',\n}\n\n/** Tuning mode. This enum is not supported in Gemini API. */\nexport enum TuningMode {\n  /**\n   * Tuning mode is unspecified.\n   */\n  TUNING_MODE_UNSPECIFIED = 'TUNING_MODE_UNSPECIFIED',\n  /**\n   * Full fine-tuning mode.\n   */\n  TUNING_MODE_FULL = 'TUNING_MODE_FULL',\n  /**\n   * PEFT adapter tuning mode.\n   */\n  TUNING_MODE_PEFT_ADAPTER = 'TUNING_MODE_PEFT_ADAPTER',\n}\n\n/** Adapter size for tuning. This enum is not supported in Gemini API. */\nexport enum AdapterSize {\n  /**\n   * Adapter size is unspecified.\n   */\n  ADAPTER_SIZE_UNSPECIFIED = 'ADAPTER_SIZE_UNSPECIFIED',\n  /**\n   * Adapter size 1.\n   */\n  ADAPTER_SIZE_ONE = 'ADAPTER_SIZE_ONE',\n  /**\n   * Adapter size 2.\n   */\n  ADAPTER_SIZE_TWO = 'ADAPTER_SIZE_TWO',\n  /**\n   * Adapter size 4.\n   */\n  ADAPTER_SIZE_FOUR = 'ADAPTER_SIZE_FOUR',\n  /**\n   * Adapter size 8.\n   */\n  ADAPTER_SIZE_EIGHT = 'ADAPTER_SIZE_EIGHT',\n  /**\n   * Adapter size 16.\n   */\n  ADAPTER_SIZE_SIXTEEN = 'ADAPTER_SIZE_SIXTEEN',\n  /**\n   * Adapter size 32.\n   */\n  ADAPTER_SIZE_THIRTY_TWO = 'ADAPTER_SIZE_THIRTY_TWO',\n}\n\n/** Defines the type for parsing sample response. This enum is not supported in Gemini API. */\nexport enum ResponseParseType {\n  /**\n   * Default value. Fallback to IDENTITY\n   */\n  RESPONSE_PARSE_TYPE_UNSPECIFIED = 'RESPONSE_PARSE_TYPE_UNSPECIFIED',\n  /**\n   * Returns the sample response as is.\n   */\n  IDENTITY = 'IDENTITY',\n  /**\n   * Uses regex to extract the important part of sample response. Similar to [GoogleSQL](https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#regexp_extract) `REGEX_EXTRACT(response, regex_extract_expression)`, but different in that if there are multiple matches, the last match will be returned.\n   */\n  REGEX_EXTRACT = 'REGEX_EXTRACT',\n}\n\n/** Match operation to use for evaluating rewards. This enum is not supported in Gemini API. */\nexport enum MatchOperation {\n  /**\n   * Default value. A user error will be returned if not set.\n   */\n  MATCH_OPERATION_UNSPECIFIED = 'MATCH_OPERATION_UNSPECIFIED',\n  /**\n   * Equivalent to [GoogleSQL](https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#regexp_contains) `REGEX_CONTAINS(target, expression)`.\n   */\n  REGEX_CONTAINS = 'REGEX_CONTAINS',\n  /**\n   * The match operation returns `true` if expression is a substring of the target.\n   */\n  PARTIAL_MATCH = 'PARTIAL_MATCH',\n  /**\n   * The match operation returns `true` expression is an exact match of the target.\n   */\n  EXACT_MATCH = 'EXACT_MATCH',\n}\n\n/** Represents how much to think for the tuning job. */\nexport enum ReinforcementTuningThinkingLevel {\n  /**\n   * Unspecified thinking level.\n   */\n  REINFORCEMENT_TUNING_THINKING_LEVEL_UNSPECIFIED = 'REINFORCEMENT_TUNING_THINKING_LEVEL_UNSPECIFIED',\n  /**\n   * Little to no thinking.\n   */\n  MINIMAL = 'MINIMAL',\n  /**\n   * High thinking level.\n   */\n  HIGH = 'HIGH',\n}\n\n/** Job state. */\nexport enum JobState {\n  /**\n   * The job state is unspecified.\n   */\n  JOB_STATE_UNSPECIFIED = 'JOB_STATE_UNSPECIFIED',\n  /**\n   * The job has been just created or resumed and processing has not yet begun.\n   */\n  JOB_STATE_QUEUED = 'JOB_STATE_QUEUED',\n  /**\n   * The service is preparing to run the job.\n   */\n  JOB_STATE_PENDING = 'JOB_STATE_PENDING',\n  /**\n   * The job is in progress.\n   */\n  JOB_STATE_RUNNING = 'JOB_STATE_RUNNING',\n  /**\n   * The job completed successfully.\n   */\n  JOB_STATE_SUCCEEDED = 'JOB_STATE_SUCCEEDED',\n  /**\n   * The job failed.\n   */\n  JOB_STATE_FAILED = 'JOB_STATE_FAILED',\n  /**\n   * The job is being cancelled. From this state the job may only go to either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.\n   */\n  JOB_STATE_CANCELLING = 'JOB_STATE_CANCELLING',\n  /**\n   * The job has been cancelled.\n   */\n  JOB_STATE_CANCELLED = 'JOB_STATE_CANCELLED',\n  /**\n   * The job has been stopped, and can be resumed.\n   */\n  JOB_STATE_PAUSED = 'JOB_STATE_PAUSED',\n  /**\n   * The job has expired.\n   */\n  JOB_STATE_EXPIRED = 'JOB_STATE_EXPIRED',\n  /**\n   * The job is being updated. Only jobs in the `JOB_STATE_RUNNING` state can be updated. After updating, the job goes back to the `JOB_STATE_RUNNING` state.\n   */\n  JOB_STATE_UPDATING = 'JOB_STATE_UPDATING',\n  /**\n   * The job is partially succeeded, some results may be missing due to errors.\n   */\n  JOB_STATE_PARTIALLY_SUCCEEDED = 'JOB_STATE_PARTIALLY_SUCCEEDED',\n}\n\n/** Output only. The detail state of the tuning job (while the overall `JobState` is running). This enum is not supported in Gemini API. */\nexport enum TuningJobState {\n  /**\n   * Default tuning job state.\n   */\n  TUNING_JOB_STATE_UNSPECIFIED = 'TUNING_JOB_STATE_UNSPECIFIED',\n  /**\n   * Tuning job is waiting for job quota.\n   */\n  TUNING_JOB_STATE_WAITING_FOR_QUOTA = 'TUNING_JOB_STATE_WAITING_FOR_QUOTA',\n  /**\n   * Tuning job is validating the dataset.\n   */\n  TUNING_JOB_STATE_PROCESSING_DATASET = 'TUNING_JOB_STATE_PROCESSING_DATASET',\n  /**\n   * Tuning job is waiting for hardware capacity.\n   */\n  TUNING_JOB_STATE_WAITING_FOR_CAPACITY = 'TUNING_JOB_STATE_WAITING_FOR_CAPACITY',\n  /**\n   * Tuning job is running.\n   */\n  TUNING_JOB_STATE_TUNING = 'TUNING_JOB_STATE_TUNING',\n  /**\n   * Tuning job is doing some post processing steps.\n   */\n  TUNING_JOB_STATE_POST_PROCESSING = 'TUNING_JOB_STATE_POST_PROCESSING',\n}\n\n/** Aggregation metric. This enum is not supported in Gemini API. */\nexport enum AggregationMetric {\n  /**\n   * Unspecified aggregation metric.\n   */\n  AGGREGATION_METRIC_UNSPECIFIED = 'AGGREGATION_METRIC_UNSPECIFIED',\n  /**\n   * Average aggregation metric. Not supported for Pairwise metric.\n   */\n  AVERAGE = 'AVERAGE',\n  /**\n   * Mode aggregation metric.\n   */\n  MODE = 'MODE',\n  /**\n   * Standard deviation aggregation metric. Not supported for pairwise metric.\n   */\n  STANDARD_DEVIATION = 'STANDARD_DEVIATION',\n  /**\n   * Variance aggregation metric. Not supported for pairwise metric.\n   */\n  VARIANCE = 'VARIANCE',\n  /**\n   * Minimum aggregation metric. Not supported for pairwise metric.\n   */\n  MINIMUM = 'MINIMUM',\n  /**\n   * Maximum aggregation metric. Not supported for pairwise metric.\n   */\n  MAXIMUM = 'MAXIMUM',\n  /**\n   * Median aggregation metric. Not supported for pairwise metric.\n   */\n  MEDIAN = 'MEDIAN',\n  /**\n   * 90th percentile aggregation metric. Not supported for pairwise metric.\n   */\n  PERCENTILE_P90 = 'PERCENTILE_P90',\n  /**\n   * 95th percentile aggregation metric. Not supported for pairwise metric.\n   */\n  PERCENTILE_P95 = 'PERCENTILE_P95',\n  /**\n   * 99th percentile aggregation metric. Not supported for pairwise metric.\n   */\n  PERCENTILE_P99 = 'PERCENTILE_P99',\n}\n\n/** Output only. Pairwise metric choice. This enum is not supported in Gemini API. */\nexport enum PairwiseChoice {\n  /**\n   * Unspecified prediction choice.\n   */\n  PAIRWISE_CHOICE_UNSPECIFIED = 'PAIRWISE_CHOICE_UNSPECIFIED',\n  /**\n   * Baseline prediction wins\n   */\n  BASELINE = 'BASELINE',\n  /**\n   * Candidate prediction wins\n   */\n  CANDIDATE = 'CANDIDATE',\n  /**\n   * Winner cannot be determined\n   */\n  TIE = 'TIE',\n}\n\n/** The speed of the tuning job. Only supported for Veo 3.0 models. This enum is not supported in Gemini API. */\nexport enum TuningSpeed {\n  /**\n   * The default / unset value. For Veo 3.0 models, this defaults to FAST.\n   */\n  TUNING_SPEED_UNSPECIFIED = 'TUNING_SPEED_UNSPECIFIED',\n  /**\n   * Regular tuning speed.\n   */\n  REGULAR = 'REGULAR',\n  /**\n   * Fast tuning speed.\n   */\n  FAST = 'FAST',\n}\n\n/** The tuning task for Veo. This enum is not supported in Gemini API. */\nexport enum TuningTask {\n  /**\n   * Default value. This value is unused.\n   */\n  TUNING_TASK_UNSPECIFIED = 'TUNING_TASK_UNSPECIFIED',\n  /**\n   * Tuning task for image to video.\n   */\n  TUNING_TASK_I2V = 'TUNING_TASK_I2V',\n  /**\n   * Tuning task for text to video.\n   */\n  TUNING_TASK_T2V = 'TUNING_TASK_T2V',\n  /**\n   * Tuning task for reference to video.\n   */\n  TUNING_TASK_R2V = 'TUNING_TASK_R2V',\n}\n\n/** The orientation of the video. Defaults to LANDSCAPE. This enum is not supported in Gemini API. */\nexport enum VideoOrientation {\n  /**\n   * Unspecified video orientation. Defaults to landscape.\n   */\n  VIDEO_ORIENTATION_UNSPECIFIED = 'VIDEO_ORIENTATION_UNSPECIFIED',\n  /**\n   * Landscape orientation (e.g. 16:9, 1280x720).\n   */\n  LANDSCAPE = 'LANDSCAPE',\n  /**\n   * Portrait orientation (e.g. 9:16, 720x1280).\n   */\n  PORTRAIT = 'PORTRAIT',\n}\n\n/** Output only. Current state of the `Document`. This enum is not supported in Vertex AI. */\nexport enum DocumentState {\n  /**\n   * The default value. This value is used if the state is omitted.\n   */\n  STATE_UNSPECIFIED = 'STATE_UNSPECIFIED',\n  /**\n   * Some `Chunks` of the `Document` are being processed (embedding and vector storage).\n   */\n  STATE_PENDING = 'STATE_PENDING',\n  /**\n   * All `Chunks` of the `Document` is processed and available for querying.\n   */\n  STATE_ACTIVE = 'STATE_ACTIVE',\n  /**\n   * Some `Chunks` of the `Document` failed processing.\n   */\n  STATE_FAILED = 'STATE_FAILED',\n}\n\n/** Pricing and performance service tier. */\nexport enum ServiceTier {\n  /**\n   * Default service tier, which is standard.\n   */\n  UNSPECIFIED = 'unspecified',\n  /**\n   * Flex service tier.\n   */\n  FLEX = 'flex',\n  /**\n   * Standard service tier.\n   */\n  STANDARD = 'standard',\n  /**\n   * Priority service tier.\n   */\n  PRIORITY = 'priority',\n}\n\n/** The tokenization quality used for given media. */\nexport enum PartMediaResolutionLevel {\n  /**\n   * Media resolution has not been set.\n   */\n  MEDIA_RESOLUTION_UNSPECIFIED = 'MEDIA_RESOLUTION_UNSPECIFIED',\n  /**\n   * Media resolution set to low.\n   */\n  MEDIA_RESOLUTION_LOW = 'MEDIA_RESOLUTION_LOW',\n  /**\n   * Media resolution set to medium.\n   */\n  MEDIA_RESOLUTION_MEDIUM = 'MEDIA_RESOLUTION_MEDIUM',\n  /**\n   * Media resolution set to high.\n   */\n  MEDIA_RESOLUTION_HIGH = 'MEDIA_RESOLUTION_HIGH',\n  /**\n   * Media resolution set to ultra high.\n   */\n  MEDIA_RESOLUTION_ULTRA_HIGH = 'MEDIA_RESOLUTION_ULTRA_HIGH',\n}\n\n/** The type of tool in the function call. */\nexport enum ToolType {\n  /**\n   * Unspecified tool type.\n   */\n  TOOL_TYPE_UNSPECIFIED = 'TOOL_TYPE_UNSPECIFIED',\n  /**\n   * Google search tool, maps to Tool.google_search.search_types.web_search.\n   */\n  GOOGLE_SEARCH_WEB = 'GOOGLE_SEARCH_WEB',\n  /**\n   * Image search tool, maps to Tool.google_search.search_types.image_search.\n   */\n  GOOGLE_SEARCH_IMAGE = 'GOOGLE_SEARCH_IMAGE',\n  /**\n   * URL context tool, maps to Tool.url_context.\n   */\n  URL_CONTEXT = 'URL_CONTEXT',\n  /**\n   * Google maps tool, maps to Tool.google_maps.\n   */\n  GOOGLE_MAPS = 'GOOGLE_MAPS',\n  /**\n   * File search tool, maps to Tool.file_search.\n   */\n  FILE_SEARCH = 'FILE_SEARCH',\n}\n\n/** Resource scope. */\nexport enum ResourceScope {\n  /**\n   * When setting base_url, this value configures resource scope to be the collection.\n      The resource name will not include api version, project, or location.\n      For example, if base_url is set to \"https://aiplatform.googleapis.com\",\n      then the resource name for a Model would be\n      \"https://aiplatform.googleapis.com/publishers/google/models/gemini-3-pro-preview\n   */\n  COLLECTION = 'COLLECTION',\n}\n\n/** Options for feature selection preference. */\nexport enum FeatureSelectionPreference {\n  FEATURE_SELECTION_PREFERENCE_UNSPECIFIED = 'FEATURE_SELECTION_PREFERENCE_UNSPECIFIED',\n  PRIORITIZE_QUALITY = 'PRIORITIZE_QUALITY',\n  BALANCED = 'BALANCED',\n  PRIORITIZE_COST = 'PRIORITIZE_COST',\n}\n\n/** Enum representing the Gemini Enterprise Agent Platform embedding API to use. */\nexport enum EmbeddingApiType {\n  /**\n   * predict API endpoint (default)\n   */\n  PREDICT = 'PREDICT',\n  /**\n   * embedContent API Endpoint\n   */\n  EMBED_CONTENT = 'EMBED_CONTENT',\n}\n\n/** Enum that controls the safety filter level for objectionable content. */\nexport enum SafetyFilterLevel {\n  BLOCK_LOW_AND_ABOVE = 'BLOCK_LOW_AND_ABOVE',\n  BLOCK_MEDIUM_AND_ABOVE = 'BLOCK_MEDIUM_AND_ABOVE',\n  BLOCK_ONLY_HIGH = 'BLOCK_ONLY_HIGH',\n  BLOCK_NONE = 'BLOCK_NONE',\n}\n\n/** Enum that specifies the language of the text in the prompt. */\nexport enum ImagePromptLanguage {\n  /**\n   * Auto-detect the language.\n   */\n  auto = 'auto',\n  /**\n   * English\n   */\n  en = 'en',\n  /**\n   * Japanese\n   */\n  ja = 'ja',\n  /**\n   * Korean\n   */\n  ko = 'ko',\n  /**\n   * Hindi\n   */\n  hi = 'hi',\n  /**\n   * Chinese\n   */\n  zh = 'zh',\n  /**\n   * Portuguese\n   */\n  pt = 'pt',\n  /**\n   * Spanish\n   */\n  es = 'es',\n}\n\n/** Enum representing the mask mode of a mask reference image. */\nexport enum MaskReferenceMode {\n  MASK_MODE_DEFAULT = 'MASK_MODE_DEFAULT',\n  MASK_MODE_USER_PROVIDED = 'MASK_MODE_USER_PROVIDED',\n  MASK_MODE_BACKGROUND = 'MASK_MODE_BACKGROUND',\n  MASK_MODE_FOREGROUND = 'MASK_MODE_FOREGROUND',\n  MASK_MODE_SEMANTIC = 'MASK_MODE_SEMANTIC',\n}\n\n/** Enum representing the control type of a control reference image. */\nexport enum ControlReferenceType {\n  CONTROL_TYPE_DEFAULT = 'CONTROL_TYPE_DEFAULT',\n  CONTROL_TYPE_CANNY = 'CONTROL_TYPE_CANNY',\n  CONTROL_TYPE_SCRIBBLE = 'CONTROL_TYPE_SCRIBBLE',\n  CONTROL_TYPE_FACE_MESH = 'CONTROL_TYPE_FACE_MESH',\n}\n\n/** Enum representing the subject type of a subject reference image. */\nexport enum SubjectReferenceType {\n  SUBJECT_TYPE_DEFAULT = 'SUBJECT_TYPE_DEFAULT',\n  SUBJECT_TYPE_PERSON = 'SUBJECT_TYPE_PERSON',\n  SUBJECT_TYPE_ANIMAL = 'SUBJECT_TYPE_ANIMAL',\n  SUBJECT_TYPE_PRODUCT = 'SUBJECT_TYPE_PRODUCT',\n}\n\n/** Enum representing the editing mode. */\nexport enum EditMode {\n  EDIT_MODE_DEFAULT = 'EDIT_MODE_DEFAULT',\n  EDIT_MODE_INPAINT_REMOVAL = 'EDIT_MODE_INPAINT_REMOVAL',\n  EDIT_MODE_INPAINT_INSERTION = 'EDIT_MODE_INPAINT_INSERTION',\n  EDIT_MODE_OUTPAINT = 'EDIT_MODE_OUTPAINT',\n  EDIT_MODE_CONTROLLED_EDITING = 'EDIT_MODE_CONTROLLED_EDITING',\n  EDIT_MODE_STYLE = 'EDIT_MODE_STYLE',\n  EDIT_MODE_BGSWAP = 'EDIT_MODE_BGSWAP',\n  EDIT_MODE_PRODUCT_IMAGE = 'EDIT_MODE_PRODUCT_IMAGE',\n}\n\n/** Enum that represents the segmentation mode. */\nexport enum SegmentMode {\n  FOREGROUND = 'FOREGROUND',\n  BACKGROUND = 'BACKGROUND',\n  PROMPT = 'PROMPT',\n  SEMANTIC = 'SEMANTIC',\n  INTERACTIVE = 'INTERACTIVE',\n}\n\n/** Enum for the reference type of a video generation reference image. */\nexport enum VideoGenerationReferenceType {\n  /**\n   * A reference image that provides assets to the generated video,\n      such as the scene, an object, a character, etc.\n   */\n  ASSET = 'ASSET',\n  /**\n   * A reference image that provides aesthetics including colors,\n      lighting, texture, etc., to be used as the style of the generated video,\n      such as 'anime', 'photography', 'origami', etc.\n   */\n  STYLE = 'STYLE',\n}\n\n/** Enum for the mask mode of a video generation mask. */\nexport enum VideoGenerationMaskMode {\n  /**\n   * The image mask contains a masked rectangular region which is\n      applied on the first frame of the input video. The object described in\n      the prompt is inserted into this region and will appear in subsequent\n      frames.\n   */\n  INSERT = 'INSERT',\n  /**\n   * The image mask is used to determine an object in the\n      first video frame to track. This object is removed from the video.\n   */\n  REMOVE = 'REMOVE',\n  /**\n   * The image mask is used to determine a region in the\n      video. Objects in this region will be removed.\n   */\n  REMOVE_STATIC = 'REMOVE_STATIC',\n  /**\n   * The image mask contains a masked rectangular region where\n      the input video will go. The remaining area will be generated. Video\n      masks are not supported.\n   */\n  OUTPAINT = 'OUTPAINT',\n}\n\n/** Enum that controls the compression quality of the generated videos. */\nexport enum VideoCompressionQuality {\n  /**\n   * Optimized video compression quality. This will produce videos\n      with a compressed, smaller file size.\n   */\n  OPTIMIZED = 'OPTIMIZED',\n  /**\n   * Lossless video compression quality. This will produce videos\n      with a larger file size.\n   */\n  LOSSLESS = 'LOSSLESS',\n}\n\n/** Resize mode for the image input for video generation. */\nexport enum ImageResizeMode {\n  /**\n   * Crop the image to fit the correct aspect ratio (so we lose parts\n      of the image in the process).\n   */\n  CROP = 'CROP',\n  /**\n   * Pad the image to fit the correct aspect ratio (so we don't lose\n      any parts of the image in the process).\n   */\n  PAD = 'PAD',\n}\n\n/** Enum representing the tuning method. */\nexport enum TuningMethod {\n  /**\n   * Supervised fine tuning.\n   */\n  SUPERVISED_FINE_TUNING = 'SUPERVISED_FINE_TUNING',\n  /**\n   * Preference optimization tuning.\n   */\n  PREFERENCE_TUNING = 'PREFERENCE_TUNING',\n  /**\n   * Distillation tuning.\n   */\n  DISTILLATION = 'DISTILLATION',\n  /**\n   * Reinforcement tuning.\n   */\n  REINFORCEMENT_TUNING = 'REINFORCEMENT_TUNING',\n}\n\n/** State for the lifecycle of a File. */\nexport enum FileState {\n  STATE_UNSPECIFIED = 'STATE_UNSPECIFIED',\n  PROCESSING = 'PROCESSING',\n  ACTIVE = 'ACTIVE',\n  FAILED = 'FAILED',\n}\n\n/** Source of the File. */\nexport enum FileSource {\n  SOURCE_UNSPECIFIED = 'SOURCE_UNSPECIFIED',\n  UPLOADED = 'UPLOADED',\n  GENERATED = 'GENERATED',\n  REGISTERED = 'REGISTERED',\n}\n\n/** The reason why the turn is complete. */\nexport enum TurnCompleteReason {\n  /**\n   * Default value. Reason is unspecified.\n   */\n  TURN_COMPLETE_REASON_UNSPECIFIED = 'TURN_COMPLETE_REASON_UNSPECIFIED',\n  /**\n   * The function call generated by the model is invalid.\n   */\n  MALFORMED_FUNCTION_CALL = 'MALFORMED_FUNCTION_CALL',\n  /**\n   * The response is rejected by the model.\n   */\n  RESPONSE_REJECTED = 'RESPONSE_REJECTED',\n  /**\n   * Needs more input from the user.\n   */\n  NEED_MORE_INPUT = 'NEED_MORE_INPUT',\n  /**\n   * Input content is prohibited.\n   */\n  PROHIBITED_INPUT_CONTENT = 'PROHIBITED_INPUT_CONTENT',\n  /**\n   * Input image contains prohibited content.\n   */\n  IMAGE_PROHIBITED_INPUT_CONTENT = 'IMAGE_PROHIBITED_INPUT_CONTENT',\n  /**\n   * Input text contains prominent person reference.\n   */\n  INPUT_TEXT_CONTAIN_PROMINENT_PERSON_PROHIBITED = 'INPUT_TEXT_CONTAIN_PROMINENT_PERSON_PROHIBITED',\n  /**\n   * Input image contains celebrity.\n   */\n  INPUT_IMAGE_CELEBRITY = 'INPUT_IMAGE_CELEBRITY',\n  /**\n   * Input image contains photo realistic child.\n   */\n  INPUT_IMAGE_PHOTO_REALISTIC_CHILD_PROHIBITED = 'INPUT_IMAGE_PHOTO_REALISTIC_CHILD_PROHIBITED',\n  /**\n   * Input text contains NCII content.\n   */\n  INPUT_TEXT_NCII_PROHIBITED = 'INPUT_TEXT_NCII_PROHIBITED',\n  /**\n   * Other input safety issue.\n   */\n  INPUT_OTHER = 'INPUT_OTHER',\n  /**\n   * Input contains IP violation.\n   */\n  INPUT_IP_PROHIBITED = 'INPUT_IP_PROHIBITED',\n  /**\n   * Input matched blocklist.\n   */\n  BLOCKLIST = 'BLOCKLIST',\n  /**\n   * Input is unsafe for image generation.\n   */\n  UNSAFE_PROMPT_FOR_IMAGE_GENERATION = 'UNSAFE_PROMPT_FOR_IMAGE_GENERATION',\n  /**\n   * Generated image failed safety check.\n   */\n  GENERATED_IMAGE_SAFETY = 'GENERATED_IMAGE_SAFETY',\n  /**\n   * Generated content failed safety check.\n   */\n  GENERATED_CONTENT_SAFETY = 'GENERATED_CONTENT_SAFETY',\n  /**\n   * Generated audio failed safety check.\n   */\n  GENERATED_AUDIO_SAFETY = 'GENERATED_AUDIO_SAFETY',\n  /**\n   * Generated video failed safety check.\n   */\n  GENERATED_VIDEO_SAFETY = 'GENERATED_VIDEO_SAFETY',\n  /**\n   * Generated content is prohibited.\n   */\n  GENERATED_CONTENT_PROHIBITED = 'GENERATED_CONTENT_PROHIBITED',\n  /**\n   * Generated content matched blocklist.\n   */\n  GENERATED_CONTENT_BLOCKLIST = 'GENERATED_CONTENT_BLOCKLIST',\n  /**\n   * Generated image is prohibited.\n   */\n  GENERATED_IMAGE_PROHIBITED = 'GENERATED_IMAGE_PROHIBITED',\n  /**\n   * Generated image contains celebrity.\n   */\n  GENERATED_IMAGE_CELEBRITY = 'GENERATED_IMAGE_CELEBRITY',\n  /**\n   * Generated image contains prominent people detected by rewriter.\n   */\n  GENERATED_IMAGE_PROMINENT_PEOPLE_DETECTED_BY_REWRITER = 'GENERATED_IMAGE_PROMINENT_PEOPLE_DETECTED_BY_REWRITER',\n  /**\n   * Generated image contains identifiable people.\n   */\n  GENERATED_IMAGE_IDENTIFIABLE_PEOPLE = 'GENERATED_IMAGE_IDENTIFIABLE_PEOPLE',\n  /**\n   * Generated image contains minors.\n   */\n  GENERATED_IMAGE_MINORS = 'GENERATED_IMAGE_MINORS',\n  /**\n   * Generated image contains IP violation.\n   */\n  OUTPUT_IMAGE_IP_PROHIBITED = 'OUTPUT_IMAGE_IP_PROHIBITED',\n  /**\n   * Other generated content issue.\n   */\n  GENERATED_OTHER = 'GENERATED_OTHER',\n  /**\n   * Max regeneration attempts reached.\n   */\n  MAX_REGENERATION_REACHED = 'MAX_REGENERATION_REACHED',\n}\n\n/** The type of the VAD signal. */\nexport enum VadSignalType {\n  /**\n   * The default is VAD_SIGNAL_TYPE_UNSPECIFIED.\n   */\n  VAD_SIGNAL_TYPE_UNSPECIFIED = 'VAD_SIGNAL_TYPE_UNSPECIFIED',\n  /**\n   * Start of sentence signal.\n   */\n  VAD_SIGNAL_TYPE_SOS = 'VAD_SIGNAL_TYPE_SOS',\n  /**\n   * End of sentence signal.\n   */\n  VAD_SIGNAL_TYPE_EOS = 'VAD_SIGNAL_TYPE_EOS',\n}\n\n/** The type of the voice activity signal. */\nexport enum VoiceActivityType {\n  /**\n   * The default is VOICE_ACTIVITY_TYPE_UNSPECIFIED.\n   */\n  TYPE_UNSPECIFIED = 'TYPE_UNSPECIFIED',\n  /**\n   * Start of sentence signal.\n   */\n  ACTIVITY_START = 'ACTIVITY_START',\n  /**\n   * End of sentence signal.\n   */\n  ACTIVITY_END = 'ACTIVITY_END',\n}\n\n/** Start of speech sensitivity. */\nexport enum StartSensitivity {\n  /**\n   * The default is START_SENSITIVITY_LOW for Gemini Enterprise Agent Platform and START_SENSITIVITY_HIGH for Gemini Live.\n   */\n  START_SENSITIVITY_UNSPECIFIED = 'START_SENSITIVITY_UNSPECIFIED',\n  /**\n   * Automatic detection will detect the start of speech more often.\n   */\n  START_SENSITIVITY_HIGH = 'START_SENSITIVITY_HIGH',\n  /**\n   * Automatic detection will detect the start of speech less often.\n   */\n  START_SENSITIVITY_LOW = 'START_SENSITIVITY_LOW',\n}\n\n/** End of speech sensitivity. */\nexport enum EndSensitivity {\n  /**\n   * The default is END_SENSITIVITY_LOW for Gemini Enterprise Agent Platform and END_SENSITIVITY_HIGH for Gemini Live.\n   */\n  END_SENSITIVITY_UNSPECIFIED = 'END_SENSITIVITY_UNSPECIFIED',\n  /**\n   * Automatic detection ends speech more often.\n   */\n  END_SENSITIVITY_HIGH = 'END_SENSITIVITY_HIGH',\n  /**\n   * Automatic detection ends speech less often.\n   */\n  END_SENSITIVITY_LOW = 'END_SENSITIVITY_LOW',\n}\n\n/** The different ways of handling user activity. */\nexport enum ActivityHandling {\n  /**\n   * If unspecified, the default behavior is `START_OF_ACTIVITY_INTERRUPTS`.\n   */\n  ACTIVITY_HANDLING_UNSPECIFIED = 'ACTIVITY_HANDLING_UNSPECIFIED',\n  /**\n   * If true, start of activity will interrupt the model's response (also called \"barge in\"). The model's current response will be cut-off in the moment of the interruption. This is the default behavior.\n   */\n  START_OF_ACTIVITY_INTERRUPTS = 'START_OF_ACTIVITY_INTERRUPTS',\n  /**\n   * The model's response will not be interrupted.\n   */\n  NO_INTERRUPTION = 'NO_INTERRUPTION',\n}\n\n/** Options about which input is included in the user's turn. */\nexport enum TurnCoverage {\n  /**\n   * If unspecified, the default behavior is `TURN_INCLUDES_ONLY_ACTIVITY`.\n   */\n  TURN_COVERAGE_UNSPECIFIED = 'TURN_COVERAGE_UNSPECIFIED',\n  /**\n   * The users turn only includes activity since the last turn, excluding inactivity (e.g. silence on the audio stream). This is the default behavior.\n   */\n  TURN_INCLUDES_ONLY_ACTIVITY = 'TURN_INCLUDES_ONLY_ACTIVITY',\n  /**\n   * The users turn includes all realtime input since the last turn, including inactivity (e.g. silence on the audio stream).\n   */\n  TURN_INCLUDES_ALL_INPUT = 'TURN_INCLUDES_ALL_INPUT',\n  /**\n   * Includes audio activity and all video since the last turn. With automatic activity detection, audio activity means speech and excludes silence.\n   */\n  TURN_INCLUDES_AUDIO_ACTIVITY_AND_ALL_VIDEO = 'TURN_INCLUDES_AUDIO_ACTIVITY_AND_ALL_VIDEO',\n}\n\n/** Scale of the generated music. */\nexport enum Scale {\n  /**\n   * Default value. This value is unused.\n   */\n  SCALE_UNSPECIFIED = 'SCALE_UNSPECIFIED',\n  /**\n   * C major or A minor.\n   */\n  C_MAJOR_A_MINOR = 'C_MAJOR_A_MINOR',\n  /**\n   * Db major or Bb minor.\n   */\n  D_FLAT_MAJOR_B_FLAT_MINOR = 'D_FLAT_MAJOR_B_FLAT_MINOR',\n  /**\n   * D major or B minor.\n   */\n  D_MAJOR_B_MINOR = 'D_MAJOR_B_MINOR',\n  /**\n   * Eb major or C minor\n   */\n  E_FLAT_MAJOR_C_MINOR = 'E_FLAT_MAJOR_C_MINOR',\n  /**\n   * E major or Db minor.\n   */\n  E_MAJOR_D_FLAT_MINOR = 'E_MAJOR_D_FLAT_MINOR',\n  /**\n   * F major or D minor.\n   */\n  F_MAJOR_D_MINOR = 'F_MAJOR_D_MINOR',\n  /**\n   * Gb major or Eb minor.\n   */\n  G_FLAT_MAJOR_E_FLAT_MINOR = 'G_FLAT_MAJOR_E_FLAT_MINOR',\n  /**\n   * G major or E minor.\n   */\n  G_MAJOR_E_MINOR = 'G_MAJOR_E_MINOR',\n  /**\n   * Ab major or F minor.\n   */\n  A_FLAT_MAJOR_F_MINOR = 'A_FLAT_MAJOR_F_MINOR',\n  /**\n   * A major or Gb minor.\n   */\n  A_MAJOR_G_FLAT_MINOR = 'A_MAJOR_G_FLAT_MINOR',\n  /**\n   * Bb major or G minor.\n   */\n  B_FLAT_MAJOR_G_MINOR = 'B_FLAT_MAJOR_G_MINOR',\n  /**\n   * B major or Ab minor.\n   */\n  B_MAJOR_A_FLAT_MINOR = 'B_MAJOR_A_FLAT_MINOR',\n}\n\n/** The mode of music generation. */\nexport enum MusicGenerationMode {\n  /**\n   * Rely on the server default generation mode.\n   */\n  MUSIC_GENERATION_MODE_UNSPECIFIED = 'MUSIC_GENERATION_MODE_UNSPECIFIED',\n  /**\n   * Steer text prompts to regions of latent space with higher quality\n      music.\n   */\n  QUALITY = 'QUALITY',\n  /**\n   * Steer text prompts to regions of latent space with a larger\n      diversity of music.\n   */\n  DIVERSITY = 'DIVERSITY',\n  /**\n   * Steer text prompts to regions of latent space more likely to\n      generate music with vocals.\n   */\n  VOCALIZATION = 'VOCALIZATION',\n}\n\n/** The playback control signal to apply to the music generation. */\nexport enum LiveMusicPlaybackControl {\n  /**\n   * This value is unused.\n   */\n  PLAYBACK_CONTROL_UNSPECIFIED = 'PLAYBACK_CONTROL_UNSPECIFIED',\n  /**\n   * Start generating the music.\n   */\n  PLAY = 'PLAY',\n  /**\n   * Hold the music generation. Use PLAY to resume from the current position.\n   */\n  PAUSE = 'PAUSE',\n  /**\n   * Stop the music generation and reset the context (prompts retained).\n      Use PLAY to restart the music generation.\n   */\n  STOP = 'STOP',\n  /**\n   * Reset the context of the music generation without stopping it.\n      Retains the current prompts and config.\n   */\n  RESET_CONTEXT = 'RESET_CONTEXT',\n}\n\n/** Media resolution for the input media. */\nexport declare interface PartMediaResolution {\n  /** The tokenization quality used for given media.\n   */\n  level?: PartMediaResolutionLevel;\n  /** Specifies the required sequence length for media tokenization.\n   */\n  numTokens?: number;\n}\n\n/** A predicted server-side `ToolCall` returned from the model.\n\nThis message contains information about a tool that the model wants to invoke.\nThe client is NOT expected to execute this `ToolCall`. Instead, the\nclient should pass this `ToolCall` back to the API in a subsequent turn\nwithin a `Content` message, along with the corresponding `ToolResponse`. */\nexport declare interface ToolCall {\n  /** Unique identifier of the tool call. The server returns the tool response with the matching `id`. */\n  id?: string;\n  /** The type of tool that was called. */\n  toolType?: ToolType;\n  /** The tool call arguments. Example: {\"arg1\": \"value1\", \"arg2\": \"value2\"}. */\n  args?: Record<string, unknown>;\n}\n\n/** The output from a server-side `ToolCall` execution.\n\nThis message contains the results of a tool invocation that was initiated by a\n`ToolCall` from the model. The client should pass this `ToolResponse` back to\nthe API in a subsequent turn within a `Content` message, along with the\ncorresponding `ToolCall`. */\nexport class ToolResponse {\n  /** The identifier of the tool call this response is for. */\n  id?: string;\n  /** The type of tool that was called, matching the tool_type in the corresponding ToolCall. */\n  toolType?: ToolType;\n  /** The tool response. */\n  response?: Record<string, unknown>;\n}\n\n/** Result of executing the ExecutableCode. Generated only when the `CodeExecution` tool is used. */\nexport declare interface CodeExecutionResult {\n  /** Required. Outcome of the code execution. */\n  outcome?: Outcome;\n  /** Optional. Contains stdout when code execution is successful, stderr or other description otherwise. */\n  output?: string;\n  /** Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. This field is not supported in Vertex AI. */\n  id?: string;\n}\n\n/** Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding CodeExecutionResult will also be generated. */\nexport declare interface ExecutableCode {\n  /** Required. The code to be executed. */\n  code?: string;\n  /** Required. Programming language of the `code`. */\n  language?: Language;\n  /** Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. This field is not supported in Vertex AI. */\n  id?: string;\n}\n\n/** URI-based data. A FileData message contains a URI pointing to data of a specific media type. It is used to represent images, audio, and video stored in Google Cloud Storage. */\nexport declare interface FileData {\n  /** Optional. The display name of the file. Used to provide a label or filename to distinguish files. This field is only returned in `PromptMessage` for prompt management. It is used in the Gemini calls only when server side tools (`code_execution`, `google_search`, and `url_context`) are enabled. This field is not supported in Gemini API. */\n  displayName?: string;\n  /** Required. The URI of the file in Google Cloud Storage. */\n  fileUri?: string;\n  /** Required. The IANA standard MIME type of the source data. */\n  mimeType?: string;\n}\n\n/** Partial argument value of the function call. This data type is not supported in Gemini API. */\nexport declare interface PartialArg {\n  /** Optional. Represents a boolean value. */\n  boolValue?: boolean;\n  /** Required. A JSON Path (RFC 9535) to the argument being streamed. https://datatracker.ietf.org/doc/html/rfc9535. e.g. \"$.foo.bar[0].data\". */\n  jsonPath?: string;\n  /** Optional. Represents a null value. */\n  nullValue?: 'NULL_VALUE';\n  /** Optional. Represents a double value. */\n  numberValue?: number;\n  /** Optional. Represents a string value. */\n  stringValue?: string;\n  /** Optional. Whether this is not the last part of the same json_path. If true, another PartialArg message for the current json_path is expected to follow. */\n  willContinue?: boolean;\n}\n\n/** A predicted FunctionCall returned from the model that contains a string representing the FunctionDeclaration.name and a structured JSON object containing the parameters and their values. */\nexport declare interface FunctionCall {\n  /** Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. */\n  id?: string;\n  /** Optional. The function parameters and values in JSON object format. See FunctionDeclaration.parameters for parameter details. */\n  args?: Record<string, unknown>;\n  /** Optional. The name of the function to call. Matches FunctionDeclaration.name. */\n  name?: string;\n  /** Optional. The partial argument value of the function call. If provided, represents the arguments/fields that are streamed incrementally. This field is not supported in Gemini API. */\n  partialArgs?: PartialArg[];\n  /** Optional. Whether this is the last part of the FunctionCall. If true, another partial message for the current FunctionCall is expected to follow. This field is not supported in Gemini API. */\n  willContinue?: boolean;\n}\n\n/** Raw media bytes for function response. Text should not be sent as raw bytes, use the 'text' field. */\nexport class FunctionResponseBlob {\n  /** Required. The IANA standard MIME type of the source data. */\n  mimeType?: string;\n  /** Required. Raw bytes.\n   * @remarks Encoded as base64 string. */\n  data?: string;\n  /** Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is currently used in the Gemini GenerateContent calls only when server side tools (code_execution, google_search, and url_context) are enabled. This field is not supported in Gemini API. */\n  displayName?: string;\n}\n\n/** URI based data for function response. This data type is not supported in Gemini API. */\nexport class FunctionResponseFileData {\n  /** Required. URI. */\n  fileUri?: string;\n  /** Required. The IANA standard MIME type of the source data. */\n  mimeType?: string;\n  /** Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is currently used in the Gemini GenerateContent calls only when server side tools (code_execution, google_search, and url_context) are enabled. */\n  displayName?: string;\n}\n\n/** A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes. */\nexport class FunctionResponsePart {\n  /** Inline media bytes. */\n  inlineData?: FunctionResponseBlob;\n  /** URI based data. This field is not supported in Gemini API. */\n  fileData?: FunctionResponseFileData;\n}\n/**\n * Creates a `FunctionResponsePart` object from a `base64` encoded `string`.\n */\nexport function createFunctionResponsePartFromBase64(\n  data: string,\n  mimeType: string,\n): FunctionResponsePart {\n  return {\n    inlineData: {\n      data: data,\n      mimeType: mimeType,\n    },\n  };\n}\n/**\n * Creates a `FunctionResponsePart` object from a `URI` string.\n */\nexport function createFunctionResponsePartFromUri(\n  uri: string,\n  mimeType: string,\n): FunctionResponsePart {\n  return {\n    fileData: {\n      fileUri: uri,\n      mimeType: mimeType,\n    },\n  };\n}\n\n/** The result output from a FunctionCall that contains a string representing the FunctionDeclaration.name and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a `FunctionCall` made based on model prediction. */\nexport class FunctionResponse {\n  /** Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. This field is not supported in Vertex AI. */\n  willContinue?: boolean;\n  /** Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. */\n  scheduling?: FunctionResponseScheduling;\n  /** Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. */\n  parts?: FunctionResponsePart[];\n  /** Optional. The id of the function call this response is for. Populated by the client to match the corresponding function call `id`. */\n  id?: string;\n  /** Required. The name of the function to call. Matches FunctionDeclaration.name and FunctionCall.name. */\n  name?: string;\n  /** Required. The function response in JSON object format. Use \"output\" key to specify function output and \"error\" key to specify error details (if any). If \"output\" and \"error\" keys are not specified, then whole \"response\" is treated as function output. */\n  response?: Record<string, unknown>;\n}\n\n/** A content blob. A Blob contains data of a specific media type. It is used to represent images, audio, and video. */\nexport declare interface Blob {\n  /** Required. The raw bytes of the data.\n   * @remarks Encoded as base64 string. */\n  data?: string;\n  /** Optional. The display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in `PromptMessage` for prompt management. It is used in the Gemini calls only when server-side tools (`code_execution`, `google_search`, and `url_context`) are enabled. This field is not supported in Gemini API. */\n  displayName?: string;\n  /** Required. The IANA standard MIME type of the source data. */\n  mimeType?: string;\n}\n\n/** Provides metadata for a video, including the start and end offsets for clipping and the frame rate. */\nexport declare interface VideoMetadata {\n  /** Optional. The end offset of the video. */\n  endOffset?: string;\n  /** Optional. The frame rate of the video sent to the model. If not specified, the default value is 1.0. The valid range is (0.0, 24.0]. */\n  fps?: number;\n  /** Optional. The start offset of the video. */\n  startOffset?: string;\n}\n\n/** A datatype containing media content.\n\nExactly one field within a Part should be set, representing the specific type\nof content being conveyed. Using multiple fields within the same `Part`\ninstance is considered invalid. */\nexport declare interface Part {\n  /** Media resolution for the input media.\n   */\n  mediaResolution?: PartMediaResolution;\n  /** Optional. The result of executing the ExecutableCode. */\n  codeExecutionResult?: CodeExecutionResult;\n  /** Optional. Code generated by the model that is intended to be executed. */\n  executableCode?: ExecutableCode;\n  /** Optional. The URI-based data of the part. This can be used to include files from Google Cloud Storage. */\n  fileData?: FileData;\n  /** Optional. A predicted function call returned from the model. This contains the name of the function to call and the arguments to pass to the function. */\n  functionCall?: FunctionCall;\n  /** Optional. The result of a function call. This is used to provide the model with the result of a function call that it predicted. */\n  functionResponse?: FunctionResponse;\n  /** Optional. The inline data content of the part. This can be used to include images, audio, or video in a request. */\n  inlineData?: Blob;\n  /** Optional. The text content of the part. When sent from the VSCode Gemini Code Assist extension, references to @mentioned items will be converted to markdown boldface text. For example `@my-repo` will be converted to and sent as `**my-repo**` by the IDE agent. */\n  text?: string;\n  /** Optional. Indicates whether the `part` represents the model's thought process or reasoning. */\n  thought?: boolean;\n  /** Optional. An opaque signature for the thought so it can be reused in subsequent requests.\n   * @remarks Encoded as base64 string. */\n  thoughtSignature?: string;\n  /** Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data. */\n  videoMetadata?: VideoMetadata;\n  /** Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API. */\n  toolCall?: ToolCall;\n  /** The output from a server-side ToolCall execution. This field is populated by the client with the results of executing the corresponding ToolCall. */\n  toolResponse?: ToolResponse;\n  /** Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. This field is not supported in Vertex AI. */\n  partMetadata?: Record<string, unknown>;\n}\n/**\n * Creates a `Part` object from a `URI` string.\n */\nexport function createPartFromUri(\n  uri: string,\n  mimeType: string,\n  mediaResolution?: PartMediaResolutionLevel,\n): Part {\n  return {\n    fileData: {\n      fileUri: uri,\n      mimeType: mimeType,\n    },\n    ...(mediaResolution && {mediaResolution: {level: mediaResolution}}),\n  };\n}\n/**\n * Creates a `Part` object from a `text` string.\n */\nexport function createPartFromText(text: string): Part {\n  return {\n    text: text,\n  };\n}\n/**\n * Creates a `Part` object from a `FunctionCall` object.\n */\nexport function createPartFromFunctionCall(\n  name: string,\n  args: Record<string, unknown>,\n): Part {\n  return {\n    functionCall: {\n      name: name,\n      args: args,\n    },\n  };\n}\n/**\n * Creates a `Part` object from a `FunctionResponse` object.\n */\nexport function createPartFromFunctionResponse(\n  id: string,\n  name: string,\n  response: Record<string, unknown>,\n  parts: FunctionResponsePart[] = [],\n): Part {\n  return {\n    functionResponse: {\n      id: id,\n      name: name,\n      response: response,\n      ...(parts.length > 0 && {parts}),\n    },\n  };\n}\n/**\n * Creates a `Part` object from a `base64` encoded `string`.\n */\nexport function createPartFromBase64(\n  data: string,\n  mimeType: string,\n  mediaResolution?: PartMediaResolutionLevel,\n): Part {\n  return {\n    inlineData: {\n      data: data,\n      mimeType: mimeType,\n    },\n    ...(mediaResolution && {mediaResolution: {level: mediaResolution}}),\n  };\n}\n/**\n * Creates a `Part` object from the `outcome` and `output` of a `CodeExecutionResult` object.\n */\nexport function createPartFromCodeExecutionResult(\n  outcome: Outcome,\n  output: string,\n): Part {\n  return {\n    codeExecutionResult: {\n      outcome: outcome,\n      output: output,\n    },\n  };\n}\n/**\n * Creates a `Part` object from the `code` and `language` of an `ExecutableCode` object.\n */\nexport function createPartFromExecutableCode(\n  code: string,\n  language: Language,\n): Part {\n  return {\n    executableCode: {\n      code: code,\n      language: language,\n    },\n  };\n}\n\n/** Contains the multi-part content of a message. */\nexport declare interface Content {\n  /** List of parts that constitute a single message. Each part may have\n      a different IANA MIME type. */\n  parts?: Part[];\n  /** Optional. The producer of the content. Must be either 'user' or 'model'. If not set, the service will default to 'user'. */\n  role?: string;\n}\nfunction _isPart(obj: unknown): obj is Part {\n  if (typeof obj === 'object' && obj !== null) {\n    return (\n      'fileData' in obj ||\n      'text' in obj ||\n      'functionCall' in obj ||\n      'functionResponse' in obj ||\n      'inlineData' in obj ||\n      'videoMetadata' in obj ||\n      'codeExecutionResult' in obj ||\n      'executableCode' in obj\n    );\n  }\n  return false;\n}\nfunction _toParts(partOrString: PartListUnion | string): Part[] {\n  const parts: Part[] = [];\n  if (typeof partOrString === 'string') {\n    parts.push(createPartFromText(partOrString));\n  } else if (_isPart(partOrString)) {\n    parts.push(partOrString);\n  } else if (Array.isArray(partOrString)) {\n    if (partOrString.length === 0) {\n      throw new Error('partOrString cannot be an empty array');\n    }\n    for (const part of partOrString) {\n      if (typeof part === 'string') {\n        parts.push(createPartFromText(part));\n      } else if (_isPart(part)) {\n        parts.push(part);\n      } else {\n        throw new Error('element in PartUnion must be a Part object or string');\n      }\n    }\n  } else {\n    throw new Error('partOrString must be a Part object, string, or array');\n  }\n  return parts;\n}\n/**\n * Creates a `Content` object with a user role from a `PartListUnion` object or `string`.\n */\nexport function createUserContent(\n  partOrString: PartListUnion | string,\n): Content {\n  return {\n    role: 'user',\n    parts: _toParts(partOrString),\n  };\n}\n\n/**\n * Creates a `Content` object with a model role from a `PartListUnion` object or `string`.\n */\nexport function createModelContent(\n  partOrString: PartListUnion | string,\n): Content {\n  return {\n    role: 'model',\n    parts: _toParts(partOrString),\n  };\n}\n/** HTTP retry options to be used in each of the requests. */\nexport declare interface HttpRetryOptions {\n  /** Maximum number of attempts, including the original request.\n      If 0 or 1, it means no retries. If not specified, default to 5. */\n  attempts?: number;\n}\n\n/** HTTP options to be used in each of the requests. */\nexport declare interface HttpOptions {\n  /** The base URL for the AI platform service endpoint. */\n  baseUrl?: string;\n  /** The resource scope used to constructing the resource name when base_url is set */\n  baseUrlResourceScope?: ResourceScope;\n  /** Specifies the version of the API to use. */\n  apiVersion?: string;\n  /** Additional HTTP headers to be sent with the request. */\n  headers?: Record<string, string>;\n  /** Timeout for the request in milliseconds. */\n  timeout?: number;\n  /** Extra parameters to add to the request body.\n      The structure must match the backend API's request structure.\n      - Gemini Enterprise Agent Platform backend API docs: https://cloud.google.com/vertex-ai/docs/reference/rest\n      - GeminiAPI backend API docs: https://ai.google.dev/api/rest */\n  extraBody?: Record<string, unknown>;\n  /** HTTP retry options for the request. */\n  retryOptions?: HttpRetryOptions;\n}\n\n/** Schema is used to define the format of input/output data.\n\nRepresents a select subset of an [OpenAPI 3.0 schema\nobject](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may\nbe added in the future as needed. */\nexport declare interface Schema {\n  /** Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`. */\n  anyOf?: Schema[];\n  /** Optional. Default value to use if the field is not specified. */\n  default?: unknown;\n  /** Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt. */\n  description?: string;\n  /** Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:[\"EAST\", \"NORTH\", \"SOUTH\", \"WEST\"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:[\"101\", \"201\", \"301\"]}` */\n  enum?: string[];\n  /** Optional. Example of an instance of this schema. */\n  example?: unknown;\n  /** Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type. */\n  format?: string;\n  /** Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array. */\n  items?: Schema;\n  /** Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array. */\n  maxItems?: string;\n  /** Optional. If type is `STRING`, `max_length` specifies the maximum length of the string. */\n  maxLength?: string;\n  /** Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided. */\n  maxProperties?: string;\n  /** Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value. */\n  maximum?: number;\n  /** Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array. */\n  minItems?: string;\n  /** Optional. If type is `STRING`, `min_length` specifies the minimum length of the string. */\n  minLength?: string;\n  /** Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided. */\n  minProperties?: string;\n  /** Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value. */\n  minimum?: number;\n  /** Optional. Indicates if the value of this field can be null. */\n  nullable?: boolean;\n  /** Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match. */\n  pattern?: string;\n  /** Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object. */\n  properties?: Record<string, Schema>;\n  /** Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties. */\n  propertyOrdering?: string[];\n  /** Optional. If type is `OBJECT`, `required` lists the names of properties that must be present. */\n  required?: string[];\n  /** Optional. Title for the schema. */\n  title?: string;\n  /** Optional. Data type of the schema field. */\n  type?: Type;\n}\n\n/** Config for model selection. */\nexport declare interface ModelSelectionConfig {\n  /** Options for feature selection preference. */\n  featureSelectionPreference?: FeatureSelectionPreference;\n}\n\n/** Config for authentication with API key. This data type is not supported in Gemini API. */\nexport declare interface ApiKeyConfig {\n  /** Optional. The name of the SecretManager secret version resource storing the API key. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If both `api_key_secret` and `api_key_string` are specified, this field takes precedence over `api_key_string`. - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource. */\n  apiKeySecret?: string;\n  /** Optional. The API key to be used in the request directly. */\n  apiKeyString?: string;\n  /** Optional. The location of the API key. */\n  httpElementLocation?: HttpElementLocation;\n  /** Optional. The parameter name of the API key. E.g. If the API request is \"https://example.com/act?api_key=\", \"api_key\" would be the parameter name. */\n  name?: string;\n}\n\n/** Config for Google Service Account Authentication. This data type is not supported in Gemini API. */\nexport declare interface AuthConfigGoogleServiceAccountConfig {\n  /** Optional. The service account that the extension execution service runs as. - If the service account is specified, the `iam.serviceAccounts.getAccessToken` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified service account. - If not specified, the Vertex AI Extension Service Agent will be used to execute the Extension. */\n  serviceAccount?: string;\n}\n\n/** Config for HTTP Basic Authentication. This data type is not supported in Gemini API. */\nexport declare interface AuthConfigHttpBasicAuthConfig {\n  /** Required. The name of the SecretManager secret version resource storing the base64 encoded credentials. Format: `projects/{project}/secrets/{secrete}/versions/{version}` - If specified, the `secretmanager.versions.access` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the specified resource. */\n  credentialSecret?: string;\n}\n\n/** Config for user oauth. This data type is not supported in Gemini API. */\nexport declare interface AuthConfigOauthConfig {\n  /** Access token for extension endpoint. Only used to propagate token from [[ExecuteExtensionRequest.runtime_auth_config]] at request time. */\n  accessToken?: string;\n  /** The service account used to generate access tokens for executing the Extension. - If the service account is specified, the `iam.serviceAccounts.getAccessToken` permission should be granted to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) on the provided service account. */\n  serviceAccount?: string;\n}\n\n/** Config for user OIDC auth. This data type is not supported in Gemini API. */\nexport declare interface AuthConfigOidcConfig {\n  /** OpenID Connect formatted ID token for extension endpoint. Only used to propagate token from [[ExecuteExtensionRequest.runtime_auth_config]] at request time. */\n  idToken?: string;\n  /** The service account used to generate an OpenID Connect (OIDC)-compatible JWT token signed by the Google OIDC Provider (accounts.google.com) for extension endpoint (https://cloud.google.com/iam/docs/create-short-lived-credentials-direct#sa-credentials-oidc). - The audience for the token will be set to the URL in the server url defined in the OpenApi spec. - If the service account is provided, the service account should grant `iam.serviceAccounts.getOpenIdToken` permission to Vertex AI Extension Service Agent (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents). */\n  serviceAccount?: string;\n}\n\n/** The authentication config to access the API. */\nexport declare interface AuthConfig {\n  /** The authentication config to access the API. Only API key is supported. This field is not supported in Gemini API. */\n  apiKey?: string;\n  /** Config for API key auth. */\n  apiKeyConfig?: ApiKeyConfig;\n  /** Type of auth scheme. */\n  authType?: AuthType;\n  /** Config for Google Service Account auth. */\n  googleServiceAccountConfig?: AuthConfigGoogleServiceAccountConfig;\n  /** Config for HTTP Basic auth. */\n  httpBasicAuthConfig?: AuthConfigHttpBasicAuthConfig;\n  /** Config for user oauth. */\n  oauthConfig?: AuthConfigOauthConfig;\n  /** Config for user OIDC auth. */\n  oidcConfig?: AuthConfigOidcConfig;\n}\n\n/** Tool to retrieve knowledge from Google Maps. */\nexport declare interface GoogleMaps {\n  /** The authentication config to access the API. Only API key is supported. This field is not supported in Gemini API. */\n  authConfig?: AuthConfig;\n  /** Deprecated. The Google Maps contextual widget behavior in Grounding with Google Maps is being deprecated; this field is planned for removal and no longer has any effect once removed. Optional. Whether to return a widget context token in the GroundingMetadata of the response. */\n  enableWidget?: boolean;\n}\n\n/** The API secret. This data type is not supported in Gemini API. */\nexport declare interface ApiAuthApiKeyConfig {\n  /** Required. The SecretManager secret version resource name storing API key. e.g. projects/{project}/secrets/{secret}/versions/{version} */\n  apiKeySecretVersion?: string;\n  /** The API key string. Either this or `api_key_secret_version` must be set. */\n  apiKeyString?: string;\n}\n\n/** The generic reusable api auth config. Deprecated. Please use AuthConfig (google/cloud/aiplatform/master/auth.proto) instead. This data type is not supported in Gemini API. */\nexport declare interface ApiAuth {\n  /** The API secret. */\n  apiKeyConfig?: ApiAuthApiKeyConfig;\n}\n\n/** The search parameters to use for the ELASTIC_SEARCH spec. This data type is not supported in Gemini API. */\nexport declare interface ExternalApiElasticSearchParams {\n  /** The ElasticSearch index to use. */\n  index?: string;\n  /** Optional. Number of hits (chunks) to request. When specified, it is passed to Elasticsearch as the `num_hits` param. */\n  numHits?: number;\n  /** The ElasticSearch search template to use. */\n  searchTemplate?: string;\n}\n\n/** The search parameters to use for SIMPLE_SEARCH spec. This data type is not supported in Gemini API. */\nexport declare interface ExternalApiSimpleSearchParams {}\n\n/** Retrieve from data source powered by external API for grounding. The external API is not owned by Google, but need to follow the pre-defined API spec. This data type is not supported in Gemini API. */\nexport declare interface ExternalApi {\n  /** The authentication config to access the API. Deprecated. Please use auth_config instead. */\n  apiAuth?: ApiAuth;\n  /** The API spec that the external API implements. */\n  apiSpec?: ApiSpec;\n  /** The authentication config to access the API. */\n  authConfig?: AuthConfig;\n  /** Parameters for the elastic search API. */\n  elasticSearchParams?: ExternalApiElasticSearchParams;\n  /** The endpoint of the external API. The system will call the API at this endpoint to retrieve the data for grounding. Example: https://acme.com:443/search */\n  endpoint?: string;\n  /** Parameters for the simple search API. */\n  simpleSearchParams?: ExternalApiSimpleSearchParams;\n}\n\n/** Define data stores within engine to filter on in a search call and configurations for those data stores. For more information, see https://cloud.google.com/generative-ai-app-builder/docs/reference/rpc/google.cloud.discoveryengine.v1#datastorespec. This data type is not supported in Gemini API. */\nexport declare interface VertexAISearchDataStoreSpec {\n  /** Full resource name of DataStore, such as Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}` */\n  dataStore?: string;\n  /** Optional. Filter specification to filter documents in the data store specified by data_store field. For more information on filtering, see [Filtering](https://cloud.google.com/generative-ai-app-builder/docs/filter-search-metadata) */\n  filter?: string;\n}\n\n/** Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder. This data type is not supported in Gemini API. */\nexport declare interface VertexAISearch {\n  /** Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used. */\n  dataStoreSpecs?: VertexAISearchDataStoreSpec[];\n  /** Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}` */\n  datastore?: string;\n  /** Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}` */\n  engine?: string;\n  /** Optional. Filter strings to be passed to the search API. */\n  filter?: string;\n  /** Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10. */\n  maxResults?: number;\n}\n\n/** The definition of the Rag resource. This data type is not supported in Gemini API. */\nexport declare interface VertexRagStoreRagResource {\n  /** Optional. RagCorpora resource name. Format: `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}` */\n  ragCorpus?: string;\n  /** Optional. rag_file_id. The files should be in the same rag_corpus set in rag_corpus field. */\n  ragFileIds?: string[];\n}\n\n/** Config for filters. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfigFilter {\n  /** Optional. String for metadata filtering. */\n  metadataFilter?: string;\n  /** Optional. Only returns contexts with vector distance smaller than the threshold. */\n  vectorDistanceThreshold?: number;\n  /** Optional. Only returns contexts with vector similarity larger than the threshold. */\n  vectorSimilarityThreshold?: number;\n}\n\n/** Config for Hybrid Search. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfigHybridSearch {\n  /** Optional. Alpha value controls the weight between dense and sparse vector search results. The range is [0, 1], while 0 means sparse vector search only and 1 means dense vector search only. The default value is 0.5 which balances sparse and dense vector search equally. */\n  alpha?: number;\n}\n\n/** Config for LlmRanker. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfigRankingLlmRanker {\n  /** Optional. The model name used for ranking. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models). */\n  modelName?: string;\n}\n\n/** Config for Rank Service. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfigRankingRankService {\n  /** Optional. The model name of the rank service. Format: `semantic-ranker-512@latest` */\n  modelName?: string;\n}\n\n/** Config for ranking and reranking. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfigRanking {\n  /** Optional. Config for LlmRanker. */\n  llmRanker?: RagRetrievalConfigRankingLlmRanker;\n  /** Optional. Config for Rank Service. */\n  rankService?: RagRetrievalConfigRankingRankService;\n}\n\n/** Specifies the context retrieval config. This data type is not supported in Gemini API. */\nexport declare interface RagRetrievalConfig {\n  /** Optional. Config for filters. */\n  filter?: RagRetrievalConfigFilter;\n  /** Optional. Config for Hybrid Search. */\n  hybridSearch?: RagRetrievalConfigHybridSearch;\n  /** Optional. Config for ranking and reranking. */\n  ranking?: RagRetrievalConfigRanking;\n  /** Optional. The number of contexts to retrieve. */\n  topK?: number;\n}\n\n/** Retrieve from Vertex RAG Store for grounding. This data type is not supported in Gemini API. */\nexport declare interface VertexRagStore {\n  /** Optional. Deprecated. Please use rag_resources instead. */\n  ragCorpora?: string[];\n  /** Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support. */\n  ragResources?: VertexRagStoreRagResource[];\n  /** Optional. The retrieval config for the Rag query. */\n  ragRetrievalConfig?: RagRetrievalConfig;\n  /** Optional. Number of top k results to return from the selected corpora. */\n  similarityTopK?: number;\n  /** Optional. Currently only supported for Gemini Multimodal Live API. In Gemini Multimodal Live API, if `store_context` bool is specified, Gemini will leverage it to automatically memorize the interactions between the client and Gemini, and retrieve context when needed to augment the response generation for users' ongoing and future interactions. */\n  storeContext?: boolean;\n  /** Optional. Only return results with vector distance smaller than the threshold. */\n  vectorDistanceThreshold?: number;\n}\n\n/** Defines a retrieval tool that model can call to access external knowledge. This data type is not supported in Gemini API. */\nexport declare interface Retrieval {\n  /** Optional. Deprecated. This option is no longer supported. */\n  disableAttribution?: boolean;\n  /** Use data source powered by external API for grounding. */\n  externalApi?: ExternalApi;\n  /** Set to use data source powered by Vertex AI Search. */\n  vertexAiSearch?: VertexAISearch;\n  /** Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService. */\n  vertexRagStore?: VertexRagStore;\n}\n\n/** Tool to support computer use. */\nexport declare interface ComputerUse {\n  /** Required. The environment being operated. */\n  environment?: Environment;\n  /** Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. */\n  excludedPredefinedFunctions?: string[];\n  /** Optional. Enables the prompt injection detection check on computer-use request. */\n  enablePromptInjectionDetection?: boolean;\n  /** Optional. Disabled safety policies for computer use. This field is not supported in Vertex AI. */\n  disabledSafetyPolicies?: SafetyPolicy[];\n}\n\n/** The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. This data type is not supported in Vertex AI. */\nexport declare interface FileSearch {\n  /** Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` */\n  fileSearchStoreNames?: string[];\n  /** Optional. The number of semantic retrieval chunks to retrieve. */\n  topK?: number;\n  /** Optional. Metadata filter to apply to the semantic retrieval documents and chunks. */\n  metadataFilter?: string;\n}\n\n/** Standard web search for grounding and related configurations. Only text results are returned. */\nexport declare interface WebSearch {}\n\n/** Image search for grounding and related configurations. */\nexport declare interface ImageSearch {}\n\n/** Different types of search that can be enabled on the GoogleSearch tool. */\nexport declare interface SearchTypes {\n  /** Optional. Setting this field enables web search. Only text results are returned. */\n  webSearch?: WebSearch;\n  /** Optional. Setting this field enables image search. Image bytes are returned. */\n  imageSearch?: ImageSearch;\n}\n\n/** Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. */\nexport declare interface Interval {\n  /** Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. */\n  endTime?: string;\n  /** Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. */\n  startTime?: string;\n}\n\n/** GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. */\nexport declare interface GoogleSearch {\n  /** Optional. The set of search types to enable. If not set, web search is enabled by default. */\n  searchTypes?: SearchTypes;\n  /** Optional. Sites with confidence level chosen & above this value will be blocked from the search results. This field is not supported in Gemini API. */\n  blockingConfidence?: PhishBlockThreshold;\n  /** Optional. List of domains to be excluded from the search results. The default limit is 2000 domains. Example: [\"amazon.com\", \"facebook.com\"]. This field is not supported in Gemini API. */\n  excludeDomains?: string[];\n  /** Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa). This field is not supported in Vertex AI. */\n  timeRangeFilter?: Interval;\n}\n\n/** Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. This data type is not supported in Gemini API. */\nexport declare interface ToolCodeExecution {}\n\n/** Tool to search public web data, powered by Vertex AI Search and Sec4 compliance. This data type is not supported in Gemini API. */\nexport declare interface EnterpriseWebSearch {\n  /** Optional. Sites with confidence level chosen & above this value will be blocked from the search results. */\n  blockingConfidence?: PhishBlockThreshold;\n  /** Optional. List of domains to be excluded from the search results. The default limit is 2000 domains. */\n  excludeDomains?: string[];\n}\n\n/** Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name, description, parameters and response type. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client. */\nexport declare interface FunctionDeclaration {\n  /** Optional. Description and purpose of the function. Model uses it to decide how and whether to call the function. */\n  description?: string;\n  /** Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores, dots, colons and dashes, with a maximum length of 128. */\n  name?: string;\n  /** Optional. Describes the parameters to this function in JSON Schema Object format. Reflects the Open API 3.03 Parameter Object. string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter. For function with no parameters, this can be left unset. Parameter names must start with a letter or an underscore and must only contain chars a-z, A-Z, 0-9, or underscores with a maximum length of 64. Example with 1 required and 1 optional parameter: type: OBJECT properties: param1: type: STRING param2: type: INTEGER required: - param1 */\n  parameters?: Schema;\n  /** Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`. */\n  parametersJsonSchema?: unknown;\n  /** Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function. */\n  response?: Schema;\n  /** Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. */\n  responseJsonSchema?: unknown;\n  /** Optional. Specifies the function Behavior. If not specified, the system keeps the current function call behavior. This field is currently only supported by the BidiGenerateContent method. */\n  behavior?: Behavior;\n}\n\n/** Describes the options to customize dynamic retrieval. */\nexport declare interface DynamicRetrievalConfig {\n  /** Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used. */\n  dynamicThreshold?: number;\n  /** The mode of the predictor to be used in dynamic retrieval. */\n  mode?: DynamicRetrievalConfigMode;\n}\n\n/** Tool to retrieve public web data for grounding, powered by Google. */\nexport declare interface GoogleSearchRetrieval {\n  /** Specifies the dynamic retrieval configuration for the given source. */\n  dynamicRetrievalConfig?: DynamicRetrievalConfig;\n}\n\n/** ParallelAiSearch tool type. A tool that uses the Parallel.ai search engine for grounding. This data type is not supported in Gemini API. */\nexport declare interface ToolParallelAiSearch {\n  /** Optional. The API key for ParallelAiSearch. If an API key is not provided, the system will attempt to verify access by checking for an active Parallel.ai subscription through the Google Cloud Marketplace. See https://docs.parallel.ai/search/search-quickstart for more details. */\n  apiKey?: string;\n  /** Optional. Custom configs for ParallelAiSearch. This field can be used to pass any parameter from the Parallel.ai Search API. See the Parallel.ai documentation for the full list of available parameters and their usage: https://docs.parallel.ai/api-reference/search-beta/search Currently only `source_policy`, `excerpts`, `max_results`, `mode`, `fetch_policy` can be set via this field. For example: { \"source_policy\": { \"include_domains\": [\"google.com\", \"wikipedia.org\"], \"exclude_domains\": [\"example.com\"] }, \"fetch_policy\": { \"max_age_seconds\": 3600 } } */\n  customConfigs?: Record<string, unknown>;\n}\n\n/** Tool to support URL context. */\nexport declare interface UrlContext {}\n\n/** A transport that can stream HTTP requests and responses. Next ID: 6. This data type is not supported in Vertex AI. */\nexport declare interface StreamableHttpTransport {\n  /** Optional: Fields for authentication headers, timeouts, etc., if needed. */\n  headers?: Record<string, string>;\n  /** Timeout for SSE read operations. */\n  sseReadTimeout?: string;\n  /** Whether to close the client session when the transport closes. */\n  terminateOnClose?: boolean;\n  /** HTTP timeout for regular operations. */\n  timeout?: string;\n  /** The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\". */\n  url?: string;\n}\n\n/** A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6. This data type is not supported in Vertex AI. */\nexport declare interface McpServer {\n  /** The name of the MCPServer. */\n  name?: string;\n  /** A transport that can stream HTTP requests and responses. */\n  streamableHttpTransport?: StreamableHttpTransport;\n}\n\n/** ExaAiSearch tool type. A tool that uses the Exa.ai search engine for grounding. This data type is not supported in Gemini API. */\nexport declare interface ToolExaAiSearch {\n  /** Required. The API key for ExaAiSearch. */\n  apiKey?: string;\n  /** Optional. This field can be used to pass any parameter from the Exa.ai Search API. */\n  customConfigs?: Record<string, unknown>;\n}\n\n/** Tool details of a tool that the model may use to generate a response. */\nexport declare interface Tool {\n  /** Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation. This field is not supported in Gemini API. */\n  retrieval?: Retrieval;\n  /** Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations. */\n  computerUse?: ComputerUse;\n  /** Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora. This field is not supported in Vertex AI. */\n  fileSearch?: FileSearch;\n  /** Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. */\n  googleSearch?: GoogleSearch;\n  /** Optional. Tool that allows grounding the model's response with\n      geospatial context related to the user's query. */\n  googleMaps?: GoogleMaps;\n  /** Optional. CodeExecution tool type. Enables the model to execute code as part of generation. */\n  codeExecution?: ToolCodeExecution;\n  /** Optional. Tool to support searching public web data, powered by Vertex AI Search and Sec4 compliance. This field is not supported in Gemini API. */\n  enterpriseWebSearch?: EnterpriseWebSearch;\n  /** Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 512 function declarations can be provided. */\n  functionDeclarations?: FunctionDeclaration[];\n  /** Optional. Specialized retrieval tool that is powered by Google Search. */\n  googleSearchRetrieval?: GoogleSearchRetrieval;\n  /** Optional. If specified, Vertex AI will use Parallel.ai to search for information to answer user queries. The search results will be grounded on Parallel.ai and presented to the model for response generation. This field is not supported in Gemini API. */\n  parallelAiSearch?: ToolParallelAiSearch;\n  /** Optional. Tool to support URL context retrieval. */\n  urlContext?: UrlContext;\n  /** Optional. MCP Servers to connect to. This field is not supported in Vertex AI. */\n  mcpServers?: McpServer[];\n  /** Optional. Uses Exa.ai to search for information to answer user queries. The search results will be grounded on Exa.ai and presented to the model for response generation. This field is not supported in Gemini API. */\n  exaAiSearch?: ToolExaAiSearch;\n}\n\n/** The signature of the voice consent check. */\nexport declare interface VoiceConsentSignature {\n  /** The signature string.\n   */\n  signature?: string;\n}\n\n/** The configuration for the replicated voice to use. */\nexport declare interface ReplicatedVoiceConfig {\n  /** The mimetype of the voice sample. The only currently supported\n      value is `audio/wav`. This represents 16-bit signed little-endian wav\n      data, with a 24kHz sampling rate.\n       */\n  mimeType?: string;\n  /** The sample of the custom voice.\n      \n  * @remarks Encoded as base64 string. */\n  voiceSampleAudio?: string;\n  /** Recorded consent verifying ownership of the voice. This\n      represents 16-bit signed little-endian wav data, with a 24kHz sampling\n      rate.\n  * @remarks Encoded as base64 string. */\n  consentAudio?: string;\n  /** Signature of a previously verified consent audio. This should be\n      populated with a signature generated by the server for a previous\n      request containing the consent_audio field. When provided, the\n      signature is verified instead of the consent_audio field to reduce\n      latency. Requests will fail if the signature is invalid or expired. */\n  voiceConsentSignature?: VoiceConsentSignature;\n}\n\n/** Configuration for a prebuilt voice. */\nexport declare interface PrebuiltVoiceConfig {\n  /** The name of the prebuilt voice to use. */\n  voiceName?: string;\n}\n\n/** The configuration for the voice to use. */\nexport declare interface VoiceConfig {\n  /** The configuration for a replicated voice, which is a clone of a\n      user's voice that can be used for speech synthesis. If this is unset, a\n      default voice is used. */\n  replicatedVoiceConfig?: ReplicatedVoiceConfig;\n  /** The configuration for a prebuilt voice. */\n  prebuiltVoiceConfig?: PrebuiltVoiceConfig;\n}\n\n/** Configuration for a single speaker in a multi-speaker setup. */\nexport declare interface SpeakerVoiceConfig {\n  /** Required. The name of the speaker. This should be the same as the speaker name used in the prompt. */\n  speaker?: string;\n  /** Required. The configuration for the voice of this speaker. */\n  voiceConfig?: VoiceConfig;\n}\n\n/** Configuration for a multi-speaker text-to-speech request. */\nexport declare interface MultiSpeakerVoiceConfig {\n  /** Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided. */\n  speakerVoiceConfigs?: SpeakerVoiceConfig[];\n}\n\n/** Config for speech generation and transcription. */\nexport declare interface SpeechConfig {\n  /** The configuration in case of single-voice output. */\n  voiceConfig?: VoiceConfig;\n  /** Optional. The language code (ISO 639-1) for the speech synthesis. */\n  languageCode?: string;\n  /** The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`. */\n  multiSpeakerVoiceConfig?: MultiSpeakerVoiceConfig;\n}\n\n/** The configuration for automatic function calling. */\nexport declare interface AutomaticFunctionCallingConfig {\n  /** Whether to disable automatic function calling.\n      If not set or set to False, will enable automatic function calling.\n      If set to True, will disable automatic function calling.\n       */\n  disable?: boolean;\n  /** If automatic function calling is enabled,\n      maximum number of remote calls for automatic function calling.\n      This number should be a positive integer.\n      If not set, SDK will set maximum number of remote calls to 10.\n       */\n  maximumRemoteCalls?: number;\n  /** If automatic function calling is enabled,\n      whether to ignore call history to the response.\n      If not set, SDK will set ignore_call_history to false,\n      and will append the call history to\n      GenerateContentResponse.automatic_function_calling_history.\n       */\n  ignoreCallHistory?: boolean;\n}\n\n/** The thinking features configuration. */\nexport declare interface ThinkingConfig {\n  /** Indicates whether to include thoughts in the response. If true, thoughts are returned only if the model supports thought and thoughts are available.\n   */\n  includeThoughts?: boolean;\n  /** Indicates the thinking budget in tokens. 0 is DISABLED. -1 is AUTOMATIC. The default values and allowed ranges are model dependent.\n   */\n  thinkingBudget?: number;\n  /** Optional. The number of thoughts tokens that the model should generate. */\n  thinkingLevel?: ThinkingLevel;\n}\n\n/** The image output format for generated images. This data type is not supported in Gemini API. */\nexport declare interface ImageConfigImageOutputOptions {\n  /** Optional. The compression quality of the output image. */\n  compressionQuality?: number;\n  /** Optional. The image format that the output should be saved as. */\n  mimeType?: string;\n}\n\n/** The image generation configuration to be used in GenerateContentConfig. */\nexport declare interface ImageConfig {\n  /** Aspect ratio of the generated images. Supported values are\n      \"1:1\", \"2:3\", \"3:2\", \"3:4\", \"4:3\", \"9:16\", \"16:9\", and \"21:9\". */\n  aspectRatio?: string;\n  /** Optional. Specifies the size of generated images. Supported\n      values are `1K`, `2K`, `4K`. If not specified, the model will use default\n      value `1K`. */\n  imageSize?: string;\n  /** Controls the generation of people. Supported values are:\n      ALLOW_ALL, ALLOW_ADULT, ALLOW_NONE. */\n  personGeneration?: string;\n  /** Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people. This field is not supported in Gemini API. */\n  prominentPeople?: ProminentPeople;\n  /** MIME type of the generated image. This field is not\n      supported in Gemini API. */\n  outputMimeType?: string;\n  /** Compression quality of the generated image (for\n      ``image/jpeg`` only). This field is not supported in Gemini API. */\n  outputCompressionQuality?: number;\n  /** Optional. The image output format for generated images. This field is not supported in Gemini API. */\n  imageOutputOptions?: ImageConfigImageOutputOptions;\n}\n\n/** The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. This data type is not supported in Gemini API. */\nexport declare interface GenerationConfigRoutingConfigAutoRoutingMode {\n  /** The model routing preference. */\n  modelRoutingPreference?:\n    | 'UNKNOWN'\n    | 'PRIORITIZE_QUALITY'\n    | 'BALANCED'\n    | 'PRIORITIZE_COST';\n}\n\n/** The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. This data type is not supported in Gemini API. */\nexport declare interface GenerationConfigRoutingConfigManualRoutingMode {\n  /** The name of the model to use. Only public LLM models are accepted. */\n  modelName?: string;\n}\n\n/** The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. This data type is not supported in Gemini API. */\nexport declare interface GenerationConfigRoutingConfig {\n  /** In this mode, the model is selected automatically based on the content of the request. */\n  autoMode?: GenerationConfigRoutingConfigAutoRoutingMode;\n  /** In this mode, the model is specified manually. */\n  manualMode?: GenerationConfigRoutingConfigManualRoutingMode;\n}\n\n/** A safety setting that affects the safety-blocking behavior. A SafetySetting consists of a harm category and a threshold for that category. */\nexport declare interface SafetySetting {\n  /** Required. The harm category to be blocked. */\n  category?: HarmCategory;\n  /** Optional. The method for blocking content. If not specified, the default behavior is to use the probability score. This field is not supported in Gemini API. */\n  method?: HarmBlockMethod;\n  /** Required. The threshold for blocking content. If the harm probability exceeds this threshold, the content will be blocked. */\n  threshold?: HarmBlockThreshold;\n}\n\n/** An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. */\nexport declare interface LatLng {\n  /** The latitude in degrees. It must be in the range [-90.0, +90.0]. */\n  latitude?: number;\n  /** The longitude in degrees. It must be in the range [-180.0, +180.0]. */\n  longitude?: number;\n}\n\n/** Retrieval config. */\nexport declare interface RetrievalConfig {\n  /** The location of the user. */\n  latLng?: LatLng;\n  /** The language code of the user. */\n  languageCode?: string;\n}\n\n/** Function calling config. */\nexport declare interface FunctionCallingConfig {\n  /** Optional. Function names to call. Only set when the Mode is ANY. Function names should match FunctionDeclaration.name. With mode set to ANY, model will predict a function call from the set of function names provided. */\n  allowedFunctionNames?: string[];\n  /** Optional. Function calling mode. */\n  mode?: FunctionCallingConfigMode;\n  /** Optional. When set to true, arguments of a single function call will be streamed out in multiple parts/contents/responses. Partial parameter results will be returned in the `FunctionCall.partial_args` field. This field is not supported in Gemini API. */\n  streamFunctionCallArguments?: boolean;\n}\n\n/** Tool config. This config is shared for all tools provided in the request. */\nexport declare interface ToolConfig {\n  /** Optional. Retrieval config. */\n  retrievalConfig?: RetrievalConfig;\n  /** Optional. Function calling config. */\n  functionCallingConfig?: FunctionCallingConfig;\n  /** Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. This field is not supported in Vertex AI. */\n  includeServerSideToolInvocations?: boolean;\n}\n\n/** Configuration for Model Armor. Model Armor is a Google Cloud service that provides safety and security filtering for prompts and responses. It helps protect your AI applications from risks such as harmful content, sensitive data leakage, and prompt injection attacks. This data type is not supported in Gemini API. */\nexport declare interface ModelArmorConfig {\n  /** Optional. The resource name of the Model Armor template to use for prompt screening. A Model Armor template is a set of customized filters and thresholds that define how Model Armor screens content. If specified, Model Armor will use this template to check the user's prompt for safety and security risks before it is sent to the model. The name must be in the format `projects/{project}/locations/{location}/templates/{template}`. */\n  promptTemplateName?: string;\n  /** Optional. The resource name of the Model Armor template to use for response screening. A Model Armor template is a set of customized filters and thresholds that define how Model Armor screens content. If specified, Model Armor will use this template to check the model's response for safety and security risks before it is returned to the user. The name must be in the format `projects/{project}/locations/{location}/templates/{template}`. */\n  responseTemplateName?: string;\n}\n\n/** Optional model configuration parameters.\n\nFor more information, see `Content generation parameters\n<https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/content-generation-parameters>`_. */\nexport declare interface GenerateContentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Instructions for the model to steer it toward better performance.\n      For example, \"Answer as concisely as possible\" or \"Don't use technical\n      terms in your response\".\n       */\n  systemInstruction?: ContentUnion;\n  /** Value that controls the degree of randomness in token selection.\n      Lower temperatures are good for prompts that require a less open-ended or\n      creative response, while higher temperatures can lead to more diverse or\n      creative results.\n       */\n  temperature?: number;\n  /** Tokens are selected from the most to least probable until the sum\n      of their probabilities equals this value. Use a lower value for less\n      random responses and a higher value for more random responses.\n       */\n  topP?: number;\n  /** For each token selection step, the ``top_k`` tokens with the\n      highest probabilities are sampled. Then tokens are further filtered based\n      on ``top_p`` with the final token selected using temperature sampling. Use\n      a lower number for less random responses and a higher number for more\n      random responses.\n       */\n  topK?: number;\n  /** Number of response variations to return.\n   */\n  candidateCount?: number;\n  /** Maximum number of tokens that can be generated in the response.\n   */\n  maxOutputTokens?: number;\n  /** List of strings that tells the model to stop generating text if one\n      of the strings is encountered in the response.\n       */\n  stopSequences?: string[];\n  /** Whether to return the log probabilities of the tokens that were\n      chosen by the model at each step.\n       */\n  responseLogprobs?: boolean;\n  /** Number of top candidate tokens to return the log probabilities for\n      at each generation step.\n       */\n  logprobs?: number;\n  /** Positive values penalize tokens that already appear in the\n      generated text, increasing the probability of generating more diverse\n      content.\n       */\n  presencePenalty?: number;\n  /** Positive values penalize tokens that repeatedly appear in the\n      generated text, increasing the probability of generating more diverse\n      content.\n       */\n  frequencyPenalty?: number;\n  /** When ``seed`` is fixed to a specific number, the model makes a best\n      effort to provide the same response for repeated requests. By default, a\n      random number is used.\n       */\n  seed?: number;\n  /** Output response mimetype of the generated candidate text.\n      Supported mimetype:\n        - `text/plain`: (default) Text output.\n        - `application/json`: JSON response in the candidates.\n      The model needs to be prompted to output the appropriate response type,\n      otherwise the behavior is undefined.\n       */\n  responseMimeType?: string;\n  /** The `Schema` object allows the definition of input and output data types.\n      These types can be objects, but also primitives and arrays.\n      Represents a select subset of an [OpenAPI 3.0 schema\n      object](https://spec.openapis.org/oas/v3.0.3#schema).\n      If set, a compatible response_mime_type must also be set.\n      Compatible mimetypes: `application/json`: Schema for JSON response.\n\n      If `response_schema` doesn't process your schema correctly, try using\n      `response_json_schema` instead.\n       */\n  responseSchema?: SchemaUnion;\n  /** Optional. Output schema of the generated response.\n      This is an alternative to `response_schema` that accepts [JSON\n      Schema](https://json-schema.org/). If set, `response_schema` must be\n      omitted, but `response_mime_type` is required. While the full JSON Schema\n      may be sent, not all features are supported. Specifically, only the\n      following properties are supported: - `$id` - `$defs` - `$ref` - `$anchor`\n      - `type` - `format` - `title` - `description` - `enum` (for strings and\n      numbers) - `items` - `prefixItems` - `minItems` - `maxItems` - `minimum` -\n      `maximum` - `anyOf` - `oneOf` (interpreted the same as `anyOf`) -\n      `properties` - `additionalProperties` - `required` The non-standard\n      `propertyOrdering` property may also be set. Cyclic references are\n      unrolled to a limited degree and, as such, may only be used within\n      non-required properties. (Nullable properties are not sufficient.) If\n      `$ref` is set on a sub-schema, no other properties, except for than those\n      starting as a `$`, may be set. */\n  responseJsonSchema?: unknown;\n  /** Configuration for model router requests.\n   */\n  routingConfig?: GenerationConfigRoutingConfig;\n  /** Configuration for model selection.\n   */\n  modelSelectionConfig?: ModelSelectionConfig;\n  /** Safety settings in the request to block unsafe content in the\n      response.\n       */\n  safetySettings?: SafetySetting[];\n  /** Code that enables the system to interact with external systems to\n      perform an action outside of the knowledge and scope of the model.\n       */\n  tools?: ToolListUnion;\n  /** Associates model output to a specific function call.\n   */\n  toolConfig?: ToolConfig;\n  /** Labels with user-defined metadata to break down billed charges. */\n  labels?: Record<string, string>;\n  /** Resource name of a context cache that can be used in subsequent\n      requests.\n       */\n  cachedContent?: string;\n  /** The requested modalities of the response. Represents the set of\n      modalities that the model can return.\n       */\n  responseModalities?: string[];\n  /** If specified, the media resolution specified will be used.\n   */\n  mediaResolution?: MediaResolution;\n  /** The speech generation configuration.\n   */\n  speechConfig?: SpeechConfigUnion;\n  /** If enabled, audio timestamp will be included in the request to the\n       model.\n       */\n  audioTimestamp?: boolean;\n  /** The configuration for automatic function calling.\n   */\n  automaticFunctionCalling?: AutomaticFunctionCallingConfig;\n  /** The thinking features configuration.\n   */\n  thinkingConfig?: ThinkingConfig;\n  /** The image generation configuration.\n   */\n  imageConfig?: ImageConfig;\n  /** Enables enhanced civic answers. It may not be available for all\n      models. This field is not supported in Gemini Enterprise Agent Platform.\n       */\n  enableEnhancedCivicAnswers?: boolean;\n  /** Settings for prompt and response sanitization using the Model Armor\n      service. If supplied, safety_settings must not be supplied.\n       */\n  modelArmorConfig?: ModelArmorConfig;\n  /** The service tier to use for the request. For example, ServiceTier.FLEX. */\n  serviceTier?: ServiceTier;\n}\n\n/** Config for models.generate_content parameters. */\nexport declare interface GenerateContentParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** Content of the request.\n   */\n  contents: ContentListUnion;\n  /** Configuration that contains optional model parameters.\n   */\n  config?: GenerateContentConfig;\n}\n\n/** A wrapper class for the http response. */\nexport class HttpResponse {\n  /** Used to retain the processed HTTP headers in the response. */\n  headers?: Record<string, string>;\n  /**\n   * The original http response.\n   */\n  responseInternal: Response;\n\n  constructor(response: Response) {\n    // Process the headers.\n    const headers: Record<string, string> = {};\n    for (const pair of response.headers.entries()) {\n      headers[pair[0]] = pair[1];\n    }\n    this.headers = headers;\n\n    // Keep the original response.\n    this.responseInternal = response;\n  }\n\n  json(): Promise<unknown> {\n    return this.responseInternal.json();\n  }\n}\n\n/** Callbacks for the live API. */\nexport interface LiveCallbacks {\n  /**\n   * Called when the websocket connection is established.\n   */\n  onopen?: (() => void) | null;\n  /**\n   * Called when a message is received from the server.\n   */\n  onmessage: (e: LiveServerMessage) => void;\n  /**\n   * Called when an error occurs.\n   */\n  onerror?: ((e: ErrorEvent) => void) | null;\n  /**\n   * Called when the websocket connection is closed.\n   */\n  onclose?: ((e: CloseEvent) => void) | null;\n}\n\n/** Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp. This data type is not supported in Gemini API. */\nexport declare interface GoogleTypeDate {\n  /** Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant. */\n  day?: number;\n  /** Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day. */\n  month?: number;\n  /** Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year. */\n  year?: number;\n}\n\n/** A citation for a piece of generatedcontent. This data type is not supported in Gemini API. */\nexport declare interface Citation {\n  /** Output only. The end index of the citation in the content. */\n  endIndex?: number;\n  /** Output only. The license of the source of the citation. */\n  license?: string;\n  /** Output only. The publication date of the source of the citation. */\n  publicationDate?: GoogleTypeDate;\n  /** Output only. The start index of the citation in the content. */\n  startIndex?: number;\n  /** Output only. The title of the source of the citation. */\n  title?: string;\n  /** Output only. The URI of the source of the citation. */\n  uri?: string;\n}\n\n/** Citation information when the model quotes another source. */\nexport declare interface CitationMetadata {\n  /** Contains citation information when the model directly quotes, at\n      length, from another source. Can include traditional websites and code\n      repositories.\n       */\n  citations?: Citation[];\n}\n\n/** Author attribution for a photo or review. */\nexport declare interface GroundingChunkMapsPlaceAnswerSourcesAuthorAttribution {\n  /** Name of the author of the Photo or Review. */\n  displayName?: string;\n  /** Profile photo URI of the author of the Photo or Review. */\n  photoUri?: string;\n  /** URI of the author of the Photo or Review. */\n  uri?: string;\n}\n\n/** Encapsulates a review snippet. */\nexport declare interface GroundingChunkMapsPlaceAnswerSourcesReviewSnippet {\n  /** This review's author. */\n  authorAttribution?: GroundingChunkMapsPlaceAnswerSourcesAuthorAttribution;\n  /** A link where users can flag a problem with the review. */\n  flagContentUri?: string;\n  /** A link to show the review on Google Maps. */\n  googleMapsUri?: string;\n  /** A string of formatted recent time, expressing the review time relative to the current time in a form appropriate for the language and country. */\n  relativePublishTimeDescription?: string;\n  /** A reference representing this place review which may be used to look up this place review again. */\n  review?: string;\n  /** Id of the review referencing the place. */\n  reviewId?: string;\n  /** Title of the review. */\n  title?: string;\n}\n\n/** The sources that were used to generate the place answer.\n\nThis includes review snippets and photos that were used to generate the\nanswer, as well as URIs to flag content. */\nexport declare interface GroundingChunkMapsPlaceAnswerSources {\n  /** Snippets of reviews that were used to generate the answer. */\n  reviewSnippet?: GroundingChunkMapsPlaceAnswerSourcesReviewSnippet[];\n  /** A link where users can flag a problem with the generated answer. */\n  flagContentUri?: string;\n  /** Snippets of reviews that were used to generate the answer. */\n  reviewSnippets?: GroundingChunkMapsPlaceAnswerSourcesReviewSnippet[];\n}\n\n/** Route information from Google Maps. This data type is not supported in Gemini API. */\nexport declare interface GroundingChunkMapsRoute {\n  /** The total distance of the route, in meters. */\n  distanceMeters?: number;\n  /** The total duration of the route. */\n  duration?: string;\n  /** An encoded polyline of the route. See https://developers.google.com/maps/documentation/utilities/polylinealgorithm */\n  encodedPolyline?: string;\n}\n\n/** A `Maps` chunk is a piece of evidence that comes from Google Maps.\n\nIt contains information about a place, such as its name, address, and reviews.\nThis is used to provide the user with rich, location-based information. */\nexport declare interface GroundingChunkMaps {\n  /** The sources that were used to generate the place answer.\n\n      This includes review snippets and photos that were used to generate the\n      answer, as well as URIs to flag content. */\n  placeAnswerSources?: GroundingChunkMapsPlaceAnswerSources;\n  /** This Place's resource name, in `places/{place_id}` format.\n\n      This can be used to look up the place in the Google Maps API. */\n  placeId?: string;\n  /** The text of the place answer. */\n  text?: string;\n  /** The title of the place. */\n  title?: string;\n  /** The URI of the place. */\n  uri?: string;\n  /** Output only. Route information. */\n  route?: GroundingChunkMapsRoute;\n}\n\n/** An `Image` chunk is a piece of evidence that comes from an image search result. It contains the URI of the image search result and the URI of the image. This is used to provide the user with a link to the source of the information. */\nexport declare interface GroundingChunkImage {\n  /** The URI of the image search result page. */\n  sourceUri?: string;\n  /** The URI of the image. */\n  imageUri?: string;\n  /** The title of the image search result page. */\n  title?: string;\n  /** The domain of the image search result page. */\n  domain?: string;\n}\n\n/** Represents where the chunk starts and ends in the document. This data type is not supported in Gemini API. */\nexport declare interface RagChunkPageSpan {\n  /** Page where chunk starts in the document. Inclusive. 1-indexed. */\n  firstPage?: number;\n  /** Page where chunk ends in the document. Inclusive. 1-indexed. */\n  lastPage?: number;\n}\n\n/** A RagChunk includes the content of a chunk of a RagFile, and associated metadata. This data type is not supported in Gemini API. */\nexport declare interface RagChunk {\n  /** If populated, represents where the chunk starts and ends in the document. */\n  pageSpan?: RagChunkPageSpan;\n  /** The content of the chunk. */\n  text?: string;\n  /** The ID of the chunk. */\n  chunkId?: string;\n  /** The ID of the file that the chunk belongs to. */\n  fileId?: string;\n}\n\n/** A list of string values. This data type is not supported in Vertex AI. */\nexport declare interface GroundingChunkStringList {\n  /** The string values of the list. */\n  values?: string[];\n}\n\n/** User provided metadata about the GroundingFact. This data type is not supported in Vertex AI. */\nexport declare interface GroundingChunkCustomMetadata {\n  /** The key of the metadata. */\n  key?: string;\n  /** Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. */\n  numericValue?: number;\n  /** Optional. A list of string values for the metadata. */\n  stringListValue?: GroundingChunkStringList;\n  /** Optional. The string value of the metadata. */\n  stringValue?: string;\n}\n\n/** Context retrieved from a data source to ground the model's response. This is used when a retrieval tool fetches information from a user-provided corpus or a public dataset. */\nexport declare interface GroundingChunkRetrievedContext {\n  /** Output only. The full resource name of the referenced Vertex AI Search document. This is used to identify the specific document that was retrieved. The format is `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. This field is not supported in Gemini API. */\n  documentName?: string;\n  /** Additional context for a Retrieval-Augmented Generation (RAG) retrieval result. This is populated only when the RAG retrieval tool is used. This field is not supported in Gemini API. */\n  ragChunk?: RagChunk;\n  /** The content of the retrieved data source. */\n  text?: string;\n  /** The title of the retrieved data source. */\n  title?: string;\n  /** The URI of the retrieved data source. */\n  uri?: string;\n  /** Optional. User-provided metadata about the retrieved context. This field is not supported in Vertex AI. */\n  customMetadata?: GroundingChunkCustomMetadata[];\n  /** Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`. This field is not supported in Vertex AI. */\n  fileSearchStore?: string;\n  /** Optional. Page number of the retrieved context, if applicable. This field is not supported in Vertex AI. */\n  pageNumber?: number;\n  /** Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}. This field is not supported in Vertex AI. */\n  mediaId?: string;\n}\n\n/** A `Web` chunk is a piece of evidence that comes from a web page. It contains the URI of the web page, the title of the page, and the domain of the page. This is used to provide the user with a link to the source of the information. */\nexport declare interface GroundingChunkWeb {\n  /** The domain of the web page that contains the evidence. This can be used to filter out low-quality sources. This field is not supported in Gemini API. */\n  domain?: string;\n  /** The title of the web page that contains the evidence. */\n  title?: string;\n  /** The URI of the web page that contains the evidence. */\n  uri?: string;\n}\n\n/** A piece of evidence that supports a claim made by the model.\n\nThis is used to show a citation for a claim made by the model. When grounding\nis enabled, the model returns a `GroundingChunk` that contains a reference to\nthe source of the information. */\nexport declare interface GroundingChunk {\n  /** A grounding chunk from an image search result. See the `Image` message for details. */\n  image?: GroundingChunkImage;\n  /** A `Maps` chunk is a piece of evidence that comes from Google Maps.\n\n      It contains information about a place, such as its name, address, and\n      reviews. This is used to provide the user with rich, location-based\n      information. */\n  maps?: GroundingChunkMaps;\n  /** A grounding chunk from a data source retrieved by a retrieval tool, such as Vertex AI Search. See the `RetrievedContext` message for details */\n  retrievedContext?: GroundingChunkRetrievedContext;\n  /** A grounding chunk from a web page, typically from Google Search. See the `Web` message for details. */\n  web?: GroundingChunkWeb;\n}\n\n/** Segment of the content this support belongs to. */\nexport declare interface Segment {\n  /** Output only. Start index in the given Part, measured in bytes.\n\n      Offset from the start of the Part, inclusive, starting at zero. */\n  startIndex?: number;\n  /** Output only. End index in the given Part, measured in bytes.\n\n      Offset from the start of the Part, exclusive, starting at zero. */\n  endIndex?: number;\n  /** Output only. The index of a Part object within its parent\n      Content object. */\n  partIndex?: number;\n  /** Output only. The text corresponding to the segment from the\n      response. */\n  text?: string;\n}\n\n/** Grounding support. */\nexport declare interface GroundingSupport {\n  /** Confidence score of the support references.\n\n      Ranges from 0 to 1. 1 is the most confident. This list must have the\n      same size as the grounding_chunk_indices. */\n  confidenceScores?: number[];\n  /** A list of indices (into 'grounding_chunk') specifying the\n      citations associated with the claim. For instance [1,3,4] means that\n      grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the\n      retrieved content attributed to the claim. */\n  groundingChunkIndices?: number[];\n  /** Segment of the content this support belongs to. */\n  segment?: Segment;\n  /** Indices into the `rendered_parts` field of the `GroundingMetadata` message. These indices specify which rendered parts are associated with this support message. */\n  renderedParts?: number[];\n}\n\n/** Metadata returned to client when grounding is enabled. */\nexport declare interface RetrievalMetadata {\n  /** Optional. Score indicating how likely information from google\n      search could help answer the prompt. The score is in the range [0, 1],\n      where 0 is the least likely and 1 is the most likely. This score is only\n      populated when google search grounding and dynamic retrieval is enabled.\n      It will be compared to the threshold to determine whether to trigger\n      Google search. */\n  googleSearchDynamicRetrievalScore?: number;\n}\n\n/** The entry point used to search for grounding sources. */\nexport declare interface SearchEntryPoint {\n  /** Optional. Web content snippet that can be embedded in a web page\n      or an app webview. */\n  renderedContent?: string;\n  /** Optional. JSON representing array of tuples.\n   * @remarks Encoded as base64 string. */\n  sdkBlob?: string;\n}\n\n/** A URI that can be used to flag a place or review for inappropriate content. This is populated only when the grounding source is Google Maps. This data type is not supported in Gemini API. */\nexport declare interface GroundingMetadataSourceFlaggingUri {\n  /** The URI that can be used to flag the content. */\n  flagContentUri?: string;\n  /** The ID of the place or review. */\n  sourceId?: string;\n}\n\n/** Information for various kinds of grounding. */\nexport declare interface GroundingMetadata {\n  /** Optional. The image search queries that were used to generate the content. This field is populated only when the grounding source is Google Search with the Image Search search_type enabled. */\n  imageSearchQueries?: string[];\n  /** A list of supporting references retrieved from the grounding\n      source. This field is populated when the grounding source is Google\n      Search, Vertex AI Search, or Google Maps.\n       */\n  groundingChunks?: GroundingChunk[];\n  /** List of grounding support. */\n  groundingSupports?: GroundingSupport[];\n  /** Metadata related to retrieval in the grounding flow. */\n  retrievalMetadata?: RetrievalMetadata;\n  /** Optional. Google search entry for the following-up web\n      searches. */\n  searchEntryPoint?: SearchEntryPoint;\n  /** Web search queries for the following-up web search. */\n  webSearchQueries?: string[];\n  /** Optional. Output only. Deprecated: The Google Maps contextual widget behavior in Grounding with Google Maps is being deprecated; this field is planned for removal and will no longer be populated once removed. A token that can be used to render a Google Maps widget with the contextual data. This field is populated only when the grounding source is Google Maps. */\n  googleMapsWidgetContextToken?: string;\n  /** Optional. The queries that were executed by the retrieval tools. This field is populated only when the grounding source is a retrieval tool, such as Vertex AI Search. This field is not supported in Gemini API. */\n  retrievalQueries?: string[];\n  /** Optional. Output only. A list of URIs that can be used to flag a place or review for inappropriate content. This field is populated only when the grounding source is Google Maps. This field is not supported in Gemini API. */\n  sourceFlaggingUris?: GroundingMetadataSourceFlaggingUri[];\n}\n\n/** A single token and its associated log probability. */\nexport declare interface LogprobsResultCandidate {\n  /** The log probability of this token. A higher value indicates that the model was more confident in this token. The log probability can be used to assess the relative likelihood of different tokens and to identify when the model is uncertain. */\n  logProbability?: number;\n  /** The token's string representation. */\n  token?: string;\n  /** The token's numerical ID. While the `token` field provides the string representation of the token, the `token_id` is the numerical representation that the model uses internally. This can be useful for developers who want to build custom logic based on the model's vocabulary. */\n  tokenId?: number;\n}\n\n/** A list of the top candidate tokens and their log probabilities at each decoding step. This can be used to see what other tokens the model considered. */\nexport declare interface LogprobsResultTopCandidates {\n  /** The list of candidate tokens, sorted by log probability in descending order. */\n  candidates?: LogprobsResultCandidate[];\n}\n\n/** The log probabilities of the tokens generated by the model. This is useful for understanding the model's confidence in its predictions and for debugging. For example, you can use log probabilities to identify when the model is making a less confident prediction or to explore alternative responses that the model considered. A low log probability can also indicate that the model is \"hallucinating\" or generating factually incorrect information. */\nexport declare interface LogprobsResult {\n  /** A list of the chosen candidate tokens at each decoding step. The length of this list is equal to the total number of decoding steps. Note that the chosen candidate might not be in `top_candidates`. */\n  chosenCandidates?: LogprobsResultCandidate[];\n  /** A list of the top candidate tokens at each decoding step. The length of this list is equal to the total number of decoding steps. */\n  topCandidates?: LogprobsResultTopCandidates[];\n  /** Sum of log probabilities for all tokens. This field is not supported in Vertex AI. */\n  logProbabilitySum?: number;\n}\n\n/** A safety rating for a piece of content. The safety rating contains the harm category and the harm probability level. */\nexport declare interface SafetyRating {\n  /** Output only. Indicates whether the content was blocked because of this rating. */\n  blocked?: boolean;\n  /** Output only. The harm category of this rating. */\n  category?: HarmCategory;\n  /** Output only. The overwritten threshold for the safety category of Gemini 2.0 image out. If minors are detected in the output image, the threshold of each safety category will be overwritten if user sets a lower threshold. This field is not supported in Gemini API. */\n  overwrittenThreshold?: HarmBlockThreshold;\n  /** Output only. The probability of harm for this category. */\n  probability?: HarmProbability;\n  /** Output only. The probability score of harm for this category. This field is not supported in Gemini API. */\n  probabilityScore?: number;\n  /** Output only. The severity of harm for this category. This field is not supported in Gemini API. */\n  severity?: HarmSeverity;\n  /** Output only. The severity score of harm for this category. This field is not supported in Gemini API. */\n  severityScore?: number;\n}\n\n/** The metadata for a single URL retrieval. */\nexport declare interface UrlMetadata {\n  /** The URL retrieved by the tool. */\n  retrievedUrl?: string;\n  /** The status of the URL retrieval. */\n  urlRetrievalStatus?: UrlRetrievalStatus;\n}\n\n/** Metadata returned when the model uses the `url_context` tool to get information from a user-provided URL. */\nexport declare interface UrlContextMetadata {\n  /** Output only. A list of URL metadata, with one entry for each URL retrieved by the tool. */\n  urlMetadata?: UrlMetadata[];\n}\n\n/** A response candidate generated from the model. */\nexport declare interface Candidate {\n  /** Contains the multi-part content of the response.\n   */\n  content?: Content;\n  /** Source attribution of the generated content.\n   */\n  citationMetadata?: CitationMetadata;\n  /** Describes the reason the model stopped generating tokens.\n   */\n  finishMessage?: string;\n  /** Number of tokens for this candidate.\n   */\n  tokenCount?: number;\n  /** The reason why the model stopped generating tokens.\n      If empty, the model has not stopped generating the tokens.\n       */\n  finishReason?: FinishReason;\n  /** Output only. Metadata returned when grounding is enabled. It\n      contains the sources used to ground the generated content.\n       */\n  groundingMetadata?: GroundingMetadata;\n  /** Output only. The average log probability of the tokens in this candidate. This is a length-normalized score that can be used to compare the quality of candidates of different lengths. A higher average log probability suggests a more confident and coherent response. */\n  avgLogprobs?: number;\n  /** Output only. The 0-based index of this candidate in the list of generated responses. This is useful for distinguishing between multiple candidates when `candidate_count` > 1. */\n  index?: number;\n  /** Output only. The detailed log probability information for the tokens in this candidate. This is useful for debugging, understanding model uncertainty, and identifying potential \"hallucinations\". */\n  logprobsResult?: LogprobsResult;\n  /** Output only. A list of ratings for the safety of a response candidate. There is at most one rating per category. */\n  safetyRatings?: SafetyRating[];\n  /** Output only. Metadata returned when the model uses the `url_context` tool to get information from a user-provided URL. */\n  urlContextMetadata?: UrlContextMetadata;\n}\n\n/** Content filter results for a prompt sent in the request. Note: This is sent only in the first stream chunk and only if no candidates were generated due to content violations. */\nexport class GenerateContentResponsePromptFeedback {\n  /** Output only. The reason why the prompt was blocked. */\n  blockReason?: BlockedReason;\n  /** Output only. A readable message that explains the reason why the prompt was blocked. This field is not supported in Gemini API. */\n  blockReasonMessage?: string;\n  /** Output only. A list of safety ratings for the prompt. There is one rating per category. */\n  safetyRatings?: SafetyRating[];\n}\n\n/** Represents a breakdown of token usage by modality. This message is used in CountTokensResponse and GenerateContentResponse.UsageMetadata to provide a detailed view of how many tokens are used by each modality (e.g., text, image, video) in a request. This is particularly useful for multimodal models, allowing you to track and manage token consumption for billing and quota purposes. */\nexport declare interface ModalityTokenCount {\n  /** The modality that this token count applies to. */\n  modality?: MediaModality;\n  /** The number of tokens counted for this modality. */\n  tokenCount?: number;\n}\n\n/** Usage metadata about the content generation request and response. This message provides a detailed breakdown of token usage and other relevant metrics. This data type is not supported in Gemini API. */\nexport class GenerateContentResponseUsageMetadata {\n  /** Output only. A detailed breakdown of the token count for each modality in the cached content. */\n  cacheTokensDetails?: ModalityTokenCount[];\n  /** Output only. The number of tokens in the cached content that was used for this request. */\n  cachedContentTokenCount?: number;\n  /** The total number of tokens in the generated candidates. */\n  candidatesTokenCount?: number;\n  /** Output only. A detailed breakdown of the token count for each modality in the generated candidates. */\n  candidatesTokensDetails?: ModalityTokenCount[];\n  /** The total number of tokens in the prompt. This includes any text, images, or other media provided in the request. When `cached_content` is set, this also includes the number of tokens in the cached content. */\n  promptTokenCount?: number;\n  /** Output only. A detailed breakdown of the token count for each modality in the prompt. */\n  promptTokensDetails?: ModalityTokenCount[];\n  /** Output only. The number of tokens that were part of the model's generated \"thoughts\" output, if applicable. */\n  thoughtsTokenCount?: number;\n  /** Output only. The number of tokens in the results from tool executions, which are provided back to the model as input, if applicable. */\n  toolUsePromptTokenCount?: number;\n  /** Output only. A detailed breakdown by modality of the token counts from the results of tool executions, which are provided back to the model as input. */\n  toolUsePromptTokensDetails?: ModalityTokenCount[];\n  /** The total number of tokens for the entire request. This is the sum of `prompt_token_count`, `candidates_token_count`, `tool_use_prompt_token_count`, and `thoughts_token_count`. */\n  totalTokenCount?: number;\n  /** Output only. The traffic type for this request. */\n  trafficType?: TrafficType;\n}\n\n/** The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. This data type is not supported in Vertex AI. */\nexport declare interface ModelStatus {\n  /** A message explaining the model status. */\n  message?: string;\n  /** The stage of the underlying model. */\n  modelStage?: ModelStage;\n  /** The time at which the model will be retired. */\n  retirementTime?: string;\n}\n\n/** Response message for PredictionService.GenerateContent. */\nexport class GenerateContentResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Response variations returned by the model.\n   */\n  candidates?: Candidate[];\n  /** Timestamp when the request is made to the server.\n   */\n  createTime?: string;\n  /** The history of automatic function calling.\n   */\n  automaticFunctionCallingHistory?: Content[];\n  /** Output only. The model version used to generate the response. */\n  modelVersion?: string;\n  /** Output only. Content filter results for a prompt sent in the request. Note: Sent only in the first stream chunk. Only happens when no candidates were generated due to content violations. */\n  promptFeedback?: GenerateContentResponsePromptFeedback;\n  /** Output only. response_id is used to identify each response. It is the encoding of the event_id. */\n  responseId?: string;\n  /** Usage metadata about the response(s). */\n  usageMetadata?: GenerateContentResponseUsageMetadata;\n  /** Output only. The current model status of this model. This field is not supported in Vertex AI. */\n  modelStatus?: ModelStatus;\n  /**\n   * Returns the concatenation of all text parts from the first candidate in the response.\n   *\n   * @remarks\n   * If there are multiple candidates in the response, the text from the first\n   * one will be returned.\n   * If there are non-text parts in the response, the concatenation of all text\n   * parts will be returned, and a warning will be logged.\n   * If there are thought parts in the response, the concatenation of all text\n   * parts excluding the thought parts will be returned.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.generateContent({\n   *   model: 'gemini-2.0-flash',\n   *   contents:\n   *     'Why is the sky blue?',\n   * });\n   *\n   * console.debug(response.text);\n   * ```\n   */\n  get text(): string | undefined {\n    if (this.candidates?.[0]?.content?.parts?.length === 0) {\n      return undefined;\n    }\n    if (this.candidates && this.candidates.length > 1) {\n      console.warn(\n        'there are multiple candidates in the response, returning text from the first one.',\n      );\n    }\n    let text = '';\n    let anyTextPartText = false;\n    const nonTextParts = [];\n    for (const part of this.candidates?.[0]?.content?.parts ?? []) {\n      for (const [fieldName, fieldValue] of Object.entries(part)) {\n        if (\n          fieldName !== 'text' &&\n          fieldName !== 'thought' &&\n          fieldName !== 'thoughtSignature' &&\n          (fieldValue !== null || fieldValue !== undefined)\n        ) {\n          nonTextParts.push(fieldName);\n        }\n      }\n      if (typeof part.text === 'string') {\n        if (typeof part.thought === 'boolean' && part.thought) {\n          continue;\n        }\n        anyTextPartText = true;\n        text += part.text;\n      }\n    }\n    if (nonTextParts.length > 0) {\n      console.warn(\n        `there are non-text parts ${nonTextParts} in the response, returning concatenation of all text parts. Please refer to the non text parts for a full response from model.`,\n      );\n    }\n    // part.text === '' is different from part.text is null\n    return anyTextPartText ? text : undefined;\n  }\n\n  /**\n   * Returns the concatenation of all inline data parts from the first candidate\n   * in the response.\n   *\n   * @remarks\n   * If there are multiple candidates in the response, the inline data from the\n   * first one will be returned. If there are non-inline data parts in the\n   * response, the concatenation of all inline data parts will be returned, and\n   * a warning will be logged.\n   */\n  get data(): string | undefined {\n    if (this.candidates?.[0]?.content?.parts?.length === 0) {\n      return undefined;\n    }\n    if (this.candidates && this.candidates.length > 1) {\n      console.warn(\n        'there are multiple candidates in the response, returning data from the first one.',\n      );\n    }\n    let data = '';\n    const nonDataParts = [];\n    for (const part of this.candidates?.[0]?.content?.parts ?? []) {\n      for (const [fieldName, fieldValue] of Object.entries(part)) {\n        if (\n          fieldName !== 'inlineData' &&\n          (fieldValue !== null || fieldValue !== undefined)\n        ) {\n          nonDataParts.push(fieldName);\n        }\n      }\n      if (part.inlineData && typeof part.inlineData.data === 'string') {\n        data += atob(part.inlineData.data);\n      }\n    }\n    if (nonDataParts.length > 0) {\n      console.warn(\n        `there are non-data parts ${nonDataParts} in the response, returning concatenation of all data parts. Please refer to the non data parts for a full response from model.`,\n      );\n    }\n    return data.length > 0 ? btoa(data) : undefined;\n  }\n\n  /**\n   * Returns the function calls from the first candidate in the response.\n   *\n   * @remarks\n   * If there are multiple candidates in the response, the function calls from\n   * the first one will be returned.\n   * If there are no function calls in the response, undefined will be returned.\n   *\n   * @example\n   * ```ts\n   * const controlLightFunctionDeclaration: FunctionDeclaration = {\n   *   name: 'controlLight',\n   *   parameters: {\n   *   type: Type.OBJECT,\n   *   description: 'Set the brightness and color temperature of a room light.',\n   *   properties: {\n   *     brightness: {\n   *       type: Type.NUMBER,\n   *       description:\n   *         'Light level from 0 to 100. Zero is off and 100 is full brightness.',\n   *     },\n   *     colorTemperature: {\n   *       type: Type.STRING,\n   *       description:\n   *         'Color temperature of the light fixture which can be `daylight`, `cool` or `warm`.',\n   *     },\n   *   },\n   *   required: ['brightness', 'colorTemperature'],\n   *  };\n   *  const response = await ai.models.generateContent({\n   *     model: 'gemini-2.0-flash',\n   *     contents: 'Dim the lights so the room feels cozy and warm.',\n   *     config: {\n   *       tools: [{functionDeclarations: [controlLightFunctionDeclaration]}],\n   *       toolConfig: {\n   *         functionCallingConfig: {\n   *           mode: FunctionCallingConfigMode.ANY,\n   *           allowedFunctionNames: ['controlLight'],\n   *         },\n   *       },\n   *     },\n   *   });\n   *  console.debug(JSON.stringify(response.functionCalls));\n   * ```\n   */\n  get functionCalls(): FunctionCall[] | undefined {\n    if (this.candidates?.[0]?.content?.parts?.length === 0) {\n      return undefined;\n    }\n    if (this.candidates && this.candidates.length > 1) {\n      console.warn(\n        'there are multiple candidates in the response, returning function calls from the first one.',\n      );\n    }\n    const functionCalls = this.candidates?.[0]?.content?.parts\n      ?.filter((part) => part.functionCall)\n      .map((part) => part.functionCall)\n      .filter(\n        (functionCall): functionCall is FunctionCall =>\n          functionCall !== undefined,\n      );\n    if (functionCalls?.length === 0) {\n      return undefined;\n    }\n    return functionCalls;\n  }\n  /**\n   * Returns the first executable code from the first candidate in the response.\n   *\n   * @remarks\n   * If there are multiple candidates in the response, the executable code from\n   * the first one will be returned.\n   * If there are no executable code in the response, undefined will be\n   * returned.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.generateContent({\n   *   model: 'gemini-2.0-flash',\n   *   contents:\n   *     'What is the sum of the first 50 prime numbers? Generate and run code for the calculation, and make sure you get all 50.'\n   *   config: {\n   *     tools: [{codeExecution: {}}],\n   *   },\n   * });\n   *\n   * console.debug(response.executableCode);\n   * ```\n   */\n  get executableCode(): string | undefined {\n    if (this.candidates?.[0]?.content?.parts?.length === 0) {\n      return undefined;\n    }\n    if (this.candidates && this.candidates.length > 1) {\n      console.warn(\n        'there are multiple candidates in the response, returning executable code from the first one.',\n      );\n    }\n    const executableCode = this.candidates?.[0]?.content?.parts\n      ?.filter((part) => part.executableCode)\n      .map((part) => part.executableCode)\n      .filter(\n        (executableCode): executableCode is ExecutableCode =>\n          executableCode !== undefined,\n      );\n    if (executableCode?.length === 0) {\n      return undefined;\n    }\n\n    return executableCode?.[0]?.code;\n  }\n  /**\n   * Returns the first code execution result from the first candidate in the response.\n   *\n   * @remarks\n   * If there are multiple candidates in the response, the code execution result from\n   * the first one will be returned.\n   * If there are no code execution result in the response, undefined will be returned.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.generateContent({\n   *   model: 'gemini-2.0-flash',\n   *   contents:\n   *     'What is the sum of the first 50 prime numbers? Generate and run code for the calculation, and make sure you get all 50.'\n   *   config: {\n   *     tools: [{codeExecution: {}}],\n   *   },\n   * });\n   *\n   * console.debug(response.codeExecutionResult);\n   * ```\n   */\n  get codeExecutionResult(): string | undefined {\n    if (this.candidates?.[0]?.content?.parts?.length === 0) {\n      return undefined;\n    }\n    if (this.candidates && this.candidates.length > 1) {\n      console.warn(\n        'there are multiple candidates in the response, returning code execution result from the first one.',\n      );\n    }\n    const codeExecutionResult = this.candidates?.[0]?.content?.parts\n      ?.filter((part) => part.codeExecutionResult)\n      .map((part) => part.codeExecutionResult)\n      .filter(\n        (codeExecutionResult): codeExecutionResult is CodeExecutionResult =>\n          codeExecutionResult !== undefined,\n      );\n    if (codeExecutionResult?.length === 0) {\n      return undefined;\n    }\n    return codeExecutionResult?.[0]?.output;\n  }\n}\n\nexport type ReferenceImage =\n  | RawReferenceImage\n  | MaskReferenceImage\n  | ControlReferenceImage\n  | StyleReferenceImage\n  | SubjectReferenceImage\n  | ContentReferenceImage;\n\n/** Parameters for the request to edit an image. */\nexport declare interface EditImageParameters {\n  /** The model to use. */\n  model: string;\n  /** A text description of the edit to apply to the image. */\n  prompt: string;\n  /** The reference images for Imagen 3 editing. */\n  referenceImages: ReferenceImage[];\n  /** Configuration for editing. */\n  config?: EditImageConfig;\n}\n\n/** Optional parameters for the embed_content method. */\nexport declare interface EmbedContentConfig {\n  /** Type of task for which the embedding will be used.\n   */\n  taskType?: string;\n  /** Title for the text. Only applicable when TaskType is\n      `RETRIEVAL_DOCUMENT`.\n       */\n  title?: string;\n  /** Reduced dimension for the output embedding. If set,\n      excessive values in the output embedding are truncated from the end.\n      Supported by newer models since 2024 only. You cannot set this value if\n      using the earlier model (`models/embedding-001`).\n       */\n  outputDimensionality?: number;\n  /** Gemini Enterprise Agent Platform only. The MIME type of the input.\n   */\n  mimeType?: string;\n  /** Gemini Enterprise Agent Platform only. Whether to silently truncate inputs longer than\n      the max sequence length. If this option is set to false, oversized inputs\n      will lead to an INVALID_ARGUMENT error, similar to other text APIs.\n       */\n  autoTruncate?: boolean;\n  /** Gemini Enterprise Agent Platform only. Whether to enable OCR for document content.\n      Only applicable to Gemini Embedding 2 models.\n       */\n  documentOcr?: boolean;\n  /** Gemini Enterprise Agent Platform only. Whether to extract audio from video content.\n      Only applicable to Gemini Embedding 2 models.\n       */\n  audioTrackExtraction?: boolean;\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the _embed_content method. */\nexport declare interface EmbedContentParametersPrivate {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** The content to embed. Only the `parts.text` fields will be counted.\n   */\n  contents?: ContentListUnion;\n  /** The single content to embed. Only the `parts.text` fields will be counted.\n   */\n  content?: ContentUnion;\n  /** The Gemini Enterprise Agent Platform embedding API to use.\n   */\n  embeddingApiType?: EmbeddingApiType;\n  /** Configuration that contains optional parameters.\n   */\n  config?: EmbedContentConfig;\n}\n\n/** Statistics of the input text associated with the result of content embedding. */\nexport declare interface ContentEmbeddingStatistics {\n  /** Gemini Enterprise Agent Platform only. If the input text was truncated due to having\n      a length longer than the allowed maximum input.\n       */\n  truncated?: boolean;\n  /** Gemini Enterprise Agent Platform only. Number of tokens of the input text.\n   */\n  tokenCount?: number;\n}\n\n/** The embedding generated from an input content. */\nexport declare interface ContentEmbedding {\n  /** A list of floats representing an embedding.\n   */\n  values?: number[];\n  /** Gemini Enterprise Agent Platform only. Statistics of the input text associated with this\n      embedding.\n       */\n  statistics?: ContentEmbeddingStatistics;\n}\n\n/** Request-level metadata for the Gemini Enterprise Agent Platform Embed Content API. */\nexport declare interface EmbedContentMetadata {\n  /** Gemini Enterprise Agent Platform only. The total number of billable characters included\n      in the request.\n       */\n  billableCharacterCount?: number;\n}\n\n/** Response for the embed_content method. */\nexport class EmbedContentResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** The embeddings for each request, in the same order as provided in\n      the batch request.\n       */\n  embeddings?: ContentEmbedding[];\n  /** Gemini Enterprise Agent Platform only. Metadata about the request.\n   */\n  metadata?: EmbedContentMetadata;\n}\n\n/** The config for generating an images. */\nexport declare interface GenerateImagesConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Cloud Storage URI used to store the generated images. */\n  outputGcsUri?: string;\n  /** Description of what to discourage in the generated images. */\n  negativePrompt?: string;\n  /** Number of images to generate. */\n  numberOfImages?: number;\n  /** Aspect ratio of the generated images. Supported values are\n      \"1:1\", \"3:4\", \"4:3\", \"9:16\", and \"16:9\". */\n  aspectRatio?: string;\n  /** Controls how much the model adheres to the text prompt. Large\n      values increase output and prompt alignment, but may compromise image\n      quality. */\n  guidanceScale?: number;\n  /** Random seed for image generation. This is not available when\n      ``add_watermark`` is set to true. */\n  seed?: number;\n  /** Filter level for safety filtering. */\n  safetyFilterLevel?: SafetyFilterLevel;\n  /** Allows generation of people by the model. */\n  personGeneration?: PersonGeneration;\n  /** Whether to report the safety scores of each generated image and\n      the positive prompt in the response. */\n  includeSafetyAttributes?: boolean;\n  /** Whether to include the Responsible AI filter reason if the image\n      is filtered out of the response. */\n  includeRaiReason?: boolean;\n  /** Language of the text in the prompt. */\n  language?: ImagePromptLanguage;\n  /** MIME type of the generated image. */\n  outputMimeType?: string;\n  /** Compression quality of the generated image (for ``image/jpeg``\n      only). */\n  outputCompressionQuality?: number;\n  /** Whether to add a watermark to the generated images. */\n  addWatermark?: boolean;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n  /** The size of the largest dimension of the generated image.\n      Supported sizes are 1K and 2K (not supported for Imagen 3 models). */\n  imageSize?: string;\n  /** Whether to use the prompt rewriting logic. */\n  enhancePrompt?: boolean;\n}\n\n/** The parameters for generating images. */\nexport declare interface GenerateImagesParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** Text prompt that typically describes the images to output.\n   */\n  prompt: string;\n  /** Configuration for generating images.\n   */\n  config?: GenerateImagesConfig;\n}\n\n/** An image. */\nexport declare interface Image {\n  /** The Cloud Storage URI of the image. ``Image`` can contain a value\n      for this field or the ``image_bytes`` field but not both. */\n  gcsUri?: string;\n  /** The image bytes data. ``Image`` can contain a value for this field\n      or the ``gcs_uri`` field but not both.\n  * @remarks Encoded as base64 string. */\n  imageBytes?: string;\n  /** The MIME type of the image. */\n  mimeType?: string;\n}\n\n/** Safety attributes of a GeneratedImage or the user-provided prompt. */\nexport declare interface SafetyAttributes {\n  /** List of RAI categories. */\n  categories?: string[];\n  /** List of scores of each categories. */\n  scores?: number[];\n  /** Internal use only. */\n  contentType?: string;\n}\n\n/** An output image. */\nexport declare interface GeneratedImage {\n  /** The output image data. */\n  image?: Image;\n  /** Responsible AI filter reason if the image is filtered out of the\n      response. */\n  raiFilteredReason?: string;\n  /** Safety attributes of the image. Lists of RAI categories and their\n      scores of each content. */\n  safetyAttributes?: SafetyAttributes;\n  /** The rewritten prompt used for the image generation if the prompt\n      enhancer is enabled. */\n  enhancedPrompt?: string;\n}\n\n/** The output images response. */\nexport class GenerateImagesResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** List of generated images. */\n  generatedImages?: GeneratedImage[];\n  /** Safety attributes of the positive prompt. Only populated if\n      ``include_safety_attributes`` is set to True. */\n  positivePromptSafetyAttributes?: SafetyAttributes;\n}\n\n/** Configuration for a Mask reference image. */\nexport declare interface MaskReferenceConfig {\n  /** Prompts the model to generate a mask instead of you needing to\n      provide one (unless MASK_MODE_USER_PROVIDED is used). */\n  maskMode?: MaskReferenceMode;\n  /** A list of up to 5 class ids to use for semantic segmentation.\n      Automatically creates an image mask based on specific objects. */\n  segmentationClasses?: number[];\n  /** Dilation percentage of the mask provided.\n      Float between 0 and 1. */\n  maskDilation?: number;\n}\n\n/** Configuration for a Control reference image. */\nexport declare interface ControlReferenceConfig {\n  /** The type of control reference image to use. */\n  controlType?: ControlReferenceType;\n  /** Defaults to False. When set to True, the control image will be\n      computed by the model based on the control type. When set to False,\n      the control image must be provided by the user. */\n  enableControlImageComputation?: boolean;\n}\n\n/** Configuration for a Style reference image. */\nexport declare interface StyleReferenceConfig {\n  /** A text description of the style to use for the generated image. */\n  styleDescription?: string;\n}\n\n/** Configuration for a Subject reference image. */\nexport declare interface SubjectReferenceConfig {\n  /** The subject type of a subject reference image. */\n  subjectType?: SubjectReferenceType;\n  /** Subject description for the image. */\n  subjectDescription?: string;\n}\n\n/** Configuration for editing an image. */\nexport declare interface EditImageConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Cloud Storage URI used to store the generated images. */\n  outputGcsUri?: string;\n  /** Description of what to discourage in the generated images. */\n  negativePrompt?: string;\n  /** Number of images to generate. */\n  numberOfImages?: number;\n  /** Aspect ratio of the generated images. Supported values are\n      \"1:1\", \"3:4\", \"4:3\", \"9:16\", and \"16:9\". */\n  aspectRatio?: string;\n  /** Controls how much the model adheres to the text prompt. Large\n      values increase output and prompt alignment, but may compromise image\n      quality. */\n  guidanceScale?: number;\n  /** Random seed for image generation. This is not available when\n      ``add_watermark`` is set to true. */\n  seed?: number;\n  /** Filter level for safety filtering. */\n  safetyFilterLevel?: SafetyFilterLevel;\n  /** Allows generation of people by the model. */\n  personGeneration?: PersonGeneration;\n  /** Whether to report the safety scores of each generated image and\n      the positive prompt in the response. */\n  includeSafetyAttributes?: boolean;\n  /** Whether to include the Responsible AI filter reason if the image\n      is filtered out of the response. */\n  includeRaiReason?: boolean;\n  /** Language of the text in the prompt. */\n  language?: ImagePromptLanguage;\n  /** MIME type of the generated image. */\n  outputMimeType?: string;\n  /** Compression quality of the generated image (for ``image/jpeg``\n      only). */\n  outputCompressionQuality?: number;\n  /** Whether to add a watermark to the generated images. */\n  addWatermark?: boolean;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n  /** Describes the editing mode for the request. */\n  editMode?: EditMode;\n  /** The number of sampling steps. A higher value has better image\n      quality, while a lower value has better latency. */\n  baseSteps?: number;\n}\n\n/** Response for the request to edit an image. */\nexport class EditImageResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Generated images. */\n  generatedImages?: GeneratedImage[];\n}\n\nexport class UpscaleImageResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Generated images. */\n  generatedImages?: GeneratedImage[];\n}\n\n/** An image of the product. */\nexport declare interface ProductImage {\n  /** An image of the product to be recontextualized. */\n  productImage?: Image;\n}\n\n/** A set of source input(s) for image recontextualization. */\nexport declare interface RecontextImageSource {\n  /** A text prompt for guiding the model during image\n      recontextualization. Not supported for Virtual Try-On. */\n  prompt?: string;\n  /** Image of the person or subject who will be wearing the\n      product(s). */\n  personImage?: Image;\n  /** A list of product images. */\n  productImages?: ProductImage[];\n}\n\n/** Configuration for recontextualizing an image. */\nexport declare interface RecontextImageConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Number of images to generate. */\n  numberOfImages?: number;\n  /** The number of sampling steps. A higher value has better image\n      quality, while a lower value has better latency. */\n  baseSteps?: number;\n  /** Cloud Storage URI used to store the generated images. */\n  outputGcsUri?: string;\n  /** Random seed for image generation. */\n  seed?: number;\n  /** Filter level for safety filtering. */\n  safetyFilterLevel?: SafetyFilterLevel;\n  /** Whether allow to generate person images, and restrict to specific\n      ages. */\n  personGeneration?: PersonGeneration;\n  /** Whether to add a SynthID watermark to the generated images. */\n  addWatermark?: boolean;\n  /** MIME type of the generated image. */\n  outputMimeType?: string;\n  /** Compression quality of the generated image (for ``image/jpeg``\n      only). */\n  outputCompressionQuality?: number;\n  /** Whether to use the prompt rewriting logic. */\n  enhancePrompt?: boolean;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n}\n\n/** The parameters for recontextualizing an image. */\nexport declare interface RecontextImageParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** A set of source input(s) for image recontextualization. */\n  source: RecontextImageSource;\n  /** Configuration for image recontextualization. */\n  config?: RecontextImageConfig;\n}\n\n/** The output images response. */\nexport class RecontextImageResponse {\n  /** List of generated images. */\n  generatedImages?: GeneratedImage[];\n}\n\n/** An image mask representing a brush scribble. */\nexport declare interface ScribbleImage {\n  /** The brush scribble to guide segmentation. Valid for the interactive mode. */\n  image?: Image;\n}\n\n/** A set of source input(s) for image segmentation. */\nexport declare interface SegmentImageSource {\n  /** A text prompt for guiding the model during image segmentation.\n      Required for prompt mode and semantic mode, disallowed for other modes. */\n  prompt?: string;\n  /** The image to be segmented. */\n  image?: Image;\n  /** The brush scribble to guide segmentation.\n      Required for the interactive mode, disallowed for other modes. */\n  scribbleImage?: ScribbleImage;\n}\n\n/** Configuration for segmenting an image. */\nexport declare interface SegmentImageConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The segmentation mode to use. */\n  mode?: SegmentMode;\n  /** The maximum number of predictions to return up to, by top\n      confidence score. */\n  maxPredictions?: number;\n  /** The confidence score threshold for the detections as a decimal\n      value. Only predictions with a confidence score higher than this\n      threshold will be returned. */\n  confidenceThreshold?: number;\n  /** A decimal value representing how much dilation to apply to the\n      masks. 0 for no dilation. 1.0 means the masked area covers the whole\n      image. */\n  maskDilation?: number;\n  /** The binary color threshold to apply to the masks. The threshold\n      can be set to a decimal value between 0 and 255 non-inclusive.\n      Set to -1 for no binary color thresholding. */\n  binaryColorThreshold?: number;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n}\n\n/** The parameters for segmenting an image. */\nexport declare interface SegmentImageParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** A set of source input(s) for image segmentation. */\n  source: SegmentImageSource;\n  /** Configuration for image segmentation. */\n  config?: SegmentImageConfig;\n}\n\n/** An entity representing the segmented area. */\nexport declare interface EntityLabel {\n  /** The label of the segmented entity. */\n  label?: string;\n  /** The confidence score of the detected label. */\n  score?: number;\n}\n\n/** A generated image mask. */\nexport declare interface GeneratedImageMask {\n  /** The generated image mask. */\n  mask?: Image;\n  /** The detected entities on the segmented area. */\n  labels?: EntityLabel[];\n}\n\n/** The output images response. */\nexport class SegmentImageResponse {\n  /** List of generated image masks.\n   */\n  generatedMasks?: GeneratedImageMask[];\n}\n\n/** Optional parameters for models.get method. */\nexport declare interface GetModelConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\nexport declare interface GetModelParameters {\n  model: string;\n  /** Optional parameters for the request. */\n  config?: GetModelConfig;\n}\n\n/** An endpoint where you deploy models. */\nexport declare interface Endpoint {\n  /** Resource name of the endpoint. */\n  name?: string;\n  /** ID of the model that's deployed to the endpoint. */\n  deployedModelId?: string;\n}\n\n/** A tuned machine learning model. */\nexport declare interface TunedModelInfo {\n  /** ID of the base model that you want to tune. */\n  baseModel?: string;\n  /** Date and time when the base model was created. */\n  createTime?: string;\n  /** Date and time when the base model was last updated. */\n  updateTime?: string;\n}\n\n/** Describes the machine learning model version checkpoint. */\nexport declare interface Checkpoint {\n  /** The ID of the checkpoint.\n   */\n  checkpointId?: string;\n  /** The epoch of the checkpoint.\n   */\n  epoch?: string;\n  /** The step of the checkpoint.\n   */\n  step?: string;\n}\n\n/** A trained machine learning model. */\nexport declare interface Model {\n  /** Resource name of the model. */\n  name?: string;\n  /** Display name of the model. */\n  displayName?: string;\n  /** Description of the model. */\n  description?: string;\n  /** Version ID of the model. A new version is committed when a new\n      model version is uploaded or trained under an existing model ID. The\n      version ID is an auto-incrementing decimal number in string\n      representation. */\n  version?: string;\n  /** List of deployed models created from this base model. Note that a\n      model could have been deployed to endpoints in different locations. */\n  endpoints?: Endpoint[];\n  /** Labels with user-defined metadata to organize your models. */\n  labels?: Record<string, string>;\n  /** Information about the tuned model from the base model. */\n  tunedModelInfo?: TunedModelInfo;\n  /** The maximum number of input tokens that the model can handle. */\n  inputTokenLimit?: number;\n  /** The maximum number of output tokens that the model can generate. */\n  outputTokenLimit?: number;\n  /** List of actions that are supported by the model. */\n  supportedActions?: string[];\n  /** The default checkpoint id of a model version.\n   */\n  defaultCheckpointId?: string;\n  /** The checkpoints of the model. */\n  checkpoints?: Checkpoint[];\n  /** Temperature value used for sampling set when the dataset was saved.\n      This value is used to tune the degree of randomness. */\n  temperature?: number;\n  /** The maximum temperature value used for sampling set when the\n      dataset was saved. This value is used to tune the degree of randomness. */\n  maxTemperature?: number;\n  /** Optional. Specifies the nucleus sampling threshold. The model\n      considers only the smallest set of tokens whose cumulative probability is\n      at least `top_p`. This helps generate more diverse and less repetitive\n      responses. For example, a `top_p` of 0.9 means the model considers tokens\n      until the cumulative probability of the tokens to select from reaches 0.9.\n      It's recommended to adjust either temperature or `top_p`, but not both. */\n  topP?: number;\n  /** Optional. Specifies the top-k sampling threshold. The model\n      considers only the top k most probable tokens for the next token. This can\n      be useful for generating more coherent and less random text. For example,\n      a `top_k` of 40 means the model will choose the next word from the 40 most\n      likely words. */\n  topK?: number;\n  /** Whether the model supports thinking features. If true, thoughts are\n      returned only if the model supports thought and thoughts are available. */\n  thinking?: boolean;\n}\n\nexport declare interface ListModelsConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n  filter?: string;\n  /** Set true to list base models, false to list tuned models. */\n  queryBase?: boolean;\n}\n\nexport declare interface ListModelsParameters {\n  config?: ListModelsConfig;\n}\n\nexport class ListModelsResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  nextPageToken?: string;\n  models?: Model[];\n}\n\n/** Configuration for updating a tuned model. */\nexport declare interface UpdateModelConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  displayName?: string;\n  description?: string;\n  defaultCheckpointId?: string;\n}\n\n/** Configuration for updating a tuned model. */\nexport declare interface UpdateModelParameters {\n  model: string;\n  config?: UpdateModelConfig;\n}\n\n/** Configuration for deleting a tuned model. */\nexport declare interface DeleteModelConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for deleting a tuned model. */\nexport declare interface DeleteModelParameters {\n  model: string;\n  /** Optional parameters for the request. */\n  config?: DeleteModelConfig;\n}\n\nexport class DeleteModelResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Configuration for audio-specific output formatting. */\nexport class AudioResponseFormat {\n  /** Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). */\n  bitRate?: number;\n  /** Optional. Delivery mode for the generated content. */\n  delivery?: Delivery;\n  /** Optional. The MIME type of the audio output. */\n  mimeType?: string;\n  /** Optional. Sample rate for the generated audio in Hertz. */\n  sampleRate?: number;\n}\n\n/** Configuration for image-specific output formatting. */\nexport class ImageResponseFormat {\n  /** Optional. The aspect ratio for the image output. */\n  aspectRatio?: AspectRatio;\n  /** Optional. Delivery mode for the generated content. */\n  delivery?: Delivery;\n  /** Optional. The size of the image output. */\n  imageSize?: ImageSize;\n  /** Optional. The MIME type of the image output. */\n  mimeType?: string;\n}\n\n/** Configuration for text-specific output formatting. */\nexport class TextResponseFormat {\n  /** Optional. The IANA standard MIME type of the response. */\n  mimeType?: string;\n  /** Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. */\n  schema?: unknown;\n}\n\n/** Configuration for video-specific output formatting. This data type is not supported in Gemini API. */\nexport class VideoResponseFormat {\n  /** The aspect ratio for the video output. */\n  aspectRatio?: AspectRatio;\n  /** Optional. Delivery mode for the generated content. */\n  delivery?: Delivery;\n  /** Optional. The duration for the video output. */\n  duration?: string;\n  /** Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI. */\n  gcsUri?: string;\n}\n\n/** Configuration for the model to configure output formatting and delivery. This data type is not supported in Gemini API. */\nexport class ResponseFormat {\n  /** Audio output format. */\n  audio?: AudioResponseFormat;\n  /** Image output format. */\n  image?: ImageResponseFormat;\n  /** Text output format. */\n  text?: TextResponseFormat;\n  /** Video output format. */\n  video?: VideoResponseFormat;\n}\n\n/** Config for stream translation. */\nexport declare interface TranslationConfig {\n  /** Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language. */\n  echoTargetLanguage?: boolean;\n  /** Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\"). */\n  targetLanguageCode?: string;\n}\n\n/** Generation config. */\nexport declare interface GenerationConfig {\n  /** Optional. Config for model selection. */\n  modelSelectionConfig?: ModelSelectionConfig;\n  /** Output schema of the generated response. This is an alternative to\n      `response_schema` that accepts [JSON Schema](https://json-schema.org/).\n       */\n  responseJsonSchema?: unknown;\n  /** Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response. This field is not supported in Gemini API. */\n  audioTimestamp?: boolean;\n  /** Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one. */\n  candidateCount?: number;\n  /** Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response. This field is not supported in Gemini API. */\n  enableAffectiveDialog?: boolean;\n  /** Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0]. */\n  frequencyPenalty?: number;\n  /** Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response. */\n  logprobs?: number;\n  /** Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses. */\n  maxOutputTokens?: number;\n  /** Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model. */\n  mediaResolution?: MediaResolution;\n  /** Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0]. */\n  presencePenalty?: number;\n  /** Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging. */\n  responseLogprobs?: boolean;\n  /** Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead. */\n  responseMimeType?: string;\n  /** Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image. */\n  responseModalities?: Modality[];\n  /** Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead. */\n  responseSchema?: Schema;\n  /** Optional. Routing configuration. This field is not supported in Gemini API. */\n  routingConfig?: GenerationConfigRoutingConfig;\n  /** Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the \"random\" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results. */\n  seed?: number;\n  /** Optional. The speech generation config. */\n  speechConfig?: SpeechConfig;\n  /** Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use [\"\\n\", \"###\"] to stop generation at a new line or a specific marker. */\n  stopSequences?: string[];\n  /** Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0]. */\n  temperature?: number;\n  /** Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking. */\n  thinkingConfig?: ThinkingConfig;\n  /** Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words. */\n  topK?: number;\n  /** Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both. */\n  topP?: number;\n  /** Optional. Enables enhanced civic answers. It may not be available for all models. This field is not supported in Vertex AI. */\n  enableEnhancedCivicAnswers?: boolean;\n  /** Optional. New response format field for the model to configure output formatting and delivery. */\n  responseFormat?: ResponseFormat[];\n  /** Optional. Config for translation. This field is not supported in Vertex AI. */\n  translationConfig?: TranslationConfig;\n}\n\n/** Config for the count_tokens method. */\nexport declare interface CountTokensConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Instructions for the model to steer it toward better performance.\n   */\n  systemInstruction?: ContentUnion;\n  /** Code that enables the system to interact with external systems to\n      perform an action outside of the knowledge and scope of the model.\n       */\n  tools?: Tool[];\n  /** Configuration that the model uses to generate the response. Not\n      supported by the Gemini Developer API.\n       */\n  generationConfig?: GenerationConfig;\n}\n\n/** Parameters for counting tokens. */\nexport declare interface CountTokensParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** Input content. */\n  contents: ContentListUnion;\n  /** Configuration for counting tokens. */\n  config?: CountTokensConfig;\n}\n\n/** Response for counting tokens. */\nexport class CountTokensResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Total number of tokens. */\n  totalTokens?: number;\n  /** Number of tokens in the cached part of the prompt (the cached content). */\n  cachedContentTokenCount?: number;\n}\n\n/** Optional parameters for computing tokens. */\nexport declare interface ComputeTokensConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for computing tokens. */\nexport declare interface ComputeTokensParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** Input content. */\n  contents: ContentListUnion;\n  /** Optional parameters for the request.\n   */\n  config?: ComputeTokensConfig;\n}\n\n/** Tokens info with a list of tokens and the corresponding list of token ids. */\nexport declare interface TokensInfo {\n  /** Optional fields for the role from the corresponding Content. */\n  role?: string;\n  /** A list of token ids from the input. */\n  tokenIds?: string[];\n  /** A list of tokens from the input.\n   * @remarks Encoded as base64 string. */\n  tokens?: string[];\n}\n\n/** Response for computing tokens. */\nexport class ComputeTokensResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Lists of tokens info from the input. A ComputeTokensRequest could have multiple instances with a prompt in each instance. We also need to return lists of tokens info for the request with multiple instances. */\n  tokensInfo?: TokensInfo[];\n}\n\n/** A generated video. */\nexport declare interface Video {\n  /** Path to another storage. */\n  uri?: string;\n  /** Video bytes.\n   * @remarks Encoded as base64 string. */\n  videoBytes?: string;\n  /** Video encoding, for example ``video/mp4``. */\n  mimeType?: string;\n}\n\n/** A set of source input(s) for video generation. */\nexport declare interface GenerateVideosSource {\n  /** The text prompt for generating the videos.\n      Optional if image or video is provided. */\n  prompt?: string;\n  /** The input image for generating the videos.\n      Optional if prompt is provided. Not allowed if video is provided. */\n  image?: Image;\n  /** The input video for video extension use cases.\n      Optional if prompt is provided. Not allowed if image is provided. */\n  video?: Video;\n}\n\n/** A reference image for video generation. */\nexport declare interface VideoGenerationReferenceImage {\n  /** The reference image. */\n  image?: Image;\n  /** The type of the reference image, which defines how the reference\n      image will be used to generate the video. */\n  referenceType?: VideoGenerationReferenceType;\n}\n\n/** A mask for video generation. */\nexport declare interface VideoGenerationMask {\n  /** The image mask to use for generating videos. */\n  image?: Image;\n  /** Describes how the mask will be used. Inpainting masks must\n      match the aspect ratio of the input video. Outpainting masks can be\n      either 9:16 or 16:9. */\n  maskMode?: VideoGenerationMaskMode;\n}\n\n/** Configuration for webhook notifications.\n\nUsed to configure webhook endpoints that will receive notifications\nwhen long-running operations (e.g., batch jobs, video generation) complete. */\nexport declare interface WebhookConfig {\n  /** The webhook URIs to receive notifications. If set, these\n      webhook URIs will be used instead of the registered webhooks. */\n  uris?: string[];\n  /** User metadata that will be included in each webhook event\n      notification. Use this to attach custom key-value data to correlate\n      webhook events with your internal systems. */\n  userMetadata?: Record<string, unknown>;\n}\n\n/** Configuration for generating videos. */\nexport declare interface GenerateVideosConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Number of output videos. */\n  numberOfVideos?: number;\n  /** The gcs bucket where to save the generated videos. */\n  outputGcsUri?: string;\n  /** Frames per second for video generation. */\n  fps?: number;\n  /** Duration of the clip for video generation in seconds. */\n  durationSeconds?: number;\n  /** The RNG seed. If RNG seed is exactly same for each request with\n      unchanged inputs, the prediction results will be consistent. Otherwise,\n      a random RNG seed will be used each time to produce a different\n      result. */\n  seed?: number;\n  /** The aspect ratio for the generated video. 16:9 (landscape) and\n      9:16 (portrait) are supported. */\n  aspectRatio?: string;\n  /** The resolution for the generated video. 720p and 1080p are\n      supported. */\n  resolution?: string;\n  /** Whether allow to generate person videos, and restrict to specific\n      ages. Supported values are: dont_allow, allow_adult. */\n  personGeneration?: string;\n  /** The pubsub topic where to publish the video generation\n      progress. */\n  pubsubTopic?: string;\n  /** Explicitly state what should not be included in the generated\n      videos. */\n  negativePrompt?: string;\n  /** Whether to use the prompt rewriting logic. */\n  enhancePrompt?: boolean;\n  /** Whether to generate audio along with the video. */\n  generateAudio?: boolean;\n  /** Image to use as the last frame of generated videos.\n      Only supported for image to video use cases. */\n  lastFrame?: Image;\n  /** The images to use as the references to generate the videos.\n      If this field is provided, the text prompt field must also be provided.\n      The image, video, or last_frame field are not supported. Each image must\n      be associated with a type. Veo 2 supports up to 3 asset images *or* 1\n      style image. */\n  referenceImages?: VideoGenerationReferenceImage[];\n  /** The mask to use for generating videos. */\n  mask?: VideoGenerationMask;\n  /** Compression quality of the generated videos. */\n  compressionQuality?: VideoCompressionQuality;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n  /** Webhook configuration for receiving notifications when the\n      video generation operation completes. */\n  webhookConfig?: WebhookConfig;\n  /** Resize mode of the image input for video generation. */\n  resizeMode?: ImageResizeMode;\n}\n\n/** Class that represents the parameters for generating videos. */\nexport declare interface GenerateVideosParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** The text prompt for generating the videos.\n      Optional if image or video is provided. */\n  prompt?: string;\n  /** The input image for generating the videos.\n      Optional if prompt is provided. Not allowed if video is provided. */\n  image?: Image;\n  /** The input video for video extension use cases.\n      Optional if prompt is provided. Not allowed if image is provided. */\n  video?: Video;\n  /** A set of source input(s) for video generation. */\n  source?: GenerateVideosSource;\n  /** Configuration for generating videos. */\n  config?: GenerateVideosConfig;\n}\n\n/** A generated video. */\nexport declare interface GeneratedVideo {\n  /** The output video */\n  video?: Video;\n}\n\n/** Response with generated videos. */\nexport class GenerateVideosResponse {\n  /** List of the generated videos */\n  generatedVideos?: GeneratedVideo[];\n  /** Returns if any videos were filtered due to RAI policies. */\n  raiMediaFilteredCount?: number;\n  /** Returns rai failure reasons if any. */\n  raiMediaFilteredReasons?: string[];\n}\n\n/** A long-running operation. */\nexport declare interface Operation<T> {\n  /** The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. */\n  name?: string;\n  /** Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata.  Any method that returns a long-running operation should document the metadata type, if any. */\n  metadata?: Record<string, unknown>;\n  /** If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. */\n  done?: boolean;\n  /** The error result of the operation in case of failure or cancellation. */\n  error?: Record<string, unknown>;\n  /** The response if the operation is successful. */\n  response?: T;\n  /**\n   * Instantiates an Operation of the same type as the one being called with the fields set from the API response.\n   */\n  _fromAPIResponse({\n    apiResponse,\n    _isVertexAI,\n  }: OperationFromAPIResponseParameters): Operation<T>;\n}\n\n/** A video generation operation. */\nexport class GenerateVideosOperation\n  implements Operation<GenerateVideosResponse>\n{\n  /** The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. */\n  name?: string;\n  /** Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata.  Any method that returns a long-running operation should document the metadata type, if any. */\n  metadata?: Record<string, unknown>;\n  /** If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. */\n  done?: boolean;\n  /** The error result of the operation in case of failure or cancellation. */\n  error?: Record<string, unknown>;\n  /** The generated videos. */\n  response?: GenerateVideosResponse;\n\n  /**\n   * Instantiates an Operation of the same type as the one being called with the fields set from the API response.\n   */\n  _fromAPIResponse({\n    apiResponse,\n    _isVertexAI,\n  }: OperationFromAPIResponseParameters): Operation<GenerateVideosResponse> {\n    const operation = new GenerateVideosOperation();\n    let response;\n    const op = apiResponse as unknown as GenerateVideosOperation;\n\n    if (_isVertexAI) {\n      response = generateVideosOperationFromVertex(op);\n    } else {\n      response = generateVideosOperationFromMldev(op);\n    }\n    Object.assign(operation, response);\n    return operation;\n  }\n  /** The full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Optional parameters for tunings.get method. */\nexport declare interface GetTuningJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the get method. */\nexport declare interface GetTuningJobParameters {\n  name: string;\n  /** Optional parameters for the request. */\n  config?: GetTuningJobConfig;\n}\n\n/** TunedModelCheckpoint for the Tuned Model of a Tuning Job. */\nexport declare interface TunedModelCheckpoint {\n  /** The ID of the checkpoint.\n   */\n  checkpointId?: string;\n  /** The epoch of the checkpoint.\n   */\n  epoch?: string;\n  /** The step of the checkpoint.\n   */\n  step?: string;\n  /** The Endpoint resource name that the checkpoint is deployed to.\n      Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.\n       */\n  endpoint?: string;\n}\n\n/** TunedModel for the Tuned Model of a Tuning Job. */\nexport declare interface TunedModel {\n  /** Output only. The resource name of the TunedModel.\n      Format: `projects/{project}/locations/{location}/models/{model}@{version_id}`\n      When tuning from a base model, the version_id will be 1.\n      For continuous tuning, the version id will be incremented by 1 from the\n      last version id in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`\n       */\n  model?: string;\n  /** Output only. A resource name of an Endpoint.\n      Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.\n       */\n  endpoint?: string;\n  /** The checkpoints associated with this TunedModel.\n      This field is only populated for tuning jobs that enable intermediate\n      checkpoints. */\n  checkpoints?: TunedModelCheckpoint[];\n}\n\n/** Hyperparameters for SFT. This data type is not supported in Gemini API. */\nexport declare interface SupervisedHyperParameters {\n  /** Optional. Adapter size for tuning. */\n  adapterSize?: AdapterSize;\n  /** Optional. Batch size for tuning. This feature is only available for open source models. */\n  batchSize?: string;\n  /** Optional. Number of complete passes the model makes over the entire training dataset during training. */\n  epochCount?: string;\n  /** Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models. */\n  learningRate?: number;\n  /** Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models. */\n  learningRateMultiplier?: number;\n}\n\n/** Supervised tuning spec for tuning. */\nexport declare interface SupervisedTuningSpec {\n  /** Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false. */\n  exportLastCheckpointOnly?: boolean;\n  /** Optional. Hyperparameters for SFT. */\n  hyperParameters?: SupervisedHyperParameters;\n  /** Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  trainingDatasetUri?: string;\n  /** Tuning mode. */\n  tuningMode?: TuningMode;\n  /** Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  validationDatasetUri?: string;\n}\n\n/** Hyperparameters for Preference Optimization. This data type is not supported in Gemini API. */\nexport declare interface PreferenceOptimizationHyperParameters {\n  /** Optional. Adapter size for preference optimization. */\n  adapterSize?: AdapterSize;\n  /** Optional. Weight for KL Divergence regularization. */\n  beta?: number;\n  /** Optional. Number of complete passes the model makes over the entire training dataset during training. */\n  epochCount?: string;\n  /** Optional. Multiplier for adjusting the default learning rate. */\n  learningRateMultiplier?: number;\n}\n\n/** Preference optimization tuning spec for tuning. */\nexport declare interface PreferenceOptimizationSpec {\n  /** Optional. If set to true, disable intermediate checkpoints for Preference Optimization and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for Preference Optimization. Default is false. */\n  exportLastCheckpointOnly?: boolean;\n  /** Optional. Hyperparameters for Preference Optimization. */\n  hyperParameters?: PreferenceOptimizationHyperParameters;\n  /** Required. Cloud Storage path to file containing training dataset for preference optimization tuning. The dataset must be formatted as a JSONL file. */\n  trainingDatasetUri?: string;\n  /** Optional. Cloud Storage path to file containing validation dataset for preference optimization tuning. The dataset must be formatted as a JSONL file. */\n  validationDatasetUri?: string;\n}\n\n/** Distillation hyperparameters for tuning. */\nexport declare interface DistillationHyperParameters {\n  /** The size of the adapter. Can be 'small', 'medium', or 'large'. */\n  adapterSize?: AdapterSize;\n  /** Number of complete passes the model makes over the entire training dataset\n      during training. */\n  epochCount?: string;\n  /** Multiplier for adjusting the default learning rate. */\n  learningRateMultiplier?: number;\n  /** Generation config for Distillation teacher model sampling. Only the\n      following fields are supported for distillation teacher samplings:\n      - temperature\n      - top_p\n      - top_k\n      - candidate_count\n      - thinking_config */\n  generationConfig?: GenerationConfig;\n  /** The learning rate for distillation tuning. */\n  learningRate?: number;\n  /** Batch size for tuning. This feature is only available for open\n      source models. */\n  batchSize?: number;\n}\n\n/** Distillation sampling spec for tuning. */\nexport declare interface DistillationSamplingSpec {\n  /** The base teacher model that is being distilled. See [Supported\n       models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models). */\n  baseTeacherModel?: string;\n  /** The resource name of the Tuned teacher model. Format:\n      `projects/{project}/locations/{location}/models/{model}`. */\n  tunedTeacherModelSource?: string;\n  /** Cloud Storage path to file containing validation dataset for distillation.\n     The dataset must be formatted as a JSONL file. */\n  validationDatasetUri?: string;\n  /** Cloud Storage path to file containing prompt dataset for distillation.\n      The dataset must be formatted as a JSONL file. */\n  promptDatasetUri?: string;\n  /** Hyperparameters for distillation tuning. */\n  hyperparameters?: DistillationHyperParameters;\n}\n\n/** Distillation tuning spec for tuning. */\nexport declare interface DistillationSpec {\n  /** Optional. Cloud Storage path to file containing prompt dataset for distillation. The dataset must be formatted as a JSONL file. */\n  promptDatasetUri?: string;\n  /** The base teacher model that is being distilled. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models). */\n  baseTeacherModel?: string;\n  /** Optional. Hyperparameters for Distillation. */\n  hyperParameters?: DistillationHyperParameters;\n  /** Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts. */\n  pipelineRootDirectory?: string;\n  /** The student model that is being tuned, e.g., \"google/gemma-2b-1.1-it\". Deprecated. Use base_model instead. */\n  studentModel?: string;\n  /** Deprecated. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file. */\n  trainingDatasetUri?: string;\n  /** The resource name of the Tuned teacher model. Format: `projects/{project}/locations/{location}/models/{model}`. */\n  tunedTeacherModelSource?: string;\n  /** Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file. */\n  validationDatasetUri?: string;\n  /** Optional. Specifies the tuning mode for distillation (sft part). This feature is only available for open source models. */\n  tuningMode?: TuningMode;\n}\n\n/** Autorater config used for evaluation. */\nexport declare interface AutoraterConfig {\n  /** Number of samples for each instance in the dataset.\n  If not specified, the default is 4. Minimum value is 1, maximum value\n  is 32. */\n  samplingCount?: number;\n  /** Optional. Default is true. Whether to flip the candidate and baseline\n  responses. This is only applicable to the pairwise metric. If enabled, also\n  provide PairwiseMetricSpec.candidate_response_field_name and\n  PairwiseMetricSpec.baseline_response_field_name. When rendering\n  PairwiseMetricSpec.metric_prompt_template, the candidate and baseline\n  fields will be flipped for half of the samples to reduce bias. */\n  flipEnabled?: boolean;\n  /** The fully qualified name of the publisher model or tuned autorater\n  endpoint to use.\n\n  Publisher model format:\n  `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`\n\n  Tuned model endpoint format:\n  `projects/{project}/locations/{location}/endpoints/{endpoint}` */\n  autoraterModel?: string;\n  /** Configuration options for model generation and outputs. */\n  generationConfig?: GenerationConfig;\n}\n\n/** Defines how to parse sample response config for reinforcement tuning. The parsed response (i.e., substring) will be passed to the reward functions. For example, the input prompt might be: > \"Perform step-by-step thoughts first to problem A, finally output answer in the <ans> </ans> block.\" The sample response from the model under tuning might look like: > \"<ans>Yes</ans>\" Here, users can define the following parse config: ``` { \"parseType\": \"REGEX_EXTRACT\", \"regexExtractExpression\": \".*(.*?)\" } ``` The resulting parsed response would be `\"Yes\"` and will be passed to the reward functions for evaluating rewards. This data type is not supported in Gemini API. */\nexport class ReinforcementTuningParseResponseConfig {\n  /** Defines the type for parsing sample response. */\n  parseType?: ResponseParseType;\n  /** Defines the regex for extracting the important part of sample response. This field is only used when parse_type is ResponseParseType.REGEX_EXTRACT. */\n  regexExtractExpression?: string;\n}\n\n/** Scores responses by directly converting the parsed autorater response to a float reward. Note: Reward is clipped to be within `[-1, 1]`, i.e., `reward = max(min(reward, 1.0), -1.0)`. This data type is not supported in Gemini API. */\nexport class ReinforcementTuningAutoraterScorerParsedResponseConversionScorer {}\n\n/** Scores autorater responses by using exact string match reward scorer. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningAutoraterScorerExactMatchScorer {\n  /** Assigns this reward score if the parsed response string equals the expression. */\n  correctAnswerReward?: number;\n  /** Assigns this reward score if the parsed reward value does not equal the expression. */\n  wrongAnswerReward?: number;\n  /** The string expression to match against for scoring. This field supports placeholders in the format of {{references.key}} that will be replaced before matching. Regex is not supported for this expression. For example, users can define an ExactMatchScorer as follows: { \"correctAnswerReward\": 1.0, \"wrongAnswerReward\": -1.0, \"expression\": \"{{references.concise_answer}}\" } When evaluating the reward for each parsed autorater response, if the prompt references in the training/validation dataset has the following fields: ``` { \"example\": ..., \"references\": { \"concise_ansser\": \"Yes\", \"verbose_answer\": \"The answer is Yes\" } } ``` The above ExactMatchScorer will be replaced as follows for scoring: ``` { \"correctAnswerReward\": 1.0, \"wrongAnswerReward\": -1.0, \"expression\": \"Yes\" } ``` If the *parsed* autorater response is equal to the string `\"Yes\"`, then the reward is `1.0`, otherwise the reward is `-1.0`. */\n  expression?: string;\n}\n\n/** Reinforcement tuning autorater scorer. */\nexport declare interface ReinforcementTuningAutoraterScorer {\n  /** Autorater config for evaluation. */\n  autoraterConfig?: AutoraterConfig;\n  /** The prompt for an autorater to scorer the parsed sample response. This field supports the following placeholders that will be replaced before scoring: - {{prompt}} - {{response}} - {{system_instruction}} - {{references.key}}  */\n  autoraterPrompt?: string;\n  /** Parses autorater returned response for scoring. For example, if the autorater response has reward stored in the `2.0` block, defining a parsing response config using regex `\".*(.*?)\"` will return a score `\"2.0\"`. */\n  autoraterResponseParseConfig?: ReinforcementTuningParseResponseConfig;\n  /** Scores autorater responses by directly converting parsed autorater response to a float reward. Note: Reward is clipped to be within `[-1, 1]`, i.e., `reward = max(min(reward, 1.0), -1.0)`. */\n  parsedResponseConversionScorer?: ReinforcementTuningAutoraterScorerParsedResponseConversionScorer;\n  /** Scores autorater responses by using string match reward scorer. */\n  exactMatchScorer?: ReinforcementTuningAutoraterScorerExactMatchScorer;\n}\n\n/** ReinforcementTuningCodeExecutionRewardScorer allows users to implement a function to evaluate rewards for the sample response. The function signature is as follows: ``` def evaluate(example: dict[str, Any], response: dict[str, Any]) -> float: ... ``` `example` is a ReinforcementTuningExample in ProtoJSON format, (i.e., the format is the same as as one line in the training/validation dataset except that the keys must be in camel case). System instructions (i.e., `example.get(\"systemInstruction\")`) and references (i.e., `example.get(\"references\")`) are also included in the `example` provided that they are set in the training/validation dataset. `response` is a Content in ProtoJSON format (i.e., keys must be in camel case), which is the same as the Online Prediction response for Gemini models. Note: Reward output by the `evaluate` function is clipped to be within `[-1, 1]`, i.e., `reward = max(min(reward, 1.0), -1.0)`. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningCodeExecutionRewardScorer {\n  /** The python code snippet as a string for evaluating rewards. The following is an example python code snippet that returns a reward `1.0` for a parsed response matching the user-provided reference answer in per prompt references map. ``` def evaluate(example, response) -> float: response_str = response.get(\"parts\", [])0 references = example.get(\"references\", {}) if response_str == references.get(\"concise_answer\"): return 1.0 return -1.0 ``` Note: Reward output by the evaluate function is clipped to be within `[-1, 1]`, i.e., `reward = max(min(reward, 1.0), -1.0)`. */\n  pythonCodeSnippet?: string;\n}\n\n/** Evaluates parsed response using match type against the expression. Returns `true` if `MatchOperation(target, expression)` evaluates to `true`, and `false` otherwise. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningStringMatchRewardScorerStringMatchExpression {\n  /** Match operation to use for evaluating rewards. */\n  matchOperation?: MatchOperation;\n  /** A string or a regular expression to match against for evaluating rewards. Users can also provide a references map of `{key: value}` whose `value` will be used to replace the placeholder {{references.key}} in the expression. For example, if the following `references` are defined in the training / validation dataset: ``` { \"systemInstruction\": ..., \"contents\": ..., \"references\": { \"concise_answer\": \"Yes\", \"verbose_answer\": \"The answer is Yes\" } } ``` and if users define the following StringMatchExpression: { \"matchOperation\": \"REGEX_CONTAINS\", \"expression\": \".*{{references.concise_answer}}.*\" } On evaluating the reward for each sample response, this StringMatchExpression will be substituted as: ``` { \"matchOperation\": \"REGEX_CONTAINS\", \"expression\": \".*Yes.*\" } ``` */\n  expression?: string;\n}\n\n/** JsonMatchExpression supports converting the parsed responses to JSON format, finding the value in the JSON response that matches the key_name in the first level, and performing StringMatchExpression operation on the matched JSON value. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningStringMatchRewardScorerJsonMatchExpression {\n  /** The key name to find the value in the parsed response that's in JSON format. Only first-level key matching is supported. */\n  keyName?: string;\n  /** String match expression to match against the extracted value from the JSON representation of the parsed response. */\n  valueStringMatchExpression?: ReinforcementTuningStringMatchRewardScorerStringMatchExpression;\n}\n\n/** ReinforcementTuningStringMatchRewardScorer is used to score parsed responses for string matching use cases. For example, for math problems, users can use string match scorer to check if the correct exact answer is generated. Note: Reward returned by the string match reward function is clipped to be within `[-1, 1]` if wrongAnswerReward or correctAnswerReward are beyond the range, i.e., `reward = max(min(reward, 1.0), -1.0)`. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningStringMatchRewardScorer {\n  /** Wrong answer reward is returned if the parsed response is evaluated as `false`. All wrong answers get the same reward. */\n  wrongAnswerReward?: number;\n  /** Correct answer rewawrd is returned if the parsed response is evaluated as `true`. All correct answers get the same reward. */\n  correctAnswerReward?: number;\n  /** Uses string match expression to evaluate parsed response. */\n  stringMatchExpression?: ReinforcementTuningStringMatchRewardScorerStringMatchExpression;\n  /** Uses json match expression to evaluate parsed response. */\n  jsonMatchExpression?: ReinforcementTuningStringMatchRewardScorerJsonMatchExpression;\n}\n\n/** ReinforcementTuningCloudRunRewardScorer allows users to implement a reward function through GCP Cloud Run. Comparing with ReinforcementTuningCodeExecutionRewardScorer that runs in a Sandbox and has no internet access, Cloud Run reward scorer is fully controlled by users. The Cloud Run service should implement the following HTTP API: HTTP method: `POST` HTTP request body: ``` { \"example\": ReinforcementTuningExample, \"response\": Content, \"metadata\": { \"step\": int \"tuning_job_id\": int64 } } ``` * `example` is a ReinforcementTuningExample in ProtoJSON format, (i.e., the format is the same as as one line in the training/validation dataset except that the keys must be in camel case). System instructions (i.e., `example.get(\"systemInstruction\")`) and references (i.e., `example.get(\"references\")`) are also included in the `example` provided that they are set in the training/validation dataset. * `response` is a Content in ProtoJSON format (i.e., keys must be in camel case), which is the same as the Online Prediction response for Gemini models. HTTP response body: { \"reward\": float, \"user_requested_aux_info\": str // Optional } where the field \"user_requested_aux_info\" is any (optional) string provided by users for assisting debugging. It's in snake case. This field is mostly useful when calling the GenAiTuningService.ValidateReinforcementTuningReward API, where the proto field (not Cloud Run HTTP response body) userRequestedAuxInfo will be populated if the Cloud Run reward function sets this field in the HTTP response. The following are examples for the HTTP request and response body. Example HTTP request body: ``` { \"example\": { \"contents\": [ { \"role\": \"user\", \"parts\": [ { \"text\": \"What is the capital of France?\" } ] } ], \"references\": { \"answer\": \"Paris\" } }, \"response\": { \"parts\": [ { \"text\": \"London\" } ] }, \"metadata\": { \"step\": 1, \"tuning_job_id\": 123456789 } } ``` Example HTTP response body: ``` { \"reward\": -1.0 } ``` Note: Reward output by Cloud Run reward function is clipped to be within `[-1, 1]`, i.e., `reward = max(min(reward, 1.0), -1.0)`. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningCloudRunRewardScorer {\n  /** URI of the Cloud Run service that will be used to compute the reward. The [Vertex AI Secure Fine Tuning Service Agent](https://docs.cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent) (`service-@gcp-sa-vertex-tune.iam.gserviceaccount.com`) must be granted the permission (e.g. by granting `roles/run.invoker` in IAM) to invoke the Cloud Run service. */\n  cloudRunUri?: string;\n}\n\n/** Single reinforcement tuning reward config. */\nexport declare interface SingleReinforcementTuningRewardConfig {\n  /** Scores parsed responses for autorater use cases by using a model to compute the reward. */\n  autoraterScorer?: ReinforcementTuningAutoraterScorer;\n  /** A unique reward name for identifying each single reinforcement tuning reward. */\n  rewardName?: string;\n  /** Defines how to parse sample response. For example, given a sample response for evaluating the reward, users might want to extract the text only between `` and `` in the sample response, and keeps only the last one in case there are multiple such tags. To achieve such a purpose, they can define a regex `\".*(.*?)\"` using the ReinforcementTuningParseResponseConfig.ResponseParseType.REGEX_EXTRACT parse type. */\n  parseResponseConfig?: ReinforcementTuningParseResponseConfig;\n  /** ReinforcementTuningCodeExecutionRewardScorer is used to score parsed responses for code execution use cases. */\n  codeExecutionRewardScorer?: ReinforcementTuningCodeExecutionRewardScorer;\n  /** ReinforcementTuningStringMatchRewardScorer is used to score parsed responses for simple string matching use cases against reference answers. */\n  stringMatchRewardScorer?: ReinforcementTuningStringMatchRewardScorer;\n  /** ReinforcementTuningCloudRunRewardScorer is used to score parsed responses by calling a Cloud Run service. */\n  cloudRunRewardScorer?: ReinforcementTuningCloudRunRewardScorer;\n}\n\n/** Composite reinforcement tuning reward config weighted reward config. */\nexport declare interface CompositeReinforcementTuningRewardConfigWeightedRewardConfig {\n  /** Single reward configuration. */\n  rewardConfig?: SingleReinforcementTuningRewardConfig;\n  /** How much this single reward contributes to the total overall reward. Total reward is a linear combination of single rewards with their corresponding weights, i.e., ``` total_reward = ( weight_a * reward_a + weight_b * reward_b + ... ) / (weight_a + weight_b + ...) ``` */\n  weight?: number;\n}\n\n/** Composite reinforcement tuning reward config. */\nexport declare interface CompositeReinforcementTuningRewardConfig {\n  /** List of reward function configurations with weights. */\n  weightedRewardConfigs?: CompositeReinforcementTuningRewardConfigWeightedRewardConfig[];\n}\n\n/** Hyperparameters for Reinforcement Tuning. */\nexport declare interface ReinforcementTuningHyperParameters {\n  /** Optional. Number of training epoches for the tuning job. */\n  epochCount?: string;\n  /** Learning rate multiplier for Reinforcement Learning. */\n  learningRateMultiplier?: number;\n  /** Optional. Adapter size for Reinforcement Tuning. */\n  adapterSize?: AdapterSize;\n  /** Optional. Number of different responses to generate per prompt during tuning. */\n  samplesPerPrompt?: number;\n  /** Optional. Batch size for the tuning job. How many prompts to process at a train step. If not set, the batch size will be determined automatically. */\n  batchSize?: number;\n  /** Optional. How often at steps to evaluate the tuning job during training. If not set, evel will be run per epoch. `total_steps = epoch_count * samples_per_prompt / total_prompts_in_dataset` */\n  evaluateInterval?: number;\n  /** Optional. How often at steps to save checkpoints during training. If not set, one checkpoint per epoch will be set. ```total_steps = epoch_count * samples_per_prompt / total_prompts_in_dataset``` */\n  checkpointInterval?: number;\n  /** Optional. The maximum number of tokens to generate per prompt. Default to 32768. */\n  maxOutputTokens?: number;\n  /** Indicates the maximum thinking depth during tuning. Starting from Gemini 3.5 models, the old thinking_budget will no longer be supported and will result in a user error if set. Instead, users should use the thinking_level parameter to control the maximum thinking depth. */\n  thinkingLevel?: ReinforcementTuningThinkingLevel;\n  /** Optional. The thinking budget for the tuning job to optimize for (Gemini 2.5 only). * -1 means dynamic thinking * 0 means no thinking * > 0 means thinking budget in tokens If not set, default to -1 (dynamic thinking). */\n  thinkingBudget?: number;\n}\n\n/** Reinforcement tuning spec for tuning. */\nexport declare interface ReinforcementTuningSpec {\n  /** Composite reward function configuration for reinforcement tuning. */\n  compositeRewardConfig?: CompositeReinforcementTuningRewardConfig;\n  /** Cloud Storage path to the file containing training dataset for tuning. The dataset must be formatted as a JSONL file. */\n  trainingDatasetUri?: string;\n  /** Cloud Storage path to the file containing validation dataset for tuning. The dataset must be formatted as a JSONL file. */\n  validationDatasetUri?: string;\n  /** Additional hyper-parameters to use during tuning. */\n  hyperParameters?: ReinforcementTuningHyperParameters;\n  /** Single reward function configuration for reinforcement tuning. */\n  singleRewardConfig?: SingleReinforcementTuningRewardConfig;\n}\n\n/** The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). This data type is not supported in Gemini API. */\nexport declare interface GoogleRpcStatus {\n  /** The status code, which should be an enum value of google.rpc.Code. */\n  code?: number;\n  /** A list of messages that carry the error details. There is a common set of message types for APIs to use. */\n  details?: Record<string, unknown>[];\n  /** A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. */\n  message?: string;\n}\n\n/** A pre-tuned model for continuous tuning. This data type is not supported in Gemini API. */\nexport declare interface PreTunedModel {\n  /** Output only. The name of the base model this PreTunedModel was tuned from. */\n  baseModel?: string;\n  /** Optional. The source checkpoint id. If not specified, the default checkpoint will be used. */\n  checkpointId?: string;\n  /** The resource name of the Model. E.g., a model resource name with a specified version id or alias: `projects/{project}/locations/{location}/models/{model}@{version_id}` `projects/{project}/locations/{location}/models/{model}@{alias}` Or, omit the version id to use the default version: `projects/{project}/locations/{location}/models/{model}` */\n  tunedModelName?: string;\n}\n\n/** Dataset bucket used to create a histogram for the distribution given a population of values. This data type is not supported in Gemini API. */\nexport declare interface DatasetDistributionDistributionBucket {\n  /** Output only. Number of values in the bucket. */\n  count?: string;\n  /** Output only. Left bound of the bucket. */\n  left?: number;\n  /** Output only. Right bound of the bucket. */\n  right?: number;\n}\n\n/** Distribution computed over a tuning dataset. This data type is not supported in Gemini API. */\nexport declare interface DatasetDistribution {\n  /** Output only. Defines the histogram bucket. */\n  buckets?: DatasetDistributionDistributionBucket[];\n  /** Output only. The maximum of the population values. */\n  max?: number;\n  /** Output only. The arithmetic mean of the values in the population. */\n  mean?: number;\n  /** Output only. The median of the values in the population. */\n  median?: number;\n  /** Output only. The minimum of the population values. */\n  min?: number;\n  /** Output only. The 5th percentile of the values in the population. */\n  p5?: number;\n  /** Output only. The 95th percentile of the values in the population. */\n  p95?: number;\n  /** Output only. Sum of a given population of values. */\n  sum?: number;\n}\n\n/** User-facing format for Gemini Reinforcement Tuning examples on Vertex. */\nexport declare interface ReinforcementTuningExample {\n  /** Multi-turn contents that represents the Prompt. */\n  contents?: Content[];\n  /** References for the given prompt. The key is the name of the reference, and the value is the reference itself. */\n  references?: Record<string, string>;\n  /** Corresponds to system_instruction in user-facing GenerateContentRequest. */\n  systemInstruction?: Content;\n}\n\n/** Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. This data type is not supported in Gemini API. */\nexport declare interface ReinforcementTuningUserDatasetExamples {\n  /** List of user datasset examples showing to user. */\n  userDatasetExamples?: ReinforcementTuningExample[];\n}\n\n/** Statistics computed over a tuning dataset. This data type is not supported in Gemini API. */\nexport declare interface DatasetStats {\n  /** Output only. A partial sample of the indices (starting from 1) of the dropped examples. */\n  droppedExampleIndices?: string[];\n  /** Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped. */\n  droppedExampleReasons?: string[];\n  /** Output only. Number of billable characters in the tuning dataset. */\n  totalBillableCharacterCount?: string;\n  /** Output only. Number of tuning characters in the tuning dataset. */\n  totalTuningCharacterCount?: string;\n  /** Output only. Number of examples in the tuning dataset. */\n  tuningDatasetExampleCount?: string;\n  /** Output only. Number of tuning steps for this Tuning Job. */\n  tuningStepCount?: string;\n  /** Output only. Sample user messages in the training dataset uri. */\n  userDatasetExamples?: Content[];\n  /** Output only. Dataset distributions for the user input tokens. */\n  userInputTokenDistribution?: DatasetDistribution;\n  /** Output only. Dataset distributions for the messages per example. */\n  userMessagePerExampleDistribution?: DatasetDistribution;\n  /** Output only. Dataset distributions for the user output tokens. */\n  userOutputTokenDistribution?: DatasetDistribution;\n  /** Output only. Dataset distributions for the number of contents per example. */\n  contentsPerExampleDistribution?: DatasetDistribution;\n  /** Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning. */\n  reinforcementTuningUserDatasetExamples?: ReinforcementTuningUserDatasetExamples;\n  /** Output only. Number of billable tokens in the tuning dataset. */\n  totalBillableTokenCount?: string;\n}\n\n/** Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. This data type is not supported in Gemini API. */\nexport declare interface DistillationDataStats {\n  /** Output only. Statistics computed for the training dataset. */\n  trainingDatasetStats?: DatasetStats;\n}\n\n/** Completion and its preference score. This data type is not supported in Gemini API. */\nexport declare interface GeminiPreferenceExampleCompletion {\n  /** Single turn completion for the given prompt. */\n  completion?: Content;\n  /** The score for the given completion. */\n  score?: number;\n}\n\n/** Input example for preference optimization. This data type is not supported in Gemini API. */\nexport declare interface GeminiPreferenceExample {\n  /** List of completions for a given prompt. */\n  completions?: GeminiPreferenceExampleCompletion[];\n  /** Multi-turn contents that represents the Prompt. */\n  contents?: Content[];\n}\n\n/** Statistics computed for datasets used for preference optimization. This data type is not supported in Gemini API. */\nexport declare interface PreferenceOptimizationDataStats {\n  /** Output only. A partial sample of the indices (starting from 1) of the dropped examples. */\n  droppedExampleIndices?: string[];\n  /** Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped. */\n  droppedExampleReasons?: string[];\n  /** Output only. Dataset distributions for scores variance per example. */\n  scoreVariancePerExampleDistribution?: DatasetDistribution;\n  /** Output only. Dataset distributions for scores. */\n  scoresDistribution?: DatasetDistribution;\n  /** Output only. Number of billable tokens in the tuning dataset. */\n  totalBillableTokenCount?: string;\n  /** Output only. Number of examples in the tuning dataset. */\n  tuningDatasetExampleCount?: string;\n  /** Output only. Number of tuning steps for this Tuning Job. */\n  tuningStepCount?: string;\n  /** Output only. Sample user examples in the training dataset. */\n  userDatasetExamples?: GeminiPreferenceExample[];\n  /** Output only. Dataset distributions for the user input tokens. */\n  userInputTokenDistribution?: DatasetDistribution;\n  /** Output only. Dataset distributions for the user output tokens. */\n  userOutputTokenDistribution?: DatasetDistribution;\n}\n\n/** Dataset bucket used to create a histogram for the distribution given a population of values. This data type is not supported in Gemini API. */\nexport declare interface SupervisedTuningDatasetDistributionDatasetBucket {\n  /** Output only. Number of values in the bucket. */\n  count?: number;\n  /** Output only. Left bound of the bucket. */\n  left?: number;\n  /** Output only. Right bound of the bucket. */\n  right?: number;\n}\n\n/** Dataset distribution for Supervised Tuning. This data type is not supported in Gemini API. */\nexport declare interface SupervisedTuningDatasetDistribution {\n  /** Output only. Sum of a given population of values that are billable. */\n  billableSum?: string;\n  /** Output only. Defines the histogram bucket. */\n  buckets?: SupervisedTuningDatasetDistributionDatasetBucket[];\n  /** Output only. The maximum of the population values. */\n  max?: number;\n  /** Output only. The arithmetic mean of the values in the population. */\n  mean?: number;\n  /** Output only. The median of the values in the population. */\n  median?: number;\n  /** Output only. The minimum of the population values. */\n  min?: number;\n  /** Output only. The 5th percentile of the values in the population. */\n  p5?: number;\n  /** Output only. The 95th percentile of the values in the population. */\n  p95?: number;\n  /** Output only. Sum of a given population of values. */\n  sum?: string;\n}\n\n/** Tuning data statistics for Supervised Tuning. This data type is not supported in Gemini API. */\nexport declare interface SupervisedTuningDataStats {\n  /** Output only. For each index in `truncated_example_indices`, the user-facing reason why the example was dropped. */\n  droppedExampleReasons?: string[];\n  /** Output only. Number of billable characters in the tuning dataset. */\n  totalBillableCharacterCount?: string;\n  /** Output only. Number of billable tokens in the tuning dataset. */\n  totalBillableTokenCount?: string;\n  /** Output only. The number of examples in the dataset that have been dropped. An example can be dropped for reasons including: too many tokens, contains an invalid image, contains too many images, etc. */\n  totalTruncatedExampleCount?: string;\n  /** Output only. Number of tuning characters in the tuning dataset. */\n  totalTuningCharacterCount?: string;\n  /** Output only. A partial sample of the indices (starting from 1) of the dropped examples. */\n  truncatedExampleIndices?: string[];\n  /** Output only. Number of examples in the tuning dataset. */\n  tuningDatasetExampleCount?: string;\n  /** Output only. Number of tuning steps for this Tuning Job. */\n  tuningStepCount?: string;\n  /** Output only. Sample user messages in the training dataset uri. */\n  userDatasetExamples?: Content[];\n  /** Output only. Dataset distributions for the user input tokens. */\n  userInputTokenDistribution?: SupervisedTuningDatasetDistribution;\n  /** Output only. Dataset distributions for the messages per example. */\n  userMessagePerExampleDistribution?: SupervisedTuningDatasetDistribution;\n  /** Output only. Dataset distributions for the user output tokens. */\n  userOutputTokenDistribution?: SupervisedTuningDatasetDistribution;\n}\n\n/** The tuning data statistic values for TuningJob. This data type is not supported in Gemini API. */\nexport declare interface TuningDataStats {\n  /** Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. */\n  distillationDataStats?: DistillationDataStats;\n  /** Output only. Statistics for preference optimization. */\n  preferenceOptimizationDataStats?: PreferenceOptimizationDataStats;\n  /** The SFT Tuning data stats. */\n  supervisedTuningDataStats?: SupervisedTuningDataStats;\n  /** Output only. Statistics for reinforcement tuning. */\n  reinforcementTuningDataStats?: DatasetStats;\n}\n\n/** Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. This data type is not supported in Gemini API. */\nexport declare interface EncryptionSpec {\n  /** Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`. */\n  kmsKeyName?: string;\n}\n\n/** Tuning spec for Partner models. This data type is not supported in Gemini API. */\nexport declare interface PartnerModelTuningSpec {\n  /** Hyperparameters for tuning. The accepted hyper_parameters and their valid range of values will differ depending on the base model. */\n  hyperParameters?: Record<string, unknown>;\n  /** Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file. */\n  trainingDatasetUri?: string;\n  /** Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file. */\n  validationDatasetUri?: string;\n}\n\n/** Bleu metric value for an instance. This data type is not supported in Gemini API. */\nexport declare interface BleuMetricValue {\n  /** Output only. Bleu score. */\n  score?: number;\n}\n\n/** Result for custom code execution metric. This data type is not supported in Gemini API. */\nexport declare interface CustomCodeExecutionResult {\n  /** Output only. Custom code execution score. */\n  score?: number;\n}\n\n/** Exact match metric value for an instance. This data type is not supported in Gemini API. */\nexport declare interface ExactMatchMetricValue {\n  /** Output only. Exact match score. */\n  score?: number;\n}\n\n/** Raw output. This data type is not supported in Gemini API. */\nexport declare interface RawOutput {\n  /** Output only. Raw output string. */\n  rawOutput?: string[];\n}\n\n/** Spec for custom output. This data type is not supported in Gemini API. */\nexport declare interface CustomOutput {\n  /** Output only. List of raw output strings. */\n  rawOutputs?: RawOutput;\n}\n\n/** Spec for pairwise metric result. This data type is not supported in Gemini API. */\nexport declare interface PairwiseMetricResult {\n  /** Output only. Spec for custom output. */\n  customOutput?: CustomOutput;\n  /** Output only. Explanation for pairwise metric score. */\n  explanation?: string;\n  /** Output only. Pairwise metric choice. */\n  pairwiseChoice?: PairwiseChoice;\n}\n\n/** Spec for pointwise metric result. This data type is not supported in Gemini API. */\nexport declare interface PointwiseMetricResult {\n  /** Output only. Spec for custom output. */\n  customOutput?: CustomOutput;\n  /** Output only. Explanation for pointwise metric score. */\n  explanation?: string;\n  /** Output only. Pointwise metric score. */\n  score?: number;\n}\n\n/** Rouge metric value for an instance. This data type is not supported in Gemini API. */\nexport declare interface RougeMetricValue {\n  /** Output only. Rouge score. */\n  score?: number;\n}\n\n/** The aggregation result for a single metric. This data type is not supported in Gemini API. */\nexport declare interface AggregationResult {\n  /** Aggregation metric. */\n  aggregationMetric?: AggregationMetric;\n  /** Results for bleu metric. */\n  bleuMetricValue?: BleuMetricValue;\n  /** Result for code execution metric. */\n  customCodeExecutionResult?: CustomCodeExecutionResult;\n  /** Results for exact match metric. */\n  exactMatchMetricValue?: ExactMatchMetricValue;\n  /** Result for pairwise metric. */\n  pairwiseMetricResult?: PairwiseMetricResult;\n  /** Result for pointwise metric. */\n  pointwiseMetricResult?: PointwiseMetricResult;\n  /** Results for rouge metric. */\n  rougeMetricValue?: RougeMetricValue;\n}\n\n/** The BigQuery location for the input content. This data type is not supported in Gemini API. */\nexport declare interface BigQuerySource {\n  /** Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`. */\n  inputUri?: string;\n}\n\n/** The Google Cloud Storage location for the input content. This data type is not supported in Gemini API. */\nexport declare interface GcsSource {\n  /** Required. Google Cloud Storage URI(-s) to the input file(s). May contain wildcards. For more information on wildcards, see https://cloud.google.com/storage/docs/wildcards. */\n  uris?: string[];\n}\n\n/** The dataset used for evaluation. This data type is not supported in Gemini API. */\nexport declare interface EvaluationDataset {\n  /** BigQuery source holds the dataset. */\n  bigquerySource?: BigQuerySource;\n  /** Cloud storage source holds the dataset. Currently only one Cloud Storage file path is supported. */\n  gcsSource?: GcsSource;\n}\n\n/** The aggregation result for the entire dataset and all metrics. This data type is not supported in Gemini API. */\nexport declare interface AggregationOutput {\n  /** One AggregationResult per metric. */\n  aggregationResults?: AggregationResult[];\n  /** The dataset used for evaluation & aggregation. */\n  dataset?: EvaluationDataset;\n}\n\n/** Describes the info for output of EvaluationService. This data type is not supported in Gemini API. */\nexport declare interface OutputInfo {\n  /** Output only. The full path of the Cloud Storage directory created, into which the evaluation results and aggregation results are written. */\n  gcsOutputDirectory?: string;\n}\n\n/** The results from an evaluation run performed by the EvaluationService. This data type is not supported in Gemini API. */\nexport class EvaluateDatasetResponse {\n  /** Output only. Aggregation statistics derived from results of EvaluationService. */\n  aggregationOutput?: AggregationOutput;\n  /** Output only. Output info for EvaluationService. */\n  outputInfo?: OutputInfo;\n}\n\n/** Evaluate Dataset Run Result for Tuning Job. This data type is not supported in Gemini API. */\nexport declare interface EvaluateDatasetRun {\n  /** Output only. The checkpoint id used in the evaluation run. Only populated when evaluating checkpoints. */\n  checkpointId?: string;\n  /** Output only. The error of the evaluation run if any. */\n  error?: GoogleRpcStatus;\n  /** Output only. Results for EvaluationService. */\n  evaluateDatasetResponse?: EvaluateDatasetResponse;\n  /** Output only. The resource name of the evaluation run. Format: `projects/{project}/locations/{location}/evaluationRuns/{evaluation_run_id}`. */\n  evaluationRun?: string;\n  /** Output only. Deprecated: The updated architecture uses evaluation_run instead. */\n  operationName?: string;\n}\n\n/** Tuning Spec for Full Fine Tuning. This data type is not supported in Gemini API. */\nexport declare interface FullFineTuningSpec {\n  /** Optional. Hyperparameters for Full Fine Tuning. */\n  hyperParameters?: SupervisedHyperParameters;\n  /** Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  trainingDatasetUri?: string;\n  /** Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  validationDatasetUri?: string;\n}\n\n/** Hyperparameters for Veo. This data type is not supported in Gemini API. */\nexport declare interface VeoHyperParameters {\n  /** Optional. Number of complete passes the model makes over the entire training dataset during training. */\n  epochCount?: string;\n  /** Optional. Multiplier for adjusting the default learning rate. */\n  learningRateMultiplier?: number;\n  /** The tuning task for Veo. */\n  tuningTask?: TuningTask;\n  /** Optional. The ratio of Google internal dataset to use in the training mixture, in range of `[0, 1)`. If `0.2`, it means 20% of Google internal dataset and 80% of user dataset will be used for training. If not set, the default value is 0.1. */\n  veoDataMixtureRatio?: number;\n  /** Optional. The adapter size for LoRA tuning. */\n  adapterSize?: AdapterSize;\n  /** The speed of the tuning job. Only supported for Veo 3.0 models. */\n  tuningSpeed?: TuningSpeed;\n}\n\n/** Tuning Spec for Veo Model Tuning. This data type is not supported in Gemini API. */\nexport declare interface VeoTuningSpec {\n  /** Optional. Hyperparameters for Veo. */\n  hyperParameters?: VeoHyperParameters;\n  /** Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  trainingDatasetUri?: string;\n  /** Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  validationDatasetUri?: string;\n}\n\n/** Tuning job metadata. This data type is not supported in Gemini API. */\nexport declare interface TuningJobMetadata {\n  /** Output only. The number of epochs that have been completed. */\n  completedEpochCount?: string;\n  /** Output only. The number of steps that have been completed. Set for Multi-Step RL. */\n  completedStepCount?: string;\n}\n\n/** Tuning Spec for Veo LoRA Model Tuning. This data type is not supported in Gemini API. */\nexport declare interface VeoLoraTuningSpec {\n  /** Optional. Hyperparameters for Veo LoRA. */\n  hyperParameters?: VeoHyperParameters;\n  /** Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  trainingDatasetUri?: string;\n  /** Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. */\n  validationDatasetUri?: string;\n  /** Optional. The orientation of the video. Defaults to LANDSCAPE. */\n  videoOrientation?: VideoOrientation;\n}\n\n/** A tuning job. */\nexport declare interface TuningJob {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Output only. Identifier. Resource name of a TuningJob. Format: `projects/{project}/locations/{location}/tuningJobs/{tuning_job}` */\n  name?: string;\n  /** Output only. The detailed state of the job. */\n  state?: JobState;\n  /** Output only. Time when the TuningJob was created. */\n  createTime?: string;\n  /** Output only. Time when the TuningJob for the first time entered the `JOB_STATE_RUNNING` state. */\n  startTime?: string;\n  /** Output only. Time when the TuningJob entered any of the following JobStates: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`. */\n  endTime?: string;\n  /** Output only. Time when the TuningJob was most recently updated. */\n  updateTime?: string;\n  /** Output only. Only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`. */\n  error?: GoogleRpcStatus;\n  /** Optional. The description of the TuningJob. */\n  description?: string;\n  /** The base model that is being tuned. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models). */\n  baseModel?: string;\n  /** Output only. The tuned model resources associated with this TuningJob. */\n  tunedModel?: TunedModel;\n  /** The pre-tuned model for continuous tuning. */\n  preTunedModel?: PreTunedModel;\n  /** Tuning Spec for Supervised Fine Tuning. */\n  supervisedTuningSpec?: SupervisedTuningSpec;\n  /** Tuning Spec for Preference Optimization. */\n  preferenceOptimizationSpec?: PreferenceOptimizationSpec;\n  /** Tuning Spec for Distillation. */\n  distillationSpec?: DistillationSpec;\n  /** Tuning Spec for Reinforcement Tuning. */\n  reinforcementTuningSpec?: ReinforcementTuningSpec;\n  /** Output only. The tuning data statistics associated with this TuningJob. */\n  tuningDataStats?: TuningDataStats;\n  /** Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key. */\n  encryptionSpec?: EncryptionSpec;\n  /** Tuning Spec for open sourced and third party Partner models. */\n  partnerModelTuningSpec?: PartnerModelTuningSpec;\n  /** Optional. The user-provided path to custom model weights. Set this field to tune a custom model. The path must be a Cloud Storage directory that contains the model weights in .safetensors format along with associated model metadata files. If this field is set, the base_model field must still be set to indicate which base model the custom model is derived from. This feature is only available for open source models. */\n  customBaseModel?: string;\n  /** Output only. Evaluation runs for the Tuning Job. */\n  evaluateDatasetRuns?: EvaluateDatasetRun[];\n  /** Output only. The Experiment associated with this TuningJob. */\n  experiment?: string;\n  /** Tuning Spec for Full Fine Tuning. */\n  fullFineTuningSpec?: FullFineTuningSpec;\n  /** Optional. The labels with user-defined metadata to organize TuningJob and generated resources such as Model and Endpoint. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. */\n  labels?: Record<string, string>;\n  /** Optional. Cloud Storage path to the directory where tuning job outputs are written to. This field is only available and required for open source models. */\n  outputUri?: string;\n  /** Output only. The resource name of the PipelineJob associated with the TuningJob. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`. */\n  pipelineJob?: string;\n  /** The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account. */\n  serviceAccount?: string;\n  /** Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version. */\n  tunedModelDisplayName?: string;\n  /** Output only. The detail state of the tuning job (while the overall `JobState` is running). */\n  tuningJobState?: TuningJobState;\n  /** Tuning Spec for Veo Tuning. */\n  veoTuningSpec?: VeoTuningSpec;\n  /** Output only. Tuning Job metadata. */\n  tuningJobMetadata?: TuningJobMetadata;\n  /** Tuning Spec for Veo LoRA Tuning. */\n  veoLoraTuningSpec?: VeoLoraTuningSpec;\n  distillationSamplingSpec?: DistillationSamplingSpec;\n}\n\n/** Configuration for the list tuning jobs method. */\nexport declare interface ListTuningJobsConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n  filter?: string;\n}\n\n/** Parameters for the list tuning jobs method. */\nexport declare interface ListTuningJobsParameters {\n  config?: ListTuningJobsConfig;\n}\n\n/** Response for the list tuning jobs method. */\nexport class ListTuningJobsResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** A token to retrieve the next page of results. Pass this token in a subsequent [GenAiTuningService.ListTuningJobs] call to retrieve the next page of results. */\n  nextPageToken?: string;\n  /** The tuning jobs that match the request. */\n  tuningJobs?: TuningJob[];\n}\n\n/** Optional parameters for tunings.cancel method. */\nexport declare interface CancelTuningJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the cancel method. */\nexport declare interface CancelTuningJobParameters {\n  /** The resource name of the tuning job. */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: CancelTuningJobConfig;\n}\n\n/** Empty response for tunings.cancel method. */\nexport class CancelTuningJobResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** A single example for tuning. This data type is not supported in Vertex AI. */\nexport declare interface TuningExample {\n  /** Required. The expected model output. */\n  output?: string;\n  /** Optional. Text model input. */\n  textInput?: string;\n}\n\n/** Supervised fine-tuning training dataset. */\nexport declare interface TuningDataset {\n  /** GCS URI of the file containing training dataset in JSONL format. */\n  gcsUri?: string;\n  /** The resource name of the Gemini Enterprise Agent Platform (previously known as Vertex AI) Multimodal Dataset that is used as training dataset. Example: 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. */\n  vertexDatasetResource?: string;\n  /** Inline examples with simple input/output text. */\n  examples?: TuningExample[];\n}\n\nexport declare interface TuningValidationDataset {\n  /** GCS URI of the file containing validation dataset in JSONL format. */\n  gcsUri?: string;\n  /** The resource name of the Gemini Enterprise Agent Platform (previously known as Vertex AI) Multimodal Dataset that is used as validation dataset. Example: 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. */\n  vertexDatasetResource?: string;\n}\n\n/** Fine-tuning job creation request - optional fields. */\nexport declare interface CreateTuningJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The method to use for tuning (SUPERVISED_FINE_TUNING or PREFERENCE_TUNING or DISTILLATION or REINFORCEMENT_TUNING). If not set, the default method (SFT) will be used. */\n  method?: TuningMethod;\n  /** Validation dataset for tuning. The dataset must be formatted as a JSONL file. */\n  validationDataset?: TuningValidationDataset;\n  /** The display name of the tuned Model. The name can be up to 128 characters long and can consist of any UTF-8 characters. */\n  tunedModelDisplayName?: string;\n  /** The description of the TuningJob */\n  description?: string;\n  /** Number of complete passes the model makes over the entire training dataset during training. */\n  epochCount?: number;\n  /** Multiplier for adjusting the default learning rate. 1P models only. Mutually exclusive with learning_rate. */\n  learningRateMultiplier?: number;\n  /** If set to true, disable intermediate checkpoints and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints. */\n  exportLastCheckpointOnly?: boolean;\n  /** The optional checkpoint id of the pre-tuned model to use for tuning, if applicable. */\n  preTunedModelCheckpointId?: string;\n  /** Adapter size for tuning. */\n  adapterSize?: AdapterSize;\n  /** Tuning mode for tuning. */\n  tuningMode?: TuningMode;\n  /** Custom base model for tuning. This is only supported for OSS models in Gemini Enterprise Agent Platform. */\n  customBaseModel?: string;\n  /** The batch size hyperparameter for tuning. This is only supported for OSS models in Gemini Enterprise Agent Platform. */\n  batchSize?: number;\n  /** The learning rate for tuning. OSS models only. Mutually exclusive with learning_rate_multiplier. */\n  learningRate?: number;\n  /** Optional. The labels with user-defined metadata to organize TuningJob and generated resources such as Model and Endpoint. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. */\n  labels?: Record<string, string>;\n  /** Weight for KL Divergence regularization, Preference Optimization tuning only. */\n  beta?: number;\n  /** The base teacher model that is being distilled. Distillation only. */\n  baseTeacherModel?: string;\n  /** The resource name of the Tuned teacher model. Distillation only. */\n  tunedTeacherModelSource?: string;\n  /** Multiplier for adjusting the weight of the SFT loss. Distillation only. */\n  sftLossWeightMultiplier?: number;\n  /** The Google Cloud Storage location where the tuning job outputs are written. */\n  outputUri?: string;\n  /** The encryption spec of the tuning job. Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with provided encryption key. */\n  encryptionSpec?: EncryptionSpec;\n  /** Reward function configuration for reinforcement tuning. Reinforcement tuning only. */\n  rewardConfig?: SingleReinforcementTuningRewardConfig;\n  /** Composite reward function configuration for reinforcement tuning. Reinforcement tuning only. */\n  compositeRewardConfig?: CompositeReinforcementTuningRewardConfig;\n  /** Number of different responses to generate per prompt during tuning. Reinforcement tuning only. */\n  samplesPerPrompt?: number;\n  /** How often at steps to evaluate the tuning job during training. Reinforcement tuning only. */\n  evaluateInterval?: number;\n  /** How often at steps to save checkpoints during training. Reinforcement tuning only. */\n  checkpointInterval?: number;\n  /** The maximum number of tokens to generate per prompt. Reinforcement tuning only. */\n  maxOutputTokens?: number;\n  /** Indicates the maximum thinking depth. Use with earlier models shall result in error. Reinforcement tuning only. */\n  thinkingLevel?: ReinforcementTuningThinkingLevel;\n  /** Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file. If no validation dataset is provided, by default the API splits 25% of the training dataset or 50 examples, whichever is larger, as the validation dataset. Reinforcement tuning only. */\n  validationDatasetUri?: string;\n}\n\n/** Fine-tuning job creation parameters - optional fields. */\nexport declare interface CreateTuningJobParametersPrivate {\n  /** The base model that is being tuned, e.g., \"gemini-2.5-flash\". */\n  baseModel?: string;\n  /** The PreTunedModel that is being tuned. */\n  preTunedModel?: PreTunedModel;\n  /** Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file. */\n  trainingDataset: TuningDataset;\n  /** Configuration for the tuning job. */\n  config?: CreateTuningJobConfig;\n}\n\n/** A long-running operation. */\nexport declare interface TuningOperation {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. */\n  name?: string;\n  /** Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata.  Any method that returns a long-running operation should document the metadata type, if any. */\n  metadata?: Record<string, unknown>;\n  /** If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. */\n  done?: boolean;\n  /** The error result of the operation in case of failure or cancellation. */\n  error?: Record<string, unknown>;\n}\n\n/** Optional parameters for tunings.validate_reward. */\nexport declare interface ValidateRewardConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the validate_reward method.\n\nValidates a reinforcement tuning reward configuration against a sample\nresponse and example before creating a reinforcement tuning job. */\nexport declare interface ValidateRewardParameters {\n  /** Required. The resource name of the Location to validate the reward in, e.g. `projects/{project}/locations/{location}`. */\n  parent: string;\n  /** Required. The sample response for validating the reward configuration. */\n  sampleResponse: Content;\n  /** Required. The example to validate the reward configuration. */\n  example: ReinforcementTuningExample;\n  /** Single reward function configuration for reinforcement tuning. Mutually exclusive with composite_reward_config. */\n  singleRewardConfig?: SingleReinforcementTuningRewardConfig;\n  /** Composite reward function configuration for reinforcement tuning. Mutually exclusive with single_reward_config. */\n  compositeRewardConfig?: CompositeReinforcementTuningRewardConfig;\n  /** Optional parameters for the request. */\n  config?: ValidateRewardConfig;\n}\n\n/** The reward info for a reward function. */\nexport declare interface ReinforcementTuningRewardInfo {\n  /** Output only. The calculated reward for the reward function. */\n  reward?: number;\n  /** Output only. The user-requested auxiliary info for the reward function. This field is set only if the Cloud Run reward function configured by user returns a \"user_requested_aux_info\". Refer to ReinforcementTuningCloudRunRewardScorer for more details. */\n  userRequestedAuxInfo?: string;\n}\n\n/** Response for the validate_reward method.\n\nContains the computed reward for a reinforcement tuning reward\nconfiguration. */\nexport class ValidateRewardResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** Output only. The overall weighted reward. For a `CompositeReinforcementTuningRewardConfig`, this is the weighted average of all rewards. For a `SingleReinforcementTuningRewardConfig`, this will be the value of the single reward. */\n  overallReward?: number;\n  /** Output only. In case of an error, this field will be populated with a detailed error message to help with debugging. */\n  error?: string;\n  /** A map from reward name to reward info. */\n  rewardInfoDetails?: Record<string, ReinforcementTuningRewardInfo>;\n}\n\n/** Optional configuration for cached content creation. */\nexport declare interface CreateCachedContentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The TTL for this resource. The expiration time is computed: now + TTL. It is a duration string, with up to nine fractional digits, terminated by 's'. Example: \"3.5s\". */\n  ttl?: string;\n  /** Timestamp of when this resource is considered expired. Uses RFC 3339 format, Example: 2014-10-02T15:01:23Z. */\n  expireTime?: string;\n  /** The user-generated meaningful display name of the cached content.\n   */\n  displayName?: string;\n  /** The content to cache.\n   */\n  contents?: ContentListUnion;\n  /** Developer set system instruction.\n   */\n  systemInstruction?: ContentUnion;\n  /** A list of `Tools` the model may use to generate the next response.\n   */\n  tools?: Tool[];\n  /** Configuration for the tools to use. This config is shared for all tools.\n   */\n  toolConfig?: ToolConfig;\n  /** The Cloud KMS resource identifier of the customer managed\n      encryption key used to protect a resource.\n      The key needs to be in the same region as where the compute resource is\n      created. See\n      https://cloud.google.com/vertex-ai/docs/general/cmek for more\n      details. If this is set, then all created CachedContent objects\n      will be encrypted with the provided encryption key.\n      Allowed formats: projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}\n       */\n  kmsKeyName?: string;\n}\n\n/** Parameters for caches.create method. */\nexport declare interface CreateCachedContentParameters {\n  /** ID of the model to use. Example: gemini-2.0-flash */\n  model: string;\n  /** Configuration that contains optional parameters.\n   */\n  config?: CreateCachedContentConfig;\n}\n\n/** Metadata on the usage of the cached content. */\nexport declare interface CachedContentUsageMetadata {\n  /** Duration of audio in seconds. This field is not supported in Gemini API. */\n  audioDurationSeconds?: number;\n  /** Number of images. This field is not supported in Gemini API. */\n  imageCount?: number;\n  /** Number of text characters. This field is not supported in Gemini API. */\n  textCount?: number;\n  /** Total number of tokens that the cached content consumes. */\n  totalTokenCount?: number;\n  /** Duration of video in seconds. This field is not supported in Gemini API. */\n  videoDurationSeconds?: number;\n}\n\n/** A resource used in LLM queries for users to explicitly specify what to cache. */\nexport declare interface CachedContent {\n  /** The server-generated resource name of the cached content. */\n  name?: string;\n  /** The user-generated meaningful display name of the cached content. */\n  displayName?: string;\n  /** The name of the publisher model to use for cached content. */\n  model?: string;\n  /** Creation time of the cache entry. */\n  createTime?: string;\n  /** When the cache entry was last updated in UTC time. */\n  updateTime?: string;\n  /** Expiration time of the cached content. */\n  expireTime?: string;\n  /** Metadata on the usage of the cached content. */\n  usageMetadata?: CachedContentUsageMetadata;\n}\n\n/** Optional parameters for caches.get method. */\nexport declare interface GetCachedContentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for caches.get method. */\nexport declare interface GetCachedContentParameters {\n  /** The server-generated resource name of the cached content.\n   */\n  name: string;\n  /** Optional parameters for the request.\n   */\n  config?: GetCachedContentConfig;\n}\n\n/** Optional parameters for caches.delete method. */\nexport declare interface DeleteCachedContentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for caches.delete method. */\nexport declare interface DeleteCachedContentParameters {\n  /** The server-generated resource name of the cached content.\n   */\n  name: string;\n  /** Optional parameters for the request.\n   */\n  config?: DeleteCachedContentConfig;\n}\n\n/** Empty response for caches.delete method. */\nexport class DeleteCachedContentResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Optional parameters for caches.update method. */\nexport declare interface UpdateCachedContentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The TTL for this resource. The expiration time is computed: now + TTL. It is a duration string, with up to nine fractional digits, terminated by 's'. Example: \"3.5s\". */\n  ttl?: string;\n  /** Timestamp of when this resource is considered expired. Uses RFC 3339 format, Example: 2014-10-02T15:01:23Z. */\n  expireTime?: string;\n}\n\nexport declare interface UpdateCachedContentParameters {\n  /** The server-generated resource name of the cached content.\n   */\n  name: string;\n  /** Configuration that contains optional parameters.\n   */\n  config?: UpdateCachedContentConfig;\n}\n\n/** Config for caches.list method. */\nexport declare interface ListCachedContentsConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n}\n\n/** Parameters for caches.list method. */\nexport declare interface ListCachedContentsParameters {\n  /** Configuration that contains optional parameters.\n   */\n  config?: ListCachedContentsConfig;\n}\n\nexport class ListCachedContentsResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  nextPageToken?: string;\n  /** List of cached contents.\n   */\n  cachedContents?: CachedContent[];\n}\n\n/** Optional Config. */\nexport declare interface GetDocumentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for documents.get. */\nexport declare interface GetDocumentParameters {\n  /** The resource name of the Document.\n    Example: fileSearchStores/file-search-store-foo/documents/documents-bar */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: GetDocumentConfig;\n}\n\n/** User provided string values assigned to a single metadata key. This data type is not supported in Vertex AI. */\nexport declare interface StringList {\n  /** The string values of the metadata to store. */\n  values?: string[];\n}\n\n/** User provided metadata stored as key-value pairs. This data type is not supported in Vertex AI. */\nexport declare interface CustomMetadata {\n  /** Required. The key of the metadata to store. */\n  key?: string;\n  /** The numeric value of the metadata to store. */\n  numericValue?: number;\n  /** The StringList value of the metadata to store. */\n  stringListValue?: StringList;\n  /** The string value of the metadata to store. */\n  stringValue?: string;\n}\n\n/** A Document is a collection of Chunks. */\nexport declare interface Document {\n  /** Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/&#42;/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` */\n  name?: string;\n  /** Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\". */\n  displayName?: string;\n  /** Output only. Current state of the `Document`. */\n  state?: DocumentState;\n  /** Output only. The size of raw bytes ingested into the Document. */\n  sizeBytes?: string;\n  /** Output only. The mime type of the Document. */\n  mimeType?: string;\n  /** Output only. The Timestamp of when the `Document` was created. */\n  createTime?: string;\n  /** Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. */\n  customMetadata?: CustomMetadata[];\n  /** Output only. The Timestamp of when the `Document` was last updated. */\n  updateTime?: string;\n}\n\n/** Config for optional parameters. */\nexport declare interface DeleteDocumentConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** If set to true, any `Chunk`s and objects related to this `Document` will\n      also be deleted.\n       */\n  force?: boolean;\n}\n\n/** Config for documents.delete parameters. */\nexport declare interface DeleteDocumentParameters {\n  /** The resource name of the Document.\n    Example: fileSearchStores/file-search-store-foo/documents/documents-bar */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: DeleteDocumentConfig;\n}\n\n/** Config for optional parameters. */\nexport declare interface ListDocumentsConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n}\n\n/** Config for documents.list parameters. */\nexport declare interface ListDocumentsParameters {\n  /** The resource name of the FileSearchStores. Example: `fileSearchStore/file-search-store-foo` */\n  parent: string;\n  config?: ListDocumentsConfig;\n}\n\n/** Config for documents.list return value. */\nexport class ListDocumentsResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. */\n  nextPageToken?: string;\n  /** The returned `Document`s. */\n  documents?: Document[];\n}\n\n/** Optional parameters for creating a file search store. */\nexport declare interface CreateFileSearchStoreConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The human-readable display name for the file search store.\n   */\n  displayName?: string;\n  /** The embedding model to use for the FileSearchStore.\n      Format: `models/{model}`. If not specified, the default embedding model will be used.\n       */\n  embeddingModel?: string;\n}\n\n/** Config for file_search_stores.create parameters. */\nexport declare interface CreateFileSearchStoreParameters {\n  /** Optional parameters for creating a file search store.\n   */\n  config?: CreateFileSearchStoreConfig;\n}\n\n/** A collection of Documents. */\nexport declare interface FileSearchStore {\n  /** Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated. */\n  name?: string;\n  /** Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\". */\n  displayName?: string;\n  /** Output only. The Timestamp of when the `FileSearchStore` was created. */\n  createTime?: string;\n  /** Output only. The Timestamp of when the `FileSearchStore` was last updated. */\n  updateTime?: string;\n  /** Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval. */\n  activeDocumentsCount?: string;\n  /** Output only. The number of documents in the `FileSearchStore` that are being processed. */\n  pendingDocumentsCount?: string;\n  /** Output only. The number of documents in the `FileSearchStore` that have failed processing. */\n  failedDocumentsCount?: string;\n  /** Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`. */\n  sizeBytes?: string;\n  /** The embedding model used by the FileSearchStore. */\n  embeddingModel?: string;\n}\n\n/** Optional parameters for getting a FileSearchStore. */\nexport declare interface GetFileSearchStoreConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Config for file_search_stores.get parameters. */\nexport declare interface GetFileSearchStoreParameters {\n  /** The resource name of the FileSearchStore. Example: `fileSearchStores/my-file-search-store-123` */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: GetFileSearchStoreConfig;\n}\n\n/** Optional parameters for deleting a FileSearchStore. */\nexport declare interface DeleteFileSearchStoreConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** If set to true, any Documents and objects related to this FileSearchStore will also be deleted.\n      If false (the default), a FAILED_PRECONDITION error will be returned if\n      the FileSearchStore contains any Documents.\n       */\n  force?: boolean;\n}\n\n/** Config for file_search_stores.delete parameters. */\nexport declare interface DeleteFileSearchStoreParameters {\n  /** The resource name of the FileSearchStore. Example: `fileSearchStores/my-file-search-store-123` */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: DeleteFileSearchStoreConfig;\n}\n\n/** Optional parameters for listing FileSearchStore. */\nexport declare interface ListFileSearchStoresConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n}\n\n/** Config for file_search_stores.list parameters. */\nexport declare interface ListFileSearchStoresParameters {\n  /** Optional parameters for the list request. */\n  config?: ListFileSearchStoresConfig;\n}\n\n/** Config for file_search_stores.list return value. */\nexport class ListFileSearchStoresResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. */\n  nextPageToken?: string;\n  /** The returned file search stores. */\n  fileSearchStores?: FileSearchStore[];\n}\n\n/** Configuration for a white space chunking algorithm. */\nexport declare interface WhiteSpaceConfig {\n  /** Maximum number of tokens per chunk. */\n  maxTokensPerChunk?: number;\n  /** Maximum number of overlapping tokens between two adjacent chunks. */\n  maxOverlapTokens?: number;\n}\n\n/** Config for telling the service how to chunk the file. */\nexport declare interface ChunkingConfig {\n  /** White space chunking configuration. */\n  whiteSpaceConfig?: WhiteSpaceConfig;\n}\n\n/** Optional parameters for uploading a file to a FileSearchStore. */\nexport declare interface UploadToFileSearchStoreConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** MIME type of the file to be uploaded. If not provided, it will be inferred from the file extension. */\n  mimeType?: string;\n  /** Display name of the created document. */\n  displayName?: string;\n  /** User provided custom metadata stored as key-value pairs used for querying. */\n  customMetadata?: CustomMetadata[];\n  /** Config for telling the service how to chunk the file. */\n  chunkingConfig?: ChunkingConfig;\n}\n\n/** Generates the parameters for the private _upload_to_file_search_store method. */\nexport declare interface UploadToFileSearchStoreParameters {\n  /** The resource name of the FileSearchStore. Example: `fileSearchStores/my-file-search-store-123` */\n  fileSearchStoreName: string;\n  /** Used to override the default configuration. */\n  config?: UploadToFileSearchStoreConfig;\n}\n\n/** Response for the resumable upload method. */\nexport class UploadToFileSearchStoreResumableResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Optional parameters for importing a file. */\nexport declare interface ImportFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** User provided custom metadata stored as key-value pairs used for querying. */\n  customMetadata?: CustomMetadata[];\n  /** Config for telling the service how to chunk the file. */\n  chunkingConfig?: ChunkingConfig;\n}\n\n/** Config for file_search_stores.import_file parameters. */\nexport declare interface ImportFileParameters {\n  /** The resource name of the FileSearchStore. Example: `fileSearchStores/my-file-search-store-123` */\n  fileSearchStoreName: string;\n  /** The name of the File API File to import. Example: `files/abc-123` */\n  fileName: string;\n  /** Optional parameters for the request. */\n  config?: ImportFileConfig;\n}\n\n/** Response for ImportFile to import a File API file with a file search store. */\nexport class ImportFileResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** The name of the FileSearchStore containing Documents. */\n  parent?: string;\n  /** The identifier for the Document imported. */\n  documentName?: string;\n}\n\n/** Long-running operation for importing a file to a FileSearchStore. */\nexport class ImportFileOperation implements Operation<ImportFileResponse> {\n  /** The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. */\n  name?: string;\n  /** Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata.  Any method that returns a long-running operation should document the metadata type, if any. */\n  metadata?: Record<string, unknown>;\n  /** If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. */\n  done?: boolean;\n  /** The error result of the operation in case of failure or cancellation. */\n  error?: Record<string, unknown>;\n  /** The result of the ImportFile operation, available when the operation is done. */\n  response?: ImportFileResponse;\n\n  /**\n   * Instantiates an Operation of the same type as the one being called with the fields set from the API response.\n   */\n  _fromAPIResponse({\n    apiResponse,\n    _isVertexAI,\n  }: OperationFromAPIResponseParameters): Operation<ImportFileResponse> {\n    const operation = new ImportFileOperation();\n\n    const op = apiResponse as unknown as ImportFileOperation;\n    const response = importFileOperationFromMldev(op);\n    Object.assign(operation, response);\n    return operation;\n  }\n  /** The full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\nexport /** Used to override the default configuration. */\ndeclare interface ListFilesConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n}\n\n/** Generates the parameters for the list method. */\nexport declare interface ListFilesParameters {\n  /** Used to override the default configuration. */\n  config?: ListFilesConfig;\n}\n\n/** Status of a File that uses a common error model. */\nexport declare interface FileStatus {\n  /** A list of messages that carry the error details. There is a common set of message types for APIs to use. */\n  details?: Record<string, unknown>[];\n  /** A list of messages that carry the error details. There is a common set of message types for APIs to use. */\n  message?: string;\n  /** The status code. 0 for OK, 1 for CANCELLED */\n  code?: number;\n}\n\n/** A file uploaded to the API. */\nexport declare interface File {\n  /** The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` */\n  name?: string;\n  /** Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image' */\n  displayName?: string;\n  /** Output only. MIME type of the file. */\n  mimeType?: string;\n  /** Output only. Size of the file in bytes. */\n  sizeBytes?: string;\n  /** Output only. The timestamp of when the `File` was created. */\n  createTime?: string;\n  /** Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire. */\n  expirationTime?: string;\n  /** Output only. The timestamp of when the `File` was last updated. */\n  updateTime?: string;\n  /** Output only. SHA-256 hash of the uploaded bytes. The hash value is encoded in base64 format. */\n  sha256Hash?: string;\n  /** Output only. The URI of the `File`. */\n  uri?: string;\n  /** Output only. The URI of the `File`, only set for downloadable (generated) files. */\n  downloadUri?: string;\n  /** Output only. Processing state of the File. */\n  state?: FileState;\n  /** Output only. The source of the `File`. */\n  source?: FileSource;\n  /** Output only. Metadata for a video. */\n  videoMetadata?: Record<string, unknown>;\n  /** Output only. Error status if File processing failed. */\n  error?: FileStatus;\n}\n\n/** Response for the list files method. */\nexport class ListFilesResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** A token that can be sent as a `page_token` into a subsequent `ListFiles` call. */\n  nextPageToken?: string;\n  /** The list of `File`s. */\n  files?: File[];\n}\n\n/** Used to override the default configuration. */\nexport declare interface CreateFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Generates the parameters for the private _create method. */\nexport declare interface CreateFileParameters {\n  /** The file to be uploaded.\n            mime_type: (Required) The MIME type of the file. Must be provided.\n            name: (Optional) The name of the file in the destination (e.g.\n            'files/sample-image').\n            display_name: (Optional) The display name of the file.\n       */\n  file: File;\n  /** Used to override the default configuration. */\n  config?: CreateFileConfig;\n}\n\n/** Response for the create file method. */\nexport class CreateFileResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Used to override the default configuration. */\nexport declare interface GetFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Generates the parameters for the get method. */\nexport declare interface GetFileParameters {\n  /** The name identifier for the file to retrieve. */\n  name: string;\n  /** Used to override the default configuration. */\n  config?: GetFileConfig;\n}\n\n/** Used to override the default configuration. */\nexport declare interface DeleteFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Generates the parameters for the get method. */\nexport declare interface DeleteFileParameters {\n  /** The name identifier for the file to be deleted. */\n  name: string;\n  /** Used to override the default configuration. */\n  config?: DeleteFileConfig;\n}\n\n/** Response for the delete file method. */\nexport class DeleteFileResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Used to override the default configuration. */\nexport declare interface RegisterFilesConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the private _Register method. */\nexport declare interface InternalRegisterFilesParameters {\n  /** The Google Cloud Storage URIs to register. Example: `gs://bucket/object`. */\n  uris: string[];\n  /** Used to override the default configuration. */\n  config?: RegisterFilesConfig;\n}\n\n/** Response for the _register file method. */\nexport class RegisterFilesResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** The registered files. */\n  files?: File[];\n}\n\n/** Config for inlined request. */\nexport declare interface InlinedRequest {\n  /** ID of the model to use. For a list of models, see `Google models\n      <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model?: string;\n  /** Content of the request.\n   */\n  contents?: ContentListUnion;\n  /** The metadata to be associated with the request. */\n  metadata?: Record<string, string>;\n  /** Configuration that contains optional model parameters.\n   */\n  config?: GenerateContentConfig;\n}\n\n/** Config for `src` parameter. */\nexport declare interface BatchJobSource {\n  /** Storage format of the input files. Must be one of:\n      'jsonl', 'bigquery', 'vertex-dataset'.\n       */\n  format?: string;\n  /** The Google Cloud Storage URIs to input files.\n   */\n  gcsUri?: string[];\n  /** The BigQuery URI to input table.\n   */\n  bigqueryUri?: string;\n  /** The Gemini Developer API's file resource name of the input data\n      (e.g. \"files/12345\").\n       */\n  fileName?: string;\n  /** The Gemini Developer API's inlined input data to run batch job.\n   */\n  inlinedRequests?: InlinedRequest[];\n  /** This field is experimental and may change in future versions. The Vertex AI dataset resource name to use as input. Must be of type multimodal.\n   */\n  vertexDatasetName?: string;\n}\n\n/** This class is experimental and may change in future versions.\n\nThe specification for an output Vertex AI multimodal dataset. */\nexport declare interface VertexMultimodalDatasetDestination {\n  /** The BigQuery destination for the multimodal dataset. */\n  bigqueryDestination?: string;\n  /** The display name of the multimodal dataset. */\n  displayName?: string;\n}\n\n/** Job error. */\nexport declare interface JobError {\n  /** A list of messages that carry the error details. There is a common set of message types for APIs to use. */\n  details?: string[];\n  /** The status code. */\n  code?: number;\n  /** A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the `details` field. */\n  message?: string;\n}\n\n/** Config for `inlined_responses` parameter. */\nexport class InlinedResponse {\n  /** The response to the request.\n   */\n  response?: GenerateContentResponse;\n  /** The metadata to be associated with the request. */\n  metadata?: Record<string, string>;\n  /** The error encountered while processing the request.\n   */\n  error?: JobError;\n}\n\n/** Config for `response` parameter. */\nexport class SingleEmbedContentResponse {\n  /** The response to the request.\n   */\n  embedding?: ContentEmbedding;\n  /** The error encountered while processing the request.\n   */\n  tokenCount?: string;\n}\n\n/** Config for `inlined_embedding_responses` parameter. */\nexport class InlinedEmbedContentResponse {\n  /** Output only. The response to the request. */\n  response?: SingleEmbedContentResponse;\n  /** Output only. The error encountered while processing the request. */\n  error?: JobError;\n  /** Output only. The metadata associated with the request. */\n  metadata?: Record<string, unknown>;\n}\n\n/** Config for `dest` parameter. */\nexport declare interface BatchJobDestination {\n  /** Storage format of the output files. Must be one of:\n      'jsonl', 'bigquery', 'vertex-dataset'.\n       */\n  format?: string;\n  /** The Google Cloud Storage URI to the output file.\n   */\n  gcsUri?: string;\n  /** The BigQuery URI to the output table.\n   */\n  bigqueryUri?: string;\n  /** The Gemini Developer API's file resource name of the output data\n      (e.g. \"files/12345\"). The file will be a JSONL file with a single response\n      per line. The responses will be GenerateContentResponse messages formatted\n      as JSON. The responses will be written in the same order as the input\n      requests.\n       */\n  fileName?: string;\n  /** The responses to the requests in the batch. Returned when the batch was\n      built using inlined requests. The responses will be in the same order as\n      the input requests.\n       */\n  inlinedResponses?: InlinedResponse[];\n  /** The responses to the requests in the batch. Returned when the batch was\n      built using inlined requests. The responses will be in the same order as\n      the input requests.\n       */\n  inlinedEmbedContentResponses?: InlinedEmbedContentResponse[];\n  /** This field is experimental and may change in future versions. The Vertex AI dataset destination.\n   */\n  vertexDataset?: VertexMultimodalDatasetDestination;\n}\n\n/** Config for optional parameters. */\nexport declare interface CreateBatchJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The user-defined name of this BatchJob.\n   */\n  displayName?: string;\n  /** GCS or BigQuery URI prefix for the output predictions. Example:\n      \"gs://path/to/output/data\" or \"bq://projectId.bqDatasetId.bqTableId\".\n       */\n  dest?: BatchJobDestinationUnion;\n  /** Webhook configuration for receiving notifications when the batch\n      operation completes.\n       */\n  webhookConfig?: WebhookConfig;\n}\n\n/** Config for batches.create parameters. */\nexport declare interface CreateBatchJobParameters {\n  /** The name of the model to produces the predictions via the BatchJob.\n   */\n  model?: string;\n  /** GCS URI(-s) or BigQuery URI to your input data to run batch job.\n      Example: \"gs://path/to/input/data\" or \"bq://projectId.bqDatasetId.bqTableId\".\n       */\n  src: BatchJobSourceUnion;\n  /** Optional parameters for creating a BatchJob.\n   */\n  config?: CreateBatchJobConfig;\n}\n\n/** Represents the `output_info` field in batch jobs. */\nexport declare interface BatchJobOutputInfo {\n  /** This field is experimental and may change in future versions. The Vertex AI dataset name containing the output data. */\n  vertexMultimodalDatasetName?: string;\n  /** The full path of the Cloud Storage directory created, into which the prediction output is written. */\n  gcsOutputDirectory?: string;\n  /** The name of the BigQuery table created, in `predictions_TIMESTAMP` format, into which the prediction output is written. */\n  bigqueryOutputTable?: string;\n}\n\n/** Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch. This data type is not supported in Gemini API. */\nexport declare interface CompletionStats {\n  /** Output only. The number of entities for which any error was encountered. */\n  failedCount?: string;\n  /** Output only. In cases when enough errors are encountered a job, pipeline, or operation may be failed as a whole. Below is the number of entities for which the processing had not been finished (either in successful or failed state). Set to -1 if the number is unknown (for example, the operation failed before the total entity number could be collected). */\n  incompleteCount?: string;\n  /** Output only. The number of entities that had been processed successfully. */\n  successfulCount?: string;\n  /** Output only. The number of the successful forecast points that are generated by the forecasting model. This is ONLY used by the forecasting batch prediction. */\n  successfulForecastPointCount?: string;\n}\n\n/** Config for batches.create return value. */\nexport declare interface BatchJob {\n  /** The resource name of the BatchJob. Output only.\".\n   */\n  name?: string;\n  /** The display name of the BatchJob.\n   */\n  displayName?: string;\n  /** The state of the BatchJob.\n   */\n  state?: JobState;\n  /** Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED. */\n  error?: JobError;\n  /** The time when the BatchJob was created.\n   */\n  createTime?: string;\n  /** Output only. Time when the Job for the first time entered the `JOB_STATE_RUNNING` state. */\n  startTime?: string;\n  /** The time when the BatchJob was completed. This field is for Gemini Enterprise Agent Platform only.\n   */\n  endTime?: string;\n  /** The time when the BatchJob was last updated.\n   */\n  updateTime?: string;\n  /** The name of the model that produces the predictions via the BatchJob.\n   */\n  model?: string;\n  /** Configuration for the input data. This field is for Gemini Enterprise Agent Platform only.\n   */\n  src?: BatchJobSource;\n  /** Configuration for the output data.\n   */\n  dest?: BatchJobDestination;\n  /** Statistics on completed and failed prediction instances. This field is for Gemini Enterprise Agent Platform only.\n   */\n  completionStats?: CompletionStats;\n  /** Information further describing the output of this job. Output only.\n   */\n  outputInfo?: BatchJobOutputInfo;\n}\n\n/** Parameters for the embed_content method. */\nexport declare interface EmbedContentBatch {\n  /** The content to embed. Only the `parts.text` fields will be counted.\n   */\n  contents?: ContentListUnion;\n  /** Configuration that contains optional parameters.\n   */\n  config?: EmbedContentConfig;\n}\n\nexport declare interface EmbeddingsBatchJobSource {\n  /** The Gemini Developer API's file resource name of the input data\n      (e.g. \"files/12345\").\n       */\n  fileName?: string;\n  /** The Gemini Developer API's inlined input data to run batch job.\n   */\n  inlinedRequests?: EmbedContentBatch;\n}\n\n/** Config for optional parameters. */\nexport declare interface CreateEmbeddingsBatchJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The user-defined name of this BatchJob.\n   */\n  displayName?: string;\n}\n\n/** Config for batches.create parameters. */\nexport declare interface CreateEmbeddingsBatchJobParameters {\n  /** The name of the model to produces the predictions via the BatchJob.\n   */\n  model?: string;\n  /** input data to run batch job\".\n   */\n  src: EmbeddingsBatchJobSource;\n  /** Optional parameters for creating a BatchJob.\n   */\n  config?: CreateEmbeddingsBatchJobConfig;\n}\n\n/** Optional parameters. */\nexport declare interface GetBatchJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Config for batches.get parameters. */\nexport declare interface GetBatchJobParameters {\n  /** A fully-qualified BatchJob resource name or ID.\n    Example: \"projects/.../locations/.../batchPredictionJobs/456\"\n    or \"456\" when project and location are initialized in the client.\n     */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: GetBatchJobConfig;\n}\n\n/** Optional parameters. */\nexport declare interface CancelBatchJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Config for batches.cancel parameters. */\nexport declare interface CancelBatchJobParameters {\n  /** A fully-qualified BatchJob resource name or ID.\n    Example: \"projects/.../locations/.../batchPredictionJobs/456\"\n    or \"456\" when project and location are initialized in the client.\n     */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: CancelBatchJobConfig;\n}\n\n/** Config for optional parameters. */\nexport declare interface ListBatchJobsConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  pageSize?: number;\n  pageToken?: string;\n  filter?: string;\n}\n\n/** Config for batches.list parameters. */\nexport declare interface ListBatchJobsParameters {\n  config?: ListBatchJobsConfig;\n}\n\n/** Config for batches.list return value. */\nexport class ListBatchJobsResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  nextPageToken?: string;\n  batchJobs?: BatchJob[];\n}\n\n/** Optional parameters for models.get method. */\nexport declare interface DeleteBatchJobConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Config for batches.delete parameters. */\nexport declare interface DeleteBatchJobParameters {\n  /** A fully-qualified BatchJob resource name or ID.\n    Example: \"projects/.../locations/.../batchPredictionJobs/456\"\n    or \"456\" when project and location are initialized in the client.\n     */\n  name: string;\n  /** Optional parameters for the request. */\n  config?: DeleteBatchJobConfig;\n}\n\n/** The return value of delete operation. */\nexport declare interface DeleteResourceJob {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  name?: string;\n  done?: boolean;\n  error?: JobError;\n}\n\nexport declare interface GetOperationConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the GET method. */\nexport declare interface GetOperationParameters {\n  /** The server-assigned name for the operation. */\n  operationName: string;\n  /** Used to override the default configuration. */\n  config?: GetOperationConfig;\n}\n\nexport declare interface FetchPredictOperationConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters for the fetchPredictOperation method. */\nexport declare interface FetchPredictOperationParameters {\n  /** The server-assigned name for the operation. */\n  operationName: string;\n  resourceName: string;\n  /** Used to override the default configuration. */\n  config?: FetchPredictOperationConfig;\n}\n\nexport declare interface TestTableItem {\n  /** The name of the test. This is used to derive the replay id. */\n  name?: string;\n  /** The parameters to the test. Use pydantic models. */\n  parameters?: Record<string, unknown>;\n  /** Expects an exception for MLDev matching the string. */\n  exceptionIfMldev?: string;\n  /** Expects an exception for Vertex matching the string. */\n  exceptionIfVertex?: string;\n  /** Use if you don't want to use the default replay id which is derived from the test name. */\n  overrideReplayId?: string;\n  /** True if the parameters contain an unsupported union type. This test  will be skipped for languages that do not support the union type. */\n  hasUnion?: boolean;\n  /** When set to a reason string, this test will be skipped in the API mode. Use this flag for tests that can not be reproduced with the real API. E.g. a test that deletes a resource. */\n  skipInApiMode?: string;\n  /** Keys to ignore when comparing the request and response. This is useful for tests that are not deterministic. */\n  ignoreKeys?: string[];\n}\n\nexport declare interface TestTableFile {\n  comment?: string;\n  testMethod?: string;\n  parameterNames?: string[];\n  testTable?: TestTableItem[];\n}\n\n/** Represents a single request in a replay. */\nexport declare interface ReplayRequest {\n  method?: string;\n  url?: string;\n  headers?: Record<string, string>;\n  bodySegments?: Record<string, unknown>[];\n}\n\n/** Represents a single response in a replay. */\nexport class ReplayResponse {\n  statusCode?: number;\n  headers?: Record<string, string>;\n  bodySegments?: Record<string, unknown>[];\n  sdkResponseSegments?: Record<string, unknown>[];\n}\n\n/** Represents a single interaction, request and response in a replay. */\nexport declare interface ReplayInteraction {\n  request?: ReplayRequest;\n  response?: ReplayResponse;\n}\n\n/** Represents a recorded session. */\nexport declare interface ReplayFile {\n  replayId?: string;\n  interactions?: ReplayInteraction[];\n}\n\n/** Used to override the default configuration. */\nexport declare interface UploadFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The name of the file in the destination (e.g., 'files/sample-image'. If not provided one will be generated. */\n  name?: string;\n  /** mime_type: The MIME type of the file. If not provided, it will be inferred from the file extension. */\n  mimeType?: string;\n  /** Optional display name of the file. */\n  displayName?: string;\n}\n\n/** Used to override the default configuration. */\nexport declare interface DownloadFileConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\n/** Parameters used to download a file. */\nexport declare interface DownloadFileParameters {\n  /** The file to download. It can be a file name, a file object or a generated video. */\n  file: DownloadableFileUnion;\n  /** Location where the file should be downloaded to. */\n  downloadPath: string;\n  /** Configuration to for the download operation. */\n  config?: DownloadFileConfig;\n}\n\n/** Configuration for upscaling an image.\n\nFor more information on this configuration, refer to\nthe `Imagen API reference documentation\n<https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/imagen-api>`_. */\nexport declare interface UpscaleImageConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** Cloud Storage URI used to store the generated images. */\n  outputGcsUri?: string;\n  /** Filter level for safety filtering. */\n  safetyFilterLevel?: SafetyFilterLevel;\n  /** Allows generation of people by the model. */\n  personGeneration?: PersonGeneration;\n  /** Whether to include a reason for filtered-out images in the\n      response. */\n  includeRaiReason?: boolean;\n  /** The image format that the output should be saved as. */\n  outputMimeType?: string;\n  /** The level of compression. Only applicable if the\n      ``output_mime_type`` is ``image/jpeg``. */\n  outputCompressionQuality?: number;\n  /** Whether to add an image enhancing step before upscaling.\n      It is expected to suppress the noise and JPEG compression artifacts\n      from the input image. */\n  enhanceInputImage?: boolean;\n  /** With a higher image preservation factor, the original image\n      pixels are more respected. With a lower image preservation factor, the\n      output image will have be more different from the input image, but\n      with finer details and less noise. */\n  imagePreservationFactor?: number;\n  /** User specified labels to track billing usage. */\n  labels?: Record<string, string>;\n}\n\n/** User-facing config UpscaleImageParameters. */\nexport declare interface UpscaleImageParameters {\n  /** The model to use. */\n  model: string;\n  /** The input image to upscale. */\n  image: Image;\n  /** The factor to upscale the image (x2 or x4). */\n  upscaleFactor: string;\n  /** Configuration for upscaling. */\n  config?: UpscaleImageConfig;\n}\n\n/** A raw reference image.\n\nA raw reference image represents the base image to edit, provided by the user.\nIt can optionally be provided in addition to a mask reference image or\na style reference image. */\nexport class RawReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_RAW',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** A mask reference image.\n\nThis encapsulates either a mask image provided by the user and configs for\nthe user provided mask, or only config parameters for the model to generate\na mask.\n\nA mask image is an image whose non-zero values indicate where to edit the base\nimage. If the user provides a mask image, the mask must be in the same\ndimensions as the raw image. */\nexport class MaskReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Configuration for the mask reference image. */\n  config?: MaskReferenceConfig;\n  /** Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_MASK',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n      maskImageConfig: this.config,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** A control reference image.\n\nThe image of the control reference image is either a control image provided\nby the user, or a regular image which the backend will use to generate a\ncontrol image of. In the case of the latter, the\nenable_control_image_computation field in the config should be set to True.\n\nA control image is an image that represents a sketch image of areas for the\nmodel to fill in based on the prompt. */\nexport class ControlReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Configuration for the control reference image. */\n  config?: ControlReferenceConfig;\n  /** Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_CONTROL',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n      controlImageConfig: this.config,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** A style reference image.\n\nThis encapsulates a style reference image provided by the user, and\nadditionally optional config parameters for the style reference image.\n\nA raw reference image can also be provided as a destination for the style to\nbe applied to. */\nexport class StyleReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Configuration for the style reference image. */\n  config?: StyleReferenceConfig;\n  /** Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_STYLE',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n      styleImageConfig: this.config,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** A subject reference image.\n\nThis encapsulates a subject reference image provided by the user, and\nadditionally optional config parameters for the subject reference image.\n\nA raw reference image can also be provided as a destination for the subject to\nbe applied to. */\nexport class SubjectReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Configuration for the subject reference image. */\n  config?: SubjectReferenceConfig;\n  /* Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_SUBJECT',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n      subjectImageConfig: this.config,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** A content reference image.\n\nA content reference image represents a subject to reference (ex. person,\nproduct, animal) provided by the user. It can optionally be provided in\naddition to a style reference image (ex. background, style reference). */\nexport class ContentReferenceImage {\n  /** The reference image for the editing operation. */\n  referenceImage?: Image;\n  /** The id of the reference image. */\n  referenceId?: number;\n  /** The type of the reference image. Only set by the SDK. */\n  referenceType?: string;\n  /** Internal method to convert to ReferenceImageAPIInternal. */\n  toReferenceImageAPI(): ReferenceImageAPIInternal {\n    const referenceImageAPI = {\n      referenceType: 'REFERENCE_TYPE_CONTENT',\n      referenceImage: this.referenceImage,\n      referenceId: this.referenceId,\n    };\n    return referenceImageAPI;\n  }\n}\n\n/** Sent in response to a `LiveGenerateContentSetup` message from the client. */\nexport declare interface LiveServerSetupComplete {\n  /** The session id of the live session. */\n  sessionId?: string;\n  /** Signature of the verified consent audio. This is populated when the\n      request has a ReplicatedVoiceConfig with consent_audio set, if the consent\n      verification was successful. This may be used in a subsequent request\n      instead of the consent_audio to verify the same consent. */\n  voiceConsentSignature?: VoiceConsentSignature;\n}\n\n/** Audio transcription in Server Content. */\nexport declare interface Transcription {\n  /** Optional. Transcription text. */\n  text?: string;\n  /** Optional. The bool indicates the end of the transcription. */\n  finished?: boolean;\n  /** The BCP-47 language code of the transcription. */\n  languageCode?: string;\n}\n\n/** Incremental server update generated by the model in response to client messages.\n\nContent is generated as quickly as possible, and not in real time. Clients\nmay choose to buffer and play it out in real time. */\nexport declare interface LiveServerContent {\n  /** The content that the model has generated as part of the current conversation with the user. */\n  modelTurn?: Content;\n  /** If true, indicates that the model is done generating. Generation will only start in response to additional client messages. Can be set alongside `content`, indicating that the `content` is the last in the turn. */\n  turnComplete?: boolean;\n  /** If true, indicates that a client message has interrupted current model generation. If the client is playing out the content in realtime, this is a good signal to stop and empty the current queue. */\n  interrupted?: boolean;\n  /** Metadata returned to client when grounding is enabled. */\n  groundingMetadata?: GroundingMetadata;\n  /** If true, indicates that the model is done generating. When model is\n      interrupted while generating there will be no generation_complete message\n      in interrupted turn, it will go through interrupted > turn_complete.\n      When model assumes realtime playback there will be delay between\n      generation_complete and turn_complete that is caused by model\n      waiting for playback to finish. If true, indicates that the model\n      has finished generating all content. This is a signal to the client\n      that it can stop sending messages. */\n  generationComplete?: boolean;\n  /** Input transcription. The transcription is independent to the model\n      turn which means it doesn’t imply any ordering between transcription and\n      model turn. */\n  inputTranscription?: Transcription;\n  /** Output transcription. The transcription is independent to the model\n      turn which means it doesn’t imply any ordering between transcription and\n      model turn.\n       */\n  outputTranscription?: Transcription;\n  /** Metadata related to url context retrieval tool. */\n  urlContextMetadata?: UrlContextMetadata;\n  /** Reason for the turn is complete. */\n  turnCompleteReason?: TurnCompleteReason;\n  /** If true, indicates that the model is not generating content because\n      it is waiting for more input from the user, e.g. because it expects the\n      user to continue talking. */\n  waitingForInput?: boolean;\n  /** Low latency transcription updated while the user is speaking. */\n  interimInputTranscription?: Transcription;\n}\n\n/** Request for the client to execute the `function_calls` and return the responses with the matching `id`s. */\nexport declare interface LiveServerToolCall {\n  /** The function call to be executed. */\n  functionCalls?: FunctionCall[];\n}\n\n/** Notification for the client that a previously issued `ToolCallMessage` with the specified `id`s should have been not executed and should be cancelled.\n\nIf there were side-effects to those tool calls, clients may attempt to undo\nthe tool calls. This message occurs only in cases where the clients interrupt\nserver turns. */\nexport declare interface LiveServerToolCallCancellation {\n  /** The ids of the tool calls to be cancelled. */\n  ids?: string[];\n}\n\n/** Usage metadata about response(s). */\nexport declare interface UsageMetadata {\n  /** The total number of tokens in the prompt. This includes any text, images, or other media provided in the request. When `cached_content` is set, this also includes the number of tokens in the cached content. */\n  promptTokenCount?: number;\n  /** Output only. The number of tokens in the cached content that was used for this request. */\n  cachedContentTokenCount?: number;\n  /** Total number of tokens across all the generated response candidates. */\n  responseTokenCount?: number;\n  /** Output only. The number of tokens in the results from tool executions, which are provided back to the model as input, if applicable. */\n  toolUsePromptTokenCount?: number;\n  /** Output only. The number of tokens that were part of the model's generated \"thoughts\" output, if applicable. */\n  thoughtsTokenCount?: number;\n  /** The total number of tokens for the entire request. This is the sum of `prompt_token_count`, `candidates_token_count`, `tool_use_prompt_token_count`, and `thoughts_token_count`. */\n  totalTokenCount?: number;\n  /** Output only. A detailed breakdown of the token count for each modality in the prompt. */\n  promptTokensDetails?: ModalityTokenCount[];\n  /** Output only. A detailed breakdown of the token count for each modality in the cached content. */\n  cacheTokensDetails?: ModalityTokenCount[];\n  /** List of modalities that were returned in the response. */\n  responseTokensDetails?: ModalityTokenCount[];\n  /** Output only. A detailed breakdown by modality of the token counts from the results of tool executions, which are provided back to the model as input. */\n  toolUsePromptTokensDetails?: ModalityTokenCount[];\n  /** Output only. The traffic type for this request. This field is not supported in Gemini API. */\n  trafficType?: TrafficType;\n  /** Output only. Service tier of the request. This field is not supported in Vertex AI. */\n  serviceTier?: ServiceTier;\n}\n\n/** Server will not be able to service client soon. */\nexport declare interface LiveServerGoAway {\n  /** The remaining time before the connection will be terminated as ABORTED. The minimal time returned here is specified differently together with the rate limits for a given model. */\n  timeLeft?: string;\n}\n\n/** Update of the session resumption state.\n\nOnly sent if `session_resumption` was set in the connection config. */\nexport declare interface LiveServerSessionResumptionUpdate {\n  /** New handle that represents state that can be resumed. Empty if `resumable`=false. */\n  newHandle?: string;\n  /** True if session can be resumed at this point. It might be not possible to resume session at some points. In that case we send update empty new_handle and resumable=false. Example of such case could be model executing function calls or just generating. Resuming session (using previous session token) in such state will result in some data loss. */\n  resumable?: boolean;\n  /** Index of last message sent by client that is included in state represented by this SessionResumptionToken. Only sent when `SessionResumptionConfig.transparent` is set.\n\nPresence of this index allows users to transparently reconnect and avoid issue of losing some part of realtime audio input/video. If client wishes to temporarily disconnect (for example as result of receiving GoAway) they can do it without losing state by buffering messages sent since last `SessionResumptionTokenUpdate`. This field will enable them to limit buffering (avoid keeping all requests in RAM).\n\nNote: This should not be used for when resuming a session at some time later -- in those cases partial audio and video frames are likely not needed. */\n  lastConsumedClientMessageIndex?: string;\n}\n\nexport declare interface VoiceActivityDetectionSignal {\n  /** The type of the VAD signal. */\n  vadSignalType?: VadSignalType;\n}\n\n/** Voice activity signal. */\nexport declare interface VoiceActivity {\n  /** The type of the voice activity signal. */\n  voiceActivityType?: VoiceActivityType;\n  /** The time voice activity detected in audio time, relative to the start of the audio stream. */\n  audioOffset?: string;\n}\n\n/** Response message for API call. */\nexport class LiveServerMessage {\n  /** Sent in response to a `LiveClientSetup` message from the client. */\n  setupComplete?: LiveServerSetupComplete;\n  /** Content generated by the model in response to client messages. */\n  serverContent?: LiveServerContent;\n  /** Request for the client to execute the `function_calls` and return the responses with the matching `id`s. */\n  toolCall?: LiveServerToolCall;\n  /** Notification for the client that a previously issued `ToolCallMessage` with the specified `id`s should have been not executed and should be cancelled. */\n  toolCallCancellation?: LiveServerToolCallCancellation;\n  /** Usage metadata about model response(s). */\n  usageMetadata?: UsageMetadata;\n  /** Server will disconnect soon. */\n  goAway?: LiveServerGoAway;\n  /** Update of the session resumption state. */\n  sessionResumptionUpdate?: LiveServerSessionResumptionUpdate;\n  /** Voice activity detection signal. Allowlisted only. */\n  voiceActivityDetectionSignal?: VoiceActivityDetectionSignal;\n  /** Voice activity signal. */\n  voiceActivity?: VoiceActivity;\n  /**\n   * Returns the concatenation of all text parts from the server content if present.\n   *\n   * @remarks\n   * If there are non-text parts in the response, the concatenation of all text\n   * parts will be returned, and a warning will be logged.\n   */\n  get text(): string | undefined {\n    let text = '';\n    let anyTextPartFound = false;\n    const nonTextParts = [];\n    for (const part of this.serverContent?.modelTurn?.parts ?? []) {\n      for (const [fieldName, fieldValue] of Object.entries(part)) {\n        if (\n          fieldName !== 'text' &&\n          fieldName !== 'thought' &&\n          fieldValue !== null\n        ) {\n          nonTextParts.push(fieldName);\n        }\n      }\n      if (typeof part.text === 'string') {\n        if (typeof part.thought === 'boolean' && part.thought) {\n          continue;\n        }\n        anyTextPartFound = true;\n        text += part.text;\n      }\n    }\n    if (nonTextParts.length > 0) {\n      console.warn(\n        `there are non-text parts ${nonTextParts} in the response, returning concatenation of all text parts. Please refer to the non text parts for a full response from model.`,\n      );\n    }\n    // part.text === '' is different from part.text is null\n    return anyTextPartFound ? text : undefined;\n  }\n\n  /**\n   * Returns the concatenation of all inline data parts from the server content if present.\n   *\n   * @remarks\n   * If there are non-inline data parts in the\n   * response, the concatenation of all inline data parts will be returned, and\n   * a warning will be logged.\n   */\n  get data(): string | undefined {\n    let data = '';\n    const nonDataParts = [];\n    for (const part of this.serverContent?.modelTurn?.parts ?? []) {\n      for (const [fieldName, fieldValue] of Object.entries(part)) {\n        if (fieldName !== 'inlineData' && fieldValue !== null) {\n          nonDataParts.push(fieldName);\n        }\n      }\n      if (part.inlineData && typeof part.inlineData.data === 'string') {\n        data += atob(part.inlineData.data);\n      }\n    }\n    if (nonDataParts.length > 0) {\n      console.warn(\n        `there are non-data parts ${nonDataParts} in the response, returning concatenation of all data parts. Please refer to the non data parts for a full response from model.`,\n      );\n    }\n    return data.length > 0 ? btoa(data) : undefined;\n  }\n}\n\n/** Parameters of the fromAPIResponse method of the Operation class. */\nexport declare interface OperationFromAPIResponseParameters {\n  /** The API response to be converted to an Operation. */\n  apiResponse: Record<string, unknown>;\n  /** Whether the API response is from Vertex AI. */\n  _isVertexAI: boolean;\n}\n\n/**\n * Config for thinking feature.\n *\n * @deprecated This interface will be deprecated. Please use `ThinkingConfig` instead.\n */\nexport declare interface GenerationConfigThinkingConfig\n  extends ThinkingConfig {}\n\n/** Generates the parameters for the private registerFiles method. */\nexport declare interface RegisterFilesParameters {\n  /**\n   * The authentication object.\n   */\n  // eslint-disable-next-line @typescript-eslint/no-explicit-any\n  auth?: any;\n  /**\n   * The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.\n   */\n  uris: string[];\n  /** Used to override the default configuration. */\n  config?: RegisterFilesConfig;\n}\n\n/** Configures automatic detection of activity. */\nexport declare interface AutomaticActivityDetection {\n  /** If enabled, detected voice and text input count as activity. If disabled, the client must send activity signals. */\n  disabled?: boolean;\n  /** Determines how likely speech is to be detected. */\n  startOfSpeechSensitivity?: StartSensitivity;\n  /** Determines how likely detected speech is ended. */\n  endOfSpeechSensitivity?: EndSensitivity;\n  /** The required duration of detected speech before start-of-speech is committed. The lower this value the more sensitive the start-of-speech detection is and the shorter speech can be recognized. However, this also increases the probability of false positives. */\n  prefixPaddingMs?: number;\n  /** The required duration of detected non-speech (e.g. silence) before end-of-speech is committed. The larger this value, the longer speech gaps can be without interrupting the user's activity but this will increase the model's latency. */\n  silenceDurationMs?: number;\n}\n\n/** Marks the end of user activity.\n\nThis can only be sent if automatic (i.e. server-side) activity detection is\ndisabled. */\nexport declare interface RealtimeInputConfig {\n  /** If not set, automatic activity detection is enabled by default. If automatic voice detection is disabled, the client must send activity signals. */\n  automaticActivityDetection?: AutomaticActivityDetection;\n  /** Defines what effect activity has. */\n  activityHandling?: ActivityHandling;\n  /** Defines which input is included in the user's turn. */\n  turnCoverage?: TurnCoverage;\n}\n\n/** Configuration of session resumption mechanism.\n\nIncluded in `LiveConnectConfig.session_resumption`. If included server\nwill send `LiveServerSessionResumptionUpdate` messages. */\nexport declare interface SessionResumptionConfig {\n  /** Session resumption handle of previous session (session to restore).\n\nIf not present new session will be started. */\n  handle?: string;\n  /** If set the server will send `last_consumed_client_message_index` in the `session_resumption_update` messages to allow for transparent reconnections. */\n  transparent?: boolean;\n}\n\n/** Context window will be truncated by keeping only suffix of it.\n\nContext window will always be cut at start of USER role turn. System\ninstructions and `BidiGenerateContentSetup.prefix_turns` will not be\nsubject to the sliding window mechanism, they will always stay at the\nbeginning of context window. */\nexport declare interface SlidingWindow {\n  /** Session reduction target -- how many tokens we should keep. Window shortening operation has some latency costs, so we should avoid running it on every turn. Should be < trigger_tokens. If not set, trigger_tokens/2 is assumed. */\n  targetTokens?: string;\n}\n\n/** Enables context window compression -- mechanism managing model context window so it does not exceed given length. */\nexport declare interface ContextWindowCompressionConfig {\n  /** Number of tokens (before running turn) that triggers context window compression mechanism. */\n  triggerTokens?: string;\n  /** Sliding window compression mechanism. */\n  slidingWindow?: SlidingWindow;\n}\n\n/** Indicates the language of the audio should be automatically detected. */\nexport declare interface LanguageAuto {}\n\n/** Provides hints to the model about possible languages present in the audio. */\nexport declare interface LanguageHints {\n  /** BCP-47 language codes. At least one must be specified. */\n  languageCodes?: string[];\n}\n\n/** The audio transcription configuration in Setup. */\nexport declare interface AudioTranscriptionConfig {\n  /** Deprecated: use LanguageAuto or LanguageHints instead. */\n  languageCodes?: string[];\n  /** The model will detect the language automatically. Do not use together with LanguageHints. */\n  languageAuto?: LanguageAuto;\n  /** Specifies one or more languages in the audio. Do not use together with LanguageAuto. */\n  languageHints?: LanguageHints;\n  /** A list of phrases used for speech adaptation, which biases the ASR model to improve recognition of these specific terms. */\n  adaptationPhrases?: string[];\n}\n\n/** Config for proactivity features. */\nexport declare interface ProactivityConfig {\n  /** If enabled, the model can reject responding to the last prompt. For\n        example, this allows the model to ignore out of context speech or to stay\n        silent if the user did not make a request, yet. */\n  proactiveAudio?: boolean;\n}\n\n/** Configures the customized avatar to be used in the session. */\nexport declare interface CustomizedAvatar {\n  /** The mime type of the reference image, e.g., \"image/jpeg\". */\n  imageMimeType?: string;\n  /** The data of the reference image. The dimensions of the reference\n      image should be 9:16 (portrait) with a minimum resolution of 704x1280.\n  * @remarks Encoded as base64 string. */\n  imageData?: string;\n}\n\n/** Configures the avatar to be used in the session. */\nexport declare interface AvatarConfig {\n  /** Pre-built avatar id. */\n  avatarName?: string;\n  /** Customized avatar appearance with a reference image. */\n  customizedAvatar?: CustomizedAvatar;\n  /** The bitrate of compressed audio. */\n  audioBitrateBps?: number;\n  /** The bitrate of compressed video output. */\n  videoBitrateBps?: number;\n}\n\n/** Message contains configuration that will apply for the duration of the streaming session. */\nexport declare interface LiveClientSetup {\n  /** \n      The fully qualified name of the publisher model or tuned model endpoint to\n      use.\n       */\n  model?: string;\n  /** The generation configuration for the session.\n      Note: only a subset of fields are supported.\n       */\n  generationConfig?: GenerationConfig;\n  /** The user provided system instructions for the model.\n      Note: only text should be used in parts and content in each part will be\n      in a separate paragraph. */\n  systemInstruction?: ContentUnion;\n  /**  A list of `Tools` the model may use to generate the next response.\n\n      A `Tool` is a piece of code that enables the system to interact with\n      external systems to perform an action, or set of actions, outside of\n      knowledge and scope of the model. */\n  tools?: ToolListUnion;\n  /** Configures the realtime input behavior in BidiGenerateContent. */\n  realtimeInputConfig?: RealtimeInputConfig;\n  /** Configures session resumption mechanism.\n\n          If included server will send SessionResumptionUpdate messages. */\n  sessionResumption?: SessionResumptionConfig;\n  /** Configures context window compression mechanism.\n\n      If included, server will compress context window to fit into given length. */\n  contextWindowCompression?: ContextWindowCompressionConfig;\n  /** The transcription of the input aligns with the input audio language.\n   */\n  inputAudioTranscription?: AudioTranscriptionConfig;\n  /** The transcription of the output aligns with the language code\n      specified for the output audio.\n       */\n  outputAudioTranscription?: AudioTranscriptionConfig;\n  /** Configures the proactivity of the model. This allows the model to respond proactively to\n    the input and to ignore irrelevant input. */\n  proactivity?: ProactivityConfig;\n  /** Configures the explicit VAD signal. If enabled, the client will send\n      vad_signal to indicate the start and end of speech. This allows the server\n      to process the audio more efficiently. */\n  explicitVadSignal?: boolean;\n  /** Configures the avatar model behavior. */\n  avatarConfig?: AvatarConfig;\n  /** Safety settings in the request to block unsafe content in the\n      response.\n       */\n  safetySettings?: SafetySetting[];\n}\n\n/** Incremental update of the current conversation delivered from the client.\n\nAll the content here will unconditionally be appended to the conversation\nhistory and used as part of the prompt to the model to generate content.\n\nA message here will interrupt any current model generation. */\nexport declare interface LiveClientContent {\n  /** The content appended to the current conversation with the model.\n\n      For single-turn queries, this is a single instance. For multi-turn\n      queries, this is a repeated field that contains conversation history and\n      latest request.\n       */\n  turns?: Content[];\n  /** If true, indicates that the server content generation should start with\n  the currently accumulated prompt. Otherwise, the server will await\n  additional messages before starting generation. */\n  turnComplete?: boolean;\n}\n\n/** Marks the start of user activity.\n\nThis can only be sent if automatic (i.e. server-side) activity detection is\ndisabled. */\nexport declare interface ActivityStart {}\n\n/** Marks the end of user activity.\n\nThis can only be sent if automatic (i.e. server-side) activity detection is\ndisabled. */\nexport declare interface ActivityEnd {}\n\n/** User input that is sent in real time.\n\nThis is different from `LiveClientContent` in a few ways:\n\n  - Can be sent continuously without interruption to model generation.\n  - If there is a need to mix data interleaved across the\n    `LiveClientContent` and the `LiveClientRealtimeInput`, server attempts to\n    optimize for best response, but there are no guarantees.\n  - End of turn is not explicitly specified, but is rather derived from user\n    activity (for example, end of speech).\n  - Even before the end of turn, the data is processed incrementally\n    to optimize for a fast start of the response from the model.\n  - Is always assumed to be the user's input (cannot be used to populate\n    conversation history). */\nexport declare interface LiveClientRealtimeInput {\n  /** Inlined bytes data for media input. */\n  mediaChunks?: Blob[];\n  /** The realtime audio input stream. */\n  audio?: Blob;\n  /** \nIndicates that the audio stream has ended, e.g. because the microphone was\nturned off.\n\nThis should only be sent when automatic activity detection is enabled\n(which is the default).\n\nThe client can reopen the stream by sending an audio message.\n */\n  audioStreamEnd?: boolean;\n  /** The realtime video input stream. */\n  video?: Blob;\n  /** The realtime text input stream. */\n  text?: string;\n  /** Marks the start of user activity. */\n  activityStart?: ActivityStart;\n  /** Marks the end of user activity. */\n  activityEnd?: ActivityEnd;\n}\n\n/** Client generated response to a `ToolCall` received from the server.\n\nIndividual `FunctionResponse` objects are matched to the respective\n`FunctionCall` objects by the `id` field.\n\nNote that in the unary and server-streaming GenerateContent APIs function\ncalling happens by exchanging the `Content` parts, while in the bidi\nGenerateContent APIs function calling happens over this dedicated set of\nmessages. */\nexport class LiveClientToolResponse {\n  /** The response to the function calls. */\n  functionResponses?: FunctionResponse[];\n}\n\n/** Messages sent by the client in the API call. */\nexport declare interface LiveClientMessage {\n  /** Message to be sent by the system when connecting to the API. SDK users should not send this message. */\n  setup?: LiveClientSetup;\n  /** Incremental update of the current conversation delivered from the client. */\n  clientContent?: LiveClientContent;\n  /** User input that is sent in real time. */\n  realtimeInput?: LiveClientRealtimeInput;\n  /** Response to a `ToolCallMessage` received from the server. */\n  toolResponse?: LiveClientToolResponse;\n}\n\n/** Session config for the API connection. */\nexport declare interface LiveConnectConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** The generation configuration for the session. */\n  generationConfig?: GenerationConfig;\n  /** The requested modalities of the response. Represents the set of\n      modalities that the model can return. Defaults to AUDIO if not specified.\n       */\n  responseModalities?: Modality[];\n  /** Value that controls the degree of randomness in token selection.\n      Lower temperatures are good for prompts that require a less open-ended or\n      creative response, while higher temperatures can lead to more diverse or\n      creative results.\n       */\n  temperature?: number;\n  /** Tokens are selected from the most to least probable until the sum\n      of their probabilities equals this value. Use a lower value for less\n      random responses and a higher value for more random responses.\n       */\n  topP?: number;\n  /** For each token selection step, the ``top_k`` tokens with the\n      highest probabilities are sampled. Then tokens are further filtered based\n      on ``top_p`` with the final token selected using temperature sampling. Use\n      a lower number for less random responses and a higher number for more\n      random responses.\n       */\n  topK?: number;\n  /** Maximum number of tokens that can be generated in the response.\n   */\n  maxOutputTokens?: number;\n  /** If specified, the media resolution specified will be used.\n   */\n  mediaResolution?: MediaResolution;\n  /** When ``seed`` is fixed to a specific number, the model makes a best\n      effort to provide the same response for repeated requests. By default, a\n      random number is used.\n       */\n  seed?: number;\n  /** The speech generation configuration.\n   */\n  speechConfig?: SpeechConfig;\n  /** Config for thinking features.\n      An error will be returned if this field is set for models that don't\n      support thinking.\n       */\n  thinkingConfig?: ThinkingConfig;\n  /** If enabled, the model will detect emotions and adapt its responses accordingly. */\n  enableAffectiveDialog?: boolean;\n  /** The user provided system instructions for the model.\n      Note: only text should be used in parts and content in each part will be\n      in a separate paragraph. */\n  systemInstruction?: ContentUnion;\n  /** A list of `Tools` the model may use to generate the next response.\n\n      A `Tool` is a piece of code that enables the system to interact with\n      external systems to perform an action, or set of actions, outside of\n      knowledge and scope of the model. */\n  tools?: ToolListUnion;\n  /** Configures session resumption mechanism.\n\nIf included the server will send SessionResumptionUpdate messages. */\n  sessionResumption?: SessionResumptionConfig;\n  /** The transcription of the input aligns with the input audio language.\n   */\n  inputAudioTranscription?: AudioTranscriptionConfig;\n  /** The transcription of the output aligns with the language code\n      specified for the output audio.\n       */\n  outputAudioTranscription?: AudioTranscriptionConfig;\n  /** Configures the realtime input behavior in BidiGenerateContent. */\n  realtimeInputConfig?: RealtimeInputConfig;\n  /** Configures context window compression mechanism.\n\n      If included, server will compress context window to fit into given length. */\n  contextWindowCompression?: ContextWindowCompressionConfig;\n  /** Configures the proactivity of the model. This allows the model to respond proactively to\n    the input and to ignore irrelevant input. */\n  proactivity?: ProactivityConfig;\n  /** Configures the explicit VAD signal. If enabled, the client will send\n      vad_signal to indicate the start and end of speech. This allows the server\n      to process the audio more efficiently. */\n  explicitVadSignal?: boolean;\n  /** Configures the avatar model behavior. */\n  avatarConfig?: AvatarConfig;\n  /** Safety settings in the request to block unsafe content in the\n      response.\n       */\n  safetySettings?: SafetySetting[];\n  /** Config for translation. */\n  translationConfig?: TranslationConfig;\n}\n\n/** Parameters for connecting to the live API. */\nexport declare interface LiveConnectParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** callbacks */\n  callbacks: LiveCallbacks;\n  /** Optional configuration parameters for the request.\n   */\n  config?: LiveConnectConfig;\n}\n\n/** Parameters for initializing a new chat session.\n\nThese parameters are used when creating a chat session with the\n`chats.create()` method. */\nexport declare interface CreateChatParameters {\n  /** The name of the model to use for the chat session.\n\n      For example: 'gemini-2.0-flash', 'gemini-2.0-flash-lite', etc. See Gemini API\n      docs to find the available models.\n       */\n  model: string;\n  /** Config for the entire chat session.\n\n      This config applies to all requests within the session\n      unless overridden by a per-request `config` in `SendMessageParameters`.\n       */\n  config?: GenerateContentConfig;\n  /** The initial conversation history for the chat session.\n\n      This allows you to start the chat with a pre-existing history. The history\n      must be a list of `Content` alternating between 'user' and 'model' roles.\n      It should start with a 'user' message.\n       */\n  history?: Content[];\n}\n\n/** Parameters for sending a message within a chat session.\n\nThese parameters are used with the `chat.sendMessage()` method. */\nexport declare interface SendMessageParameters {\n  /** The message to send to the model.\n\n      The SDK will combine all parts into a single 'user' content to send to\n      the model.\n       */\n  message: PartListUnion;\n  /**  Config for this specific request.\n\n      Please note that the per-request config does not change the chat level\n      config, nor inherit from it. If you intend to use some values from the\n      chat's default config, you must explicitly copy them into this per-request\n      config.\n       */\n  config?: GenerateContentConfig;\n}\n\n/** Parameters for sending client content to the live API. */\nexport declare interface LiveSendClientContentParameters {\n  /** Client content to send to the session. */\n  turns?: ContentListUnion;\n  /** If true, indicates that the server content generation should start with\n  the currently accumulated prompt. Otherwise, the server will await\n  additional messages before starting generation. */\n  turnComplete?: boolean;\n}\n\n/** Parameters for sending realtime input to the live API. */\nexport declare interface LiveSendRealtimeInputParameters {\n  /** Realtime input to send to the session. */\n  media?: BlobImageUnion;\n  /** The realtime audio input stream. */\n  audio?: Blob;\n  /** \nIndicates that the audio stream has ended, e.g. because the microphone was\nturned off.\n\nThis should only be sent when automatic activity detection is enabled\n(which is the default).\n\nThe client can reopen the stream by sending an audio message.\n */\n  audioStreamEnd?: boolean;\n  /** The realtime video input stream. */\n  video?: BlobImageUnion;\n  /** The realtime text input stream. */\n  text?: string;\n  /** Marks the start of user activity. */\n  activityStart?: ActivityStart;\n  /** Marks the end of user activity. */\n  activityEnd?: ActivityEnd;\n}\n\n/** Parameters for sending tool responses to the live API. */\nexport class LiveSendToolResponseParameters {\n  /** Tool responses to send to the session. */\n  functionResponses: FunctionResponse[] | FunctionResponse = [];\n}\n\n/** Message to be sent by the system when connecting to the API. */\nexport declare interface LiveMusicClientSetup {\n  /** The model's resource name. Format: `models/{model}`. */\n  model?: string;\n}\n\n/** Maps a prompt to a relative weight to steer music generation. */\nexport declare interface WeightedPrompt {\n  /** Text prompt. */\n  text?: string;\n  /** Weight of the prompt. The weight is used to control the relative\n      importance of the prompt. Higher weights are more important than lower\n      weights.\n\n      Weight must not be 0. Weights of all weighted_prompts in this\n      LiveMusicClientContent message will be normalized. */\n  weight?: number;\n}\n\n/** User input to start or steer the music. */\nexport declare interface LiveMusicClientContent {\n  /** Weighted prompts as the model input. */\n  weightedPrompts?: WeightedPrompt[];\n}\n\n/** Configuration for music generation. */\nexport declare interface LiveMusicGenerationConfig {\n  /** Controls the variance in audio generation. Higher values produce\n      higher variance. Range is [0.0, 3.0]. */\n  temperature?: number;\n  /** Controls how the model selects tokens for output. Samples the topK\n      tokens with the highest probabilities. Range is [1, 1000]. */\n  topK?: number;\n  /** Seeds audio generation. If not set, the request uses a randomly\n      generated seed. */\n  seed?: number;\n  /** Controls how closely the model follows prompts.\n      Higher guidance follows more closely, but will make transitions more\n      abrupt. Range is [0.0, 6.0]. */\n  guidance?: number;\n  /** Beats per minute. Range is [60, 200]. */\n  bpm?: number;\n  /** Density of sounds. Range is [0.0, 1.0]. */\n  density?: number;\n  /** Brightness of the music. Range is [0.0, 1.0]. */\n  brightness?: number;\n  /** Scale of the generated music. */\n  scale?: Scale;\n  /** Whether the audio output should contain bass. */\n  muteBass?: boolean;\n  /** Whether the audio output should contain drums. */\n  muteDrums?: boolean;\n  /** Whether the audio output should contain only bass and drums. */\n  onlyBassAndDrums?: boolean;\n  /** The mode of music generation. Default mode is QUALITY. */\n  musicGenerationMode?: MusicGenerationMode;\n}\n\n/** Messages sent by the client in the LiveMusicClientMessage call. */\nexport declare interface LiveMusicClientMessage {\n  /** Message to be sent in the first (and only in the first) `LiveMusicClientMessage`.\n      Clients should wait for a `LiveMusicSetupComplete` message before\n      sending any additional messages. */\n  setup?: LiveMusicClientSetup;\n  /** User input to influence music generation. */\n  clientContent?: LiveMusicClientContent;\n  /** Configuration for music generation. */\n  musicGenerationConfig?: LiveMusicGenerationConfig;\n  /** Playback control signal for the music generation. */\n  playbackControl?: LiveMusicPlaybackControl;\n}\n\n/** Sent in response to a `LiveMusicClientSetup` message from the client. */\nexport declare interface LiveMusicServerSetupComplete {}\n\n/** Prompts and config used for generating this audio chunk. */\nexport declare interface LiveMusicSourceMetadata {\n  /** Weighted prompts for generating this audio chunk. */\n  clientContent?: LiveMusicClientContent;\n  /** Music generation config for generating this audio chunk. */\n  musicGenerationConfig?: LiveMusicGenerationConfig;\n}\n\n/** Representation of an audio chunk. */\nexport declare interface AudioChunk {\n  /** Raw bytes of audio data.\n   * @remarks Encoded as base64 string. */\n  data?: string;\n  /** MIME type of the audio chunk. */\n  mimeType?: string;\n  /** Prompts and config used for generating this audio chunk. */\n  sourceMetadata?: LiveMusicSourceMetadata;\n}\n\n/** Server update generated by the model in response to client messages.\n\nContent is generated as quickly as possible, and not in real time.\nClients may choose to buffer and play it out in real time. */\nexport declare interface LiveMusicServerContent {\n  /** The audio chunks that the model has generated. */\n  audioChunks?: AudioChunk[];\n}\n\n/** A prompt that was filtered with the reason. */\nexport declare interface LiveMusicFilteredPrompt {\n  /** The text prompt that was filtered. */\n  text?: string;\n  /** The reason the prompt was filtered. */\n  filteredReason?: string;\n}\n\n/** Response message for the LiveMusicClientMessage call. */\nexport class LiveMusicServerMessage {\n  /** Message sent in response to a `LiveMusicClientSetup` message from the client.\n      Clients should wait for this message before sending any additional messages. */\n  setupComplete?: LiveMusicServerSetupComplete;\n  /** Content generated by the model in response to client messages. */\n  serverContent?: LiveMusicServerContent;\n  /** A prompt that was filtered with the reason. */\n  filteredPrompt?: LiveMusicFilteredPrompt;\n  /**\n   * Returns the first audio chunk from the server content, if present.\n   *\n   * @remarks\n   * If there are no audio chunks in the response, undefined will be returned.\n   */\n  get audioChunk(): AudioChunk | undefined {\n    if (\n      this.serverContent &&\n      this.serverContent.audioChunks &&\n      this.serverContent.audioChunks.length > 0\n    ) {\n      return this.serverContent.audioChunks[0];\n    }\n    return undefined;\n  }\n}\n\n/** Callbacks for the realtime music API. */\nexport interface LiveMusicCallbacks {\n  /**\n   * Called when a message is received from the server.\n   */\n  onmessage: (e: LiveMusicServerMessage) => void;\n  /**\n   * Called when an error occurs.\n   */\n  onerror?: ((e: ErrorEvent) => void) | null;\n  /**\n   * Called when the websocket connection is closed.\n   */\n  onclose?: ((e: CloseEvent) => void) | null;\n}\n\n/** Parameters for the upload file method. */\nexport interface UploadFileParameters {\n  /** The string path to the file to be uploaded or a Blob object. */\n  file: string | globalThis.Blob;\n  /** Configuration that contains optional parameters. */\n  config?: UploadFileConfig;\n}\n\n/** Parameters for the upload file to file search store method. */\nexport interface UploadToFileSearchStoreParameters {\n  /** The name of the file search store to upload. */\n  fileSearchStoreName: string;\n  /** The string path to the file to be uploaded or a Blob object. */\n  file: string | globalThis.Blob;\n  /** Configuration that contains optional parameters. */\n  config?: UploadToFileSearchStoreConfig;\n}\n\n/**\n * CallableTool is an invokable tool that can be executed with external\n * application (e.g., via Model Context Protocol) or local functions with\n * function calling.\n */\nexport interface CallableTool {\n  /**\n   * Returns tool that can be called by Gemini.\n   */\n  tool(): Promise<Tool>;\n  /**\n   * Executes the callable tool with the given function call arguments and\n   * returns the response parts from the tool execution.\n   */\n  callTool(functionCalls: FunctionCall[]): Promise<Part[]>;\n}\n\n/**\n * CallableToolConfig is the configuration for a callable tool.\n */\nexport interface CallableToolConfig {\n  /**\n   * Specifies the model's behavior after invoking this tool.\n   */\n  behavior?: Behavior;\n  /**\n   * Timeout for remote calls in milliseconds. Note this timeout applies only to\n   * tool remote calls, and not making HTTP requests to the API. */\n  timeout?: number;\n}\n\n/** Parameters for connecting to the live API. */\nexport declare interface LiveMusicConnectParameters {\n  /** The model's resource name. */\n  model: string;\n  /** Callbacks invoked on server events. */\n  callbacks: LiveMusicCallbacks;\n}\n\n/** Parameters for setting config for the live music API. */\nexport declare interface LiveMusicSetConfigParameters {\n  /** Configuration for music generation. */\n  musicGenerationConfig: LiveMusicGenerationConfig;\n}\n\n/** Parameters for setting weighted prompts for the live music API. */\nexport declare interface LiveMusicSetWeightedPromptsParameters {\n  /** A map of text prompts to weights to use for the generation request. */\n  weightedPrompts: WeightedPrompt[];\n}\n\n/** Config for auth_tokens.create parameters. */\nexport declare interface AuthToken {\n  /** The name of the auth token. */\n  name?: string;\n}\n\n/** Config for LiveConnectConstraints for Auth Token creation. */\nexport declare interface LiveConnectConstraints {\n  /** ID of the model to configure in the ephemeral token for Live API.\n      For a list of models, see `Gemini models\n      <https://ai.google.dev/gemini-api/docs/models>`. */\n  model?: string;\n  /** Configuration specific to Live API connections created using this token. */\n  config?: LiveConnectConfig;\n}\n\n/** Optional parameters. */\nexport declare interface CreateAuthTokenConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n  /** An optional time after which, when using the resulting token,\n      messages in Live API sessions will be rejected. (Gemini may\n      preemptively close the session after this time.)\n\n      If not set then this defaults to 30 minutes in the future. If set, this\n      value must be less than 20 hours in the future. */\n  expireTime?: string;\n  /** The time after which new Live API sessions using the token\n      resulting from this request will be rejected.\n\n      If not set this defaults to 60 seconds in the future. If set, this value\n      must be less than 20 hours in the future. */\n  newSessionExpireTime?: string;\n  /** The number of times the token can be used. If this value is zero\n      then no limit is applied. Default is 1. Resuming a Live API session does\n      not count as a use. */\n  uses?: number;\n  /** Configuration specific to Live API connections created using this token. */\n  liveConnectConstraints?: LiveConnectConstraints;\n  /** Additional fields to lock in the effective LiveConnectParameters. */\n  lockAdditionalFields?: string[];\n}\n\n/** Config for auth_tokens.create parameters. */\nexport declare interface CreateAuthTokenParameters {\n  /** Optional parameters for the request. */\n  config?: CreateAuthTokenConfig;\n}\n\n/** Parameters for the get method of the operations module. */\nexport declare interface OperationGetParameters<T, U extends Operation<T>> {\n  /** Used to override the default configuration. */\n  config?: GetOperationConfig;\n  /** The operation to be retrieved. */\n  operation: U;\n}\n\n/** Local tokenizer count tokens result. */\nexport declare interface CountTokensResult {\n  /** The total number of tokens. */\n  totalTokens?: number;\n}\n\n/** Local tokenizer compute tokens result. */\nexport declare interface ComputeTokensResult {\n  /** Lists of tokens info from the input. */\n  tokensInfo?: TokensInfo[];\n}\n\n/** Fine-tuning job creation parameters - optional fields. */\nexport declare interface CreateTuningJobParameters {\n  /** The base model that is being tuned, e.g., \"gemini-2.5-flash\". */\n  baseModel: string;\n  /** Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file. */\n  trainingDataset: TuningDataset;\n  /** Configuration for the tuning job. */\n  config?: CreateTuningJobConfig;\n}\n\n/** Parameters for the embed_content method. */\nexport declare interface EmbedContentParameters {\n  /** ID of the model to use. For a list of models, see `Google models\n    <https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models>`_. */\n  model: string;\n  /** The content to embed. Only the `parts.text` fields will be counted.\n   */\n  contents: ContentListUnion;\n  /** Configuration that contains optional parameters.\n   */\n  config?: EmbedContentConfig;\n}\n\n/** The response when long-running operation for uploading a file to a FileSearchStore complete. */\nexport class UploadToFileSearchStoreResponse {\n  /** Used to retain the full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n  /** The name of the FileSearchStore containing Documents. */\n  parent?: string;\n  /** The identifier for the Document imported. */\n  documentName?: string;\n}\n\n/** Long-running operation for uploading a file to a FileSearchStore. */\nexport class UploadToFileSearchStoreOperation\n  implements Operation<UploadToFileSearchStoreResponse>\n{\n  /** The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. */\n  name?: string;\n  /** Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata.  Any method that returns a long-running operation should document the metadata type, if any. */\n  metadata?: Record<string, unknown>;\n  /** If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. */\n  done?: boolean;\n  /** The error result of the operation in case of failure or cancellation. */\n  error?: Record<string, unknown>;\n  /** The result of the UploadToFileSearchStore operation, available when the operation is done. */\n  response?: UploadToFileSearchStoreResponse;\n\n  /**\n   * Instantiates an Operation of the same type as the one being called with the fields set from the API response.\n   */\n  _fromAPIResponse({\n    apiResponse,\n    _isVertexAI,\n  }: OperationFromAPIResponseParameters): Operation<UploadToFileSearchStoreResponse> {\n    const operation = new UploadToFileSearchStoreOperation();\n\n    const op = apiResponse as unknown as UploadToFileSearchStoreOperation;\n    const response = uploadToFileSearchStoreOperationFromMldev(op);\n    Object.assign(operation, response);\n    return operation;\n  }\n  /** The full HTTP response. */\n  sdkHttpResponse?: HttpResponse;\n}\n\n/** Used to override the default configuration. */\nexport declare interface DownloadMediaConfig {\n  /** Used to override HTTP request options. */\n  httpOptions?: HttpOptions;\n  /** Abort signal which can be used to cancel the request.\n\n  NOTE: AbortSignal is a client-only operation. Using it to cancel an\n  operation will not cancel the request in the service. You will still\n  be charged usage for any applicable operations.\n       */\n  abortSignal?: AbortSignal;\n}\n\nexport type BlobImageUnion = Blob;\n\nexport type PartUnion = Part | string;\n\nexport type PartListUnion = PartUnion[] | PartUnion;\n\nexport type ContentUnion = Content | PartUnion[] | PartUnion;\n\nexport type ContentListUnion = Content | Content[] | PartUnion | PartUnion[];\n\nexport type SchemaUnion = Schema | unknown;\n\nexport type SpeechConfigUnion = SpeechConfig | string;\n\nexport type ToolUnion = Tool | CallableTool;\n\nexport type ToolListUnion = ToolUnion[];\n\nexport type DownloadableFileUnion = string | File | GeneratedVideo | Video;\n\nexport type BatchJobSourceUnion = BatchJobSource | InlinedRequest[] | string;\n\nexport type BatchJobDestinationUnion = BatchJobDestination | string;\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport type {Tool as McpTool} from '@modelcontextprotocol/sdk/types';\n\nimport {ApiClient} from './_api_client.js';\nimport * as baseTransformers from './_base_transformers.js';\nimport * as types from './types.js';\n\nexport function tModel(apiClient: ApiClient, model: string | unknown): string {\n  if (!model || typeof model !== 'string') {\n    throw new Error('model is required and must be a string');\n  }\n  if (model.includes('..') || model.includes('?') || model.includes('&')) {\n    throw new Error('invalid model parameter');\n  }\n\n  if (apiClient.isVertexAI()) {\n    if (\n      model.startsWith('publishers/') ||\n      model.startsWith('projects/') ||\n      model.startsWith('models/')\n    ) {\n      return model;\n    } else if (model.indexOf('/') >= 0) {\n      const parts = model.split('/', 2);\n      return `publishers/${parts[0]}/models/${parts[1]}`;\n    } else {\n      return `publishers/google/models/${model}`;\n    }\n  } else {\n    if (model.startsWith('models/') || model.startsWith('tunedModels/')) {\n      return model;\n    } else {\n      return `models/${model}`;\n    }\n  }\n}\n\nexport function tCachesModel(\n  apiClient: ApiClient,\n  model: string | unknown,\n): string {\n  const transformedModel = tModel(apiClient, model as string);\n  if (!transformedModel) {\n    return '';\n  }\n\n  if (transformedModel.startsWith('publishers/') && apiClient.isVertexAI()) {\n    // vertex caches only support model name start with projects.\n    return `projects/${apiClient.getProject()}/locations/${apiClient.getLocation()}/${transformedModel}`;\n  } else if (transformedModel.startsWith('models/') && apiClient.isVertexAI()) {\n    return `projects/${apiClient.getProject()}/locations/${apiClient.getLocation()}/publishers/google/${transformedModel}`;\n  } else {\n    return transformedModel;\n  }\n}\n\nexport function tBlobs(\n  blobs: types.BlobImageUnion | types.BlobImageUnion[],\n): types.Blob[] {\n  if (Array.isArray(blobs)) {\n    return blobs.map((blob) => tBlob(blob));\n  } else {\n    return [tBlob(blobs)];\n  }\n}\n\nexport function tBlob(blob: types.BlobImageUnion): types.Blob {\n  if (typeof blob === 'object' && blob !== null) {\n    return blob;\n  }\n\n  throw new Error(\n    `Could not parse input as Blob. Unsupported blob type: ${typeof blob}`,\n  );\n}\n\nexport function tImageBlob(blob: types.BlobImageUnion): types.Blob {\n  const transformedBlob = tBlob(blob);\n  if (\n    transformedBlob.mimeType &&\n    transformedBlob.mimeType.startsWith('image/')\n  ) {\n    return transformedBlob;\n  }\n  throw new Error(`Unsupported mime type: ${transformedBlob.mimeType!}`);\n}\n\nexport function tAudioBlob(blob: types.Blob): types.Blob {\n  const transformedBlob = tBlob(blob);\n  if (\n    transformedBlob.mimeType &&\n    transformedBlob.mimeType.startsWith('audio/')\n  ) {\n    return transformedBlob;\n  }\n  throw new Error(`Unsupported mime type: ${transformedBlob.mimeType!}`);\n}\n\nexport function tPart(origin?: types.PartUnion | null): types.Part {\n  if (origin === null || origin === undefined) {\n    throw new Error('PartUnion is required');\n  }\n  if (typeof origin === 'object') {\n    return origin;\n  }\n  if (typeof origin === 'string') {\n    return {text: origin};\n  }\n  throw new Error(`Unsupported part type: ${typeof origin}`);\n}\n\nexport function tParts(origin?: types.PartListUnion | null): types.Part[] {\n  if (\n    origin === null ||\n    origin === undefined ||\n    (Array.isArray(origin) && origin.length === 0)\n  ) {\n    throw new Error('PartListUnion is required');\n  }\n  if (Array.isArray(origin)) {\n    return origin.map((item) => tPart(item as types.PartUnion)!);\n  }\n  return [tPart(origin)!];\n}\n\nfunction _isContent(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'parts' in origin &&\n    Array.isArray(origin.parts)\n  );\n}\n\nfunction _isFunctionCallPart(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'functionCall' in origin\n  );\n}\n\nfunction _isFunctionResponsePart(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'functionResponse' in origin\n  );\n}\n\nexport function tContent(origin?: types.ContentUnion): types.Content {\n  if (origin === null || origin === undefined) {\n    throw new Error('ContentUnion is required');\n  }\n  if (_isContent(origin)) {\n    // _isContent is a utility function that checks if the\n    // origin is a Content.\n    return origin as types.Content;\n  }\n\n  return {\n    role: 'user',\n    parts: tParts(origin as types.PartListUnion)!,\n  };\n}\n\nexport function tContentsForEmbed(\n  apiClient: ApiClient,\n  origin: types.ContentListUnion,\n): types.ContentUnion[] {\n  if (!origin) {\n    return [];\n  }\n  if (apiClient.isVertexAI() && Array.isArray(origin)) {\n    return origin.flatMap((item) => {\n      const content = tContent(item as types.ContentUnion);\n      if (\n        content.parts &&\n        content.parts.length > 0 &&\n        content.parts[0].text !== undefined\n      ) {\n        return [content.parts[0].text];\n      }\n      return [];\n    });\n  } else if (apiClient.isVertexAI()) {\n    const content = tContent(origin as types.ContentUnion);\n    if (\n      content.parts &&\n      content.parts.length > 0 &&\n      content.parts[0].text !== undefined\n    ) {\n      return [content.parts[0].text];\n    }\n    return [];\n  }\n  if (Array.isArray(origin)) {\n    return origin.map((item) => tContent(item as types.ContentUnion)!);\n  }\n  return [tContent(origin as types.ContentUnion)!];\n}\n\nexport function tContents(origin?: types.ContentListUnion): types.Content[] {\n  if (\n    origin === null ||\n    origin === undefined ||\n    (Array.isArray(origin) && origin.length === 0)\n  ) {\n    throw new Error('contents are required');\n  }\n  if (!Array.isArray(origin)) {\n    // If it's not an array, it's a single content or a single PartUnion.\n    if (_isFunctionCallPart(origin) || _isFunctionResponsePart(origin)) {\n      throw new Error(\n        'To specify functionCall or functionResponse parts, please wrap them in a Content object, specifying the role for them',\n      );\n    }\n    return [tContent(origin as types.ContentUnion)];\n  }\n\n  const result: types.Content[] = [];\n  const accumulatedParts: types.PartUnion[] = [];\n  const isContentArray = _isContent(origin[0]);\n\n  for (const item of origin) {\n    const isContent = _isContent(item);\n\n    if (isContent != isContentArray) {\n      throw new Error(\n        'Mixing Content and Parts is not supported, please group the parts into a the appropriate Content objects and specify the roles for them',\n      );\n    }\n\n    if (isContent) {\n      // `isContent` contains the result of _isContent, which is a utility\n      // function that checks if the item is a Content.\n      result.push(item as types.Content);\n    } else if (_isFunctionCallPart(item) || _isFunctionResponsePart(item)) {\n      throw new Error(\n        'To specify functionCall or functionResponse parts, please wrap them, and any other parts, in Content objects as appropriate, specifying the role for them',\n      );\n    } else {\n      accumulatedParts.push(item as types.PartUnion);\n    }\n  }\n\n  if (!isContentArray) {\n    result.push({role: 'user', parts: tParts(accumulatedParts)});\n  }\n  return result;\n}\n\n/*\nTransform the type field from an array of types to an array of anyOf fields.\nExample:\n  {type: ['STRING', 'NUMBER']}\nwill be transformed to\n  {anyOf: [{type: 'STRING'}, {type: 'NUMBER'}]}\n*/\nfunction flattenTypeArrayToAnyOf(\n  typeList: string[],\n  resultingSchema: types.Schema,\n) {\n  if (typeList.includes('null')) {\n    resultingSchema['nullable'] = true;\n  }\n  const listWithoutNull = typeList.filter((type) => type !== 'null');\n\n  if (listWithoutNull.length === 1) {\n    resultingSchema['type'] = Object.values(types.Type).includes(\n      listWithoutNull[0].toUpperCase() as types.Type,\n    )\n      ? (listWithoutNull[0].toUpperCase() as types.Type)\n      : types.Type.TYPE_UNSPECIFIED;\n  } else {\n    resultingSchema['anyOf'] = [];\n    for (const i of listWithoutNull) {\n      resultingSchema['anyOf'].push({\n        'type': Object.values(types.Type).includes(\n          i.toUpperCase() as types.Type,\n        )\n          ? (i.toUpperCase() as types.Type)\n          : types.Type.TYPE_UNSPECIFIED,\n      });\n    }\n  }\n}\n\nexport function processJsonSchema(\n  _jsonSchema: types.Schema | Record<string, unknown>,\n): types.Schema {\n  const genAISchema: types.Schema = {};\n  const schemaFieldNames = ['items'];\n  const listSchemaFieldNames = ['anyOf'];\n  const dictSchemaFieldNames = ['properties'];\n\n  if (_jsonSchema['type'] && _jsonSchema['anyOf']) {\n    throw new Error('type and anyOf cannot be both populated.');\n  }\n\n  /*\n  This is to handle the nullable array or object. The _jsonSchema will\n  be in the format of {anyOf: [{type: 'null'}, {type: 'object'}]}. The\n  logic is to check if anyOf has 2 elements and one of the element is null,\n  if so, the anyOf field is unnecessary, so we need to get rid of the anyOf\n  field and make the schema nullable. Then use the other element as the new\n  _jsonSchema for processing. This is because the backend doesn't have a null\n  type.\n  This has to be checked before we process any other fields.\n  For example:\n    const objectNullable = z.object({\n      nullableArray: z.array(z.string()).nullable(),\n    });\n  Will have the raw _jsonSchema as:\n  {\n    type: 'OBJECT',\n    properties: {\n        nullableArray: {\n           anyOf: [\n              {type: 'null'},\n              {\n                type: 'array',\n                items: {type: 'string'},\n              },\n            ],\n        }\n    },\n    required: [ 'nullableArray' ],\n  }\n  Will result in following schema compatible with Gemini API:\n    {\n      type: 'OBJECT',\n      properties: {\n         nullableArray: {\n            nullable: true,\n            type: 'ARRAY',\n            items: {type: 'string'},\n         }\n      },\n      required: [ 'nullableArray' ],\n    }\n  */\n  const incomingAnyOf = _jsonSchema['anyOf'] as Record<string, unknown>[];\n  if (incomingAnyOf != null && incomingAnyOf.length == 2) {\n    if (incomingAnyOf[0]!['type'] === 'null') {\n      genAISchema['nullable'] = true;\n      _jsonSchema = incomingAnyOf![1];\n    } else if (incomingAnyOf[1]!['type'] === 'null') {\n      genAISchema['nullable'] = true;\n      _jsonSchema = incomingAnyOf![0];\n    }\n  }\n\n  if (_jsonSchema['type'] instanceof Array) {\n    flattenTypeArrayToAnyOf(_jsonSchema['type'], genAISchema);\n  }\n\n  for (const [fieldName, fieldValue] of Object.entries(_jsonSchema)) {\n    // Skip if the fieldvalue is undefined or null.\n    if (fieldValue == null) {\n      continue;\n    }\n\n    if (fieldName == 'type') {\n      if (fieldValue === 'null') {\n        throw new Error(\n          'type: null can not be the only possible type for the field.',\n        );\n      }\n      if (fieldValue instanceof Array) {\n        // we have already handled the type field with array of types in the\n        // beginning of this function.\n        continue;\n      }\n      genAISchema['type'] = Object.values(types.Type).includes(\n        fieldValue.toUpperCase() as types.Type,\n      )\n        ? fieldValue.toUpperCase()\n        : types.Type.TYPE_UNSPECIFIED;\n    } else if (schemaFieldNames.includes(fieldName)) {\n      (genAISchema as Record<string, unknown>)[fieldName] =\n        processJsonSchema(fieldValue);\n    } else if (listSchemaFieldNames.includes(fieldName)) {\n      const listSchemaFieldValue: Array<types.Schema> = [];\n      for (const item of fieldValue) {\n        if (item['type'] == 'null') {\n          genAISchema['nullable'] = true;\n          continue;\n        }\n        listSchemaFieldValue.push(\n          processJsonSchema(item as Record<string, unknown>),\n        );\n      }\n      (genAISchema as Record<string, unknown>)[fieldName] =\n        listSchemaFieldValue;\n    } else if (dictSchemaFieldNames.includes(fieldName)) {\n      const dictSchemaFieldValue: Record<string, types.Schema> = {};\n      for (const [key, value] of Object.entries(\n        fieldValue as Record<string, unknown>,\n      )) {\n        dictSchemaFieldValue[key] = processJsonSchema(\n          value as Record<string, unknown>,\n        );\n      }\n      (genAISchema as Record<string, unknown>)[fieldName] =\n        dictSchemaFieldValue;\n    } else {\n      // additionalProperties is not included in JSONSchema, skipping it.\n      if (fieldName === 'additionalProperties') {\n        continue;\n      }\n      (genAISchema as Record<string, unknown>)[fieldName] = fieldValue;\n    }\n  }\n  return genAISchema;\n}\n\n// we take the unknown in the schema field because we want enable user to pass\n// the output of major schema declaration tools without casting. Tools such as\n// zodToJsonSchema, typebox, zodToJsonSchema function can return JsonSchema7Type\n// or object, see details in\n// https://github.com/StefanTerdell/zod-to-json-schema/blob/70525efe555cd226691e093d171370a3b10921d1/src/zodToJsonSchema.ts#L7\n// typebox can return unknown, see details in\n// https://github.com/sinclairzx81/typebox/blob/5a5431439f7d5ca6b494d0d18fbfd7b1a356d67c/src/type/create/type.ts#L35\n// Note: proper json schemas with the $schema field set never arrive to this\n// transformer. Schemas with $schema are routed to the equivalent API json\n// schema field.\nexport function tSchema(schema: types.Schema | unknown): types.Schema {\n  return processJsonSchema(schema as types.Schema);\n}\n\nexport function tSpeechConfig(\n  speechConfig: types.SpeechConfigUnion,\n): types.SpeechConfig {\n  if (typeof speechConfig === 'object') {\n    return speechConfig;\n  } else if (typeof speechConfig === 'string') {\n    return {\n      voiceConfig: {\n        prebuiltVoiceConfig: {\n          voiceName: speechConfig,\n        },\n      },\n    };\n  } else {\n    throw new Error(`Unsupported speechConfig type: ${typeof speechConfig}`);\n  }\n}\n\nexport function tLiveSpeechConfig(\n  speechConfig: types.SpeechConfig | object,\n): types.SpeechConfig {\n  if ('multiSpeakerVoiceConfig' in speechConfig) {\n    throw new Error(\n      'multiSpeakerVoiceConfig is not supported in the live API.',\n    );\n  }\n  return speechConfig;\n}\n\nexport function tTool(tool: types.Tool): types.Tool {\n  if (tool.functionDeclarations) {\n    for (const functionDeclaration of tool.functionDeclarations) {\n      if (functionDeclaration.parameters) {\n        if (!Object.keys(functionDeclaration.parameters).includes('$schema')) {\n          functionDeclaration.parameters = processJsonSchema(\n            functionDeclaration.parameters,\n          );\n        } else {\n          if (!functionDeclaration.parametersJsonSchema) {\n            functionDeclaration.parametersJsonSchema =\n              functionDeclaration.parameters;\n            delete functionDeclaration.parameters;\n          }\n        }\n      }\n      if (functionDeclaration.response) {\n        if (!Object.keys(functionDeclaration.response).includes('$schema')) {\n          functionDeclaration.response = processJsonSchema(\n            functionDeclaration.response,\n          );\n        } else {\n          if (!functionDeclaration.responseJsonSchema) {\n            functionDeclaration.responseJsonSchema =\n              functionDeclaration.response;\n            delete functionDeclaration.response;\n          }\n        }\n      }\n    }\n  }\n  return tool;\n}\n\nexport function tTools(tools: types.ToolListUnion | unknown): types.Tool[] {\n  // Check if the incoming type is defined.\n  if (tools === undefined || tools === null) {\n    throw new Error('tools is required');\n  }\n  if (!Array.isArray(tools)) {\n    throw new Error('tools is required and must be an array of Tools');\n  }\n  const result: types.Tool[] = [];\n  for (const tool of tools) {\n    result.push(tool as types.Tool);\n  }\n  return result;\n}\n\n/**\n * Prepends resource name with project, location, resource_prefix if needed.\n *\n * @param client The API client.\n * @param resourceName The resource name.\n * @param resourcePrefix The resource prefix.\n * @param splitsAfterPrefix The number of splits after the prefix.\n * @returns The completed resource name.\n *\n * Examples:\n *\n * ```\n * resource_name = '123'\n * resource_prefix = 'cachedContents'\n * splits_after_prefix = 1\n * client.vertexai = True\n * client.project = 'bar'\n * client.location = 'us-west1'\n * _resource_name(client, resource_name, resource_prefix, splits_after_prefix)\n * returns: 'projects/bar/locations/us-west1/cachedContents/123'\n * ```\n *\n * ```\n * resource_name = 'projects/foo/locations/us-central1/cachedContents/123'\n * resource_prefix = 'cachedContents'\n * splits_after_prefix = 1\n * client.vertexai = True\n * client.project = 'bar'\n * client.location = 'us-west1'\n * _resource_name(client, resource_name, resource_prefix, splits_after_prefix)\n * returns: 'projects/foo/locations/us-central1/cachedContents/123'\n * ```\n *\n * ```\n * resource_name = '123'\n * resource_prefix = 'cachedContents'\n * splits_after_prefix = 1\n * client.vertexai = False\n * _resource_name(client, resource_name, resource_prefix, splits_after_prefix)\n * returns 'cachedContents/123'\n * ```\n *\n * ```\n * resource_name = 'some/wrong/cachedContents/resource/name/123'\n * resource_prefix = 'cachedContents'\n * splits_after_prefix = 1\n * client.vertexai = False\n * # client.vertexai = True\n * _resource_name(client, resource_name, resource_prefix, splits_after_prefix)\n * -> 'some/wrong/resource/name/123'\n * ```\n */\nfunction resourceName(\n  client: ApiClient,\n  resourceName: string,\n  resourcePrefix: string,\n  splitsAfterPrefix: number = 1,\n): string {\n  const shouldAppendPrefix =\n    !resourceName.startsWith(`${resourcePrefix}/`) &&\n    resourceName.split('/').length === splitsAfterPrefix;\n  if (client.isVertexAI()) {\n    if (resourceName.startsWith('projects/')) {\n      return resourceName;\n    } else if (resourceName.startsWith('locations/')) {\n      return `projects/${client.getProject()}/${resourceName}`;\n    } else if (resourceName.startsWith(`${resourcePrefix}/`)) {\n      return `projects/${client.getProject()}/locations/${client.getLocation()}/${resourceName}`;\n    } else if (shouldAppendPrefix) {\n      return `projects/${client.getProject()}/locations/${client.getLocation()}/${resourcePrefix}/${resourceName}`;\n    } else {\n      return resourceName;\n    }\n  }\n  if (shouldAppendPrefix) {\n    return `${resourcePrefix}/${resourceName}`;\n  }\n  return resourceName;\n}\n\nexport function tCachedContentName(\n  apiClient: ApiClient,\n  name: string | unknown,\n): string {\n  if (typeof name !== 'string') {\n    throw new Error('name must be a string');\n  }\n  return resourceName(apiClient, name, 'cachedContents');\n}\n\nexport function tTuningJobStatus(status: string | unknown): string {\n  switch (status) {\n    case 'STATE_UNSPECIFIED':\n      return 'JOB_STATE_UNSPECIFIED';\n    case 'CREATING':\n      return 'JOB_STATE_RUNNING';\n    case 'ACTIVE':\n      return 'JOB_STATE_SUCCEEDED';\n    case 'FAILED':\n      return 'JOB_STATE_FAILED';\n    default:\n      return status as string;\n  }\n}\n\nexport function tBytes(fromImageBytes: string | unknown): string {\n  return baseTransformers.tBytes(fromImageBytes);\n}\n\nfunction _isFile(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'name' in origin\n  );\n}\n\nexport function isGeneratedVideo(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'video' in origin\n  );\n}\n\nexport function isVideo(origin: unknown): boolean {\n  return (\n    origin !== null &&\n    origin !== undefined &&\n    typeof origin === 'object' &&\n    'uri' in origin\n  );\n}\n\nexport function tFileName(\n  fromName: string | types.File | types.GeneratedVideo | types.Video,\n): string | undefined {\n  let name: string | undefined;\n\n  if (_isFile(fromName)) {\n    name = (fromName as types.File).name;\n  }\n  if (isVideo(fromName)) {\n    name = (fromName as types.Video).uri;\n    if (name === undefined) {\n      return undefined;\n    }\n  }\n  if (isGeneratedVideo(fromName)) {\n    name = (fromName as types.GeneratedVideo).video?.uri;\n    if (name === undefined) {\n      return undefined;\n    }\n  }\n  if (typeof fromName === 'string') {\n    name = fromName;\n  }\n\n  if (name === undefined) {\n    throw new Error('Could not extract file name from the provided input.');\n  }\n\n  if (name.startsWith('https://')) {\n    const suffix = name.split('files/')[1];\n    const match = suffix.match(/[a-z0-9]+/);\n    if (match === null) {\n      throw new Error(`Could not extract file name from URI ${name}`);\n    }\n    name = match[0];\n  } else if (name.startsWith('files/')) {\n    name = name.split('files/')[1];\n  }\n  return name;\n}\n\nexport function tModelsUrl(\n  apiClient: ApiClient,\n  baseModels: boolean | unknown,\n): string {\n  let res: string;\n  if (apiClient.isVertexAI()) {\n    res = baseModels ? 'publishers/google/models' : 'models';\n  } else {\n    res = baseModels ? 'models' : 'tunedModels';\n  }\n  return res;\n}\n\nexport function tExtractModels(response: unknown): Record<string, unknown>[] {\n  for (const key of ['models', 'tunedModels', 'publisherModels']) {\n    if (hasField(response, key)) {\n      return (response as Record<string, unknown>)[key] as Record<\n        string,\n        unknown\n      >[];\n    }\n  }\n  return [];\n}\n\nfunction hasField(data: unknown, fieldName: string): boolean {\n  return data !== null && typeof data === 'object' && fieldName in data;\n}\n\nexport function mcpToGeminiTool(\n  mcpTool: McpTool,\n  config: types.CallableToolConfig = {},\n): types.Tool {\n  const mcpToolSchema = mcpTool as Record<string, unknown>;\n  const functionDeclaration: Record<string, unknown> = {\n    name: mcpToolSchema['name'],\n    description: mcpToolSchema['description'],\n    parametersJsonSchema: mcpToolSchema['inputSchema'],\n  };\n  if (mcpToolSchema['outputSchema']) {\n    functionDeclaration['responseJsonSchema'] = mcpToolSchema['outputSchema'];\n  }\n  if (config.behavior) {\n    functionDeclaration['behavior'] = config.behavior;\n  }\n\n  const geminiTool = {\n    functionDeclarations: [\n      functionDeclaration as unknown as types.FunctionDeclaration,\n    ],\n  };\n\n  return geminiTool;\n}\n\n/**\n * Converts a list of MCP tools to a single Gemini tool with a list of function\n * declarations.\n */\nexport function mcpToolsToGeminiTool(\n  mcpTools: McpTool[],\n  config: types.CallableToolConfig = {},\n): types.Tool {\n  const functionDeclarations: types.FunctionDeclaration[] = [];\n  const toolNames = new Set<string>();\n  for (const mcpTool of mcpTools) {\n    const mcpToolName = mcpTool.name as string;\n    if (toolNames.has(mcpToolName)) {\n      throw new Error(\n        `Duplicate function name ${\n          mcpToolName\n        } found in MCP tools. Please ensure function names are unique.`,\n      );\n    }\n    toolNames.add(mcpToolName);\n    const geminiTool = mcpToGeminiTool(mcpTool, config);\n    if (geminiTool.functionDeclarations) {\n      functionDeclarations.push(...geminiTool.functionDeclarations);\n    }\n  }\n\n  return {functionDeclarations: functionDeclarations};\n}\n\n// Transforms a source input into a BatchJobSource object with validation.\nexport function tBatchJobSource(\n  client: ApiClient,\n  src: string | types.InlinedRequest[] | types.BatchJobSource,\n): types.BatchJobSource {\n  let sourceObj: types.BatchJobSource;\n\n  if (typeof src === 'string') {\n    if (client.isVertexAI()) {\n      if (src.startsWith('gs://')) {\n        sourceObj = {format: 'jsonl', gcsUri: [src]};\n      } else if (src.startsWith('bq://')) {\n        sourceObj = {format: 'bigquery', bigqueryUri: src};\n      } else if (\n        /^projects\\/[^/]+\\/locations\\/[^/]+\\/datasets\\/[^/]+$/.test(src)\n      ) {\n        sourceObj = {format: 'vertex-dataset', vertexDatasetName: src};\n      } else {\n        throw new Error(`Unsupported string source for Vertex AI: ${src}`);\n      }\n    } else {\n      // MLDEV\n      if (src.startsWith('files/')) {\n        sourceObj = {fileName: src}; // Default to fileName for string input\n      } else {\n        throw new Error(`Unsupported string source for Gemini API: ${src}`);\n      }\n    }\n  } else if (Array.isArray(src)) {\n    if (client.isVertexAI()) {\n      throw new Error('InlinedRequest[] is not supported in Vertex AI.');\n    }\n    sourceObj = {inlinedRequests: src};\n  } else {\n    // It's already a BatchJobSource object\n    sourceObj = src;\n  }\n\n  // Validation logic\n  const vertexSourcesCount = [\n    sourceObj.gcsUri,\n    sourceObj.bigqueryUri,\n    sourceObj.vertexDatasetName,\n  ].filter(Boolean).length;\n\n  const mldevSourcesCount = [\n    sourceObj.inlinedRequests,\n    sourceObj.fileName,\n  ].filter(Boolean).length;\n\n  if (client.isVertexAI()) {\n    if (mldevSourcesCount > 0 || vertexSourcesCount !== 1) {\n      throw new Error(\n        'Exactly one of `gcsUri`, `bigqueryUri`, or `vertexDatasetName` must be set for Vertex AI.',\n      );\n    }\n  } else {\n    // MLDEV\n    if (vertexSourcesCount > 0 || mldevSourcesCount !== 1) {\n      throw new Error(\n        'Exactly one of `inlinedRequests`, `fileName`, ' +\n          'must be set for Gemini API.',\n      );\n    }\n  }\n\n  return sourceObj;\n}\n\nexport function tEmbeddingBatchJobSource(\n  client: ApiClient,\n  src: types.EmbeddingsBatchJobSource,\n): types.EmbeddingsBatchJobSource {\n  if (client.isVertexAI()) {\n    throw new Error('Embedding batch jobs are not supported in Vertex AI.');\n  }\n\n  const sourceObj: types.EmbeddingsBatchJobSource = {...src};\n\n  const mldevSources =\n    Number(!!sourceObj.inlinedRequests) + Number(!!sourceObj.fileName);\n\n  if (mldevSources !== 1) {\n    throw new Error(\n      'Exactly one of `inlinedRequests` or `fileName` must be set for Embedding Batch Jobs in the Gemini API.',\n    );\n  }\n  return sourceObj;\n}\n\nexport function tBatchJobDestination(\n  dest: string | types.BatchJobDestination,\n): types.BatchJobDestination {\n  if (typeof dest !== 'string') {\n    return dest as types.BatchJobDestination;\n  }\n  const destString = dest as string;\n  if (destString.startsWith('gs://')) {\n    return {\n      format: 'jsonl',\n      gcsUri: destString,\n    };\n  } else if (destString.startsWith('bq://')) {\n    return {\n      format: 'bigquery',\n      bigqueryUri: destString,\n    };\n  } else {\n    throw new Error(`Unsupported destination: ${destString}`);\n  }\n}\n\nexport function tRecvBatchJobDestination(\n  dest: unknown,\n): types.BatchJobDestination {\n  // Ensure dest is a non-null object before proceeding.\n  if (typeof dest !== 'object' || dest === null) {\n    // If the input is not an object, it cannot be a valid BatchJobDestination\n    // based on the operations performed. Return it cast, or handle as an error.\n    // Casting an empty object might be a safe default.\n    return {} as types.BatchJobDestination;\n  }\n\n  // Cast to Record<string, unknown> to allow string property access.\n  const obj = dest as Record<string, unknown>;\n\n  // Safely access nested properties.\n  const inlineResponsesVal = obj['inlinedResponses'];\n  if (typeof inlineResponsesVal !== 'object' || inlineResponsesVal === null) {\n    return dest as types.BatchJobDestination;\n  }\n  const inlineResponsesObj = inlineResponsesVal as Record<string, unknown>;\n\n  const responsesArray = inlineResponsesObj['inlinedResponses'];\n  if (!Array.isArray(responsesArray) || responsesArray.length === 0) {\n    return dest as types.BatchJobDestination;\n  }\n\n  // Check if any response has the 'embedding' property.\n  let hasEmbedding = false;\n  for (const responseItem of responsesArray) {\n    if (typeof responseItem !== 'object' || responseItem === null) {\n      continue;\n    }\n    const responseItemObj = responseItem as Record<string, unknown>;\n\n    const responseVal = responseItemObj['response'];\n    if (typeof responseVal !== 'object' || responseVal === null) {\n      continue;\n    }\n    const responseObj = responseVal as Record<string, unknown>;\n\n    // Check for the existence of the 'embedding' key.\n    if (responseObj['embedding'] !== undefined) {\n      hasEmbedding = true;\n      break;\n    }\n  }\n\n  // Perform the transformation if an embedding was found.\n  if (hasEmbedding) {\n    obj['inlinedEmbedContentResponses'] = obj['inlinedResponses'];\n    delete obj['inlinedResponses'];\n  }\n\n  // Cast the (potentially) modified object to the target type.\n  return dest as types.BatchJobDestination;\n}\n\nexport function tBatchJobName(apiClient: ApiClient, name: unknown): string {\n  const nameString = name as string;\n  if (!apiClient.isVertexAI()) {\n    const mldevPattern = /batches\\/[^/]+$/;\n\n    if (mldevPattern.test(nameString)) {\n      return nameString.split('/').pop() as string;\n    } else {\n      throw new Error(`Invalid batch job name: ${nameString}.`);\n    }\n  }\n\n  const vertexPattern =\n    /^projects\\/[^/]+\\/locations\\/[^/]+\\/batchPredictionJobs\\/[^/]+$/;\n\n  if (vertexPattern.test(nameString)) {\n    return nameString.split('/').pop() as string;\n  } else if (/^\\d+$/.test(nameString)) {\n    return nameString;\n  } else {\n    throw new Error(`Invalid batch job name: ${nameString}.`);\n  }\n}\n\nexport function tJobState(state: unknown): string {\n  const stateString = state as string;\n  if (stateString === 'BATCH_STATE_UNSPECIFIED') {\n    return 'JOB_STATE_UNSPECIFIED';\n  } else if (stateString === 'BATCH_STATE_PENDING') {\n    return 'JOB_STATE_PENDING';\n  } else if (stateString === 'BATCH_STATE_RUNNING') {\n    return 'JOB_STATE_RUNNING';\n  } else if (stateString === 'BATCH_STATE_SUCCEEDED') {\n    return 'JOB_STATE_SUCCEEDED';\n  } else if (stateString === 'BATCH_STATE_FAILED') {\n    return 'JOB_STATE_FAILED';\n  } else if (stateString === 'BATCH_STATE_CANCELLED') {\n    return 'JOB_STATE_CANCELLED';\n  } else if (stateString === 'BATCH_STATE_EXPIRED') {\n    return 'JOB_STATE_EXPIRED';\n  } else {\n    return stateString;\n  }\n}\n\nexport function tIsVertexEmbedContentModel(model: string): boolean {\n  return (\n    (model.includes('gemini') && model !== 'gemini-embedding-001') ||\n    model.includes('maas')\n  );\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function authConfigToMldev(\n  fromObject: types.AuthConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromApiKey = common.getValueByPath(fromObject, ['apiKey']);\n  if (fromApiKey != null) {\n    common.setValueByPath(toObject, ['apiKey'], fromApiKey);\n  }\n\n  if (common.getValueByPath(fromObject, ['apiKeyConfig']) !== undefined) {\n    throw new Error(\n      'apiKeyConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['authType']) !== undefined) {\n    throw new Error(\n      'authType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['googleServiceAccountConfig']) !==\n    undefined\n  ) {\n    throw new Error(\n      'googleServiceAccountConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['httpBasicAuthConfig']) !== undefined\n  ) {\n    throw new Error(\n      'httpBasicAuthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oauthConfig']) !== undefined) {\n    throw new Error(\n      'oauthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oidcConfig']) !== undefined) {\n    throw new Error(\n      'oidcConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobDestinationFromMldev(\n  fromObject: types.BatchJobDestination,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFileName = common.getValueByPath(fromObject, ['responsesFile']);\n  if (fromFileName != null) {\n    common.setValueByPath(toObject, ['fileName'], fromFileName);\n  }\n\n  const fromInlinedResponses = common.getValueByPath(fromObject, [\n    'inlinedResponses',\n    'inlinedResponses',\n  ]);\n  if (fromInlinedResponses != null) {\n    let transformedList = fromInlinedResponses;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return inlinedResponseFromMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['inlinedResponses'], transformedList);\n  }\n\n  const fromInlinedEmbedContentResponses = common.getValueByPath(fromObject, [\n    'inlinedEmbedContentResponses',\n    'inlinedResponses',\n  ]);\n  if (fromInlinedEmbedContentResponses != null) {\n    let transformedList = fromInlinedEmbedContentResponses;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(\n      toObject,\n      ['inlinedEmbedContentResponses'],\n      transformedList,\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobDestinationFromVertex(\n  fromObject: types.BatchJobDestination,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFormat = common.getValueByPath(fromObject, ['predictionsFormat']);\n  if (fromFormat != null) {\n    common.setValueByPath(toObject, ['format'], fromFormat);\n  }\n\n  const fromGcsUri = common.getValueByPath(fromObject, [\n    'gcsDestination',\n    'outputUriPrefix',\n  ]);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['gcsUri'], fromGcsUri);\n  }\n\n  const fromBigqueryUri = common.getValueByPath(fromObject, [\n    'bigqueryDestination',\n    'outputUri',\n  ]);\n  if (fromBigqueryUri != null) {\n    common.setValueByPath(toObject, ['bigqueryUri'], fromBigqueryUri);\n  }\n\n  const fromVertexDataset = common.getValueByPath(fromObject, [\n    'vertexMultimodalDatasetDestination',\n  ]);\n  if (fromVertexDataset != null) {\n    common.setValueByPath(\n      toObject,\n      ['vertexDataset'],\n      vertexMultimodalDatasetDestinationFromVertex(fromVertexDataset),\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobDestinationToVertex(\n  fromObject: types.BatchJobDestination,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFormat = common.getValueByPath(fromObject, ['format']);\n  if (fromFormat != null) {\n    common.setValueByPath(toObject, ['predictionsFormat'], fromFormat);\n  }\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['gcsDestination', 'outputUriPrefix'],\n      fromGcsUri,\n    );\n  }\n\n  const fromBigqueryUri = common.getValueByPath(fromObject, ['bigqueryUri']);\n  if (fromBigqueryUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['bigqueryDestination', 'outputUri'],\n      fromBigqueryUri,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fileName']) !== undefined) {\n    throw new Error(\n      'fileName parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['inlinedResponses']) !== undefined) {\n    throw new Error(\n      'inlinedResponses parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['inlinedEmbedContentResponses']) !==\n    undefined\n  ) {\n    throw new Error(\n      'inlinedEmbedContentResponses parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromVertexDataset = common.getValueByPath(fromObject, [\n    'vertexDataset',\n  ]);\n  if (fromVertexDataset != null) {\n    common.setValueByPath(\n      toObject,\n      ['vertexMultimodalDatasetDestination'],\n      vertexMultimodalDatasetDestinationToVertex(fromVertexDataset),\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobFromMldev(\n  fromObject: types.BatchJob,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, [\n    'metadata',\n    'displayName',\n  ]);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromState = common.getValueByPath(fromObject, ['metadata', 'state']);\n  if (fromState != null) {\n    common.setValueByPath(toObject, ['state'], t.tJobState(fromState));\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, [\n    'metadata',\n    'createTime',\n  ]);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromEndTime = common.getValueByPath(fromObject, [\n    'metadata',\n    'endTime',\n  ]);\n  if (fromEndTime != null) {\n    common.setValueByPath(toObject, ['endTime'], fromEndTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, [\n    'metadata',\n    'updateTime',\n  ]);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  const fromModel = common.getValueByPath(fromObject, ['metadata', 'model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], fromModel);\n  }\n\n  const fromDest = common.getValueByPath(fromObject, ['metadata', 'output']);\n  if (fromDest != null) {\n    common.setValueByPath(\n      toObject,\n      ['dest'],\n      batchJobDestinationFromMldev(t.tRecvBatchJobDestination(fromDest)),\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobFromVertex(\n  fromObject: types.BatchJob,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromState = common.getValueByPath(fromObject, ['state']);\n  if (fromState != null) {\n    common.setValueByPath(toObject, ['state'], t.tJobState(fromState));\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromStartTime = common.getValueByPath(fromObject, ['startTime']);\n  if (fromStartTime != null) {\n    common.setValueByPath(toObject, ['startTime'], fromStartTime);\n  }\n\n  const fromEndTime = common.getValueByPath(fromObject, ['endTime']);\n  if (fromEndTime != null) {\n    common.setValueByPath(toObject, ['endTime'], fromEndTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, ['updateTime']);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], fromModel);\n  }\n\n  const fromSrc = common.getValueByPath(fromObject, ['inputConfig']);\n  if (fromSrc != null) {\n    common.setValueByPath(toObject, ['src'], batchJobSourceFromVertex(fromSrc));\n  }\n\n  const fromDest = common.getValueByPath(fromObject, ['outputConfig']);\n  if (fromDest != null) {\n    common.setValueByPath(\n      toObject,\n      ['dest'],\n      batchJobDestinationFromVertex(t.tRecvBatchJobDestination(fromDest)),\n    );\n  }\n\n  const fromCompletionStats = common.getValueByPath(fromObject, [\n    'completionStats',\n  ]);\n  if (fromCompletionStats != null) {\n    common.setValueByPath(toObject, ['completionStats'], fromCompletionStats);\n  }\n\n  const fromOutputInfo = common.getValueByPath(fromObject, ['outputInfo']);\n  if (fromOutputInfo != null) {\n    common.setValueByPath(toObject, ['outputInfo'], fromOutputInfo);\n  }\n\n  return toObject;\n}\n\nexport function batchJobSourceFromVertex(\n  fromObject: types.BatchJobSource,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFormat = common.getValueByPath(fromObject, ['instancesFormat']);\n  if (fromFormat != null) {\n    common.setValueByPath(toObject, ['format'], fromFormat);\n  }\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsSource', 'uris']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['gcsUri'], fromGcsUri);\n  }\n\n  const fromBigqueryUri = common.getValueByPath(fromObject, [\n    'bigquerySource',\n    'inputUri',\n  ]);\n  if (fromBigqueryUri != null) {\n    common.setValueByPath(toObject, ['bigqueryUri'], fromBigqueryUri);\n  }\n\n  const fromVertexDatasetName = common.getValueByPath(fromObject, [\n    'vertexMultimodalDatasetSource',\n    'datasetName',\n  ]);\n  if (fromVertexDatasetName != null) {\n    common.setValueByPath(\n      toObject,\n      ['vertexDatasetName'],\n      fromVertexDatasetName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobSourceToMldev(\n  apiClient: ApiClient,\n  fromObject: types.BatchJobSource,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['format']) !== undefined) {\n    throw new Error(\n      'format parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['gcsUri']) !== undefined) {\n    throw new Error(\n      'gcsUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['bigqueryUri']) !== undefined) {\n    throw new Error(\n      'bigqueryUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileName = common.getValueByPath(fromObject, ['fileName']);\n  if (fromFileName != null) {\n    common.setValueByPath(toObject, ['fileName'], fromFileName);\n  }\n\n  const fromInlinedRequests = common.getValueByPath(fromObject, [\n    'inlinedRequests',\n  ]);\n  if (fromInlinedRequests != null) {\n    let transformedList = fromInlinedRequests;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return inlinedRequestToMldev(apiClient, item);\n      });\n    }\n    common.setValueByPath(toObject, ['requests', 'requests'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['vertexDatasetName']) !== undefined) {\n    throw new Error(\n      'vertexDatasetName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function batchJobSourceToVertex(\n  fromObject: types.BatchJobSource,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFormat = common.getValueByPath(fromObject, ['format']);\n  if (fromFormat != null) {\n    common.setValueByPath(toObject, ['instancesFormat'], fromFormat);\n  }\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['gcsSource', 'uris'], fromGcsUri);\n  }\n\n  const fromBigqueryUri = common.getValueByPath(fromObject, ['bigqueryUri']);\n  if (fromBigqueryUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['bigquerySource', 'inputUri'],\n      fromBigqueryUri,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fileName']) !== undefined) {\n    throw new Error(\n      'fileName parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['inlinedRequests']) !== undefined) {\n    throw new Error(\n      'inlinedRequests parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromVertexDatasetName = common.getValueByPath(fromObject, [\n    'vertexDatasetName',\n  ]);\n  if (fromVertexDatasetName != null) {\n    common.setValueByPath(\n      toObject,\n      ['vertexMultimodalDatasetSource', 'datasetName'],\n      fromVertexDatasetName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function blobToMldev(fromObject: types.Blob): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromData = common.getValueByPath(fromObject, ['data']);\n  if (fromData != null) {\n    common.setValueByPath(toObject, ['data'], fromData);\n  }\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function cancelBatchJobParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CancelBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function cancelBatchJobParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.CancelBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function candidateFromMldev(\n  fromObject: types.Candidate,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromContent = common.getValueByPath(fromObject, ['content']);\n  if (fromContent != null) {\n    common.setValueByPath(toObject, ['content'], fromContent);\n  }\n\n  const fromCitationMetadata = common.getValueByPath(fromObject, [\n    'citationMetadata',\n  ]);\n  if (fromCitationMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['citationMetadata'],\n      citationMetadataFromMldev(fromCitationMetadata),\n    );\n  }\n\n  const fromTokenCount = common.getValueByPath(fromObject, ['tokenCount']);\n  if (fromTokenCount != null) {\n    common.setValueByPath(toObject, ['tokenCount'], fromTokenCount);\n  }\n\n  const fromFinishReason = common.getValueByPath(fromObject, ['finishReason']);\n  if (fromFinishReason != null) {\n    common.setValueByPath(toObject, ['finishReason'], fromFinishReason);\n  }\n\n  const fromGroundingMetadata = common.getValueByPath(fromObject, [\n    'groundingMetadata',\n  ]);\n  if (fromGroundingMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['groundingMetadata'],\n      fromGroundingMetadata,\n    );\n  }\n\n  const fromAvgLogprobs = common.getValueByPath(fromObject, ['avgLogprobs']);\n  if (fromAvgLogprobs != null) {\n    common.setValueByPath(toObject, ['avgLogprobs'], fromAvgLogprobs);\n  }\n\n  const fromIndex = common.getValueByPath(fromObject, ['index']);\n  if (fromIndex != null) {\n    common.setValueByPath(toObject, ['index'], fromIndex);\n  }\n\n  const fromLogprobsResult = common.getValueByPath(fromObject, [\n    'logprobsResult',\n  ]);\n  if (fromLogprobsResult != null) {\n    common.setValueByPath(toObject, ['logprobsResult'], fromLogprobsResult);\n  }\n\n  const fromSafetyRatings = common.getValueByPath(fromObject, [\n    'safetyRatings',\n  ]);\n  if (fromSafetyRatings != null) {\n    let transformedList = fromSafetyRatings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['safetyRatings'], transformedList);\n  }\n\n  const fromUrlContextMetadata = common.getValueByPath(fromObject, [\n    'urlContextMetadata',\n  ]);\n  if (fromUrlContextMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['urlContextMetadata'],\n      fromUrlContextMetadata,\n    );\n  }\n\n  return toObject;\n}\n\nexport function citationMetadataFromMldev(\n  fromObject: types.CitationMetadata,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCitations = common.getValueByPath(fromObject, ['citationSources']);\n  if (fromCitations != null) {\n    let transformedList = fromCitations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['citations'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function contentToMldev(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function createBatchJobConfigToMldev(\n  fromObject: types.CreateBatchJobConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(\n      parentObject,\n      ['batch', 'displayName'],\n      fromDisplayName,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['dest']) !== undefined) {\n    throw new Error(\n      'dest parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromWebhookConfig = common.getValueByPath(fromObject, [\n    'webhookConfig',\n  ]);\n  if (parentObject !== undefined && fromWebhookConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['batch', 'webhookConfig'],\n      fromWebhookConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function createBatchJobConfigToVertex(\n  fromObject: types.CreateBatchJobConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromDest = common.getValueByPath(fromObject, ['dest']);\n  if (parentObject !== undefined && fromDest != null) {\n    common.setValueByPath(\n      parentObject,\n      ['outputConfig'],\n      batchJobDestinationToVertex(t.tBatchJobDestination(fromDest)),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['webhookConfig']) !== undefined) {\n    throw new Error(\n      'webhookConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function createBatchJobParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromSrc = common.getValueByPath(fromObject, ['src']);\n  if (fromSrc != null) {\n    common.setValueByPath(\n      toObject,\n      ['batch', 'inputConfig'],\n      batchJobSourceToMldev(apiClient, t.tBatchJobSource(apiClient, fromSrc)),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createBatchJobConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function createBatchJobParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.CreateBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], t.tModel(apiClient, fromModel));\n  }\n\n  const fromSrc = common.getValueByPath(fromObject, ['src']);\n  if (fromSrc != null) {\n    common.setValueByPath(\n      toObject,\n      ['inputConfig'],\n      batchJobSourceToVertex(t.tBatchJobSource(apiClient, fromSrc)),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createBatchJobConfigToVertex(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function createEmbeddingsBatchJobConfigToMldev(\n  fromObject: types.CreateEmbeddingsBatchJobConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(\n      parentObject,\n      ['batch', 'displayName'],\n      fromDisplayName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function createEmbeddingsBatchJobParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateEmbeddingsBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromSrc = common.getValueByPath(fromObject, ['src']);\n  if (fromSrc != null) {\n    common.setValueByPath(\n      toObject,\n      ['batch', 'inputConfig'],\n      embeddingsBatchJobSourceToMldev(apiClient, fromSrc),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createEmbeddingsBatchJobConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function deleteBatchJobParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.DeleteBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteBatchJobParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.DeleteBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteResourceJobFromMldev(\n  fromObject: types.DeleteResourceJob,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  return toObject;\n}\n\nexport function deleteResourceJobFromVertex(\n  fromObject: types.DeleteResourceJob,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  return toObject;\n}\n\nexport function embedContentBatchToMldev(\n  apiClient: ApiClient,\n  fromObject: types.EmbedContentBatch,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContentsForEmbed(apiClient, fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(\n      toObject,\n      ['requests[]', 'request', 'content'],\n      transformedList,\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['_self'],\n      embedContentConfigToMldev(fromConfig, toObject),\n    );\n    common.moveValueByPath(toObject, {'requests[].*': 'requests[].request.*'});\n  }\n\n  return toObject;\n}\n\nexport function embedContentConfigToMldev(\n  fromObject: types.EmbedContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTaskType = common.getValueByPath(fromObject, ['taskType']);\n  if (parentObject !== undefined && fromTaskType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['requests[]', 'taskType'],\n      fromTaskType,\n    );\n  }\n\n  const fromTitle = common.getValueByPath(fromObject, ['title']);\n  if (parentObject !== undefined && fromTitle != null) {\n    common.setValueByPath(parentObject, ['requests[]', 'title'], fromTitle);\n  }\n\n  const fromOutputDimensionality = common.getValueByPath(fromObject, [\n    'outputDimensionality',\n  ]);\n  if (parentObject !== undefined && fromOutputDimensionality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['requests[]', 'outputDimensionality'],\n      fromOutputDimensionality,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['mimeType']) !== undefined) {\n    throw new Error(\n      'mimeType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['autoTruncate']) !== undefined) {\n    throw new Error(\n      'autoTruncate parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['documentOcr']) !== undefined) {\n    throw new Error(\n      'documentOcr parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['audioTrackExtraction']) !== undefined\n  ) {\n    throw new Error(\n      'audioTrackExtraction parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function embeddingsBatchJobSourceToMldev(\n  apiClient: ApiClient,\n  fromObject: types.EmbeddingsBatchJobSource,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFileName = common.getValueByPath(fromObject, ['fileName']);\n  if (fromFileName != null) {\n    common.setValueByPath(toObject, ['file_name'], fromFileName);\n  }\n\n  const fromInlinedRequests = common.getValueByPath(fromObject, [\n    'inlinedRequests',\n  ]);\n  if (fromInlinedRequests != null) {\n    common.setValueByPath(\n      toObject,\n      ['requests'],\n      embedContentBatchToMldev(apiClient, fromInlinedRequests),\n    );\n  }\n\n  return toObject;\n}\n\nexport function fileDataToMldev(\n  fromObject: types.FileData,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileUri = common.getValueByPath(fromObject, ['fileUri']);\n  if (fromFileUri != null) {\n    common.setValueByPath(toObject, ['fileUri'], fromFileUri);\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function functionCallToMldev(\n  fromObject: types.FunctionCall,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromId = common.getValueByPath(fromObject, ['id']);\n  if (fromId != null) {\n    common.setValueByPath(toObject, ['id'], fromId);\n  }\n\n  const fromArgs = common.getValueByPath(fromObject, ['args']);\n  if (fromArgs != null) {\n    common.setValueByPath(toObject, ['args'], fromArgs);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  if (common.getValueByPath(fromObject, ['partialArgs']) !== undefined) {\n    throw new Error(\n      'partialArgs parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['willContinue']) !== undefined) {\n    throw new Error(\n      'willContinue parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function functionCallingConfigToMldev(\n  fromObject: types.FunctionCallingConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAllowedFunctionNames = common.getValueByPath(fromObject, [\n    'allowedFunctionNames',\n  ]);\n  if (fromAllowedFunctionNames != null) {\n    common.setValueByPath(\n      toObject,\n      ['allowedFunctionNames'],\n      fromAllowedFunctionNames,\n    );\n  }\n\n  const fromMode = common.getValueByPath(fromObject, ['mode']);\n  if (fromMode != null) {\n    common.setValueByPath(toObject, ['mode'], fromMode);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamFunctionCallArguments']) !==\n    undefined\n  ) {\n    throw new Error(\n      'streamFunctionCallArguments parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateContentConfigToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GenerateContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseSchema'],\n      t.tSchema(fromResponseSchema),\n    );\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['routingConfig']) !== undefined) {\n    throw new Error(\n      'routingConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['modelSelectionConfig']) !== undefined\n  ) {\n    throw new Error(\n      'modelSelectionConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return safetySettingToMldev(item);\n      });\n    }\n    common.setValueByPath(parentObject, ['safetySettings'], transformedList);\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(t.tTool(item));\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromToolConfig = common.getValueByPath(fromObject, ['toolConfig']);\n  if (parentObject !== undefined && fromToolConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['toolConfig'],\n      toolConfigToMldev(fromToolConfig),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['labels']) !== undefined) {\n    throw new Error(\n      'labels parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromCachedContent = common.getValueByPath(fromObject, [\n    'cachedContent',\n  ]);\n  if (parentObject !== undefined && fromCachedContent != null) {\n    common.setValueByPath(\n      parentObject,\n      ['cachedContent'],\n      t.tCachedContentName(apiClient, fromCachedContent),\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['speechConfig'],\n      t.tSpeechConfig(fromSpeechConfig),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['audioTimestamp']) !== undefined) {\n    throw new Error(\n      'audioTimestamp parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromImageConfig = common.getValueByPath(fromObject, ['imageConfig']);\n  if (fromImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageConfig'],\n      imageConfigToMldev(fromImageConfig),\n    );\n  }\n\n  const fromEnableEnhancedCivicAnswers = common.getValueByPath(fromObject, [\n    'enableEnhancedCivicAnswers',\n  ]);\n  if (fromEnableEnhancedCivicAnswers != null) {\n    common.setValueByPath(\n      toObject,\n      ['enableEnhancedCivicAnswers'],\n      fromEnableEnhancedCivicAnswers,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['modelArmorConfig']) !== undefined) {\n    throw new Error(\n      'modelArmorConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromServiceTier = common.getValueByPath(fromObject, ['serviceTier']);\n  if (parentObject !== undefined && fromServiceTier != null) {\n    common.setValueByPath(parentObject, ['serviceTier'], fromServiceTier);\n  }\n\n  return toObject;\n}\n\nexport function generateContentResponseFromMldev(\n  fromObject: types.GenerateContentResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromCandidates = common.getValueByPath(fromObject, ['candidates']);\n  if (fromCandidates != null) {\n    let transformedList = fromCandidates;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return candidateFromMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['candidates'], transformedList);\n  }\n\n  const fromModelVersion = common.getValueByPath(fromObject, ['modelVersion']);\n  if (fromModelVersion != null) {\n    common.setValueByPath(toObject, ['modelVersion'], fromModelVersion);\n  }\n\n  const fromPromptFeedback = common.getValueByPath(fromObject, [\n    'promptFeedback',\n  ]);\n  if (fromPromptFeedback != null) {\n    common.setValueByPath(toObject, ['promptFeedback'], fromPromptFeedback);\n  }\n\n  const fromResponseId = common.getValueByPath(fromObject, ['responseId']);\n  if (fromResponseId != null) {\n    common.setValueByPath(toObject, ['responseId'], fromResponseId);\n  }\n\n  const fromUsageMetadata = common.getValueByPath(fromObject, [\n    'usageMetadata',\n  ]);\n  if (fromUsageMetadata != null) {\n    common.setValueByPath(toObject, ['usageMetadata'], fromUsageMetadata);\n  }\n\n  const fromModelStatus = common.getValueByPath(fromObject, ['modelStatus']);\n  if (fromModelStatus != null) {\n    common.setValueByPath(toObject, ['modelStatus'], fromModelStatus);\n  }\n\n  return toObject;\n}\n\nexport function getBatchJobParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GetBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function getBatchJobParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GetBatchJobParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tBatchJobName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function googleMapsToMldev(\n  fromObject: types.GoogleMaps,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAuthConfig = common.getValueByPath(fromObject, ['authConfig']);\n  if (fromAuthConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['authConfig'],\n      authConfigToMldev(fromAuthConfig),\n    );\n  }\n\n  const fromEnableWidget = common.getValueByPath(fromObject, ['enableWidget']);\n  if (fromEnableWidget != null) {\n    common.setValueByPath(toObject, ['enableWidget'], fromEnableWidget);\n  }\n\n  return toObject;\n}\n\nexport function googleSearchToMldev(\n  fromObject: types.GoogleSearch,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSearchTypes = common.getValueByPath(fromObject, ['searchTypes']);\n  if (fromSearchTypes != null) {\n    common.setValueByPath(toObject, ['searchTypes'], fromSearchTypes);\n  }\n\n  if (common.getValueByPath(fromObject, ['blockingConfidence']) !== undefined) {\n    throw new Error(\n      'blockingConfidence parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['excludeDomains']) !== undefined) {\n    throw new Error(\n      'excludeDomains parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTimeRangeFilter = common.getValueByPath(fromObject, [\n    'timeRangeFilter',\n  ]);\n  if (fromTimeRangeFilter != null) {\n    common.setValueByPath(toObject, ['timeRangeFilter'], fromTimeRangeFilter);\n  }\n\n  return toObject;\n}\n\nexport function imageConfigToMldev(\n  fromObject: types.ImageConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (fromAspectRatio != null) {\n    common.setValueByPath(toObject, ['aspectRatio'], fromAspectRatio);\n  }\n\n  const fromImageSize = common.getValueByPath(fromObject, ['imageSize']);\n  if (fromImageSize != null) {\n    common.setValueByPath(toObject, ['imageSize'], fromImageSize);\n  }\n\n  if (common.getValueByPath(fromObject, ['personGeneration']) !== undefined) {\n    throw new Error(\n      'personGeneration parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['prominentPeople']) !== undefined) {\n    throw new Error(\n      'prominentPeople parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['outputMimeType']) !== undefined) {\n    throw new Error(\n      'outputMimeType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['outputCompressionQuality']) !==\n    undefined\n  ) {\n    throw new Error(\n      'outputCompressionQuality parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['imageOutputOptions']) !== undefined) {\n    throw new Error(\n      'imageOutputOptions parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function inlinedRequestToMldev(\n  apiClient: ApiClient,\n  fromObject: types.InlinedRequest,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['request', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['request', 'contents'], transformedList);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['request', 'generationConfig'],\n      generateContentConfigToMldev(\n        apiClient,\n        fromConfig,\n        common.getValueByPath(toObject, ['request'], {}) as Record<\n          string,\n          unknown\n        >,\n      ),\n    );\n  }\n\n  return toObject;\n}\n\nexport function inlinedResponseFromMldev(\n  fromObject: types.InlinedResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      generateContentResponseFromMldev(\n        fromResponse as types.GenerateContentResponse,\n      ),\n    );\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsConfigToMldev(\n  fromObject: types.ListBatchJobsConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  if (common.getValueByPath(fromObject, ['filter']) !== undefined) {\n    throw new Error(\n      'filter parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsConfigToVertex(\n  fromObject: types.ListBatchJobsConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  const fromFilter = common.getValueByPath(fromObject, ['filter']);\n  if (parentObject !== undefined && fromFilter != null) {\n    common.setValueByPath(parentObject, ['_query', 'filter'], fromFilter);\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsParametersToMldev(\n  fromObject: types.ListBatchJobsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listBatchJobsConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsParametersToVertex(\n  fromObject: types.ListBatchJobsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listBatchJobsConfigToVertex(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsResponseFromMldev(\n  fromObject: types.ListBatchJobsResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromBatchJobs = common.getValueByPath(fromObject, ['operations']);\n  if (fromBatchJobs != null) {\n    let transformedList = fromBatchJobs;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return batchJobFromMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['batchJobs'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function listBatchJobsResponseFromVertex(\n  fromObject: types.ListBatchJobsResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromBatchJobs = common.getValueByPath(fromObject, [\n    'batchPredictionJobs',\n  ]);\n  if (fromBatchJobs != null) {\n    let transformedList = fromBatchJobs;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return batchJobFromVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['batchJobs'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function partToMldev(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      fromCodeExecutionResult,\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(toObject, ['executableCode'], fromExecutableCode);\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(\n      toObject,\n      ['fileData'],\n      fileDataToMldev(fromFileData),\n    );\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCall'],\n      functionCallToMldev(fromFunctionCall),\n    );\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(\n      toObject,\n      ['inlineData'],\n      blobToMldev(fromInlineData),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  const fromPartMetadata = common.getValueByPath(fromObject, ['partMetadata']);\n  if (fromPartMetadata != null) {\n    common.setValueByPath(toObject, ['partMetadata'], fromPartMetadata);\n  }\n\n  return toObject;\n}\n\nexport function safetySettingToMldev(\n  fromObject: types.SafetySetting,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategory = common.getValueByPath(fromObject, ['category']);\n  if (fromCategory != null) {\n    common.setValueByPath(toObject, ['category'], fromCategory);\n  }\n\n  if (common.getValueByPath(fromObject, ['method']) !== undefined) {\n    throw new Error(\n      'method parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThreshold = common.getValueByPath(fromObject, ['threshold']);\n  if (fromThreshold != null) {\n    common.setValueByPath(toObject, ['threshold'], fromThreshold);\n  }\n\n  return toObject;\n}\n\nexport function toolConfigToMldev(\n  fromObject: types.ToolConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrievalConfig = common.getValueByPath(fromObject, [\n    'retrievalConfig',\n  ]);\n  if (fromRetrievalConfig != null) {\n    common.setValueByPath(toObject, ['retrievalConfig'], fromRetrievalConfig);\n  }\n\n  const fromFunctionCallingConfig = common.getValueByPath(fromObject, [\n    'functionCallingConfig',\n  ]);\n  if (fromFunctionCallingConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCallingConfig'],\n      functionCallingConfigToMldev(fromFunctionCallingConfig),\n    );\n  }\n\n  const fromIncludeServerSideToolInvocations = common.getValueByPath(\n    fromObject,\n    ['includeServerSideToolInvocations'],\n  );\n  if (fromIncludeServerSideToolInvocations != null) {\n    common.setValueByPath(\n      toObject,\n      ['includeServerSideToolInvocations'],\n      fromIncludeServerSideToolInvocations,\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToMldev(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['retrieval']) !== undefined) {\n    throw new Error(\n      'retrieval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(toObject, ['computerUse'], fromComputerUse);\n  }\n\n  const fromFileSearch = common.getValueByPath(fromObject, ['fileSearch']);\n  if (fromFileSearch != null) {\n    common.setValueByPath(toObject, ['fileSearch'], fromFileSearch);\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearch'],\n      googleSearchToMldev(fromGoogleSearch),\n    );\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleMaps'],\n      googleMapsToMldev(fromGoogleMaps),\n    );\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enterpriseWebSearch']) !== undefined\n  ) {\n    throw new Error(\n      'enterpriseWebSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['parallelAiSearch']) !== undefined) {\n    throw new Error(\n      'parallelAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['exaAiSearch']) !== undefined) {\n    throw new Error(\n      'exaAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function vertexMultimodalDatasetDestinationFromVertex(\n  fromObject: types.VertexMultimodalDatasetDestination,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBigqueryDestination = common.getValueByPath(fromObject, [\n    'bigqueryDestination',\n    'outputUri',\n  ]);\n  if (fromBigqueryDestination != null) {\n    common.setValueByPath(\n      toObject,\n      ['bigqueryDestination'],\n      fromBigqueryDestination,\n    );\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  return toObject;\n}\n\nexport function vertexMultimodalDatasetDestinationToVertex(\n  fromObject: types.VertexMultimodalDatasetDestination,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBigqueryDestination = common.getValueByPath(fromObject, [\n    'bigqueryDestination',\n  ]);\n  if (fromBigqueryDestination != null) {\n    common.setValueByPath(\n      toObject,\n      ['bigqueryDestination', 'outputUri'],\n      fromBigqueryDestination,\n    );\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n/**\n * Pagers for the GenAI List APIs.\n */\n\nimport * as types from './types.js';\n\nexport enum PagedItem {\n  PAGED_ITEM_BATCH_JOBS = 'batchJobs',\n  PAGED_ITEM_MODELS = 'models',\n  PAGED_ITEM_TUNING_JOBS = 'tuningJobs',\n  PAGED_ITEM_FILES = 'files',\n  PAGED_ITEM_CACHED_CONTENTS = 'cachedContents',\n  PAGED_ITEM_FILE_SEARCH_STORES = 'fileSearchStores',\n  PAGED_ITEM_DOCUMENTS = 'documents',\n  PAGED_ITEM_SKILLS = 'skills',\n}\n\nexport interface PagedItemConfig {\n  parent?: string;\n  config?: {\n    pageToken?: string;\n    pageSize?: number;\n  };\n}\n\ninterface PagedItemResponse<T> {\n  nextPageToken?: string;\n  sdkHttpResponse?: types.HttpResponse;\n  batchJobs?: T[];\n  models?: T[];\n  tuningJobs?: T[];\n  files?: T[];\n  cachedContents?: T[];\n  fileSearchStores?: T[];\n  documents?: T[];\n  skills?: T[];\n}\n\n/**\n * Pager class for iterating through paginated results.\n */\nexport class Pager<T> implements AsyncIterable<T> {\n  private nameInternal!: PagedItem;\n  private pageInternal: T[] = [];\n  private paramsInternal: PagedItemConfig = {};\n  private pageInternalSize!: number;\n  private sdkHttpResponseInternal?: types.HttpResponse;\n  protected requestInternal!: (\n    params: PagedItemConfig,\n  ) => Promise<PagedItemResponse<T>>;\n  protected idxInternal!: number;\n\n  constructor(\n    name: PagedItem,\n    request: (params: PagedItemConfig) => Promise<PagedItemResponse<T>>,\n    response: PagedItemResponse<T>,\n    params: PagedItemConfig,\n  ) {\n    this.requestInternal = request;\n    this.init(name, response, params);\n  }\n\n  private init(\n    name: PagedItem,\n    response: PagedItemResponse<T>,\n    params: PagedItemConfig,\n  ) {\n    this.nameInternal = name;\n    this.pageInternal = response[this.nameInternal] || [];\n\n    this.sdkHttpResponseInternal = response?.sdkHttpResponse;\n    this.idxInternal = 0;\n    let requestParams: PagedItemConfig = {config: {}};\n    if (!params || Object.keys(params).length === 0) {\n      requestParams = {config: {}};\n    } else if (typeof params === 'object') {\n      requestParams = {...params};\n    } else {\n      requestParams = params;\n    }\n    if (requestParams['config']) {\n      requestParams['config']['pageToken'] = response['nextPageToken'];\n    }\n    this.paramsInternal = requestParams;\n    this.pageInternalSize =\n      requestParams['config']?.['pageSize'] ?? this.pageInternal.length;\n  }\n\n  private initNextPage(response: PagedItemResponse<T>): void {\n    this.init(this.nameInternal, response, this.paramsInternal);\n  }\n\n  /**\n   * Returns the current page, which is a list of items.\n   *\n   * @remarks\n   * The first page is retrieved when the pager is created. The returned list of\n   * items could be a subset of the entire list.\n   */\n  get page(): T[] {\n    return this.pageInternal;\n  }\n\n  /**\n   * Returns the type of paged item (for example, ``batch_jobs``).\n   */\n  get name(): PagedItem {\n    return this.nameInternal;\n  }\n\n  /**\n   * Returns the length of the page fetched each time by this pager.\n   *\n   * @remarks\n   * The number of items in the page is less than or equal to the page length.\n   */\n  get pageSize(): number {\n    return this.pageInternalSize;\n  }\n\n  /**\n   * Returns the headers of the API response.\n   */\n  get sdkHttpResponse(): types.HttpResponse | undefined {\n    return this.sdkHttpResponseInternal;\n  }\n\n  /**\n   * Returns the parameters when making the API request for the next page.\n   *\n   * @remarks\n   * Parameters contain a set of optional configs that can be\n   * used to customize the API request. For example, the `pageToken` parameter\n   * contains the token to request the next page.\n   */\n  get params(): PagedItemConfig {\n    return this.paramsInternal;\n  }\n\n  /**\n   * Returns the total number of items in the current page.\n   */\n  get pageLength(): number {\n    return this.pageInternal.length;\n  }\n\n  /**\n   * Returns the item at the given index.\n   */\n  getItem(index: number): T {\n    return this.pageInternal[index];\n  }\n\n  /**\n   * Returns an async iterator that support iterating through all items\n   * retrieved from the API.\n   *\n   * @remarks\n   * The iterator will automatically fetch the next page if there are more items\n   * to fetch from the API.\n   *\n   * @example\n   *\n   * ```ts\n   * const pager = await ai.files.list({config: {pageSize: 10}});\n   * for await (const file of pager) {\n   *   console.log(file.name);\n   * }\n   * ```\n   */\n  [Symbol.asyncIterator](): AsyncIterator<T> {\n    return {\n      next: async () => {\n        if (this.idxInternal >= this.pageLength) {\n          if (this.hasNextPage()) {\n            await this.nextPage();\n          } else {\n            return {value: undefined, done: true};\n          }\n        }\n        const item = this.getItem(this.idxInternal);\n        this.idxInternal += 1;\n        return {value: item, done: false};\n      },\n      return: async () => {\n        return {value: undefined, done: true};\n      },\n    };\n  }\n\n  /**\n   * Fetches the next page of items. This makes a new API request.\n   *\n   * @throws {Error} If there are no more pages to fetch.\n   *\n   * @example\n   *\n   * ```ts\n   * const pager = await ai.files.list({config: {pageSize: 10}});\n   * let page = pager.page;\n   * while (true) {\n   *   for (const file of page) {\n   *     console.log(file.name);\n   *   }\n   *   if (!pager.hasNextPage()) {\n   *     break;\n   *   }\n   *   page = await pager.nextPage();\n   * }\n   * ```\n   */\n  async nextPage(): Promise<T[]> {\n    if (!this.hasNextPage()) {\n      throw new Error('No more pages to fetch.');\n    }\n    const response = await this.requestInternal(this.params);\n    this.initNextPage(response);\n    return this.page;\n  }\n\n  /**\n   * Returns true if there are more pages to fetch from the API.\n   */\n  hasNextPage(): boolean {\n    if (this.params['config']?.['pageToken'] !== undefined) {\n      return true;\n    }\n    return false;\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_batches_converters.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Batches extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Lists batch jobs.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of batch jobs.\n   *\n   * @example\n   * ```ts\n   * const batchJobs = await ai.batches.list({config: {'pageSize': 2}});\n   * for await (const batchJob of batchJobs) {\n   *   console.log(batchJob);\n   * }\n   * ```\n   */\n  list = async (\n    params: types.ListBatchJobsParameters = {},\n  ): Promise<Pager<types.BatchJob>> => {\n    return new Pager<types.BatchJob>(\n      PagedItem.PAGED_ITEM_BATCH_JOBS,\n      (x: types.ListBatchJobsParameters) => this.listInternal(x),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Create batch job.\n   *\n   * @param params - The parameters for create batch job request.\n   * @return The created batch job.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.batches.create({\n   *   model: 'gemini-2.0-flash',\n   *   src: {gcsUri: 'gs://bucket/path/to/file.jsonl', format: 'jsonl'},\n   *   config: {\n   *     dest: {gcsUri: 'gs://bucket/path/output/directory', format: 'jsonl'},\n   *   }\n   * });\n   * console.log(response);\n   * ```\n   */\n  create = async (\n    params: types.CreateBatchJobParameters,\n  ): Promise<types.BatchJob> => {\n    if (this.apiClient.isVertexAI()) {\n      // Format destination if not provided\n      // Cast params.src as Vertex AI path does not handle InlinedRequest[]\n      params.config = this.formatDestination(\n        params.src as string | types.BatchJobSource,\n        params.config,\n      );\n    }\n    return this.createInternal(params);\n  };\n\n  /**\n   * **Experimental** Creates an embedding batch job.\n   *\n   * @param params - The parameters for create embedding batch job request.\n   * @return The created batch job.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.batches.createEmbeddings({\n   *   model: 'text-embedding-004',\n   *   src: {fileName: 'files/my_embedding_input'},\n   * });\n   * console.log(response);\n   * ```\n   */\n  createEmbeddings = async (\n    params: types.CreateEmbeddingsBatchJobParameters,\n  ): Promise<types.BatchJob> => {\n    console.warn(\n      'batches.createEmbeddings() is experimental and may change without notice.',\n    );\n\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'Gemini Enterprise Agent Platform (previously known as Vertex AI) does not support batches.createEmbeddings.',\n      );\n    }\n\n    return this.createEmbeddingsInternal(params);\n  };\n\n  // Helper function to handle inlined generate content requests\n  private createInlinedGenerateContentRequest(\n    params: types.CreateBatchJobParameters,\n  ): {path: string; body: Record<string, unknown>} {\n    const body = converters.createBatchJobParametersToMldev(\n      this.apiClient, // Use instance apiClient\n      params,\n    );\n\n    const urlParams = body['_url'] as Record<string, unknown>;\n    const path = common.formatMap('{model}:batchGenerateContent', urlParams);\n\n    const batch = body['batch'] as {[key: string]: unknown};\n    const inputConfig = batch['inputConfig'] as {[key: string]: unknown};\n    const requestsWrapper = inputConfig['requests'] as {\n      [key: string]: unknown;\n    };\n    const requests = requestsWrapper['requests'] as Array<{\n      [key: string]: unknown;\n    }>;\n    const newRequests = [];\n\n    for (const request of requests) {\n      const requestDict = {...request}; // Clone\n      if (requestDict['systemInstruction']) {\n        const systemInstructionValue = requestDict['systemInstruction'];\n        delete requestDict['systemInstruction'];\n        const requestContent = requestDict['request'] as {\n          [key: string]: unknown;\n        };\n        requestContent['systemInstruction'] = systemInstructionValue;\n        requestDict['request'] = requestContent;\n      }\n      newRequests.push(requestDict);\n    }\n    requestsWrapper['requests'] = newRequests;\n\n    delete body['config'];\n    delete body['_url'];\n    delete body['_query'];\n\n    return {path, body};\n  }\n\n  // Helper function to get the first GCS URI\n  private getGcsUri(src: string | types.BatchJobSource): string | undefined {\n    if (typeof src === 'string') {\n      return src.startsWith('gs://') ? src : undefined;\n    }\n    if (!Array.isArray(src) && src.gcsUri && src.gcsUri.length > 0) {\n      return src.gcsUri[0];\n    }\n    return undefined;\n  }\n\n  // Helper function to get the BigQuery URI\n  private getBigqueryUri(\n    src: string | types.BatchJobSource,\n  ): string | undefined {\n    if (typeof src === 'string') {\n      return src.startsWith('bq://') ? src : undefined;\n    }\n    if (!Array.isArray(src)) {\n      return src.bigqueryUri;\n    }\n    return undefined;\n  }\n\n  // Function to format the destination configuration for Vertex AI\n  private formatDestination(\n    src: string | types.BatchJobSource,\n    config?: types.CreateBatchJobConfig,\n  ): types.CreateBatchJobConfig {\n    const newConfig = config ? {...config} : {};\n\n    const timestampStr = Date.now().toString();\n\n    if (!newConfig.displayName) {\n      newConfig.displayName = `genaiBatchJob_${timestampStr}`;\n    }\n\n    if (newConfig.dest === undefined) {\n      const gcsUri = this.getGcsUri(src);\n      const bigqueryUri = this.getBigqueryUri(src);\n\n      if (gcsUri) {\n        if (gcsUri.endsWith('.jsonl')) {\n          // For .jsonl files, remove suffix and add /dest\n          newConfig.dest = `${gcsUri.slice(0, -6)}/dest`;\n        } else {\n          // Fallback for other GCS URIs\n          newConfig.dest = `${gcsUri}_dest_${timestampStr}`;\n        }\n      } else if (bigqueryUri) {\n        newConfig.dest = `${bigqueryUri}_dest_${timestampStr}`;\n      } else {\n        throw new Error(\n          'Unsupported source for Gemini Enterprise Agent Platform (previously known as Vertex AI): No GCS or BigQuery URI found.',\n        );\n      }\n    }\n    return newConfig;\n  }\n\n  /**\n   * Internal method to create batch job.\n   *\n   * @param params - The parameters for create batch job request.\n   * @return The created batch job.\n   *\n   */\n  private async createInternal(\n    params: types.CreateBatchJobParameters,\n  ): Promise<types.BatchJob> {\n    let response: Promise<types.BatchJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.createBatchJobParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batchPredictionJobs',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.BatchJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.batchJobFromVertex(apiResponse);\n\n        return resp as types.BatchJob;\n      });\n    } else {\n      const body = converters.createBatchJobParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:batchGenerateContent',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.BatchJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.batchJobFromMldev(apiResponse);\n\n        return resp as types.BatchJob;\n      });\n    }\n  }\n\n  /**\n   * Internal method to create batch job.\n   *\n   * @param params - The parameters for create batch job request.\n   * @return The created batch job.\n   *\n   */\n  private async createEmbeddingsInternal(\n    params: types.CreateEmbeddingsBatchJobParameters,\n  ): Promise<types.BatchJob> {\n    let response: Promise<types.BatchJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.createEmbeddingsBatchJobParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:asyncBatchEmbedContent',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.BatchJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.batchJobFromMldev(apiResponse);\n\n        return resp as types.BatchJob;\n      });\n    }\n  }\n\n  /**\n   * Gets batch job configurations.\n   *\n   * @param params - The parameters for the get request.\n   * @return The batch job.\n   *\n   * @example\n   * ```ts\n   * await ai.batches.get({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async get(params: types.GetBatchJobParameters): Promise<types.BatchJob> {\n    let response: Promise<types.BatchJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.getBatchJobParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batchPredictionJobs/{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.BatchJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.batchJobFromVertex(apiResponse);\n\n        return resp as types.BatchJob;\n      });\n    } else {\n      const body = converters.getBatchJobParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batches/{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.BatchJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.batchJobFromMldev(apiResponse);\n\n        return resp as types.BatchJob;\n      });\n    }\n  }\n\n  /**\n   * Cancels a batch job.\n   *\n   * @param params - The parameters for the cancel request.\n   * @return The empty response returned by the API.\n   *\n   * @example\n   * ```ts\n   * await ai.batches.cancel({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async cancel(params: types.CancelBatchJobParameters): Promise<void> {\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.cancelBatchJobParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batchPredictionJobs/{name}:cancel',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      await this.apiClient.request({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'POST',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      });\n    } else {\n      const body = converters.cancelBatchJobParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batches/{name}:cancel',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      await this.apiClient.request({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'POST',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListBatchJobsParameters,\n  ): Promise<types.ListBatchJobsResponse> {\n    let response: Promise<types.ListBatchJobsResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.listBatchJobsParametersToVertex(params);\n      path = common.formatMap(\n        'batchPredictionJobs',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListBatchJobsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListBatchJobsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listBatchJobsResponseFromVertex(apiResponse);\n        const typedResp = new types.ListBatchJobsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.listBatchJobsParametersToMldev(params);\n      path = common.formatMap(\n        'batches',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListBatchJobsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListBatchJobsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listBatchJobsResponseFromMldev(apiResponse);\n        const typedResp = new types.ListBatchJobsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Deletes a batch job.\n   *\n   * @param params - The parameters for the delete request.\n   * @return The empty response returned by the API.\n   *\n   * @example\n   * ```ts\n   * await ai.batches.delete({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async delete(\n    params: types.DeleteBatchJobParameters,\n  ): Promise<types.DeleteResourceJob> {\n    let response: Promise<types.DeleteResourceJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.deleteBatchJobParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batchPredictionJobs/{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteResourceJob;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteResourceJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.deleteResourceJobFromVertex(apiResponse);\n\n        return resp as types.DeleteResourceJob;\n      });\n    } else {\n      const body = converters.deleteBatchJobParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'batches/{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteResourceJob;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteResourceJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.deleteResourceJobFromMldev(apiResponse);\n\n        return resp as types.DeleteResourceJob;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function authConfigToMldev(\n  fromObject: types.AuthConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromApiKey = common.getValueByPath(fromObject, ['apiKey']);\n  if (fromApiKey != null) {\n    common.setValueByPath(toObject, ['apiKey'], fromApiKey);\n  }\n\n  if (common.getValueByPath(fromObject, ['apiKeyConfig']) !== undefined) {\n    throw new Error(\n      'apiKeyConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['authType']) !== undefined) {\n    throw new Error(\n      'authType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['googleServiceAccountConfig']) !==\n    undefined\n  ) {\n    throw new Error(\n      'googleServiceAccountConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['httpBasicAuthConfig']) !== undefined\n  ) {\n    throw new Error(\n      'httpBasicAuthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oauthConfig']) !== undefined) {\n    throw new Error(\n      'oauthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oidcConfig']) !== undefined) {\n    throw new Error(\n      'oidcConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function blobToMldev(fromObject: types.Blob): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromData = common.getValueByPath(fromObject, ['data']);\n  if (fromData != null) {\n    common.setValueByPath(toObject, ['data'], fromData);\n  }\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function codeExecutionResultToVertex(\n  fromObject: types.CodeExecutionResult,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutcome = common.getValueByPath(fromObject, ['outcome']);\n  if (fromOutcome != null) {\n    common.setValueByPath(toObject, ['outcome'], fromOutcome);\n  }\n\n  const fromOutput = common.getValueByPath(fromObject, ['output']);\n  if (fromOutput != null) {\n    common.setValueByPath(toObject, ['output'], fromOutput);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function computerUseToVertex(\n  fromObject: types.ComputerUse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromEnvironment = common.getValueByPath(fromObject, ['environment']);\n  if (fromEnvironment != null) {\n    common.setValueByPath(toObject, ['environment'], fromEnvironment);\n  }\n\n  const fromExcludedPredefinedFunctions = common.getValueByPath(fromObject, [\n    'excludedPredefinedFunctions',\n  ]);\n  if (fromExcludedPredefinedFunctions != null) {\n    common.setValueByPath(\n      toObject,\n      ['excludedPredefinedFunctions'],\n      fromExcludedPredefinedFunctions,\n    );\n  }\n\n  const fromEnablePromptInjectionDetection = common.getValueByPath(fromObject, [\n    'enablePromptInjectionDetection',\n  ]);\n  if (fromEnablePromptInjectionDetection != null) {\n    common.setValueByPath(\n      toObject,\n      ['enablePromptInjectionDetection'],\n      fromEnablePromptInjectionDetection,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['disabledSafetyPolicies']) !== undefined\n  ) {\n    throw new Error(\n      'disabledSafetyPolicies parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function contentToMldev(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function contentToVertex(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function createCachedContentConfigToMldev(\n  fromObject: types.CreateCachedContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTtl = common.getValueByPath(fromObject, ['ttl']);\n  if (parentObject !== undefined && fromTtl != null) {\n    common.setValueByPath(parentObject, ['ttl'], fromTtl);\n  }\n\n  const fromExpireTime = common.getValueByPath(fromObject, ['expireTime']);\n  if (parentObject !== undefined && fromExpireTime != null) {\n    common.setValueByPath(parentObject, ['expireTime'], fromExpireTime);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (parentObject !== undefined && fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToMldev(item);\n      });\n    }\n    common.setValueByPath(parentObject, ['contents'], transformedList);\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = fromTools;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(item);\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromToolConfig = common.getValueByPath(fromObject, ['toolConfig']);\n  if (parentObject !== undefined && fromToolConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['toolConfig'],\n      toolConfigToMldev(fromToolConfig),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['kmsKeyName']) !== undefined) {\n    throw new Error(\n      'kmsKeyName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function createCachedContentConfigToVertex(\n  fromObject: types.CreateCachedContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTtl = common.getValueByPath(fromObject, ['ttl']);\n  if (parentObject !== undefined && fromTtl != null) {\n    common.setValueByPath(parentObject, ['ttl'], fromTtl);\n  }\n\n  const fromExpireTime = common.getValueByPath(fromObject, ['expireTime']);\n  if (parentObject !== undefined && fromExpireTime != null) {\n    common.setValueByPath(parentObject, ['expireTime'], fromExpireTime);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (parentObject !== undefined && fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item);\n      });\n    }\n    common.setValueByPath(parentObject, ['contents'], transformedList);\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToVertex(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = fromTools;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToVertex(item);\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromToolConfig = common.getValueByPath(fromObject, ['toolConfig']);\n  if (parentObject !== undefined && fromToolConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['toolConfig'],\n      toolConfigToVertex(fromToolConfig),\n    );\n  }\n\n  const fromKmsKeyName = common.getValueByPath(fromObject, ['kmsKeyName']);\n  if (parentObject !== undefined && fromKmsKeyName != null) {\n    common.setValueByPath(\n      parentObject,\n      ['encryption_spec', 'kmsKeyName'],\n      fromKmsKeyName,\n    );\n  }\n\n  return toObject;\n}\n\nexport function createCachedContentParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['model'],\n      t.tCachesModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createCachedContentConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function createCachedContentParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.CreateCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['model'],\n      t.tCachesModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createCachedContentConfigToVertex(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function deleteCachedContentParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.DeleteCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteCachedContentParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.DeleteCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteCachedContentResponseFromMldev(\n  fromObject: types.DeleteCachedContentResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function deleteCachedContentResponseFromVertex(\n  fromObject: types.DeleteCachedContentResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function executableCodeToVertex(\n  fromObject: types.ExecutableCode,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCode = common.getValueByPath(fromObject, ['code']);\n  if (fromCode != null) {\n    common.setValueByPath(toObject, ['code'], fromCode);\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (fromLanguage != null) {\n    common.setValueByPath(toObject, ['language'], fromLanguage);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function fileDataToMldev(\n  fromObject: types.FileData,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileUri = common.getValueByPath(fromObject, ['fileUri']);\n  if (fromFileUri != null) {\n    common.setValueByPath(toObject, ['fileUri'], fromFileUri);\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function functionCallToMldev(\n  fromObject: types.FunctionCall,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromId = common.getValueByPath(fromObject, ['id']);\n  if (fromId != null) {\n    common.setValueByPath(toObject, ['id'], fromId);\n  }\n\n  const fromArgs = common.getValueByPath(fromObject, ['args']);\n  if (fromArgs != null) {\n    common.setValueByPath(toObject, ['args'], fromArgs);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  if (common.getValueByPath(fromObject, ['partialArgs']) !== undefined) {\n    throw new Error(\n      'partialArgs parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['willContinue']) !== undefined) {\n    throw new Error(\n      'willContinue parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function functionCallingConfigToMldev(\n  fromObject: types.FunctionCallingConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAllowedFunctionNames = common.getValueByPath(fromObject, [\n    'allowedFunctionNames',\n  ]);\n  if (fromAllowedFunctionNames != null) {\n    common.setValueByPath(\n      toObject,\n      ['allowedFunctionNames'],\n      fromAllowedFunctionNames,\n    );\n  }\n\n  const fromMode = common.getValueByPath(fromObject, ['mode']);\n  if (fromMode != null) {\n    common.setValueByPath(toObject, ['mode'], fromMode);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamFunctionCallArguments']) !==\n    undefined\n  ) {\n    throw new Error(\n      'streamFunctionCallArguments parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function getCachedContentParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GetCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function getCachedContentParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GetCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  return toObject;\n}\n\nexport function googleMapsToMldev(\n  fromObject: types.GoogleMaps,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAuthConfig = common.getValueByPath(fromObject, ['authConfig']);\n  if (fromAuthConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['authConfig'],\n      authConfigToMldev(fromAuthConfig),\n    );\n  }\n\n  const fromEnableWidget = common.getValueByPath(fromObject, ['enableWidget']);\n  if (fromEnableWidget != null) {\n    common.setValueByPath(toObject, ['enableWidget'], fromEnableWidget);\n  }\n\n  return toObject;\n}\n\nexport function googleSearchToMldev(\n  fromObject: types.GoogleSearch,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSearchTypes = common.getValueByPath(fromObject, ['searchTypes']);\n  if (fromSearchTypes != null) {\n    common.setValueByPath(toObject, ['searchTypes'], fromSearchTypes);\n  }\n\n  if (common.getValueByPath(fromObject, ['blockingConfidence']) !== undefined) {\n    throw new Error(\n      'blockingConfidence parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['excludeDomains']) !== undefined) {\n    throw new Error(\n      'excludeDomains parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTimeRangeFilter = common.getValueByPath(fromObject, [\n    'timeRangeFilter',\n  ]);\n  if (fromTimeRangeFilter != null) {\n    common.setValueByPath(toObject, ['timeRangeFilter'], fromTimeRangeFilter);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsConfigToMldev(\n  fromObject: types.ListCachedContentsConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsConfigToVertex(\n  fromObject: types.ListCachedContentsConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsParametersToMldev(\n  fromObject: types.ListCachedContentsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listCachedContentsConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsParametersToVertex(\n  fromObject: types.ListCachedContentsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listCachedContentsConfigToVertex(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsResponseFromMldev(\n  fromObject: types.ListCachedContentsResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromCachedContents = common.getValueByPath(fromObject, [\n    'cachedContents',\n  ]);\n  if (fromCachedContents != null) {\n    let transformedList = fromCachedContents;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['cachedContents'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function listCachedContentsResponseFromVertex(\n  fromObject: types.ListCachedContentsResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromCachedContents = common.getValueByPath(fromObject, [\n    'cachedContents',\n  ]);\n  if (fromCachedContents != null) {\n    let transformedList = fromCachedContents;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['cachedContents'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function mcpServerToVertex(\n  fromObject: types.McpServer,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['name']) !== undefined) {\n    throw new Error(\n      'name parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamableHttpTransport']) !== undefined\n  ) {\n    throw new Error(\n      'streamableHttpTransport parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function partToMldev(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      fromCodeExecutionResult,\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(toObject, ['executableCode'], fromExecutableCode);\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(\n      toObject,\n      ['fileData'],\n      fileDataToMldev(fromFileData),\n    );\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCall'],\n      functionCallToMldev(fromFunctionCall),\n    );\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(\n      toObject,\n      ['inlineData'],\n      blobToMldev(fromInlineData),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  const fromPartMetadata = common.getValueByPath(fromObject, ['partMetadata']);\n  if (fromPartMetadata != null) {\n    common.setValueByPath(toObject, ['partMetadata'], fromPartMetadata);\n  }\n\n  return toObject;\n}\n\nexport function partToVertex(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      codeExecutionResultToVertex(fromCodeExecutionResult),\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(\n      toObject,\n      ['executableCode'],\n      executableCodeToVertex(fromExecutableCode),\n    );\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(toObject, ['fileData'], fromFileData);\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(toObject, ['functionCall'], fromFunctionCall);\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(toObject, ['inlineData'], fromInlineData);\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  if (common.getValueByPath(fromObject, ['toolCall']) !== undefined) {\n    throw new Error(\n      'toolCall parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['toolResponse']) !== undefined) {\n    throw new Error(\n      'toolResponse parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['partMetadata']) !== undefined) {\n    throw new Error(\n      'partMetadata parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolConfigToMldev(\n  fromObject: types.ToolConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrievalConfig = common.getValueByPath(fromObject, [\n    'retrievalConfig',\n  ]);\n  if (fromRetrievalConfig != null) {\n    common.setValueByPath(toObject, ['retrievalConfig'], fromRetrievalConfig);\n  }\n\n  const fromFunctionCallingConfig = common.getValueByPath(fromObject, [\n    'functionCallingConfig',\n  ]);\n  if (fromFunctionCallingConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCallingConfig'],\n      functionCallingConfigToMldev(fromFunctionCallingConfig),\n    );\n  }\n\n  const fromIncludeServerSideToolInvocations = common.getValueByPath(\n    fromObject,\n    ['includeServerSideToolInvocations'],\n  );\n  if (fromIncludeServerSideToolInvocations != null) {\n    common.setValueByPath(\n      toObject,\n      ['includeServerSideToolInvocations'],\n      fromIncludeServerSideToolInvocations,\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolConfigToVertex(\n  fromObject: types.ToolConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrievalConfig = common.getValueByPath(fromObject, [\n    'retrievalConfig',\n  ]);\n  if (fromRetrievalConfig != null) {\n    common.setValueByPath(toObject, ['retrievalConfig'], fromRetrievalConfig);\n  }\n\n  const fromFunctionCallingConfig = common.getValueByPath(fromObject, [\n    'functionCallingConfig',\n  ]);\n  if (fromFunctionCallingConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCallingConfig'],\n      fromFunctionCallingConfig,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['includeServerSideToolInvocations']) !==\n    undefined\n  ) {\n    throw new Error(\n      'includeServerSideToolInvocations parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToMldev(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['retrieval']) !== undefined) {\n    throw new Error(\n      'retrieval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(toObject, ['computerUse'], fromComputerUse);\n  }\n\n  const fromFileSearch = common.getValueByPath(fromObject, ['fileSearch']);\n  if (fromFileSearch != null) {\n    common.setValueByPath(toObject, ['fileSearch'], fromFileSearch);\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearch'],\n      googleSearchToMldev(fromGoogleSearch),\n    );\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleMaps'],\n      googleMapsToMldev(fromGoogleMaps),\n    );\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enterpriseWebSearch']) !== undefined\n  ) {\n    throw new Error(\n      'enterpriseWebSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['parallelAiSearch']) !== undefined) {\n    throw new Error(\n      'parallelAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['exaAiSearch']) !== undefined) {\n    throw new Error(\n      'exaAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToVertex(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrieval = common.getValueByPath(fromObject, ['retrieval']);\n  if (fromRetrieval != null) {\n    common.setValueByPath(toObject, ['retrieval'], fromRetrieval);\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(\n      toObject,\n      ['computerUse'],\n      computerUseToVertex(fromComputerUse),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fileSearch']) !== undefined) {\n    throw new Error(\n      'fileSearch parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(toObject, ['googleSearch'], fromGoogleSearch);\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(toObject, ['googleMaps'], fromGoogleMaps);\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  const fromEnterpriseWebSearch = common.getValueByPath(fromObject, [\n    'enterpriseWebSearch',\n  ]);\n  if (fromEnterpriseWebSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['enterpriseWebSearch'],\n      fromEnterpriseWebSearch,\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  const fromParallelAiSearch = common.getValueByPath(fromObject, [\n    'parallelAiSearch',\n  ]);\n  if (fromParallelAiSearch != null) {\n    common.setValueByPath(toObject, ['parallelAiSearch'], fromParallelAiSearch);\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return mcpServerToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  const fromExaAiSearch = common.getValueByPath(fromObject, ['exaAiSearch']);\n  if (fromExaAiSearch != null) {\n    common.setValueByPath(toObject, ['exaAiSearch'], fromExaAiSearch);\n  }\n\n  return toObject;\n}\n\nexport function updateCachedContentConfigToMldev(\n  fromObject: types.UpdateCachedContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTtl = common.getValueByPath(fromObject, ['ttl']);\n  if (parentObject !== undefined && fromTtl != null) {\n    common.setValueByPath(parentObject, ['ttl'], fromTtl);\n  }\n\n  const fromExpireTime = common.getValueByPath(fromObject, ['expireTime']);\n  if (parentObject !== undefined && fromExpireTime != null) {\n    common.setValueByPath(parentObject, ['expireTime'], fromExpireTime);\n  }\n\n  return toObject;\n}\n\nexport function updateCachedContentConfigToVertex(\n  fromObject: types.UpdateCachedContentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTtl = common.getValueByPath(fromObject, ['ttl']);\n  if (parentObject !== undefined && fromTtl != null) {\n    common.setValueByPath(parentObject, ['ttl'], fromTtl);\n  }\n\n  const fromExpireTime = common.getValueByPath(fromObject, ['expireTime']);\n  if (parentObject !== undefined && fromExpireTime != null) {\n    common.setValueByPath(parentObject, ['expireTime'], fromExpireTime);\n  }\n\n  return toObject;\n}\n\nexport function updateCachedContentParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.UpdateCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    updateCachedContentConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function updateCachedContentParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.UpdateCachedContentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tCachedContentName(apiClient, fromName),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    updateCachedContentConfigToVertex(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_caches_converters.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Caches extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Lists cached contents.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of cached contents.\n   *\n   * @example\n   * ```ts\n   * const cachedContents = await ai.caches.list({config: {'pageSize': 2}});\n   * for await (const cachedContent of cachedContents) {\n   *   console.log(cachedContent);\n   * }\n   * ```\n   */\n  list = async (\n    params: types.ListCachedContentsParameters = {},\n  ): Promise<Pager<types.CachedContent>> => {\n    return new Pager<types.CachedContent>(\n      PagedItem.PAGED_ITEM_CACHED_CONTENTS,\n      (x: types.ListCachedContentsParameters) => this.listInternal(x),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Creates a cached contents resource.\n   *\n   * @remarks\n   * Context caching is only supported for specific models. See [Gemini\n   * Developer API reference](https://ai.google.dev/gemini-api/docs/caching?lang=node/context-cac)\n   * and [Gemini Enterprise Agent Platform reference](https://cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview#supported_models)\n   * for more information.\n   *\n   * @param params - The parameters for the create request.\n   * @return The created cached content.\n   *\n   * @example\n   * ```ts\n   * const contents = ...; // Initialize the content to cache.\n   * const response = await ai.caches.create({\n   *   model: 'gemini-2.0-flash-001',\n   *   config: {\n   *    'contents': contents,\n   *    'displayName': 'test cache',\n   *    'systemInstruction': 'What is the sum of the two pdfs?',\n   *    'ttl': '86400s',\n   *  }\n   * });\n   * ```\n   */\n  async create(\n    params: types.CreateCachedContentParameters,\n  ): Promise<types.CachedContent> {\n    let response: Promise<types.CachedContent>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.createCachedContentParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'cachedContents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    } else {\n      const body = converters.createCachedContentParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'cachedContents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    }\n  }\n\n  /**\n   * Gets cached content configurations.\n   *\n   * @param params - The parameters for the get request.\n   * @return The cached content.\n   *\n   * @example\n   * ```ts\n   * await ai.caches.get({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async get(\n    params: types.GetCachedContentParameters,\n  ): Promise<types.CachedContent> {\n    let response: Promise<types.CachedContent>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.getCachedContentParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    } else {\n      const body = converters.getCachedContentParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    }\n  }\n\n  /**\n   * Deletes cached content.\n   *\n   * @param params - The parameters for the delete request.\n   * @return The empty response returned by the API.\n   *\n   * @example\n   * ```ts\n   * await ai.caches.delete({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async delete(\n    params: types.DeleteCachedContentParameters,\n  ): Promise<types.DeleteCachedContentResponse> {\n    let response: Promise<types.DeleteCachedContentResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.deleteCachedContentParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteCachedContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteCachedContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.deleteCachedContentResponseFromVertex(apiResponse);\n        const typedResp = new types.DeleteCachedContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.deleteCachedContentParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteCachedContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteCachedContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.deleteCachedContentResponseFromMldev(apiResponse);\n        const typedResp = new types.DeleteCachedContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Updates cached content configurations.\n   *\n   * @param params - The parameters for the update request.\n   * @return The updated cached content.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.caches.update({\n   *   name: '...',  // The server-generated resource name.\n   *   config: {'ttl': '7600s'}\n   * });\n   * ```\n   */\n  async update(\n    params: types.UpdateCachedContentParameters,\n  ): Promise<types.CachedContent> {\n    let response: Promise<types.CachedContent>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.updateCachedContentParametersToVertex(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'PATCH',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    } else {\n      const body = converters.updateCachedContentParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'PATCH',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CachedContent>;\n\n      return response.then((resp) => {\n        return resp as types.CachedContent;\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListCachedContentsParameters,\n  ): Promise<types.ListCachedContentsResponse> {\n    let response: Promise<types.ListCachedContentsResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.listCachedContentsParametersToVertex(params);\n      path = common.formatMap(\n        'cachedContents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListCachedContentsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListCachedContentsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.listCachedContentsResponseFromVertex(apiResponse);\n        const typedResp = new types.ListCachedContentsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.listCachedContentsParametersToMldev(params);\n      path = common.formatMap(\n        'cachedContents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListCachedContentsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListCachedContentsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.listCachedContentsResponseFromMldev(apiResponse);\n        const typedResp = new types.ListCachedContentsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {ApiClient} from './_api_client.js';\nimport * as t from './_transformers.js';\nimport {Models} from './models.js';\nimport * as types from './types.js';\n\n/**\n * Returns true if the response is valid, false otherwise.\n */\nfunction isValidResponse(response: types.GenerateContentResponse): boolean {\n  if (response.candidates == undefined || response.candidates.length === 0) {\n    return false;\n  }\n  const content = response.candidates[0]?.content;\n  if (content === undefined) {\n    return false;\n  }\n  return isValidContent(content);\n}\n\nfunction isValidContent(content: types.Content): boolean {\n  if (content.parts === undefined || content.parts.length === 0) {\n    return false;\n  }\n  for (const part of content.parts) {\n    if (part === undefined || Object.keys(part).length === 0) {\n      return false;\n    }\n  }\n  return true;\n}\n\n/**\n * Validates the history contains the correct roles.\n *\n * @throws Error if the history does not start with a user turn.\n * @throws Error if the history contains an invalid role.\n */\nfunction validateHistory(history: types.Content[]) {\n  // Empty history is valid.\n  if (history.length === 0) {\n    return;\n  }\n  for (const content of history) {\n    if (content.role !== 'user' && content.role !== 'model') {\n      throw new Error(`Role must be user or model, but got ${content.role}.`);\n    }\n  }\n}\n\n/**\n * Extracts the curated (valid) history from a comprehensive history.\n *\n * @remarks\n * The model may sometimes generate invalid or empty contents(e.g., due to safty\n * filters or recitation). Extracting valid turns from the history\n * ensures that subsequent requests could be accpeted by the model.\n */\nfunction extractCuratedHistory(\n  comprehensiveHistory: types.Content[],\n): types.Content[] {\n  if (comprehensiveHistory === undefined || comprehensiveHistory.length === 0) {\n    return [];\n  }\n  const curatedHistory: types.Content[] = [];\n  const length = comprehensiveHistory.length;\n  let i = 0;\n  while (i < length) {\n    if (comprehensiveHistory[i].role === 'user') {\n      curatedHistory.push(comprehensiveHistory[i]);\n      i++;\n    } else {\n      const modelOutput: types.Content[] = [];\n      let isValid = true;\n      while (i < length && comprehensiveHistory[i].role === 'model') {\n        modelOutput.push(comprehensiveHistory[i]);\n        if (isValid && !isValidContent(comprehensiveHistory[i])) {\n          isValid = false;\n        }\n        i++;\n      }\n      if (isValid) {\n        curatedHistory.push(...modelOutput);\n      } else {\n        // Remove the last user input when model content is invalid.\n        curatedHistory.pop();\n      }\n    }\n  }\n  return curatedHistory;\n}\n\n/**\n * A utility class to create a chat session.\n */\nexport class Chats {\n  private readonly modelsModule: Models;\n  private readonly apiClient: ApiClient;\n\n  constructor(modelsModule: Models, apiClient: ApiClient) {\n    this.modelsModule = modelsModule;\n    this.apiClient = apiClient;\n  }\n\n  /**\n   * Creates a new chat session.\n   *\n   * @remarks\n   * The config in the params will be used for all requests within the chat\n   * session unless overridden by a per-request `config` in\n   * @see {@link types.SendMessageParameters#config}.\n   *\n   * @param params - Parameters for creating a chat session.\n   * @returns A new chat session.\n   *\n   * @example\n   * ```ts\n   * const chat = ai.chats.create({\n   *   model: 'gemini-2.0-flash'\n   *   config: {\n   *     temperature: 0.5,\n   *     maxOutputTokens: 1024,\n   *   }\n   * });\n   * ```\n   */\n  create(params: types.CreateChatParameters) {\n    return new Chat(\n      this.apiClient,\n      this.modelsModule,\n      params.model,\n      params.config,\n      // Deep copy the history to avoid mutating the history outside of the\n      // chat session.\n      structuredClone(params.history),\n    );\n  }\n}\n\n/**\n * Chat session that enables sending messages to the model with previous\n * conversation context.\n *\n * @remarks\n * The session maintains all the turns between user and model.\n */\nexport class Chat {\n  // A promise to represent the current state of the message being sent to the\n  // model.\n  private sendPromise: Promise<void> = Promise.resolve();\n\n  constructor(\n    private readonly apiClient: ApiClient,\n    private readonly modelsModule: Models,\n    private readonly model: string,\n    private readonly config: types.GenerateContentConfig = {},\n    private history: types.Content[] = [],\n  ) {\n    validateHistory(history);\n  }\n\n  /**\n   * Sends a message to the model and returns the response.\n   *\n   * @remarks\n   * This method will wait for the previous message to be processed before\n   * sending the next message.\n   *\n   * @see {@link Chat#sendMessageStream} for streaming method.\n   * @param params - parameters for sending messages within a chat session.\n   * @returns The model's response.\n   *\n   * @example\n   * ```ts\n   * const chat = ai.chats.create({model: 'gemini-2.0-flash'});\n   * const response = await chat.sendMessage({\n   *   message: 'Why is the sky blue?'\n   * });\n   * console.log(response.text);\n   * ```\n   */\n  async sendMessage(\n    params: types.SendMessageParameters,\n  ): Promise<types.GenerateContentResponse> {\n    await this.sendPromise;\n    const inputContent = t.tContent(params.message);\n    const responsePromise = this.modelsModule.generateContent({\n      model: this.model,\n      contents: this.getHistory(true).concat(inputContent),\n      config: params.config ?? this.config,\n    });\n    this.sendPromise = (async () => {\n      const response = await responsePromise;\n      const outputContent = response.candidates?.[0]?.content;\n\n      // Because the AFC input contains the entire curated chat history in\n      // addition to the new user input, we need to truncate the AFC history\n      // to deduplicate the existing chat history.\n      const fullAutomaticFunctionCallingHistory =\n        response.automaticFunctionCallingHistory;\n      const index = this.getHistory(true).length;\n\n      let automaticFunctionCallingHistory: types.Content[] = [];\n      if (fullAutomaticFunctionCallingHistory != null) {\n        automaticFunctionCallingHistory =\n          fullAutomaticFunctionCallingHistory.slice(index) ?? [];\n      }\n\n      const modelOutput = outputContent ? [outputContent] : [];\n      this.recordHistory(\n        inputContent,\n        modelOutput,\n        automaticFunctionCallingHistory,\n      );\n      return;\n    })();\n    await this.sendPromise.catch(() => {\n      // Resets sendPromise to avoid subsequent calls failing\n      this.sendPromise = Promise.resolve();\n    });\n    return responsePromise;\n  }\n\n  /**\n   * Sends a message to the model and returns the response in chunks.\n   *\n   * @remarks\n   * This method will wait for the previous message to be processed before\n   * sending the next message.\n   *\n   * @see {@link Chat#sendMessage} for non-streaming method.\n   * @param params - parameters for sending the message.\n   * @return The model's response.\n   *\n   * @example\n   * ```ts\n   * const chat = ai.chats.create({model: 'gemini-2.0-flash'});\n   * const response = await chat.sendMessageStream({\n   *   message: 'Why is the sky blue?'\n   * });\n   * for await (const chunk of response) {\n   *   console.log(chunk.text);\n   * }\n   * ```\n   */\n  async sendMessageStream(\n    params: types.SendMessageParameters,\n  ): Promise<AsyncGenerator<types.GenerateContentResponse>> {\n    await this.sendPromise;\n    const inputContent = t.tContent(params.message);\n    const streamResponse = this.modelsModule.generateContentStream({\n      model: this.model,\n      contents: this.getHistory(true).concat(inputContent),\n      config: params.config ?? this.config,\n    });\n    // Resolve the internal tracking of send completion promise - `sendPromise`\n    // for both success and failure response. The actual failure is still\n    // propagated by the `await streamResponse`.\n    this.sendPromise = streamResponse\n      .then(() => undefined)\n      .catch(() => undefined);\n    const response = await streamResponse;\n    const result = this.processStreamResponse(response, inputContent);\n    return result;\n  }\n\n  /**\n   * Returns the chat history.\n   *\n   * @remarks\n   * The history is a list of contents alternating between user and model.\n   *\n   * There are two types of history:\n   * - The `curated history` contains only the valid turns between user and\n   * model, which will be included in the subsequent requests sent to the model.\n   * - The `comprehensive history` contains all turns, including invalid or\n   *   empty model outputs, providing a complete record of the history.\n   *\n   * The history is updated after receiving the response from the model,\n   * for streaming response, it means receiving the last chunk of the response.\n   *\n   * The `comprehensive history` is returned by default. To get the `curated\n   * history`, set the `curated` parameter to `true`.\n   *\n   * @param curated - whether to return the curated history or the comprehensive\n   *     history.\n   * @return History contents alternating between user and model for the entire\n   *     chat session.\n   */\n  getHistory(curated: boolean = false): types.Content[] {\n    const history = curated\n      ? extractCuratedHistory(this.history)\n      : this.history;\n    // Deep copy the history to avoid mutating the history outside of the\n    // chat session.\n    return structuredClone(history);\n  }\n\n  private async *processStreamResponse(\n    streamResponse: AsyncGenerator<types.GenerateContentResponse>,\n    inputContent: types.Content,\n  ) {\n    const outputContent: types.Content[] = [];\n    for await (const chunk of streamResponse) {\n      if (isValidResponse(chunk)) {\n        const content = chunk.candidates?.[0]?.content;\n        if (content !== undefined) {\n          outputContent.push(content);\n        }\n      }\n      yield chunk;\n    }\n    this.recordHistory(inputContent, outputContent);\n  }\n\n  private recordHistory(\n    userInput: types.Content,\n    modelOutput: types.Content[],\n    automaticFunctionCallingHistory?: types.Content[],\n  ) {\n    let outputContents: types.Content[] = [];\n    if (\n      modelOutput.length > 0 &&\n      modelOutput.every((content) => content.role !== undefined)\n    ) {\n      outputContents = modelOutput;\n    } else {\n      // Appends an empty content when model returns empty response, so that the\n      // history is always alternating between user and model.\n      outputContents.push({\n        role: 'model',\n        parts: [],\n      } as types.Content);\n    }\n    if (\n      automaticFunctionCallingHistory &&\n      automaticFunctionCallingHistory.length > 0\n    ) {\n      this.history.push(\n        ...extractCuratedHistory(automaticFunctionCallingHistory!),\n      );\n    } else {\n      this.history.push(userInput);\n    }\n    this.history.push(...outputContents);\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function createFileSearchStoreConfigToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateFileSearchStoreConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromEmbeddingModel = common.getValueByPath(fromObject, [\n    'embeddingModel',\n  ]);\n  if (parentObject !== undefined && fromEmbeddingModel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['embeddingModel'],\n      t.tModel(apiClient, fromEmbeddingModel),\n    );\n  }\n\n  return toObject;\n}\n\nexport function createFileSearchStoreParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateFileSearchStoreParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createFileSearchStoreConfigToMldev(apiClient, fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function deleteFileSearchStoreConfigToMldev(\n  fromObject: types.DeleteFileSearchStoreConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromForce = common.getValueByPath(fromObject, ['force']);\n  if (parentObject !== undefined && fromForce != null) {\n    common.setValueByPath(parentObject, ['_query', 'force'], fromForce);\n  }\n\n  return toObject;\n}\n\nexport function deleteFileSearchStoreParametersToMldev(\n  fromObject: types.DeleteFileSearchStoreParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    deleteFileSearchStoreConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function getFileSearchStoreParametersToMldev(\n  fromObject: types.GetFileSearchStoreParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function importFileConfigToMldev(\n  fromObject: types.ImportFileConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCustomMetadata = common.getValueByPath(fromObject, [\n    'customMetadata',\n  ]);\n  if (parentObject !== undefined && fromCustomMetadata != null) {\n    let transformedList = fromCustomMetadata;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(parentObject, ['customMetadata'], transformedList);\n  }\n\n  const fromChunkingConfig = common.getValueByPath(fromObject, [\n    'chunkingConfig',\n  ]);\n  if (parentObject !== undefined && fromChunkingConfig != null) {\n    common.setValueByPath(parentObject, ['chunkingConfig'], fromChunkingConfig);\n  }\n\n  return toObject;\n}\n\nexport function importFileOperationFromMldev(\n  fromObject: types.ImportFileOperation,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      importFileResponseFromMldev(fromResponse),\n    );\n  }\n\n  return toObject;\n}\n\nexport function importFileParametersToMldev(\n  fromObject: types.ImportFileParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFileSearchStoreName = common.getValueByPath(fromObject, [\n    'fileSearchStoreName',\n  ]);\n  if (fromFileSearchStoreName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'file_search_store_name'],\n      fromFileSearchStoreName,\n    );\n  }\n\n  const fromFileName = common.getValueByPath(fromObject, ['fileName']);\n  if (fromFileName != null) {\n    common.setValueByPath(toObject, ['fileName'], fromFileName);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    importFileConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function importFileResponseFromMldev(\n  fromObject: types.ImportFileResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromParent = common.getValueByPath(fromObject, ['parent']);\n  if (fromParent != null) {\n    common.setValueByPath(toObject, ['parent'], fromParent);\n  }\n\n  const fromDocumentName = common.getValueByPath(fromObject, ['documentName']);\n  if (fromDocumentName != null) {\n    common.setValueByPath(toObject, ['documentName'], fromDocumentName);\n  }\n\n  return toObject;\n}\n\nexport function listFileSearchStoresConfigToMldev(\n  fromObject: types.ListFileSearchStoresConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  return toObject;\n}\n\nexport function listFileSearchStoresParametersToMldev(\n  fromObject: types.ListFileSearchStoresParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listFileSearchStoresConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listFileSearchStoresResponseFromMldev(\n  fromObject: types.ListFileSearchStoresResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromFileSearchStores = common.getValueByPath(fromObject, [\n    'fileSearchStores',\n  ]);\n  if (fromFileSearchStores != null) {\n    let transformedList = fromFileSearchStores;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['fileSearchStores'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function uploadToFileSearchStoreConfigToMldev(\n  fromObject: types.UploadToFileSearchStoreConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (parentObject !== undefined && fromMimeType != null) {\n    common.setValueByPath(parentObject, ['mimeType'], fromMimeType);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromCustomMetadata = common.getValueByPath(fromObject, [\n    'customMetadata',\n  ]);\n  if (parentObject !== undefined && fromCustomMetadata != null) {\n    let transformedList = fromCustomMetadata;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(parentObject, ['customMetadata'], transformedList);\n  }\n\n  const fromChunkingConfig = common.getValueByPath(fromObject, [\n    'chunkingConfig',\n  ]);\n  if (parentObject !== undefined && fromChunkingConfig != null) {\n    common.setValueByPath(parentObject, ['chunkingConfig'], fromChunkingConfig);\n  }\n\n  return toObject;\n}\n\nexport function uploadToFileSearchStoreParametersToMldev(\n  fromObject: types.UploadToFileSearchStoreParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFileSearchStoreName = common.getValueByPath(fromObject, [\n    'fileSearchStoreName',\n  ]);\n  if (fromFileSearchStoreName != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'file_search_store_name'],\n      fromFileSearchStoreName,\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    uploadToFileSearchStoreConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function uploadToFileSearchStoreResumableResponseFromMldev(\n  fromObject: types.UploadToFileSearchStoreResumableResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n/**\n * Details for errors from calling the API.\n */\nexport interface ApiErrorInfo {\n  /** The error message. */\n  message: string;\n  /** The HTTP status code. */\n  status: number;\n}\n\n/**\n * API errors raised by the GenAI API.\n */\nexport class ApiError extends Error {\n  /** HTTP status code */\n  status: number;\n\n  constructor(options: ApiErrorInfo) {\n    super(options.message);\n    this.name = 'ApiError';\n    this.status = options.status;\n    Object.setPrototypeOf(this, ApiError.prototype);\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport pRetry, {AbortError} from 'p-retry';\nimport {Auth} from './_auth.js';\nimport * as common from './_common.js';\nimport {Downloader} from './_downloader.js';\nimport {Uploader} from './_uploader.js';\nimport {uploadToFileSearchStoreConfigToMldev} from './converters/_filesearchstores_converters.js';\nimport {ApiError} from './errors.js';\nimport * as types from './types.js';\n\nconst CONTENT_TYPE_HEADER = 'Content-Type';\nconst SERVER_TIMEOUT_HEADER = 'X-Server-Timeout';\nconst USER_AGENT_HEADER = 'User-Agent';\nexport const GOOGLE_API_CLIENT_HEADER = 'x-goog-api-client';\nexport const SDK_VERSION = '2.11.0'; // x-release-please-version\nconst LIBRARY_LABEL = `google-genai-sdk/${SDK_VERSION}`;\nconst VERTEX_AI_API_DEFAULT_VERSION = 'v1beta1';\nconst GOOGLE_AI_API_DEFAULT_VERSION = 'v1beta';\n\nconst MULTI_REGIONAL_LOCATIONS = new Set<string>(['us', 'eu']);\n\n/**\n * Partial definiion of the NodeJS.Timeout.\n * https://nodejs.org/api/timers.html#timeoutunref\n *\n * Importing the full nodejs typings rewrites setTimeout / clearTimeout\n * signatures on web builds. This causes compile errors in code that stores the\n * timeout handle in an explicitly typed variable. E.g.:\n * ```\n * let timeoutHandle = 0;\n * timeoutHandle = setTimeout(() => {}, 1000);\n * ```\n */\ndeclare interface NodeJSTimeout {\n  unref(): this;\n}\n\n// Default retry options.\n// The config is based on https://cloud.google.com/storage/docs/retry-strategy.\nconst DEFAULT_RETRY_ATTEMPTS = 5; // Including the initial call\n// LINT.IfChange\nconst DEFAULT_RETRY_HTTP_STATUS_CODES = [\n  408, // Request timeout\n  429, // Too many requests\n  500, // Internal server error\n  502, // Bad gateway\n  503, // Service unavailable\n  504, // Gateway timeout\n];\n// LINT.ThenChange(//depot/google3/third_party/py/google/genai/_api_client.py)\n\n/**\n * Options for initializing the ApiClient. The ApiClient uses the parameters\n * for authentication purposes as well as to infer if SDK should send the\n * request to Vertex AI or Gemini API.\n */\nexport interface ApiClientInitOptions {\n  /**\n   * The object used for adding authentication headers to API requests.\n   */\n  auth: Auth;\n  /**\n   * The uploader to use for uploading files. This field is required for\n   * creating a client, will be set through the Node_client or Web_client.\n   */\n  uploader: Uploader;\n  /**\n   * Optional. The downloader to use for downloading files. This field is\n   * required for creating a client, will be set through the Node_client or\n   * Web_client.\n   */\n  downloader: Downloader;\n  /**\n   * Optional. The Google Cloud project ID for Vertex AI users.\n   * It is not the numeric project name.\n   * If not provided, SDK will try to resolve it from runtime environment.\n   */\n  project?: string;\n  /**\n   * Optional. The Google Cloud project location for Vertex AI users.\n   * If not provided, SDK will try to resolve it from runtime environment.\n   */\n  location?: string;\n  /**\n   * The API Key. This is required for Gemini API users.\n   */\n  apiKey?: string;\n  /**\n   * Optional. Set to true if you intend to call Vertex AI endpoints.\n   * If unset, default SDK behavior is to call Gemini API.\n   */\n  vertexai?: boolean;\n  /**\n   * Optional. The API version for the endpoint.\n   * If unset, SDK will choose a default api version.\n   */\n  apiVersion?: string;\n  /**\n   * Optional. A set of customizable configuration for HTTP requests.\n   */\n  httpOptions?: types.HttpOptions;\n  /**\n   * Optional. An extra string to append at the end of the User-Agent header.\n   *\n   * This can be used to e.g specify the runtime and its version.\n   */\n  userAgentExtra?: string;\n}\n\n/**\n * Represents the necessary information to send a request to an API endpoint.\n * This interface defines the structure for constructing and executing HTTP\n * requests.\n */\nexport interface HttpRequest {\n  /**\n   * URL path from the modules, this path is appended to the base API URL to\n   * form the complete request URL.\n   *\n   * If you wish to set full URL, use httpOptions.baseUrl instead. Example to\n   * set full URL in the request:\n   *\n   * const request: HttpRequest = {\n   *   path: '',\n   *   httpOptions: {\n   *     baseUrl: 'https://<custom-full-url>',\n   *     apiVersion: '',\n   *   },\n   *   httpMethod: 'GET',\n   * };\n   *\n   * The result URL will be: https://<custom-full-url>\n   *\n   */\n  path: string;\n  /**\n   * Optional query parameters to be appended to the request URL.\n   */\n  queryParams?: Record<string, string>;\n  /**\n   * Optional request body in json string or Blob format, GET request doesn't\n   * need a request body.\n   */\n  body?: string | Blob;\n  /**\n   * The HTTP method to be used for the request.\n   */\n  httpMethod: 'GET' | 'POST' | 'PATCH' | 'DELETE';\n  /**\n   * Optional set of customizable configuration for HTTP requests.\n   */\n  httpOptions?: types.HttpOptions;\n  /**\n   * Optional abort signal which can be used to cancel the request.\n   */\n  abortSignal?: AbortSignal;\n}\n\n/**\n * The ApiClient class is used to send requests to the Gemini API or Vertex AI\n * endpoints.\n *\n * WARNING: This is an internal API and may change without notice. Direct usage\n * is not supported and may break your application.\n */\nexport class ApiClient {\n  readonly clientOptions: ApiClientInitOptions;\n  private readonly customBaseUrl?: string;\n  constructor(opts: ApiClientInitOptions) {\n    this.clientOptions = {\n      ...opts,\n    };\n\n    this.customBaseUrl = opts.httpOptions?.baseUrl;\n\n    if (this.clientOptions.vertexai) {\n      if (this.clientOptions.project && this.clientOptions.location) {\n        this.clientOptions.apiKey = undefined;\n      } else if (this.clientOptions.apiKey) {\n        this.clientOptions.project = undefined;\n        this.clientOptions.location = undefined;\n      }\n    }\n\n    const initHttpOptions: types.HttpOptions = {};\n\n    if (this.clientOptions.vertexai) {\n      if (\n        !this.clientOptions.location &&\n        !this.clientOptions.apiKey &&\n        !this.customBaseUrl\n      ) {\n        this.clientOptions.location = 'global';\n      }\n\n      const hasSufficientAuth =\n        (this.clientOptions.project && this.clientOptions.location) ||\n        this.clientOptions.apiKey;\n\n      if (!hasSufficientAuth && !this.customBaseUrl) {\n        throw new Error(\n          'Authentication is not set up. Please provide either a project and location, or an API key, or a custom base URL.',\n        );\n      }\n\n      const hasConstructorAuth =\n        (opts.project && opts.location) || !!opts.apiKey;\n\n      if (this.customBaseUrl && !hasConstructorAuth) {\n        initHttpOptions.baseUrl = this.customBaseUrl;\n        this.clientOptions.project = undefined;\n        this.clientOptions.location = undefined;\n      } else if (\n        this.clientOptions.apiKey ||\n        this.clientOptions.location === 'global'\n      ) {\n        // Vertex Express or global endpoint case.\n        initHttpOptions.baseUrl = 'https://aiplatform.googleapis.com/';\n      } else if (\n        this.clientOptions.project &&\n        this.clientOptions.location &&\n        MULTI_REGIONAL_LOCATIONS.has(this.clientOptions.location)\n      ) {\n        initHttpOptions.baseUrl = `https://aiplatform.${this.clientOptions.location}.rep.googleapis.com/`;\n      } else if (this.clientOptions.project && this.clientOptions.location) {\n        initHttpOptions.baseUrl = `https://${this.clientOptions.location}-aiplatform.googleapis.com/`;\n      }\n\n      initHttpOptions.apiVersion =\n        this.clientOptions.apiVersion ?? VERTEX_AI_API_DEFAULT_VERSION;\n    } else {\n      // Gemini API\n      if (!this.clientOptions.apiKey) {\n        console.warn('API key should be set when using the Gemini API.');\n      }\n      initHttpOptions.apiVersion =\n        this.clientOptions.apiVersion ?? GOOGLE_AI_API_DEFAULT_VERSION;\n      initHttpOptions.baseUrl = `https://generativelanguage.googleapis.com/`;\n    }\n\n    initHttpOptions.headers = this.getDefaultHeaders();\n\n    this.clientOptions.httpOptions = initHttpOptions;\n\n    if (opts.httpOptions) {\n      this.clientOptions.httpOptions = this.patchHttpOptions(\n        initHttpOptions,\n        opts.httpOptions,\n      );\n    }\n  }\n\n  isVertexAI(): boolean {\n    return this.clientOptions.vertexai ?? false;\n  }\n\n  getProject() {\n    return this.clientOptions.project;\n  }\n\n  getLocation() {\n    return this.clientOptions.location;\n  }\n\n  getCustomBaseUrl(): string | undefined {\n    return this.customBaseUrl;\n  }\n\n  async getAuthHeaders(): Promise<Headers> {\n    const headers = new Headers();\n    await this.clientOptions.auth.addAuthHeaders(headers);\n    return headers;\n  }\n\n  getApiVersion() {\n    if (\n      this.clientOptions.httpOptions &&\n      this.clientOptions.httpOptions.apiVersion !== undefined\n    ) {\n      return this.clientOptions.httpOptions.apiVersion;\n    }\n    throw new Error('API version is not set.');\n  }\n\n  getBaseUrl() {\n    if (\n      this.clientOptions.httpOptions &&\n      this.clientOptions.httpOptions.baseUrl !== undefined\n    ) {\n      return this.clientOptions.httpOptions.baseUrl;\n    }\n    throw new Error('Base URL is not set.');\n  }\n\n  getRequestUrl() {\n    return this.getRequestUrlInternal(this.clientOptions.httpOptions);\n  }\n\n  getHeaders() {\n    if (\n      this.clientOptions.httpOptions &&\n      this.clientOptions.httpOptions.headers !== undefined\n    ) {\n      return this.clientOptions.httpOptions.headers;\n    } else {\n      throw new Error('Headers are not set.');\n    }\n  }\n\n  private getRequestUrlInternal(httpOptions?: types.HttpOptions) {\n    if (\n      !httpOptions ||\n      httpOptions.baseUrl === undefined ||\n      httpOptions.apiVersion === undefined\n    ) {\n      throw new Error('HTTP options are not correctly set.');\n    }\n    const baseUrl = httpOptions.baseUrl.endsWith('/')\n      ? httpOptions.baseUrl.slice(0, -1)\n      : httpOptions.baseUrl;\n    const urlElement: Array<string> = [baseUrl];\n    if (httpOptions.apiVersion && httpOptions.apiVersion !== '') {\n      urlElement.push(httpOptions.apiVersion);\n    }\n    return urlElement.join('/');\n  }\n\n  getBaseResourcePath() {\n    return `projects/${this.clientOptions.project}/locations/${\n      this.clientOptions.location\n    }`;\n  }\n\n  getApiKey() {\n    return this.clientOptions.apiKey;\n  }\n\n  getWebsocketBaseUrl() {\n    const baseUrl = this.getBaseUrl();\n    const urlParts = new URL(baseUrl);\n    urlParts.protocol = urlParts.protocol == 'http:' ? 'ws' : 'wss';\n    return urlParts.toString();\n  }\n\n  setBaseUrl(url: string) {\n    if (this.clientOptions.httpOptions) {\n      this.clientOptions.httpOptions.baseUrl = url;\n    } else {\n      throw new Error('HTTP options are not correctly set.');\n    }\n  }\n\n  private constructUrl(\n    path: string,\n    httpOptions: types.HttpOptions,\n    prependProjectLocation: boolean,\n  ): URL {\n    const urlElement: Array<string> = [this.getRequestUrlInternal(httpOptions)];\n    if (prependProjectLocation) {\n      urlElement.push(this.getBaseResourcePath());\n    }\n    if (path !== '') {\n      urlElement.push(path);\n    }\n    const url = new URL(`${urlElement.join('/')}`);\n\n    return url;\n  }\n\n  private shouldPrependVertexProjectPath(\n    request: HttpRequest,\n    httpOptions: types.HttpOptions,\n  ): boolean {\n    if (\n      httpOptions.baseUrl &&\n      httpOptions.baseUrlResourceScope === types.ResourceScope.COLLECTION\n    ) {\n      return false;\n    }\n    if (this.clientOptions.apiKey) {\n      return false;\n    }\n    if (!this.clientOptions.vertexai) {\n      return false;\n    }\n    if (request.path.startsWith('projects/')) {\n      // Assume the path already starts with\n      // `projects/<project>/location/<location>`.\n      return false;\n    }\n    if (\n      request.httpMethod === 'GET' &&\n      request.path.startsWith('publishers/google/models')\n    ) {\n      // These paths are used by Vertex's models.get and models.list\n      // calls. For base models Vertex does not accept a project/location\n      // prefix (for tuned model the prefix is required).\n      return false;\n    }\n    return true;\n  }\n\n  async request(request: HttpRequest): Promise<types.HttpResponse> {\n    let patchedHttpOptions = this.clientOptions.httpOptions!;\n    if (request.httpOptions) {\n      patchedHttpOptions = this.patchHttpOptions(\n        this.clientOptions.httpOptions!,\n        request.httpOptions,\n      );\n    }\n\n    const prependProjectLocation = this.shouldPrependVertexProjectPath(\n      request,\n      patchedHttpOptions,\n    );\n    const url = this.constructUrl(\n      request.path,\n      patchedHttpOptions,\n      prependProjectLocation,\n    );\n    if (request.queryParams) {\n      for (const [key, value] of Object.entries(request.queryParams)) {\n        url.searchParams.append(key, String(value));\n      }\n    }\n    let requestInit: RequestInit = {};\n    if (request.httpMethod === 'GET') {\n      if (request.body && request.body !== '{}') {\n        throw new Error(\n          'Request body should be empty for GET request, but got non empty request body',\n        );\n      }\n    } else {\n      requestInit.body = request.body;\n    }\n    requestInit = await this.includeExtraHttpOptionsToRequestInit(\n      requestInit,\n      patchedHttpOptions,\n      url.toString(),\n      request.abortSignal,\n    );\n    return this.unaryApiCall(url, requestInit, request.httpMethod);\n  }\n\n  private patchHttpOptions(\n    baseHttpOptions: types.HttpOptions,\n    requestHttpOptions: types.HttpOptions,\n  ): types.HttpOptions {\n    const patchedHttpOptions = JSON.parse(\n      JSON.stringify(baseHttpOptions),\n    ) as types.HttpOptions;\n\n    for (const [key, value] of Object.entries(requestHttpOptions)) {\n      // Records compile to objects.\n      if (typeof value === 'object') {\n        // @ts-expect-error TS2345TS7053: Element implicitly has an 'any' type\n        // because expression of type 'string' can't be used to index type\n        // 'HttpOptions'.\n        patchedHttpOptions[key] = {...patchedHttpOptions[key], ...value};\n      } else if (value !== undefined) {\n        // @ts-expect-error TS2345TS7053: Element implicitly has an 'any' type\n        // because expression of type 'string' can't be used to index type\n        // 'HttpOptions'.\n        patchedHttpOptions[key] = value;\n      }\n    }\n    return patchedHttpOptions;\n  }\n\n  async requestStream(\n    request: HttpRequest,\n  ): Promise<AsyncGenerator<types.HttpResponse>> {\n    let patchedHttpOptions = this.clientOptions.httpOptions!;\n    if (request.httpOptions) {\n      patchedHttpOptions = this.patchHttpOptions(\n        this.clientOptions.httpOptions!,\n        request.httpOptions,\n      );\n    }\n\n    const prependProjectLocation = this.shouldPrependVertexProjectPath(\n      request,\n      patchedHttpOptions,\n    );\n    const url = this.constructUrl(\n      request.path,\n      patchedHttpOptions,\n      prependProjectLocation,\n    );\n    if (!url.searchParams.has('alt') || url.searchParams.get('alt') !== 'sse') {\n      url.searchParams.set('alt', 'sse');\n    }\n    let requestInit: RequestInit = {};\n    requestInit.body = request.body;\n    requestInit = await this.includeExtraHttpOptionsToRequestInit(\n      requestInit,\n      patchedHttpOptions,\n      url.toString(),\n      request.abortSignal,\n    );\n    return this.streamApiCall(url, requestInit, request.httpMethod);\n  }\n\n  private async includeExtraHttpOptionsToRequestInit(\n    requestInit: RequestInit,\n    httpOptions: types.HttpOptions,\n    url: string,\n    abortSignal?: AbortSignal,\n  ): Promise<RequestInit> {\n    if ((httpOptions && httpOptions.timeout) || abortSignal) {\n      const abortController = new AbortController();\n      const signal = abortController.signal;\n      if (httpOptions.timeout && httpOptions?.timeout > 0) {\n        // In Node > 18, the built-in fetch is backed by Undici. Undici sets a global\n        // dispatcher on the global scope which tracks its internal headersTimeout and\n        // bodyTimeout using Symbol properties.\n        const dispatcherSymbol = Symbol.for('undici.globalDispatcher.1');\n        const globalDispatcher = (globalThis as Record<symbol, unknown>)[\n          dispatcherSymbol\n        ] as Record<symbol, unknown> | undefined;\n\n        if (globalDispatcher) {\n          const symbols = Object.getOwnPropertySymbols(globalDispatcher);\n          for (const sym of symbols) {\n            const desc = sym.description;\n            if (\n              desc?.includes('headers timeout') ||\n              desc?.includes('body timeout')\n            ) {\n              const currentTimeout = globalDispatcher[sym];\n              if (typeof currentTimeout === 'number') {\n                globalDispatcher[sym] = Math.max(\n                  currentTimeout,\n                  httpOptions.timeout,\n                );\n              }\n            }\n          }\n        }\n\n        const timeoutHandle = setTimeout(\n          () => abortController.abort(),\n          httpOptions.timeout,\n        );\n        if (\n          timeoutHandle &&\n          typeof (timeoutHandle as unknown as NodeJSTimeout).unref ===\n            'function'\n        ) {\n          // call unref to prevent nodejs process from hanging, see\n          // https://nodejs.org/api/timers.html#timeoutunref\n          (timeoutHandle as unknown as NodeJSTimeout).unref();\n        }\n      }\n      if (abortSignal) {\n        abortSignal.addEventListener('abort', () => {\n          abortController.abort();\n        });\n      }\n      requestInit.signal = signal;\n    }\n    if (httpOptions && httpOptions.extraBody !== null) {\n      includeExtraBodyToRequestInit(\n        requestInit,\n        httpOptions.extraBody as Record<string, unknown>,\n      );\n    }\n    requestInit.headers = await this.getHeadersInternal(httpOptions, url);\n    return requestInit;\n  }\n\n  private async unaryApiCall(\n    url: URL,\n    requestInit: RequestInit,\n    httpMethod: 'GET' | 'POST' | 'PATCH' | 'DELETE',\n  ): Promise<types.HttpResponse> {\n    return this.apiCall(url.toString(), {\n      ...requestInit,\n      method: httpMethod,\n    })\n      .then(async (response) => {\n        await throwErrorIfNotOK(response);\n        return new types.HttpResponse(response);\n      })\n      .catch((e) => {\n        if (e instanceof Error) {\n          throw e;\n        } else {\n          throw new Error(`exception ${e} sending request`, {cause: e});\n        }\n      });\n  }\n\n  private async streamApiCall(\n    url: URL,\n    requestInit: RequestInit,\n    httpMethod: 'GET' | 'POST' | 'PATCH' | 'DELETE',\n  ): Promise<AsyncGenerator<types.HttpResponse>> {\n    return this.apiCall(url.toString(), {\n      ...requestInit,\n      method: httpMethod,\n    })\n      .then(async (response) => {\n        await throwErrorIfNotOK(response);\n        return this.processStreamResponse(response);\n      })\n      .catch((e) => {\n        if (e instanceof Error) {\n          throw e;\n        } else {\n          throw new Error(`exception ${e} sending request`, {cause: e});\n        }\n      });\n  }\n\n  async *processStreamResponse(\n    response: Response,\n  ): AsyncGenerator<types.HttpResponse> {\n    const reader = response?.body?.getReader();\n    const decoder = new TextDecoder('utf-8');\n    if (!reader) {\n      throw new Error('Response body is empty');\n    }\n\n    try {\n      let buffer = '';\n      const dataPrefix = 'data:';\n      const delimiters = ['\\n\\n', '\\r\\r', '\\r\\n\\r\\n'];\n\n      while (true) {\n        const {done, value} = await reader.read();\n        if (done) {\n          if (buffer.trim().length > 0) {\n            throw new Error('Incomplete JSON segment at the end');\n          }\n          break;\n        }\n        const chunkString = decoder.decode(value, {stream: true});\n\n        // Parse and throw an error if the chunk contains an error.\n        try {\n          const chunkJson = JSON.parse(chunkString) as Record<string, unknown>;\n          if ('error' in chunkJson) {\n            const errorJson = JSON.parse(\n              JSON.stringify(chunkJson['error']),\n            ) as Record<string, unknown>;\n            const status = errorJson['status'] as string;\n            const code = errorJson['code'] as number;\n            const errorMessage = `got status: ${status}. ${JSON.stringify(\n              chunkJson,\n            )}`;\n            if (code >= 400 && code < 600) {\n              const apiError = new ApiError({\n                message: errorMessage,\n                status: code,\n              });\n              throw apiError;\n            }\n          }\n        } catch (e: unknown) {\n          const error = e as Error;\n          if (error.name === 'ApiError') {\n            throw e;\n          }\n        }\n        buffer += chunkString;\n\n        let delimiterIndex = -1;\n        let delimiterLength = 0;\n\n        while (true) {\n          delimiterIndex = -1;\n          delimiterLength = 0;\n\n          for (const delimiter of delimiters) {\n            const index = buffer.indexOf(delimiter);\n            if (\n              index !== -1 &&\n              (delimiterIndex === -1 || index < delimiterIndex)\n            ) {\n              delimiterIndex = index;\n              delimiterLength = delimiter.length;\n            }\n          }\n\n          if (delimiterIndex === -1) {\n            break; // No complete event in buffer\n          }\n\n          const eventString = buffer.substring(0, delimiterIndex);\n          buffer = buffer.substring(delimiterIndex + delimiterLength);\n\n          const trimmedEvent = eventString.trim();\n\n          if (trimmedEvent.startsWith(dataPrefix)) {\n            const processedChunkString = trimmedEvent\n              .substring(dataPrefix.length)\n              .trim();\n            try {\n              const partialResponse = new Response(processedChunkString, {\n                headers: response?.headers,\n                status: response?.status,\n                statusText: response?.statusText,\n              });\n              yield new types.HttpResponse(partialResponse);\n            } catch (e) {\n              throw new Error(\n                `exception parsing stream chunk ${processedChunkString}. ${e}`,\n              );\n            }\n          }\n        }\n      }\n    } finally {\n      reader.releaseLock();\n    }\n  }\n  private async apiCall(\n    url: string,\n    requestInit: RequestInit,\n  ): Promise<Response> {\n    if (\n      !this.clientOptions.httpOptions ||\n      !this.clientOptions.httpOptions.retryOptions\n    ) {\n      return fetch(url, requestInit);\n    }\n\n    const retryOptions = this.clientOptions.httpOptions.retryOptions;\n    const runFetch = async () => {\n      const response = await fetch(url, requestInit);\n\n      if (response.ok) {\n        return response;\n      }\n\n      if (DEFAULT_RETRY_HTTP_STATUS_CODES.includes(response.status)) {\n        throw new Error(`Retryable HTTP Error: ${response.statusText}`);\n      }\n\n      throw new AbortError(\n        `Non-retryable exception ${response.statusText} sending request`,\n      );\n    };\n\n    return pRetry(runFetch, {\n      // Retry attempts is one less than the number of total attempts.\n      retries: (retryOptions.attempts ?? DEFAULT_RETRY_ATTEMPTS) - 1,\n    });\n  }\n\n  getDefaultHeaders(): Record<string, string> {\n    const headers: Record<string, string> = {};\n\n    const versionHeaderValue =\n      LIBRARY_LABEL + ' ' + this.clientOptions.userAgentExtra;\n\n    headers[USER_AGENT_HEADER] = versionHeaderValue;\n    headers[GOOGLE_API_CLIENT_HEADER] = versionHeaderValue;\n    headers[CONTENT_TYPE_HEADER] = 'application/json';\n\n    return headers;\n  }\n\n  private async getHeadersInternal(\n    httpOptions: types.HttpOptions | undefined,\n    url: string,\n  ): Promise<Headers> {\n    const headers = new Headers();\n    if (httpOptions && httpOptions.headers) {\n      for (const [key, value] of Object.entries(httpOptions.headers)) {\n        headers.append(key, value);\n      }\n    }\n    // Append a timeout header if it is set, note that the timeout option is\n    // in milliseconds but the header is in seconds.\n    // NOTE: This is intentionally outside the httpOptions.headers guard above\n    // so that the X-Server-Timeout header is always sent whenever a timeout\n    // is configured, even if the caller did not supply any custom headers.\n    if (httpOptions?.timeout && httpOptions.timeout > 0) {\n      headers.append(\n        SERVER_TIMEOUT_HEADER,\n        String(Math.ceil(httpOptions.timeout / 1000)),\n      );\n    }\n    await this.clientOptions.auth.addAuthHeaders(headers, url);\n    return headers;\n  }\n\n  private getFileName(file: string | Blob): string {\n    let fileName: string = '';\n    if (typeof file === 'string') {\n      fileName = file.replace(/[/\\\\]+$/, '');\n      fileName = fileName.split(/[/\\\\]/).pop() ?? '';\n    }\n    return fileName;\n  }\n\n  /**\n   * Uploads a file asynchronously using Gemini API only, this is not supported\n   * in Vertex AI.\n   *\n   * @param file The string path to the file to be uploaded or a Blob object.\n   * @param config Optional parameters specified in the `UploadFileConfig`\n   *     interface. @see {@link types.UploadFileConfig}\n   * @return A promise that resolves to a `File` object.\n   * @throws An error if called on a Vertex AI client.\n   * @throws An error if the `mimeType` is not provided and can not be inferred,\n   */\n  async uploadFile(\n    file: string | Blob,\n    config?: types.UploadFileConfig,\n  ): Promise<types.File> {\n    const fileToUpload: types.File = {};\n    if (config != null) {\n      fileToUpload.mimeType = config.mimeType;\n      fileToUpload.name = config.name;\n      fileToUpload.displayName = config.displayName;\n    }\n\n    if (fileToUpload.name && !fileToUpload.name.startsWith('files/')) {\n      fileToUpload.name = `files/${fileToUpload.name}`;\n    }\n\n    const uploader = this.clientOptions.uploader;\n    const fileStat = await uploader.stat(file);\n    fileToUpload.sizeBytes = String(fileStat.size);\n    const mimeType = config?.mimeType ?? fileStat.type;\n    if (mimeType === undefined || mimeType === '') {\n      throw new Error(\n        'Can not determine mimeType. Please provide mimeType in the config.',\n      );\n    }\n    fileToUpload.mimeType = mimeType;\n    const body: Record<string, unknown> = {\n      file: fileToUpload,\n    };\n    const fileName = this.getFileName(file);\n    const path = common.formatMap(\n      'upload/v1beta/files',\n      body['_url'] as Record<string, unknown>,\n    );\n    const uploadUrl = await this.fetchUploadUrl(\n      path,\n      fileToUpload.sizeBytes,\n      fileToUpload.mimeType,\n      fileName,\n      body,\n      config?.httpOptions,\n    );\n    return uploader.upload(file, uploadUrl, this);\n  }\n\n  /**\n   * Uploads a file to a given file search store asynchronously using Gemini API only, this is not supported\n   * in Vertex AI.\n   *\n   * @param fileSearchStoreName The name of the file search store to upload the file to.\n   * @param file The string path to the file to be uploaded or a Blob object.\n   * @param config Optional parameters specified in the `UploadFileConfig`\n   *     interface. @see {@link UploadFileConfig}\n   * @return A promise that resolves to a `File` object.\n   * @throws An error if called on a Vertex AI client.\n   * @throws An error if the `mimeType` is not provided and can not be inferred,\n   */\n  async uploadFileToFileSearchStore(\n    fileSearchStoreName: string,\n    file: string | Blob,\n    config?: types.UploadToFileSearchStoreConfig,\n  ): Promise<types.UploadToFileSearchStoreOperation> {\n    const uploader = this.clientOptions.uploader;\n    const fileStat = await uploader.stat(file);\n    const sizeBytes = String(fileStat.size);\n    const mimeType = config?.mimeType ?? fileStat.type;\n    if (mimeType === undefined || mimeType === '') {\n      throw new Error(\n        'Can not determine mimeType. Please provide mimeType in the config.',\n      );\n    }\n    const path = `upload/v1beta/${fileSearchStoreName}:uploadToFileSearchStore`;\n    const fileName = this.getFileName(file);\n    const body: Record<string, unknown> = {};\n    if (config != null) {\n      uploadToFileSearchStoreConfigToMldev(config, body);\n    }\n    const uploadUrl = await this.fetchUploadUrl(\n      path,\n      sizeBytes,\n      mimeType,\n      fileName,\n      body,\n      config?.httpOptions,\n    );\n    return uploader.uploadToFileSearchStore(file, uploadUrl, this);\n  }\n\n  /**\n   * Downloads a file asynchronously to the specified path.\n   *\n   * @params params - The parameters for the download request, see {@link\n   * types.DownloadFileParameters}\n   */\n  async downloadFile(params: types.DownloadFileParameters): Promise<void> {\n    const downloader = this.clientOptions.downloader;\n    await downloader.download(params, this);\n  }\n\n  private async fetchUploadUrl(\n    path: string,\n    sizeBytes: string,\n    mimeType: string,\n    fileName: string,\n    body: Record<string, unknown>,\n    configHttpOptions?: types.HttpOptions,\n  ): Promise<string> {\n    let httpOptions: types.HttpOptions = {};\n    if (configHttpOptions) {\n      httpOptions = configHttpOptions;\n    } else {\n      httpOptions = {\n        apiVersion: '', // api-version is set in the path.\n        headers: {\n          'Content-Type': 'application/json',\n          'X-Goog-Upload-Protocol': 'resumable',\n          'X-Goog-Upload-Command': 'start',\n          'X-Goog-Upload-Header-Content-Length': `${sizeBytes}`,\n          'X-Goog-Upload-Header-Content-Type': `${mimeType}`,\n          ...(fileName ? {'X-Goog-Upload-File-Name': fileName} : {}),\n        },\n      };\n    }\n\n    const httpResponse = await this.request({\n      path,\n      body: JSON.stringify(body),\n      httpMethod: 'POST',\n      httpOptions,\n    });\n\n    if (!httpResponse || !httpResponse?.headers) {\n      throw new Error(\n        'Server did not return an HttpResponse or the returned HttpResponse did not have headers.',\n      );\n    }\n\n    const uploadUrl: string | undefined =\n      httpResponse?.headers?.['x-goog-upload-url'];\n    if (uploadUrl === undefined) {\n      throw new Error(\n        'Failed to get upload url. Server did not return the x-google-upload-url in the headers',\n      );\n    }\n    return uploadUrl;\n  }\n}\n\nasync function throwErrorIfNotOK(response: Response | undefined) {\n  if (response === undefined) {\n    throw new Error('response is undefined');\n  }\n  if (!response.ok) {\n    const status: number = response.status;\n    let errorBody: Record<string, unknown>;\n    if (response.headers.get('content-type')?.includes('application/json')) {\n      errorBody = await response.json();\n    } else {\n      errorBody = {\n        error: {\n          message: await response.text(),\n          code: response.status,\n          status: response.statusText,\n        },\n      };\n    }\n    const errorMessage = JSON.stringify(errorBody);\n    if (status >= 400 && status < 600) {\n      const apiError = new ApiError({\n        message: errorMessage,\n        status: status,\n      });\n      throw apiError;\n    }\n    throw new Error(errorMessage);\n  }\n}\n\n/**\n * Recursively updates the `requestInit.body` with values from an `extraBody` object.\n *\n * If `requestInit.body` is a string, it's assumed to be JSON and will be parsed.\n * The `extraBody` is then deeply merged into this parsed object.\n * If `requestInit.body` is a Blob, `extraBody` will be ignored, and a warning logged,\n * as merging structured data into an opaque Blob is not supported.\n *\n * The function does not enforce that updated values from `extraBody` have the\n * same type as existing values in `requestInit.body`. Type mismatches during\n * the merge will result in a warning, but the value from `extraBody` will overwrite\n * the original. `extraBody` users are responsible for ensuring `extraBody` has the correct structure.\n *\n * @param requestInit The RequestInit object whose body will be updated.\n * @param extraBody The object containing updates to be merged into `requestInit.body`.\n */\nexport function includeExtraBodyToRequestInit(\n  requestInit: RequestInit,\n  extraBody: Record<string, unknown>,\n) {\n  if (!extraBody || Object.keys(extraBody).length === 0) {\n    return;\n  }\n\n  if (requestInit.body instanceof Blob) {\n    console.warn(\n      'includeExtraBodyToRequestInit: extraBody provided but current request body is a Blob. extraBody will be ignored as merging is not supported for Blob bodies.',\n    );\n    return;\n  }\n\n  let currentBodyObject: Record<string, unknown> = {};\n\n  // If adding new type to HttpRequest.body, please check the code below to\n  // see if we need to update the logic.\n  if (typeof requestInit.body === 'string' && requestInit.body.length > 0) {\n    try {\n      const parsedBody = JSON.parse(requestInit.body);\n      if (\n        typeof parsedBody === 'object' &&\n        parsedBody !== null &&\n        !Array.isArray(parsedBody)\n      ) {\n        currentBodyObject = parsedBody as Record<string, unknown>;\n      } else {\n        console.warn(\n          'includeExtraBodyToRequestInit: Original request body is valid JSON but not a non-array object. Skip applying extraBody to the request body.',\n        );\n        return;\n      }\n      /*  eslint-disable-next-line @typescript-eslint/no-unused-vars */\n    } catch (e) {\n      console.warn(\n        'includeExtraBodyToRequestInit: Original request body is not valid JSON. Skip applying extraBody to the request body.',\n      );\n      return;\n    }\n  }\n\n  function deepMerge(\n    target: Record<string, unknown>,\n    source: Record<string, unknown>,\n  ): Record<string, unknown> {\n    const output = {...target};\n    for (const key in source) {\n      if (Object.prototype.hasOwnProperty.call(source, key)) {\n        const sourceValue = source[key];\n        const targetValue = output[key];\n        if (\n          sourceValue &&\n          typeof sourceValue === 'object' &&\n          !Array.isArray(sourceValue) &&\n          targetValue &&\n          typeof targetValue === 'object' &&\n          !Array.isArray(targetValue)\n        ) {\n          output[key] = deepMerge(\n            targetValue as Record<string, unknown>,\n            sourceValue as Record<string, unknown>,\n          );\n        } else {\n          if (\n            targetValue &&\n            sourceValue &&\n            typeof targetValue !== typeof sourceValue\n          ) {\n            console.warn(\n              `includeExtraBodyToRequestInit:deepMerge: Type mismatch for key \"${key}\". Original type: ${typeof targetValue}, New type: ${typeof sourceValue}. Overwriting.`,\n            );\n          }\n          output[key] = sourceValue;\n        }\n      }\n    }\n    return output;\n  }\n\n  const mergedBody = deepMerge(currentBodyObject, extraBody);\n  requestInit.body = JSON.stringify(mergedBody);\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nexport function crossError(): Error {\n  // TODO(b/399934880): this message needs a link to a help page explaining how to enable conditional exports\n  return new Error(`This feature requires the web or Node specific @google/genai implementation, you can fix this by either:\n\n*Enabling conditional exports for your project [recommended]*\n\n*Using a platform specific import* - Make sure your code imports either '@google/genai/web' or '@google/genai/node' instead of '@google/genai'.\n`);\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {ApiClient} from '../_api_client.js';\nimport {Downloader} from '../_downloader.js';\nimport {DownloadFileParameters} from '../types.js';\n\nimport {crossError} from './_cross_error.js';\n\nexport class CrossDownloader implements Downloader {\n  async download(\n    _params: DownloadFileParameters,\n    _apiClient: ApiClient,\n  ): Promise<void> {\n    throw crossError();\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\nimport {ApiClient} from '../_api_client.js';\nimport {FileStat, Uploader} from '../_uploader.js';\nimport * as _converters from '../converters/_operations_converters.js';\nimport {\n  File,\n  HttpOptions,\n  HttpResponse,\n  UploadToFileSearchStoreOperation,\n} from '../types.js';\nimport {crossError} from './_cross_error.js';\n\nexport const MAX_CHUNK_SIZE = 1024 * 1024 * 8; // bytes\nexport const MAX_RETRY_COUNT = 3;\nexport const INITIAL_RETRY_DELAY_MS = 1000;\nexport const DELAY_MULTIPLIER = 2;\nexport const X_GOOG_UPLOAD_STATUS_HEADER_FIELD = 'x-goog-upload-status';\n\nexport class CrossUploader implements Uploader {\n  async upload(\n    file: string | Blob,\n    uploadUrl: string,\n    apiClient: ApiClient,\n    httpOptions?: HttpOptions,\n  ): Promise<File> {\n    if (typeof file === 'string') {\n      throw crossError();\n    } else {\n      return uploadBlob(file, uploadUrl, apiClient, httpOptions);\n    }\n  }\n\n  async uploadToFileSearchStore(\n    file: string | Blob,\n    uploadUrl: string,\n    apiClient: ApiClient,\n    httpOptions?: HttpOptions,\n  ): Promise<UploadToFileSearchStoreOperation> {\n    if (typeof file === 'string') {\n      throw crossError();\n    } else {\n      return uploadBlobToFileSearchStore(\n        file,\n        uploadUrl,\n        apiClient,\n        httpOptions,\n      );\n    }\n  }\n\n  async stat(file: string | Blob): Promise<FileStat> {\n    if (typeof file === 'string') {\n      throw crossError();\n    } else {\n      return getBlobStat(file);\n    }\n  }\n}\n\nexport async function uploadBlob(\n  file: Blob,\n  uploadUrl: string,\n  apiClient: ApiClient,\n  httpOptions?: HttpOptions,\n): Promise<File> {\n  const response = await uploadBlobInternal(\n    file,\n    uploadUrl,\n    apiClient,\n    httpOptions,\n  );\n  const responseJson = (await response?.json()) as Record<\n    string,\n    File | unknown\n  >;\n  if (response?.headers?.[X_GOOG_UPLOAD_STATUS_HEADER_FIELD] !== 'final') {\n    throw new Error('Failed to upload file: Upload status is not finalized.');\n  }\n  return responseJson['file'] as File;\n}\n\nexport async function uploadBlobToFileSearchStore(\n  file: Blob,\n  uploadUrl: string,\n  apiClient: ApiClient,\n  httpOptions?: HttpOptions,\n): Promise<UploadToFileSearchStoreOperation> {\n  const response = await uploadBlobInternal(\n    file,\n    uploadUrl,\n    apiClient,\n    httpOptions,\n  );\n  const responseJson =\n    (await response?.json()) as UploadToFileSearchStoreOperation;\n  if (response?.headers?.[X_GOOG_UPLOAD_STATUS_HEADER_FIELD] !== 'final') {\n    throw new Error('Failed to upload file: Upload status is not finalized.');\n  }\n  const resp =\n    _converters.uploadToFileSearchStoreOperationFromMldev(responseJson);\n  const typedResp = new UploadToFileSearchStoreOperation();\n  Object.assign(typedResp, resp);\n  return typedResp;\n}\n\nasync function uploadBlobInternal(\n  file: Blob,\n  uploadUrl: string,\n  apiClient: ApiClient,\n  httpOptions?: HttpOptions,\n): Promise<HttpResponse> {\n  let finalUrl = uploadUrl;\n  const effectiveBaseUrl =\n    httpOptions?.baseUrl || apiClient.clientOptions.httpOptions?.baseUrl;\n  if (effectiveBaseUrl) {\n    const baseUri = new URL(effectiveBaseUrl);\n    const uploadUri = new URL(uploadUrl);\n    uploadUri.protocol = baseUri.protocol;\n    uploadUri.host = baseUri.host;\n    uploadUri.port = baseUri.port;\n    finalUrl = uploadUri.toString();\n  }\n\n  let fileSize = 0;\n  let offset = 0;\n  let response: HttpResponse = new HttpResponse(new Response());\n  let uploadCommand = 'upload';\n  fileSize = file.size;\n  while (offset < fileSize) {\n    const chunkSize = Math.min(MAX_CHUNK_SIZE, fileSize - offset);\n    const chunk = file.slice(offset, offset + chunkSize);\n    if (offset + chunkSize >= fileSize) {\n      uploadCommand += ', finalize';\n    }\n    let retryCount = 0;\n    let currentDelayMs = INITIAL_RETRY_DELAY_MS;\n    while (retryCount < MAX_RETRY_COUNT) {\n      const mergedHeaders = {\n        ...(httpOptions?.headers || {}),\n        'X-Goog-Upload-Command': uploadCommand,\n        'X-Goog-Upload-Offset': String(offset),\n        'Content-Length': String(chunkSize),\n      };\n\n      response = await apiClient.request({\n        path: '',\n        body: chunk,\n        httpMethod: 'POST',\n        httpOptions: {\n          ...httpOptions,\n          apiVersion: '',\n          baseUrl: finalUrl,\n          headers: mergedHeaders,\n        },\n      });\n      if (response?.headers?.[X_GOOG_UPLOAD_STATUS_HEADER_FIELD]) {\n        break;\n      }\n      retryCount++;\n      await sleep(currentDelayMs);\n      currentDelayMs = currentDelayMs * DELAY_MULTIPLIER;\n    }\n    offset += chunkSize;\n    // The `x-goog-upload-status` header field can be `active`, `final` and\n    //`cancelled` in resposne.\n    if (response?.headers?.[X_GOOG_UPLOAD_STATUS_HEADER_FIELD] !== 'active') {\n      break;\n    }\n    // TODO(b/401391430) Investigate why the upload status is not finalized\n    // even though all content has been uploaded.\n    if (fileSize <= offset) {\n      throw new Error(\n        'All content has been uploaded, but the upload status is not finalized.',\n      );\n    }\n  }\n\n  return response;\n}\n\nexport async function getBlobStat(file: Blob): Promise<FileStat> {\n  const fileStat: FileStat = {size: file.size, type: file.type};\n  return fileStat;\n}\n\nexport function sleep(ms: number): Promise<void> {\n  return new Promise((resolvePromise) => setTimeout(resolvePromise, ms));\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {\n  WebSocketCallbacks,\n  WebSocketFactory,\n  WebSocket as Ws,\n} from '../_websocket.js';\nimport {crossError} from './_cross_error.js';\n\nexport class CrossWebSocketFactory implements WebSocketFactory {\n  create(\n    _url: string,\n    _headers: Record<string, string>,\n    _callbacks: WebSocketCallbacks,\n  ): Ws {\n    throw crossError();\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function createFileParametersToMldev(\n  fromObject: types.CreateFileParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromFile = common.getValueByPath(fromObject, ['file']);\n  if (fromFile != null) {\n    common.setValueByPath(toObject, ['file'], fromFile);\n  }\n\n  return toObject;\n}\n\nexport function createFileResponseFromMldev(\n  fromObject: types.CreateFileResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function deleteFileParametersToMldev(\n  fromObject: types.DeleteFileParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'file'], t.tFileName(fromName));\n  }\n\n  return toObject;\n}\n\nexport function deleteFileResponseFromMldev(\n  fromObject: types.DeleteFileResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function getFileParametersToMldev(\n  fromObject: types.GetFileParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'file'], t.tFileName(fromName));\n  }\n\n  return toObject;\n}\n\nexport function internalRegisterFilesParametersToMldev(\n  fromObject: types.InternalRegisterFilesParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUris = common.getValueByPath(fromObject, ['uris']);\n  if (fromUris != null) {\n    common.setValueByPath(toObject, ['uris'], fromUris);\n  }\n\n  return toObject;\n}\n\nexport function listFilesConfigToMldev(\n  fromObject: types.ListFilesConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  return toObject;\n}\n\nexport function listFilesParametersToMldev(\n  fromObject: types.ListFilesParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listFilesConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listFilesResponseFromMldev(\n  fromObject: types.ListFilesResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromFiles = common.getValueByPath(fromObject, ['files']);\n  if (fromFiles != null) {\n    let transformedList = fromFiles;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['files'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function registerFilesResponseFromMldev(\n  fromObject: types.RegisterFilesResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromFiles = common.getValueByPath(fromObject, ['files']);\n  if (fromFiles != null) {\n    let transformedList = fromFiles;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['files'], transformedList);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_files_converters.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Files extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Lists files.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of files.\n   *\n   * @example\n   * ```ts\n   * const files = await ai.files.list({config: {'pageSize': 2}});\n   * for await (const file of files) {\n   *   console.log(file);\n   * }\n   * ```\n   */\n  list = async (\n    params: types.ListFilesParameters = {},\n  ): Promise<Pager<types.File>> => {\n    return new Pager<types.File>(\n      PagedItem.PAGED_ITEM_FILES,\n      (x: types.ListFilesParameters) => this.listInternal(x),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Uploads a file asynchronously to the Gemini API.\n   * This method is not available in Gemini Enterprise Agent Platform (previously known as Vertex AI).\n   * Supported upload sources:\n   * - Node.js: File path (string) or Blob object.\n   * - Browser: Blob object (e.g., File).\n   *\n   * @remarks\n   * The `mimeType` can be specified in the `config` parameter. If omitted:\n   *  - For file path (string) inputs, the `mimeType` will be inferred from the\n   *     file extension.\n   *  - For Blob object inputs, the `mimeType` will be set to the Blob's `type`\n   *     property.\n   * Some examples for file extension to mimeType mapping:\n   * .txt -> text/plain\n   * .json -> application/json\n   * .jpg  -> image/jpeg\n   * .png -> image/png\n   * .mp3 -> audio/mpeg\n   * .mp4 -> video/mp4\n   *\n   * This section can contain multiple paragraphs and code examples.\n   *\n   * @param params - Optional parameters specified in the\n   *        `types.UploadFileParameters` interface.\n   *         @see {@link types.UploadFileParameters#config} for the optional\n   *         config in the parameters.\n   * @return A promise that resolves to a `types.File` object.\n   * @throws An error if called on a Gemini Enterprise Agent Platform (previously known as Vertex AI) client.\n   * @throws An error if the `mimeType` is not provided and can not be inferred,\n   * the `mimeType` can be provided in the `params.config` parameter.\n   * @throws An error occurs if a suitable upload location cannot be established.\n   *\n   * @example\n   * The following code uploads a file to Gemini API.\n   *\n   * ```ts\n   * const file = await ai.files.upload({file: 'file.txt', config: {\n   *   mimeType: 'text/plain',\n   * }});\n   * console.log(file.name);\n   * ```\n   */\n  async upload(params: types.UploadFileParameters): Promise<types.File> {\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'Gemini Enterprise Agent Platform (previously known as Vertex AI) does not support uploading files. You can share files through a GCS bucket.',\n      );\n    }\n\n    return this.apiClient\n      .uploadFile(params.file, params.config)\n      .then((resp) => {\n        return resp as types.File;\n      });\n  }\n\n  /**\n   * Downloads a remotely stored file asynchronously to a location specified in\n   * the `params` object. This method only works on Node environment, to\n   * download files in the browser, use a browser compliant method like an <a>\n   * tag.\n   *\n   * @param params - The parameters for the download request.\n   *\n   * @example\n   * The following code downloads an example file named \"files/mehozpxf877d\" as\n   * \"file.txt\".\n   *\n   * ```ts\n   * await ai.files.download({file: file.name, downloadPath: 'file.txt'});\n   * ```\n   */\n\n  async download(params: types.DownloadFileParameters): Promise<void> {\n    await this.apiClient.downloadFile(params);\n  }\n\n  /**\n   * Registers Google Cloud Storage files for use with the API.\n   * This method is only available in Node.js environments.\n   */\n  async registerFiles(\n    params: types.RegisterFilesParameters,\n  ): Promise<types.RegisterFilesResponse> {\n    void params;\n    throw new Error('registerFiles is only supported in Node.js environments.');\n  }\n\n  protected async _registerFiles(\n    params: types.InternalRegisterFilesParameters,\n  ): Promise<types.RegisterFilesResponse> {\n    return this.registerFilesInternal(params);\n  }\n\n  private async listInternal(\n    params: types.ListFilesParameters,\n  ): Promise<types.ListFilesResponse> {\n    let response: Promise<types.ListFilesResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.listFilesParametersToMldev(params);\n      path = common.formatMap('files', body['_url'] as Record<string, unknown>);\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListFilesResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListFilesResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listFilesResponseFromMldev(apiResponse);\n        const typedResp = new types.ListFilesResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  private async createInternal(\n    params: types.CreateFileParameters,\n  ): Promise<types.CreateFileResponse> {\n    let response: Promise<types.CreateFileResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.createFileParametersToMldev(params);\n      path = common.formatMap(\n        'upload/v1beta/files',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.CreateFileResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.createFileResponseFromMldev(apiResponse);\n        const typedResp = new types.CreateFileResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Retrieves the file information from the service.\n   *\n   * @param params - The parameters for the get request\n   * @return The Promise that resolves to the types.File object requested.\n   *\n   * @example\n   * ```ts\n   * const config: GetFileParameters = {\n   *   name: fileName,\n   * };\n   * file = await ai.files.get(config);\n   * console.log(file.name);\n   * ```\n   */\n  async get(params: types.GetFileParameters): Promise<types.File> {\n    let response: Promise<types.File>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.getFileParametersToMldev(params);\n      path = common.formatMap(\n        'files/{file}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.File>;\n\n      return response.then((resp) => {\n        return resp as types.File;\n      });\n    }\n  }\n\n  /**\n   * Deletes a remotely stored file.\n   *\n   * @param params - The parameters for the delete request.\n   * @return The DeleteFileResponse, the response for the delete method.\n   *\n   * @example\n   * The following code deletes an example file named \"files/mehozpxf877d\".\n   *\n   * ```ts\n   * await ai.files.delete({name: file.name});\n   * ```\n   */\n  async delete(\n    params: types.DeleteFileParameters,\n  ): Promise<types.DeleteFileResponse> {\n    let response: Promise<types.DeleteFileResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.deleteFileParametersToMldev(params);\n      path = common.formatMap(\n        'files/{file}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteFileResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteFileResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.deleteFileResponseFromMldev(apiResponse);\n        const typedResp = new types.DeleteFileResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  private async registerFilesInternal(\n    params: types.InternalRegisterFilesParameters,\n  ): Promise<types.RegisterFilesResponse> {\n    let response: Promise<types.RegisterFilesResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.internalRegisterFilesParametersToMldev(params);\n      path = common.formatMap(\n        'files:register',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.RegisterFilesResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.registerFilesResponseFromMldev(apiResponse);\n        const typedResp = new types.RegisterFilesResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport * as common from '../_common.js';\nimport type * as types from '../types.js';\n\nexport function deleteDocumentConfigToMldev(\n  fromObject: types.DeleteDocumentConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromForce = common.getValueByPath(fromObject, ['force']);\n  if (parentObject !== undefined && fromForce != null) {\n    common.setValueByPath(parentObject, ['_query', 'force'], fromForce);\n  }\n\n  return toObject;\n}\n\nexport function deleteDocumentParametersToMldev(\n  fromObject: types.DeleteDocumentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    deleteDocumentConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function getDocumentParametersToMldev(\n  fromObject: types.GetDocumentParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function listDocumentsConfigToMldev(\n  fromObject: types.ListDocumentsConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  return toObject;\n}\n\nexport function listDocumentsParametersToMldev(\n  fromObject: types.ListDocumentsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParent = common.getValueByPath(fromObject, ['parent']);\n  if (fromParent != null) {\n    common.setValueByPath(toObject, ['_url', 'parent'], fromParent);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listDocumentsConfigToMldev(fromConfig, toObject);\n  }\n\n  return toObject;\n}\n\nexport function listDocumentsResponseFromMldev(\n  fromObject: types.ListDocumentsResponse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromDocuments = common.getValueByPath(fromObject, ['documents']);\n  if (fromDocuments != null) {\n    let transformedList = fromDocuments;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['documents'], transformedList);\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_documents_converters.js';\nimport {PagedItem, PagedItemConfig, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Documents extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Lists documents.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of documents.\n   *\n   * @example\n   * ```ts\n   * const documents = await ai.documents.list({parent:'rag_store_name', config: {'pageSize': 2}});\n   * for await (const document of documents) {\n   *   console.log(document);\n   * }\n   * ```\n   */\n\n  list = async (\n    params: types.ListDocumentsParameters,\n  ): Promise<Pager<types.Document>> => {\n    return new Pager<types.Document>(\n      PagedItem.PAGED_ITEM_DOCUMENTS,\n      (x: PagedItemConfig) =>\n        this.listInternal({parent: params.parent, config: x.config}),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Gets a Document.\n   *\n   * @param params - The parameters for getting a document.\n   * @return Document.\n   */\n\n  async get(params: types.GetDocumentParameters): Promise<types.Document> {\n    let response: Promise<types.Document>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.getDocumentParametersToMldev(params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.Document>;\n\n      return response.then((resp) => {\n        return resp as types.Document;\n      });\n    }\n  }\n\n  /**\n   * Deletes a Document.\n   *\n   * @param params - The parameters for deleting a document.\n   */\n\n  async delete(params: types.DeleteDocumentParameters): Promise<void> {\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.deleteDocumentParametersToMldev(params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      await this.apiClient.request({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'DELETE',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListDocumentsParameters,\n  ): Promise<types.ListDocumentsResponse> {\n    let response: Promise<types.ListDocumentsResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.listDocumentsParametersToMldev(params);\n      path = common.formatMap(\n        '{parent}/documents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.ListDocumentsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listDocumentsResponseFromMldev(apiResponse);\n        const typedResp = new types.ListDocumentsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_filesearchstores_converters.js';\nimport {Documents} from './documents.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class FileSearchStores extends BaseModule {\n  constructor(\n    private readonly apiClient: ApiClient,\n    public readonly documents: Documents = new Documents(apiClient),\n  ) {\n    super();\n  }\n\n  /**\n   * Lists file search stores.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of file search stores.\n   *\n   * @example\n   * ```ts\n   * const fileSearchStores = await ai.fileSearchStores.list({config: {'pageSize': 2}});\n   * for await (const fileSearchStore of fileSearchStores) {\n   *   console.log(fileSearchStore);\n   * }\n   * ```\n   */\n\n  list = async (\n    params: types.ListFileSearchStoresParameters = {},\n  ): Promise<Pager<types.FileSearchStore>> => {\n    return new Pager<types.FileSearchStore>(\n      PagedItem.PAGED_ITEM_FILE_SEARCH_STORES,\n      (x: types.ListFileSearchStoresParameters) => this.listInternal(x),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Uploads a file asynchronously to a given File Search Store.\n   * This method is not available in Gemini Enterprise Agent Platform (previously known as Vertex AI).\n   * Supported upload sources:\n   * - Node.js: File path (string) or Blob object.\n   * - Browser: Blob object (e.g., File).\n   *\n   * @remarks\n   * The `mimeType` can be specified in the `config` parameter. If omitted:\n   *  - For file path (string) inputs, the `mimeType` will be inferred from the\n   *     file extension.\n   *  - For Blob object inputs, the `mimeType` will be set to the Blob's `type`\n   *     property.\n   *\n   * This section can contain multiple paragraphs and code examples.\n   *\n   * @param params - Optional parameters specified in the\n   *        `types.UploadToFileSearchStoreParameters` interface.\n   *         @see {@link types.UploadToFileSearchStoreParameters#config} for the optional\n   *         config in the parameters.\n   * @return A promise that resolves to a long running operation.\n   * @throws An error if called on a Gemini Enterprise Agent Platform (previously known as Vertex AI) client.\n   * @throws An error if the `mimeType` is not provided and can not be inferred,\n   * the `mimeType` can be provided in the `params.config` parameter.\n   * @throws An error occurs if a suitable upload location cannot be established.\n   *\n   * @example\n   * The following code uploads a file to a given file search store.\n   *\n   * ```ts\n   * const operation = await ai.fileSearchStores.upload({fileSearchStoreName: 'fileSearchStores/foo-bar', file: 'file.txt', config: {\n   *   mimeType: 'text/plain',\n   * }});\n   * console.log(operation.name);\n   * ```\n   */\n  async uploadToFileSearchStore(\n    params: types.UploadToFileSearchStoreParameters,\n  ): Promise<types.UploadToFileSearchStoreOperation> {\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'Gemini Enterprise Agent Platform (previously known as Vertex AI) does not support uploading files to a file search store.',\n      );\n    }\n\n    return this.apiClient.uploadFileToFileSearchStore(\n      params.fileSearchStoreName,\n      params.file,\n      params.config,\n    );\n  }\n\n  /**\n   * Downloads media using a Media ID or URI.\n   * This method is only supported in the Gemini Developer client.\n   *\n   * @param uri - The URI or Media ID of the blob.\n   * @param config - Optional configuration for the download.\n   * @returns A promise that resolves to the blob data as a Uint8Array.\n   */\n  async downloadMedia(\n    uri: string,\n    config?: types.DownloadMediaConfig,\n  ): Promise<Uint8Array> {\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported in the Gemini Developer client.',\n      );\n    }\n\n    const parsedUri = new URL(uri, 'http://dummy.com');\n    let pathname = parsedUri.pathname;\n    if (pathname.startsWith('/')) {\n      pathname = pathname.slice(1);\n    }\n\n    if (!pathname.includes('/media/')) {\n      throw new Error(\n        `Invalid uri format: ${uri}. Expected to contain /media/`,\n      );\n    }\n\n    const queryParams: Record<string, string> = {};\n    parsedUri.searchParams.forEach((value, key) => {\n      queryParams[key] = value;\n    });\n    queryParams['alt'] = 'media';\n\n    const httpOptions: types.HttpOptions = {\n      ...config?.httpOptions,\n    };\n\n    const response = await this.apiClient.request({\n      path: pathname,\n      httpMethod: 'GET',\n      queryParams: queryParams,\n      httpOptions: httpOptions,\n    });\n\n    if (response instanceof types.HttpResponse) {\n      const arrayBuffer = await response.responseInternal.arrayBuffer();\n      return new Uint8Array(arrayBuffer);\n    } else {\n      throw new Error('Unexpected response type from downloadMedia');\n    }\n  }\n\n  /**\n   * Creates a File Search Store.\n   *\n   * @param params - The parameters for creating a File Search Store.\n   * @return FileSearchStore.\n   */\n\n  async create(\n    params: types.CreateFileSearchStoreParameters,\n  ): Promise<types.FileSearchStore> {\n    let response: Promise<types.FileSearchStore>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.createFileSearchStoreParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'fileSearchStores',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.FileSearchStore>;\n\n      return response.then((resp) => {\n        return resp as types.FileSearchStore;\n      });\n    }\n  }\n\n  /**\n   * Gets a File Search Store.\n   *\n   * @param params - The parameters for getting a File Search Store.\n   * @return FileSearchStore.\n   */\n\n  async get(\n    params: types.GetFileSearchStoreParameters,\n  ): Promise<types.FileSearchStore> {\n    let response: Promise<types.FileSearchStore>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.getFileSearchStoreParametersToMldev(params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.FileSearchStore>;\n\n      return response.then((resp) => {\n        return resp as types.FileSearchStore;\n      });\n    }\n  }\n\n  /**\n   * Deletes a File Search Store.\n   *\n   * @param params - The parameters for deleting a File Search Store.\n   */\n\n  async delete(params: types.DeleteFileSearchStoreParameters): Promise<void> {\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.deleteFileSearchStoreParametersToMldev(params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      await this.apiClient.request({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'DELETE',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListFileSearchStoresParameters,\n  ): Promise<types.ListFileSearchStoresResponse> {\n    let response: Promise<types.ListFileSearchStoresResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.listFileSearchStoresParametersToMldev(params);\n      path = common.formatMap(\n        'fileSearchStores',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.ListFileSearchStoresResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.listFileSearchStoresResponseFromMldev(apiResponse);\n        const typedResp = new types.ListFileSearchStoresResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  private async uploadToFileSearchStoreInternal(\n    params: types.UploadToFileSearchStoreParameters,\n  ): Promise<types.UploadToFileSearchStoreResumableResponse> {\n    let response: Promise<types.UploadToFileSearchStoreResumableResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.uploadToFileSearchStoreParametersToMldev(params);\n      path = common.formatMap(\n        'upload/v1beta/{file_search_store_name}:uploadToFileSearchStore',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.UploadToFileSearchStoreResumableResponse>;\n\n      return response.then((apiResponse) => {\n        const resp =\n          converters.uploadToFileSearchStoreResumableResponseFromMldev(\n            apiResponse,\n          );\n        const typedResp = new types.UploadToFileSearchStoreResumableResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Imports a File from File Service to a FileSearchStore.\n   *\n   * This is a long-running operation, see aip.dev/151\n   *\n   * @param params - The parameters for importing a file to a file search store.\n   * @return ImportFileOperation.\n   */\n\n  async importFile(\n    params: types.ImportFileParameters,\n  ): Promise<types.ImportFileOperation> {\n    let response: Promise<types.ImportFileOperation>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.importFileParametersToMldev(params);\n      path = common.formatMap(\n        '{file_search_store_name}:importFile',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.ImportFileOperation>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.importFileOperationFromMldev(apiResponse);\n        const typedResp = new types.ImportFileOperation();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { SDKOptions } from \"./config.js\";\n\nexport interface Env {\n  GOOGLE_GENAI_API_KEY?: string | undefined;\n  GOOGLE_GENAI_ACCESS_TOKEN?: string | undefined;\n\n  /**\n   * Sets the api_version parameter for all supported operations\n   */\n  GOOGLE_GENAI_API_VERSION?: string | undefined;\n\n  /**\n   * Sets the user_project parameter for all supported operations\n   */\n  GOOGLE_GENAI_USER_PROJECT?: string | undefined;\n\n  GOOGLE_GENAI_DEBUG?: boolean | undefined;\n}\n\n/**\n * Checks for the existence of the Deno global object to determine the environment.\n * @returns {boolean} True if the runtime is Deno, false otherwise.\n */\nfunction isDeno() {\n  if (\"Deno\" in globalThis) {\n    return true;\n  }\n\n  return false;\n}\n\nlet envMemo: Env | undefined = undefined;\n/**\n * Reads and validates environment variables.\n */\nexport function env(): Env {\n  if (envMemo) {\n    return envMemo;\n  }\n\n  const globals = globalThis as {\n    Deno?: { env?: { toObject?: () => Record<string, string | undefined> } };\n    process?: { env?: Record<string, string | undefined> };\n  };\n\n  let envObject: Record<string, unknown> = {};\n  if (isDeno()) {\n    envObject = globals.Deno?.env?.toObject?.() ?? {};\n  } else {\n    envObject = globals.process?.env ?? {};\n  }\n\n  envMemo = envObject as unknown as Env;\n  return envMemo;\n}\n\n/**\n * Clears the cached env object. Useful for testing with a fresh environment.\n */\nexport function resetEnv() {\n  envMemo = undefined;\n}\n\n/**\n * Populates global parameters with environment variables.\n */\nexport function fillGlobals(options: SDKOptions): SDKOptions {\n  const clone = { ...options };\n\n  const envVars = env();\n\n  if (typeof envVars.GOOGLE_GENAI_API_VERSION !== \"undefined\") {\n    clone.api_version ??= envVars.GOOGLE_GENAI_API_VERSION;\n  }\n  if (typeof envVars.GOOGLE_GENAI_USER_PROJECT !== \"undefined\") {\n    clone.user_project ??= envVars.GOOGLE_GENAI_USER_PROJECT;\n  }\n\n  return clone;\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\nimport * as models from \"../models/index.js\";\nimport { env } from \"../lib/env.js\";\nimport { RequestInput } from \"../lib/http.js\";\nimport {\n  BeforeCreateRequestContext,\n  BeforeCreateRequestHook,\n  BeforeRequestContext,\n  BeforeRequestHook,\n} from \"./types.js\";\n\nexport const GOOGLE_GENAI_API_REVISION = \"2026-05-20\";\n\ntype GoogleGenAISecurity = models.Security;\n\ntype GoogleGenAISecurityResolver = {\n  defaultHeaders?: HeadersInit | undefined;\n  getDefaultHeaders?: () => HeadersInit | undefined;\n  resolveGoogleGenAISecurity?: (\n    url: string,\n  ) =>\n    | GoogleGenAISecurity\n    | undefined\n    | Promise<GoogleGenAISecurity | undefined>;\n};\n\nexport class GoogleGenAISecurityProvider {\n  constructor(\n    private readonly options: {\n      defaultHeaders?: HeadersInit | undefined;\n      getAuthHeaders: (url?: string) => Headers | Promise<Headers>;\n    },\n  ) {}\n\n  getDefaultHeaders(): HeadersInit | undefined {\n    return this.options.defaultHeaders;\n  }\n\n  async resolveGoogleGenAISecurity(\n    url: string,\n  ): Promise<GoogleGenAISecurity | undefined> {\n    return securityFromHeaders(await this.options.getAuthHeaders(url));\n  }\n}\n\nexport class GoogleGenAIAuthHook\n  implements BeforeCreateRequestHook, BeforeRequestHook\n{\n  beforeCreateRequest(\n    _hookCtx: BeforeCreateRequestContext,\n    input: RequestInput,\n  ): RequestInput {\n    return {\n      ...input,\n      url: decodeSDKLevelAPIVersionPath(input.url),\n    };\n  }\n\n  async beforeRequest(\n    hookCtx: BeforeRequestContext,\n    request: Request,\n  ): Promise<Request> {\n    applyDefaultHeaders(\n      request.headers,\n      getStaticDefaultHeaders(hookCtx.security_source),\n    );\n    applyUserProject(hookCtx, request.headers);\n\n    if (hasAuthHeaders(request.headers)) {\n      return request;\n    }\n\n    const security = await resolveSecurity(\n      hookCtx.security_source,\n      request.url,\n    );\n    applyDefaultHeaders(request.headers, security?.default_headers);\n    applyAuth(request.headers, security);\n\n    return request;\n  }\n}\n\nfunction decodeSDKLevelAPIVersionPath(url: URL): URL {\n  const [, apiVersion, ...rest] = url.pathname.split(\"/\");\n  if (!apiVersion) {\n    return url;\n  }\n\n  const decodedAPIVersion = decodeURIComponent(apiVersion);\n  if (!decodedAPIVersion.includes(\"/\")) {\n    return url;\n  }\n\n  const nextURL = new URL(url);\n  nextURL.pathname = `/${decodedAPIVersion}/${rest.join(\"/\")}`;\n  return nextURL;\n}\n\nasync function resolveSecurity(\n  securitySource: unknown,\n  requestURL: string,\n): Promise<GoogleGenAISecurity | undefined> {\n  if (isSecurityResolver(securitySource)) {\n    return securitySource.resolveGoogleGenAISecurity(requestURL);\n  }\n\n  const security =\n    typeof securitySource === \"function\"\n      ? await securitySource()\n      : securitySource;\n\n  if (isSecurity(security)) {\n    return withEnvSecurity(security);\n  }\n\n  return withEnvSecurity(undefined);\n}\n\nfunction getStaticDefaultHeaders(\n  securitySource: unknown,\n): HeadersInit | undefined {\n  if (isSecurityResolver(securitySource)) {\n    return (\n      securitySource.getDefaultHeaders?.() ?? securitySource.defaultHeaders\n    );\n  }\n\n  if (isSecurity(securitySource)) {\n    return securitySource.default_headers;\n  }\n\n  return undefined;\n}\n\nfunction withEnvSecurity(\n  security: GoogleGenAISecurity | undefined,\n): GoogleGenAISecurity | undefined {\n  const envVars = env();\n  const nextSecurity: GoogleGenAISecurity = {\n    ...security,\n    api_key: security?.api_key ?? envVars.GOOGLE_GENAI_API_KEY,\n    access_token: security?.access_token ?? envVars.GOOGLE_GENAI_ACCESS_TOKEN,\n  };\n\n  return hasSecurityValue(nextSecurity) ? nextSecurity : undefined;\n}\n\nfunction securityFromHeaders(\n  headers: Headers,\n): GoogleGenAISecurity | undefined {\n  const defaultHeaders: Record<string, string> = {};\n\n  for (const [key, value] of headers) {\n    const lowerKey = key.toLowerCase();\n    if (lowerKey !== \"authorization\" && lowerKey !== \"x-goog-api-key\") {\n      defaultHeaders[key] = value;\n    }\n  }\n\n  const security: GoogleGenAISecurity = {\n    access_token: headers.get(\"authorization\") ?? undefined,\n    api_key: headers.get(\"x-goog-api-key\") ?? undefined,\n    default_headers: Object.keys(defaultHeaders).length\n      ? defaultHeaders\n      : undefined,\n  };\n\n  return hasSecurityValue(security) ? security : undefined;\n}\n\nfunction applyDefaultHeaders(\n  target: Headers,\n  source: HeadersInit | undefined,\n): void {\n  if (!source) {\n    return;\n  }\n\n  for (const [key, value] of new Headers(source)) {\n    if (target.get(key) === null) {\n      target.set(key, value);\n    }\n  }\n}\n\nfunction applyUserProject(\n  hookCtx: BeforeRequestContext,\n  headers: Headers,\n): void {\n  if (\n    hookCtx.options.user_project !== undefined &&\n    headers.get(\"x-goog-user-project\") === null\n  ) {\n    headers.set(\"x-goog-user-project\", hookCtx.options.user_project);\n  }\n}\n\nfunction applyAuth(\n  headers: Headers,\n  security: GoogleGenAISecurity | undefined,\n): void {\n  if (!security) {\n    return;\n  }\n\n  if (security.api_key) {\n    headers.set(\"x-goog-api-key\", security.api_key);\n    return;\n  }\n\n  if (security.access_token) {\n    headers.set(\"Authorization\", bearer(security.access_token));\n  }\n}\n\nfunction hasAuthHeaders(headers: Headers): boolean {\n  return (\n    headers.get(\"authorization\") !== null ||\n    headers.get(\"x-goog-api-key\") !== null\n  );\n}\n\nfunction bearer(token: string): string {\n  return token.slice(0, 7).toLowerCase() === \"bearer \"\n    ? token\n    : `Bearer ${token}`;\n}\n\nfunction isSecurity(value: unknown): value is GoogleGenAISecurity {\n  return typeof value === \"object\" && value !== null;\n}\n\nfunction isSecurityResolver(\n  value: unknown,\n): value is GoogleGenAISecurityResolver & {\n  resolveGoogleGenAISecurity: NonNullable<\n    GoogleGenAISecurityResolver[\"resolveGoogleGenAISecurity\"]\n  >;\n} {\n  return (\n    typeof value === \"object\" &&\n    value !== null &&\n    \"resolveGoogleGenAISecurity\" in value &&\n    typeof value.resolveGoogleGenAISecurity === \"function\"\n  );\n}\n\nfunction hasSecurityValue(security: GoogleGenAISecurity): boolean {\n  return (\n    security.api_key !== undefined ||\n    security.access_token !== undefined ||\n    security.default_headers !== undefined\n  );\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\n/**\n * Base class for all HTTP errors.\n */\nexport class HTTPClientError extends Error {\n  /** The underlying cause of the error. */\n  override readonly cause: unknown;\n  override name = \"HTTPClientError\";\n  constructor(message: string, opts?: { cause?: unknown }) {\n    let msg = message;\n    if (opts?.cause) {\n      msg += `: ${opts.cause}`;\n    }\n\n    super(msg, opts);\n    // In older runtimes, the cause field would not have been assigned through\n    // the super() call.\n    if (typeof this.cause === \"undefined\") {\n      this.cause = opts?.cause;\n    }\n  }\n}\n\n/**\n * An error to capture unrecognised or unexpected errors when making HTTP calls.\n */\nexport class UnexpectedClientError extends HTTPClientError {\n  override name = \"UnexpectedClientError\";\n}\n\n/**\n * An error that is raised when any inputs used to create a request are invalid.\n */\nexport class InvalidRequestError extends HTTPClientError {\n  override name = \"InvalidRequestError\";\n}\n\n/**\n * An error that is raised when a HTTP request was aborted by the client error.\n */\nexport class RequestAbortedError extends HTTPClientError {\n  override readonly name = \"RequestAbortedError\";\n}\n\n/**\n * An error that is raised when a HTTP request timed out due to an AbortSignal\n * signal timeout.\n */\nexport class RequestTimeoutError extends HTTPClientError {\n  override readonly name = \"RequestTimeoutError\";\n}\n\n/**\n * An error that is raised when a HTTP client is unable to make a request to\n * a server.\n */\nexport class ConnectionError extends HTTPClientError {\n  override readonly name = \"ConnectionError\";\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\n/** The base class for all HTTP error responses */\nexport class GoogleGenAiError extends Error {\n  /** HTTP status code */\n  public readonly statusCode: number | undefined;\n  /** HTTP body */\n  public readonly body: string;\n  /** HTTP headers */\n  public readonly headers: Headers | undefined;\n  /** HTTP content type */\n  public readonly contentType: string;\n  /** Raw response */\n  public readonly rawResponse: Response | undefined;\n\n  constructor(\n    message: string,\n    httpMeta?: {\n      response?: Response | undefined;\n      request?: Request | undefined;\n      body?: string | undefined;\n    },\n  ) {\n    super(message);\n    this.statusCode = httpMeta?.response?.status;\n    this.body = httpMeta?.body ?? \"\";\n    this.headers = httpMeta?.response?.headers;\n    this.contentType = httpMeta?.response?.headers.get(\"content-type\") || \"\";\n    this.rawResponse = httpMeta?.response;\n\n    this.name = \"GoogleGenAiError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\nimport {\n  ConnectionError,\n  HTTPClientError,\n  RequestAbortedError,\n  RequestTimeoutError,\n} from \"../models/errors/http-client-errors.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\n\nexport class GeminiNextGenAPIClientError extends Error {}\n\n/** General errors raised by the GenAI API. */\nexport class APIError<\n  TStatus extends number | undefined = number | undefined,\n  THeaders extends Headers | undefined = Headers | undefined,\n  TError extends object | undefined = object | undefined,\n> extends GeminiNextGenAPIClientError {\n  /** HTTP status for the response that caused the error */\n  readonly status: TStatus;\n  /** HTTP headers for the response that caused the error */\n  readonly headers: THeaders;\n  /** JSON body of the response that caused the error */\n  readonly error: TError;\n  /** HTTP status code */\n  readonly statusCode: TStatus;\n  /** HTTP body */\n  readonly body: string;\n  /** HTTP content type */\n  readonly contentType: string;\n  /** Raw response */\n  readonly rawResponse: Response | undefined;\n  override cause: unknown;\n\n  constructor(\n    status: TStatus,\n    error: TError,\n    message: string | undefined,\n    headers: THeaders,\n  ) {\n    super(APIError.makeMessage(status, error, message));\n\n    this.status = status;\n    this.headers = headers;\n    this.error = error;\n    this.statusCode = status;\n    this.body = stringifyErrorBody(error);\n    this.contentType = headers?.get(\"content-type\") || \"\";\n    this.rawResponse = undefined;\n    this.cause = undefined;\n    this.name = this.constructor.name;\n    Object.setPrototypeOf(this, new.target.prototype);\n  }\n\n  private static makeMessage(\n    status: number | undefined,\n    error: object | undefined,\n    message: string | undefined,\n  ): string {\n    const errorMessage =\n      error && isPlainObject(error) && typeof error[\"message\"] === \"string\"\n        ? error[\"message\"]\n        : undefined;\n    const errorBody = stringifyErrorBody(error);\n    const msg = errorMessage ?? message ?? (errorBody || \"An error occurred\");\n    const statusText = status ? `${status} ` : \"\";\n    return `${statusText}${msg}`;\n  }\n\n  static generate(\n    status: number | undefined,\n    errorResponse: object | undefined,\n    message: string | undefined,\n    headers: Headers | undefined,\n  ): APIError {\n    if (!status || !headers) {\n      return new APIConnectionError({\n        message,\n        cause: errorResponse instanceof Error ? errorResponse : undefined,\n      });\n    }\n\n    if (status === 400) {\n      return new BadRequestError(status, errorResponse, message, headers);\n    }\n    if (status === 401) {\n      return new AuthenticationError(status, errorResponse, message, headers);\n    }\n    if (status === 403) {\n      return new PermissionDeniedError(status, errorResponse, message, headers);\n    }\n    if (status === 404) {\n      return new NotFoundError(status, errorResponse, message, headers);\n    }\n    if (status === 409) {\n      return new ConflictError(status, errorResponse, message, headers);\n    }\n    if (status === 422) {\n      return new UnprocessableEntityError(\n        status,\n        errorResponse,\n        message,\n        headers,\n      );\n    }\n    if (status === 429) {\n      return new RateLimitError(status, errorResponse, message, headers);\n    }\n    if (status >= 500) {\n      return new InternalServerError(status, errorResponse, message, headers);\n    }\n    return new APIError(status, errorResponse, message, headers);\n  }\n}\n\nexport class APIUserAbortError extends APIError<\n  undefined,\n  undefined,\n  undefined\n> {\n  constructor({ message }: { message?: string } = {}) {\n    super(undefined, undefined, message || \"Request was aborted.\", undefined);\n  }\n}\n\nexport class APIConnectionError extends APIError<\n  undefined,\n  undefined,\n  undefined\n> {\n  constructor({\n    message,\n    cause,\n  }: {\n    message?: string | undefined;\n    cause?: Error | unknown | undefined;\n  }) {\n    super(undefined, undefined, message || \"Connection error.\", undefined);\n    this.cause = cause;\n  }\n}\n\nexport class APIConnectionTimeoutError extends APIConnectionError {\n  constructor({ message }: { message?: string } = {}) {\n    super({\n      message:\n        message ||\n        \"Request timed out. This is a client-side timeout. You can increase the timeout by setting the `timeout` argument in your request or client http options.\",\n    });\n  }\n}\n\nexport class BadRequestError extends APIError<400, Headers> {}\nexport class AuthenticationError extends APIError<401, Headers> {}\nexport class PermissionDeniedError extends APIError<403, Headers> {}\nexport class NotFoundError extends APIError<404, Headers> {}\nexport class ConflictError extends APIError<409, Headers> {}\nexport class UnprocessableEntityError extends APIError<422, Headers> {}\nexport class RateLimitError extends APIError<429, Headers> {}\nexport class InternalServerError extends APIError<number, Headers> {}\n\nexport function wrapSDKError(error: unknown): unknown {\n  if (isCompatAPIErrorInstance(error)) {\n    return error;\n  }\n\n  if (error instanceof GoogleGenAiError) {\n    return wrapAPIError(error);\n  }\n\n  if (error instanceof HTTPClientError) {\n    return wrapHTTPClientError(error);\n  }\n\n  return error;\n}\n\nfunction wrapAPIError(error: GoogleGenAiError): APIError {\n  const errorPayload = getErrorPayload(error);\n  const wrapped = APIError.generate(\n    error.statusCode,\n    errorPayload,\n    error.message,\n    error.headers,\n  ) as APIError;\n\n  defineReadonly(wrapped, \"body\", error.body);\n  defineReadonly(wrapped, \"contentType\", error.contentType);\n  defineReadonly(wrapped, \"rawResponse\", error.rawResponse);\n  defineReadonly(wrapped, \"statusCode\", error.statusCode);\n  defineReadonly(wrapped, \"cause\", error);\n\n  return wrapped;\n}\n\nfunction wrapHTTPClientError(error: HTTPClientError): APIConnectionError {\n  if (error instanceof RequestTimeoutError) {\n    return new APIConnectionTimeoutError({ message: error.message });\n  }\n  if (error instanceof RequestAbortedError) {\n    return new APIUserAbortError({ message: error.message });\n  }\n  if (error instanceof ConnectionError) {\n    return new APIConnectionError({ message: error.message, cause: error });\n  }\n  return new APIConnectionError({ message: error.message, cause: error });\n}\n\nfunction getErrorPayload(error: GoogleGenAiError): object | undefined {\n  const data = getObjectProperty(error, \"data$\");\n  if (data && typeof data === \"object\") {\n    return data as object;\n  }\n\n  try {\n    const parsed = JSON.parse(error.body) as unknown;\n    if (parsed && typeof parsed === \"object\") {\n      return parsed as object;\n    }\n  } catch {\n    // Fall through to generated error.error below.\n  }\n\n  const dataError = getObjectProperty(error, \"error\");\n  return dataError && typeof dataError === \"object\"\n    ? (dataError as object)\n    : undefined;\n}\n\nfunction getObjectProperty(value: unknown, key: string): unknown {\n  return value && typeof value === \"object\"\n    ? (value as Record<string, unknown>)[key]\n    : undefined;\n}\n\nfunction stringifyErrorBody(error: object | undefined): string {\n  if (!error) return \"\";\n  try {\n    return JSON.stringify(error);\n  } catch {\n    return String(error);\n  }\n}\n\nfunction isPlainObject(value: unknown): value is Record<string, unknown> {\n  return value !== null && typeof value === \"object\" && !Array.isArray(value);\n}\n\nfunction isCompatAPIErrorInstance(value: unknown): value is APIError {\n  // Avoid instanceof here so this guard never depends on Symbol.hasInstance.\n  return typeof value === \"object\" && value !== null\n    ? APIError.prototype.isPrototypeOf(value)\n    : false;\n}\n\nfunction defineReadonly<T extends object, K extends PropertyKey>(\n  target: T,\n  key: K,\n  value: unknown,\n): void {\n  Object.defineProperty(target, key, {\n    configurable: true,\n    enumerable: true,\n    value,\n    writable: false,\n  });\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\nimport { GoogleGenAIAuthHook } from \"./google-genai-auth.js\";\nimport { Hooks } from \"./types.js\";\n\n/*\n * This file is only ever generated once on the first generation and then is free to be modified.\n * Any hooks you wish to add should be registered in the initHooks function. Feel free to define them\n * in this file or in separate files in the hooks folder.\n */\n\nexport function initHooks(hooks: Hooks) {\n  // Add hooks by calling hooks.register{ClientInit/BeforeCreateRequest/BeforeRequest/AfterSuccess/AfterError}Hook\n  // with an instance of a hook that implements that specific Hook interface\n  // Hooks are registered per SDK instance, and are valid for the lifetime of the SDK instance\n  const googleGenAIAuthHook = new GoogleGenAIAuthHook();\n  hooks.registerBeforeCreateRequestHook(googleGenAIAuthHook);\n  hooks.registerBeforeRequestHook(googleGenAIAuthHook);\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { SDKOptions } from \"../lib/config.js\";\nimport { RequestInput } from \"../lib/http.js\";\nimport {\n  AfterErrorContext,\n  AfterErrorHook,\n  AfterSuccessContext,\n  AfterSuccessHook,\n  BeforeCreateRequestContext,\n  BeforeCreateRequestHook,\n  BeforeRequestContext,\n  BeforeRequestHook,\n  Hook,\n  Hooks,\n  SDKInitHook,\n} from \"./types.js\";\n\nimport { initHooks } from \"./registration.js\";\n\nexport class SDKHooks implements Hooks {\n  sdkInitHooks: SDKInitHook[] = [];\n  beforeCreateRequestHooks: BeforeCreateRequestHook[] = [];\n  beforeRequestHooks: BeforeRequestHook[] = [];\n  afterSuccessHooks: AfterSuccessHook[] = [];\n  afterErrorHooks: AfterErrorHook[] = [];\n\n  constructor() {\n    const presetHooks: Array<Hook> = [];\n\n    for (const hook of presetHooks) {\n      if (\"sdkInit\" in hook) {\n        this.registerSDKInitHook(hook);\n      }\n      if (\"beforeCreateRequest\" in hook) {\n        this.registerBeforeCreateRequestHook(hook);\n      }\n      if (\"beforeRequest\" in hook) {\n        this.registerBeforeRequestHook(hook);\n      }\n      if (\"afterSuccess\" in hook) {\n        this.registerAfterSuccessHook(hook);\n      }\n      if (\"afterError\" in hook) {\n        this.registerAfterErrorHook(hook);\n      }\n    }\n    initHooks(this);\n  }\n\n  registerSDKInitHook(hook: SDKInitHook) {\n    this.sdkInitHooks.push(hook);\n  }\n\n  registerBeforeCreateRequestHook(hook: BeforeCreateRequestHook) {\n    this.beforeCreateRequestHooks.push(hook);\n  }\n\n  registerBeforeRequestHook(hook: BeforeRequestHook) {\n    this.beforeRequestHooks.push(hook);\n  }\n\n  registerAfterSuccessHook(hook: AfterSuccessHook) {\n    this.afterSuccessHooks.push(hook);\n  }\n\n  registerAfterErrorHook(hook: AfterErrorHook) {\n    this.afterErrorHooks.push(hook);\n  }\n\n  sdkInit(opts: SDKOptions): SDKOptions {\n    return this.sdkInitHooks.reduce((opts, hook) => hook.sdkInit(opts), opts);\n  }\n\n  beforeCreateRequest(\n    hookCtx: BeforeCreateRequestContext,\n    input: RequestInput,\n  ): RequestInput {\n    let inp = input;\n\n    for (const hook of this.beforeCreateRequestHooks) {\n      inp = hook.beforeCreateRequest(hookCtx, inp);\n    }\n\n    return inp;\n  }\n\n  async beforeRequest(\n    hookCtx: BeforeRequestContext,\n    request: Request,\n  ): Promise<Request> {\n    let req = request;\n\n    for (const hook of this.beforeRequestHooks) {\n      req = await hook.beforeRequest(hookCtx, req);\n    }\n\n    return req;\n  }\n\n  async afterSuccess(\n    hookCtx: AfterSuccessContext,\n    response: Response,\n  ): Promise<Response> {\n    let res = response;\n\n    for (const hook of this.afterSuccessHooks) {\n      res = await hook.afterSuccess(hookCtx, res);\n    }\n\n    return res;\n  }\n\n  async afterError(\n    hookCtx: AfterErrorContext,\n    response: Response | null,\n    error: unknown,\n  ): Promise<{ response: Response | null; error: unknown }> {\n    let res = response;\n    let err = error;\n\n    for (const hook of this.afterErrorHooks) {\n      const result = await hook.afterError(hookCtx, res, err);\n      res = result.response;\n      err = result.error;\n    }\n\n    return { response: res, error: err };\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\n/**\n * A monad that captures the result of a function call or an error if it was not\n * successful. Railway programming, enabled by this type, can be a nicer\n * alternative to traditional exception throwing because it allows functions to\n * declare all _known_ errors with static types and then check for them\n * exhaustively in application code. Thrown exception have a type of `unknown`\n * and break out of regular control flow of programs making them harder to\n * inspect and more verbose work with due to try-catch blocks.\n */\nexport type Result<T, E = unknown> =\n  | { ok: true; value: T; error?: never }\n  | { ok: false; value?: never; error: E };\n\nexport function OK<V>(value: V): Result<V, never> {\n  return { ok: true, value };\n}\n\nexport function ERR<E>(error: E): Result<never, E> {\n  return { ok: false, error };\n}\n\n/**\n * unwrap is a convenience function for extracting a value from a result or\n * throwing if there was an error.\n */\nexport function unwrap<T>(r: Result<T, unknown>): T {\n  if (!r.ok) {\n    throw r.error;\n  }\n  return r.value;\n}\n\n/**\n * unwrapAsync is a convenience function for resolving a value from a Promise\n * of a result or rejecting if an error occurred.\n */\nexport async function unwrapAsync<T>(\n  pr: Promise<Result<T, unknown>>,\n): Promise<T> {\n  const r = await pr;\n  if (!r.ok) {\n    throw r.error;\n  }\n\n  return r.value;\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nexport function bytesToBase64(u8arr: Uint8Array): string {\n  return btoa(String.fromCodePoint(...u8arr));\n}\n\nexport function bytesFromBase64(encoded: string): Uint8Array {\n  return Uint8Array.from(atob(encoded), (c) => c.charCodeAt(0));\n}\n\nexport function stringToBytes(str: string): Uint8Array {\n  return new TextEncoder().encode(str);\n}\n\nexport function stringFromBytes(u8arr: Uint8Array): string {\n  return new TextDecoder().decode(u8arr);\n}\n\nexport function stringToBase64(str: string): string {\n  return bytesToBase64(stringToBytes(str));\n}\n\nexport function stringFromBase64(b64str: string): string {\n  return stringFromBytes(bytesFromBase64(b64str));\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nconst hasOwn = Object.prototype.hasOwnProperty;\n\nexport type Params = Partial<Record<string, string | number>>;\n\nexport function pathToFunc(\n  pathPattern: string,\n  options?: { charEncoding?: \"percent\" | \"none\" },\n): (params?: Params) => string {\n  const paramRE = /\\{([a-zA-Z0-9_][a-zA-Z0-9_-]*?)\\}/g;\n\n  return function buildURLPath(params: Record<string, unknown> = {}): string {\n    return pathPattern\n      .replace(paramRE, function (_, placeholder) {\n        if (!hasOwn.call(params, placeholder)) {\n          throw new Error(`Parameter '${placeholder}' is required`);\n        }\n\n        const value = params[placeholder];\n        if (typeof value !== \"string\" && typeof value !== \"number\") {\n          throw new Error(\n            `Parameter '${placeholder}' must be a string or number`,\n          );\n        }\n\n        return options?.charEncoding === \"percent\"\n          ? encodeURIComponent(`${value}`)\n          : `${value}`;\n      })\n      .replace(/^\\/+/, \"\");\n  };\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as models from \"../models/index.js\";\nimport { HTTPClient } from \"./http.js\";\nimport { Logger } from \"./logger.js\";\nimport { RetryConfig } from \"./retries.js\";\nimport { Params, pathToFunc } from \"./url.js\";\n\n/**\n * Contains the list of servers available to the SDK\n */\nexport const ServerList = [\n  /**\n   * Global Endpoint\n   */\n  \"https://generativelanguage.googleapis.com\",\n] as const;\n\nexport type SDKOptions = {\n  /**\n   * The security details required to authenticate the SDK\n   */\n  security?: models.Security | (() => Promise<models.Security>) | undefined;\n\n  /**\n   * Allows setting the api_version parameter for all supported operations\n   */\n  api_version?: string | undefined;\n\n  /**\n   * Allows setting the user_project parameter for all supported operations\n   */\n  user_project?: string | undefined;\n\n  http_client?: HTTPClient;\n  /**\n   * Allows overriding the default server used by the SDK\n   */\n  server_idx?: number | undefined;\n  /**\n   * Allows overriding the default server URL used by the SDK\n   */\n  server_url?: string | undefined;\n  /**\n   * Allows overriding the default user agent used by the SDK\n   */\n  user_agent?: string | undefined;\n  /**\n   * Allows overriding the default retry config used by the SDK\n   */\n  retry_config?: RetryConfig;\n  timeout_ms?: number;\n  debug_logger?: Logger;\n};\n\nexport function serverURLFromOptions(options: SDKOptions): URL | null {\n  let serverURL = options.server_url;\n\n  const params: Params = {};\n\n  if (!serverURL) {\n    const serverIdx = options.server_idx ?? 0;\n    if (serverIdx < 0 || serverIdx >= ServerList.length) {\n      throw new Error(`Invalid server index ${serverIdx}`);\n    }\n    serverURL = ServerList[serverIdx] || \"\";\n  }\n\n  const u = pathToFunc(serverURL)(params);\n  return new URL(u);\n}\n\nexport const SDK_METADATA = {\n  language: \"typescript\",\n  openapiDocVersion: \"v1beta\",\n  sdkVersion: \"2.4.1-preview.4\",\n  genVersion: \"2.913.3\",\n  userAgent:\n    \"speakeasy-sdk/typescript 2.4.1-preview.4 2.913.3 v1beta @google/genai\",\n} as const;\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nclass InvariantError extends Error {\n  constructor(message: string) {\n    super(message);\n    this.name = \"InvariantError\";\n  }\n}\n\nexport function invariant(\n  condition: unknown,\n  message: string,\n): asserts condition {\n  if (!condition) {\n    throw new InvariantError(message);\n  }\n}\n\nexport type ExactPartial<T> = {\n  [P in keyof T]?: T[P] | undefined;\n};\n\nexport type Remap<Inp, Mapping extends { [k in keyof Inp]?: string | null }> = {\n  [k in keyof Inp as Mapping[k] extends string /* if we have a string mapping for this key then use it */\n    ? Mapping[k]\n    : Mapping[k] extends null /* if the mapping is to `null` then drop the key */\n    ? never\n    : k /* otherwise keep the key as-is */]: Inp[k];\n};\n\n/**\n * Converts or omits an object's keys according to a mapping.\n *\n * @param inp An object whose keys will be remapped\n * @param mappings A mapping of original keys to new keys. If a key is not present in the mapping, it will be left as is. If a key is mapped to `null`, it will be removed in the resulting object.\n * @returns A new object with keys remapped or omitted according to the mappings\n */\nexport function remap<\n  Inp extends Record<string, unknown>,\n  const Mapping extends { [k in keyof Inp]?: string | null },\n>(inp: Inp, mappings: Mapping): Remap<Inp, Mapping> {\n  let out: any = {};\n\n  if (!Object.keys(mappings).length) {\n    out = inp;\n    return out;\n  }\n\n  for (const [k, v] of Object.entries(inp)) {\n    const j = mappings[k];\n    if (j === null) {\n      continue;\n    }\n    out[j ?? k] = v;\n  }\n\n  return out;\n}\n\nexport function combineSignals(\n  ...signals: Array<AbortSignal | null | undefined>\n): AbortSignal | null {\n  const filtered: AbortSignal[] = [];\n  for (const signal of signals) {\n    if (signal) {\n      filtered.push(signal);\n    }\n  }\n\n  switch (filtered.length) {\n    case 0:\n    case 1:\n      return filtered[0] || null;\n    default:\n      if (\"any\" in AbortSignal && typeof AbortSignal.any === \"function\") {\n        return AbortSignal.any(filtered);\n      }\n      return abortSignalAny(filtered);\n  }\n}\n\nexport function abortSignalAny(signals: AbortSignal[]): AbortSignal {\n  const controller = new AbortController();\n  const result = controller.signal;\n  if (!signals.length) {\n    return controller.signal;\n  }\n\n  if (signals.length === 1) {\n    return signals[0] || controller.signal;\n  }\n\n  for (const signal of signals) {\n    if (signal.aborted) {\n      return signal;\n    }\n  }\n\n  function abort(this: AbortSignal) {\n    controller.abort(this.reason);\n    clean();\n  }\n\n  const signalRefs: WeakRef<AbortSignal>[] = [];\n  function clean() {\n    for (const signalRef of signalRefs) {\n      const signal = signalRef.deref();\n      if (signal) {\n        signal.removeEventListener(\"abort\", abort);\n      }\n    }\n  }\n\n  for (const signal of signals) {\n    signalRefs.push(new WeakRef(signal));\n    signal.addEventListener(\"abort\", abort);\n  }\n\n  return result;\n}\n\nexport function compactMap<T>(\n  values: Record<string, T | undefined>,\n): Record<string, T> {\n  const out: Record<string, T> = {};\n\n  for (const [k, v] of Object.entries(values)) {\n    if (typeof v !== \"undefined\") {\n      out[k] = v;\n    }\n  }\n\n  return out;\n}\n\nexport function allRequired<V extends Record<string, unknown>>(\n  v: V,\n):\n  | {\n      [K in keyof V]: NonNullable<V[K]>;\n    }\n  | undefined {\n  if (Object.values(v).every((x) => x == null)) {\n    return void 0;\n  }\n\n  return v as ReturnType<typeof allRequired<V>>;\n}\n\nexport function isPlainObject(\n  value: unknown,\n): value is Record<string, unknown> {\n  if (value === null || typeof value !== \"object\") return false;\n  if (Object.prototype.toString.call(value) !== \"[object Object]\") return false;\n  const proto = Object.getPrototypeOf(value);\n  if (proto === null || proto === Object.prototype) return true;\n  // cross-realm plain objects (vm contexts, iframes) inherit from a\n  // different realm's Object.prototype, which itself has a null prototype\n  try {\n    return Object.getPrototypeOf(proto) === null;\n  } catch {\n    return false;\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { bytesToBase64 } from \"./base64.js\";\nimport { isPlainObject } from \"./primitives.js\";\n\nexport class EncodingError extends Error {\n  constructor(message: string) {\n    super(message);\n    this.name = \"EncodingError\";\n  }\n}\n\nexport function encodeMatrix(\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n): string | undefined {\n  let out = \"\";\n  const pairs: [string, unknown][] = options?.explode\n    ? explode(key, value)\n    : [[key, value]];\n\n  if (pairs.every(([_, v]) => v == null)) {\n    return;\n  }\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n  const encodeValue = (v: unknown) => encodeString(serializeValue(v));\n\n  pairs.forEach(([pk, pv]) => {\n    let tmp = \"\";\n    let encValue: string | null | undefined = null;\n\n    if (pv == null) {\n      return;\n    } else if (Array.isArray(pv)) {\n      encValue = mapDefined(pv, (v) => `${encodeValue(v)}`)?.join(\",\");\n    } else if (isPlainObject(pv)) {\n      const mapped = mapDefinedEntries(Object.entries(pv), ([k, v]) => {\n        return `,${encodeString(k)},${encodeValue(v)}`;\n      });\n      encValue = mapped?.join(\"\").slice(1);\n    } else {\n      encValue = `${encodeValue(pv)}`;\n    }\n\n    if (encValue == null) {\n      return;\n    }\n\n    const keyPrefix = encodeString(pk);\n    tmp = `${keyPrefix}=${encValue}`;\n    // trim trailing '=' if value was empty\n    if (tmp === `${keyPrefix}=`) {\n      tmp = tmp.slice(0, -1);\n    }\n\n    // If we end up with the nothing then skip forward\n    if (!tmp) {\n      return;\n    }\n\n    out += `;${tmp}`;\n  });\n\n  return out;\n}\n\nexport function encodeLabel(\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n): string | undefined {\n  let out = \"\";\n  const pairs: [string, unknown][] = options?.explode\n    ? explode(key, value)\n    : [[key, value]];\n\n  if (pairs.every(([_, v]) => v == null)) {\n    return;\n  }\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n  const encodeValue = (v: unknown) => encodeString(serializeValue(v));\n\n  pairs.forEach(([pk, pv]) => {\n    let encValue: string | null | undefined = \"\";\n\n    if (pv == null) {\n      return;\n    } else if (Array.isArray(pv)) {\n      encValue = mapDefined(pv, (v) => `${encodeValue(v)}`)?.join(\".\");\n    } else if (isPlainObject(pv)) {\n      const mapped = mapDefinedEntries(Object.entries(pv), ([k, v]) => {\n        return `.${encodeString(k)}.${encodeValue(v)}`;\n      });\n      encValue = mapped?.join(\"\").slice(1);\n    } else {\n      const k = options?.explode && isPlainObject(value)\n        ? `${encodeString(pk)}=`\n        : \"\";\n      encValue = `${k}${encodeValue(pv)}`;\n    }\n\n    out += encValue == null ? \"\" : `.${encValue}`;\n  });\n\n  return out;\n}\n\ntype FormEncoder = (\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n) => string | undefined;\n\nfunction formEncoder(sep: string): FormEncoder {\n  return (\n    key: string,\n    value: unknown,\n    options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n  ) => {\n    let out = \"\";\n    const pairs: [string, unknown][] = options?.explode\n      ? explode(key, value)\n      : [[key, value]];\n\n    if (pairs.every(([_, v]) => v == null)) {\n      return;\n    }\n\n    const encodeString = (v: string) => {\n      return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n    };\n\n    const encodeValue = (v: unknown) => encodeString(serializeValue(v));\n\n    const encodedSep = encodeString(sep);\n\n    pairs.forEach(([pk, pv]) => {\n      let tmp = \"\";\n      let encValue: string | null | undefined = null;\n\n      if (pv == null) {\n        return;\n      } else if (Array.isArray(pv)) {\n        encValue = mapDefined(pv, (v) => `${encodeValue(v)}`)?.join(encodedSep);\n      } else if (isPlainObject(pv)) {\n        encValue = mapDefinedEntries(Object.entries(pv), ([k, v]) => {\n          return `${encodeString(k)}${encodedSep}${encodeValue(v)}`;\n        })?.join(encodedSep);\n      } else {\n        encValue = `${encodeValue(pv)}`;\n      }\n\n      if (encValue == null) {\n        return;\n      }\n\n      tmp = `${encodeString(pk)}=${encValue}`;\n\n      // If we end up with the nothing then skip forward\n      if (!tmp || tmp === \"=\") {\n        return;\n      }\n\n      out += `&${tmp}`;\n    });\n\n    return out.slice(1);\n  };\n}\n\nexport const encodeForm = formEncoder(\",\");\nexport const encodeSpaceDelimited = formEncoder(\" \");\nexport const encodePipeDelimited = formEncoder(\"|\");\n\nexport function encodeBodyForm(\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n): string {\n  let out = \"\";\n  const pairs: [string, unknown][] = options?.explode\n    ? explode(key, value)\n    : [[key, value]];\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n\n  const encodeValue = (v: unknown) => encodeString(serializeValue(v));\n\n  pairs.forEach(([pk, pv]) => {\n    let tmp = \"\";\n    let encValue = \"\";\n\n    if (pv == null) {\n      return;\n    } else if (Array.isArray(pv)) {\n      encValue = JSON.stringify(pv, jsonReplacer);\n    } else if (isPlainObject(pv)) {\n      encValue = JSON.stringify(pv, jsonReplacer);\n    } else {\n      encValue = `${encodeValue(pv)}`;\n    }\n\n    tmp = `${encodeString(pk)}=${encValue}`;\n\n    // If we end up with the nothing then skip forward\n    if (!tmp || tmp === \"=\") {\n      return;\n    }\n\n    out += `&${tmp}`;\n  });\n\n  return out.slice(1);\n}\n\nexport function encodeDeepObject(\n  key: string,\n  value: unknown,\n  options?: { charEncoding?: \"percent\" | \"none\" },\n): string | undefined {\n  if (value == null) {\n    return;\n  }\n\n  if (!isPlainObject(value)) {\n    throw new EncodingError(\n      `Value of parameter '${key}' which uses deepObject encoding must be an object or null`,\n    );\n  }\n\n  return encodeDeepObjectObject(key, value, options);\n}\n\nexport function encodeDeepObjectObject(\n  key: string,\n  value: unknown,\n  options?: { charEncoding?: \"percent\" | \"none\" },\n): string | undefined {\n  if (value == null) {\n    return;\n  }\n\n  let out = \"\";\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n\n  if (!isPlainObject(value)) {\n    throw new EncodingError(`Expected parameter '${key}' to be an object.`);\n  }\n\n  Object.entries(value).forEach(([ck, cv]) => {\n    if (cv == null) {\n      return;\n    }\n\n    const pk = `${key}[${ck}]`;\n\n    if (isPlainObject(cv)) {\n      const objOut = encodeDeepObjectObject(pk, cv, options);\n\n      out += objOut == null ? \"\" : `&${objOut}`;\n\n      return;\n    }\n\n    const pairs: unknown[] = Array.isArray(cv) ? cv : [cv];\n    const encoded = mapDefined(pairs, (v) => {\n      return `${encodeString(pk)}=${encodeString(serializeValue(v))}`;\n    })?.join(\"&\");\n\n    out += encoded == null ? \"\" : `&${encoded}`;\n  });\n\n  return out.slice(1);\n}\n\nexport function encodeJSON(\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n): string | undefined {\n  if (typeof value === \"undefined\") {\n    return;\n  }\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n\n  const encVal = encodeString(JSON.stringify(value, jsonReplacer));\n\n  return options?.explode ? encVal : `${encodeString(key)}=${encVal}`;\n}\n\nexport const encodeSimple = (\n  key: string,\n  value: unknown,\n  options?: { explode?: boolean; charEncoding?: \"percent\" | \"none\" },\n): string | undefined => {\n  let out = \"\";\n  const pairs: [string, unknown][] = options?.explode\n    ? explode(key, value)\n    : [[key, value]];\n\n  if (pairs.every(([_, v]) => v == null)) {\n    return;\n  }\n\n  const encodeString = (v: string) => {\n    return options?.charEncoding === \"percent\" ? encodeURIComponent(v) : v;\n  };\n  const encodeValue = (v: unknown) => encodeString(serializeValue(v));\n\n  pairs.forEach(([pk, pv]) => {\n    let tmp: string | null | undefined = \"\";\n\n    if (pv == null) {\n      return;\n    } else if (Array.isArray(pv)) {\n      tmp = mapDefined(pv, (v) => `${encodeValue(v)}`)?.join(\",\");\n    } else if (isPlainObject(pv)) {\n      const mapped = mapDefinedEntries(Object.entries(pv), ([k, v]) => {\n        return `,${encodeString(k)},${encodeValue(v)}`;\n      });\n      tmp = mapped?.join(\"\").slice(1);\n    } else {\n      const k = options?.explode && isPlainObject(value) ? `${pk}=` : \"\";\n      tmp = `${k}${encodeValue(pv)}`;\n    }\n\n    out += tmp ? `,${tmp}` : \"\";\n  });\n\n  return out.slice(1);\n};\n\nfunction explode(key: string, value: unknown): [string, unknown][] {\n  if (Array.isArray(value)) {\n    return value.map((v) => [key, v]);\n  } else if (isPlainObject(value)) {\n    const o = value ?? {};\n    return Object.entries(o).map(([k, v]) => [k, v]);\n  } else {\n    return [[key, value]];\n  }\n}\n\nfunction serializeValue(value: unknown): string {\n  if (value == null) {\n    return \"\";\n  } else if (value instanceof Date) {\n    return value.toISOString();\n  } else if (value instanceof Uint8Array) {\n    return bytesToBase64(value);\n  } else if (typeof value === \"object\") {\n    return JSON.stringify(value, jsonReplacer);\n  }\n\n  return `${value}`;\n}\n\nfunction jsonReplacer(_: string, value: unknown): unknown {\n  if (value instanceof Uint8Array) {\n    return bytesToBase64(value);\n  } else {\n    return value;\n  }\n}\n\nfunction mapDefined<T, R>(inp: T[], mapper: (v: T) => R): R[] | null {\n  const res = inp.reduce<R[]>((acc, v) => {\n    if (v == null) {\n      return acc;\n    }\n\n    const m = mapper(v);\n    if (m == null) {\n      return acc;\n    }\n\n    acc.push(m);\n\n    return acc;\n  }, []);\n\n  return res.length ? res : null;\n}\n\nfunction mapDefinedEntries<K, V, R>(\n  inp: Iterable<[K, V]>,\n  mapper: (v: [K, V]) => R,\n): R[] | null {\n  const acc: R[] = [];\n  for (const [k, v] of inp) {\n    if (v == null) {\n      continue;\n    }\n\n    const m = mapper([k, v]);\n    if (m == null) {\n      continue;\n    }\n\n    acc.push(m);\n  }\n\n  return acc.length ? acc : null;\n}\n\nexport function queryJoin(...args: (string | undefined)[]): string {\n  return args.filter(Boolean).join(\"&\");\n}\n\ntype QueryEncoderOptions = {\n  explode?: boolean;\n  charEncoding?: \"percent\" | \"none\";\n  allowEmptyValue?: string[];\n};\n\ntype QueryEncoder = (\n  key: string,\n  value: unknown,\n  options?: QueryEncoderOptions,\n) => string | undefined;\n\ntype BulkQueryEncoder = (\n  values: Record<string, unknown>,\n  options?: QueryEncoderOptions,\n) => string;\n\nexport function queryEncoder(f: QueryEncoder): BulkQueryEncoder {\n  const bulkEncode = function(\n    values: Record<string, unknown>,\n    options?: QueryEncoderOptions,\n  ): string {\n    const opts: QueryEncoderOptions = {\n      ...options,\n      explode: options?.explode ?? true,\n      charEncoding: options?.charEncoding ?? \"percent\",\n    };\n\n    const allowEmptySet = new Set(options?.allowEmptyValue ?? []);\n\n    const encoded = Object.entries(values).map(([key, value]) => {\n      if (allowEmptySet.has(key)) {\n        if (\n          value === undefined\n          || value === null\n          || value === \"\"\n          || (Array.isArray(value) && value.length === 0)\n        ) {\n          return `${encodeURIComponent(key)}=`;\n        }\n      }\n      return f(key, value, opts);\n    });\n    return queryJoin(...encoded);\n  };\n\n  return bulkEncode;\n}\n\nexport const encodeJSONQuery = queryEncoder(encodeJSON);\nexport const encodeFormQuery = queryEncoder(encodeForm);\nexport const encodeSpaceDelimitedQuery = queryEncoder(encodeSpaceDelimited);\nexport const encodePipeDelimitedQuery = queryEncoder(encodePipeDelimited);\nexport const encodeDeepObjectQuery = queryEncoder(encodeDeepObject);\n\nfunction isBlobLike(val: unknown): val is Blob {\n  if (val instanceof Blob) {\n    return true;\n  }\n\n  if (typeof val !== \"object\" || val == null || !(Symbol.toStringTag in val)) {\n    return false;\n  }\n\n  const tag = val[Symbol.toStringTag];\n  if (tag !== \"Blob\" && tag !== \"File\") {\n    return false;\n  }\n\n  return \"stream\" in val && typeof val.stream === \"function\";\n}\n\nexport function appendForm(\n  fd: FormData,\n  key: string,\n  value: unknown,\n  fileName?: string,\n): void {\n  if (value == null) {\n    return;\n  } else if (isBlobLike(value)) {\n    if (fileName) {\n      fd.append(key, value as Blob, fileName);\n    } else {\n      fd.append(key, value as Blob);\n    }\n  } else if (Array.isArray(value)) {\n    value.forEach((v) => {\n      appendForm(fd, key, v);\n    });\n  } else {\n    fd.append(key, String(value));\n  }\n}\n\nexport async function normalizeBlob(\n  value: Pick<Blob, \"arrayBuffer\" | \"type\">,\n): Promise<Blob> {\n  if (value instanceof Blob) {\n    return value;\n  }\n  return new Blob([await value.arrayBuffer()], { type: value.type });\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nexport type Fetcher = (\n  input: RequestInfo | URL,\n  init?: RequestInit,\n) => Promise<Response>;\n\nexport type Awaitable<T> = T | Promise<T>;\n\nconst DEFAULT_FETCHER: Fetcher = (input, init) => {\n  // If input is a Request and init is undefined, Bun will discard the method,\n  // headers, body and other options that were set on the request object.\n  // Node.js and browers would ignore an undefined init value. This check is\n  // therefore needed for interop with Bun.\n  if (init == null) {\n    return fetch(input);\n  } else {\n    return fetch(input, init);\n  }\n};\n\nexport type RequestInput = {\n  /**\n   * The URL the request will use.\n   */\n  url: URL;\n  /**\n   * Options used to create a [`Request`](https://developer.mozilla.org/en-US/docs/Web/API/Request/Request).\n   */\n  options?: RequestInit | undefined;\n};\n\nexport interface HTTPClientOptions {\n  fetcher?: Fetcher;\n}\n\nexport type BeforeRequestHook = (req: Request) => Awaitable<Request | void>;\nexport type RequestErrorHook = (err: unknown, req: Request) => Awaitable<void>;\nexport type ResponseHook = (res: Response, req: Request) => Awaitable<void>;\n\nexport class HTTPClient {\n  private fetcher: Fetcher;\n  private requestHooks: BeforeRequestHook[] = [];\n  private requestErrorHooks: RequestErrorHook[] = [];\n  private responseHooks: ResponseHook[] = [];\n\n  constructor(private options: HTTPClientOptions = {}) {\n    this.fetcher = options.fetcher || DEFAULT_FETCHER;\n  }\n\n  async request(request: Request): Promise<Response> {\n    let req = request;\n    for (const hook of this.requestHooks) {\n      const nextRequest = await hook(req);\n      if (nextRequest) {\n        req = nextRequest;\n      }\n    }\n\n    try {\n      const res = await this.fetcher(req);\n\n      for (const hook of this.responseHooks) {\n        await hook(res, req);\n      }\n\n      return res;\n    } catch (err) {\n      for (const hook of this.requestErrorHooks) {\n        await hook(err, req);\n      }\n\n      throw err;\n    }\n  }\n\n  /**\n   * Registers a hook that is called before a request is made. The hook function\n   * can mutate the request or return a new request. This may be useful to add\n   * additional information to request such as request IDs and tracing headers.\n   */\n  addHook(hook: \"beforeRequest\", fn: BeforeRequestHook): this;\n  /**\n   * Registers a hook that is called when a request cannot be made due to a\n   * network error.\n   */\n  addHook(hook: \"requestError\", fn: RequestErrorHook): this;\n  /**\n   * Registers a hook that is called when a response has been received from the\n   * server.\n   */\n  addHook(hook: \"response\", fn: ResponseHook): this;\n  addHook(\n    ...args:\n      | [hook: \"beforeRequest\", fn: BeforeRequestHook]\n      | [hook: \"requestError\", fn: RequestErrorHook]\n      | [hook: \"response\", fn: ResponseHook]\n  ) {\n    if (args[0] === \"beforeRequest\") {\n      this.requestHooks.push(args[1]);\n    } else if (args[0] === \"requestError\") {\n      this.requestErrorHooks.push(args[1]);\n    } else if (args[0] === \"response\") {\n      this.responseHooks.push(args[1]);\n    } else {\n      throw new Error(`Invalid hook type: ${args[0]}`);\n    }\n    return this;\n  }\n\n  /** Removes a hook that was previously registered with `addHook`. */\n  removeHook(hook: \"beforeRequest\", fn: BeforeRequestHook): this;\n  /** Removes a hook that was previously registered with `addHook`. */\n  removeHook(hook: \"requestError\", fn: RequestErrorHook): this;\n  /** Removes a hook that was previously registered with `addHook`. */\n  removeHook(hook: \"response\", fn: ResponseHook): this;\n  removeHook(\n    ...args:\n      | [hook: \"beforeRequest\", fn: BeforeRequestHook]\n      | [hook: \"requestError\", fn: RequestErrorHook]\n      | [hook: \"response\", fn: ResponseHook]\n  ): this {\n    let target: unknown[];\n    if (args[0] === \"beforeRequest\") {\n      target = this.requestHooks;\n    } else if (args[0] === \"requestError\") {\n      target = this.requestErrorHooks;\n    } else if (args[0] === \"response\") {\n      target = this.responseHooks;\n    } else {\n      throw new Error(`Invalid hook type: ${args[0]}`);\n    }\n\n    const index = target.findIndex((v) => v === args[1]);\n    if (index >= 0) {\n      target.splice(index, 1);\n    }\n\n    return this;\n  }\n\n  clone(): HTTPClient {\n    const child = new HTTPClient(this.options);\n    child.requestHooks = this.requestHooks.slice();\n    child.requestErrorHooks = this.requestErrorHooks.slice();\n    child.responseHooks = this.responseHooks.slice();\n\n    return child;\n  }\n}\n\nexport type StatusCodePredicate = number | string | (number | string)[];\n\n// A semicolon surrounded by optional whitespace characters is used to separate\n// segments in a media type string.\nconst mediaParamSeparator = /\\s*;\\s*/g;\n\nexport function matchContentType(response: Response, pattern: string): boolean {\n  // `*` is a special case which means anything is acceptable.\n  if (pattern === \"*\") {\n    return true;\n  }\n\n  let contentType =\n    response.headers.get(\"content-type\")?.trim() || \"application/octet-stream\";\n  contentType = contentType.toLowerCase();\n\n  const wantParts = pattern.toLowerCase().trim().split(mediaParamSeparator);\n  const [wantType = \"\", ...wantParams] = wantParts;\n\n  if (wantType.split(\"/\").length !== 2) {\n    return false;\n  }\n\n  const gotParts = contentType.split(mediaParamSeparator);\n  const [gotType = \"\", ...gotParams] = gotParts;\n\n  const [type = \"\", subtype = \"\"] = gotType.split(\"/\");\n  if (!type || !subtype) {\n    return false;\n  }\n\n  if (\n    wantType !== \"*/*\" &&\n    gotType !== wantType &&\n    `${type}/*` !== wantType &&\n    `*/${subtype}` !== wantType\n  ) {\n    return false;\n  }\n\n  if (gotParams.length < wantParams.length) {\n    return false;\n  }\n\n  const params = new Set(gotParams);\n  for (const wantParam of wantParams) {\n    if (!params.has(wantParam)) {\n      return false;\n    }\n  }\n\n  return true;\n}\n\nconst codeRangeRE = new RegExp(\"^[0-9]xx$\", \"i\");\n\nexport function matchStatusCode(\n  response: Response,\n  codes: StatusCodePredicate,\n): boolean {\n  const actual = `${response.status}`;\n  const expectedCodes = Array.isArray(codes) ? codes : [codes];\n  if (!expectedCodes.length) {\n    return false;\n  }\n\n  return expectedCodes.some((ec) => {\n    const code = `${ec}`;\n\n    if (code === \"default\") {\n      return true;\n    }\n\n    if (!codeRangeRE.test(`${code}`)) {\n      return code === actual;\n    }\n\n    const expectFamily = code.charAt(0);\n    if (!expectFamily) {\n      throw new Error(\"Invalid status code range\");\n    }\n\n    const actualFamily = actual.charAt(0);\n    if (!actualFamily) {\n      throw new Error(`Invalid response status code: ${actual}`);\n    }\n\n    return actualFamily === expectFamily;\n  });\n}\n\nexport function matchResponse(\n  response: Response,\n  code: StatusCodePredicate,\n  contentTypePattern: string,\n): boolean {\n  return (\n    matchStatusCode(response, code) &&\n    matchContentType(response, contentTypePattern)\n  );\n}\n\n/**\n * Uses various heurisitics to determine if an error is a connection error.\n */\nexport function isConnectionError(err: unknown): boolean {\n  if (typeof err !== \"object\" || err == null) {\n    return false;\n  }\n\n  // Covers fetch in Deno as well\n  const isBrowserErr =\n    err instanceof TypeError &&\n    err.message.toLowerCase().startsWith(\"failed to fetch\");\n\n  const isNodeErr =\n    err instanceof TypeError &&\n    err.message.toLowerCase().startsWith(\"fetch failed\");\n\n  const isBunErr = \"name\" in err && err.name === \"ConnectionError\";\n\n  const isGenericErr =\n    \"code\" in err &&\n    typeof err.code === \"string\" &&\n    err.code.toLowerCase() === \"econnreset\";\n\n  return isBrowserErr || isNodeErr || isGenericErr || isBunErr;\n}\n\n/**\n * Uses various heurisitics to determine if an error is a timeout error.\n */\nexport function isTimeoutError(err: unknown): boolean {\n  if (typeof err !== \"object\" || err == null) {\n    return false;\n  }\n\n  // Fetch in browser, Node.js, Bun, Deno\n  const isNative = \"name\" in err && err.name === \"TimeoutError\";\n  const isLegacyNative = \"code\" in err && err.code === 23;\n\n  // Node.js HTTP client and Axios\n  const isGenericErr =\n    \"code\" in err &&\n    typeof err.code === \"string\" &&\n    err.code.toLowerCase() === \"econnaborted\";\n\n  return isNative || isLegacyNative || isGenericErr;\n}\n\n/**\n * Uses various heurisitics to determine if an error is a abort error.\n */\nexport function isAbortError(err: unknown): boolean {\n  if (typeof err !== \"object\" || err == null) {\n    return false;\n  }\n\n  // Fetch in browser, Node.js, Bun, Deno\n  const isNative = \"name\" in err && err.name === \"AbortError\";\n  const isLegacyNative = \"code\" in err && err.code === 20;\n\n  // Node.js HTTP client and Axios\n  const isGenericErr =\n    \"code\" in err &&\n    typeof err.code === \"string\" &&\n    err.code.toLowerCase() === \"econnaborted\";\n\n  return isNative || isLegacyNative || isGenericErr;\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { isConnectionError, isTimeoutError } from \"./http.js\";\n\nexport type BackoffStrategy = {\n  initialInterval: number;\n  maxInterval: number;\n  exponent: number;\n  maxElapsedTime: number;\n};\n\nconst defaultBackoff: BackoffStrategy = {\n  initialInterval: 500,\n  maxInterval: 60000,\n  exponent: 1.5,\n  maxElapsedTime: 3600000,\n};\n\nexport type RetryConfig =\n  | { strategy: \"none\" }\n  | {\n      strategy: \"backoff\";\n      backoff?: BackoffStrategy;\n      retryConnectionErrors?: boolean;\n    }\n  | {\n      strategy: \"attempt-count-backoff\";\n      maxRetries: number;\n      backoff?: Partial<BackoffStrategy>;\n      retryConnectionErrors?: boolean;\n    };\n\n/**\n * PermanentError is an error that is not recoverable. Throwing this error will\n * cause a retry loop to terminate.\n */\nexport class PermanentError extends Error {\n  /** The underlying cause of the error. */\n  override readonly cause: unknown;\n\n  constructor(message: string, options?: { cause?: unknown }) {\n    let msg = message;\n    if (options?.cause) {\n      msg += `: ${options.cause}`;\n    }\n\n    super(msg, options);\n    this.name = \"PermanentError\";\n    // In older runtimes, the cause field would not have been assigned through\n    // the super() call.\n    if (typeof this.cause === \"undefined\") {\n      this.cause = options?.cause;\n    }\n\n    Object.setPrototypeOf(this, PermanentError.prototype);\n  }\n}\n\n/**\n * TemporaryError is an error is used to signal that an HTTP request can be\n * retried as part of a retry loop. If retry attempts are exhausted and this\n * error is thrown, the response will be returned to the caller.\n */\nexport class TemporaryError extends Error {\n  response: Response;\n\n  constructor(message: string, response: Response) {\n    super(message);\n    this.response = response;\n    this.name = \"TemporaryError\";\n\n    Object.setPrototypeOf(this, TemporaryError.prototype);\n  }\n}\n\nexport async function retry(\n  fetchFn: (attempt: number) => Promise<Response>,\n  options: {\n    config: RetryConfig;\n    statusCodes: string[];\n  },\n): Promise<Response> {\n  switch (options.config.strategy) {\n    case \"backoff\":\n      return retryBackoff(\n        wrapFetcher(fetchFn, {\n          statusCodes: options.statusCodes,\n          retryConnectionErrors: !!options.config.retryConnectionErrors,\n        }),\n        options.config.backoff ?? defaultBackoff,\n      );\n    case \"attempt-count-backoff\":\n      return retryAttemptCountBackoff(\n        wrapFetcher(fetchFn, {\n          statusCodes: options.statusCodes,\n          retryConnectionErrors: !!options.config.retryConnectionErrors,\n        }),\n        { ...defaultBackoff, ...options.config.backoff },\n        options.config,\n      );\n    default:\n      return await fetchFn(0);\n  }\n}\n\nfunction wrapFetcher(\n  fn: (attempt: number) => Promise<Response>,\n  options: {\n    statusCodes: string[];\n    retryConnectionErrors: boolean;\n  },\n): (attempt: number) => Promise<Response> {\n  return async (attempt: number) => {\n    try {\n      const res = await fn(attempt);\n      if (isRetryableResponse(res, options.statusCodes)) {\n        throw new TemporaryError(\n          \"Response failed with retryable status code\",\n          res,\n        );\n      }\n\n      return res;\n    } catch (err: unknown) {\n      if (err instanceof TemporaryError) {\n        throw err;\n      }\n\n      if (\n        options.retryConnectionErrors &&\n        (isTimeoutError(err) || isConnectionError(err))\n      ) {\n        throw err;\n      }\n\n      throw new PermanentError(\"Permanent error\", { cause: err });\n    }\n  };\n}\n\nconst codeRangeRE = new RegExp(\"^[0-9]xx$\", \"i\");\n\nfunction isRetryableResponse(res: Response, statusCodes: string[]): boolean {\n  const actual = `${res.status}`;\n\n  return statusCodes.some((code) => {\n    if (!codeRangeRE.test(code)) {\n      return code === actual;\n    }\n\n    const expectFamily = code.charAt(0);\n    if (!expectFamily) {\n      throw new Error(\"Invalid status code range\");\n    }\n\n    const actualFamily = actual.charAt(0);\n    if (!actualFamily) {\n      throw new Error(`Invalid response status code: ${actual}`);\n    }\n\n    return actualFamily === expectFamily;\n  });\n}\n\nasync function retryBackoff(\n  fn: (attempt: number) => Promise<Response>,\n  strategy: BackoffStrategy,\n): Promise<Response> {\n  const { maxElapsedTime, initialInterval, exponent, maxInterval } = strategy;\n\n  const start = Date.now();\n  let x = 0;\n\n  while (true) {\n    try {\n      const res = await fn(x);\n      return res;\n    } catch (err: unknown) {\n      if (err instanceof PermanentError) {\n        throw err.cause;\n      }\n      const elapsed = Date.now() - start;\n      if (elapsed > maxElapsedTime) {\n        if (err instanceof TemporaryError) {\n          return err.response;\n        }\n\n        throw err;\n      }\n\n      let retryInterval = 0;\n      if (err instanceof TemporaryError) {\n        retryInterval = retryIntervalFromResponse(err.response);\n      }\n\n      if (retryInterval <= 0) {\n        retryInterval =\n          initialInterval * Math.pow(x, exponent) + Math.random() * 1000;\n      }\n\n      const d = Math.min(retryInterval, maxInterval);\n\n      await delay(d);\n      x++;\n    }\n  }\n}\n\nasync function retryAttemptCountBackoff(\n  fn: (attempt: number) => Promise<Response>,\n  strategy: BackoffStrategy,\n  config: Extract<RetryConfig, { strategy: \"attempt-count-backoff\" }>,\n): Promise<Response> {\n  let attempt = 0;\n\n  while (true) {\n    try {\n      return await fn(attempt);\n    } catch (err: unknown) {\n      if (err instanceof PermanentError) {\n        throw err.cause;\n      }\n\n      if (attempt >= config.maxRetries) {\n        if (err instanceof TemporaryError) {\n          return err.response;\n        }\n\n        throw err;\n      }\n\n      let retryInterval = 0;\n      if (err instanceof TemporaryError) {\n        retryInterval = retryIntervalFromResponse(err.response);\n      }\n\n      if (retryInterval <= 0) {\n        retryInterval =\n          strategy.initialInterval *\n          Math.pow(strategy.exponent, attempt) *\n          (1 - Math.random() * 0.25);\n      }\n\n      const d = Math.min(retryInterval, strategy.maxInterval);\n\n      await delay(d);\n      attempt++;\n    }\n  }\n}\n\nfunction retryIntervalFromResponse(res: Response): number {\n  const retryAfterMsVal = res.headers.get(\"retry-after-ms\");\n  if (retryAfterMsVal) {\n    const parsedMs = Number(retryAfterMsVal);\n    if (Number.isFinite(parsedMs) && parsedMs >= 0) {\n      return parsedMs;\n    }\n  }\n\n  const retryVal = res.headers.get(\"retry-after\") || \"\";\n  if (!retryVal) {\n    return 0;\n  }\n\n  const parsedNumber = Number(retryVal);\n  if (Number.isInteger(parsedNumber)) {\n    return parsedNumber * 1000;\n  }\n\n  const parsedDate = Date.parse(retryVal);\n  if (Number.isInteger(parsedDate)) {\n    const deltaMS = parsedDate - Date.now();\n    return deltaMS > 0 ? Math.ceil(deltaMS) : 0;\n  }\n\n  return 0;\n}\n\nasync function delay(delay: number): Promise<void> {\n  return new Promise((resolve) => setTimeout(resolve, delay));\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { SDKHooks } from \"../hooks/hooks.js\";\nimport { HookContext } from \"../hooks/types.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport { ERR, OK, Result } from \"../types/fp.js\";\nimport { stringToBase64 } from \"./base64.js\";\nimport { SDK_METADATA, SDKOptions, serverURLFromOptions } from \"./config.js\";\nimport { encodeForm } from \"./encodings.js\";\nimport { env, fillGlobals } from \"./env.js\";\nimport {\n  HTTPClient,\n  isAbortError,\n  isConnectionError,\n  isTimeoutError,\n  matchContentType,\n} from \"./http.js\";\nimport { Logger } from \"./logger.js\";\nimport { combineSignals, isPlainObject } from \"./primitives.js\";\nimport { retry, RetryConfig } from \"./retries.js\";\nimport { SecurityState } from \"./security.js\";\n\nexport type RequestOptions = {\n  /**\n   * Sets a timeout, in milliseconds, on HTTP requests made by an SDK method. If\n   * `fetchOptions.signal` is set then it will take precedence over this option.\n   */\n  timeout_ms?: number;\n  /**\n   * Set or override a retry policy on HTTP calls.\n   */\n  retries?: RetryConfig;\n  /**\n   * Specifies the status codes which should be retried using the given retry policy.\n   */\n  retry_codes?: string[];\n  /**\n   * Overrides the base server URL that will be used by an operation.\n   */\n  server_url?: string | URL;\n  /**\n   * @deprecated `fetchOptions` has been flattened into `RequestOptions`.\n   *\n   * Sets various request options on the `fetch` call made by an SDK method.\n   *\n   * @see {@link https://developer.mozilla.org/en-US/docs/Web/API/Request/Request#options|Request}\n   */\n  fetch_options?: Omit<RequestInit, \"method\" | \"body\">;\n  /**\n   * Additional query parameters to set on the request URL. Entries replace\n   * any query parameters of the same name produced by the operation. Entries\n   * with null or undefined values are skipped, array values are encoded as\n   * repeated keys and plain object values are JSON-encoded.\n   */\n  extra_query?: Record<string, unknown>;\n  /**\n   * Additional fields to merge into the JSON object request body. Entries\n   * replace any fields of the same name produced by the operation. Entries\n   * with undefined values are skipped. Setting this option on an operation\n   * whose request body is not a JSON object results in an error.\n   */\n  extra_body?: Record<string, unknown>;\n} & Omit<RequestInit, \"method\" | \"body\">;\n\ntype RequestConfig = {\n  method: string;\n  path: string;\n  baseURL?: string | URL | undefined;\n  query?: string;\n  body?: RequestInit[\"body\"];\n  headers?: HeadersInit;\n  security?: SecurityState | null;\n  uaHeader?: string;\n  userAgent?: string | undefined;\n  timeout_ms?: number;\n};\n\nconst gt: unknown = typeof globalThis === \"undefined\" ? null : globalThis;\nconst webWorkerLike = typeof gt === \"object\"\n  && gt != null\n  && \"importScripts\" in gt\n  && typeof gt[\"importScripts\"] === \"function\";\nconst isBrowserLike = webWorkerLike\n  || (typeof navigator !== \"undefined\" && \"serviceWorker\" in navigator)\n  || (typeof window === \"object\" && typeof window.document !== \"undefined\");\n\nexport class ClientSDK {\n  readonly _httpClient: HTTPClient;\n  readonly _hooks: SDKHooks;\n  readonly _logger?: Logger | undefined;\n  public readonly _baseURL: URL | null;\n  public readonly _options: SDKOptions & { hooks?: SDKHooks };\n\n  constructor(options: SDKOptions = {}) {\n    const opt = options as unknown;\n    if (\n      typeof opt === \"object\"\n      && opt != null\n      && \"hooks\" in opt\n      && opt.hooks instanceof SDKHooks\n    ) {\n      this._hooks = opt.hooks;\n    } else {\n      this._hooks = new SDKHooks();\n    }\n    const defaultHttpClient = new HTTPClient();\n    options.http_client = options.http_client || defaultHttpClient;\n    options = this._hooks.sdkInit(options);\n\n    const url = serverURLFromOptions(options);\n    if (url) {\n      url.pathname = url.pathname.replace(/\\/+$/, \"\") + \"/\";\n    }\n    this._baseURL = url;\n    this._httpClient = options.http_client || defaultHttpClient;\n\n    this._options = { ...fillGlobals(options), hooks: this._hooks };\n\n    this._logger = this._options.debug_logger;\n    if (!this._logger && env().GOOGLE_GENAI_DEBUG) {\n      this._logger = console;\n    }\n  }\n\n  public _createRequest(\n    context: HookContext,\n    conf: RequestConfig,\n    options?: RequestOptions,\n  ): Result<Request, InvalidRequestError | UnexpectedClientError> {\n    const { method, path, query, headers: opHeaders, security } = conf;\n\n    const base = conf.baseURL ?? this._baseURL;\n    if (!base) {\n      return ERR(new InvalidRequestError(\"No base URL provided for operation\"));\n    }\n    const baseURL = new URL(base);\n    let reqURL: URL;\n    if (path) {\n      baseURL.pathname = baseURL.pathname.replace(/\\/+$/, \"\") + \"/\";\n      reqURL = new URL(path, baseURL);\n      if (!reqURL.search && baseURL.search) {\n        reqURL.search = baseURL.search;\n      }\n    } else {\n      reqURL = baseURL;\n    }\n    reqURL.hash = \"\";\n\n    // Appends already-encoded query pairs to a query string, replacing any\n    // existing pairs with the same key so later sources take precedence.\n    const mergeQuery = (current: string, additions: string): string => {\n      if (!additions) {\n        return current;\n      }\n      const additionKeys = new Set(\n        additions\n          .split(\"&\")\n          .filter((pair) => pair !== \"\")\n          .map((pair) => pair.split(\"=\")[0] ?? \"\"),\n      );\n      const kept = current.split(\"&\").filter((pair) => {\n        return pair !== \"\" && !additionKeys.has(pair.split(\"=\")[0] ?? \"\");\n      });\n      return [...kept, additions].join(\"&\");\n    };\n\n    const encodeQueryRecord = (record: Record<string, unknown>): string => {\n      return Object.entries(record)\n        .map(([k, v]) => {\n          if (v == null) {\n            return undefined;\n          }\n          const value = isPlainObject(v) ? JSON.stringify(v) : v;\n          return encodeForm(k, value, {\n            explode: Array.isArray(value),\n            charEncoding: \"percent\",\n          });\n        })\n        .filter((pair): pair is string => typeof pair !== \"undefined\")\n        .join(\"&\");\n    };\n\n    const finalQuery = [\n      query || \"\",\n      encodeQueryRecord(options?.extra_query || {}),\n      encodeQueryRecord(security?.queryParams || {}),\n    ].reduce(mergeQuery, reqURL.search.slice(1));\n\n    if (finalQuery) {\n      reqURL.search = `?${finalQuery}`;\n    }\n\n    const headers = new Headers(opHeaders);\n\n    const username = security?.basic.username;\n    const password = security?.basic.password;\n    if (username != null || password != null) {\n      const encoded = stringToBase64(\n        [username || \"\", password || \"\"].join(\":\"),\n      );\n      headers.set(\"Authorization\", `Basic ${encoded}`);\n    }\n\n    const securityHeaders = new Headers(security?.headers || {});\n    for (const [k, v] of securityHeaders) {\n      headers.set(k, v);\n    }\n\n    let cookie = headers.get(\"cookie\") || \"\";\n    for (const [k, v] of Object.entries(security?.cookies || {})) {\n      cookie += `; ${k}=${v}`;\n    }\n    cookie = cookie.startsWith(\"; \") ? cookie.slice(2) : cookie;\n    headers.set(\"cookie\", cookie);\n\n    const userHeaders = new Headers(\n      options?.headers ?? options?.fetch_options?.headers,\n    );\n    for (const [k, v] of userHeaders) {\n      headers.set(k, v);\n    }\n\n    // Only set user agent header in non-browser-like environments since CORS\n    // policy disallows setting it in browsers e.g. Chrome throws an error.\n    if (!isBrowserLike) {\n      headers.set(\n        conf.uaHeader ?? \"user-agent\",\n        conf.userAgent ?? SDK_METADATA.userAgent,\n      );\n    }\n\n    let reqBody = conf.body;\n    const extraBody = Object.fromEntries(\n      Object.entries(options?.extra_body || {}).filter(\n        ([, v]) => typeof v !== \"undefined\",\n      ),\n    );\n    if (Object.keys(extraBody).length > 0) {\n      const contentType = new Headers(opHeaders).get(\"content-type\") || \"\";\n      const isJSON = /^(application|text)\\/([^+]+\\+)*json/.test(contentType);\n      if (!isJSON || (typeof reqBody !== \"string\" && reqBody != null)) {\n        return ERR(\n          new InvalidRequestError(\n            \"extra_body can only be merged into JSON object request bodies\",\n          ),\n        );\n      }\n      let parsedBody: unknown;\n      try {\n        parsedBody = reqBody ? JSON.parse(reqBody) : {};\n      } catch (err: unknown) {\n        return ERR(\n          new InvalidRequestError(\n            \"extra_body can only be merged into JSON object request bodies\",\n            { cause: err },\n          ),\n        );\n      }\n      if (!isPlainObject(parsedBody)) {\n        return ERR(\n          new InvalidRequestError(\n            \"extra_body can only be merged into JSON object request bodies\",\n          ),\n        );\n      }\n      reqBody = JSON.stringify({ ...parsedBody, ...extraBody });\n      headers.delete(\"content-length\");\n    }\n\n    const fetchOptions: Omit<RequestInit, \"method\" | \"body\"> = {\n      ...options?.fetch_options,\n      ...options,\n    };\n    if (\n      !fetchOptions?.signal && conf.timeout_ms != null && conf.timeout_ms > 0\n    ) {\n      context.timeout_ms = conf.timeout_ms;\n    }\n\n    if (conf.body instanceof ReadableStream) {\n      Object.assign(fetchOptions, { duplex: \"half\" });\n    }\n\n    let input;\n    try {\n      input = this._hooks.beforeCreateRequest(context, {\n        url: reqURL,\n        options: {\n          ...fetchOptions,\n          body: reqBody ?? null,\n          headers,\n          method,\n        },\n      });\n    } catch (err: unknown) {\n      return ERR(\n        new UnexpectedClientError(\"Create request hook failed to execute\", {\n          cause: err,\n        }),\n      );\n    }\n\n    return OK(new Request(input.url, input.options));\n  }\n\n  public async _do(\n    request: Request,\n    options: {\n      context: HookContext;\n      isErrorStatusCode: (statusCode: number) => boolean;\n      retryConfig: RetryConfig;\n      retryCodes: string[];\n    },\n  ): Promise<\n    Result<\n      Response,\n      | RequestAbortedError\n      | RequestTimeoutError\n      | ConnectionError\n      | UnexpectedClientError\n    >\n  > {\n    const { context, isErrorStatusCode } = options;\n    const timeout_ms = context.timeout_ms;\n\n    return retry(\n      async () => {\n        const cloned = request.clone();\n        let attempt = cloned;\n        if (timeout_ms != null && timeout_ms > 0) {\n          const timeoutSignal = AbortSignal.timeout(timeout_ms);\n          const combined = combineSignals(cloned.signal, timeoutSignal)\n            ?? timeoutSignal;\n          attempt = new Request(cloned, { signal: combined });\n        }\n        const req = await this._hooks.beforeRequest(context, attempt);\n        await logRequest(this._logger, req).catch((e) =>\n          this._logger?.log(\"Failed to log request:\", e)\n        );\n\n        let response = await this._httpClient.request(req);\n\n        try {\n          if (isErrorStatusCode(response.status)) {\n            const result = await this._hooks.afterError(\n              context,\n              response,\n              null,\n            );\n            if (result.error) {\n              throw result.error;\n            }\n            response = result.response || response;\n          } else {\n            response = await this._hooks.afterSuccess(context, response);\n          }\n        } finally {\n          await logResponse(this._logger, response, req)\n            .catch(e => this._logger?.log(\"Failed to log response:\", e));\n        }\n\n        return response;\n      },\n      { config: options.retryConfig, statusCodes: options.retryCodes },\n    ).then(\n      (r) => OK(r),\n      (err) => {\n        switch (true) {\n          case isAbortError(err):\n            return ERR(\n              new RequestAbortedError(\"Request aborted by client\", {\n                cause: err,\n              }),\n            );\n          case isTimeoutError(err):\n            return ERR(\n              new RequestTimeoutError(\"Request timed out\", { cause: err }),\n            );\n          case isConnectionError(err):\n            return ERR(\n              new ConnectionError(\"Unable to make request\", { cause: err }),\n            );\n          default:\n            return ERR(\n              new UnexpectedClientError(\"Unexpected HTTP client error\", {\n                cause: err,\n              }),\n            );\n        }\n      },\n    );\n  }\n}\n\nconst jsonLikeContentTypeRE = /^(application|text)\\/([^+]+\\+)*json.*/;\nconst jsonlLikeContentTypeRE =\n  /^(application|text)\\/([^+]+\\+)*(jsonl|x-ndjson)\\b.*/;\nasync function logRequest(logger: Logger | undefined, req: Request) {\n  if (!logger) {\n    return;\n  }\n\n  const contentType = req.headers.get(\"content-type\");\n  const ct = contentType?.split(\";\")[0] || \"\";\n\n  logger.group(`> Request: ${req.method} ${req.url}`);\n\n  logger.group(\"Headers:\");\n  for (const [k, v] of req.headers.entries()) {\n    logger.log(`${k}: ${v}`);\n  }\n  logger.groupEnd();\n\n  logger.group(\"Body:\");\n  switch (true) {\n    case jsonLikeContentTypeRE.test(ct):\n      logger.log(await req.clone().json());\n      break;\n    case ct.startsWith(\"text/\"):\n      logger.log(await req.clone().text());\n      break;\n    case ct === \"multipart/form-data\": {\n      const body = await req.clone().formData();\n      for (const [k, v] of body) {\n        const vlabel = v instanceof Blob ? \"<Blob>\" : v;\n        logger.log(`${k}: ${vlabel}`);\n      }\n      break;\n    }\n    default:\n      logger.log(`<${contentType}>`);\n      break;\n  }\n  logger.groupEnd();\n\n  logger.groupEnd();\n}\n\nasync function logResponse(\n  logger: Logger | undefined,\n  res: Response,\n  req: Request,\n) {\n  if (!logger) {\n    return;\n  }\n\n  const contentType = res.headers.get(\"content-type\");\n  const ct = contentType?.split(\";\")[0] || \"\";\n\n  logger.group(`< Response: ${req.method} ${req.url}`);\n  logger.log(\"Status Code:\", res.status, res.statusText);\n\n  logger.group(\"Headers:\");\n  for (const [k, v] of res.headers.entries()) {\n    logger.log(`${k}: ${v}`);\n  }\n  logger.groupEnd();\n\n  logger.group(\"Body:\");\n  switch (true) {\n    case matchContentType(res, \"application/json\")\n      || jsonLikeContentTypeRE.test(ct) && !jsonlLikeContentTypeRE.test(ct):\n      logger.log(await res.clone().json());\n      break;\n    case matchContentType(res, \"application/jsonl\")\n      || jsonlLikeContentTypeRE.test(ct):\n    case matchContentType(res, \"text/event-stream\"):\n      logger.log(`<${contentType}>`);\n      break;\n    case matchContentType(res, \"text/*\"):\n      logger.log(await res.clone().text());\n      break;\n    case matchContentType(res, \"multipart/form-data\"): {\n      const body = await res.clone().formData();\n      for (const [k, v] of body) {\n        const vlabel = v instanceof Blob ? \"<Blob>\" : v;\n        logger.log(`${k}: ${vlabel}`);\n      }\n      break;\n    }\n    default:\n      logger.log(`<${contentType}>`);\n      break;\n  }\n  logger.groupEnd();\n\n  logger.groupEnd();\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAiError } from \"./google-gen-ai-error.js\";\n\n/** The fallback error class if no more specific error class is matched */\nexport class GoogleGenAiDefaultError extends GoogleGenAiError {\n  constructor(\n    message: string,\n    httpMeta: {\n      response: Response;\n      request: Request;\n      body: string;\n    },\n  ) {\n    if (message) {\n      message += `: `;\n    }\n    message += `Status ${httpMeta.response.status}`;\n    const contentType = httpMeta.response.headers.get(\"content-type\") || `\"\"`;\n    if (contentType !== \"application/json\") {\n      message += ` Content-Type ${\n        contentType.includes(\" \") ? `\"${contentType}\"` : contentType\n      }`;\n    }\n    const body = httpMeta.body || `\"\"`;\n    message += body.length > 100 ? \"\\n\" : \". \";\n    let bodyDisplay = body;\n    if (body.length > 10000) {\n      const truncated = body.substring(0, 10000);\n      const remaining = body.length - 10000;\n      bodyDisplay = `${truncated}...and ${remaining} more chars`;\n    }\n    message += `Body: ${bodyDisplay}`;\n    message = message.trim();\n    super(message, httpMeta);\n    this.name = \"GoogleGenAiDefaultError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nexport type StreamAsyncIterator<T> = {\n  next(): Promise<IteratorResult<T, undefined>>;\n  throw?(e?: unknown): Promise<IteratorResult<T, undefined>>;\n  return?(): Promise<IteratorResult<T, undefined>>;\n  [Symbol.asyncIterator](): StreamAsyncIterator<T>;\n} & {\n  [K in typeof Symbol extends {\n    readonly asyncDispose: infer SymbolType extends symbol;\n  } ? SymbolType : never]: () => PromiseLike<void>;\n};\n\n// Some environments' type definitions do not include ReadableStream's async\n// iterator, even though the runtime supports it or this class polyfills it.\n// Declare the method here so Stream can override it and preserve T in for-await.\ndeclare global {\n  interface ReadableStream<R = any> {\n    [Symbol.asyncIterator](options?: unknown): StreamAsyncIterator<R>;\n    values(options?: unknown): StreamAsyncIterator<R>;\n  }\n}\n\nexport type SseMessage<T> = {\n  data?: T | undefined;\n  event?: string | null | undefined;\n  id?: string | null | undefined;\n  retry?: number | null | undefined;\n};\nexport function tryParseJson(s: string): unknown {\n  try {\n    return JSON.parse(s);\n  } catch {\n    return s;\n  }\n}\n\nexport type WrapSseOptions = {\n  sentinel?: string;\n  flattened?: boolean;\n  dataRequired?: boolean;\n};\nexport function wrapEventStreamResponse<T>(\n  body: ReadableStream<Uint8Array>,\n  opts: WrapSseOptions = {},\n): Stream<T> {\n  const flattened = opts.flattened === true;\n  const sentinel = opts.sentinel ?? \"\";\n  return new Stream<T>(\n    body,\n    (rawEvent): IteratorResult<T, undefined> => {\n      if (sentinel !== \"\" && rawEvent.data === sentinel) {\n        return { done: true, value: undefined };\n      }\n      if (flattened) {\n        const data = rawEvent.data == null\n          ? undefined\n          : tryParseJson(rawEvent.data);\n        return { done: false, value: data as T };\n      }\n      return {\n        done: false,\n        value: {\n          ...rawEvent,\n          data: rawEvent.data == null\n            ? rawEvent.data\n            : tryParseJson(rawEvent.data),\n        } as T,\n      };\n    },\n    { dataRequired: opts.dataRequired ?? true },\n  );\n}\nexport class Stream<T> extends ReadableStream<T> {\n  constructor(\n    responseBody: ReadableStream<Uint8Array>,\n    parse: (x: SseMessage<string>) => IteratorResult<T, undefined>,\n    opts?: { dataRequired?: boolean },\n  ) {\n    const upstream = responseBody.getReader();\n    let buffer: Uint8Array = new Uint8Array(4096);\n    let bufferLen = 0;\n    let searchStart = 0;\n    const state = { eventId: undefined as string | undefined };\n    const dataRequired = opts?.dataRequired ?? true;\n    super({\n      async pull(downstream) {\n        try {\n          while (true) {\n            const match = findBoundary(buffer, bufferLen, searchStart);\n            if (!match) {\n              // Bytes before the trailing MAX_BOUNDARY_LEN-1 were already\n              // scanned with full lookahead and cannot start a boundary even\n              // once more data arrives, so the next scan can skip them.\n              searchStart = Math.max(0, bufferLen - MAX_BOUNDARY_LEN + 1);\n              const chunk = await upstream.read();\n              if (chunk.done) return downstream.close();\n              if (bufferLen + chunk.value.length > buffer.length) {\n                const grown = new Uint8Array(\n                  Math.max(buffer.length * 2, bufferLen + chunk.value.length),\n                );\n                grown.set(buffer.subarray(0, bufferLen));\n                buffer = grown;\n              }\n              buffer.set(chunk.value, bufferLen);\n              bufferLen += chunk.value.length;\n              continue;\n            }\n            const message = buffer.slice(0, match.index);\n            buffer.copyWithin(0, match.index + match.length, bufferLen);\n            bufferLen -= match.index + match.length;\n            if (buffer.length > 4096 && bufferLen <= buffer.length >> 2) {\n              // Release oversized capacity retained after an unusually large\n              // event so long-lived streams do not hold peak memory.\n              const shrunk = new Uint8Array(Math.max(4096, bufferLen * 2));\n              shrunk.set(buffer.subarray(0, bufferLen));\n              buffer = shrunk;\n            }\n            searchStart = 0;\n            const item = parseMessage(message, parse, state, dataRequired);\n            if (item && !item.done) return downstream.enqueue(item.value);\n            if (item?.done) {\n              await upstream.cancel(\"done\");\n              return downstream.close();\n            }\n          }\n        } catch (e) {\n          downstream.error(e);\n          await upstream.cancel(e);\n        }\n      },\n      cancel: reason => upstream.cancel(reason),\n    });\n  }\n\n  override [Symbol.asyncIterator](options?: unknown): StreamAsyncIterator<T> {\n    const fn = (ReadableStream.prototype as {\n      [Symbol.asyncIterator]?: (options?: unknown) => StreamAsyncIterator<T>;\n    })[Symbol.asyncIterator];\n    if (typeof fn === \"function\") return fn.call(this, options);\n    const reader = this.getReader();\n    const iterator = {\n      next: async () => {\n        const r = await reader.read();\n        if (r.done) {\n          reader.releaseLock();\n          return { done: true, value: undefined };\n        }\n        return { done: false, value: r.value };\n      },\n      throw: async (e?: unknown) => {\n        await reader.cancel(e);\n        reader.releaseLock();\n        return { done: true, value: undefined };\n      },\n      return: async () => {\n        await reader.cancel(\"done\");\n        reader.releaseLock();\n        return { done: true, value: undefined };\n      },\n      [Symbol.asyncIterator]() {\n        return this;\n      },\n    } as StreamAsyncIterator<T> & { [key: symbol]: unknown };\n    const asyncDispose = (Symbol as unknown as {\n      readonly asyncDispose?: symbol;\n    }).asyncDispose;\n    if (asyncDispose) {\n      iterator[asyncDispose] = async () => {\n        await iterator.return?.();\n      };\n    }\n    return iterator as StreamAsyncIterator<T>;\n  }\n\n  override values(options?: unknown): StreamAsyncIterator<T> {\n    return this[Symbol.asyncIterator](options);\n  }\n\n}\n\nconst CR = 13;\nconst LF = 10;\nconst BOUNDARIES = [\n  [CR, LF, CR, LF], // \\r\\n\\r\\n\n  [CR, LF, CR], // \\r\\n\\r\n  [CR, LF, LF], // \\r\\n\\n\n  [CR, CR, LF], // \\r\\r\\n\n  [LF, CR, LF], // \\n\\r\\n\n  [CR, CR], // \\r\\r\n  [LF, CR], // \\n\\r\n  [LF, LF], // \\n\\n\n];\nconst MAX_BOUNDARY_LEN = BOUNDARIES.reduce((m, b) => Math.max(m, b.length), 0);\n\nfunction findBoundary(\n  buf: Uint8Array,\n  len: number,\n  from: number,\n): { index: number; length: number } | null {\n  for (let i = from; i < len; i++) {\n    if (buf[i] !== CR && buf[i] !== LF) continue;\n    for (const boundary of BOUNDARIES) {\n      if (i + boundary.length > len) continue;\n      let match = true;\n      for (let j = 0; j < boundary.length; j++) {\n        if (buf[i + j] !== boundary[j]) {\n          match = false;\n          break;\n        }\n      }\n      if (match) return { index: i, length: boundary.length };\n    }\n  }\n  return null;\n}\nfunction parseMessage<T>(\n  chunk: Uint8Array,\n  parse: (x: SseMessage<string>) => IteratorResult<T, undefined>,\n  state: { eventId: string | undefined },\n  dataRequired: boolean,\n) {\n  const text = new TextDecoder().decode(chunk);\n  const lines = text.split(/\\r\\n|\\r|\\n/);\n  const dataLines: string[] = [];\n  const ret: SseMessage<string> = {};\n  let ignore = true;\n  for (const line of lines) {\n    if (!line || line.startsWith(\":\")) continue;\n    ignore = false;\n    const i = line.indexOf(\":\");\n    let field = line;\n    let value = \"\";\n    if (i > 0) {\n      field = line.slice(0, i);\n      value = line[i + 1] === \" \" ? line.slice(i + 2) : line.slice(i + 1);\n    }\n    if (field === \"data\") dataLines.push(value);\n    else if (field === \"event\") ret.event = value;\n    else if (field === \"id\" && !value.includes(\"\\0\")) state.eventId = value;\n    else if (field === \"retry\" && /^\\d+$/.test(value)) {\n      ret.retry = Number(value);\n    }\n  }\n  if (ignore) return;\n  ret.id = state.eventId;\n  if (dataLines.length) ret.data = dataLines.join(\"\\n\");\n  else if (dataRequired) return; // skip data-less events when data is required\n  return parse(ret);\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAiDefaultError } from \"../models/errors/google-gen-ai-default-error.js\";\nimport { Result } from \"../types/fp.js\";\nimport { wrapEventStreamResponse } from \"./event-streams.js\";\nimport { matchResponse, matchStatusCode, StatusCodePredicate } from \"./http.js\";\nimport { isPlainObject } from \"./primitives.js\";\n\nexport type Encoding =\n  | \"jsonl\"\n  | \"json\"\n  | \"text\"\n  | \"bytes\"\n  | \"stream\"\n  | \"sse\"\n  | \"nil\"\n  | \"fail\";\n\nconst DEFAULT_CONTENT_TYPES: Record<Encoding, string> = {\n  jsonl: \"application/jsonl\",\n  json: \"application/json\",\n  text: \"text/plain\",\n  bytes: \"application/octet-stream\",\n  stream: \"application/octet-stream\",\n  sse: \"text/event-stream\",\n  nil: \"*\",\n  fail: \"*\",\n};\n\nexport type SseOptions = {\n  sentinel?: string;\n  flattened?: boolean;\n  dataRequired?: boolean;\n};\nexport type ErrorClassType = new(\n  data: any,\n  httpMeta: { request: Request; response: Response; body: string },\n) => unknown;\n\ntype MatchOptions = {\n  ctype?: string;\n  hdrs?: boolean;\n  key?: string;\n  sseSentinel?: string;\n};\n\nexport type ValueMatcher<V> = MatchOptions & {\n  enc: Encoding;\n  codes: StatusCodePredicate;\n  __value?: V;\n  sse?: SseOptions;\n};\n\nexport type ErrorMatcher<E> = MatchOptions & {\n  enc: Encoding;\n  codes: StatusCodePredicate;\n  __error?: E;\n  errorClass: ErrorClassType | undefined;\n  sse?: SseOptions;\n  err: true;\n};\n\nexport type FailMatcher = {\n  enc: \"fail\";\n  codes: StatusCodePredicate;\n};\n\nexport type Matcher<T, E> = ValueMatcher<T> | ErrorMatcher<E> | FailMatcher;\n\nexport function jsonErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"json\", codes, errorClass };\n}\nexport function json<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"json\", codes };\n}\n\nexport function jsonl<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"jsonl\", codes };\n}\n\nexport function jsonlErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"jsonl\", codes, errorClass };\n}\n\nexport function textErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"text\", codes, errorClass };\n}\nexport function text<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"text\", codes };\n}\n\nexport function bytesErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"bytes\", codes, errorClass };\n}\nexport function bytes<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"bytes\", codes };\n}\n\nexport function streamErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"stream\", codes, errorClass };\n}\nexport function stream<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"stream\", codes };\n}\n\nexport function sseErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  sse?: SseOptions,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return {\n    ...options,\n    err: true,\n    enc: \"sse\",\n    codes,\n    errorClass,\n    ...(sse ? { sse } : {}),\n  };\n}\nexport function sse<T>(\n  codes: StatusCodePredicate,\n  sse?: SseOptions,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"sse\", codes, ...(sse ? { sse } : {}) };\n}\n\nexport function nilErr<E>(\n  codes: StatusCodePredicate,\n  errorClass: ErrorClassType | undefined,\n  options?: MatchOptions,\n): ErrorMatcher<E> {\n  return { ...options, err: true, enc: \"nil\", codes, errorClass };\n}\nexport function nil<T>(\n  codes: StatusCodePredicate,\n  options?: MatchOptions,\n): ValueMatcher<T> {\n  return { ...options, enc: \"nil\", codes };\n}\n\nexport function fail(codes: StatusCodePredicate): FailMatcher {\n  return { enc: \"fail\", codes };\n}\n\nexport type MatchedValue<Matchers> = Matchers extends Matcher<infer T, any>[]\n  ? T\n  : never;\nexport type MatchedError<Matchers> = Matchers extends Matcher<any, infer E>[]\n  ? E\n  : never;\nexport type MatchFunc<T, E> = (\n  response: Response,\n  request: Request,\n  options?: { resultKey?: string; extraFields?: Record<string, unknown> },\n) => Promise<[result: Result<T, E>, raw: unknown]>;\n\nexport function match<T, E>(\n  ...matchers: Array<Matcher<T, E>>\n): MatchFunc<T, E | GoogleGenAiDefaultError> {\n  return async function matchFunc(\n    response: Response,\n    request: Request,\n    options?: { resultKey?: string; extraFields?: Record<string, unknown> },\n  ): Promise<[result: Result<T, E | GoogleGenAiDefaultError>, raw: unknown]> {\n    let raw: unknown;\n    let matcher: Matcher<T, E> | undefined;\n    for (const match of matchers) {\n      const { codes } = match;\n      const ctpattern = \"ctype\" in match\n        ? match.ctype\n        : DEFAULT_CONTENT_TYPES[match.enc];\n      if (ctpattern && matchResponse(response, codes, ctpattern)) {\n        matcher = match;\n        break;\n      } else if (!ctpattern && matchStatusCode(response, codes)) {\n        matcher = match;\n        break;\n      }\n    }\n\n    if (!matcher) {\n      return [{\n        ok: false,\n        error: new GoogleGenAiDefaultError(\n          \"Unexpected Status or Content-Type\",\n          {\n            response,\n            request,\n            body: await response.text().catch(() => \"\"),\n          },\n        ),\n      }, raw];\n    }\n\n    const encoding = matcher.enc;\n    let body = \"\";\n    switch (encoding) {\n      case \"json\":\n        body = await response.text();\n        try {\n          raw = JSON.parse(body);\n        } catch (err) {\n          // Passthrough for malformed error bodies; success bodies must be valid.\n          if (!(\"err\" in matcher)) {\n            throw err;\n          }\n          raw = body;\n        }\n        break;\n      case \"jsonl\":\n        raw = response.body;\n        break;\n      case \"bytes\":\n        raw = new Uint8Array(await response.arrayBuffer());\n        break;\n      case \"stream\":\n        raw = response.body;\n        break;\n      case \"text\":\n        body = await response.text();\n        raw = body;\n        break;\n      case \"sse\":\n        if (response.body) {\n          const sseOpts = (\"sse\" in matcher && matcher.sse) || {};\n          raw = wrapEventStreamResponse(response.body, sseOpts);\n        } else {\n          raw = null;\n        }\n        break;\n      case \"nil\":\n        body = await response.text();\n        raw = undefined;\n        break;\n      case \"fail\":\n        body = await response.text();\n        raw = body;\n        break;\n      default:\n        throw new Error(\n          `Unsupported response type: ${encoding satisfies never}`,\n        );\n    }\n\n    if (matcher.enc === \"fail\") {\n      return [{\n        ok: false,\n        error: new GoogleGenAiDefaultError(\"API error occurred\", {\n          request,\n          response,\n          body,\n        }),\n      }, raw];\n    }\n\n    const resultKey = matcher.key || options?.resultKey;\n    let data: unknown;\n    const headersField = matcher.hdrs\n      ? { headers: unpackHeaders(response.headers) }\n      : null;\n\n    if (\"err\" in matcher) {\n      data = {\n        ...options?.extraFields,\n        ...headersField,\n        ...(isPlainObject(raw) ? raw : null),\n      };\n    } else if (resultKey) {\n      data = {\n        ...options?.extraFields,\n        ...headersField,\n        [resultKey]: raw,\n      };\n    } else if (matcher.hdrs) {\n      data = {\n        ...options?.extraFields,\n        ...headersField,\n        ...(isPlainObject(raw) ? raw : null),\n      };\n    } else {\n      data = raw;\n    }\n\n    if (\"err\" in matcher) {\n      // When the spec error response is a single error class, instantiate\n      // it with the data + httpMeta. When the spec defines a discriminated\n      // union of error variants (no class), `errorClass` is undefined and\n      // we pass the parsed payload through as the error value directly.\n      const errValue = matcher.errorClass\n        ? new matcher.errorClass(data, { request, response, body }) as E\n        : data as E;\n      return [{ ok: false, error: errValue }, raw];\n    }\n    return [{ ok: true, value: data as T }, raw];\n  };\n}\n\nconst headerValRE = /, */;\n/**\n * Iterates over a Headers object and returns an object with all the header\n * entries. Values are represented as an array to account for repeated headers.\n */\nexport function unpackHeaders(headers: Headers): Record<string, string[]> {\n  const out: Record<string, string[]> = {};\n\n  for (const [k, v] of headers.entries()) {\n    out[k] = v.split(headerValRE);\n  }\n\n  return out;\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as models from \"../models/index.js\";\nimport { env } from \"./env.js\";\n\ntype OAuth2PasswordFlow = {\n  username: string;\n  password: string;\n  client_id?: string | undefined;\n  client_secret?: string | undefined;\n  token_url: string;\n};\n\nexport enum SecurityErrorCode {\n  Incomplete = \"incomplete\",\n  UnrecognisedSecurityType = \"unrecognized_security_type\",\n}\n\nexport class SecurityError extends Error {\n  constructor(\n    public code: SecurityErrorCode,\n    message: string,\n  ) {\n    super(message);\n    this.name = \"SecurityError\";\n  }\n\n  static incomplete(): SecurityError {\n    return new SecurityError(\n      SecurityErrorCode.Incomplete,\n      \"Security requirements not met in order to perform the operation\",\n    );\n  }\n  static unrecognizedType(type: string): SecurityError {\n    return new SecurityError(\n      SecurityErrorCode.UnrecognisedSecurityType,\n      `Unrecognised security type: ${type}`,\n    );\n  }\n}\n\nexport type SecurityState = {\n  basic: { username?: string | undefined; password?: string | undefined };\n  headers: Record<string, string>;\n  queryParams: Record<string, string>;\n  cookies: Record<string, string>;\n  oauth2: ({ type: \"password\" } & OAuth2PasswordFlow) | { type: \"none\" };\n};\n\ntype SecurityInputBasic = {\n  type: \"http:basic\";\n  value:\n    | { username?: string | undefined; password?: string | undefined }\n    | null\n    | undefined;\n};\n\ntype SecurityInputBearer = {\n  type: \"http:bearer\";\n  value: string | null | undefined;\n  fieldName: string;\n};\n\ntype SecurityInputAPIKey = {\n  type: \"apiKey:header\" | \"apiKey:query\" | \"apiKey:cookie\";\n  value: string | null | undefined;\n  fieldName: string;\n};\n\ntype SecurityInputOIDC = {\n  type: \"openIdConnect\";\n  value: string | null | undefined;\n  fieldName: string;\n};\n\ntype SecurityInputOAuth2 = {\n  type: \"oauth2\";\n  value: string | null | undefined;\n  fieldName: string;\n};\n\ntype SecurityInputOAuth2ClientCredentials = {\n  type: \"oauth2:client_credentials\";\n  value:\n    | {\n      client_id?: string | undefined;\n      client_secret?: string | undefined;\n    }\n    | null\n    | string\n    | undefined;\n  fieldName?: string;\n};\n\ntype SecurityInputOAuth2PasswordCredentials = {\n  type: \"oauth2:password\";\n  value:\n    | string\n    | null\n    | undefined;\n  fieldName?: string;\n};\n\ntype SecurityInputCustom = {\n  type: \"http:custom\";\n  value: any | null | undefined;\n  fieldName?: string;\n};\n\nexport type SecurityInput =\n  | SecurityInputBasic\n  | SecurityInputBearer\n  | SecurityInputAPIKey\n  | SecurityInputOAuth2\n  | SecurityInputOAuth2ClientCredentials\n  | SecurityInputOAuth2PasswordCredentials\n  | SecurityInputOIDC\n  | SecurityInputCustom;\n\nexport function resolveSecurity(\n  ...options: SecurityInput[][]\n): SecurityState | null {\n  const state: SecurityState = {\n    basic: {},\n    headers: {},\n    queryParams: {},\n    cookies: {},\n    oauth2: { type: \"none\" },\n  };\n\n  const option = options.find((opts) => {\n    return opts.every((o) => {\n      if (o.value == null) {\n        return false;\n      } else if (o.type === \"http:basic\") {\n        return o.value.username != null || o.value.password != null;\n      } else if (o.type === \"http:custom\") {\n        return null;\n      } else if (o.type === \"oauth2:password\") {\n        return (\n          typeof o.value === \"string\" && !!o.value\n        );\n      } else if (o.type === \"oauth2:client_credentials\") {\n        if (typeof o.value == \"string\") {\n          return !!o.value;\n        }\n        return o.value.client_id != null || o.value.client_secret != null;\n      } else if (typeof o.value === \"string\") {\n        return !!o.value;\n      } else {\n        throw new Error(\n          `Unrecognized security type: ${o.type} (value type: ${typeof o\n            .value})`,\n        );\n      }\n    });\n  });\n  if (option == null) {\n    return null;\n  }\n\n  option.forEach((spec) => {\n    if (spec.value == null) {\n      return;\n    }\n\n    const { type } = spec;\n\n    switch (type) {\n      case \"apiKey:header\":\n        state.headers[spec.fieldName] = spec.value;\n        break;\n      case \"apiKey:query\":\n        state.queryParams[spec.fieldName] = spec.value;\n        break;\n      case \"apiKey:cookie\":\n        state.cookies[spec.fieldName] = spec.value;\n        break;\n      case \"http:basic\":\n        applyBasic(state, spec);\n        break;\n      case \"http:custom\":\n        break;\n      case \"http:bearer\":\n        applyBearer(state, spec);\n        break;\n      case \"oauth2\":\n        applyBearer(state, spec);\n        break;\n      case \"oauth2:password\":\n        applyBearer(state, spec);\n        break;\n      case \"oauth2:client_credentials\":\n        break;\n      case \"openIdConnect\":\n        applyBearer(state, spec);\n        break;\n      default:\n        throw SecurityError.unrecognizedType((spec satisfies never, type));\n    }\n  });\n\n  return state;\n}\n\nfunction applyBasic(\n  state: SecurityState,\n  spec: SecurityInputBasic,\n) {\n  if (spec.value == null) {\n    return;\n  }\n\n  state.basic = spec.value;\n}\n\nfunction applyBearer(\n  state: SecurityState,\n  spec:\n    | SecurityInputBearer\n    | SecurityInputOAuth2\n    | SecurityInputOIDC\n    | SecurityInputOAuth2PasswordCredentials,\n) {\n  if (typeof spec.value !== \"string\" || !spec.value) {\n    return;\n  }\n\n  let value = spec.value;\n  if (value.slice(0, 7).toLowerCase() !== \"bearer \") {\n    value = `Bearer ${value}`;\n  }\n\n  if (spec.fieldName !== undefined) {\n    state.headers[spec.fieldName] = value;\n  }\n}\n\nexport function resolveGlobalSecurity(\n  security: Partial<models.Security> | null | undefined,\n  allowedFields?: number[],\n): SecurityState | null {\n  let inputs: SecurityInput[][] = [\n    [\n      {\n        fieldName: \"apiKey\",\n        type: \"http:custom\",\n        value: security?.api_key ?? env().GOOGLE_GENAI_API_KEY,\n      },\n      {\n        fieldName: \"accessToken\",\n        type: \"http:custom\",\n        value: security?.access_token ?? env().GOOGLE_GENAI_ACCESS_TOKEN,\n      },\n      {\n        fieldName: \"defaultHeaders\",\n        type: \"http:custom\",\n        value: security?.default_headers,\n      },\n    ],\n  ];\n\n  if (allowedFields) {\n    inputs = allowedFields.map((i) => {\n      if (i < 0 || i >= inputs.length) {\n        throw new RangeError(`invalid allowedFields index ${i}`);\n      }\n      return inputs[i]!;\n    });\n  }\n\n  return resolveSecurity(...inputs);\n}\n\nexport async function extractSecurity<\n  T extends string | Record<string, unknown>,\n>(sec: T | (() => Promise<T>) | undefined): Promise<T | undefined> {\n  if (sec == null) {\n    return;\n  }\n\n  return typeof sec === \"function\" ? sec() : sec;\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { type Result } from \"./fp.js\";\nexport type APICall =\n  | {\n      status: \"complete\";\n      request: Request;\n      response: Response;\n    }\n  | {\n      status: \"request-error\";\n      request: Request;\n      response?: undefined;\n    }\n  | {\n      status: \"invalid\";\n      request?: undefined;\n      response?: undefined;\n    };\n\nexport class APIPromise<T> implements Promise<T> {\n  readonly _promise: Promise<[T, APICall]>;\n  _unwrapped: Promise<T> | null;\n  _callSource: Promise<APICall> | null;\n\n  readonly [Symbol.toStringTag] = \"APIPromise\";\n\n  constructor(\n    p: [T, APICall] | Promise<[T, APICall]>,\n    callSource?: Promise<APICall>,\n  ) {\n    this._promise = p instanceof Promise ? p : Promise.resolve(p);\n    this._unwrapped = p instanceof Promise ? null : Promise.resolve(p[0]);\n    this._callSource = callSource ?? null;\n  }\n\n  _getUnwrapped(): Promise<T> {\n    return (this._unwrapped ??= this._promise.then(([value]) => value));\n  }\n\n  then<TResult1 = T, TResult2 = never>(\n    onfulfilled?:\n      | ((value: T) => TResult1 | PromiseLike<TResult1>)\n      | null\n      | undefined,\n    onrejected?:\n      | ((reason: any) => TResult2 | PromiseLike<TResult2>)\n      | null\n      | undefined,\n  ): Promise<TResult1 | TResult2> {\n    return this._promise.then(\n      onfulfilled ? ([value]) => onfulfilled(value) : void 0,\n      onrejected,\n    );\n  }\n\n  catch<TResult = never>(\n    onrejected?:\n      | ((reason: any) => TResult | PromiseLike<TResult>)\n      | null\n      | undefined,\n  ): Promise<T | TResult> {\n    return this._getUnwrapped().catch(onrejected);\n  }\n\n  finally(onfinally?: (() => void) | null | undefined): Promise<T> {\n    return this._getUnwrapped().finally(onfinally);\n  }\n\n  $inspect(): Promise<[T, APICall]> {\n    return this._promise;\n  }\n\n  asResponse(): Promise<Response> {\n    const src = (this._callSource ??= this._promise.then(\n      ([, call]) => call,\n    ));\n    return src.then((call) => {\n      if (!call.response) {\n        throw new Error(\"APIPromise.asResponse: response unavailable\");\n      }\n      return call.response;\n    });\n  }\n\n  async withResponse(): Promise<{ data: T; response: Response }> {\n    const [[data], response] = await Promise.all([\n      this._promise,\n      this.asResponse(),\n    ]);\n    return { data, response };\n  }\n\n  _thenUnwrap<U>(transform: (value: T) => U): APIPromise<U> {\n    const data = this._promise.then(\n      ([value, call]): [U, APICall] => [transform(value), call],\n    );\n    data.catch(() => {});\n    return new APIPromise<U>(data, this._callSource ?? undefined);\n  }\n}\n\nexport function unwrapAsAPIPromise<T>(\n  p: APIPromise<Result<T, unknown>>,\n): APIPromise<T> {\n  const inner = p.$inspect();\n  const data: Promise<[T, APICall]> = inner.then(([r, call]) => {\n    if (!r.ok) {\n      throw r.error;\n    }\n    return [r.value, call];\n  });\n  const callSource: Promise<APICall> = inner.then(([r, call]) => {\n    if (!r.ok && !call.response?.ok) {\n      throw r.error;\n    }\n    return call;\n  });\n  data.catch(() => {});\n  callSource.catch(() => {});\n  return new APIPromise<T>(data, callSource);\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport * as agents from \"../models/agents/index.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Creates a new Agent (Typed version for SDK).\n */\nexport function agentsCreate(\n  client: GoogleGenAICore,\n  body: agents.Agent,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    agents.Agent,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    body,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  body: agents.Agent,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      agents.Agent,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.CreateAgentRequest = {\n    body: body,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n  };\n  const path = pathToFunc(\"/{api_version}/agents\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"CreateAgent\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    agents.Agent,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<agents.Agent>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Deletes an Agent.\n */\nexport function agentsDelete(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    interactions.Empty,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      interactions.Empty,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.DeleteAgentRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/agents/{id}\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"DeleteAgent\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"DELETE\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    interactions.Empty,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<interactions.Empty>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport * as agents from \"../models/agents/index.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Gets a specific Agent.\n */\nexport function agentsGet(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    agents.Agent,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      agents.Agent,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.GetAgentRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/agents/{id}\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"GetAgent\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"GET\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    agents.Agent,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<agents.Agent>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeFormQuery, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport * as agents from \"../models/agents/index.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Lists all Agents.\n */\nexport function agentsList(\n  client: GoogleGenAICore,\n  api_version?: string | undefined,\n  page_size?: number | undefined,\n  page_token?: string | undefined,\n  parent?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    agents.AgentListResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    api_version,\n    page_size,\n    page_token,\n    parent,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  api_version?: string | undefined,\n  page_size?: number | undefined,\n  page_token?: string | undefined,\n  parent?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      agents.AgentListResponse,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.ListAgentsRequest | undefined = {\n    api_version: api_version,\n    page_size: page_size,\n    page_token: page_token,\n    parent: parent,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload?.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n  };\n  const path = pathToFunc(\"/{api_version}/agents\")(pathParams);\n\n  const query = encodeFormQuery({\n    \"page_size\": payload?.page_size,\n    \"page_token\": payload?.page_token,\n    \"parent\": payload?.parent,\n  });\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"ListAgents\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"GET\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    query: query,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    agents.AgentListResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<agents.AgentListResponse>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { agentsCreate } from \"../funcs/agents-create.js\";\nimport { agentsDelete } from \"../funcs/agents-delete.js\";\nimport { agentsGet } from \"../funcs/agents-get.js\";\nimport { agentsList } from \"../funcs/agents-list.js\";\nimport { ClientSDK, RequestOptions } from \"../lib/sdks.js\";\nimport * as agents from \"../models/agents/index.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport {\n  CreateAgentParams,\n  DeleteAgentParams,\n  GetAgentParams,\n  ListAgentsParams,\n} from \"../models/operations/method-params.js\";\nimport { APIPromise, unwrapAsAPIPromise } from \"../types/async.js\";\n\nexport class Agents extends ClientSDK {\n  /**\n   * Creates a new Agent (Typed version for SDK).\n   */\n  create(\n    params: CreateAgentParams,\n    options?: RequestOptions,\n  ): APIPromise<agents.Agent> {\n    const { api_version, ...body } = params;\n    return unwrapAsAPIPromise(agentsCreate(\n      this,\n      body,\n      api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Lists all Agents.\n   */\n  list(\n    params?: ListAgentsParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<agents.AgentListResponse> {\n    return unwrapAsAPIPromise(agentsList(\n      this,\n      params?.api_version,\n      params?.page_size,\n      params?.page_token,\n      params?.parent,\n      options,\n    ));\n  }\n\n  /**\n   * Gets a specific Agent.\n   */\n  get(\n    id: string,\n    params?: GetAgentParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<agents.Agent> {\n    return unwrapAsAPIPromise(agentsGet(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Deletes an Agent.\n   */\n  delete(\n    id: string,\n    params?: DeleteAgentParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<interactions.Empty> {\n    return unwrapAsAPIPromise(agentsDelete(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as interactions from \"../interactions/index.js\";\nimport { GoogleGenAiError } from \"./google-gen-ai-error.js\";\n\n/**\n * Error cancelling interaction\n */\nexport type CancelInteractionByIdServerErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error cancelling interaction\n */\nexport class CancelInteractionByIdServerError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: CancelInteractionByIdServerErrorData;\n\n  constructor(\n    err: CancelInteractionByIdServerErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"CancelInteractionByIdServerError\";\n  }\n}\n\n/**\n * Error cancelling interaction\n */\nexport type CancelInteractionByIdClientErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error cancelling interaction\n */\nexport class CancelInteractionByIdClientError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: CancelInteractionByIdClientErrorData;\n\n  constructor(\n    err: CancelInteractionByIdClientErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"CancelInteractionByIdClientError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as interactions from \"../interactions/index.js\";\nimport { GoogleGenAiError } from \"./google-gen-ai-error.js\";\n\n/**\n * Error creating interaction\n */\nexport type CreateInteractionServerErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error creating interaction\n */\nexport class CreateInteractionServerError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: CreateInteractionServerErrorData;\n\n  constructor(\n    err: CreateInteractionServerErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"CreateInteractionServerError\";\n  }\n}\n\n/**\n * Error creating interaction\n */\nexport type CreateInteractionClientErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error creating interaction\n */\nexport class CreateInteractionClientError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: CreateInteractionClientErrorData;\n\n  constructor(\n    err: CreateInteractionClientErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"CreateInteractionClientError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as interactions from \"../interactions/index.js\";\nimport { GoogleGenAiError } from \"./google-gen-ai-error.js\";\n\n/**\n * Error deleting interaction\n */\nexport type DeleteInteractionServerErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error deleting interaction\n */\nexport class DeleteInteractionServerError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: DeleteInteractionServerErrorData;\n\n  constructor(\n    err: DeleteInteractionServerErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"DeleteInteractionServerError\";\n  }\n}\n\n/**\n * Error deleting interaction\n */\nexport type DeleteInteractionClientErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error deleting interaction\n */\nexport class DeleteInteractionClientError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: DeleteInteractionClientErrorData;\n\n  constructor(\n    err: DeleteInteractionClientErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"DeleteInteractionClientError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport * as interactions from \"../interactions/index.js\";\nimport { GoogleGenAiError } from \"./google-gen-ai-error.js\";\n\n/**\n * Error getting interaction\n */\nexport type GetInteractionByIdServerErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error getting interaction\n */\nexport class GetInteractionByIdServerError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: GetInteractionByIdServerErrorData;\n\n  constructor(\n    err: GetInteractionByIdServerErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"GetInteractionByIdServerError\";\n  }\n}\n\n/**\n * Error getting interaction\n */\nexport type GetInteractionByIdClientErrorData = {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n};\n\n/**\n * Error getting interaction\n */\nexport class GetInteractionByIdClientError extends GoogleGenAiError {\n  /**\n   * Error message from an interaction.\n   */\n  error: interactions.ErrorT;\n\n  /** The original data that was passed to this error instance. */\n  data$: GetInteractionByIdClientErrorData;\n\n  constructor(\n    err: GetInteractionByIdClientErrorData,\n    httpMeta: { response: Response; request: Request; body: string },\n  ) {\n    const message = err.error?.message\n      || `API error occurred: ${JSON.stringify(err)}`;\n    super(message, httpMeta);\n    this.data$ = err;\n    this.error = err.error;\n\n    this.name = \"GetInteractionByIdClientError\";\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as errors from \"../models/errors/index.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Canceling an interaction\n *\n * @remarks\n * Cancels an interaction by id. This only applies to background interactions that are still running.\n */\nexport function interactionsCancel(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    interactions.Interaction,\n    | errors.CancelInteractionByIdClientError\n    | errors.CancelInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      interactions.Interaction,\n      | errors.CancelInteractionByIdClientError\n      | errors.CancelInteractionByIdServerError\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.CancelInteractionByIdRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/interactions/{id}/cancel\")(\n    pathParams,\n  );\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"cancelInteractionById\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const responseFields = {\n    httpMeta: { response: response, request: req },\n  };\n\n  const [result] = await M.match<\n    interactions.Interaction,\n    | errors.CancelInteractionByIdClientError\n    | errors.CancelInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.json<interactions.Interaction>(200),\n    M.jsonErr<errors.CancelInteractionByIdClientError>(\n      \"4XX\",\n      errors.CancelInteractionByIdClientError,\n    ),\n    M.jsonErr<errors.CancelInteractionByIdServerError>(\n      \"5XX\",\n      errors.CancelInteractionByIdServerError,\n    ),\n  )(response, req, { extraFields: responseFields });\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as errors from \"../models/errors/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Creating an interaction\n *\n * @remarks\n * Creates a new interaction.\n */\nexport function interactionsCreate(\n  client: GoogleGenAICore,\n  body: operations.CreateInteractionRequestBody & { stream?: false },\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    operations.CreateInteractionResponse,\n    | errors.CreateInteractionClientError\n    | errors.CreateInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsCreate(\n  client: GoogleGenAICore,\n  body: operations.CreateInteractionRequestBody & { stream: true },\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    operations.CreateInteractionResponse,\n    | errors.CreateInteractionClientError\n    | errors.CreateInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsCreate(\n  client: GoogleGenAICore,\n  body: operations.CreateInteractionRequestBody,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    operations.CreateInteractionResponse,\n    | errors.CreateInteractionClientError\n    | errors.CreateInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsCreate(\n  client: GoogleGenAICore,\n  body: operations.CreateInteractionRequestBody,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    operations.CreateInteractionResponse,\n    | errors.CreateInteractionClientError\n    | errors.CreateInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    body,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  body: operations.CreateInteractionRequestBody,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      operations.CreateInteractionResponse,\n      | errors.CreateInteractionClientError\n      | errors.CreateInteractionServerError\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.CreateInteractionRequest = {\n    body: body,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n  };\n  const path = pathToFunc(\"/{api_version}/interactions\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: input?.body?.stream ? \"text/event-stream\" : \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"CreateInteraction\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const responseFields = {\n    httpMeta: { response: response, request: req },\n  };\n\n  const [result] = await M.match<\n    operations.CreateInteractionResponse,\n    | errors.CreateInteractionClientError\n    | errors.CreateInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.json<operations.CreateInteractionResponse>(200),\n    M.sse<operations.CreateInteractionResponse>(200, {\n      sentinel: \"[DONE]\",\n      flattened: true,\n    }),\n    M.jsonErr<errors.CreateInteractionClientError>(\n      \"4XX\",\n      errors.CreateInteractionClientError,\n    ),\n    M.jsonErr<errors.CreateInteractionServerError>(\n      \"5XX\",\n      errors.CreateInteractionServerError,\n    ),\n  )(response, req, { extraFields: responseFields });\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as errors from \"../models/errors/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Deleting an interaction\n *\n * @remarks\n * Deletes the interaction by id.\n */\nexport function interactionsDelete(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    void,\n    | errors.DeleteInteractionClientError\n    | errors.DeleteInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      void,\n      | errors.DeleteInteractionClientError\n      | errors.DeleteInteractionServerError\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.DeleteInteractionRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/interactions/{id}\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"deleteInteraction\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"DELETE\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const responseFields = {\n    httpMeta: { response: response, request: req },\n  };\n\n  const [result] = await M.match<\n    void,\n    | errors.DeleteInteractionClientError\n    | errors.DeleteInteractionServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.nil<void>(200),\n    M.jsonErr<errors.DeleteInteractionClientError>(\n      \"4XX\",\n      errors.DeleteInteractionClientError,\n    ),\n    M.jsonErr<errors.DeleteInteractionServerError>(\n      \"5XX\",\n      errors.DeleteInteractionServerError,\n    ),\n  )(response, req, { extraFields: responseFields });\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeFormQuery, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as errors from \"../models/errors/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Retrieving an interaction\n *\n * @remarks\n * Retrieves the full details of a single interaction based on its `Interaction.id`.\n */\nexport function interactionsGet(\n  client: GoogleGenAICore,\n  id: string,\n  stream?: false,\n  last_event_id?: string | undefined,\n  include_input?: boolean | undefined,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    operations.GetInteractionByIdResponse,\n    | errors.GetInteractionByIdClientError\n    | errors.GetInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsGet(\n  client: GoogleGenAICore,\n  id: string,\n  stream?: true,\n  last_event_id?: string | undefined,\n  include_input?: boolean | undefined,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    operations.GetInteractionByIdResponse,\n    | errors.GetInteractionByIdClientError\n    | errors.GetInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsGet(\n  client: GoogleGenAICore,\n  id: string,\n  stream?: boolean | undefined,\n  last_event_id?: string | undefined,\n  include_input?: boolean | undefined,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    operations.GetInteractionByIdResponse,\n    | errors.GetInteractionByIdClientError\n    | errors.GetInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n>;\nexport function interactionsGet(\n  client: GoogleGenAICore,\n  id: string,\n  stream?: boolean | undefined,\n  last_event_id?: string | undefined,\n  include_input?: boolean | undefined,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    operations.GetInteractionByIdResponse,\n    | errors.GetInteractionByIdClientError\n    | errors.GetInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    stream,\n    last_event_id,\n    include_input,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  stream?: boolean | undefined,\n  last_event_id?: string | undefined,\n  include_input?: boolean | undefined,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      operations.GetInteractionByIdResponse,\n      | errors.GetInteractionByIdClientError\n      | errors.GetInteractionByIdServerError\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.GetInteractionByIdRequest = {\n    id: id,\n    stream: stream,\n    last_event_id: last_event_id,\n    include_input: include_input,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/interactions/{id}\")(pathParams);\n\n  const query = encodeFormQuery({\n    \"include_input\": payload.include_input,\n    \"last_event_id\": payload.last_event_id,\n    \"stream\": payload.stream,\n  });\n\n  const headers = new Headers(compactMap({\n    Accept: input?.stream ? \"text/event-stream\" : \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"getInteractionById\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"GET\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    query: query,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const responseFields = {\n    httpMeta: { response: response, request: req },\n  };\n\n  const [result] = await M.match<\n    operations.GetInteractionByIdResponse,\n    | errors.GetInteractionByIdClientError\n    | errors.GetInteractionByIdServerError\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.json<operations.GetInteractionByIdResponse>(200),\n    M.sse<operations.GetInteractionByIdResponse>(200, {\n      sentinel: \"[DONE]\",\n      flattened: true,\n    }),\n    M.jsonErr<errors.GetInteractionByIdClientError>(\n      \"4XX\",\n      errors.GetInteractionByIdClientError,\n    ),\n    M.jsonErr<errors.GetInteractionByIdServerError>(\n      \"5XX\",\n      errors.GetInteractionByIdServerError,\n    ),\n  )(response, req, { extraFields: responseFields });\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { interactionsCancel } from \"../funcs/interactions-cancel.js\";\nimport { interactionsCreate } from \"../funcs/interactions-create.js\";\nimport { interactionsDelete } from \"../funcs/interactions-delete.js\";\nimport { interactionsGet } from \"../funcs/interactions-get.js\";\nimport { ClientSDK, RequestOptions } from \"../lib/sdks.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport {\n  CancelInteractionByIdParams,\n  CreateAgentInteractionParamsNonStreaming,\n  CreateAgentInteractionParamsStreaming,\n  CreateInteractionParams,\n  CreateModelInteractionParamsNonStreaming,\n  CreateModelInteractionParamsStreaming,\n  DeleteInteractionParams,\n  GetInteractionByIdParams,\n  GetInteractionByIdParamsNonStreaming,\n  GetInteractionByIdParamsStreaming,\n} from \"../models/operations/method-params.js\";\nimport { APIPromise, unwrapAsAPIPromise } from \"../types/async.js\";\n\nexport class Interactions extends ClientSDK {\n  /**\n   * Creating an interaction\n   *\n   * @remarks\n   * Creates a new interaction.\n   */\n  create(\n    params: CreateModelInteractionParamsNonStreaming,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse>;\n  create(\n    params: CreateAgentInteractionParamsNonStreaming,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse>;\n  create(\n    params: CreateModelInteractionParamsStreaming,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse>;\n  create(\n    params: CreateAgentInteractionParamsStreaming,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse>;\n  create(\n    params: CreateInteractionParams,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse>;\n  create(\n    params: CreateInteractionParams,\n    options?: RequestOptions,\n  ): APIPromise<operations.CreateInteractionResponse> {\n    const { api_version, ...body } = params;\n    return unwrapAsAPIPromise(interactionsCreate(\n      this,\n      body,\n      api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Retrieving an interaction\n   *\n   * @remarks\n   * Retrieves the full details of a single interaction based on its `Interaction.id`.\n   */\n  get(\n    id: string,\n    params?: GetInteractionByIdParamsNonStreaming,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<operations.GetInteractionByIdResponse>;\n  get(\n    id: string,\n    params: GetInteractionByIdParamsStreaming,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<operations.GetInteractionByIdResponse>;\n  get(\n    id: string,\n    params?: GetInteractionByIdParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<operations.GetInteractionByIdResponse>;\n  get(\n    id: string,\n    params?: GetInteractionByIdParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<operations.GetInteractionByIdResponse> {\n    return unwrapAsAPIPromise(interactionsGet(\n      this,\n      id,\n      params?.stream,\n      params?.last_event_id,\n      params?.include_input,\n      params?.api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Deleting an interaction\n   *\n   * @remarks\n   * Deletes the interaction by id.\n   */\n  delete(\n    id: string,\n    params?: DeleteInteractionParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<void> {\n    return unwrapAsAPIPromise(interactionsDelete(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Canceling an interaction\n   *\n   * @remarks\n   * Cancels an interaction by id. This only applies to background interactions that are still running.\n   */\n  cancel(\n    id: string,\n    params?: CancelInteractionByIdParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<interactions.Interaction> {\n    return unwrapAsAPIPromise(interactionsCancel(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Creates a new Webhook.\n */\nexport function webhooksCreate(\n  client: GoogleGenAICore,\n  body: webhooks.WebhookInput,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    body,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  body: webhooks.WebhookInput,\n  api_version?: string | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      webhooks.Webhook,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.CreateWebhookRequest = {\n    body: body,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"CreateWebhook\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.Webhook>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Deletes a Webhook.\n */\nexport function webhooksDelete(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    interactions.Empty,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      interactions.Empty,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.DeleteWebhookRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks/{id}\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"DeleteWebhook\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"DELETE\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    interactions.Empty,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<interactions.Empty>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Gets a specific Webhook.\n */\nexport function webhooksGet(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      webhooks.Webhook,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.GetWebhookRequest = {\n    id: id,\n    api_version: api_version,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks/{id}\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"GetWebhook\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"GET\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.Webhook>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeFormQuery, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Lists all Webhooks.\n */\nexport function webhooksList(\n  client: GoogleGenAICore,\n  api_version?: string | undefined,\n  page_size?: number | undefined,\n  page_token?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): APIPromise<\n  Result<\n    webhooks.WebhookListResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    api_version,\n    page_size,\n    page_token,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  api_version?: string | undefined,\n  page_size?: number | undefined,\n  page_token?: string | undefined,\n  options?: Omit<RequestOptions, \"extra_body\">,\n): Promise<\n  [\n    Result<\n      webhooks.WebhookListResponse,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.ListWebhooksRequest | undefined = {\n    api_version: api_version,\n    page_size: page_size,\n    page_token: page_token,\n  };\n\n  const payload = input;\n  const body = null;\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload?.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks\")(pathParams);\n\n  const query = encodeFormQuery({\n    \"page_size\": payload?.page_size,\n    \"page_token\": payload?.page_token,\n  });\n\n  const headers = new Headers(compactMap({\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"ListWebhooks\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"GET\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    query: query,\n    body: body,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.WebhookListResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.WebhookListResponse>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Sends a ping event to a Webhook.\n */\nexport function webhooksPing(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  body?: webhooks.PingWebhookRequest | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    webhooks.WebhookPingResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    body,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  body?: webhooks.PingWebhookRequest | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      webhooks.WebhookPingResponse,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.PingWebhookRequest = {\n    id: id,\n    api_version: api_version,\n    body: body,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks/{id}:ping\")(pathParams);\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"PingWebhook\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.WebhookPingResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.WebhookPingResponse>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Generates a new signing secret for a Webhook.\n */\nexport function webhooksRotateSigningSecret(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  body?: webhooks.RotateSigningSecretRequest | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    webhooks.WebhookRotateSigningSecretResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    body,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  body?: webhooks.RotateSigningSecretRequest | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      webhooks.WebhookRotateSigningSecretResponse,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.RotateSigningSecretRequest = {\n    id: id,\n    api_version: api_version,\n    body: body,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks/{id}:rotateSigningSecret\")(\n    pathParams,\n  );\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"RotateSigningSecret\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"POST\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.WebhookRotateSigningSecretResponse,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.WebhookRotateSigningSecretResponse>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { GoogleGenAICore } from \"../core.js\";\nimport { encodeFormQuery, encodeJSON, encodeSimple } from \"../lib/encodings.js\";\nimport { matchStatusCode } from \"../lib/http.js\";\nimport * as M from \"../lib/matchers.js\";\nimport { compactMap } from \"../lib/primitives.js\";\nimport { RequestOptions } from \"../lib/sdks.js\";\nimport { extractSecurity, resolveGlobalSecurity } from \"../lib/security.js\";\nimport { pathToFunc } from \"../lib/url.js\";\nimport { GoogleGenAiError } from \"../models/errors/google-gen-ai-error.js\";\nimport {\n  ConnectionError,\n  InvalidRequestError,\n  RequestAbortedError,\n  RequestTimeoutError,\n  UnexpectedClientError,\n} from \"../models/errors/http-client-errors.js\";\nimport * as operations from \"../models/operations/index.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APICall, APIPromise } from \"../types/async.js\";\nimport { Result } from \"../types/fp.js\";\n\n/**\n * Updates an existing Webhook.\n */\nexport function webhooksUpdate(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  update_mask?: string | undefined,\n  body?: webhooks.WebhookUpdate | undefined,\n  options?: RequestOptions,\n): APIPromise<\n  Result<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >\n> {\n  return new APIPromise($do(\n    client,\n    id,\n    api_version,\n    update_mask,\n    body,\n    options,\n  ));\n}\n\nasync function $do(\n  client: GoogleGenAICore,\n  id: string,\n  api_version?: string | undefined,\n  update_mask?: string | undefined,\n  body?: webhooks.WebhookUpdate | undefined,\n  options?: RequestOptions,\n): Promise<\n  [\n    Result<\n      webhooks.Webhook,\n      | GoogleGenAiError\n      | ConnectionError\n      | RequestAbortedError\n      | RequestTimeoutError\n      | InvalidRequestError\n      | UnexpectedClientError\n    >,\n    APICall,\n  ]\n> {\n  const input: operations.UpdateWebhookRequest = {\n    id: id,\n    api_version: api_version,\n    update_mask: update_mask,\n    body: body,\n  };\n\n  const payload = input;\n  const body$ = encodeJSON(\"body\", payload.body, { explode: true });\n\n  const pathParams = {\n    api_version: encodeSimple(\n      \"api_version\",\n      payload.api_version ?? client._options.api_version,\n      { explode: false, charEncoding: \"percent\" },\n    ),\n    id: encodeSimple(\"id\", payload.id, {\n      explode: false,\n      charEncoding: \"percent\",\n    }),\n  };\n  const path = pathToFunc(\"/{api_version}/webhooks/{id}\")(pathParams);\n\n  const query = encodeFormQuery({\n    \"update_mask\": payload.update_mask,\n  });\n\n  const headers = new Headers(compactMap({\n    \"Content-Type\": \"application/json\",\n    Accept: \"application/json\",\n  }));\n\n  const securityInput = await extractSecurity(client._options.security);\n  const requestSecurity = resolveGlobalSecurity(securityInput);\n\n  const context = {\n    options: client._options,\n    base_url: options?.server_url ?? client._baseURL ?? \"\",\n    operation_id: \"UpdateWebhook\",\n    o_auth2_scopes: null,\n\n    resolved_security: requestSecurity,\n\n    security_source: client._options.security,\n    retry_config: options?.retries\n      || client._options.retry_config\n      || {\n        strategy: \"attempt-count-backoff\",\n        backoff: {\n          initialInterval: 500,\n          maxInterval: 8000,\n          exponent: 2,\n          maxElapsedTime: 30000,\n        },\n        retryConnectionErrors: true,\n        maxRetries: 4,\n      }\n      || { strategy: \"none\" },\n    retry_codes: options?.retry_codes || [\"408\", \"409\", \"429\", \"5XX\"],\n  };\n\n  const requestRes = client._createRequest(context, {\n    security: requestSecurity,\n    method: \"PATCH\",\n    baseURL: options?.server_url,\n    path: path,\n    headers: headers,\n    query: query,\n    body: body$,\n    userAgent: client._options.user_agent,\n    timeout_ms: options?.timeout_ms || client._options.timeout_ms || -1,\n  }, options);\n  if (!requestRes.ok) {\n    return [requestRes, { status: \"invalid\" }];\n  }\n  const req = requestRes.value;\n\n  const doResult = await client._do(req, {\n    context,\n    isErrorStatusCode: (statusCode: number) =>\n      matchStatusCode({ status: statusCode } as Response, [\"4XX\", \"5XX\"]),\n    retryConfig: context.retry_config,\n    retryCodes: context.retry_codes,\n  });\n  if (!doResult.ok) {\n    return [doResult, { status: \"request-error\", request: req }];\n  }\n  const response = doResult.value;\n\n  const [result] = await M.match<\n    webhooks.Webhook,\n    | GoogleGenAiError\n    | ConnectionError\n    | RequestAbortedError\n    | RequestTimeoutError\n    | InvalidRequestError\n    | UnexpectedClientError\n  >(\n    M.fail(\"4XX\"),\n    M.fail(\"5XX\"),\n    M.json<webhooks.Webhook>(\"default\"),\n  )(response, req);\n  if (!result.ok) {\n    return [result, { status: \"complete\", request: req, response }];\n  }\n\n  return [result, { status: \"complete\", request: req, response }];\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { webhooksCreate } from \"../funcs/webhooks-create.js\";\nimport { webhooksDelete } from \"../funcs/webhooks-delete.js\";\nimport { webhooksGet } from \"../funcs/webhooks-get.js\";\nimport { webhooksList } from \"../funcs/webhooks-list.js\";\nimport { webhooksPing } from \"../funcs/webhooks-ping.js\";\nimport { webhooksRotateSigningSecret } from \"../funcs/webhooks-rotate-signing-secret.js\";\nimport { webhooksUpdate } from \"../funcs/webhooks-update.js\";\nimport { ClientSDK, RequestOptions } from \"../lib/sdks.js\";\nimport * as interactions from \"../models/interactions/index.js\";\nimport {\n  CreateWebhookParams,\n  DeleteWebhookParams,\n  GetWebhookParams,\n  ListWebhooksParams,\n  UpdateWebhookParams,\n} from \"../models/operations/method-params.js\";\nimport * as webhooks from \"../models/webhooks/index.js\";\nimport { APIPromise, unwrapAsAPIPromise } from \"../types/async.js\";\n\nexport class Webhooks extends ClientSDK {\n  /**\n   * Creates a new Webhook.\n   */\n  create(\n    params: CreateWebhookParams,\n    options?: RequestOptions,\n  ): APIPromise<webhooks.Webhook> {\n    const { api_version, ...body } = params;\n    return unwrapAsAPIPromise(webhooksCreate(\n      this,\n      body,\n      api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Lists all Webhooks.\n   */\n  list(\n    params?: ListWebhooksParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<webhooks.WebhookListResponse> {\n    return unwrapAsAPIPromise(webhooksList(\n      this,\n      params?.api_version,\n      params?.page_size,\n      params?.page_token,\n      options,\n    ));\n  }\n\n  /**\n   * Gets a specific Webhook.\n   */\n  get(\n    id: string,\n    params?: GetWebhookParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<webhooks.Webhook> {\n    return unwrapAsAPIPromise(webhooksGet(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Updates an existing Webhook.\n   */\n  update(\n    id: string,\n    params?: UpdateWebhookParams,\n    options?: RequestOptions,\n  ): APIPromise<webhooks.Webhook> {\n    const { api_version, update_mask, ...body$body } = params ?? {};\n    const body = params === undefined || Object.keys(body$body).length === 0\n      ? undefined\n      : body$body;\n    return unwrapAsAPIPromise(webhooksUpdate(\n      this,\n      id,\n      api_version,\n      update_mask,\n      body,\n      options,\n    ));\n  }\n\n  /**\n   * Deletes a Webhook.\n   */\n  delete(\n    id: string,\n    params?: DeleteWebhookParams,\n    options?: Omit<RequestOptions, \"extra_body\">,\n  ): APIPromise<interactions.Empty> {\n    return unwrapAsAPIPromise(webhooksDelete(\n      this,\n      id,\n      params?.api_version,\n      options,\n    ));\n  }\n\n  /**\n   * Generates a new signing secret for a Webhook.\n   */\n  rotateSigningSecret(\n    id: string,\n    api_version?: string | undefined,\n    body?: webhooks.RotateSigningSecretRequest | undefined,\n    options?: RequestOptions,\n  ): APIPromise<webhooks.WebhookRotateSigningSecretResponse> {\n    return unwrapAsAPIPromise(webhooksRotateSigningSecret(\n      this,\n      id,\n      api_version,\n      body,\n      options,\n    ));\n  }\n\n  /**\n   * Sends a ping event to a Webhook.\n   */\n  ping(\n    id: string,\n    api_version?: string | undefined,\n    body?: webhooks.PingWebhookRequest | undefined,\n    options?: RequestOptions,\n  ): APIPromise<webhooks.WebhookPingResponse> {\n    return unwrapAsAPIPromise(webhooksPing(\n      this,\n      id,\n      api_version,\n      body,\n      options,\n    ));\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\n/*\n * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.\n */\n\nimport { ClientSDK } from \"../lib/sdks.js\";\nimport { Agents } from \"./agents.js\";\nimport { Interactions } from \"./interactions.js\";\nimport { Webhooks } from \"./webhooks.js\";\n\nexport class GoogleGenAI extends ClientSDK {\n  private _interactions?: Interactions;\n  get interactions(): Interactions {\n    return (this._interactions ??= new Interactions(this._options));\n  }\n\n  private _webhooks?: Webhooks;\n  get webhooks(): Webhooks {\n    return (this._webhooks ??= new Webhooks(this._options));\n  }\n\n  private _agents?: Agents;\n  get agents(): Agents {\n    return (this._agents ??= new Agents(this._options));\n  }\n}\n","/**\n * @license\n * Copyright 2026 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n *\n * g3-prettier-ignore-file\n */\n\nimport * as agents from \"./models/agents/index.js\";\nimport * as interactions from \"./models/interactions/index.js\";\nimport * as operations from \"./models/operations/index.js\";\nimport * as webhooks from \"./models/webhooks/index.js\";\n\nimport type { APICall, APIPromise } from \"./types/async.js\";\nimport {\n  GOOGLE_GENAI_API_REVISION,\n  GoogleGenAISecurityProvider,\n} from \"./hooks/google-genai-auth.js\";\n\nimport { wrapSDKError } from \"./lib/compat-errors.js\";\nimport { Stream } from \"./lib/event-streams.js\";\nimport { GoogleGenAI } from \"./sdk/sdk.js\";\nimport type {\n  CreateAgentInteractionParamsNonStreaming,\n  CreateAgentInteractionParamsStreaming,\n  CreateAgentParams,\n  CreateInteractionParams,\n  CreateInteractionParamsNonStreaming,\n  CreateInteractionParamsStreaming,\n  CreateModelInteractionParamsNonStreaming,\n  CreateModelInteractionParamsStreaming,\n  DeleteAgentParams,\n  GetAgentParams,\n  GetInteractionByIdParams,\n  GetInteractionByIdParamsNonStreaming,\n  GetInteractionByIdParamsStreaming,\n  ListAgentsParams as _ListAgentsRequest,\n} from \"./models/operations/method-params.js\";\nimport { RequestOptions } from \"./lib/sdks.js\";\nimport type { Result } from \"./types/fp.js\";\nimport { SDKOptions } from \"./lib/config.js\";\nimport { agentsCreate } from \"./funcs/agents-create.js\";\nimport { agentsDelete } from \"./funcs/agents-delete.js\";\nimport { agentsGet } from \"./funcs/agents-get.js\";\nimport { agentsList } from \"./funcs/agents-list.js\";\nimport { interactionsCancel } from \"./funcs/interactions-cancel.js\";\nimport { interactionsCreate } from \"./funcs/interactions-create.js\";\nimport { interactionsGet } from \"./funcs/interactions-get.js\";\nimport { webhooksCreate } from \"./funcs/webhooks-create.js\";\nimport { webhooksDelete } from \"./funcs/webhooks-delete.js\";\nimport { webhooksGet } from \"./funcs/webhooks-get.js\";\nimport { webhooksList } from \"./funcs/webhooks-list.js\";\nimport { webhooksPing } from \"./funcs/webhooks-ping.js\";\nimport { webhooksRotateSigningSecret } from \"./funcs/webhooks-rotate-signing-secret.js\";\nimport { webhooksUpdate } from \"./funcs/webhooks-update.js\";\n\nconst LEGACY_LYRIA_MODELS: ReadonlySet<string> = new Set([\n  \"lyria-3-pro-preview\",\n  \"lyria-3-clip-preview\",\n]);\n\nexport { GOOGLE_GENAI_API_REVISION };\n\nexport interface GoogleGenAIParentClient {\n  isVertexAI(): boolean;\n  getProject(): string | undefined;\n  getLocation(): string | undefined;\n  getBaseUrl(): string;\n  getApiVersion(): string;\n  getDefaultHeaders?(): Record<string, string>;\n  getAuthHeaders(url?: string): Headers | Promise<Headers>;\n}\n\nexport function getGoogleGenAIServerURL(\n  parentClient: GoogleGenAIParentClient,\n): string {\n  const serverURL = parentClient.getBaseUrl();\n  if (!serverURL) {\n    throw new Error(\"Base URL must be set.\");\n  }\n\n  return serverURL.replace(/\\/+$/, \"\");\n}\n\nexport function getGoogleGenAIAPIVersion(\n  parentClient: GoogleGenAIParentClient,\n): string {\n  const apiVersion = trimSlashes(parentClient.getApiVersion());\n  const project = parentClient.getProject();\n  const location = parentClient.getLocation();\n\n  if (parentClient.isVertexAI() && apiVersion && project && location) {\n    return (\n      `${apiVersion}/projects/${encodeURIComponent(project)}` +\n      `/locations/${encodeURIComponent(location)}`\n    );\n  }\n\n  return apiVersion;\n}\n\nexport function buildGoogleGenAIClient(\n  parentClient: GoogleGenAIParentClient,\n  options: SDKOptions = {},\n): GoogleGenAI {\n  const sdk = new GoogleGenAI({\n    ...options,\n    api_version: options.api_version ?? getGoogleGenAIAPIVersion(parentClient),\n    security:\n      options.security ??\n      (new GoogleGenAISecurityProvider({\n        defaultHeaders: parentClient.getDefaultHeaders?.(),\n        getAuthHeaders: (url) => parentClient.getAuthHeaders(url),\n      }) as SDKOptions[\"security\"]),\n    server_url: options.server_url ?? getGoogleGenAIServerURL(parentClient),\n  });\n  return sdk;\n}\n\nexport type GoogleGenAIRequestOptions = RequestOptions & {\n  timeout?: number;\n  maxRetries?: number;\n  defaultBaseURL?: string;\n  fetchOptions?: Omit<RequestInit, \"method\" | \"body\">;\n  query?: unknown;\n  body?: unknown;\n};\n\nexport type GoogleGenAISdkHttpResponse = {\n  headers?: Record<string, string>;\n  responseInternal: Response;\n  json(): Promise<unknown>;\n};\n\nexport type GoogleGenAIResponseWithSdkHttpResponse<T> = T & {\n  sdkHttpResponse?: GoogleGenAISdkHttpResponse;\n};\n\n// `steps` is wire-optional (Vertex Lyria envelopes can omit it) but the\n// bridge normalizes every interaction response to carry an array, so the\n// public type matches the baseline SDK's required `steps`.\nexport type GoogleGenAIInteraction = GoogleGenAIResponseWithSdkHttpResponse<\n  Omit<interactions.Interaction, \"steps\"> & { steps: interactions.Step[] }\n>;\n\nexport type GoogleGenAIInteractionSSEEvent = interactions.InteractionSSEEvent;\n\nexport type InteractionCreateParams = CreateInteractionParams;\n\nexport type InteractionCreateParamsNonStreaming =\n  CreateInteractionParamsNonStreaming;\n\nexport type InteractionCreateParamsStreaming = CreateInteractionParamsStreaming;\n\nexport type InteractionGetParams = GetInteractionByIdParams;\n\nexport type InteractionGetParamsNonStreaming =\n  GetInteractionByIdParamsNonStreaming;\n\nexport type InteractionGetParamsStreaming = GetInteractionByIdParamsStreaming;\n\nexport type ListAgentsParams = {\n  api_version?: string;\n  pageSize?: number;\n  pageToken?: string;\n  parent?: string;\n};\n\nexport type WebhookListParams = {\n  api_version?: string;\n  page_size?: number;\n  page_token?: string;\n};\n\nexport type WebhookUpdateParams = {\n  api_version?: string;\n  update_mask?: string;\n} & webhooks.WebhookUpdate;\n\nexport type WebhookRotateSigningSecretParams =\n  webhooks.RotateSigningSecretRequest & { api_version?: string };\n\nexport type WebhookPingParams = {\n  api_version?: string;\n  body?: webhooks.PingWebhookRequest;\n};\n\nexport class GeminiNextGenInteractions {\n  private sdk: GoogleGenAI | undefined;\n\n  constructor(private readonly parentClient: GoogleGenAIParentClient) {}\n\n  // The per-variant overloads are deliberately non-generic: signature help\n  // renders an instantiated type parameter as the inferred object literal,\n  // hiding the params type name (and property docs) from editors at matched\n  // call sites.\n  create(\n    params: CreateModelInteractionParamsNonStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction>;\n  create(\n    params: CreateAgentInteractionParamsNonStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction>;\n  create(\n    params: CreateModelInteractionParamsStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<Stream<GoogleGenAIInteractionSSEEvent>>;\n  create(\n    params: CreateAgentInteractionParamsStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<Stream<GoogleGenAIInteractionSSEEvent>>;\n  create(\n    params: InteractionCreateParamsStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<Stream<GoogleGenAIInteractionSSEEvent>>;\n  create(\n    params: InteractionCreateParamsNonStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction>;\n  create(\n    params: InteractionCreateParams,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction | Stream<GoogleGenAIInteractionSSEEvent>>;\n  async create(\n    params: InteractionCreateParams,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction | Stream<GoogleGenAIInteractionSSEEvent>> {\n    const { api_version, ...request } = params;\n    if (request.stream === true) {\n      const response = await wrapSDKCall(() =>\n        this.getClient(api_version).interactions.create(\n          {\n            ...(request as operations.CreateInteractionRequestBody),\n            stream: true,\n            api_version,\n          },\n          toGoogleGenAIRequestOptions(options, true),\n        ),\n      );\n      return wrapStreamErrors(\n        response as Stream<GoogleGenAIInteractionSSEEvent>,\n      );\n    }\n\n    const response = await unwrapWithSdkHttpResponse(\n      interactionsCreate(\n        this.getClient(api_version),\n        request as operations.CreateInteractionRequestBody,\n        api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n    return addOutputPropertiesIfInteraction(response) as GoogleGenAIInteraction;\n  }\n\n  get(\n    id: string,\n    params?: InteractionGetParamsNonStreaming | null,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction>;\n  get(\n    id: string,\n    params: InteractionGetParamsStreaming,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<Stream<GoogleGenAIInteractionSSEEvent>>;\n  get(\n    id: string,\n    params?: InteractionGetParams | null,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction | Stream<GoogleGenAIInteractionSSEEvent>>;\n  async get(\n    id: string,\n    params: InteractionGetParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction | Stream<GoogleGenAIInteractionSSEEvent>> {\n    const {\n      api_version,\n      stream = false,\n      last_event_id,\n      include_input,\n    } = params ?? {};\n    if (stream === true) {\n      const response = await wrapSDKCall(() =>\n        this.getClient(api_version).interactions.get(\n          id,\n          { stream, last_event_id, include_input, api_version },\n          toGoogleGenAIRequestOptions(options, true),\n        ),\n      );\n      return wrapStreamErrors(\n        response as Stream<GoogleGenAIInteractionSSEEvent>,\n      );\n    }\n\n    const response = await unwrapWithSdkHttpResponse(\n      interactionsGet(\n        this.getClient(api_version),\n        id,\n        stream,\n        last_event_id,\n        include_input,\n        api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n    return addOutputPropertiesIfInteraction(response) as GoogleGenAIInteraction;\n  }\n\n  async delete(\n    id: string,\n    params: { api_version?: string } | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<unknown> {\n    return wrapSDKCall(() =>\n      this.getClient(params?.api_version).interactions.delete(\n        id,\n        { api_version: params?.api_version },\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async cancel(\n    id: string,\n    params: { api_version?: string } | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<GoogleGenAIInteraction> {\n    return addOutputPropertiesIfInteraction(\n      await unwrapWithSdkHttpResponse(\n        interactionsCancel(\n          this.getClient(params?.api_version),\n          id,\n          params?.api_version,\n          toGoogleGenAIRequestOptions(options),\n        ),\n      ),\n    ) as GoogleGenAIInteraction;\n  }\n\n  private getClient(apiVersion: string | undefined): GoogleGenAI {\n    if (apiVersion) {\n      return buildGoogleGenAIClient(this.parentClient, {\n        api_version: apiVersion,\n      });\n    }\n\n    this.sdk ??= buildGoogleGenAIClient(this.parentClient);\n    return this.sdk;\n  }\n}\n\nexport class GeminiNextGenAgents {\n  private sdk: GoogleGenAI | undefined;\n\n  constructor(private readonly parentClient: GoogleGenAIParentClient) {}\n\n  async create(\n    params: CreateAgentParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<agents.Agent> {\n    const { api_version, ...body } = params ?? {};\n    return unwrapWithSdkHttpResponse(\n      agentsCreate(\n        this.getClient(api_version),\n        body,\n        api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async list(\n    params: ListAgentsParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<agents.AgentListResponse> {\n    const { api_version, pageSize, pageToken, parent } = params ?? {};\n    return unwrapWithSdkHttpResponse(\n      agentsList(\n        this.getClient(api_version),\n        api_version,\n        pageSize,\n        pageToken,\n        parent,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async get(\n    id: string,\n    params: GetAgentParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<agents.Agent> {\n    return unwrapWithSdkHttpResponse(\n      agentsGet(\n        this.getClient(params?.api_version),\n        id,\n        params?.api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async delete(\n    id: string,\n    params: DeleteAgentParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<interactions.Empty> {\n    return unwrapWithSdkHttpResponse(\n      agentsDelete(\n        this.getClient(params?.api_version),\n        id,\n        params?.api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  private getClient(apiVersion: string | undefined): GoogleGenAI {\n    if (apiVersion) {\n      return buildGoogleGenAIClient(this.parentClient, {\n        api_version: apiVersion,\n      });\n    }\n\n    this.sdk ??= buildGoogleGenAIClient(this.parentClient);\n    return this.sdk;\n  }\n}\n\nexport class GeminiNextGenWebhooks {\n  private sdk: GoogleGenAI | undefined;\n\n  constructor(private readonly parentClient: GoogleGenAIParentClient) {}\n\n  async create(\n    params: webhooks.WebhookInput & { api_version?: string },\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.Webhook> {\n    const { api_version, ...body } = params;\n    return unwrapWithSdkHttpResponse(\n      webhooksCreate(\n        this.getClient(),\n        body,\n        api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async list(\n    params: WebhookListParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.WebhookListResponse> {\n    const { api_version, page_size, page_token } = params ?? {};\n\n    return unwrapWithSdkHttpResponse(\n      webhooksList(\n        this.getClient(),\n        api_version,\n        page_size,\n        page_token,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async get(\n    id: string,\n    params: { api_version?: string } | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.Webhook> {\n    return unwrapWithSdkHttpResponse(\n      webhooksGet(\n        this.getClient(),\n        id,\n        params?.api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async update(\n    id: string,\n    params: WebhookUpdateParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.Webhook> {\n    const { api_version, update_mask, ...body } = params ?? {};\n\n    return unwrapWithSdkHttpResponse(\n      webhooksUpdate(\n        this.getClient(),\n        id,\n        api_version,\n        update_mask,\n        body,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async delete(\n    id: string,\n    params: { api_version?: string } | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<interactions.Empty> {\n    return unwrapWithSdkHttpResponse(\n      webhooksDelete(\n        this.getClient(),\n        id,\n        params?.api_version,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async rotateSigningSecret(\n    id: string,\n    params: WebhookRotateSigningSecretParams | null | undefined = {},\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.WebhookRotateSigningSecretResponse> {\n    const { api_version, ...body } = params ?? {};\n    return unwrapWithSdkHttpResponse(\n      webhooksRotateSigningSecret(\n        this.getClient(),\n        id,\n        api_version,\n        body,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  async ping(\n    id: string,\n    params: WebhookPingParams | null | undefined = undefined,\n    options?: GoogleGenAIRequestOptions,\n  ): Promise<webhooks.WebhookPingResponse> {\n    const { api_version, body } = params ?? {};\n    return unwrapWithSdkHttpResponse(\n      webhooksPing(\n        this.getClient(),\n        id,\n        api_version,\n        body,\n        toGoogleGenAIRequestOptions(options),\n      ),\n    );\n  }\n\n  private getClient(): GoogleGenAI {\n    this.sdk ??= buildGoogleGenAIClient(this.parentClient);\n    return this.sdk;\n  }\n}\n\nfunction trimSlashes(value: string): string {\n  return value.replace(/^\\/+|\\/+$/g, \"\");\n}\n\nfunction toGoogleGenAIRequestOptions(\n  options: GoogleGenAIRequestOptions | undefined,\n  streaming = false,\n): RequestOptions | undefined {\n  if (!options && !streaming) {\n    return undefined;\n  }\n\n  const {\n    timeout,\n    maxRetries,\n    defaultBaseURL,\n    query,\n    body,\n    fetchOptions,\n    ...rest\n  } = options ?? {};\n\n  const nextOptions: RequestOptions = {\n    ...rest,\n  };\n\n  if (isPlainObject(query)) {\n    nextOptions.extra_query = query;\n  } else {\n    warnIgnoredOption(\"query\", query);\n  }\n  if (isPlainObject(body)) {\n    nextOptions.extra_body = body;\n  } else {\n    warnIgnoredOption(\"body\", body);\n  }\n\n  const fetch_options = rest.fetch_options ?? fetchOptions;\n  if (fetch_options) {\n    nextOptions.fetch_options = fetch_options;\n  }\n  const server_url = rest.server_url ?? defaultBaseURL;\n  if (server_url) {\n    nextOptions.server_url = server_url;\n  }\n  const timeout_ms = rest.timeout_ms ?? timeout;\n  if (timeout_ms !== undefined) {\n    nextOptions.timeout_ms = timeout_ms;\n  }\n  if (maxRetries !== undefined) {\n    nextOptions.retries = {\n      strategy: \"attempt-count-backoff\",\n      retryConnectionErrors: true,\n      maxRetries,\n    };\n  }\n  if (streaming) {\n    const headers = new Headers(nextOptions.headers ?? fetch_options?.headers);\n    headers.set(\"Accept\", \"text/event-stream\");\n    nextOptions.headers = headers;\n  }\n\n  return nextOptions;\n}\n\nfunction warnIgnoredOption(name: string, value: unknown): void {\n  if (value !== undefined && value !== null) {\n    console.warn(\n      `GoogleGenAI.interactions: request option ${name} is not supported by the Google GenAI interactions bridge and will be ignored.`,\n    );\n  }\n}\n\nasync function unwrapWithSdkHttpResponse<T>(\n  promise: APIPromise<Result<T, unknown>>,\n): Promise<GoogleGenAIResponseWithSdkHttpResponse<T>> {\n  const [result, call] = await promise.$inspect();\n  if (!result.ok) {\n    throw wrapSDKError(result.error);\n  }\n\n  return attachSdkHttpResponse(result.value, call);\n}\n\nasync function wrapSDKCall<T>(operation: () => Promise<T>): Promise<T> {\n  try {\n    return await operation();\n  } catch (error) {\n    throw wrapSDKError(error);\n  }\n}\n\nfunction wrapStreamErrors<T>(stream: Stream<T>): Stream<T> {\n  const asyncIterable = stream as AsyncIterable<T>;\n  return new Proxy(stream, {\n    get(target, property) {\n      if (property !== Symbol.asyncIterator) {\n        const value = Reflect.get(target, property, target) as unknown;\n        return typeof value === \"function\" ? value.bind(target) : value;\n      }\n\n      return function wrappedAsyncIterator() {\n        const iterator = asyncIterable[Symbol.asyncIterator]();\n        return {\n          async next(...args: [] | [undefined]) {\n            try {\n              return await iterator.next(...args);\n            } catch (error) {\n              throw wrapSDKError(error);\n            }\n          },\n          async return(value?: unknown) {\n            if (!iterator.return) {\n              return { done: true, value } as IteratorReturnResult<unknown>;\n            }\n            try {\n              return await iterator.return(value as never);\n            } catch (error) {\n              throw wrapSDKError(error);\n            }\n          },\n          async throw(error?: unknown) {\n            if (!iterator.throw) {\n              throw wrapSDKError(error);\n            }\n            try {\n              return await iterator.throw(error as never);\n            } catch (caught) {\n              throw wrapSDKError(caught);\n            }\n          },\n          [Symbol.asyncIterator]() {\n            return this;\n          },\n        } satisfies AsyncIterableIterator<T>;\n      };\n    },\n  });\n}\n\nfunction attachSdkHttpResponse<T>(\n  value: T,\n  call: APICall,\n): GoogleGenAIResponseWithSdkHttpResponse<T> {\n  if (!isPlainObject(value) || call.status !== \"complete\") {\n    return value as GoogleGenAIResponseWithSdkHttpResponse<T>;\n  }\n\n  return {\n    ...value,\n    sdkHttpResponse: createSdkHttpResponse(call.response, value),\n  } as GoogleGenAIResponseWithSdkHttpResponse<T>;\n}\n\nfunction createSdkHttpResponse(\n  response: Response,\n  parsedBody: unknown,\n): GoogleGenAISdkHttpResponse {\n  const headers: Record<string, string> = {};\n  for (const [key, value] of response.headers.entries()) {\n    headers[key] = value;\n  }\n\n  return {\n    headers,\n    responseInternal: response,\n    json: async () => parsedBody,\n  };\n}\n\nfunction addOutputPropertiesIfInteraction(value: unknown): unknown {\n  const interaction = normalizeInteractionShape(value);\n  if (!interaction) {\n    return value;\n  }\n\n  return addOutputProperties(interaction);\n}\n\nfunction normalizeInteractionShape(\n  value: unknown,\n): Record<string, any> | undefined {\n  if (!isPlainObject(value)) {\n    return undefined;\n  }\n\n  if (Array.isArray(value[\"steps\"])) {\n    return value;\n  }\n\n  if (isLegacyLyriaInteraction(value)) {\n    const outputs = value[\"outputs\"];\n    if (Array.isArray(outputs)) {\n      const { outputs: _outputs, ...rest } = value;\n      return {\n        ...rest,\n        steps: [{ type: \"model_output\", content: outputs }],\n      };\n    }\n  }\n\n  // Every interaction response carries a steps array on the public surface\n  // even when the wire payload omits it (e.g. Lyria envelopes).\n  return {\n    ...value,\n    steps: [],\n  };\n}\n\nfunction isLegacyLyriaInteraction(value: Record<string, unknown>): boolean {\n  const model = value[\"model\"];\n  return typeof model === \"string\" && LEGACY_LYRIA_MODELS.has(model);\n}\n\nfunction isPlainObject(value: unknown): value is Record<string, any> {\n  return typeof value === \"object\" && value !== null && !Array.isArray(value);\n}\n\nfunction addOutputProperties(interaction: Record<string, any>): unknown {\n  const normalized = normalizeInteractionDates(interaction);\n  const steps = normalized[\"steps\"] ?? [];\n  const textParts: string[] = [];\n  let collecting = false;\n\n  outer: for (let i = steps.length - 1; i >= 0; i--) {\n    const step = steps[i]!;\n    if (step.type === \"user_input\") {\n      break;\n    }\n    if (step.type !== \"model_output\" || !step.content) {\n      if (collecting) {\n        break;\n      }\n      continue;\n    }\n\n    const content = step.content;\n    for (let j = content.length - 1; j >= 0; j--) {\n      const item = content[j]!;\n      if (item.type === \"text\") {\n        collecting = true;\n        textParts.push(item.text ?? \"\");\n      } else if (collecting) {\n        break outer;\n      }\n    }\n  }\n\n  let output_image: unknown;\n  let output_audio: unknown;\n  let output_video: unknown;\n\n  for (let i = steps.length - 1; i >= 0; i--) {\n    const step = steps[i]!;\n    if (step.type === \"user_input\") {\n      break;\n    }\n    if (step.type === \"model_output\" && step.content) {\n      for (let j = step.content.length - 1; j >= 0; j--) {\n        const content = step.content[j]!;\n        if (content.type === \"image\" && !output_image) {\n          output_image = content;\n        }\n        if (content.type === \"audio\" && !output_audio) {\n          output_audio = content;\n        }\n        if (content.type === \"video\" && !output_video) {\n          output_video = content;\n        }\n      }\n    }\n  }\n\n  const output_text = textParts.reverse().join(\"\");\n  return {\n    ...normalized,\n    ...(output_text && { output_text }),\n    ...(output_image ? { output_image } : {}),\n    ...(output_audio ? { output_audio } : {}),\n    ...(output_video ? { output_video } : {}),\n  };\n}\n\nfunction normalizeInteractionDates(\n  interaction: Record<string, any>,\n): Record<string, any> {\n  return {\n    ...interaction,\n    created: normalizeDateLike(interaction[\"created\"]),\n    updated: normalizeDateLike(interaction[\"updated\"]),\n  };\n}\n\nfunction normalizeDateLike(value: unknown): unknown {\n  return value instanceof Date ? value.toISOString() : value;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function audioTranscriptionConfigToMldev(\n  fromObject: types.AudioTranscriptionConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['languageCodes']) !== undefined) {\n    throw new Error(\n      'languageCodes parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromLanguageAuto = common.getValueByPath(fromObject, ['languageAuto']);\n  if (fromLanguageAuto != null) {\n    common.setValueByPath(toObject, ['languageAuto'], fromLanguageAuto);\n  }\n\n  const fromLanguageHints = common.getValueByPath(fromObject, [\n    'languageHints',\n  ]);\n  if (fromLanguageHints != null) {\n    common.setValueByPath(toObject, ['languageHints'], fromLanguageHints);\n  }\n\n  const fromAdaptationPhrases = common.getValueByPath(fromObject, [\n    'adaptationPhrases',\n  ]);\n  if (fromAdaptationPhrases != null) {\n    common.setValueByPath(\n      toObject,\n      ['adaptationPhrases'],\n      fromAdaptationPhrases,\n    );\n  }\n\n  return toObject;\n}\n\nexport function authConfigToMldev(\n  fromObject: types.AuthConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromApiKey = common.getValueByPath(fromObject, ['apiKey']);\n  if (fromApiKey != null) {\n    common.setValueByPath(toObject, ['apiKey'], fromApiKey);\n  }\n\n  if (common.getValueByPath(fromObject, ['apiKeyConfig']) !== undefined) {\n    throw new Error(\n      'apiKeyConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['authType']) !== undefined) {\n    throw new Error(\n      'authType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['googleServiceAccountConfig']) !==\n    undefined\n  ) {\n    throw new Error(\n      'googleServiceAccountConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['httpBasicAuthConfig']) !== undefined\n  ) {\n    throw new Error(\n      'httpBasicAuthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oauthConfig']) !== undefined) {\n    throw new Error(\n      'oauthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oidcConfig']) !== undefined) {\n    throw new Error(\n      'oidcConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function blobToMldev(fromObject: types.Blob): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromData = common.getValueByPath(fromObject, ['data']);\n  if (fromData != null) {\n    common.setValueByPath(toObject, ['data'], fromData);\n  }\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function codeExecutionResultToVertex(\n  fromObject: types.CodeExecutionResult,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutcome = common.getValueByPath(fromObject, ['outcome']);\n  if (fromOutcome != null) {\n    common.setValueByPath(toObject, ['outcome'], fromOutcome);\n  }\n\n  const fromOutput = common.getValueByPath(fromObject, ['output']);\n  if (fromOutput != null) {\n    common.setValueByPath(toObject, ['output'], fromOutput);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function computerUseToVertex(\n  fromObject: types.ComputerUse,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromEnvironment = common.getValueByPath(fromObject, ['environment']);\n  if (fromEnvironment != null) {\n    common.setValueByPath(toObject, ['environment'], fromEnvironment);\n  }\n\n  const fromExcludedPredefinedFunctions = common.getValueByPath(fromObject, [\n    'excludedPredefinedFunctions',\n  ]);\n  if (fromExcludedPredefinedFunctions != null) {\n    common.setValueByPath(\n      toObject,\n      ['excludedPredefinedFunctions'],\n      fromExcludedPredefinedFunctions,\n    );\n  }\n\n  const fromEnablePromptInjectionDetection = common.getValueByPath(fromObject, [\n    'enablePromptInjectionDetection',\n  ]);\n  if (fromEnablePromptInjectionDetection != null) {\n    common.setValueByPath(\n      toObject,\n      ['enablePromptInjectionDetection'],\n      fromEnablePromptInjectionDetection,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['disabledSafetyPolicies']) !== undefined\n  ) {\n    throw new Error(\n      'disabledSafetyPolicies parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function contentToMldev(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function contentToVertex(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function executableCodeToVertex(\n  fromObject: types.ExecutableCode,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCode = common.getValueByPath(fromObject, ['code']);\n  if (fromCode != null) {\n    common.setValueByPath(toObject, ['code'], fromCode);\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (fromLanguage != null) {\n    common.setValueByPath(toObject, ['language'], fromLanguage);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function fileDataToMldev(\n  fromObject: types.FileData,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileUri = common.getValueByPath(fromObject, ['fileUri']);\n  if (fromFileUri != null) {\n    common.setValueByPath(toObject, ['fileUri'], fromFileUri);\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function functionCallToMldev(\n  fromObject: types.FunctionCall,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromId = common.getValueByPath(fromObject, ['id']);\n  if (fromId != null) {\n    common.setValueByPath(toObject, ['id'], fromId);\n  }\n\n  const fromArgs = common.getValueByPath(fromObject, ['args']);\n  if (fromArgs != null) {\n    common.setValueByPath(toObject, ['args'], fromArgs);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  if (common.getValueByPath(fromObject, ['partialArgs']) !== undefined) {\n    throw new Error(\n      'partialArgs parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['willContinue']) !== undefined) {\n    throw new Error(\n      'willContinue parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generationConfigToVertex(\n  fromObject: types.GenerationConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModelSelectionConfig = common.getValueByPath(fromObject, [\n    'modelSelectionConfig',\n  ]);\n  if (fromModelSelectionConfig != null) {\n    common.setValueByPath(toObject, ['modelConfig'], fromModelSelectionConfig);\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  const fromAudioTimestamp = common.getValueByPath(fromObject, [\n    'audioTimestamp',\n  ]);\n  if (fromAudioTimestamp != null) {\n    common.setValueByPath(toObject, ['audioTimestamp'], fromAudioTimestamp);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      toObject,\n      ['enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(toObject, ['responseSchema'], fromResponseSchema);\n  }\n\n  const fromRoutingConfig = common.getValueByPath(fromObject, [\n    'routingConfig',\n  ]);\n  if (fromRoutingConfig != null) {\n    common.setValueByPath(toObject, ['routingConfig'], fromRoutingConfig);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['speechConfig'],\n      speechConfigToVertex(fromSpeechConfig),\n    );\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enableEnhancedCivicAnswers']) !==\n    undefined\n  ) {\n    throw new Error(\n      'enableEnhancedCivicAnswers parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromResponseFormat = common.getValueByPath(fromObject, [\n    'responseFormat',\n  ]);\n  if (fromResponseFormat != null) {\n    let transformedList = fromResponseFormat;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['responseFormat'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['translationConfig']) !== undefined) {\n    throw new Error(\n      'translationConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function googleMapsToMldev(\n  fromObject: types.GoogleMaps,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAuthConfig = common.getValueByPath(fromObject, ['authConfig']);\n  if (fromAuthConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['authConfig'],\n      authConfigToMldev(fromAuthConfig),\n    );\n  }\n\n  const fromEnableWidget = common.getValueByPath(fromObject, ['enableWidget']);\n  if (fromEnableWidget != null) {\n    common.setValueByPath(toObject, ['enableWidget'], fromEnableWidget);\n  }\n\n  return toObject;\n}\n\nexport function googleSearchToMldev(\n  fromObject: types.GoogleSearch,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSearchTypes = common.getValueByPath(fromObject, ['searchTypes']);\n  if (fromSearchTypes != null) {\n    common.setValueByPath(toObject, ['searchTypes'], fromSearchTypes);\n  }\n\n  if (common.getValueByPath(fromObject, ['blockingConfidence']) !== undefined) {\n    throw new Error(\n      'blockingConfidence parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['excludeDomains']) !== undefined) {\n    throw new Error(\n      'excludeDomains parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTimeRangeFilter = common.getValueByPath(fromObject, [\n    'timeRangeFilter',\n  ]);\n  if (fromTimeRangeFilter != null) {\n    common.setValueByPath(toObject, ['timeRangeFilter'], fromTimeRangeFilter);\n  }\n\n  return toObject;\n}\n\nexport function liveClientContentToMldev(\n  fromObject: types.LiveClientContent,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTurns = common.getValueByPath(fromObject, ['turns']);\n  if (fromTurns != null) {\n    let transformedList = fromTurns;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['turns'], transformedList);\n  }\n\n  const fromTurnComplete = common.getValueByPath(fromObject, ['turnComplete']);\n  if (fromTurnComplete != null) {\n    common.setValueByPath(toObject, ['turnComplete'], fromTurnComplete);\n  }\n\n  return toObject;\n}\n\nexport function liveClientContentToVertex(\n  fromObject: types.LiveClientContent,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTurns = common.getValueByPath(fromObject, ['turns']);\n  if (fromTurns != null) {\n    let transformedList = fromTurns;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['turns'], transformedList);\n  }\n\n  const fromTurnComplete = common.getValueByPath(fromObject, ['turnComplete']);\n  if (fromTurnComplete != null) {\n    common.setValueByPath(toObject, ['turnComplete'], fromTurnComplete);\n  }\n\n  return toObject;\n}\n\nexport function liveClientMessageToMldev(\n  fromObject: types.LiveClientMessage,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSetup = common.getValueByPath(fromObject, ['setup']);\n  if (fromSetup != null) {\n    common.setValueByPath(\n      toObject,\n      ['setup'],\n      liveClientSetupToMldev(fromSetup),\n    );\n  }\n\n  const fromClientContent = common.getValueByPath(fromObject, [\n    'clientContent',\n  ]);\n  if (fromClientContent != null) {\n    common.setValueByPath(\n      toObject,\n      ['clientContent'],\n      liveClientContentToMldev(fromClientContent),\n    );\n  }\n\n  const fromRealtimeInput = common.getValueByPath(fromObject, [\n    'realtimeInput',\n  ]);\n  if (fromRealtimeInput != null) {\n    common.setValueByPath(\n      toObject,\n      ['realtimeInput'],\n      liveClientRealtimeInputToMldev(fromRealtimeInput),\n    );\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  return toObject;\n}\n\nexport function liveClientMessageToVertex(\n  fromObject: types.LiveClientMessage,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSetup = common.getValueByPath(fromObject, ['setup']);\n  if (fromSetup != null) {\n    common.setValueByPath(\n      toObject,\n      ['setup'],\n      liveClientSetupToVertex(fromSetup),\n    );\n  }\n\n  const fromClientContent = common.getValueByPath(fromObject, [\n    'clientContent',\n  ]);\n  if (fromClientContent != null) {\n    common.setValueByPath(\n      toObject,\n      ['clientContent'],\n      liveClientContentToVertex(fromClientContent),\n    );\n  }\n\n  const fromRealtimeInput = common.getValueByPath(fromObject, [\n    'realtimeInput',\n  ]);\n  if (fromRealtimeInput != null) {\n    common.setValueByPath(\n      toObject,\n      ['realtimeInput'],\n      liveClientRealtimeInputToVertex(fromRealtimeInput),\n    );\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  return toObject;\n}\n\nexport function liveClientRealtimeInputToMldev(\n  fromObject: types.LiveClientRealtimeInput,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaChunks = common.getValueByPath(fromObject, ['mediaChunks']);\n  if (fromMediaChunks != null) {\n    let transformedList = fromMediaChunks;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return blobToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['mediaChunks'], transformedList);\n  }\n\n  const fromAudio = common.getValueByPath(fromObject, ['audio']);\n  if (fromAudio != null) {\n    common.setValueByPath(toObject, ['audio'], blobToMldev(fromAudio));\n  }\n\n  const fromAudioStreamEnd = common.getValueByPath(fromObject, [\n    'audioStreamEnd',\n  ]);\n  if (fromAudioStreamEnd != null) {\n    common.setValueByPath(toObject, ['audioStreamEnd'], fromAudioStreamEnd);\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(toObject, ['video'], blobToMldev(fromVideo));\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromActivityStart = common.getValueByPath(fromObject, [\n    'activityStart',\n  ]);\n  if (fromActivityStart != null) {\n    common.setValueByPath(toObject, ['activityStart'], fromActivityStart);\n  }\n\n  const fromActivityEnd = common.getValueByPath(fromObject, ['activityEnd']);\n  if (fromActivityEnd != null) {\n    common.setValueByPath(toObject, ['activityEnd'], fromActivityEnd);\n  }\n\n  return toObject;\n}\n\nexport function liveClientRealtimeInputToVertex(\n  fromObject: types.LiveClientRealtimeInput,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaChunks = common.getValueByPath(fromObject, ['mediaChunks']);\n  if (fromMediaChunks != null) {\n    let transformedList = fromMediaChunks;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mediaChunks'], transformedList);\n  }\n\n  const fromAudio = common.getValueByPath(fromObject, ['audio']);\n  if (fromAudio != null) {\n    common.setValueByPath(toObject, ['audio'], fromAudio);\n  }\n\n  if (common.getValueByPath(fromObject, ['audioStreamEnd']) !== undefined) {\n    throw new Error(\n      'audioStreamEnd parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(toObject, ['video'], fromVideo);\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromActivityStart = common.getValueByPath(fromObject, [\n    'activityStart',\n  ]);\n  if (fromActivityStart != null) {\n    common.setValueByPath(toObject, ['activityStart'], fromActivityStart);\n  }\n\n  const fromActivityEnd = common.getValueByPath(fromObject, ['activityEnd']);\n  if (fromActivityEnd != null) {\n    common.setValueByPath(toObject, ['activityEnd'], fromActivityEnd);\n  }\n\n  return toObject;\n}\n\nexport function liveClientSetupToMldev(\n  fromObject: types.LiveClientSetup,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], fromModel);\n  }\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (fromGenerationConfig != null) {\n    common.setValueByPath(toObject, ['generationConfig'], fromGenerationConfig);\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (fromSystemInstruction != null) {\n    common.setValueByPath(\n      toObject,\n      ['systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(t.tTool(item));\n      });\n    }\n    common.setValueByPath(toObject, ['tools'], transformedList);\n  }\n\n  const fromRealtimeInputConfig = common.getValueByPath(fromObject, [\n    'realtimeInputConfig',\n  ]);\n  if (fromRealtimeInputConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['realtimeInputConfig'],\n      fromRealtimeInputConfig,\n    );\n  }\n\n  const fromSessionResumption = common.getValueByPath(fromObject, [\n    'sessionResumption',\n  ]);\n  if (fromSessionResumption != null) {\n    common.setValueByPath(\n      toObject,\n      ['sessionResumption'],\n      sessionResumptionConfigToMldev(fromSessionResumption),\n    );\n  }\n\n  const fromContextWindowCompression = common.getValueByPath(fromObject, [\n    'contextWindowCompression',\n  ]);\n  if (fromContextWindowCompression != null) {\n    common.setValueByPath(\n      toObject,\n      ['contextWindowCompression'],\n      fromContextWindowCompression,\n    );\n  }\n\n  const fromInputAudioTranscription = common.getValueByPath(fromObject, [\n    'inputAudioTranscription',\n  ]);\n  if (fromInputAudioTranscription != null) {\n    common.setValueByPath(\n      toObject,\n      ['inputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromInputAudioTranscription),\n    );\n  }\n\n  const fromOutputAudioTranscription = common.getValueByPath(fromObject, [\n    'outputAudioTranscription',\n  ]);\n  if (fromOutputAudioTranscription != null) {\n    common.setValueByPath(\n      toObject,\n      ['outputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromOutputAudioTranscription),\n    );\n  }\n\n  const fromProactivity = common.getValueByPath(fromObject, ['proactivity']);\n  if (fromProactivity != null) {\n    common.setValueByPath(toObject, ['proactivity'], fromProactivity);\n  }\n\n  if (common.getValueByPath(fromObject, ['explicitVadSignal']) !== undefined) {\n    throw new Error(\n      'explicitVadSignal parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromAvatarConfig = common.getValueByPath(fromObject, ['avatarConfig']);\n  if (fromAvatarConfig != null) {\n    common.setValueByPath(toObject, ['avatarConfig'], fromAvatarConfig);\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return safetySettingToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['safetySettings'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function liveClientSetupToVertex(\n  fromObject: types.LiveClientSetup,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], fromModel);\n  }\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (fromGenerationConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['generationConfig'],\n      generationConfigToVertex(fromGenerationConfig),\n    );\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (fromSystemInstruction != null) {\n    common.setValueByPath(\n      toObject,\n      ['systemInstruction'],\n      contentToVertex(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToVertex(t.tTool(item));\n      });\n    }\n    common.setValueByPath(toObject, ['tools'], transformedList);\n  }\n\n  const fromRealtimeInputConfig = common.getValueByPath(fromObject, [\n    'realtimeInputConfig',\n  ]);\n  if (fromRealtimeInputConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['realtimeInputConfig'],\n      fromRealtimeInputConfig,\n    );\n  }\n\n  const fromSessionResumption = common.getValueByPath(fromObject, [\n    'sessionResumption',\n  ]);\n  if (fromSessionResumption != null) {\n    common.setValueByPath(\n      toObject,\n      ['sessionResumption'],\n      fromSessionResumption,\n    );\n  }\n\n  const fromContextWindowCompression = common.getValueByPath(fromObject, [\n    'contextWindowCompression',\n  ]);\n  if (fromContextWindowCompression != null) {\n    common.setValueByPath(\n      toObject,\n      ['contextWindowCompression'],\n      fromContextWindowCompression,\n    );\n  }\n\n  const fromInputAudioTranscription = common.getValueByPath(fromObject, [\n    'inputAudioTranscription',\n  ]);\n  if (fromInputAudioTranscription != null) {\n    common.setValueByPath(\n      toObject,\n      ['inputAudioTranscription'],\n      fromInputAudioTranscription,\n    );\n  }\n\n  const fromOutputAudioTranscription = common.getValueByPath(fromObject, [\n    'outputAudioTranscription',\n  ]);\n  if (fromOutputAudioTranscription != null) {\n    common.setValueByPath(\n      toObject,\n      ['outputAudioTranscription'],\n      fromOutputAudioTranscription,\n    );\n  }\n\n  const fromProactivity = common.getValueByPath(fromObject, ['proactivity']);\n  if (fromProactivity != null) {\n    common.setValueByPath(toObject, ['proactivity'], fromProactivity);\n  }\n\n  const fromExplicitVadSignal = common.getValueByPath(fromObject, [\n    'explicitVadSignal',\n  ]);\n  if (fromExplicitVadSignal != null) {\n    common.setValueByPath(\n      toObject,\n      ['explicitVadSignal'],\n      fromExplicitVadSignal,\n    );\n  }\n\n  const fromAvatarConfig = common.getValueByPath(fromObject, ['avatarConfig']);\n  if (fromAvatarConfig != null) {\n    common.setValueByPath(toObject, ['avatarConfig'], fromAvatarConfig);\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['safetySettings'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function liveConnectConfigToMldev(\n  fromObject: types.LiveConnectConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (parentObject !== undefined && fromGenerationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig'],\n      fromGenerationConfig,\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (parentObject !== undefined && fromResponseModalities != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (parentObject !== undefined && fromTemperature != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'temperature'],\n      fromTemperature,\n    );\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (parentObject !== undefined && fromTopP != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topP'],\n      fromTopP,\n    );\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (parentObject !== undefined && fromTopK != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topK'],\n      fromTopK,\n    );\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (parentObject !== undefined && fromMaxOutputTokens != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'maxOutputTokens'],\n      fromMaxOutputTokens,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (parentObject !== undefined && fromMediaResolution != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'mediaResolution'],\n      fromMediaResolution,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'seed'],\n      fromSeed,\n    );\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (parentObject !== undefined && fromSpeechConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'speechConfig'],\n      t.tLiveSpeechConfig(fromSpeechConfig),\n    );\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (parentObject !== undefined && fromThinkingConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'thinkingConfig'],\n      fromThinkingConfig,\n    );\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (parentObject !== undefined && fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(t.tTool(item));\n      });\n    }\n    common.setValueByPath(parentObject, ['setup', 'tools'], transformedList);\n  }\n\n  const fromSessionResumption = common.getValueByPath(fromObject, [\n    'sessionResumption',\n  ]);\n  if (parentObject !== undefined && fromSessionResumption != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'sessionResumption'],\n      sessionResumptionConfigToMldev(fromSessionResumption),\n    );\n  }\n\n  const fromInputAudioTranscription = common.getValueByPath(fromObject, [\n    'inputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromInputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'inputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromInputAudioTranscription),\n    );\n  }\n\n  const fromOutputAudioTranscription = common.getValueByPath(fromObject, [\n    'outputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromOutputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'outputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromOutputAudioTranscription),\n    );\n  }\n\n  const fromRealtimeInputConfig = common.getValueByPath(fromObject, [\n    'realtimeInputConfig',\n  ]);\n  if (parentObject !== undefined && fromRealtimeInputConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'realtimeInputConfig'],\n      fromRealtimeInputConfig,\n    );\n  }\n\n  const fromContextWindowCompression = common.getValueByPath(fromObject, [\n    'contextWindowCompression',\n  ]);\n  if (parentObject !== undefined && fromContextWindowCompression != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'contextWindowCompression'],\n      fromContextWindowCompression,\n    );\n  }\n\n  const fromProactivity = common.getValueByPath(fromObject, ['proactivity']);\n  if (parentObject !== undefined && fromProactivity != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'proactivity'],\n      fromProactivity,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['explicitVadSignal']) !== undefined) {\n    throw new Error(\n      'explicitVadSignal parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromAvatarConfig = common.getValueByPath(fromObject, ['avatarConfig']);\n  if (parentObject !== undefined && fromAvatarConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'avatarConfig'],\n      fromAvatarConfig,\n    );\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return safetySettingToMldev(item);\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'safetySettings'],\n      transformedList,\n    );\n  }\n\n  const fromTranslationConfig = common.getValueByPath(fromObject, [\n    'translationConfig',\n  ]);\n  if (parentObject !== undefined && fromTranslationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'translationConfig'],\n      fromTranslationConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveConnectConfigToVertex(\n  fromObject: types.LiveConnectConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (parentObject !== undefined && fromGenerationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig'],\n      generationConfigToVertex(fromGenerationConfig),\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (parentObject !== undefined && fromResponseModalities != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (parentObject !== undefined && fromTemperature != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'temperature'],\n      fromTemperature,\n    );\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (parentObject !== undefined && fromTopP != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topP'],\n      fromTopP,\n    );\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (parentObject !== undefined && fromTopK != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topK'],\n      fromTopK,\n    );\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (parentObject !== undefined && fromMaxOutputTokens != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'maxOutputTokens'],\n      fromMaxOutputTokens,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (parentObject !== undefined && fromMediaResolution != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'mediaResolution'],\n      fromMediaResolution,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'seed'],\n      fromSeed,\n    );\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (parentObject !== undefined && fromSpeechConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'speechConfig'],\n      speechConfigToVertex(t.tLiveSpeechConfig(fromSpeechConfig)),\n    );\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (parentObject !== undefined && fromThinkingConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'thinkingConfig'],\n      fromThinkingConfig,\n    );\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (parentObject !== undefined && fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'systemInstruction'],\n      contentToVertex(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToVertex(t.tTool(item));\n      });\n    }\n    common.setValueByPath(parentObject, ['setup', 'tools'], transformedList);\n  }\n\n  const fromSessionResumption = common.getValueByPath(fromObject, [\n    'sessionResumption',\n  ]);\n  if (parentObject !== undefined && fromSessionResumption != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'sessionResumption'],\n      fromSessionResumption,\n    );\n  }\n\n  const fromInputAudioTranscription = common.getValueByPath(fromObject, [\n    'inputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromInputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'inputAudioTranscription'],\n      fromInputAudioTranscription,\n    );\n  }\n\n  const fromOutputAudioTranscription = common.getValueByPath(fromObject, [\n    'outputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromOutputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'outputAudioTranscription'],\n      fromOutputAudioTranscription,\n    );\n  }\n\n  const fromRealtimeInputConfig = common.getValueByPath(fromObject, [\n    'realtimeInputConfig',\n  ]);\n  if (parentObject !== undefined && fromRealtimeInputConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'realtimeInputConfig'],\n      fromRealtimeInputConfig,\n    );\n  }\n\n  const fromContextWindowCompression = common.getValueByPath(fromObject, [\n    'contextWindowCompression',\n  ]);\n  if (parentObject !== undefined && fromContextWindowCompression != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'contextWindowCompression'],\n      fromContextWindowCompression,\n    );\n  }\n\n  const fromProactivity = common.getValueByPath(fromObject, ['proactivity']);\n  if (parentObject !== undefined && fromProactivity != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'proactivity'],\n      fromProactivity,\n    );\n  }\n\n  const fromExplicitVadSignal = common.getValueByPath(fromObject, [\n    'explicitVadSignal',\n  ]);\n  if (parentObject !== undefined && fromExplicitVadSignal != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'explicitVadSignal'],\n      fromExplicitVadSignal,\n    );\n  }\n\n  const fromAvatarConfig = common.getValueByPath(fromObject, ['avatarConfig']);\n  if (parentObject !== undefined && fromAvatarConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'avatarConfig'],\n      fromAvatarConfig,\n    );\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'safetySettings'],\n      transformedList,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['translationConfig']) !== undefined) {\n    throw new Error(\n      'translationConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveConnectParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.LiveConnectParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['setup', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['config'],\n      liveConnectConfigToMldev(fromConfig, toObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveConnectParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.LiveConnectParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['setup', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['config'],\n      liveConnectConfigToVertex(fromConfig, toObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveMusicClientMessageToVertex(\n  fromObject: types.LiveMusicClientMessage,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['setup']) !== undefined) {\n    throw new Error(\n      'setup parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['clientContent']) !== undefined) {\n    throw new Error(\n      'clientContent parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['musicGenerationConfig']) !== undefined\n  ) {\n    throw new Error(\n      'musicGenerationConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['playbackControl']) !== undefined) {\n    throw new Error(\n      'playbackControl parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveMusicConnectParametersToMldev(\n  fromObject: types.LiveMusicConnectParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['setup', 'model'], fromModel);\n  }\n\n  const fromCallbacks = common.getValueByPath(fromObject, ['callbacks']);\n  if (fromCallbacks != null) {\n    common.setValueByPath(toObject, ['callbacks'], fromCallbacks);\n  }\n\n  return toObject;\n}\n\nexport function liveMusicConnectParametersToVertex(\n  fromObject: types.LiveMusicConnectParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['model']) !== undefined) {\n    throw new Error(\n      'model parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['callbacks']) !== undefined) {\n    throw new Error(\n      'callbacks parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveMusicSetConfigParametersToMldev(\n  fromObject: types.LiveMusicSetConfigParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMusicGenerationConfig = common.getValueByPath(fromObject, [\n    'musicGenerationConfig',\n  ]);\n  if (fromMusicGenerationConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['musicGenerationConfig'],\n      fromMusicGenerationConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveMusicSetConfigParametersToVertex(\n  fromObject: types.LiveMusicSetConfigParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (\n    common.getValueByPath(fromObject, ['musicGenerationConfig']) !== undefined\n  ) {\n    throw new Error(\n      'musicGenerationConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveMusicSetWeightedPromptsParametersToMldev(\n  fromObject: types.LiveMusicSetWeightedPromptsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromWeightedPrompts = common.getValueByPath(fromObject, [\n    'weightedPrompts',\n  ]);\n  if (fromWeightedPrompts != null) {\n    let transformedList = fromWeightedPrompts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['weightedPrompts'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function liveMusicSetWeightedPromptsParametersToVertex(\n  fromObject: types.LiveMusicSetWeightedPromptsParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['weightedPrompts']) !== undefined) {\n    throw new Error(\n      'weightedPrompts parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveSendRealtimeInputParametersToMldev(\n  fromObject: types.LiveSendRealtimeInputParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMedia = common.getValueByPath(fromObject, ['media']);\n  if (fromMedia != null) {\n    let transformedList = t.tBlobs(fromMedia);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return blobToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['mediaChunks'], transformedList);\n  }\n\n  const fromAudio = common.getValueByPath(fromObject, ['audio']);\n  if (fromAudio != null) {\n    common.setValueByPath(\n      toObject,\n      ['audio'],\n      blobToMldev(t.tAudioBlob(fromAudio)),\n    );\n  }\n\n  const fromAudioStreamEnd = common.getValueByPath(fromObject, [\n    'audioStreamEnd',\n  ]);\n  if (fromAudioStreamEnd != null) {\n    common.setValueByPath(toObject, ['audioStreamEnd'], fromAudioStreamEnd);\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(\n      toObject,\n      ['video'],\n      blobToMldev(t.tImageBlob(fromVideo)),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromActivityStart = common.getValueByPath(fromObject, [\n    'activityStart',\n  ]);\n  if (fromActivityStart != null) {\n    common.setValueByPath(toObject, ['activityStart'], fromActivityStart);\n  }\n\n  const fromActivityEnd = common.getValueByPath(fromObject, ['activityEnd']);\n  if (fromActivityEnd != null) {\n    common.setValueByPath(toObject, ['activityEnd'], fromActivityEnd);\n  }\n\n  return toObject;\n}\n\nexport function liveSendRealtimeInputParametersToVertex(\n  fromObject: types.LiveSendRealtimeInputParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMedia = common.getValueByPath(fromObject, ['media']);\n  if (fromMedia != null) {\n    let transformedList = t.tBlobs(fromMedia);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mediaChunks'], transformedList);\n  }\n\n  const fromAudio = common.getValueByPath(fromObject, ['audio']);\n  if (fromAudio != null) {\n    common.setValueByPath(toObject, ['audio'], t.tAudioBlob(fromAudio));\n  }\n\n  const fromAudioStreamEnd = common.getValueByPath(fromObject, [\n    'audioStreamEnd',\n  ]);\n  if (fromAudioStreamEnd != null) {\n    common.setValueByPath(toObject, ['audioStreamEnd'], fromAudioStreamEnd);\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(toObject, ['video'], t.tImageBlob(fromVideo));\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromActivityStart = common.getValueByPath(fromObject, [\n    'activityStart',\n  ]);\n  if (fromActivityStart != null) {\n    common.setValueByPath(toObject, ['activityStart'], fromActivityStart);\n  }\n\n  const fromActivityEnd = common.getValueByPath(fromObject, ['activityEnd']);\n  if (fromActivityEnd != null) {\n    common.setValueByPath(toObject, ['activityEnd'], fromActivityEnd);\n  }\n\n  return toObject;\n}\n\nexport function liveServerMessageFromMldev(\n  fromObject: types.LiveServerMessage,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSetupComplete = common.getValueByPath(fromObject, [\n    'setupComplete',\n  ]);\n  if (fromSetupComplete != null) {\n    common.setValueByPath(toObject, ['setupComplete'], fromSetupComplete);\n  }\n\n  const fromServerContent = common.getValueByPath(fromObject, [\n    'serverContent',\n  ]);\n  if (fromServerContent != null) {\n    common.setValueByPath(toObject, ['serverContent'], fromServerContent);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolCallCancellation = common.getValueByPath(fromObject, [\n    'toolCallCancellation',\n  ]);\n  if (fromToolCallCancellation != null) {\n    common.setValueByPath(\n      toObject,\n      ['toolCallCancellation'],\n      fromToolCallCancellation,\n    );\n  }\n\n  const fromUsageMetadata = common.getValueByPath(fromObject, [\n    'usageMetadata',\n  ]);\n  if (fromUsageMetadata != null) {\n    common.setValueByPath(toObject, ['usageMetadata'], fromUsageMetadata);\n  }\n\n  const fromGoAway = common.getValueByPath(fromObject, ['goAway']);\n  if (fromGoAway != null) {\n    common.setValueByPath(toObject, ['goAway'], fromGoAway);\n  }\n\n  const fromSessionResumptionUpdate = common.getValueByPath(fromObject, [\n    'sessionResumptionUpdate',\n  ]);\n  if (fromSessionResumptionUpdate != null) {\n    common.setValueByPath(\n      toObject,\n      ['sessionResumptionUpdate'],\n      fromSessionResumptionUpdate,\n    );\n  }\n\n  const fromVoiceActivityDetectionSignal = common.getValueByPath(fromObject, [\n    'voiceActivityDetectionSignal',\n  ]);\n  if (fromVoiceActivityDetectionSignal != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivityDetectionSignal'],\n      fromVoiceActivityDetectionSignal,\n    );\n  }\n\n  const fromVoiceActivity = common.getValueByPath(fromObject, [\n    'voiceActivity',\n  ]);\n  if (fromVoiceActivity != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivity'],\n      voiceActivityFromMldev(fromVoiceActivity),\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveServerMessageFromVertex(\n  fromObject: types.LiveServerMessage,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSetupComplete = common.getValueByPath(fromObject, [\n    'setupComplete',\n  ]);\n  if (fromSetupComplete != null) {\n    common.setValueByPath(toObject, ['setupComplete'], fromSetupComplete);\n  }\n\n  const fromServerContent = common.getValueByPath(fromObject, [\n    'serverContent',\n  ]);\n  if (fromServerContent != null) {\n    common.setValueByPath(toObject, ['serverContent'], fromServerContent);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolCallCancellation = common.getValueByPath(fromObject, [\n    'toolCallCancellation',\n  ]);\n  if (fromToolCallCancellation != null) {\n    common.setValueByPath(\n      toObject,\n      ['toolCallCancellation'],\n      fromToolCallCancellation,\n    );\n  }\n\n  const fromUsageMetadata = common.getValueByPath(fromObject, [\n    'usageMetadata',\n  ]);\n  if (fromUsageMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['usageMetadata'],\n      usageMetadataFromVertex(fromUsageMetadata),\n    );\n  }\n\n  const fromGoAway = common.getValueByPath(fromObject, ['goAway']);\n  if (fromGoAway != null) {\n    common.setValueByPath(toObject, ['goAway'], fromGoAway);\n  }\n\n  const fromSessionResumptionUpdate = common.getValueByPath(fromObject, [\n    'sessionResumptionUpdate',\n  ]);\n  if (fromSessionResumptionUpdate != null) {\n    common.setValueByPath(\n      toObject,\n      ['sessionResumptionUpdate'],\n      fromSessionResumptionUpdate,\n    );\n  }\n\n  const fromVoiceActivityDetectionSignal = common.getValueByPath(fromObject, [\n    'voiceActivityDetectionSignal',\n  ]);\n  if (fromVoiceActivityDetectionSignal != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivityDetectionSignal'],\n      fromVoiceActivityDetectionSignal,\n    );\n  }\n\n  const fromVoiceActivity = common.getValueByPath(fromObject, [\n    'voiceActivity',\n  ]);\n  if (fromVoiceActivity != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivity'],\n      voiceActivityFromVertex(fromVoiceActivity),\n    );\n  }\n\n  return toObject;\n}\n\nexport function mcpServerToVertex(\n  fromObject: types.McpServer,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['name']) !== undefined) {\n    throw new Error(\n      'name parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamableHttpTransport']) !== undefined\n  ) {\n    throw new Error(\n      'streamableHttpTransport parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function multiSpeakerVoiceConfigToVertex(\n  fromObject: types.MultiSpeakerVoiceConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSpeakerVoiceConfigs = common.getValueByPath(fromObject, [\n    'speakerVoiceConfigs',\n  ]);\n  if (fromSpeakerVoiceConfigs != null) {\n    let transformedList = fromSpeakerVoiceConfigs;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return speakerVoiceConfigToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['speakerVoiceConfigs'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function partToMldev(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      fromCodeExecutionResult,\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(toObject, ['executableCode'], fromExecutableCode);\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(\n      toObject,\n      ['fileData'],\n      fileDataToMldev(fromFileData),\n    );\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCall'],\n      functionCallToMldev(fromFunctionCall),\n    );\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(\n      toObject,\n      ['inlineData'],\n      blobToMldev(fromInlineData),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  const fromPartMetadata = common.getValueByPath(fromObject, ['partMetadata']);\n  if (fromPartMetadata != null) {\n    common.setValueByPath(toObject, ['partMetadata'], fromPartMetadata);\n  }\n\n  return toObject;\n}\n\nexport function partToVertex(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      codeExecutionResultToVertex(fromCodeExecutionResult),\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(\n      toObject,\n      ['executableCode'],\n      executableCodeToVertex(fromExecutableCode),\n    );\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(toObject, ['fileData'], fromFileData);\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(toObject, ['functionCall'], fromFunctionCall);\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(toObject, ['inlineData'], fromInlineData);\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  if (common.getValueByPath(fromObject, ['toolCall']) !== undefined) {\n    throw new Error(\n      'toolCall parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['toolResponse']) !== undefined) {\n    throw new Error(\n      'toolResponse parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['partMetadata']) !== undefined) {\n    throw new Error(\n      'partMetadata parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function replicatedVoiceConfigToVertex(\n  fromObject: types.ReplicatedVoiceConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  const fromVoiceSampleAudio = common.getValueByPath(fromObject, [\n    'voiceSampleAudio',\n  ]);\n  if (fromVoiceSampleAudio != null) {\n    common.setValueByPath(toObject, ['voiceSampleAudio'], fromVoiceSampleAudio);\n  }\n\n  if (common.getValueByPath(fromObject, ['consentAudio']) !== undefined) {\n    throw new Error(\n      'consentAudio parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['voiceConsentSignature']) !== undefined\n  ) {\n    throw new Error(\n      'voiceConsentSignature parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function safetySettingToMldev(\n  fromObject: types.SafetySetting,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategory = common.getValueByPath(fromObject, ['category']);\n  if (fromCategory != null) {\n    common.setValueByPath(toObject, ['category'], fromCategory);\n  }\n\n  if (common.getValueByPath(fromObject, ['method']) !== undefined) {\n    throw new Error(\n      'method parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThreshold = common.getValueByPath(fromObject, ['threshold']);\n  if (fromThreshold != null) {\n    common.setValueByPath(toObject, ['threshold'], fromThreshold);\n  }\n\n  return toObject;\n}\n\nexport function sessionResumptionConfigToMldev(\n  fromObject: types.SessionResumptionConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromHandle = common.getValueByPath(fromObject, ['handle']);\n  if (fromHandle != null) {\n    common.setValueByPath(toObject, ['handle'], fromHandle);\n  }\n\n  if (common.getValueByPath(fromObject, ['transparent']) !== undefined) {\n    throw new Error(\n      'transparent parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function speakerVoiceConfigToVertex(\n  fromObject: types.SpeakerVoiceConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSpeaker = common.getValueByPath(fromObject, ['speaker']);\n  if (fromSpeaker != null) {\n    common.setValueByPath(toObject, ['speaker'], fromSpeaker);\n  }\n\n  const fromVoiceConfig = common.getValueByPath(fromObject, ['voiceConfig']);\n  if (fromVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceConfig'],\n      voiceConfigToVertex(fromVoiceConfig),\n    );\n  }\n\n  return toObject;\n}\n\nexport function speechConfigToVertex(\n  fromObject: types.SpeechConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVoiceConfig = common.getValueByPath(fromObject, ['voiceConfig']);\n  if (fromVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceConfig'],\n      voiceConfigToVertex(fromVoiceConfig),\n    );\n  }\n\n  const fromLanguageCode = common.getValueByPath(fromObject, ['languageCode']);\n  if (fromLanguageCode != null) {\n    common.setValueByPath(toObject, ['languageCode'], fromLanguageCode);\n  }\n\n  const fromMultiSpeakerVoiceConfig = common.getValueByPath(fromObject, [\n    'multiSpeakerVoiceConfig',\n  ]);\n  if (fromMultiSpeakerVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['multiSpeakerVoiceConfig'],\n      multiSpeakerVoiceConfigToVertex(fromMultiSpeakerVoiceConfig),\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToMldev(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['retrieval']) !== undefined) {\n    throw new Error(\n      'retrieval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(toObject, ['computerUse'], fromComputerUse);\n  }\n\n  const fromFileSearch = common.getValueByPath(fromObject, ['fileSearch']);\n  if (fromFileSearch != null) {\n    common.setValueByPath(toObject, ['fileSearch'], fromFileSearch);\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearch'],\n      googleSearchToMldev(fromGoogleSearch),\n    );\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleMaps'],\n      googleMapsToMldev(fromGoogleMaps),\n    );\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enterpriseWebSearch']) !== undefined\n  ) {\n    throw new Error(\n      'enterpriseWebSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['parallelAiSearch']) !== undefined) {\n    throw new Error(\n      'parallelAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['exaAiSearch']) !== undefined) {\n    throw new Error(\n      'exaAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToVertex(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrieval = common.getValueByPath(fromObject, ['retrieval']);\n  if (fromRetrieval != null) {\n    common.setValueByPath(toObject, ['retrieval'], fromRetrieval);\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(\n      toObject,\n      ['computerUse'],\n      computerUseToVertex(fromComputerUse),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fileSearch']) !== undefined) {\n    throw new Error(\n      'fileSearch parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(toObject, ['googleSearch'], fromGoogleSearch);\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(toObject, ['googleMaps'], fromGoogleMaps);\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  const fromEnterpriseWebSearch = common.getValueByPath(fromObject, [\n    'enterpriseWebSearch',\n  ]);\n  if (fromEnterpriseWebSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['enterpriseWebSearch'],\n      fromEnterpriseWebSearch,\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  const fromParallelAiSearch = common.getValueByPath(fromObject, [\n    'parallelAiSearch',\n  ]);\n  if (fromParallelAiSearch != null) {\n    common.setValueByPath(toObject, ['parallelAiSearch'], fromParallelAiSearch);\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return mcpServerToVertex(item);\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  const fromExaAiSearch = common.getValueByPath(fromObject, ['exaAiSearch']);\n  if (fromExaAiSearch != null) {\n    common.setValueByPath(toObject, ['exaAiSearch'], fromExaAiSearch);\n  }\n\n  return toObject;\n}\n\nexport function usageMetadataFromVertex(\n  fromObject: types.UsageMetadata,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPromptTokenCount = common.getValueByPath(fromObject, [\n    'promptTokenCount',\n  ]);\n  if (fromPromptTokenCount != null) {\n    common.setValueByPath(toObject, ['promptTokenCount'], fromPromptTokenCount);\n  }\n\n  const fromCachedContentTokenCount = common.getValueByPath(fromObject, [\n    'cachedContentTokenCount',\n  ]);\n  if (fromCachedContentTokenCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['cachedContentTokenCount'],\n      fromCachedContentTokenCount,\n    );\n  }\n\n  const fromResponseTokenCount = common.getValueByPath(fromObject, [\n    'candidatesTokenCount',\n  ]);\n  if (fromResponseTokenCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseTokenCount'],\n      fromResponseTokenCount,\n    );\n  }\n\n  const fromToolUsePromptTokenCount = common.getValueByPath(fromObject, [\n    'toolUsePromptTokenCount',\n  ]);\n  if (fromToolUsePromptTokenCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['toolUsePromptTokenCount'],\n      fromToolUsePromptTokenCount,\n    );\n  }\n\n  const fromThoughtsTokenCount = common.getValueByPath(fromObject, [\n    'thoughtsTokenCount',\n  ]);\n  if (fromThoughtsTokenCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['thoughtsTokenCount'],\n      fromThoughtsTokenCount,\n    );\n  }\n\n  const fromTotalTokenCount = common.getValueByPath(fromObject, [\n    'totalTokenCount',\n  ]);\n  if (fromTotalTokenCount != null) {\n    common.setValueByPath(toObject, ['totalTokenCount'], fromTotalTokenCount);\n  }\n\n  const fromPromptTokensDetails = common.getValueByPath(fromObject, [\n    'promptTokensDetails',\n  ]);\n  if (fromPromptTokensDetails != null) {\n    let transformedList = fromPromptTokensDetails;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['promptTokensDetails'], transformedList);\n  }\n\n  const fromCacheTokensDetails = common.getValueByPath(fromObject, [\n    'cacheTokensDetails',\n  ]);\n  if (fromCacheTokensDetails != null) {\n    let transformedList = fromCacheTokensDetails;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['cacheTokensDetails'], transformedList);\n  }\n\n  const fromResponseTokensDetails = common.getValueByPath(fromObject, [\n    'candidatesTokensDetails',\n  ]);\n  if (fromResponseTokensDetails != null) {\n    let transformedList = fromResponseTokensDetails;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['responseTokensDetails'], transformedList);\n  }\n\n  const fromToolUsePromptTokensDetails = common.getValueByPath(fromObject, [\n    'toolUsePromptTokensDetails',\n  ]);\n  if (fromToolUsePromptTokensDetails != null) {\n    let transformedList = fromToolUsePromptTokensDetails;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(\n      toObject,\n      ['toolUsePromptTokensDetails'],\n      transformedList,\n    );\n  }\n\n  const fromTrafficType = common.getValueByPath(fromObject, ['trafficType']);\n  if (fromTrafficType != null) {\n    common.setValueByPath(toObject, ['trafficType'], fromTrafficType);\n  }\n\n  return toObject;\n}\n\nexport function voiceActivityFromMldev(\n  fromObject: types.VoiceActivity,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVoiceActivityType = common.getValueByPath(fromObject, ['type']);\n  if (fromVoiceActivityType != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivityType'],\n      fromVoiceActivityType,\n    );\n  }\n\n  const fromAudioOffset = common.getValueByPath(fromObject, ['audioOffset']);\n  if (fromAudioOffset != null) {\n    common.setValueByPath(toObject, ['audioOffset'], fromAudioOffset);\n  }\n\n  return toObject;\n}\n\nexport function voiceActivityFromVertex(\n  fromObject: types.VoiceActivity,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVoiceActivityType = common.getValueByPath(fromObject, ['type']);\n  if (fromVoiceActivityType != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceActivityType'],\n      fromVoiceActivityType,\n    );\n  }\n\n  const fromAudioOffset = common.getValueByPath(fromObject, ['audioOffset']);\n  if (fromAudioOffset != null) {\n    common.setValueByPath(toObject, ['audioOffset'], fromAudioOffset);\n  }\n\n  return toObject;\n}\n\nexport function voiceConfigToVertex(\n  fromObject: types.VoiceConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromReplicatedVoiceConfig = common.getValueByPath(fromObject, [\n    'replicatedVoiceConfig',\n  ]);\n  if (fromReplicatedVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['replicatedVoiceConfig'],\n      replicatedVoiceConfigToVertex(fromReplicatedVoiceConfig),\n    );\n  }\n\n  const fromPrebuiltVoiceConfig = common.getValueByPath(fromObject, [\n    'prebuiltVoiceConfig',\n  ]);\n  if (fromPrebuiltVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['prebuiltVoiceConfig'],\n      fromPrebuiltVoiceConfig,\n    );\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport type * as _internal_types from '../_internal_types.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function authConfigToMldev(\n  fromObject: types.AuthConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromApiKey = common.getValueByPath(fromObject, ['apiKey']);\n  if (fromApiKey != null) {\n    common.setValueByPath(toObject, ['apiKey'], fromApiKey);\n  }\n\n  if (common.getValueByPath(fromObject, ['apiKeyConfig']) !== undefined) {\n    throw new Error(\n      'apiKeyConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['authType']) !== undefined) {\n    throw new Error(\n      'authType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['googleServiceAccountConfig']) !==\n    undefined\n  ) {\n    throw new Error(\n      'googleServiceAccountConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['httpBasicAuthConfig']) !== undefined\n  ) {\n    throw new Error(\n      'httpBasicAuthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oauthConfig']) !== undefined) {\n    throw new Error(\n      'oauthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oidcConfig']) !== undefined) {\n    throw new Error(\n      'oidcConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function blobToMldev(\n  fromObject: types.Blob,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromData = common.getValueByPath(fromObject, ['data']);\n  if (fromData != null) {\n    common.setValueByPath(toObject, ['data'], fromData);\n  }\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function candidateFromMldev(\n  fromObject: types.Candidate,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromContent = common.getValueByPath(fromObject, ['content']);\n  if (fromContent != null) {\n    common.setValueByPath(toObject, ['content'], fromContent);\n  }\n\n  const fromCitationMetadata = common.getValueByPath(fromObject, [\n    'citationMetadata',\n  ]);\n  if (fromCitationMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['citationMetadata'],\n      citationMetadataFromMldev(fromCitationMetadata, rootObject),\n    );\n  }\n\n  const fromTokenCount = common.getValueByPath(fromObject, ['tokenCount']);\n  if (fromTokenCount != null) {\n    common.setValueByPath(toObject, ['tokenCount'], fromTokenCount);\n  }\n\n  const fromFinishReason = common.getValueByPath(fromObject, ['finishReason']);\n  if (fromFinishReason != null) {\n    common.setValueByPath(toObject, ['finishReason'], fromFinishReason);\n  }\n\n  const fromGroundingMetadata = common.getValueByPath(fromObject, [\n    'groundingMetadata',\n  ]);\n  if (fromGroundingMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['groundingMetadata'],\n      fromGroundingMetadata,\n    );\n  }\n\n  const fromAvgLogprobs = common.getValueByPath(fromObject, ['avgLogprobs']);\n  if (fromAvgLogprobs != null) {\n    common.setValueByPath(toObject, ['avgLogprobs'], fromAvgLogprobs);\n  }\n\n  const fromIndex = common.getValueByPath(fromObject, ['index']);\n  if (fromIndex != null) {\n    common.setValueByPath(toObject, ['index'], fromIndex);\n  }\n\n  const fromLogprobsResult = common.getValueByPath(fromObject, [\n    'logprobsResult',\n  ]);\n  if (fromLogprobsResult != null) {\n    common.setValueByPath(toObject, ['logprobsResult'], fromLogprobsResult);\n  }\n\n  const fromSafetyRatings = common.getValueByPath(fromObject, [\n    'safetyRatings',\n  ]);\n  if (fromSafetyRatings != null) {\n    let transformedList = fromSafetyRatings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['safetyRatings'], transformedList);\n  }\n\n  const fromUrlContextMetadata = common.getValueByPath(fromObject, [\n    'urlContextMetadata',\n  ]);\n  if (fromUrlContextMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['urlContextMetadata'],\n      fromUrlContextMetadata,\n    );\n  }\n\n  return toObject;\n}\n\nexport function citationMetadataFromMldev(\n  fromObject: types.CitationMetadata,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCitations = common.getValueByPath(fromObject, ['citationSources']);\n  if (fromCitations != null) {\n    let transformedList = fromCitations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['citations'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function codeExecutionResultToVertex(\n  fromObject: types.CodeExecutionResult,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutcome = common.getValueByPath(fromObject, ['outcome']);\n  if (fromOutcome != null) {\n    common.setValueByPath(toObject, ['outcome'], fromOutcome);\n  }\n\n  const fromOutput = common.getValueByPath(fromObject, ['output']);\n  if (fromOutput != null) {\n    common.setValueByPath(toObject, ['output'], fromOutput);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function computeTokensParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.ComputeTokensParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function computeTokensResponseFromVertex(\n  fromObject: types.ComputeTokensResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromTokensInfo = common.getValueByPath(fromObject, ['tokensInfo']);\n  if (fromTokensInfo != null) {\n    let transformedList = fromTokensInfo;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['tokensInfo'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function computerUseToVertex(\n  fromObject: types.ComputerUse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromEnvironment = common.getValueByPath(fromObject, ['environment']);\n  if (fromEnvironment != null) {\n    common.setValueByPath(toObject, ['environment'], fromEnvironment);\n  }\n\n  const fromExcludedPredefinedFunctions = common.getValueByPath(fromObject, [\n    'excludedPredefinedFunctions',\n  ]);\n  if (fromExcludedPredefinedFunctions != null) {\n    common.setValueByPath(\n      toObject,\n      ['excludedPredefinedFunctions'],\n      fromExcludedPredefinedFunctions,\n    );\n  }\n\n  const fromEnablePromptInjectionDetection = common.getValueByPath(fromObject, [\n    'enablePromptInjectionDetection',\n  ]);\n  if (fromEnablePromptInjectionDetection != null) {\n    common.setValueByPath(\n      toObject,\n      ['enablePromptInjectionDetection'],\n      fromEnablePromptInjectionDetection,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['disabledSafetyPolicies']) !== undefined\n  ) {\n    throw new Error(\n      'disabledSafetyPolicies parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function contentEmbeddingFromVertex(\n  fromObject: types.ContentEmbedding,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromValues = common.getValueByPath(fromObject, ['values']);\n  if (fromValues != null) {\n    common.setValueByPath(toObject, ['values'], fromValues);\n  }\n\n  const fromStatistics = common.getValueByPath(fromObject, ['statistics']);\n  if (fromStatistics != null) {\n    common.setValueByPath(\n      toObject,\n      ['statistics'],\n      contentEmbeddingStatisticsFromVertex(fromStatistics, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function contentEmbeddingStatisticsFromVertex(\n  fromObject: types.ContentEmbeddingStatistics,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTruncated = common.getValueByPath(fromObject, ['truncated']);\n  if (fromTruncated != null) {\n    common.setValueByPath(toObject, ['truncated'], fromTruncated);\n  }\n\n  const fromTokenCount = common.getValueByPath(fromObject, ['token_count']);\n  if (fromTokenCount != null) {\n    common.setValueByPath(toObject, ['tokenCount'], fromTokenCount);\n  }\n\n  return toObject;\n}\n\nexport function contentToMldev(\n  fromObject: types.Content,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function contentToVertex(\n  fromObject: types.Content,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function controlReferenceConfigToVertex(\n  fromObject: types.ControlReferenceConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromControlType = common.getValueByPath(fromObject, ['controlType']);\n  if (fromControlType != null) {\n    common.setValueByPath(toObject, ['controlType'], fromControlType);\n  }\n\n  const fromEnableControlImageComputation = common.getValueByPath(fromObject, [\n    'enableControlImageComputation',\n  ]);\n  if (fromEnableControlImageComputation != null) {\n    common.setValueByPath(\n      toObject,\n      ['computeControl'],\n      fromEnableControlImageComputation,\n    );\n  }\n\n  return toObject;\n}\n\nexport function countTokensConfigToMldev(\n  fromObject: types.CountTokensConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['systemInstruction']) !== undefined) {\n    throw new Error(\n      'systemInstruction parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['tools']) !== undefined) {\n    throw new Error(\n      'tools parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['generationConfig']) !== undefined) {\n    throw new Error(\n      'generationConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function countTokensConfigToVertex(\n  fromObject: types.CountTokensConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToVertex(t.tContent(fromSystemInstruction), rootObject),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = fromTools;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (parentObject !== undefined && fromGenerationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['generationConfig'],\n      generationConfigToVertex(fromGenerationConfig, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function countTokensParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CountTokensParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    countTokensConfigToMldev(fromConfig, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function countTokensParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.CountTokensParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    countTokensConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function countTokensResponseFromMldev(\n  fromObject: types.CountTokensResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromTotalTokens = common.getValueByPath(fromObject, ['totalTokens']);\n  if (fromTotalTokens != null) {\n    common.setValueByPath(toObject, ['totalTokens'], fromTotalTokens);\n  }\n\n  const fromCachedContentTokenCount = common.getValueByPath(fromObject, [\n    'cachedContentTokenCount',\n  ]);\n  if (fromCachedContentTokenCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['cachedContentTokenCount'],\n      fromCachedContentTokenCount,\n    );\n  }\n\n  return toObject;\n}\n\nexport function countTokensResponseFromVertex(\n  fromObject: types.CountTokensResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromTotalTokens = common.getValueByPath(fromObject, ['totalTokens']);\n  if (fromTotalTokens != null) {\n    common.setValueByPath(toObject, ['totalTokens'], fromTotalTokens);\n  }\n\n  return toObject;\n}\n\nexport function deleteModelParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.DeleteModelParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteModelParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.DeleteModelParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  return toObject;\n}\n\nexport function deleteModelResponseFromMldev(\n  fromObject: types.DeleteModelResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function deleteModelResponseFromVertex(\n  fromObject: types.DeleteModelResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function editImageConfigToVertex(\n  fromObject: types.EditImageConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutputGcsUri = common.getValueByPath(fromObject, ['outputGcsUri']);\n  if (parentObject !== undefined && fromOutputGcsUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'storageUri'],\n      fromOutputGcsUri,\n    );\n  }\n\n  const fromNegativePrompt = common.getValueByPath(fromObject, [\n    'negativePrompt',\n  ]);\n  if (parentObject !== undefined && fromNegativePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'negativePrompt'],\n      fromNegativePrompt,\n    );\n  }\n\n  const fromNumberOfImages = common.getValueByPath(fromObject, [\n    'numberOfImages',\n  ]);\n  if (parentObject !== undefined && fromNumberOfImages != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfImages,\n    );\n  }\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (parentObject !== undefined && fromAspectRatio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'aspectRatio'],\n      fromAspectRatio,\n    );\n  }\n\n  const fromGuidanceScale = common.getValueByPath(fromObject, [\n    'guidanceScale',\n  ]);\n  if (parentObject !== undefined && fromGuidanceScale != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'guidanceScale'],\n      fromGuidanceScale,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(parentObject, ['parameters', 'seed'], fromSeed);\n  }\n\n  const fromSafetyFilterLevel = common.getValueByPath(fromObject, [\n    'safetyFilterLevel',\n  ]);\n  if (parentObject !== undefined && fromSafetyFilterLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'safetySetting'],\n      fromSafetyFilterLevel,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromIncludeSafetyAttributes = common.getValueByPath(fromObject, [\n    'includeSafetyAttributes',\n  ]);\n  if (parentObject !== undefined && fromIncludeSafetyAttributes != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeSafetyAttributes'],\n      fromIncludeSafetyAttributes,\n    );\n  }\n\n  const fromIncludeRaiReason = common.getValueByPath(fromObject, [\n    'includeRaiReason',\n  ]);\n  if (parentObject !== undefined && fromIncludeRaiReason != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeRaiReason'],\n      fromIncludeRaiReason,\n    );\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (parentObject !== undefined && fromLanguage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'language'],\n      fromLanguage,\n    );\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (parentObject !== undefined && fromOutputMimeType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (parentObject !== undefined && fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  const fromAddWatermark = common.getValueByPath(fromObject, ['addWatermark']);\n  if (parentObject !== undefined && fromAddWatermark != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'addWatermark'],\n      fromAddWatermark,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  const fromEditMode = common.getValueByPath(fromObject, ['editMode']);\n  if (parentObject !== undefined && fromEditMode != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'editMode'],\n      fromEditMode,\n    );\n  }\n\n  const fromBaseSteps = common.getValueByPath(fromObject, ['baseSteps']);\n  if (parentObject !== undefined && fromBaseSteps != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'editConfig', 'baseSteps'],\n      fromBaseSteps,\n    );\n  }\n\n  return toObject;\n}\n\nexport function editImageParametersInternalToVertex(\n  apiClient: ApiClient,\n  fromObject: _internal_types.EditImageParametersInternal,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromPrompt != null) {\n    common.setValueByPath(toObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromReferenceImages = common.getValueByPath(fromObject, [\n    'referenceImages',\n  ]);\n  if (fromReferenceImages != null) {\n    let transformedList = fromReferenceImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return referenceImageAPIInternalToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'referenceImages'],\n      transformedList,\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    editImageConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function editImageResponseFromVertex(\n  fromObject: types.EditImageResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromGeneratedImages = common.getValueByPath(fromObject, [\n    'predictions',\n  ]);\n  if (fromGeneratedImages != null) {\n    let transformedList = fromGeneratedImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedImages'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function embedContentConfigToMldev(\n  fromObject: types.EmbedContentConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromTaskType = common.getValueByPath(fromObject, ['taskType']);\n  if (parentObject !== undefined && fromTaskType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['requests[]', 'taskType'],\n      fromTaskType,\n    );\n  }\n\n  const fromTitle = common.getValueByPath(fromObject, ['title']);\n  if (parentObject !== undefined && fromTitle != null) {\n    common.setValueByPath(parentObject, ['requests[]', 'title'], fromTitle);\n  }\n\n  const fromOutputDimensionality = common.getValueByPath(fromObject, [\n    'outputDimensionality',\n  ]);\n  if (parentObject !== undefined && fromOutputDimensionality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['requests[]', 'outputDimensionality'],\n      fromOutputDimensionality,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['mimeType']) !== undefined) {\n    throw new Error(\n      'mimeType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['autoTruncate']) !== undefined) {\n    throw new Error(\n      'autoTruncate parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['documentOcr']) !== undefined) {\n    throw new Error(\n      'documentOcr parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['audioTrackExtraction']) !== undefined\n  ) {\n    throw new Error(\n      'audioTrackExtraction parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function embedContentConfigToVertex(\n  fromObject: types.EmbedContentConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  let discriminatorTaskType = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorTaskType === undefined) {\n    discriminatorTaskType = 'PREDICT';\n  }\n  if (discriminatorTaskType === 'PREDICT') {\n    const fromTaskType = common.getValueByPath(fromObject, ['taskType']);\n    if (parentObject !== undefined && fromTaskType != null) {\n      common.setValueByPath(\n        parentObject,\n        ['instances[]', 'task_type'],\n        fromTaskType,\n      );\n    }\n  } else if (discriminatorTaskType === 'EMBED_CONTENT') {\n    const fromTaskType = common.getValueByPath(fromObject, ['taskType']);\n    if (parentObject !== undefined && fromTaskType != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'taskType'],\n        fromTaskType,\n      );\n    }\n  }\n\n  let discriminatorTitle = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorTitle === undefined) {\n    discriminatorTitle = 'PREDICT';\n  }\n  if (discriminatorTitle === 'PREDICT') {\n    const fromTitle = common.getValueByPath(fromObject, ['title']);\n    if (parentObject !== undefined && fromTitle != null) {\n      common.setValueByPath(parentObject, ['instances[]', 'title'], fromTitle);\n    }\n  } else if (discriminatorTitle === 'EMBED_CONTENT') {\n    const fromTitle = common.getValueByPath(fromObject, ['title']);\n    if (parentObject !== undefined && fromTitle != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'title'],\n        fromTitle,\n      );\n    }\n  }\n\n  let discriminatorOutputDimensionality = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorOutputDimensionality === undefined) {\n    discriminatorOutputDimensionality = 'PREDICT';\n  }\n  if (discriminatorOutputDimensionality === 'PREDICT') {\n    const fromOutputDimensionality = common.getValueByPath(fromObject, [\n      'outputDimensionality',\n    ]);\n    if (parentObject !== undefined && fromOutputDimensionality != null) {\n      common.setValueByPath(\n        parentObject,\n        ['parameters', 'outputDimensionality'],\n        fromOutputDimensionality,\n      );\n    }\n  } else if (discriminatorOutputDimensionality === 'EMBED_CONTENT') {\n    const fromOutputDimensionality = common.getValueByPath(fromObject, [\n      'outputDimensionality',\n    ]);\n    if (parentObject !== undefined && fromOutputDimensionality != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'outputDimensionality'],\n        fromOutputDimensionality,\n      );\n    }\n  }\n\n  let discriminatorMimeType = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorMimeType === undefined) {\n    discriminatorMimeType = 'PREDICT';\n  }\n  if (discriminatorMimeType === 'PREDICT') {\n    const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n    if (parentObject !== undefined && fromMimeType != null) {\n      common.setValueByPath(\n        parentObject,\n        ['instances[]', 'mimeType'],\n        fromMimeType,\n      );\n    }\n  }\n\n  let discriminatorAutoTruncate = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorAutoTruncate === undefined) {\n    discriminatorAutoTruncate = 'PREDICT';\n  }\n  if (discriminatorAutoTruncate === 'PREDICT') {\n    const fromAutoTruncate = common.getValueByPath(fromObject, [\n      'autoTruncate',\n    ]);\n    if (parentObject !== undefined && fromAutoTruncate != null) {\n      common.setValueByPath(\n        parentObject,\n        ['parameters', 'autoTruncate'],\n        fromAutoTruncate,\n      );\n    }\n  } else if (discriminatorAutoTruncate === 'EMBED_CONTENT') {\n    const fromAutoTruncate = common.getValueByPath(fromObject, [\n      'autoTruncate',\n    ]);\n    if (parentObject !== undefined && fromAutoTruncate != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'autoTruncate'],\n        fromAutoTruncate,\n      );\n    }\n  }\n\n  let discriminatorDocumentOcr = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorDocumentOcr === undefined) {\n    discriminatorDocumentOcr = 'PREDICT';\n  }\n  if (discriminatorDocumentOcr === 'EMBED_CONTENT') {\n    const fromDocumentOcr = common.getValueByPath(fromObject, ['documentOcr']);\n    if (parentObject !== undefined && fromDocumentOcr != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'documentOcr'],\n        fromDocumentOcr,\n      );\n    }\n  }\n\n  let discriminatorAudioTrackExtraction = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorAudioTrackExtraction === undefined) {\n    discriminatorAudioTrackExtraction = 'PREDICT';\n  }\n  if (discriminatorAudioTrackExtraction === 'EMBED_CONTENT') {\n    const fromAudioTrackExtraction = common.getValueByPath(fromObject, [\n      'audioTrackExtraction',\n    ]);\n    if (parentObject !== undefined && fromAudioTrackExtraction != null) {\n      common.setValueByPath(\n        parentObject,\n        ['embedContentConfig', 'audioTrackExtraction'],\n        fromAudioTrackExtraction,\n      );\n    }\n  }\n\n  return toObject;\n}\n\nexport function embedContentParametersPrivateToMldev(\n  apiClient: ApiClient,\n  fromObject: types.EmbedContentParametersPrivate,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContentsForEmbed(apiClient, fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['requests[]', 'content'], transformedList);\n  }\n\n  const fromContent = common.getValueByPath(fromObject, ['content']);\n  if (fromContent != null) {\n    contentToMldev(t.tContent(fromContent), rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    embedContentConfigToMldev(fromConfig, toObject, rootObject);\n  }\n\n  const fromModelForEmbedContent = common.getValueByPath(fromObject, ['model']);\n  if (fromModelForEmbedContent !== undefined) {\n    common.setValueByPath(\n      toObject,\n      ['requests[]', 'model'],\n      t.tModel(apiClient, fromModelForEmbedContent),\n    );\n  }\n\n  return toObject;\n}\n\nexport function embedContentParametersPrivateToVertex(\n  apiClient: ApiClient,\n  fromObject: types.EmbedContentParametersPrivate,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  let discriminatorContents = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorContents === undefined) {\n    discriminatorContents = 'PREDICT';\n  }\n  if (discriminatorContents === 'PREDICT') {\n    const fromContents = common.getValueByPath(fromObject, ['contents']);\n    if (fromContents != null) {\n      let transformedList = t.tContentsForEmbed(apiClient, fromContents);\n      if (Array.isArray(transformedList)) {\n        transformedList = transformedList.map((item) => {\n          return item;\n        });\n      }\n      common.setValueByPath(\n        toObject,\n        ['instances[]', 'content'],\n        transformedList,\n      );\n    }\n  }\n\n  let discriminatorContent = common.getValueByPath(rootObject, [\n    'embeddingApiType',\n  ]);\n  if (discriminatorContent === undefined) {\n    discriminatorContent = 'PREDICT';\n  }\n  if (discriminatorContent === 'EMBED_CONTENT') {\n    const fromContent = common.getValueByPath(fromObject, ['content']);\n    if (fromContent != null) {\n      common.setValueByPath(\n        toObject,\n        ['content'],\n        contentToVertex(t.tContent(fromContent), rootObject),\n      );\n    }\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    embedContentConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function embedContentResponseFromMldev(\n  fromObject: types.EmbedContentResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromEmbeddings = common.getValueByPath(fromObject, ['embeddings']);\n  if (fromEmbeddings != null) {\n    let transformedList = fromEmbeddings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['embeddings'], transformedList);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  return toObject;\n}\n\nexport function embedContentResponseFromVertex(\n  fromObject: types.EmbedContentResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromEmbeddings = common.getValueByPath(fromObject, [\n    'predictions[]',\n    'embeddings',\n  ]);\n  if (fromEmbeddings != null) {\n    let transformedList = fromEmbeddings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentEmbeddingFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['embeddings'], transformedList);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  if (\n    rootObject &&\n    common.getValueByPath(rootObject, ['embeddingApiType']) === 'EMBED_CONTENT'\n  ) {\n    const embedding = common.getValueByPath(fromObject, ['embedding']);\n    const usageMetadata = common.getValueByPath(fromObject, ['usageMetadata']);\n    const truncated = common.getValueByPath(fromObject, ['truncated']);\n    if (embedding) {\n      const stats = {} as types.ContentEmbeddingStatistics;\n      if (\n        usageMetadata &&\n        (usageMetadata as Record<string, unknown>)['promptTokenCount']\n      ) {\n        stats.tokenCount = (usageMetadata as Record<string, unknown>)[\n          'promptTokenCount'\n        ] as number;\n      }\n      if (truncated) {\n        stats.truncated = truncated as boolean;\n      }\n      (embedding as types.ContentEmbedding).statistics = stats;\n      common.setValueByPath(toObject, ['embeddings'], [embedding]);\n    }\n  }\n\n  return toObject;\n}\n\nexport function endpointFromVertex(\n  fromObject: types.Endpoint,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['endpoint']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDeployedModelId = common.getValueByPath(fromObject, [\n    'deployedModelId',\n  ]);\n  if (fromDeployedModelId != null) {\n    common.setValueByPath(toObject, ['deployedModelId'], fromDeployedModelId);\n  }\n\n  return toObject;\n}\n\nexport function executableCodeToVertex(\n  fromObject: types.ExecutableCode,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCode = common.getValueByPath(fromObject, ['code']);\n  if (fromCode != null) {\n    common.setValueByPath(toObject, ['code'], fromCode);\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (fromLanguage != null) {\n    common.setValueByPath(toObject, ['language'], fromLanguage);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function fileDataToMldev(\n  fromObject: types.FileData,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileUri = common.getValueByPath(fromObject, ['fileUri']);\n  if (fromFileUri != null) {\n    common.setValueByPath(toObject, ['fileUri'], fromFileUri);\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function functionCallToMldev(\n  fromObject: types.FunctionCall,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromId = common.getValueByPath(fromObject, ['id']);\n  if (fromId != null) {\n    common.setValueByPath(toObject, ['id'], fromId);\n  }\n\n  const fromArgs = common.getValueByPath(fromObject, ['args']);\n  if (fromArgs != null) {\n    common.setValueByPath(toObject, ['args'], fromArgs);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  if (common.getValueByPath(fromObject, ['partialArgs']) !== undefined) {\n    throw new Error(\n      'partialArgs parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['willContinue']) !== undefined) {\n    throw new Error(\n      'willContinue parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function functionCallingConfigToMldev(\n  fromObject: types.FunctionCallingConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAllowedFunctionNames = common.getValueByPath(fromObject, [\n    'allowedFunctionNames',\n  ]);\n  if (fromAllowedFunctionNames != null) {\n    common.setValueByPath(\n      toObject,\n      ['allowedFunctionNames'],\n      fromAllowedFunctionNames,\n    );\n  }\n\n  const fromMode = common.getValueByPath(fromObject, ['mode']);\n  if (fromMode != null) {\n    common.setValueByPath(toObject, ['mode'], fromMode);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamFunctionCallArguments']) !==\n    undefined\n  ) {\n    throw new Error(\n      'streamFunctionCallArguments parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateContentConfigToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GenerateContentConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction), rootObject),\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseSchema'],\n      t.tSchema(fromResponseSchema),\n    );\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['routingConfig']) !== undefined) {\n    throw new Error(\n      'routingConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['modelSelectionConfig']) !== undefined\n  ) {\n    throw new Error(\n      'modelSelectionConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return safetySettingToMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(parentObject, ['safetySettings'], transformedList);\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(t.tTool(item), rootObject);\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromToolConfig = common.getValueByPath(fromObject, ['toolConfig']);\n  if (parentObject !== undefined && fromToolConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['toolConfig'],\n      toolConfigToMldev(fromToolConfig, rootObject),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['labels']) !== undefined) {\n    throw new Error(\n      'labels parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromCachedContent = common.getValueByPath(fromObject, [\n    'cachedContent',\n  ]);\n  if (parentObject !== undefined && fromCachedContent != null) {\n    common.setValueByPath(\n      parentObject,\n      ['cachedContent'],\n      t.tCachedContentName(apiClient, fromCachedContent),\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['speechConfig'],\n      t.tSpeechConfig(fromSpeechConfig),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['audioTimestamp']) !== undefined) {\n    throw new Error(\n      'audioTimestamp parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromImageConfig = common.getValueByPath(fromObject, ['imageConfig']);\n  if (fromImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageConfig'],\n      imageConfigToMldev(fromImageConfig, rootObject),\n    );\n  }\n\n  const fromEnableEnhancedCivicAnswers = common.getValueByPath(fromObject, [\n    'enableEnhancedCivicAnswers',\n  ]);\n  if (fromEnableEnhancedCivicAnswers != null) {\n    common.setValueByPath(\n      toObject,\n      ['enableEnhancedCivicAnswers'],\n      fromEnableEnhancedCivicAnswers,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['modelArmorConfig']) !== undefined) {\n    throw new Error(\n      'modelArmorConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromServiceTier = common.getValueByPath(fromObject, ['serviceTier']);\n  if (parentObject !== undefined && fromServiceTier != null) {\n    common.setValueByPath(parentObject, ['serviceTier'], fromServiceTier);\n  }\n\n  return toObject;\n}\n\nexport function generateContentConfigToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GenerateContentConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['systemInstruction'],\n      contentToVertex(t.tContent(fromSystemInstruction), rootObject),\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseSchema'],\n      t.tSchema(fromResponseSchema),\n    );\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  const fromRoutingConfig = common.getValueByPath(fromObject, [\n    'routingConfig',\n  ]);\n  if (fromRoutingConfig != null) {\n    common.setValueByPath(toObject, ['routingConfig'], fromRoutingConfig);\n  }\n\n  const fromModelSelectionConfig = common.getValueByPath(fromObject, [\n    'modelSelectionConfig',\n  ]);\n  if (fromModelSelectionConfig != null) {\n    common.setValueByPath(toObject, ['modelConfig'], fromModelSelectionConfig);\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(parentObject, ['safetySettings'], transformedList);\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToVertex(t.tTool(item), rootObject);\n      });\n    }\n    common.setValueByPath(parentObject, ['tools'], transformedList);\n  }\n\n  const fromToolConfig = common.getValueByPath(fromObject, ['toolConfig']);\n  if (parentObject !== undefined && fromToolConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['toolConfig'],\n      toolConfigToVertex(fromToolConfig, rootObject),\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  const fromCachedContent = common.getValueByPath(fromObject, [\n    'cachedContent',\n  ]);\n  if (parentObject !== undefined && fromCachedContent != null) {\n    common.setValueByPath(\n      parentObject,\n      ['cachedContent'],\n      t.tCachedContentName(apiClient, fromCachedContent),\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['speechConfig'],\n      speechConfigToVertex(t.tSpeechConfig(fromSpeechConfig), rootObject),\n    );\n  }\n\n  const fromAudioTimestamp = common.getValueByPath(fromObject, [\n    'audioTimestamp',\n  ]);\n  if (fromAudioTimestamp != null) {\n    common.setValueByPath(toObject, ['audioTimestamp'], fromAudioTimestamp);\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromImageConfig = common.getValueByPath(fromObject, ['imageConfig']);\n  if (fromImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageConfig'],\n      imageConfigToVertex(fromImageConfig, rootObject),\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enableEnhancedCivicAnswers']) !==\n    undefined\n  ) {\n    throw new Error(\n      'enableEnhancedCivicAnswers parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromModelArmorConfig = common.getValueByPath(fromObject, [\n    'modelArmorConfig',\n  ]);\n  if (parentObject !== undefined && fromModelArmorConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['modelArmorConfig'],\n      fromModelArmorConfig,\n    );\n  }\n\n  const fromServiceTier = common.getValueByPath(fromObject, ['serviceTier']);\n  if (parentObject !== undefined && fromServiceTier != null) {\n    common.setValueByPath(parentObject, ['serviceTier'], fromServiceTier);\n  }\n\n  return toObject;\n}\n\nexport function generateContentParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GenerateContentParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['generationConfig'],\n      generateContentConfigToMldev(apiClient, fromConfig, toObject, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateContentParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GenerateContentParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = t.tContents(fromContents);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['generationConfig'],\n      generateContentConfigToVertex(\n        apiClient,\n        fromConfig,\n        toObject,\n        rootObject,\n      ),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateContentResponseFromMldev(\n  fromObject: types.GenerateContentResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromCandidates = common.getValueByPath(fromObject, ['candidates']);\n  if (fromCandidates != null) {\n    let transformedList = fromCandidates;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return candidateFromMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['candidates'], transformedList);\n  }\n\n  const fromModelVersion = common.getValueByPath(fromObject, ['modelVersion']);\n  if (fromModelVersion != null) {\n    common.setValueByPath(toObject, ['modelVersion'], fromModelVersion);\n  }\n\n  const fromPromptFeedback = common.getValueByPath(fromObject, [\n    'promptFeedback',\n  ]);\n  if (fromPromptFeedback != null) {\n    common.setValueByPath(toObject, ['promptFeedback'], fromPromptFeedback);\n  }\n\n  const fromResponseId = common.getValueByPath(fromObject, ['responseId']);\n  if (fromResponseId != null) {\n    common.setValueByPath(toObject, ['responseId'], fromResponseId);\n  }\n\n  const fromUsageMetadata = common.getValueByPath(fromObject, [\n    'usageMetadata',\n  ]);\n  if (fromUsageMetadata != null) {\n    common.setValueByPath(toObject, ['usageMetadata'], fromUsageMetadata);\n  }\n\n  const fromModelStatus = common.getValueByPath(fromObject, ['modelStatus']);\n  if (fromModelStatus != null) {\n    common.setValueByPath(toObject, ['modelStatus'], fromModelStatus);\n  }\n\n  return toObject;\n}\n\nexport function generateContentResponseFromVertex(\n  fromObject: types.GenerateContentResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromCandidates = common.getValueByPath(fromObject, ['candidates']);\n  if (fromCandidates != null) {\n    let transformedList = fromCandidates;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['candidates'], transformedList);\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromModelVersion = common.getValueByPath(fromObject, ['modelVersion']);\n  if (fromModelVersion != null) {\n    common.setValueByPath(toObject, ['modelVersion'], fromModelVersion);\n  }\n\n  const fromPromptFeedback = common.getValueByPath(fromObject, [\n    'promptFeedback',\n  ]);\n  if (fromPromptFeedback != null) {\n    common.setValueByPath(toObject, ['promptFeedback'], fromPromptFeedback);\n  }\n\n  const fromResponseId = common.getValueByPath(fromObject, ['responseId']);\n  if (fromResponseId != null) {\n    common.setValueByPath(toObject, ['responseId'], fromResponseId);\n  }\n\n  const fromUsageMetadata = common.getValueByPath(fromObject, [\n    'usageMetadata',\n  ]);\n  if (fromUsageMetadata != null) {\n    common.setValueByPath(toObject, ['usageMetadata'], fromUsageMetadata);\n  }\n\n  return toObject;\n}\n\nexport function generateImagesConfigToMldev(\n  fromObject: types.GenerateImagesConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['outputGcsUri']) !== undefined) {\n    throw new Error(\n      'outputGcsUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['negativePrompt']) !== undefined) {\n    throw new Error(\n      'negativePrompt parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromNumberOfImages = common.getValueByPath(fromObject, [\n    'numberOfImages',\n  ]);\n  if (parentObject !== undefined && fromNumberOfImages != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfImages,\n    );\n  }\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (parentObject !== undefined && fromAspectRatio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'aspectRatio'],\n      fromAspectRatio,\n    );\n  }\n\n  const fromGuidanceScale = common.getValueByPath(fromObject, [\n    'guidanceScale',\n  ]);\n  if (parentObject !== undefined && fromGuidanceScale != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'guidanceScale'],\n      fromGuidanceScale,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['seed']) !== undefined) {\n    throw new Error(\n      'seed parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromSafetyFilterLevel = common.getValueByPath(fromObject, [\n    'safetyFilterLevel',\n  ]);\n  if (parentObject !== undefined && fromSafetyFilterLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'safetySetting'],\n      fromSafetyFilterLevel,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromIncludeSafetyAttributes = common.getValueByPath(fromObject, [\n    'includeSafetyAttributes',\n  ]);\n  if (parentObject !== undefined && fromIncludeSafetyAttributes != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeSafetyAttributes'],\n      fromIncludeSafetyAttributes,\n    );\n  }\n\n  const fromIncludeRaiReason = common.getValueByPath(fromObject, [\n    'includeRaiReason',\n  ]);\n  if (parentObject !== undefined && fromIncludeRaiReason != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeRaiReason'],\n      fromIncludeRaiReason,\n    );\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (parentObject !== undefined && fromLanguage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'language'],\n      fromLanguage,\n    );\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (parentObject !== undefined && fromOutputMimeType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (parentObject !== undefined && fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['addWatermark']) !== undefined) {\n    throw new Error(\n      'addWatermark parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['labels']) !== undefined) {\n    throw new Error(\n      'labels parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromImageSize = common.getValueByPath(fromObject, ['imageSize']);\n  if (parentObject !== undefined && fromImageSize != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleImageSize'],\n      fromImageSize,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['enhancePrompt']) !== undefined) {\n    throw new Error(\n      'enhancePrompt parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateImagesConfigToVertex(\n  fromObject: types.GenerateImagesConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutputGcsUri = common.getValueByPath(fromObject, ['outputGcsUri']);\n  if (parentObject !== undefined && fromOutputGcsUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'storageUri'],\n      fromOutputGcsUri,\n    );\n  }\n\n  const fromNegativePrompt = common.getValueByPath(fromObject, [\n    'negativePrompt',\n  ]);\n  if (parentObject !== undefined && fromNegativePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'negativePrompt'],\n      fromNegativePrompt,\n    );\n  }\n\n  const fromNumberOfImages = common.getValueByPath(fromObject, [\n    'numberOfImages',\n  ]);\n  if (parentObject !== undefined && fromNumberOfImages != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfImages,\n    );\n  }\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (parentObject !== undefined && fromAspectRatio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'aspectRatio'],\n      fromAspectRatio,\n    );\n  }\n\n  const fromGuidanceScale = common.getValueByPath(fromObject, [\n    'guidanceScale',\n  ]);\n  if (parentObject !== undefined && fromGuidanceScale != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'guidanceScale'],\n      fromGuidanceScale,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(parentObject, ['parameters', 'seed'], fromSeed);\n  }\n\n  const fromSafetyFilterLevel = common.getValueByPath(fromObject, [\n    'safetyFilterLevel',\n  ]);\n  if (parentObject !== undefined && fromSafetyFilterLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'safetySetting'],\n      fromSafetyFilterLevel,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromIncludeSafetyAttributes = common.getValueByPath(fromObject, [\n    'includeSafetyAttributes',\n  ]);\n  if (parentObject !== undefined && fromIncludeSafetyAttributes != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeSafetyAttributes'],\n      fromIncludeSafetyAttributes,\n    );\n  }\n\n  const fromIncludeRaiReason = common.getValueByPath(fromObject, [\n    'includeRaiReason',\n  ]);\n  if (parentObject !== undefined && fromIncludeRaiReason != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeRaiReason'],\n      fromIncludeRaiReason,\n    );\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (parentObject !== undefined && fromLanguage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'language'],\n      fromLanguage,\n    );\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (parentObject !== undefined && fromOutputMimeType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (parentObject !== undefined && fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  const fromAddWatermark = common.getValueByPath(fromObject, ['addWatermark']);\n  if (parentObject !== undefined && fromAddWatermark != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'addWatermark'],\n      fromAddWatermark,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  const fromImageSize = common.getValueByPath(fromObject, ['imageSize']);\n  if (parentObject !== undefined && fromImageSize != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleImageSize'],\n      fromImageSize,\n    );\n  }\n\n  const fromEnhancePrompt = common.getValueByPath(fromObject, [\n    'enhancePrompt',\n  ]);\n  if (parentObject !== undefined && fromEnhancePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'enhancePrompt'],\n      fromEnhancePrompt,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateImagesParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GenerateImagesParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromPrompt != null) {\n    common.setValueByPath(toObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    generateImagesConfigToMldev(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function generateImagesParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GenerateImagesParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromPrompt != null) {\n    common.setValueByPath(toObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    generateImagesConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function generateImagesResponseFromMldev(\n  fromObject: types.GenerateImagesResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromGeneratedImages = common.getValueByPath(fromObject, [\n    'predictions',\n  ]);\n  if (fromGeneratedImages != null) {\n    let transformedList = fromGeneratedImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageFromMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedImages'], transformedList);\n  }\n\n  const fromPositivePromptSafetyAttributes = common.getValueByPath(fromObject, [\n    'positivePromptSafetyAttributes',\n  ]);\n  if (fromPositivePromptSafetyAttributes != null) {\n    common.setValueByPath(\n      toObject,\n      ['positivePromptSafetyAttributes'],\n      safetyAttributesFromMldev(fromPositivePromptSafetyAttributes, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateImagesResponseFromVertex(\n  fromObject: types.GenerateImagesResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromGeneratedImages = common.getValueByPath(fromObject, [\n    'predictions',\n  ]);\n  if (fromGeneratedImages != null) {\n    let transformedList = fromGeneratedImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedImages'], transformedList);\n  }\n\n  const fromPositivePromptSafetyAttributes = common.getValueByPath(fromObject, [\n    'positivePromptSafetyAttributes',\n  ]);\n  if (fromPositivePromptSafetyAttributes != null) {\n    common.setValueByPath(\n      toObject,\n      ['positivePromptSafetyAttributes'],\n      safetyAttributesFromVertex(\n        fromPositivePromptSafetyAttributes,\n        rootObject,\n      ),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosConfigToMldev(\n  fromObject: types.GenerateVideosConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromNumberOfVideos = common.getValueByPath(fromObject, [\n    'numberOfVideos',\n  ]);\n  if (parentObject !== undefined && fromNumberOfVideos != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfVideos,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['outputGcsUri']) !== undefined) {\n    throw new Error(\n      'outputGcsUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fps']) !== undefined) {\n    throw new Error(\n      'fps parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromDurationSeconds = common.getValueByPath(fromObject, [\n    'durationSeconds',\n  ]);\n  if (parentObject !== undefined && fromDurationSeconds != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'durationSeconds'],\n      fromDurationSeconds,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['seed']) !== undefined) {\n    throw new Error(\n      'seed parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (parentObject !== undefined && fromAspectRatio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'aspectRatio'],\n      fromAspectRatio,\n    );\n  }\n\n  const fromResolution = common.getValueByPath(fromObject, ['resolution']);\n  if (parentObject !== undefined && fromResolution != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'resolution'],\n      fromResolution,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['pubsubTopic']) !== undefined) {\n    throw new Error(\n      'pubsubTopic parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromNegativePrompt = common.getValueByPath(fromObject, [\n    'negativePrompt',\n  ]);\n  if (parentObject !== undefined && fromNegativePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'negativePrompt'],\n      fromNegativePrompt,\n    );\n  }\n\n  const fromEnhancePrompt = common.getValueByPath(fromObject, [\n    'enhancePrompt',\n  ]);\n  if (parentObject !== undefined && fromEnhancePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'enhancePrompt'],\n      fromEnhancePrompt,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['generateAudio']) !== undefined) {\n    throw new Error(\n      'generateAudio parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromLastFrame = common.getValueByPath(fromObject, ['lastFrame']);\n  if (parentObject !== undefined && fromLastFrame != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'lastFrame'],\n      imageToMldev(fromLastFrame, rootObject),\n    );\n  }\n\n  const fromReferenceImages = common.getValueByPath(fromObject, [\n    'referenceImages',\n  ]);\n  if (parentObject !== undefined && fromReferenceImages != null) {\n    let transformedList = fromReferenceImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return videoGenerationReferenceImageToMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'referenceImages'],\n      transformedList,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['mask']) !== undefined) {\n    throw new Error(\n      'mask parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['compressionQuality']) !== undefined) {\n    throw new Error(\n      'compressionQuality parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['labels']) !== undefined) {\n    throw new Error(\n      'labels parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromWebhookConfig = common.getValueByPath(fromObject, [\n    'webhookConfig',\n  ]);\n  if (parentObject !== undefined && fromWebhookConfig != null) {\n    common.setValueByPath(parentObject, ['webhookConfig'], fromWebhookConfig);\n  }\n\n  if (common.getValueByPath(fromObject, ['resizeMode']) !== undefined) {\n    throw new Error(\n      'resizeMode parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosConfigToVertex(\n  fromObject: types.GenerateVideosConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromNumberOfVideos = common.getValueByPath(fromObject, [\n    'numberOfVideos',\n  ]);\n  if (parentObject !== undefined && fromNumberOfVideos != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfVideos,\n    );\n  }\n\n  const fromOutputGcsUri = common.getValueByPath(fromObject, ['outputGcsUri']);\n  if (parentObject !== undefined && fromOutputGcsUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'storageUri'],\n      fromOutputGcsUri,\n    );\n  }\n\n  const fromFps = common.getValueByPath(fromObject, ['fps']);\n  if (parentObject !== undefined && fromFps != null) {\n    common.setValueByPath(parentObject, ['parameters', 'fps'], fromFps);\n  }\n\n  const fromDurationSeconds = common.getValueByPath(fromObject, [\n    'durationSeconds',\n  ]);\n  if (parentObject !== undefined && fromDurationSeconds != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'durationSeconds'],\n      fromDurationSeconds,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(parentObject, ['parameters', 'seed'], fromSeed);\n  }\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (parentObject !== undefined && fromAspectRatio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'aspectRatio'],\n      fromAspectRatio,\n    );\n  }\n\n  const fromResolution = common.getValueByPath(fromObject, ['resolution']);\n  if (parentObject !== undefined && fromResolution != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'resolution'],\n      fromResolution,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromPubsubTopic = common.getValueByPath(fromObject, ['pubsubTopic']);\n  if (parentObject !== undefined && fromPubsubTopic != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'pubsubTopic'],\n      fromPubsubTopic,\n    );\n  }\n\n  const fromNegativePrompt = common.getValueByPath(fromObject, [\n    'negativePrompt',\n  ]);\n  if (parentObject !== undefined && fromNegativePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'negativePrompt'],\n      fromNegativePrompt,\n    );\n  }\n\n  const fromEnhancePrompt = common.getValueByPath(fromObject, [\n    'enhancePrompt',\n  ]);\n  if (parentObject !== undefined && fromEnhancePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'enhancePrompt'],\n      fromEnhancePrompt,\n    );\n  }\n\n  const fromGenerateAudio = common.getValueByPath(fromObject, [\n    'generateAudio',\n  ]);\n  if (parentObject !== undefined && fromGenerateAudio != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'generateAudio'],\n      fromGenerateAudio,\n    );\n  }\n\n  const fromLastFrame = common.getValueByPath(fromObject, ['lastFrame']);\n  if (parentObject !== undefined && fromLastFrame != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'lastFrame'],\n      imageToVertex(fromLastFrame, rootObject),\n    );\n  }\n\n  const fromReferenceImages = common.getValueByPath(fromObject, [\n    'referenceImages',\n  ]);\n  if (parentObject !== undefined && fromReferenceImages != null) {\n    let transformedList = fromReferenceImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return videoGenerationReferenceImageToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'referenceImages'],\n      transformedList,\n    );\n  }\n\n  const fromMask = common.getValueByPath(fromObject, ['mask']);\n  if (parentObject !== undefined && fromMask != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'mask'],\n      videoGenerationMaskToVertex(fromMask, rootObject),\n    );\n  }\n\n  const fromCompressionQuality = common.getValueByPath(fromObject, [\n    'compressionQuality',\n  ]);\n  if (parentObject !== undefined && fromCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'compressionQuality'],\n      fromCompressionQuality,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  if (common.getValueByPath(fromObject, ['webhookConfig']) !== undefined) {\n    throw new Error(\n      'webhookConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromResizeMode = common.getValueByPath(fromObject, ['resizeMode']);\n  if (parentObject !== undefined && fromResizeMode != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'resizeMode'],\n      fromResizeMode,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosOperationFromMldev(\n  fromObject: types.GenerateVideosOperation,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, [\n    'response',\n    'generateVideoResponse',\n  ]);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      generateVideosResponseFromMldev(fromResponse, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosOperationFromVertex(\n  fromObject: types.GenerateVideosOperation,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromResponse = common.getValueByPath(fromObject, ['response']);\n  if (fromResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['response'],\n      generateVideosResponseFromVertex(fromResponse, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GenerateVideosParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromPrompt != null) {\n    common.setValueByPath(toObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'image'],\n      imageToMldev(fromImage, rootObject),\n    );\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'video'],\n      videoToMldev(fromVideo, rootObject),\n    );\n  }\n\n  const fromSource = common.getValueByPath(fromObject, ['source']);\n  if (fromSource != null) {\n    generateVideosSourceToMldev(fromSource, toObject, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    generateVideosConfigToMldev(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function generateVideosParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GenerateVideosParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromPrompt != null) {\n    common.setValueByPath(toObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'video'],\n      videoToVertex(fromVideo, rootObject),\n    );\n  }\n\n  const fromSource = common.getValueByPath(fromObject, ['source']);\n  if (fromSource != null) {\n    generateVideosSourceToVertex(fromSource, toObject, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    generateVideosConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function generateVideosResponseFromMldev(\n  fromObject: types.GenerateVideosResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedVideos = common.getValueByPath(fromObject, [\n    'generatedSamples',\n  ]);\n  if (fromGeneratedVideos != null) {\n    let transformedList = fromGeneratedVideos;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedVideoFromMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedVideos'], transformedList);\n  }\n\n  const fromRaiMediaFilteredCount = common.getValueByPath(fromObject, [\n    'raiMediaFilteredCount',\n  ]);\n  if (fromRaiMediaFilteredCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredCount'],\n      fromRaiMediaFilteredCount,\n    );\n  }\n\n  const fromRaiMediaFilteredReasons = common.getValueByPath(fromObject, [\n    'raiMediaFilteredReasons',\n  ]);\n  if (fromRaiMediaFilteredReasons != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredReasons'],\n      fromRaiMediaFilteredReasons,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosResponseFromVertex(\n  fromObject: types.GenerateVideosResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedVideos = common.getValueByPath(fromObject, ['videos']);\n  if (fromGeneratedVideos != null) {\n    let transformedList = fromGeneratedVideos;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedVideoFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedVideos'], transformedList);\n  }\n\n  const fromRaiMediaFilteredCount = common.getValueByPath(fromObject, [\n    'raiMediaFilteredCount',\n  ]);\n  if (fromRaiMediaFilteredCount != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredCount'],\n      fromRaiMediaFilteredCount,\n    );\n  }\n\n  const fromRaiMediaFilteredReasons = common.getValueByPath(fromObject, [\n    'raiMediaFilteredReasons',\n  ]);\n  if (fromRaiMediaFilteredReasons != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiMediaFilteredReasons'],\n      fromRaiMediaFilteredReasons,\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosSourceToMldev(\n  fromObject: types.GenerateVideosSource,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (parentObject !== undefined && fromPrompt != null) {\n    common.setValueByPath(parentObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (parentObject !== undefined && fromImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'image'],\n      imageToMldev(fromImage, rootObject),\n    );\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (parentObject !== undefined && fromVideo != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'video'],\n      videoToMldev(fromVideo, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generateVideosSourceToVertex(\n  fromObject: types.GenerateVideosSource,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (parentObject !== undefined && fromPrompt != null) {\n    common.setValueByPath(parentObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (parentObject !== undefined && fromImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (parentObject !== undefined && fromVideo != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'video'],\n      videoToVertex(fromVideo, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generatedImageFromMldev(\n  fromObject: types.GeneratedImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['_self']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageFromMldev(fromImage, rootObject),\n    );\n  }\n\n  const fromRaiFilteredReason = common.getValueByPath(fromObject, [\n    'raiFilteredReason',\n  ]);\n  if (fromRaiFilteredReason != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiFilteredReason'],\n      fromRaiFilteredReason,\n    );\n  }\n\n  const fromSafetyAttributes = common.getValueByPath(fromObject, ['_self']);\n  if (fromSafetyAttributes != null) {\n    common.setValueByPath(\n      toObject,\n      ['safetyAttributes'],\n      safetyAttributesFromMldev(fromSafetyAttributes, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generatedImageFromVertex(\n  fromObject: types.GeneratedImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['_self']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageFromVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromRaiFilteredReason = common.getValueByPath(fromObject, [\n    'raiFilteredReason',\n  ]);\n  if (fromRaiFilteredReason != null) {\n    common.setValueByPath(\n      toObject,\n      ['raiFilteredReason'],\n      fromRaiFilteredReason,\n    );\n  }\n\n  const fromSafetyAttributes = common.getValueByPath(fromObject, ['_self']);\n  if (fromSafetyAttributes != null) {\n    common.setValueByPath(\n      toObject,\n      ['safetyAttributes'],\n      safetyAttributesFromVertex(fromSafetyAttributes, rootObject),\n    );\n  }\n\n  const fromEnhancedPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (fromEnhancedPrompt != null) {\n    common.setValueByPath(toObject, ['enhancedPrompt'], fromEnhancedPrompt);\n  }\n\n  return toObject;\n}\n\nexport function generatedImageMaskFromVertex(\n  fromObject: types.GeneratedImageMask,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMask = common.getValueByPath(fromObject, ['_self']);\n  if (fromMask != null) {\n    common.setValueByPath(\n      toObject,\n      ['mask'],\n      imageFromVertex(fromMask, rootObject),\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (fromLabels != null) {\n    let transformedList = fromLabels;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['labels'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function generatedVideoFromMldev(\n  fromObject: types.GeneratedVideo,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVideo = common.getValueByPath(fromObject, ['video']);\n  if (fromVideo != null) {\n    common.setValueByPath(\n      toObject,\n      ['video'],\n      videoFromMldev(fromVideo, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generatedVideoFromVertex(\n  fromObject: types.GeneratedVideo,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVideo = common.getValueByPath(fromObject, ['_self']);\n  if (fromVideo != null) {\n    common.setValueByPath(\n      toObject,\n      ['video'],\n      videoFromVertex(fromVideo, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function generationConfigToVertex(\n  fromObject: types.GenerationConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModelSelectionConfig = common.getValueByPath(fromObject, [\n    'modelSelectionConfig',\n  ]);\n  if (fromModelSelectionConfig != null) {\n    common.setValueByPath(toObject, ['modelConfig'], fromModelSelectionConfig);\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  const fromAudioTimestamp = common.getValueByPath(fromObject, [\n    'audioTimestamp',\n  ]);\n  if (fromAudioTimestamp != null) {\n    common.setValueByPath(toObject, ['audioTimestamp'], fromAudioTimestamp);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      toObject,\n      ['enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(toObject, ['responseSchema'], fromResponseSchema);\n  }\n\n  const fromRoutingConfig = common.getValueByPath(fromObject, [\n    'routingConfig',\n  ]);\n  if (fromRoutingConfig != null) {\n    common.setValueByPath(toObject, ['routingConfig'], fromRoutingConfig);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['speechConfig'],\n      speechConfigToVertex(fromSpeechConfig, rootObject),\n    );\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enableEnhancedCivicAnswers']) !==\n    undefined\n  ) {\n    throw new Error(\n      'enableEnhancedCivicAnswers parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromResponseFormat = common.getValueByPath(fromObject, [\n    'responseFormat',\n  ]);\n  if (fromResponseFormat != null) {\n    let transformedList = fromResponseFormat;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['responseFormat'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['translationConfig']) !== undefined) {\n    throw new Error(\n      'translationConfig parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function getModelParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.GetModelParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  return toObject;\n}\n\nexport function getModelParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.GetModelParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  return toObject;\n}\n\nexport function googleMapsToMldev(\n  fromObject: types.GoogleMaps,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAuthConfig = common.getValueByPath(fromObject, ['authConfig']);\n  if (fromAuthConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['authConfig'],\n      authConfigToMldev(fromAuthConfig, rootObject),\n    );\n  }\n\n  const fromEnableWidget = common.getValueByPath(fromObject, ['enableWidget']);\n  if (fromEnableWidget != null) {\n    common.setValueByPath(toObject, ['enableWidget'], fromEnableWidget);\n  }\n\n  return toObject;\n}\n\nexport function googleSearchToMldev(\n  fromObject: types.GoogleSearch,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSearchTypes = common.getValueByPath(fromObject, ['searchTypes']);\n  if (fromSearchTypes != null) {\n    common.setValueByPath(toObject, ['searchTypes'], fromSearchTypes);\n  }\n\n  if (common.getValueByPath(fromObject, ['blockingConfidence']) !== undefined) {\n    throw new Error(\n      'blockingConfidence parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['excludeDomains']) !== undefined) {\n    throw new Error(\n      'excludeDomains parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTimeRangeFilter = common.getValueByPath(fromObject, [\n    'timeRangeFilter',\n  ]);\n  if (fromTimeRangeFilter != null) {\n    common.setValueByPath(toObject, ['timeRangeFilter'], fromTimeRangeFilter);\n  }\n\n  return toObject;\n}\n\nexport function imageConfigToMldev(\n  fromObject: types.ImageConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (fromAspectRatio != null) {\n    common.setValueByPath(toObject, ['aspectRatio'], fromAspectRatio);\n  }\n\n  const fromImageSize = common.getValueByPath(fromObject, ['imageSize']);\n  if (fromImageSize != null) {\n    common.setValueByPath(toObject, ['imageSize'], fromImageSize);\n  }\n\n  if (common.getValueByPath(fromObject, ['personGeneration']) !== undefined) {\n    throw new Error(\n      'personGeneration parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['prominentPeople']) !== undefined) {\n    throw new Error(\n      'prominentPeople parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['outputMimeType']) !== undefined) {\n    throw new Error(\n      'outputMimeType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['outputCompressionQuality']) !==\n    undefined\n  ) {\n    throw new Error(\n      'outputCompressionQuality parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['imageOutputOptions']) !== undefined) {\n    throw new Error(\n      'imageOutputOptions parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function imageConfigToVertex(\n  fromObject: types.ImageConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAspectRatio = common.getValueByPath(fromObject, ['aspectRatio']);\n  if (fromAspectRatio != null) {\n    common.setValueByPath(toObject, ['aspectRatio'], fromAspectRatio);\n  }\n\n  const fromImageSize = common.getValueByPath(fromObject, ['imageSize']);\n  if (fromImageSize != null) {\n    common.setValueByPath(toObject, ['imageSize'], fromImageSize);\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (fromPersonGeneration != null) {\n    common.setValueByPath(toObject, ['personGeneration'], fromPersonGeneration);\n  }\n\n  const fromProminentPeople = common.getValueByPath(fromObject, [\n    'prominentPeople',\n  ]);\n  if (fromProminentPeople != null) {\n    common.setValueByPath(toObject, ['prominentPeople'], fromProminentPeople);\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (fromOutputMimeType != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageOutputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageOutputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  const fromImageOutputOptions = common.getValueByPath(fromObject, [\n    'imageOutputOptions',\n  ]);\n  if (fromImageOutputOptions != null) {\n    common.setValueByPath(\n      toObject,\n      ['imageOutputOptions'],\n      fromImageOutputOptions,\n    );\n  }\n\n  return toObject;\n}\n\nexport function imageFromMldev(\n  fromObject: types.Image,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImageBytes = common.getValueByPath(fromObject, [\n    'bytesBase64Encoded',\n  ]);\n  if (fromImageBytes != null) {\n    common.setValueByPath(toObject, ['imageBytes'], t.tBytes(fromImageBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function imageFromVertex(\n  fromObject: types.Image,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['gcsUri'], fromGcsUri);\n  }\n\n  const fromImageBytes = common.getValueByPath(fromObject, [\n    'bytesBase64Encoded',\n  ]);\n  if (fromImageBytes != null) {\n    common.setValueByPath(toObject, ['imageBytes'], t.tBytes(fromImageBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function imageToMldev(\n  fromObject: types.Image,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['gcsUri']) !== undefined) {\n    throw new Error(\n      'gcsUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromImageBytes = common.getValueByPath(fromObject, ['imageBytes']);\n  if (fromImageBytes != null) {\n    common.setValueByPath(\n      toObject,\n      ['bytesBase64Encoded'],\n      t.tBytes(fromImageBytes),\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function imageToVertex(\n  fromObject: types.Image,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['gcsUri'], fromGcsUri);\n  }\n\n  const fromImageBytes = common.getValueByPath(fromObject, ['imageBytes']);\n  if (fromImageBytes != null) {\n    common.setValueByPath(\n      toObject,\n      ['bytesBase64Encoded'],\n      t.tBytes(fromImageBytes),\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function listModelsConfigToMldev(\n  apiClient: ApiClient,\n  fromObject: types.ListModelsConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  const fromFilter = common.getValueByPath(fromObject, ['filter']);\n  if (parentObject !== undefined && fromFilter != null) {\n    common.setValueByPath(parentObject, ['_query', 'filter'], fromFilter);\n  }\n\n  const fromQueryBase = common.getValueByPath(fromObject, ['queryBase']);\n  if (parentObject !== undefined && fromQueryBase != null) {\n    common.setValueByPath(\n      parentObject,\n      ['_url', 'models_url'],\n      t.tModelsUrl(apiClient, fromQueryBase),\n    );\n  }\n\n  return toObject;\n}\n\nexport function listModelsConfigToVertex(\n  apiClient: ApiClient,\n  fromObject: types.ListModelsConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  const fromFilter = common.getValueByPath(fromObject, ['filter']);\n  if (parentObject !== undefined && fromFilter != null) {\n    common.setValueByPath(parentObject, ['_query', 'filter'], fromFilter);\n  }\n\n  const fromQueryBase = common.getValueByPath(fromObject, ['queryBase']);\n  if (parentObject !== undefined && fromQueryBase != null) {\n    common.setValueByPath(\n      parentObject,\n      ['_url', 'models_url'],\n      t.tModelsUrl(apiClient, fromQueryBase),\n    );\n  }\n\n  return toObject;\n}\n\nexport function listModelsParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.ListModelsParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listModelsConfigToMldev(apiClient, fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function listModelsParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.ListModelsParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listModelsConfigToVertex(apiClient, fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function listModelsResponseFromMldev(\n  fromObject: types.ListModelsResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromModels = common.getValueByPath(fromObject, ['_self']);\n  if (fromModels != null) {\n    let transformedList = t.tExtractModels(fromModels);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return modelFromMldev(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['models'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function listModelsResponseFromVertex(\n  fromObject: types.ListModelsResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromModels = common.getValueByPath(fromObject, ['_self']);\n  if (fromModels != null) {\n    let transformedList = t.tExtractModels(fromModels);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return modelFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['models'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function maskReferenceConfigToVertex(\n  fromObject: types.MaskReferenceConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMaskMode = common.getValueByPath(fromObject, ['maskMode']);\n  if (fromMaskMode != null) {\n    common.setValueByPath(toObject, ['maskMode'], fromMaskMode);\n  }\n\n  const fromSegmentationClasses = common.getValueByPath(fromObject, [\n    'segmentationClasses',\n  ]);\n  if (fromSegmentationClasses != null) {\n    common.setValueByPath(toObject, ['maskClasses'], fromSegmentationClasses);\n  }\n\n  const fromMaskDilation = common.getValueByPath(fromObject, ['maskDilation']);\n  if (fromMaskDilation != null) {\n    common.setValueByPath(toObject, ['dilation'], fromMaskDilation);\n  }\n\n  return toObject;\n}\n\nexport function mcpServerToVertex(\n  fromObject: types.McpServer,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['name']) !== undefined) {\n    throw new Error(\n      'name parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['streamableHttpTransport']) !== undefined\n  ) {\n    throw new Error(\n      'streamableHttpTransport parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function modelFromMldev(\n  fromObject: types.Model,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (fromDescription != null) {\n    common.setValueByPath(toObject, ['description'], fromDescription);\n  }\n\n  const fromVersion = common.getValueByPath(fromObject, ['version']);\n  if (fromVersion != null) {\n    common.setValueByPath(toObject, ['version'], fromVersion);\n  }\n\n  const fromTunedModelInfo = common.getValueByPath(fromObject, ['_self']);\n  if (fromTunedModelInfo != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedModelInfo'],\n      tunedModelInfoFromMldev(fromTunedModelInfo, rootObject),\n    );\n  }\n\n  const fromInputTokenLimit = common.getValueByPath(fromObject, [\n    'inputTokenLimit',\n  ]);\n  if (fromInputTokenLimit != null) {\n    common.setValueByPath(toObject, ['inputTokenLimit'], fromInputTokenLimit);\n  }\n\n  const fromOutputTokenLimit = common.getValueByPath(fromObject, [\n    'outputTokenLimit',\n  ]);\n  if (fromOutputTokenLimit != null) {\n    common.setValueByPath(toObject, ['outputTokenLimit'], fromOutputTokenLimit);\n  }\n\n  const fromSupportedActions = common.getValueByPath(fromObject, [\n    'supportedGenerationMethods',\n  ]);\n  if (fromSupportedActions != null) {\n    common.setValueByPath(toObject, ['supportedActions'], fromSupportedActions);\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromMaxTemperature = common.getValueByPath(fromObject, [\n    'maxTemperature',\n  ]);\n  if (fromMaxTemperature != null) {\n    common.setValueByPath(toObject, ['maxTemperature'], fromMaxTemperature);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromThinking = common.getValueByPath(fromObject, ['thinking']);\n  if (fromThinking != null) {\n    common.setValueByPath(toObject, ['thinking'], fromThinking);\n  }\n\n  return toObject;\n}\n\nexport function modelFromVertex(\n  fromObject: types.Model,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (fromDisplayName != null) {\n    common.setValueByPath(toObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (fromDescription != null) {\n    common.setValueByPath(toObject, ['description'], fromDescription);\n  }\n\n  const fromVersion = common.getValueByPath(fromObject, ['versionId']);\n  if (fromVersion != null) {\n    common.setValueByPath(toObject, ['version'], fromVersion);\n  }\n\n  const fromEndpoints = common.getValueByPath(fromObject, ['deployedModels']);\n  if (fromEndpoints != null) {\n    let transformedList = fromEndpoints;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return endpointFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['endpoints'], transformedList);\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (fromLabels != null) {\n    common.setValueByPath(toObject, ['labels'], fromLabels);\n  }\n\n  const fromTunedModelInfo = common.getValueByPath(fromObject, ['_self']);\n  if (fromTunedModelInfo != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedModelInfo'],\n      tunedModelInfoFromVertex(fromTunedModelInfo, rootObject),\n    );\n  }\n\n  const fromDefaultCheckpointId = common.getValueByPath(fromObject, [\n    'defaultCheckpointId',\n  ]);\n  if (fromDefaultCheckpointId != null) {\n    common.setValueByPath(\n      toObject,\n      ['defaultCheckpointId'],\n      fromDefaultCheckpointId,\n    );\n  }\n\n  const fromCheckpoints = common.getValueByPath(fromObject, ['checkpoints']);\n  if (fromCheckpoints != null) {\n    let transformedList = fromCheckpoints;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['checkpoints'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function multiSpeakerVoiceConfigToVertex(\n  fromObject: types.MultiSpeakerVoiceConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSpeakerVoiceConfigs = common.getValueByPath(fromObject, [\n    'speakerVoiceConfigs',\n  ]);\n  if (fromSpeakerVoiceConfigs != null) {\n    let transformedList = fromSpeakerVoiceConfigs;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return speakerVoiceConfigToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['speakerVoiceConfigs'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function partToMldev(\n  fromObject: types.Part,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      fromCodeExecutionResult,\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(toObject, ['executableCode'], fromExecutableCode);\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(\n      toObject,\n      ['fileData'],\n      fileDataToMldev(fromFileData, rootObject),\n    );\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCall'],\n      functionCallToMldev(fromFunctionCall, rootObject),\n    );\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(\n      toObject,\n      ['inlineData'],\n      blobToMldev(fromInlineData, rootObject),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  const fromPartMetadata = common.getValueByPath(fromObject, ['partMetadata']);\n  if (fromPartMetadata != null) {\n    common.setValueByPath(toObject, ['partMetadata'], fromPartMetadata);\n  }\n\n  return toObject;\n}\n\nexport function partToVertex(\n  fromObject: types.Part,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      codeExecutionResultToVertex(fromCodeExecutionResult, rootObject),\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(\n      toObject,\n      ['executableCode'],\n      executableCodeToVertex(fromExecutableCode, rootObject),\n    );\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(toObject, ['fileData'], fromFileData);\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(toObject, ['functionCall'], fromFunctionCall);\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(toObject, ['inlineData'], fromInlineData);\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  if (common.getValueByPath(fromObject, ['toolCall']) !== undefined) {\n    throw new Error(\n      'toolCall parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['toolResponse']) !== undefined) {\n    throw new Error(\n      'toolResponse parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['partMetadata']) !== undefined) {\n    throw new Error(\n      'partMetadata parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function productImageToVertex(\n  fromObject: types.ProductImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromProductImage = common.getValueByPath(fromObject, ['productImage']);\n  if (fromProductImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageToVertex(fromProductImage, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function recontextImageConfigToVertex(\n  fromObject: types.RecontextImageConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromNumberOfImages = common.getValueByPath(fromObject, [\n    'numberOfImages',\n  ]);\n  if (parentObject !== undefined && fromNumberOfImages != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfImages,\n    );\n  }\n\n  const fromBaseSteps = common.getValueByPath(fromObject, ['baseSteps']);\n  if (parentObject !== undefined && fromBaseSteps != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'baseSteps'],\n      fromBaseSteps,\n    );\n  }\n\n  const fromOutputGcsUri = common.getValueByPath(fromObject, ['outputGcsUri']);\n  if (parentObject !== undefined && fromOutputGcsUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'storageUri'],\n      fromOutputGcsUri,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(parentObject, ['parameters', 'seed'], fromSeed);\n  }\n\n  const fromSafetyFilterLevel = common.getValueByPath(fromObject, [\n    'safetyFilterLevel',\n  ]);\n  if (parentObject !== undefined && fromSafetyFilterLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'safetySetting'],\n      fromSafetyFilterLevel,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromAddWatermark = common.getValueByPath(fromObject, ['addWatermark']);\n  if (parentObject !== undefined && fromAddWatermark != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'addWatermark'],\n      fromAddWatermark,\n    );\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (parentObject !== undefined && fromOutputMimeType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (parentObject !== undefined && fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  const fromEnhancePrompt = common.getValueByPath(fromObject, [\n    'enhancePrompt',\n  ]);\n  if (parentObject !== undefined && fromEnhancePrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'enhancePrompt'],\n      fromEnhancePrompt,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  return toObject;\n}\n\nexport function recontextImageParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.RecontextImageParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromSource = common.getValueByPath(fromObject, ['source']);\n  if (fromSource != null) {\n    recontextImageSourceToVertex(fromSource, toObject, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    recontextImageConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function recontextImageResponseFromVertex(\n  fromObject: types.RecontextImageResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedImages = common.getValueByPath(fromObject, [\n    'predictions',\n  ]);\n  if (fromGeneratedImages != null) {\n    let transformedList = fromGeneratedImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedImages'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function recontextImageSourceToVertex(\n  fromObject: types.RecontextImageSource,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (parentObject !== undefined && fromPrompt != null) {\n    common.setValueByPath(parentObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromPersonImage = common.getValueByPath(fromObject, ['personImage']);\n  if (parentObject !== undefined && fromPersonImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'personImage', 'image'],\n      imageToVertex(fromPersonImage, rootObject),\n    );\n  }\n\n  const fromProductImages = common.getValueByPath(fromObject, [\n    'productImages',\n  ]);\n  if (parentObject !== undefined && fromProductImages != null) {\n    let transformedList = fromProductImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return productImageToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'productImages'],\n      transformedList,\n    );\n  }\n\n  return toObject;\n}\n\nexport function referenceImageAPIInternalToVertex(\n  fromObject: _internal_types.ReferenceImageAPIInternal,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromReferenceImage = common.getValueByPath(fromObject, [\n    'referenceImage',\n  ]);\n  if (fromReferenceImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['referenceImage'],\n      imageToVertex(fromReferenceImage, rootObject),\n    );\n  }\n\n  const fromReferenceId = common.getValueByPath(fromObject, ['referenceId']);\n  if (fromReferenceId != null) {\n    common.setValueByPath(toObject, ['referenceId'], fromReferenceId);\n  }\n\n  const fromReferenceType = common.getValueByPath(fromObject, [\n    'referenceType',\n  ]);\n  if (fromReferenceType != null) {\n    common.setValueByPath(toObject, ['referenceType'], fromReferenceType);\n  }\n\n  const fromMaskImageConfig = common.getValueByPath(fromObject, [\n    'maskImageConfig',\n  ]);\n  if (fromMaskImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['maskImageConfig'],\n      maskReferenceConfigToVertex(fromMaskImageConfig, rootObject),\n    );\n  }\n\n  const fromControlImageConfig = common.getValueByPath(fromObject, [\n    'controlImageConfig',\n  ]);\n  if (fromControlImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['controlImageConfig'],\n      controlReferenceConfigToVertex(fromControlImageConfig, rootObject),\n    );\n  }\n\n  const fromStyleImageConfig = common.getValueByPath(fromObject, [\n    'styleImageConfig',\n  ]);\n  if (fromStyleImageConfig != null) {\n    common.setValueByPath(toObject, ['styleImageConfig'], fromStyleImageConfig);\n  }\n\n  const fromSubjectImageConfig = common.getValueByPath(fromObject, [\n    'subjectImageConfig',\n  ]);\n  if (fromSubjectImageConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['subjectImageConfig'],\n      fromSubjectImageConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function replicatedVoiceConfigToVertex(\n  fromObject: types.ReplicatedVoiceConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  const fromVoiceSampleAudio = common.getValueByPath(fromObject, [\n    'voiceSampleAudio',\n  ]);\n  if (fromVoiceSampleAudio != null) {\n    common.setValueByPath(toObject, ['voiceSampleAudio'], fromVoiceSampleAudio);\n  }\n\n  if (common.getValueByPath(fromObject, ['consentAudio']) !== undefined) {\n    throw new Error(\n      'consentAudio parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['voiceConsentSignature']) !== undefined\n  ) {\n    throw new Error(\n      'voiceConsentSignature parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function safetyAttributesFromMldev(\n  fromObject: types.SafetyAttributes,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategories = common.getValueByPath(fromObject, [\n    'safetyAttributes',\n    'categories',\n  ]);\n  if (fromCategories != null) {\n    common.setValueByPath(toObject, ['categories'], fromCategories);\n  }\n\n  const fromScores = common.getValueByPath(fromObject, [\n    'safetyAttributes',\n    'scores',\n  ]);\n  if (fromScores != null) {\n    common.setValueByPath(toObject, ['scores'], fromScores);\n  }\n\n  const fromContentType = common.getValueByPath(fromObject, ['contentType']);\n  if (fromContentType != null) {\n    common.setValueByPath(toObject, ['contentType'], fromContentType);\n  }\n\n  return toObject;\n}\n\nexport function safetyAttributesFromVertex(\n  fromObject: types.SafetyAttributes,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategories = common.getValueByPath(fromObject, [\n    'safetyAttributes',\n    'categories',\n  ]);\n  if (fromCategories != null) {\n    common.setValueByPath(toObject, ['categories'], fromCategories);\n  }\n\n  const fromScores = common.getValueByPath(fromObject, [\n    'safetyAttributes',\n    'scores',\n  ]);\n  if (fromScores != null) {\n    common.setValueByPath(toObject, ['scores'], fromScores);\n  }\n\n  const fromContentType = common.getValueByPath(fromObject, ['contentType']);\n  if (fromContentType != null) {\n    common.setValueByPath(toObject, ['contentType'], fromContentType);\n  }\n\n  return toObject;\n}\n\nexport function safetySettingToMldev(\n  fromObject: types.SafetySetting,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategory = common.getValueByPath(fromObject, ['category']);\n  if (fromCategory != null) {\n    common.setValueByPath(toObject, ['category'], fromCategory);\n  }\n\n  if (common.getValueByPath(fromObject, ['method']) !== undefined) {\n    throw new Error(\n      'method parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThreshold = common.getValueByPath(fromObject, ['threshold']);\n  if (fromThreshold != null) {\n    common.setValueByPath(toObject, ['threshold'], fromThreshold);\n  }\n\n  return toObject;\n}\n\nexport function scribbleImageToVertex(\n  fromObject: types.ScribbleImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function segmentImageConfigToVertex(\n  fromObject: types.SegmentImageConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMode = common.getValueByPath(fromObject, ['mode']);\n  if (parentObject !== undefined && fromMode != null) {\n    common.setValueByPath(parentObject, ['parameters', 'mode'], fromMode);\n  }\n\n  const fromMaxPredictions = common.getValueByPath(fromObject, [\n    'maxPredictions',\n  ]);\n  if (parentObject !== undefined && fromMaxPredictions != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'maxPredictions'],\n      fromMaxPredictions,\n    );\n  }\n\n  const fromConfidenceThreshold = common.getValueByPath(fromObject, [\n    'confidenceThreshold',\n  ]);\n  if (parentObject !== undefined && fromConfidenceThreshold != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'confidenceThreshold'],\n      fromConfidenceThreshold,\n    );\n  }\n\n  const fromMaskDilation = common.getValueByPath(fromObject, ['maskDilation']);\n  if (parentObject !== undefined && fromMaskDilation != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'maskDilation'],\n      fromMaskDilation,\n    );\n  }\n\n  const fromBinaryColorThreshold = common.getValueByPath(fromObject, [\n    'binaryColorThreshold',\n  ]);\n  if (parentObject !== undefined && fromBinaryColorThreshold != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'binaryColorThreshold'],\n      fromBinaryColorThreshold,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  return toObject;\n}\n\nexport function segmentImageParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.SegmentImageParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromSource = common.getValueByPath(fromObject, ['source']);\n  if (fromSource != null) {\n    segmentImageSourceToVertex(fromSource, toObject, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    segmentImageConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function segmentImageResponseFromVertex(\n  fromObject: types.SegmentImageResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGeneratedMasks = common.getValueByPath(fromObject, ['predictions']);\n  if (fromGeneratedMasks != null) {\n    let transformedList = fromGeneratedMasks;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageMaskFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedMasks'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function segmentImageSourceToVertex(\n  fromObject: types.SegmentImageSource,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPrompt = common.getValueByPath(fromObject, ['prompt']);\n  if (parentObject !== undefined && fromPrompt != null) {\n    common.setValueByPath(parentObject, ['instances[0]', 'prompt'], fromPrompt);\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (parentObject !== undefined && fromImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromScribbleImage = common.getValueByPath(fromObject, [\n    'scribbleImage',\n  ]);\n  if (parentObject !== undefined && fromScribbleImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['instances[0]', 'scribble'],\n      scribbleImageToVertex(fromScribbleImage, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function speakerVoiceConfigToVertex(\n  fromObject: types.SpeakerVoiceConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSpeaker = common.getValueByPath(fromObject, ['speaker']);\n  if (fromSpeaker != null) {\n    common.setValueByPath(toObject, ['speaker'], fromSpeaker);\n  }\n\n  const fromVoiceConfig = common.getValueByPath(fromObject, ['voiceConfig']);\n  if (fromVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceConfig'],\n      voiceConfigToVertex(fromVoiceConfig, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function speechConfigToVertex(\n  fromObject: types.SpeechConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromVoiceConfig = common.getValueByPath(fromObject, ['voiceConfig']);\n  if (fromVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['voiceConfig'],\n      voiceConfigToVertex(fromVoiceConfig, rootObject),\n    );\n  }\n\n  const fromLanguageCode = common.getValueByPath(fromObject, ['languageCode']);\n  if (fromLanguageCode != null) {\n    common.setValueByPath(toObject, ['languageCode'], fromLanguageCode);\n  }\n\n  const fromMultiSpeakerVoiceConfig = common.getValueByPath(fromObject, [\n    'multiSpeakerVoiceConfig',\n  ]);\n  if (fromMultiSpeakerVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['multiSpeakerVoiceConfig'],\n      multiSpeakerVoiceConfigToVertex(fromMultiSpeakerVoiceConfig, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolConfigToMldev(\n  fromObject: types.ToolConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrievalConfig = common.getValueByPath(fromObject, [\n    'retrievalConfig',\n  ]);\n  if (fromRetrievalConfig != null) {\n    common.setValueByPath(toObject, ['retrievalConfig'], fromRetrievalConfig);\n  }\n\n  const fromFunctionCallingConfig = common.getValueByPath(fromObject, [\n    'functionCallingConfig',\n  ]);\n  if (fromFunctionCallingConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCallingConfig'],\n      functionCallingConfigToMldev(fromFunctionCallingConfig, rootObject),\n    );\n  }\n\n  const fromIncludeServerSideToolInvocations = common.getValueByPath(\n    fromObject,\n    ['includeServerSideToolInvocations'],\n  );\n  if (fromIncludeServerSideToolInvocations != null) {\n    common.setValueByPath(\n      toObject,\n      ['includeServerSideToolInvocations'],\n      fromIncludeServerSideToolInvocations,\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolConfigToVertex(\n  fromObject: types.ToolConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrievalConfig = common.getValueByPath(fromObject, [\n    'retrievalConfig',\n  ]);\n  if (fromRetrievalConfig != null) {\n    common.setValueByPath(toObject, ['retrievalConfig'], fromRetrievalConfig);\n  }\n\n  const fromFunctionCallingConfig = common.getValueByPath(fromObject, [\n    'functionCallingConfig',\n  ]);\n  if (fromFunctionCallingConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCallingConfig'],\n      fromFunctionCallingConfig,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['includeServerSideToolInvocations']) !==\n    undefined\n  ) {\n    throw new Error(\n      'includeServerSideToolInvocations parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToMldev(\n  fromObject: types.Tool,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['retrieval']) !== undefined) {\n    throw new Error(\n      'retrieval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(toObject, ['computerUse'], fromComputerUse);\n  }\n\n  const fromFileSearch = common.getValueByPath(fromObject, ['fileSearch']);\n  if (fromFileSearch != null) {\n    common.setValueByPath(toObject, ['fileSearch'], fromFileSearch);\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearch'],\n      googleSearchToMldev(fromGoogleSearch, rootObject),\n    );\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleMaps'],\n      googleMapsToMldev(fromGoogleMaps, rootObject),\n    );\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enterpriseWebSearch']) !== undefined\n  ) {\n    throw new Error(\n      'enterpriseWebSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['parallelAiSearch']) !== undefined) {\n    throw new Error(\n      'parallelAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['exaAiSearch']) !== undefined) {\n    throw new Error(\n      'exaAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToVertex(\n  fromObject: types.Tool,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromRetrieval = common.getValueByPath(fromObject, ['retrieval']);\n  if (fromRetrieval != null) {\n    common.setValueByPath(toObject, ['retrieval'], fromRetrieval);\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(\n      toObject,\n      ['computerUse'],\n      computerUseToVertex(fromComputerUse, rootObject),\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['fileSearch']) !== undefined) {\n    throw new Error(\n      'fileSearch parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(toObject, ['googleSearch'], fromGoogleSearch);\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(toObject, ['googleMaps'], fromGoogleMaps);\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  const fromEnterpriseWebSearch = common.getValueByPath(fromObject, [\n    'enterpriseWebSearch',\n  ]);\n  if (fromEnterpriseWebSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['enterpriseWebSearch'],\n      fromEnterpriseWebSearch,\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  const fromParallelAiSearch = common.getValueByPath(fromObject, [\n    'parallelAiSearch',\n  ]);\n  if (fromParallelAiSearch != null) {\n    common.setValueByPath(toObject, ['parallelAiSearch'], fromParallelAiSearch);\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return mcpServerToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  const fromExaAiSearch = common.getValueByPath(fromObject, ['exaAiSearch']);\n  if (fromExaAiSearch != null) {\n    common.setValueByPath(toObject, ['exaAiSearch'], fromExaAiSearch);\n  }\n\n  return toObject;\n}\n\nexport function tunedModelInfoFromMldev(\n  fromObject: types.TunedModelInfo,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBaseModel = common.getValueByPath(fromObject, ['baseModel']);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, ['updateTime']);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  return toObject;\n}\n\nexport function tunedModelInfoFromVertex(\n  fromObject: types.TunedModelInfo,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBaseModel = common.getValueByPath(fromObject, [\n    'labels',\n    'google-vertex-llm-tuning-base-model-id',\n  ]);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, ['updateTime']);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  return toObject;\n}\n\nexport function updateModelConfigToMldev(\n  fromObject: types.UpdateModelConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (parentObject !== undefined && fromDescription != null) {\n    common.setValueByPath(parentObject, ['description'], fromDescription);\n  }\n\n  const fromDefaultCheckpointId = common.getValueByPath(fromObject, [\n    'defaultCheckpointId',\n  ]);\n  if (parentObject !== undefined && fromDefaultCheckpointId != null) {\n    common.setValueByPath(\n      parentObject,\n      ['defaultCheckpointId'],\n      fromDefaultCheckpointId,\n    );\n  }\n\n  return toObject;\n}\n\nexport function updateModelConfigToVertex(\n  fromObject: types.UpdateModelConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromDisplayName = common.getValueByPath(fromObject, ['displayName']);\n  if (parentObject !== undefined && fromDisplayName != null) {\n    common.setValueByPath(parentObject, ['displayName'], fromDisplayName);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (parentObject !== undefined && fromDescription != null) {\n    common.setValueByPath(parentObject, ['description'], fromDescription);\n  }\n\n  const fromDefaultCheckpointId = common.getValueByPath(fromObject, [\n    'defaultCheckpointId',\n  ]);\n  if (parentObject !== undefined && fromDefaultCheckpointId != null) {\n    common.setValueByPath(\n      parentObject,\n      ['defaultCheckpointId'],\n      fromDefaultCheckpointId,\n    );\n  }\n\n  return toObject;\n}\n\nexport function updateModelParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.UpdateModelParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'name'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    updateModelConfigToMldev(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function updateModelParametersToVertex(\n  apiClient: ApiClient,\n  fromObject: types.UpdateModelParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    updateModelConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function upscaleImageAPIConfigInternalToVertex(\n  fromObject: _internal_types.UpscaleImageAPIConfigInternal,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutputGcsUri = common.getValueByPath(fromObject, ['outputGcsUri']);\n  if (parentObject !== undefined && fromOutputGcsUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'storageUri'],\n      fromOutputGcsUri,\n    );\n  }\n\n  const fromSafetyFilterLevel = common.getValueByPath(fromObject, [\n    'safetyFilterLevel',\n  ]);\n  if (parentObject !== undefined && fromSafetyFilterLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'safetySetting'],\n      fromSafetyFilterLevel,\n    );\n  }\n\n  const fromPersonGeneration = common.getValueByPath(fromObject, [\n    'personGeneration',\n  ]);\n  if (parentObject !== undefined && fromPersonGeneration != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'personGeneration'],\n      fromPersonGeneration,\n    );\n  }\n\n  const fromIncludeRaiReason = common.getValueByPath(fromObject, [\n    'includeRaiReason',\n  ]);\n  if (parentObject !== undefined && fromIncludeRaiReason != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'includeRaiReason'],\n      fromIncludeRaiReason,\n    );\n  }\n\n  const fromOutputMimeType = common.getValueByPath(fromObject, [\n    'outputMimeType',\n  ]);\n  if (parentObject !== undefined && fromOutputMimeType != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'mimeType'],\n      fromOutputMimeType,\n    );\n  }\n\n  const fromOutputCompressionQuality = common.getValueByPath(fromObject, [\n    'outputCompressionQuality',\n  ]);\n  if (parentObject !== undefined && fromOutputCompressionQuality != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'outputOptions', 'compressionQuality'],\n      fromOutputCompressionQuality,\n    );\n  }\n\n  const fromEnhanceInputImage = common.getValueByPath(fromObject, [\n    'enhanceInputImage',\n  ]);\n  if (parentObject !== undefined && fromEnhanceInputImage != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'upscaleConfig', 'enhanceInputImage'],\n      fromEnhanceInputImage,\n    );\n  }\n\n  const fromImagePreservationFactor = common.getValueByPath(fromObject, [\n    'imagePreservationFactor',\n  ]);\n  if (parentObject !== undefined && fromImagePreservationFactor != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'upscaleConfig', 'imagePreservationFactor'],\n      fromImagePreservationFactor,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  const fromNumberOfImages = common.getValueByPath(fromObject, [\n    'numberOfImages',\n  ]);\n  if (parentObject !== undefined && fromNumberOfImages != null) {\n    common.setValueByPath(\n      parentObject,\n      ['parameters', 'sampleCount'],\n      fromNumberOfImages,\n    );\n  }\n\n  const fromMode = common.getValueByPath(fromObject, ['mode']);\n  if (parentObject !== undefined && fromMode != null) {\n    common.setValueByPath(parentObject, ['parameters', 'mode'], fromMode);\n  }\n\n  return toObject;\n}\n\nexport function upscaleImageAPIParametersInternalToVertex(\n  apiClient: ApiClient,\n  fromObject: _internal_types.UpscaleImageAPIParametersInternal,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['_url', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['instances[0]', 'image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromUpscaleFactor = common.getValueByPath(fromObject, [\n    'upscaleFactor',\n  ]);\n  if (fromUpscaleFactor != null) {\n    common.setValueByPath(\n      toObject,\n      ['parameters', 'upscaleConfig', 'upscaleFactor'],\n      fromUpscaleFactor,\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    upscaleImageAPIConfigInternalToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function upscaleImageResponseFromVertex(\n  fromObject: types.UpscaleImageResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromGeneratedImages = common.getValueByPath(fromObject, [\n    'predictions',\n  ]);\n  if (fromGeneratedImages != null) {\n    let transformedList = fromGeneratedImages;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return generatedImageFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['generatedImages'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function videoFromMldev(\n  fromObject: types.Video,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['uri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['uri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, ['encodedVideo']);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(toObject, ['videoBytes'], t.tBytes(fromVideoBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['encoding']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function videoFromVertex(\n  fromObject: types.Video,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['uri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, [\n    'bytesBase64Encoded',\n  ]);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(toObject, ['videoBytes'], t.tBytes(fromVideoBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function videoGenerationMaskToVertex(\n  fromObject: types.VideoGenerationMask,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['_self'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromMaskMode = common.getValueByPath(fromObject, ['maskMode']);\n  if (fromMaskMode != null) {\n    common.setValueByPath(toObject, ['maskMode'], fromMaskMode);\n  }\n\n  return toObject;\n}\n\nexport function videoGenerationReferenceImageToMldev(\n  fromObject: types.VideoGenerationReferenceImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageToMldev(fromImage, rootObject),\n    );\n  }\n\n  const fromReferenceType = common.getValueByPath(fromObject, [\n    'referenceType',\n  ]);\n  if (fromReferenceType != null) {\n    common.setValueByPath(toObject, ['referenceType'], fromReferenceType);\n  }\n\n  return toObject;\n}\n\nexport function videoGenerationReferenceImageToVertex(\n  fromObject: types.VideoGenerationReferenceImage,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromImage = common.getValueByPath(fromObject, ['image']);\n  if (fromImage != null) {\n    common.setValueByPath(\n      toObject,\n      ['image'],\n      imageToVertex(fromImage, rootObject),\n    );\n  }\n\n  const fromReferenceType = common.getValueByPath(fromObject, [\n    'referenceType',\n  ]);\n  if (fromReferenceType != null) {\n    common.setValueByPath(toObject, ['referenceType'], fromReferenceType);\n  }\n\n  return toObject;\n}\n\nexport function videoToMldev(\n  fromObject: types.Video,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['uri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['uri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, ['videoBytes']);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(toObject, ['encodedVideo'], t.tBytes(fromVideoBytes));\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['encoding'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function videoToVertex(\n  fromObject: types.Video,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromUri = common.getValueByPath(fromObject, ['uri']);\n  if (fromUri != null) {\n    common.setValueByPath(toObject, ['gcsUri'], fromUri);\n  }\n\n  const fromVideoBytes = common.getValueByPath(fromObject, ['videoBytes']);\n  if (fromVideoBytes != null) {\n    common.setValueByPath(\n      toObject,\n      ['bytesBase64Encoded'],\n      t.tBytes(fromVideoBytes),\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function voiceConfigToVertex(\n  fromObject: types.VoiceConfig,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromReplicatedVoiceConfig = common.getValueByPath(fromObject, [\n    'replicatedVoiceConfig',\n  ]);\n  if (fromReplicatedVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['replicatedVoiceConfig'],\n      replicatedVoiceConfigToVertex(fromReplicatedVoiceConfig, rootObject),\n    );\n  }\n\n  const fromPrebuiltVoiceConfig = common.getValueByPath(fromObject, [\n    'prebuiltVoiceConfig',\n  ]);\n  if (fromPrebuiltVoiceConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['prebuiltVoiceConfig'],\n      fromPrebuiltVoiceConfig,\n    );\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport type {Client as McpClient} from '@modelcontextprotocol/sdk/client/index.js';\nimport type {Tool as McpTool} from '@modelcontextprotocol/sdk/types.js';\n\nimport {GOOGLE_API_CLIENT_HEADER} from '../_api_client.js';\nimport {mcpToolsToGeminiTool} from '../_transformers.js';\nimport {\n  CallableTool,\n  CallableToolConfig,\n  FunctionCall,\n  Part,\n  Tool,\n  ToolListUnion,\n} from '../types.js';\n\n// TODO: b/416041229 - Determine how to retrieve the MCP package version.\nexport const MCP_LABEL = 'mcp_used/unknown';\n\n// Whether MCP tool usage is detected from mcpToTool. This is used for\n// telemetry.\nlet hasMcpToolUsageFromMcpToTool = false;\n\n// Checks whether the list of tools contains any MCP tools.\nexport function hasMcpToolUsage(tools: ToolListUnion): boolean {\n  for (const tool of tools) {\n    if (isMcpCallableTool(tool)) {\n      return true;\n    }\n    if (typeof tool === 'object' && 'inputSchema' in tool) {\n      return true;\n    }\n  }\n\n  return hasMcpToolUsageFromMcpToTool;\n}\n\n// Sets the MCP version label in the Google API client header.\nexport function setMcpUsageHeader(headers: Record<string, string>) {\n  const existingHeader = headers[GOOGLE_API_CLIENT_HEADER] ?? '';\n  headers[GOOGLE_API_CLIENT_HEADER] = (\n    existingHeader + ` ${MCP_LABEL}`\n  ).trimStart();\n}\n\n// Returns true if the object is a MCP CallableTool, otherwise false.\nfunction isMcpCallableTool(object: unknown): boolean {\n  return (\n    object !== null &&\n    typeof object === 'object' &&\n    object instanceof McpCallableTool\n  );\n}\n\n// List all tools from the MCP client.\nasync function* listAllTools(\n  mcpClient: McpClient,\n  maxTools: number = 100,\n): AsyncGenerator<McpTool> {\n  let cursor: string | undefined = undefined;\n  let numTools = 0;\n  while (numTools < maxTools) {\n    const t = await mcpClient.listTools({cursor});\n    for (const tool of t.tools) {\n      yield tool;\n      numTools++;\n    }\n    if (!t.nextCursor) {\n      break;\n    }\n    cursor = t.nextCursor;\n  }\n}\n\n/**\n * McpCallableTool can be used for model inference and invoking MCP clients with\n * given function call arguments.\n *\n * @experimental Built-in MCP support is an experimental feature, may change in future\n * versions.\n */\nexport class McpCallableTool implements CallableTool {\n  private readonly mcpClients;\n  private mcpTools: McpTool[] = [];\n  private functionNameToMcpClient: Record<string, McpClient> = {};\n  private readonly config: CallableToolConfig;\n\n  private constructor(\n    mcpClients: McpClient[] = [],\n    config: CallableToolConfig,\n  ) {\n    this.mcpClients = mcpClients;\n    this.config = config;\n  }\n\n  /**\n   * Creates a McpCallableTool.\n   */\n  public static create(\n    mcpClients: McpClient[],\n    config: CallableToolConfig,\n  ): McpCallableTool {\n    return new McpCallableTool(mcpClients, config);\n  }\n\n  /**\n   * Validates the function names are not duplicate and initialize the function\n   * name to MCP client mapping.\n   *\n   * @throws {Error} if the MCP tools from the MCP clients have duplicate tool\n   *     names.\n   */\n  async initialize() {\n    if (this.mcpTools.length > 0) {\n      return;\n    }\n\n    const functionMap: Record<string, McpClient> = {};\n    const mcpTools: McpTool[] = [];\n    for (const mcpClient of this.mcpClients) {\n      for await (const mcpTool of listAllTools(mcpClient)) {\n        mcpTools.push(mcpTool);\n        const mcpToolName = mcpTool.name as string;\n        if (functionMap[mcpToolName]) {\n          throw new Error(\n            `Duplicate function name ${\n              mcpToolName\n            } found in MCP tools. Please ensure function names are unique.`,\n          );\n        }\n        functionMap[mcpToolName] = mcpClient;\n      }\n    }\n    this.mcpTools = mcpTools;\n    this.functionNameToMcpClient = functionMap;\n  }\n\n  public async tool(): Promise<Tool> {\n    await this.initialize();\n    return mcpToolsToGeminiTool(this.mcpTools, this.config);\n  }\n\n  public async callTool(functionCalls: FunctionCall[]): Promise<Part[]> {\n    await this.initialize();\n    const functionCallResponseParts: Part[] = [];\n    for (const functionCall of functionCalls) {\n      if (functionCall.name! in this.functionNameToMcpClient) {\n        const mcpClient = this.functionNameToMcpClient[functionCall.name!];\n        let requestOptions = undefined;\n        // TODO: b/424238654 - Add support for finer grained timeout control.\n        if (this.config.timeout) {\n          requestOptions = {\n            timeout: this.config.timeout,\n          };\n        }\n        const callToolResponse = await mcpClient.callTool(\n          {\n            name: functionCall.name!,\n            arguments: functionCall.args,\n          },\n          // Set the result schema to undefined to allow MCP to rely on the\n          // default schema.\n          undefined,\n          requestOptions,\n        );\n        functionCallResponseParts.push({\n          functionResponse: {\n            name: functionCall.name,\n            response: callToolResponse.isError\n              ? {error: callToolResponse}\n              : (callToolResponse as Record<string, unknown>),\n          },\n        });\n      }\n    }\n    return functionCallResponseParts;\n  }\n}\n\nfunction isMcpClient(client: unknown): client is McpClient {\n  return (\n    client !== null &&\n    typeof client === 'object' &&\n    'listTools' in client &&\n    typeof client.listTools === 'function'\n  );\n}\n\n/**\n * Creates a McpCallableTool from MCP clients and an optional config.\n *\n * The callable tool can invoke the MCP clients with given function call\n * arguments. (often for automatic function calling).\n * Use the config to modify tool parameters such as behavior.\n *\n * @experimental Built-in MCP support is an experimental feature, may change in future\n * versions.\n */\nexport function mcpToTool(\n  ...args: [...McpClient[], CallableToolConfig | McpClient]\n): CallableTool {\n  // Set MCP usage for telemetry.\n  hasMcpToolUsageFromMcpToTool = true;\n  if (args.length === 0) {\n    throw new Error('No MCP clients provided');\n  }\n  const maybeConfig = args[args.length - 1];\n  if (isMcpClient(maybeConfig)) {\n    return McpCallableTool.create(args as McpClient[], {});\n  }\n  return McpCallableTool.create(\n    args.slice(0, args.length - 1) as McpClient[],\n    maybeConfig,\n  );\n}\n\n/**\n * Sets the MCP tool usage flag from calling mcpToTool. This is used for\n * telemetry.\n */\nexport function setMcpToolUsageFromMcpToTool(mcpToolUsage: boolean) {\n  hasMcpToolUsageFromMcpToTool = mcpToolUsage;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n/**\n * Live music client.\n *\n * @experimental\n */\n\nimport {ApiClient} from './_api_client.js';\nimport {Auth} from './_auth.js';\nimport * as t from './_transformers.js';\nimport {WebSocket, WebSocketCallbacks, WebSocketFactory} from './_websocket.js';\nimport * as converters from './converters/_live_converters.js';\nimport * as types from './types.js';\n\n/**\n * Handles incoming messages from the WebSocket.\n *\n * @remarks\n * This function is responsible for parsing incoming messages, transforming them\n * into LiveMusicServerMessage, and then calling the onmessage callback.\n * Note that the first message which is received from the server is a\n * setupComplete message.\n *\n * @param apiClient The ApiClient instance.\n * @param onmessage The user-provided onmessage callback (if any).\n * @param event The MessageEvent from the WebSocket.\n */\nasync function handleWebSocketMessage(\n  apiClient: ApiClient,\n  onmessage: (msg: types.LiveMusicServerMessage) => void,\n  event: MessageEvent,\n): Promise<void> {\n  const serverMessage: types.LiveMusicServerMessage =\n    new types.LiveMusicServerMessage();\n  let data: types.LiveMusicServerMessage;\n  if (event.data instanceof Blob) {\n    data = JSON.parse(await event.data.text()) as types.LiveMusicServerMessage;\n  } else {\n    data = JSON.parse(event.data) as types.LiveMusicServerMessage;\n  }\n  Object.assign(serverMessage, data);\n  onmessage(serverMessage);\n}\n\n/**\n   LiveMusic class encapsulates the configuration for live music\n   generation via Lyria Live models.\n\n   @experimental\n  */\nexport class LiveMusic {\n  constructor(\n    private readonly apiClient: ApiClient,\n    private readonly auth: Auth,\n    private readonly webSocketFactory: WebSocketFactory,\n  ) {}\n\n  /**\n     Establishes a connection to the specified model and returns a\n     LiveMusicSession object representing that connection.\n\n     @experimental\n\n     @remarks\n\n     @param params - The parameters for establishing a connection to the model.\n     @return A live session.\n\n     @example\n     ```ts\n     let model = 'models/lyria-realtime-exp';\n     const session = await ai.live.music.connect({\n       model: model,\n       callbacks: {\n         onmessage: (e: MessageEvent) => {\n           console.log('Received message from the server: %s\\n', debug(e.data));\n         },\n         onerror: (e: ErrorEvent) => {\n           console.log('Error occurred: %s\\n', debug(e.error));\n         },\n         onclose: (e: CloseEvent) => {\n           console.log('Connection closed.');\n         },\n       },\n     });\n     ```\n    */\n  async connect(\n    params: types.LiveMusicConnectParameters,\n  ): Promise<LiveMusicSession> {\n    if (this.apiClient.isVertexAI()) {\n      throw new Error('Live music is not supported for Vertex AI.');\n    }\n    console.warn(\n      'Live music generation is experimental and may change in future versions.',\n    );\n\n    const websocketBaseUrl = this.apiClient.getWebsocketBaseUrl();\n    const apiVersion = this.apiClient.getApiVersion();\n    const headers = mapToHeaders(this.apiClient.getDefaultHeaders());\n    const apiKey = this.apiClient.getApiKey();\n    const url = `${websocketBaseUrl}/ws/google.ai.generativelanguage.${\n      apiVersion\n    }.GenerativeService.BidiGenerateMusic?key=${apiKey}`;\n\n    let onopenResolve: (value: unknown) => void = () => {};\n    const onopenPromise = new Promise((resolve: (value: unknown) => void) => {\n      onopenResolve = resolve;\n    });\n\n    const callbacks: types.LiveMusicCallbacks = params.callbacks;\n\n    const onopenAwaitedCallback = function () {\n      onopenResolve({});\n    };\n\n    const apiClient = this.apiClient;\n    const websocketCallbacks: WebSocketCallbacks = {\n      onopen: onopenAwaitedCallback,\n      onmessage: (event: MessageEvent) => {\n        void handleWebSocketMessage(apiClient, callbacks.onmessage, event);\n      },\n      onerror:\n        callbacks?.onerror ??\n        function (e: ErrorEvent) {\n          void e;\n        },\n      onclose:\n        callbacks?.onclose ??\n        function (e: CloseEvent) {\n          void e;\n        },\n    };\n\n    const conn = this.webSocketFactory.create(\n      url,\n      headersToMap(headers),\n      websocketCallbacks,\n    );\n    conn.connect();\n    // Wait for the websocket to open before sending requests.\n    await onopenPromise;\n\n    const model = t.tModel(this.apiClient, params.model);\n    const setup = {model};\n    const clientMessage = {setup};\n    conn.send(JSON.stringify(clientMessage));\n\n    return new LiveMusicSession(conn, this.apiClient);\n  }\n}\n\n/**\n   Represents a connection to the API.\n\n   @experimental\n  */\nexport class LiveMusicSession {\n  constructor(\n    readonly conn: WebSocket,\n    private readonly apiClient: ApiClient,\n  ) {}\n\n  /**\n    Sets inputs to steer music generation. Updates the session's current\n    weighted prompts.\n\n    @param params - Contains one property, `weightedPrompts`.\n\n      - `weightedPrompts` to send to the model; weights are normalized to\n        sum to 1.0.\n\n    @experimental\n   */\n  async setWeightedPrompts(\n    params: types.LiveMusicSetWeightedPromptsParameters,\n  ) {\n    if (\n      !params.weightedPrompts ||\n      Object.keys(params.weightedPrompts).length === 0\n    ) {\n      throw new Error(\n        'Weighted prompts must be set and contain at least one entry.',\n      );\n    }\n    const clientContent =\n      converters.liveMusicSetWeightedPromptsParametersToMldev(params);\n    this.conn.send(JSON.stringify({clientContent}));\n  }\n\n  /**\n    Sets a configuration to the model. Updates the session's current\n    music generation config.\n\n    @param params - Contains one property, `musicGenerationConfig`.\n\n      - `musicGenerationConfig` to set in the model. Passing an empty or\n    undefined config to the model will reset the config to defaults.\n\n    @experimental\n   */\n  async setMusicGenerationConfig(params: types.LiveMusicSetConfigParameters) {\n    if (!params.musicGenerationConfig) {\n      params.musicGenerationConfig = {};\n    }\n    const setConfigParameters =\n      converters.liveMusicSetConfigParametersToMldev(params);\n    this.conn.send(JSON.stringify(setConfigParameters));\n  }\n\n  private sendPlaybackControl(playbackControl: types.LiveMusicPlaybackControl) {\n    const clientMessage = {playbackControl};\n    this.conn.send(JSON.stringify(clientMessage));\n  }\n\n  /**\n   * Start the music stream.\n   *\n   * @experimental\n   */\n  play() {\n    this.sendPlaybackControl(types.LiveMusicPlaybackControl.PLAY);\n  }\n\n  /**\n   * Temporarily halt the music stream. Use `play` to resume from the current\n   * position.\n   *\n   * @experimental\n   */\n  pause() {\n    this.sendPlaybackControl(types.LiveMusicPlaybackControl.PAUSE);\n  }\n\n  /**\n   * Stop the music stream and reset the state. Retains the current prompts\n   * and config.\n   *\n   * @experimental\n   */\n  stop() {\n    this.sendPlaybackControl(types.LiveMusicPlaybackControl.STOP);\n  }\n\n  /**\n   * Resets the context of the music generation without stopping it.\n   * Retains the current prompts and config.\n   *\n   * @experimental\n   */\n  resetContext() {\n    this.sendPlaybackControl(types.LiveMusicPlaybackControl.RESET_CONTEXT);\n  }\n\n  /**\n     Terminates the WebSocket connection.\n\n     @experimental\n   */\n  close() {\n    this.conn.close();\n  }\n}\n\n// Converts an headers object to a \"map\" object as expected by the WebSocket\n// constructor. We use this as the Auth interface works with Headers objects\n// while the WebSocket constructor takes a map.\nfunction headersToMap(headers: Headers): Record<string, string> {\n  const headerMap: Record<string, string> = {};\n  headers.forEach((value, key) => {\n    headerMap[key] = value;\n  });\n  return headerMap;\n}\n\n// Converts a \"map\" object to a headers object. We use this as the Auth\n// interface works with Headers objects while the API client default headers\n// returns a map.\nfunction mapToHeaders(map: Record<string, string>): Headers {\n  const headers = new Headers();\n  for (const [key, value] of Object.entries(map)) {\n    headers.append(key, value);\n  }\n  return headers;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n/**\n * Live client.\n *\n * @experimental\n */\n\nimport {ApiClient} from './_api_client.js';\nimport {Auth} from './_auth.js';\nimport * as t from './_transformers.js';\nimport {WebSocket, WebSocketCallbacks, WebSocketFactory} from './_websocket.js';\nimport * as converters from './converters/_live_converters.js';\nimport {contentToMldev} from './converters/_models_converters.js';\nimport {hasMcpToolUsage, setMcpUsageHeader} from './mcp/_mcp.js';\nimport {LiveMusic} from './music.js';\nimport * as types from './types.js';\n\nconst FUNCTION_RESPONSE_REQUIRES_ID =\n  'FunctionResponse request must have an `id` field from the response of a ToolCall.FunctionalCalls in Google AI.';\n\n/**\n * Handles incoming messages from the WebSocket.\n *\n * @remarks\n * This function is responsible for parsing incoming messages, transforming them\n * into LiveServerMessages, and then calling the onmessage callback. Note that\n * the first message which is received from the server is a setupComplete\n * message.\n *\n * @param apiClient The ApiClient instance.\n * @param onmessage The user-provided onmessage callback (if any).\n * @param event The MessageEvent from the WebSocket.\n */\nasync function handleWebSocketMessage(\n  apiClient: ApiClient,\n  onmessage: (msg: types.LiveServerMessage) => void,\n  event: MessageEvent,\n): Promise<void> {\n  const serverMessage: types.LiveServerMessage = new types.LiveServerMessage();\n  let jsonData: string;\n  if (event.data instanceof Blob) {\n    jsonData = await event.data.text();\n  } else if (event.data instanceof ArrayBuffer) {\n    jsonData = new TextDecoder().decode(event.data);\n  } else {\n    jsonData = event.data;\n  }\n\n  const data = JSON.parse(jsonData) as types.LiveServerMessage;\n\n  if (apiClient.isVertexAI()) {\n    const resp = converters.liveServerMessageFromVertex(data);\n    Object.assign(serverMessage, resp);\n  } else {\n    const resp = data;\n    Object.assign(serverMessage, resp);\n  }\n\n  onmessage(serverMessage);\n}\n\n/**\n   Live class encapsulates the configuration for live interaction with the\n   Generative Language API. It embeds ApiClient for general API settings.\n\n   @experimental\n  */\nexport class Live {\n  public readonly music: LiveMusic;\n\n  constructor(\n    private readonly apiClient: ApiClient,\n    private readonly auth: Auth,\n    private readonly webSocketFactory: WebSocketFactory,\n  ) {\n    this.music = new LiveMusic(\n      this.apiClient,\n      this.auth,\n      this.webSocketFactory,\n    );\n  }\n\n  /**\n     Establishes a connection to the specified model with the given\n     configuration and returns a Session object representing that connection.\n\n     @experimental Built-in MCP support is an experimental feature, may change in\n     future versions.\n\n     @remarks\n\n     @param params - The parameters for establishing a connection to the model.\n     @return A live session.\n\n     @example\n     ```ts\n     let model: string;\n     if (GOOGLE_GENAI_USE_VERTEXAI) {\n       model = 'gemini-2.0-flash-live-preview-04-09';\n     } else {\n       model = 'gemini-live-2.5-flash-preview';\n     }\n     const session = await ai.live.connect({\n       model: model,\n       config: {\n         responseModalities: [Modality.AUDIO],\n       },\n       callbacks: {\n         onopen: () => {\n           console.log('Connected to the socket.');\n         },\n         onmessage: (e: MessageEvent) => {\n           console.log('Received message from the server: %s\\n', debug(e.data));\n         },\n         onerror: (e: ErrorEvent) => {\n           console.log('Error occurred: %s\\n', debug(e.error));\n         },\n         onclose: (e: CloseEvent) => {\n           console.log('Connection closed.');\n         },\n       },\n     });\n     ```\n    */\n  async connect(params: types.LiveConnectParameters): Promise<Session> {\n    // TODO: b/404946746 - Support per request HTTP options.\n    if (params.config && params.config.httpOptions) {\n      throw new Error(\n        'The Live module does not support httpOptions at request-level in' +\n          ' LiveConnectConfig yet. Please use the client-level httpOptions' +\n          ' configuration instead.',\n      );\n    }\n    const websocketBaseUrl = this.apiClient.getWebsocketBaseUrl();\n    const apiVersion = this.apiClient.getApiVersion();\n    let url: string;\n    const clientHeaders = this.apiClient.getHeaders();\n    if (\n      params.config &&\n      params.config.tools &&\n      hasMcpToolUsage(params.config.tools)\n    ) {\n      setMcpUsageHeader(clientHeaders);\n    }\n    const headers = mapToHeaders(clientHeaders);\n    if (this.apiClient.isVertexAI()) {\n      const project = this.apiClient.getProject();\n      const location = this.apiClient.getLocation();\n      const apiKey = this.apiClient.getApiKey();\n      const hasStandardAuth = (!!project && !!location) || !!apiKey;\n\n      if (this.apiClient.getCustomBaseUrl() && !hasStandardAuth) {\n        // Custom base URL without standard auth (e.g., proxy).\n        url = websocketBaseUrl;\n        // Auth headers are assumed to be in `clientHeaders` from httpOptions.\n      } else {\n        url = `${websocketBaseUrl}/ws/google.cloud.aiplatform.${apiVersion}.LlmBidiService/BidiGenerateContent`;\n        await this.auth.addAuthHeaders(headers, url);\n      }\n    } else {\n      const apiKey = this.apiClient.getApiKey();\n\n      let method = 'BidiGenerateContent';\n      let keyName = 'key';\n      if (apiKey?.startsWith('auth_tokens/')) {\n        console.warn(\n          'Warning: Ephemeral token support is experimental and may change in future versions.',\n        );\n        if (apiVersion !== 'v1alpha') {\n          console.warn(\n            \"Warning: The SDK's ephemeral token support is in v1alpha only. Please use const ai = new GoogleGenAI({apiKey: token.name, httpOptions: { apiVersion: 'v1alpha' }}); before session connection.\",\n          );\n        }\n        method = 'BidiGenerateContentConstrained';\n        keyName = 'access_token';\n      }\n\n      url = `${websocketBaseUrl}/ws/google.ai.generativelanguage.${\n        apiVersion\n      }.GenerativeService.${method}?${keyName}=${apiKey}`;\n    }\n\n    let onopenResolve: (value: unknown) => void = () => {};\n    const onopenPromise = new Promise((resolve: (value: unknown) => void) => {\n      onopenResolve = resolve;\n    });\n\n    const callbacks: types.LiveCallbacks = params.callbacks;\n\n    const onopenAwaitedCallback = function () {\n      callbacks?.onopen?.();\n      onopenResolve({});\n    };\n\n    const apiClient = this.apiClient;\n    let sessionResolved = false;\n    const messageQueue: types.LiveServerMessage[] = [];\n    let setupCompleteResolve: (value: unknown) => void = () => {};\n    const setupCompletePromise = new Promise((resolve) => {\n      setupCompleteResolve = resolve;\n    });\n\n    const websocketCallbacks: WebSocketCallbacks = {\n      onopen: onopenAwaitedCallback,\n      onmessage: (event: MessageEvent) => {\n        void handleWebSocketMessage(\n          apiClient,\n          (msg: types.LiveServerMessage) => {\n            if (msg.setupComplete && !session.setupComplete) {\n              session.setupComplete = msg.setupComplete;\n              setupCompleteResolve({});\n            }\n            if (sessionResolved) {\n              callbacks.onmessage(msg);\n            } else {\n              messageQueue.push(msg);\n            }\n          },\n          event,\n        );\n      },\n      onerror:\n        callbacks?.onerror ??\n        function (e: ErrorEvent) {\n          void e;\n        },\n      onclose:\n        callbacks?.onclose ??\n        function (e: CloseEvent) {\n          void e;\n        },\n    };\n\n    const conn = this.webSocketFactory.create(\n      url,\n      headersToMap(headers),\n      websocketCallbacks,\n    );\n    conn.connect();\n    // Wait for the websocket to open before sending requests.\n    await onopenPromise;\n\n    let transformedModel = t.tModel(this.apiClient, params.model);\n    if (\n      this.apiClient.isVertexAI() &&\n      transformedModel.startsWith('publishers/')\n    ) {\n      const project = this.apiClient.getProject();\n      const location = this.apiClient.getLocation();\n      if (project && location) {\n        transformedModel =\n          `projects/${project}/locations/${location}/` + transformedModel;\n      }\n    }\n\n    let clientMessage: Record<string, unknown> = {};\n\n    if (\n      this.apiClient.isVertexAI() &&\n      params.config?.responseModalities === undefined\n    ) {\n      // Set default to AUDIO to align with MLDev API.\n      if (params.config === undefined) {\n        params.config = {responseModalities: [types.Modality.AUDIO]};\n      } else {\n        params.config.responseModalities = [types.Modality.AUDIO];\n      }\n    }\n    if (params.config?.generationConfig) {\n      // Raise deprecation warning for generationConfig.\n      console.warn(\n        'Setting `LiveConnectConfig.generation_config` is deprecated, please set the fields on `LiveConnectConfig` directly. This will become an error in a future version (not before Q3 2025).',\n      );\n    }\n    const inputTools = params.config?.tools ?? [];\n    const convertedTools: types.Tool[] = [];\n    for (const tool of inputTools) {\n      if (this.isCallableTool(tool)) {\n        const callableTool = tool as types.CallableTool;\n        convertedTools.push(await callableTool.tool());\n      } else {\n        convertedTools.push(tool as types.Tool);\n      }\n    }\n    if (convertedTools.length > 0) {\n      params.config!.tools = convertedTools;\n    }\n    const liveConnectParameters: types.LiveConnectParameters = {\n      model: transformedModel,\n      config: params.config,\n      callbacks: params.callbacks,\n    };\n    if (this.apiClient.isVertexAI()) {\n      clientMessage = converters.liveConnectParametersToVertex(\n        this.apiClient,\n        liveConnectParameters,\n      );\n    } else {\n      clientMessage = converters.liveConnectParametersToMldev(\n        this.apiClient,\n        liveConnectParameters,\n      );\n    }\n    delete clientMessage['config'];\n    const session = new Session(conn, this.apiClient);\n    conn.send(JSON.stringify(clientMessage));\n    await setupCompletePromise;\n    sessionResolved = true;\n    for (const msg of messageQueue) {\n      callbacks.onmessage(msg);\n    }\n    return session;\n  }\n\n  // TODO: b/416041229 - Abstract this method to a common place.\n  private isCallableTool(tool: types.ToolUnion): boolean {\n    return 'callTool' in tool && typeof tool.callTool === 'function';\n  }\n}\n\nconst defaultLiveSendClientContentParamerters: types.LiveSendClientContentParameters =\n  {\n    turnComplete: true,\n  };\n\n/**\n   Represents a connection to the API.\n\n   @experimental\n  */\nexport class Session {\n  setupComplete?: types.LiveServerSetupComplete;\n\n  constructor(\n    readonly conn: WebSocket,\n    private readonly apiClient: ApiClient,\n  ) {}\n\n  private tLiveClientContent(\n    apiClient: ApiClient,\n    params: types.LiveSendClientContentParameters,\n  ): types.LiveClientMessage {\n    if (params.turns !== null && params.turns !== undefined) {\n      let contents: types.Content[] = [];\n      try {\n        contents = t.tContents(params.turns as types.ContentListUnion);\n        if (!apiClient.isVertexAI()) {\n          contents = contents.map((item) => contentToMldev(item));\n        }\n      } catch {\n        throw new Error(\n          `Failed to parse client content \"turns\", type: '${typeof params.turns}'`,\n        );\n      }\n      return {\n        clientContent: {turns: contents, turnComplete: params.turnComplete},\n      };\n    }\n\n    return {\n      clientContent: {turnComplete: params.turnComplete},\n    };\n  }\n\n  private tLiveClienttToolResponse(\n    apiClient: ApiClient,\n    params: types.LiveSendToolResponseParameters,\n  ): types.LiveClientMessage {\n    let functionResponses: types.FunctionResponse[] = [];\n\n    if (params.functionResponses == null) {\n      throw new Error('functionResponses is required.');\n    }\n\n    if (!Array.isArray(params.functionResponses)) {\n      functionResponses = [params.functionResponses];\n    } else {\n      functionResponses = params.functionResponses;\n    }\n\n    if (functionResponses.length === 0) {\n      throw new Error('functionResponses is required.');\n    }\n\n    for (const functionResponse of functionResponses) {\n      if (\n        typeof functionResponse !== 'object' ||\n        functionResponse === null ||\n        !('name' in functionResponse) ||\n        !('response' in functionResponse)\n      ) {\n        throw new Error(\n          `Could not parse function response, type '${typeof functionResponse}'.`,\n        );\n      }\n      if (!apiClient.isVertexAI() && !('id' in functionResponse)) {\n        throw new Error(FUNCTION_RESPONSE_REQUIRES_ID);\n      }\n    }\n\n    const clientMessage: types.LiveClientMessage = {\n      toolResponse: {'functionResponses': functionResponses},\n    };\n    return clientMessage;\n  }\n\n  /**\n    Send a message over the established connection.\n\n    @param params - Contains two **optional** properties, `turns` and\n        `turnComplete`.\n\n      - `turns` will be converted to a `Content[]`\n      - `turnComplete: true` [default] indicates that you are done sending\n        content and expect a response. If `turnComplete: false`, the server\n        will wait for additional messages before starting generation.\n\n    @experimental\n\n    @remarks\n    There are two ways to send messages to the live API:\n    `sendClientContent` and `sendRealtimeInput`.\n\n    `sendClientContent` messages are added to the model context **in order**.\n    Having a conversation using `sendClientContent` messages is roughly\n    equivalent to using the `Chat.sendMessageStream`, except that the state of\n    the `chat` history is stored on the API server instead of locally.\n\n    Because of `sendClientContent`'s order guarantee, the model cannot respons\n    as quickly to `sendClientContent` messages as to `sendRealtimeInput`\n    messages. This makes the biggest difference when sending objects that have\n    significant preprocessing time (typically images).\n\n    The `sendClientContent` message sends a `Content[]`\n    which has more options than the `Blob` sent by `sendRealtimeInput`.\n\n    So the main use-cases for `sendClientContent` over `sendRealtimeInput` are:\n\n    - Sending anything that can't be represented as a `Blob` (text,\n    `sendClientContent({turns=\"Hello?\"}`)).\n    - Managing turns when not using audio input and voice activity detection.\n      (`sendClientContent({turnComplete:true})` or the short form\n    `sendClientContent()`)\n    - Prefilling a conversation context\n      ```\n      sendClientContent({\n          turns: [\n            Content({role:user, parts:...}),\n            Content({role:user, parts:...}),\n            ...\n          ]\n      })\n      ```\n    @experimental\n   */\n  sendClientContent(params: types.LiveSendClientContentParameters) {\n    params = {\n      ...defaultLiveSendClientContentParamerters,\n      ...params,\n    };\n\n    const clientMessage: types.LiveClientMessage = this.tLiveClientContent(\n      this.apiClient,\n      params,\n    );\n    this.conn.send(JSON.stringify(clientMessage));\n  }\n\n  /**\n    Send a realtime message over the established connection.\n\n    @param params - Contains one property, `media`.\n\n      - `media` will be converted to a `Blob`\n\n    @experimental\n\n    @remarks\n    Use `sendRealtimeInput` for realtime audio chunks and video frames (images).\n\n    With `sendRealtimeInput` the api will respond to audio automatically\n    based on voice activity detection (VAD).\n\n    `sendRealtimeInput` is optimized for responsivness at the expense of\n    deterministic ordering guarantees. Audio and video tokens are to the\n    context when they become available.\n\n    Note: The Call signature expects a `Blob` object, but only a subset\n    of audio and image mimetypes are allowed.\n   */\n  sendRealtimeInput(params: types.LiveSendRealtimeInputParameters) {\n    let clientMessage: types.LiveClientMessage = {};\n\n    if (this.apiClient.isVertexAI()) {\n      clientMessage = {\n        'realtimeInput':\n          converters.liveSendRealtimeInputParametersToVertex(params),\n      };\n    } else {\n      clientMessage = {\n        'realtimeInput':\n          converters.liveSendRealtimeInputParametersToMldev(params),\n      };\n    }\n    this.conn.send(JSON.stringify(clientMessage));\n  }\n\n  /**\n    Send a function response message over the established connection.\n\n    @param params - Contains property `functionResponses`.\n\n      - `functionResponses` will be converted to a `functionResponses[]`\n\n    @remarks\n    Use `sendFunctionResponse` to reply to `LiveServerToolCall` from the server.\n\n    Use {@link types.LiveConnectConfig#tools} to configure the callable functions.\n\n    @experimental\n   */\n  sendToolResponse(params: types.LiveSendToolResponseParameters) {\n    if (params.functionResponses == null) {\n      throw new Error('Tool response parameters are required.');\n    }\n\n    const clientMessage: types.LiveClientMessage =\n      this.tLiveClienttToolResponse(this.apiClient, params);\n    this.conn.send(JSON.stringify(clientMessage));\n  }\n\n  /**\n     Terminates the WebSocket connection.\n\n     @experimental\n\n     @example\n     ```ts\n     let model: string;\n     if (GOOGLE_GENAI_USE_VERTEXAI) {\n       model = 'gemini-2.0-flash-live-preview-04-09';\n     } else {\n       model = 'gemini-live-2.5-flash-preview';\n     }\n     const session = await ai.live.connect({\n       model: model,\n       config: {\n         responseModalities: [Modality.AUDIO],\n       }\n     });\n\n     session.close();\n     ```\n   */\n  close() {\n    this.conn.close();\n  }\n}\n\n// Converts an headers object to a \"map\" object as expected by the WebSocket\n// constructor. We use this as the Auth interface works with Headers objects\n// while the WebSocket constructor takes a map.\nfunction headersToMap(headers: Headers): Record<string, string> {\n  const headerMap: Record<string, string> = {};\n  headers.forEach((value, key) => {\n    headerMap[key] = value;\n  });\n  return headerMap;\n}\n\n// Converts a \"map\" object to a headers object. We use this as the Auth\n// interface works with Headers objects while the API client default headers\n// returns a map.\nfunction mapToHeaders(map: Record<string, string>): Headers {\n  const headers = new Headers();\n  for (const [key, value] of Object.entries(map)) {\n    headers.append(key, value);\n  }\n  return headers;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport * as types from './types.js';\n\nexport const DEFAULT_MAX_REMOTE_CALLS = 10;\n\n/** Returns whether automatic function calling is disabled. */\nexport function shouldDisableAfc(\n  config: types.GenerateContentConfig | undefined,\n): boolean {\n  if (config?.automaticFunctionCalling?.disable) {\n    return true;\n  }\n\n  let callableToolsPresent = false;\n  for (const tool of config?.tools ?? []) {\n    if (isCallableTool(tool)) {\n      callableToolsPresent = true;\n      break;\n    }\n  }\n  if (!callableToolsPresent) {\n    return true;\n  }\n\n  const maxCalls = config?.automaticFunctionCalling?.maximumRemoteCalls;\n  if (\n    (maxCalls && (maxCalls < 0 || !Number.isInteger(maxCalls))) ||\n    maxCalls == 0\n  ) {\n    console.warn(\n      'Invalid maximumRemoteCalls value provided for automatic function calling. Disabled automatic function calling. Please provide a valid integer value greater than 0. maximumRemoteCalls provided:',\n      maxCalls,\n    );\n    return true;\n  }\n  return false;\n}\n\nexport function isCallableTool(tool: types.ToolUnion): boolean {\n  return 'callTool' in tool && typeof tool.callTool === 'function';\n}\n\n// Checks whether the list of tools contains any CallableTools. Will return true\n// if there is at least one CallableTool.\nexport function hasCallableTools(\n  params: types.GenerateContentParameters,\n): boolean {\n  return params.config?.tools?.some((tool) => isCallableTool(tool)) ?? false;\n}\n\n/**\n * Returns the indexes of the tools that are not compatible with AFC.\n */\nexport function findAfcIncompatibleToolIndexes(\n  params?: types.GenerateContentParameters,\n): number[] {\n  // Use number[] for an array of numbers in TypeScript\n  const afcIncompatibleToolIndexes: number[] = [];\n  if (!params?.config?.tools) {\n    return afcIncompatibleToolIndexes;\n  }\n  params.config.tools.forEach((tool, index) => {\n    if (isCallableTool(tool)) {\n      return;\n    }\n    const geminiTool = tool as types.Tool;\n    if (\n      geminiTool.functionDeclarations &&\n      geminiTool.functionDeclarations.length > 0\n    ) {\n      afcIncompatibleToolIndexes.push(index);\n    }\n  });\n\n  return afcIncompatibleToolIndexes;\n}\n\n/**\n * Returns whether to append automatic function calling history to the\n * response.\n */\nexport function shouldAppendAfcHistory(\n  config: types.GenerateContentConfig | undefined,\n): boolean {\n  return !config?.automaticFunctionCalling?.ignoreCallHistory;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport * as afc from './_afc.js';\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as _internal_types from './_internal_types.js';\nimport {tContents, tIsVertexEmbedContentModel} from './_transformers.js';\nimport * as converters from './converters/_models_converters.js';\nimport * as mcp from './mcp/_mcp.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Models extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Calculates embeddings for the given contents.\n   *\n   * @param params - The parameters for embedding contents.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.embedContent({\n   *  model: 'text-embedding-004',\n   *  contents: [\n   *    'What is your name?',\n   *    'What is your favorite color?',\n   *  ],\n   *  config: {\n   *    outputDimensionality: 64,\n   *  },\n   * });\n   * console.log(response);\n   * ```\n   */\n  embedContent = async (\n    params: types.EmbedContentParameters,\n  ): Promise<types.EmbedContentResponse> => {\n    if (!this.apiClient.isVertexAI()) {\n      const isGeminiEmbedding2Model =\n        params.model.includes('gemini-embedding-2');\n      if (isGeminiEmbedding2Model) {\n        params.contents = tContents(params.contents);\n      }\n      return await this.embedContentInternal(params);\n    }\n    const isVertexEmbedContentModel =\n      (params.model.includes('gemini') &&\n        params.model !== 'gemini-embedding-001') ||\n      params.model.includes('maas');\n\n    if (isVertexEmbedContentModel) {\n      const contents = tContents(params.contents);\n      if (contents.length > 1) {\n        throw new Error(\n          'The embedContent API for this model only supports one content at a time.',\n        );\n      }\n      const paramsPrivate: types.EmbedContentParametersPrivate = {\n        ...params,\n        content: contents[0],\n        embeddingApiType: types.EmbeddingApiType.EMBED_CONTENT,\n      };\n      return await this.embedContentInternal(paramsPrivate);\n    } else {\n      const paramsPrivate: types.EmbedContentParametersPrivate = {\n        ...params,\n        embeddingApiType: types.EmbeddingApiType.PREDICT,\n      };\n      return await this.embedContentInternal(paramsPrivate);\n    }\n  };\n\n  /**\n   * Makes an API request to generate content with a given model.\n   *\n   * For the `model` parameter, supported formats for Gemini Enterprise Agent Platform API include:\n   * - The Gemini model ID, for example: 'gemini-2.0-flash'\n   * - The full resource name starts with 'projects/', for example:\n   *  'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-2.0-flash'\n   * - The partial resource name with 'publishers/', for example:\n   *  'publishers/google/models/gemini-2.0-flash' or\n   *  'publishers/meta/models/llama-3.1-405b-instruct-maas'\n   * - `/` separated publisher and model name, for example:\n   * 'google/gemini-2.0-flash' or 'meta/llama-3.1-405b-instruct-maas'\n   *\n   * For the `model` parameter, supported formats for Gemini API include:\n   * - The Gemini model ID, for example: 'gemini-2.0-flash'\n   * - The model name starts with 'models/', for example:\n   *  'models/gemini-2.0-flash'\n   * - For tuned models, the model name starts with 'tunedModels/',\n   * for example:\n   * 'tunedModels/1234567890123456789'\n   *\n   * Some models support multimodal input and output.\n   *\n   * @param params - The parameters for generating content.\n   * @return The response from generating content.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.generateContent({\n   *   model: 'gemini-2.0-flash',\n   *   contents: 'why is the sky blue?',\n   *   config: {\n   *     candidateCount: 2,\n   *   }\n   * });\n   * console.log(response);\n   * ```\n   */\n  generateContent = async (\n    params: types.GenerateContentParameters,\n  ): Promise<types.GenerateContentResponse> => {\n    const transformedParams = await this.processParamsMaybeAddMcpUsage(params);\n    this.maybeMoveToResponseJsonSchema(params);\n    if (!afc.hasCallableTools(params) || afc.shouldDisableAfc(params.config)) {\n      return await this.generateContentInternal(transformedParams);\n    }\n\n    const incompatibleToolIndexes = afc.findAfcIncompatibleToolIndexes(params);\n    if (incompatibleToolIndexes.length > 0) {\n      const formattedIndexes = incompatibleToolIndexes\n        .map((index: number) => `tools[${index}]`)\n        .join(', ');\n      throw new Error(\n        `Automatic function calling with CallableTools (or MCP objects) and basic FunctionDeclarations is not yet supported. Incompatible tools found at ${\n          formattedIndexes\n        }.`,\n      );\n    }\n\n    let response: types.GenerateContentResponse;\n    let functionResponseContent: types.Content;\n    const automaticFunctionCallingHistory: types.Content[] = tContents(\n      transformedParams.contents,\n    );\n    const maxRemoteCalls =\n      transformedParams.config?.automaticFunctionCalling?.maximumRemoteCalls ??\n      afc.DEFAULT_MAX_REMOTE_CALLS;\n    let remoteCalls = 0;\n    while (remoteCalls < maxRemoteCalls) {\n      response = await this.generateContentInternal(transformedParams);\n      if (!response.functionCalls || response.functionCalls!.length === 0) {\n        break;\n      }\n\n      const responseContent: types.Content = response.candidates![0].content!;\n      const functionResponseParts: types.Part[] = [];\n      for (const tool of params.config?.tools ?? []) {\n        if (afc.isCallableTool(tool)) {\n          const callableTool = tool as types.CallableTool;\n          const parts = await callableTool.callTool(response.functionCalls!);\n          functionResponseParts.push(...parts);\n        }\n      }\n\n      remoteCalls++;\n\n      functionResponseContent = {\n        role: 'user',\n        parts: functionResponseParts,\n      };\n\n      transformedParams.contents = tContents(transformedParams.contents);\n      (transformedParams.contents as types.Content[]).push(responseContent);\n      (transformedParams.contents as types.Content[]).push(\n        functionResponseContent,\n      );\n\n      if (afc.shouldAppendAfcHistory(transformedParams.config)) {\n        automaticFunctionCallingHistory.push(responseContent);\n        automaticFunctionCallingHistory.push(functionResponseContent);\n      }\n    }\n    if (afc.shouldAppendAfcHistory(transformedParams.config)) {\n      response!.automaticFunctionCallingHistory =\n        automaticFunctionCallingHistory;\n    }\n    return response!;\n  };\n\n  /**\n   * This logic is needed for GenerateContentConfig only.\n   * Previously we made GenerateContentConfig.responseSchema field to accept\n   * unknown. Since v1.9.0, we switch to use backend JSON schema support.\n   * To maintain backward compatibility, we move the data that was treated as\n   * JSON schema from the responseSchema field to the responseJsonSchema field.\n   */\n  private maybeMoveToResponseJsonSchema(\n    params: types.GenerateContentParameters,\n  ): void {\n    if (params.config && params.config.responseSchema) {\n      if (!params.config.responseJsonSchema) {\n        if (Object.keys(params.config.responseSchema).includes('$schema')) {\n          params.config.responseJsonSchema = params.config.responseSchema;\n          delete params.config.responseSchema;\n        }\n      }\n    }\n    return;\n  }\n\n  /**\n   * Makes an API request to generate content with a given model and yields the\n   * response in chunks.\n   *\n   * For the `model` parameter, supported formats for Gemini Enterprise Agent Platform API include:\n   * - The Gemini model ID, for example: 'gemini-2.0-flash'\n   * - The full resource name starts with 'projects/', for example:\n   *  'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-2.0-flash'\n   * - The partial resource name with 'publishers/', for example:\n   *  'publishers/google/models/gemini-2.0-flash' or\n   *  'publishers/meta/models/llama-3.1-405b-instruct-maas'\n   * - `/` separated publisher and model name, for example:\n   * 'google/gemini-2.0-flash' or 'meta/llama-3.1-405b-instruct-maas'\n   *\n   * For the `model` parameter, supported formats for Gemini API include:\n   * - The Gemini model ID, for example: 'gemini-2.0-flash'\n   * - The model name starts with 'models/', for example:\n   *  'models/gemini-2.0-flash'\n   * - For tuned models, the model name starts with 'tunedModels/',\n   * for example:\n   *  'tunedModels/1234567890123456789'\n   *\n   * Some models support multimodal input and output.\n   *\n   * @param params - The parameters for generating content with streaming response.\n   * @return The response from generating content.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.generateContentStream({\n   *   model: 'gemini-2.0-flash',\n   *   contents: 'why is the sky blue?',\n   *   config: {\n   *     maxOutputTokens: 200,\n   *   }\n   * });\n   * for await (const chunk of response) {\n   *   console.log(chunk);\n   * }\n   * ```\n   */\n  generateContentStream = async (\n    params: types.GenerateContentParameters,\n  ): Promise<AsyncGenerator<types.GenerateContentResponse>> => {\n    this.maybeMoveToResponseJsonSchema(params);\n    if (afc.shouldDisableAfc(params.config)) {\n      const transformedParams =\n        await this.processParamsMaybeAddMcpUsage(params);\n      return await this.generateContentStreamInternal(transformedParams);\n    }\n    const incompatibleToolIndexes = afc.findAfcIncompatibleToolIndexes(params);\n    if (incompatibleToolIndexes.length > 0) {\n      const formattedIndexes = incompatibleToolIndexes\n        .map((index: number) => `tools[${index}]`)\n        .join(', ');\n      throw new Error(\n        `Incompatible tools found at ${\n          formattedIndexes\n        }. Automatic function calling with CallableTools (or MCP objects) and basic FunctionDeclarations\" is not yet supported.`,\n      );\n    }\n\n    // With tool compatibility confirmed, validate that the configuration are\n    // compatible with each other and raise an error if invalid.\n    const streamFunctionCall =\n      params?.config?.toolConfig?.functionCallingConfig\n        ?.streamFunctionCallArguments;\n    const disableAfc = params?.config?.automaticFunctionCalling?.disable;\n\n    if (streamFunctionCall && !disableAfc) {\n      throw new Error(\n        \"Running in streaming mode with 'streamFunctionCallArguments' enabled, \" +\n          'this feature is not compatible with automatic function calling (AFC). ' +\n          \"Please set 'config.automaticFunctionCalling.disable' to true to disable AFC \" +\n          \"or leave 'config.toolConfig.functionCallingConfig.streamFunctionCallArguments' \" +\n          'to be undefined or set to false to disable streaming function call arguments feature.',\n      );\n    }\n\n    return await this.processAfcStream(params);\n  };\n\n  /**\n   * Transforms the CallableTools in the parameters to be simply Tools, it\n   * copies the params into a new object and replaces the tools, it does not\n   * modify the original params. Also sets the MCP usage header if there are\n   * MCP tools in the parameters.\n   */\n  private async processParamsMaybeAddMcpUsage(\n    params: types.GenerateContentParameters,\n  ): Promise<types.GenerateContentParameters> {\n    const tools = params.config?.tools;\n    if (!tools) {\n      return params;\n    }\n    const transformedTools = await Promise.all(\n      tools.map(async (tool) => {\n        if (afc.isCallableTool(tool)) {\n          const callableTool = tool as types.CallableTool;\n          return await callableTool.tool();\n        }\n        return tool;\n      }),\n    );\n    const newParams: types.GenerateContentParameters = {\n      model: params.model,\n      contents: params.contents,\n      config: {\n        ...params.config,\n        tools: transformedTools,\n      },\n    };\n    newParams.config!.tools = transformedTools;\n\n    if (\n      params.config &&\n      params.config.tools &&\n      mcp.hasMcpToolUsage(params.config.tools)\n    ) {\n      const headers = params.config.httpOptions?.headers ?? {};\n      let newHeaders = {...headers};\n      if (Object.keys(newHeaders).length === 0) {\n        newHeaders = this.apiClient.getDefaultHeaders();\n      }\n      mcp.setMcpUsageHeader(newHeaders);\n      newParams.config!.httpOptions = {\n        ...params.config.httpOptions,\n        headers: newHeaders,\n      };\n    }\n    return newParams;\n  }\n\n  private async initAfcToolsMap(\n    params: types.GenerateContentParameters,\n  ): Promise<Map<string, types.CallableTool>> {\n    const afcTools: Map<string, types.CallableTool> = new Map();\n    for (const tool of params.config?.tools ?? []) {\n      if (afc.isCallableTool(tool)) {\n        const callableTool = tool as types.CallableTool;\n        const toolDeclaration = await callableTool.tool();\n        for (const declaration of toolDeclaration.functionDeclarations ?? []) {\n          if (!declaration.name) {\n            throw new Error('Function declaration name is required.');\n          }\n          if (afcTools.has(declaration.name)) {\n            throw new Error(\n              `Duplicate tool declaration name: ${declaration.name}`,\n            );\n          }\n          afcTools.set(declaration.name, callableTool);\n        }\n      }\n    }\n    return afcTools;\n  }\n\n  private async processAfcStream(\n    params: types.GenerateContentParameters,\n  ): Promise<AsyncGenerator<types.GenerateContentResponse>> {\n    const maxRemoteCalls =\n      params.config?.automaticFunctionCalling?.maximumRemoteCalls ??\n      afc.DEFAULT_MAX_REMOTE_CALLS;\n    let wereFunctionsCalled = false;\n    let remoteCallCount = 0;\n    const afcToolsMap = await this.initAfcToolsMap(params);\n    return (async function* (\n      models: Models,\n      afcTools: Map<string, types.CallableTool>,\n      params: types.GenerateContentParameters,\n    ) {\n      while (remoteCallCount < maxRemoteCalls) {\n        if (wereFunctionsCalled) {\n          remoteCallCount++;\n          wereFunctionsCalled = false;\n        }\n        const transformedParams =\n          await models.processParamsMaybeAddMcpUsage(params);\n        const response =\n          await models.generateContentStreamInternal(transformedParams);\n\n        const functionResponses: types.Part[] = [];\n        const responseContents: types.Content[] = [];\n\n        for await (const chunk of response) {\n          yield chunk;\n          if (chunk.candidates && chunk.candidates[0]?.content) {\n            responseContents.push(chunk.candidates[0].content);\n            for (const part of chunk.candidates[0].content.parts ?? []) {\n              if (remoteCallCount < maxRemoteCalls && part.functionCall) {\n                if (!part.functionCall.name) {\n                  throw new Error(\n                    'Function call name was not returned by the model.',\n                  );\n                }\n                if (!afcTools.has(part.functionCall.name)) {\n                  throw new Error(\n                    `Automatic function calling was requested, but not all the tools the model used implement the CallableTool interface. Available tools: ${afcTools.keys()}, missing tool: ${\n                      part.functionCall.name\n                    }`,\n                  );\n                } else {\n                  const responseParts = await afcTools\n                    .get(part.functionCall.name)!\n                    .callTool([part.functionCall]);\n                  functionResponses.push(...responseParts);\n                }\n              }\n            }\n          }\n        }\n\n        if (functionResponses.length > 0) {\n          wereFunctionsCalled = true;\n          const typedResponseChunk = new types.GenerateContentResponse();\n          typedResponseChunk.candidates = [\n            {\n              content: {\n                role: 'user',\n                parts: functionResponses,\n              },\n            },\n          ];\n\n          yield typedResponseChunk;\n\n          const newContents: types.Content[] = [];\n          newContents.push(...responseContents);\n          newContents.push({\n            role: 'user',\n            parts: functionResponses,\n          });\n          const updatedContents = tContents(params.contents).concat(\n            newContents,\n          );\n\n          params.contents = updatedContents;\n        } else {\n          break;\n        }\n      }\n    })(this, afcToolsMap, params);\n  }\n\n  /**\n   * Generates an image based on a text description and configuration.\n   *\n   * @param params - The parameters for generating images.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await client.models.generateImages({\n   *  model: 'imagen-4.0-generate-001',\n   *  prompt: 'Robot holding a red skateboard',\n   *  config: {\n   *    numberOfImages: 1,\n   *    includeRaiReason: true,\n   *  },\n   * });\n   * console.log(response?.generatedImages?.[0]?.image?.imageBytes);\n   * ```\n   */\n  generateImages = async (\n    params: types.GenerateImagesParameters,\n  ): Promise<types.GenerateImagesResponse> => {\n    return await this.generateImagesInternal(params).then((apiResponse) => {\n      let positivePromptSafetyAttributes;\n      const generatedImages = [];\n\n      if (apiResponse?.generatedImages) {\n        for (const generatedImage of apiResponse.generatedImages) {\n          if (\n            generatedImage &&\n            generatedImage?.safetyAttributes &&\n            generatedImage?.safetyAttributes?.contentType === 'Positive Prompt'\n          ) {\n            positivePromptSafetyAttributes = generatedImage?.safetyAttributes;\n          } else {\n            generatedImages.push(generatedImage);\n          }\n        }\n      }\n      let response: types.GenerateImagesResponse;\n\n      if (positivePromptSafetyAttributes) {\n        response = {\n          generatedImages: generatedImages,\n          positivePromptSafetyAttributes: positivePromptSafetyAttributes,\n          sdkHttpResponse: apiResponse.sdkHttpResponse,\n        };\n      } else {\n        response = {\n          generatedImages: generatedImages,\n          sdkHttpResponse: apiResponse.sdkHttpResponse,\n        };\n      }\n      return response;\n    });\n  };\n\n  list = async (\n    params?: types.ListModelsParameters,\n  ): Promise<Pager<types.Model>> => {\n    const defaultConfig: types.ListModelsConfig = {\n      queryBase: true,\n    };\n    const actualConfig: types.ListModelsConfig = {\n      ...defaultConfig,\n      ...params?.config,\n    };\n    const actualParams: types.ListModelsParameters = {\n      config: actualConfig,\n    };\n\n    if (this.apiClient.isVertexAI()) {\n      if (!actualParams.config!.queryBase) {\n        if (actualParams.config?.filter) {\n          throw new Error(\n            'Filtering tuned models list is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n          );\n        } else {\n          actualParams.config!.filter = 'labels.tune-type:*';\n        }\n      }\n    }\n\n    return new Pager<types.Model>(\n      PagedItem.PAGED_ITEM_MODELS,\n      (x: types.ListModelsParameters) => this.listInternal(x),\n      await this.listInternal(actualParams),\n      actualParams,\n    );\n  };\n\n  /**\n   * Edits an image based on a prompt, list of reference images, and configuration.\n   *\n   * @param params - The parameters for editing an image.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await client.models.editImage({\n   *  model: 'imagen-3.0-capability-001',\n   *  prompt: 'Generate an image containing a mug with the product logo [1] visible on the side of the mug.',\n   *  referenceImages: [subjectReferenceImage]\n   *  config: {\n   *    numberOfImages: 1,\n   *    includeRaiReason: true,\n   *  },\n   * });\n   * console.log(response?.generatedImages?.[0]?.image?.imageBytes);\n   * ```\n   */\n  editImage = async (\n    params: types.EditImageParameters,\n  ): Promise<types.EditImageResponse> => {\n    const paramsInternal: _internal_types.EditImageParametersInternal = {\n      model: params.model,\n      prompt: params.prompt,\n      referenceImages: [],\n      config: params.config,\n    };\n    if (params.referenceImages) {\n      if (params.referenceImages) {\n        paramsInternal.referenceImages = params.referenceImages.map((img) =>\n          img.toReferenceImageAPI(),\n        );\n      }\n    }\n    return await this.editImageInternal(paramsInternal);\n  };\n\n  /**\n   * Upscales an image based on an image, upscale factor, and configuration.\n   * Only supported in Gemini Enterprise Agent Platform currently.\n   *\n   * @param params - The parameters for upscaling an image.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await client.models.upscaleImage({\n   *  model: 'imagen-4.0-upscale-preview',\n   *  image: image,\n   *  upscaleFactor: 'x2',\n   *  config: {\n   *    includeRaiReason: true,\n   *  },\n   * });\n   * console.log(response?.generatedImages?.[0]?.image?.imageBytes);\n   * ```\n   */\n  upscaleImage = async (\n    params: types.UpscaleImageParameters,\n  ): Promise<types.UpscaleImageResponse> => {\n    let apiConfig: _internal_types.UpscaleImageAPIConfigInternal = {\n      numberOfImages: 1,\n      mode: 'upscale',\n    };\n\n    if (params.config) {\n      apiConfig = {...apiConfig, ...params.config};\n    }\n\n    const apiParams: _internal_types.UpscaleImageAPIParametersInternal = {\n      model: params.model,\n      image: params.image,\n      upscaleFactor: params.upscaleFactor,\n      config: apiConfig,\n    };\n    return await this.upscaleImageInternal(apiParams);\n  };\n\n  /**\n   *  Generates videos based on a text description and configuration.\n   *\n   * @param params - The parameters for generating videos.\n   * @return A Promise<GenerateVideosOperation> which allows you to track the progress and eventually retrieve the generated videos using the operations.get method.\n   *\n   * @example\n   * ```ts\n   * const operation = await ai.models.generateVideos({\n   *  model: 'veo-2.0-generate-001',\n   *  source: {\n   *    prompt: 'A neon hologram of a cat driving at top speed',\n   *  },\n   *  config: {\n   *    numberOfVideos: 1\n   * });\n   *\n   * while (!operation.done) {\n   *   await new Promise(resolve => setTimeout(resolve, 10000));\n   *   operation = await ai.operations.getVideosOperation({operation: operation});\n   * }\n   *\n   * console.log(operation.response?.generatedVideos?.[0]?.video?.uri);\n   * ```\n   */\n\n  generateVideos = async (\n    params: types.GenerateVideosParameters,\n  ): Promise<types.GenerateVideosOperation> => {\n    if ((params.prompt || params.image || params.video) && params.source) {\n      throw new Error(\n        'Source and prompt/image/video are mutually exclusive. Please only use source.',\n      );\n    }\n    // Gemini API does not support video bytes.\n    if (!this.apiClient.isVertexAI()) {\n      if (params.video?.uri && params.video?.videoBytes) {\n        params.video = {\n          uri: params.video.uri,\n          mimeType: params.video.mimeType,\n        };\n      } else if (\n        params.source?.video?.uri &&\n        params.source?.video?.videoBytes\n      ) {\n        params.source.video = {\n          uri: params.source.video.uri,\n          mimeType: params.source.video.mimeType,\n        };\n      }\n    }\n    return await this.generateVideosInternal(params);\n  };\n\n  private async generateContentInternal(\n    params: types.GenerateContentParameters,\n  ): Promise<types.GenerateContentResponse> {\n    let response: Promise<types.GenerateContentResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.generateContentParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:generateContent',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.GenerateContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.GenerateContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateContentResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.generateContentParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:generateContent',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.GenerateContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.GenerateContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateContentResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  private async generateContentStreamInternal(\n    params: types.GenerateContentParameters,\n  ): Promise<AsyncGenerator<types.GenerateContentResponse>> {\n    let response: Promise<AsyncGenerator<types.HttpResponse>>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.generateContentParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:streamGenerateContent?alt=sse',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      const apiClient = this.apiClient;\n      response = apiClient.requestStream({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'POST',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      }) as Promise<AsyncGenerator<types.HttpResponse>>;\n\n      return response.then(async function* (\n        apiResponse: AsyncGenerator<types.HttpResponse>,\n      ) {\n        for await (const chunk of apiResponse) {\n          const resp = converters.generateContentResponseFromVertex(\n            (await chunk.json()) as types.GenerateContentResponse,\n            params,\n          );\n\n          resp['sdkHttpResponse'] = {\n            headers: chunk.headers,\n          } as types.HttpResponse;\n\n          const typedResp = new types.GenerateContentResponse();\n          Object.assign(typedResp, resp);\n          yield typedResp;\n        }\n      });\n    } else {\n      const body = converters.generateContentParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:streamGenerateContent?alt=sse',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      const apiClient = this.apiClient;\n      response = apiClient.requestStream({\n        path: path,\n        queryParams: queryParams,\n        body: JSON.stringify(body),\n        httpMethod: 'POST',\n        httpOptions: params.config?.httpOptions,\n        abortSignal: params.config?.abortSignal,\n      }) as Promise<AsyncGenerator<types.HttpResponse>>;\n\n      return response.then(async function* (\n        apiResponse: AsyncGenerator<types.HttpResponse>,\n      ) {\n        for await (const chunk of apiResponse) {\n          const resp = converters.generateContentResponseFromMldev(\n            (await chunk.json()) as types.GenerateContentResponse,\n            params,\n          );\n\n          resp['sdkHttpResponse'] = {\n            headers: chunk.headers,\n          } as types.HttpResponse;\n\n          const typedResp = new types.GenerateContentResponse();\n          Object.assign(typedResp, resp);\n          yield typedResp;\n        }\n      });\n    }\n  }\n\n  /**\n   * Calculates embeddings for the given contents. Only text is supported.\n   *\n   * @param params - The parameters for embedding contents.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.embedContent({\n   *  model: 'text-embedding-004',\n   *  contents: [\n   *    'What is your name?',\n   *    'What is your favorite color?',\n   *  ],\n   *  config: {\n   *    outputDimensionality: 64,\n   *  },\n   * });\n   * console.log(response);\n   * ```\n   */\n  private async embedContentInternal(\n    params: types.EmbedContentParametersPrivate,\n  ): Promise<types.EmbedContentResponse> {\n    let response: Promise<types.EmbedContentResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.embedContentParametersPrivateToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      const endpointUrl = tIsVertexEmbedContentModel(params.model)\n        ? '{model}:embedContent'\n        : '{model}:predict';\n      path = common.formatMap(\n        endpointUrl,\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.EmbedContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.EmbedContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.embedContentResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.EmbedContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.embedContentParametersPrivateToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:batchEmbedContents',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.EmbedContentResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.EmbedContentResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.embedContentResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.EmbedContentResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Private method for generating images.\n   */\n  private async generateImagesInternal(\n    params: types.GenerateImagesParameters,\n  ): Promise<types.GenerateImagesResponse> {\n    let response: Promise<types.GenerateImagesResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.generateImagesParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.GenerateImagesResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.GenerateImagesResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateImagesResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateImagesResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.generateImagesParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.GenerateImagesResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.GenerateImagesResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateImagesResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateImagesResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Private method for editing an image.\n   */\n  private async editImageInternal(\n    params: _internal_types.EditImageParametersInternal,\n  ): Promise<types.EditImageResponse> {\n    let response: Promise<types.EditImageResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.editImageParametersInternalToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.EditImageResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.EditImageResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.editImageResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.EditImageResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Private method for upscaling an image.\n   */\n  private async upscaleImageInternal(\n    params: _internal_types.UpscaleImageAPIParametersInternal,\n  ): Promise<types.UpscaleImageResponse> {\n    let response: Promise<types.UpscaleImageResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.upscaleImageAPIParametersInternalToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.UpscaleImageResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.UpscaleImageResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.upscaleImageResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.UpscaleImageResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Recontextualizes an image.\n   *\n   * There is one type of recontextualization currently supported:\n   * 1) Virtual Try-On: Generate images of persons modeling fashion products.\n   *\n   * @param params - The parameters for recontextualizing an image.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.recontextImage({\n   *  model: 'virtual-try-on-001',\n   *  source: {\n   *    personImage: personImage,\n   *    productImages: [productImage],\n   *  },\n   *  config: {\n   *    numberOfImages: 1,\n   *  },\n   * });\n   * console.log(response?.generatedImages?.[0]?.image?.imageBytes);\n   * ```\n   */\n  async recontextImage(\n    params: types.RecontextImageParameters,\n  ): Promise<types.RecontextImageResponse> {\n    let response: Promise<types.RecontextImageResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.recontextImageParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.RecontextImageResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.recontextImageResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.RecontextImageResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Segments an image, creating a mask of a specified area.\n   *\n   * @param params - The parameters for segmenting an image.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.segmentImage({\n   *  model: 'image-segmentation-001',\n   *  source: {\n   *    image: image,\n   *  },\n   *  config: {\n   *    mode: 'foreground',\n   *  },\n   * });\n   * console.log(response?.generatedMasks?.[0]?.mask?.imageBytes);\n   * ```\n   */\n  async segmentImage(\n    params: types.SegmentImageParameters,\n  ): Promise<types.SegmentImageResponse> {\n    let response: Promise<types.SegmentImageResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.segmentImageParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predict',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.SegmentImageResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.segmentImageResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.SegmentImageResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Fetches information about a model by name.\n   *\n   * @example\n   * ```ts\n   * const modelInfo = await ai.models.get({model: 'gemini-2.0-flash'});\n   * ```\n   */\n  async get(params: types.GetModelParameters): Promise<types.Model> {\n    let response: Promise<types.Model>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.getModelParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.Model>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.modelFromVertex(apiResponse, params);\n\n        return resp as types.Model;\n      });\n    } else {\n      const body = converters.getModelParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.Model>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.modelFromMldev(apiResponse, params);\n\n        return resp as types.Model;\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListModelsParameters,\n  ): Promise<types.ListModelsResponse> {\n    let response: Promise<types.ListModelsResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.listModelsParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{models_url}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListModelsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListModelsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listModelsResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.ListModelsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.listModelsParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{models_url}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListModelsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListModelsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listModelsResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.ListModelsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Updates a tuned model by its name.\n   *\n   * @param params - The parameters for updating the model.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.update({\n   *   model: 'tuned-model-name',\n   *   config: {\n   *     displayName: 'New display name',\n   *     description: 'New description',\n   *   },\n   * });\n   * ```\n   */\n  async update(params: types.UpdateModelParameters): Promise<types.Model> {\n    let response: Promise<types.Model>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.updateModelParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'PATCH',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.Model>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.modelFromVertex(apiResponse, params);\n\n        return resp as types.Model;\n      });\n    } else {\n      const body = converters.updateModelParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'PATCH',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.Model>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.modelFromMldev(apiResponse, params);\n\n        return resp as types.Model;\n      });\n    }\n  }\n\n  /**\n   * Deletes a tuned model by its name.\n   *\n   * @param params - The parameters for deleting the model.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.delete({model: 'tuned-model-name'});\n   * ```\n   */\n  async delete(\n    params: types.DeleteModelParameters,\n  ): Promise<types.DeleteModelResponse> {\n    let response: Promise<types.DeleteModelResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.deleteModelParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteModelResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteModelResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.deleteModelResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.DeleteModelResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.deleteModelParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'DELETE',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.DeleteModelResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.DeleteModelResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.deleteModelResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.DeleteModelResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Counts the number of tokens in the given contents. Multimodal input is\n   * supported for Gemini models.\n   *\n   * @param params - The parameters for counting tokens.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.countTokens({\n   *  model: 'gemini-2.0-flash',\n   *  contents: 'The quick brown fox jumps over the lazy dog.'\n   * });\n   * console.log(response);\n   * ```\n   */\n  async countTokens(\n    params: types.CountTokensParameters,\n  ): Promise<types.CountTokensResponse> {\n    let response: Promise<types.CountTokensResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.countTokensParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:countTokens',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.CountTokensResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.CountTokensResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.countTokensResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.CountTokensResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.countTokensParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:countTokens',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.CountTokensResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.CountTokensResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.countTokensResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.CountTokensResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  /**\n   * Given a list of contents, returns a corresponding TokensInfo containing\n   * the list of tokens and list of token ids.\n   *\n   * This method is not supported by the Gemini Developer API.\n   *\n   * @param params - The parameters for computing tokens.\n   * @return The response from the API.\n   *\n   * @example\n   * ```ts\n   * const response = await ai.models.computeTokens({\n   *  model: 'gemini-2.0-flash',\n   *  contents: 'What is your name?'\n   * });\n   * console.log(response);\n   * ```\n   */\n  async computeTokens(\n    params: types.ComputeTokensParameters,\n  ): Promise<types.ComputeTokensResponse> {\n    let response: Promise<types.ComputeTokensResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.computeTokensParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:computeTokens',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ComputeTokensResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ComputeTokensResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.computeTokensResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.ComputeTokensResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Private method for generating videos.\n   */\n  private async generateVideosInternal(\n    params: types.GenerateVideosParameters,\n  ): Promise<types.GenerateVideosOperation> {\n    let response: Promise<types.GenerateVideosOperation>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.generateVideosParametersToVertex(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predictLongRunning',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.GenerateVideosOperation>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateVideosOperationFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateVideosOperation();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.generateVideosParametersToMldev(\n        this.apiClient,\n        params,\n        params,\n      );\n      path = common.formatMap(\n        '{model}:predictLongRunning',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.GenerateVideosOperation>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.generateVideosOperationFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.GenerateVideosOperation();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_operations_converters.js';\nimport * as types from './types.js';\n\nexport class Operations extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Gets the status of a long-running operation.\n   *\n   * @param parameters The parameters for the get operation request.\n   * @return The updated Operation object, with the latest status or result.\n   */\n  async getVideosOperation(\n    parameters: types.OperationGetParameters<\n      types.GenerateVideosResponse,\n      types.GenerateVideosOperation\n    >,\n  ): Promise<types.GenerateVideosOperation> {\n    const operation = parameters.operation;\n    const config = parameters.config;\n\n    if (operation.name === undefined || operation.name === '') {\n      throw new Error('Operation name is required.');\n    }\n\n    if (this.apiClient.isVertexAI()) {\n      const resourceName = operation.name.split('/operations/')[0];\n      let httpOptions: types.HttpOptions | undefined = undefined;\n\n      if (config && 'httpOptions' in config) {\n        httpOptions = config.httpOptions;\n      }\n\n      const rawOperation = await this.fetchPredictVideosOperationInternal({\n        operationName: operation.name,\n        resourceName: resourceName,\n        config: {httpOptions: httpOptions},\n      });\n\n      return operation._fromAPIResponse({\n        apiResponse: rawOperation,\n        _isVertexAI: true,\n      });\n    } else {\n      const rawOperation = await this.getVideosOperationInternal({\n        operationName: operation.name,\n        config: config,\n      });\n      return operation._fromAPIResponse({\n        apiResponse: rawOperation,\n        _isVertexAI: false,\n      });\n    }\n  }\n\n  /**\n   * Gets the status of a long-running operation.\n   *\n   * @param parameters The parameters for the get operation request.\n   * @return The updated Operation object, with the latest status or result.\n   */\n  async get<T, U extends types.Operation<T>>(\n    parameters: types.OperationGetParameters<T, U>,\n  ): Promise<types.Operation<T>> {\n    const operation = parameters.operation;\n    const config = parameters.config;\n\n    if (operation.name === undefined || operation.name === '') {\n      throw new Error('Operation name is required.');\n    }\n\n    if (this.apiClient.isVertexAI()) {\n      const resourceName = operation.name.split('/operations/')[0];\n      let httpOptions: types.HttpOptions | undefined = undefined;\n\n      if (config && 'httpOptions' in config) {\n        httpOptions = config.httpOptions;\n      }\n\n      const rawOperation = await this.fetchPredictVideosOperationInternal({\n        operationName: operation.name,\n        resourceName: resourceName,\n        config: {httpOptions: httpOptions},\n      });\n\n      return operation._fromAPIResponse({\n        apiResponse: rawOperation,\n        _isVertexAI: true,\n      });\n    } else {\n      const rawOperation = await this.getVideosOperationInternal({\n        operationName: operation.name,\n        config: config,\n      });\n      return operation._fromAPIResponse({\n        apiResponse: rawOperation,\n        _isVertexAI: false,\n      });\n    }\n  }\n\n  private async getVideosOperationInternal(\n    params: types.GetOperationParameters,\n  ): Promise<Record<string, unknown>> {\n    let response: Promise<Record<string, unknown>>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.getOperationParametersToVertex(params);\n      path = common.formatMap(\n        '{operationName}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<Record<string, unknown>>;\n\n      return response;\n    } else {\n      const body = converters.getOperationParametersToMldev(params);\n      path = common.formatMap(\n        '{operationName}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<Record<string, unknown>>;\n\n      return response;\n    }\n  }\n\n  private async fetchPredictVideosOperationInternal(\n    params: types.FetchPredictOperationParameters,\n  ): Promise<Record<string, unknown>> {\n    let response: Promise<Record<string, unknown>>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.fetchPredictOperationParametersToVertex(params);\n      path = common.formatMap(\n        '{resourceName}:fetchPredictOperation',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<Record<string, unknown>>;\n\n      return response;\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from '../_api_client.js';\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function audioTranscriptionConfigToMldev(\n  fromObject: types.AudioTranscriptionConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['languageCodes']) !== undefined) {\n    throw new Error(\n      'languageCodes parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromLanguageAuto = common.getValueByPath(fromObject, ['languageAuto']);\n  if (fromLanguageAuto != null) {\n    common.setValueByPath(toObject, ['languageAuto'], fromLanguageAuto);\n  }\n\n  const fromLanguageHints = common.getValueByPath(fromObject, [\n    'languageHints',\n  ]);\n  if (fromLanguageHints != null) {\n    common.setValueByPath(toObject, ['languageHints'], fromLanguageHints);\n  }\n\n  const fromAdaptationPhrases = common.getValueByPath(fromObject, [\n    'adaptationPhrases',\n  ]);\n  if (fromAdaptationPhrases != null) {\n    common.setValueByPath(\n      toObject,\n      ['adaptationPhrases'],\n      fromAdaptationPhrases,\n    );\n  }\n\n  return toObject;\n}\n\nexport function authConfigToMldev(\n  fromObject: types.AuthConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromApiKey = common.getValueByPath(fromObject, ['apiKey']);\n  if (fromApiKey != null) {\n    common.setValueByPath(toObject, ['apiKey'], fromApiKey);\n  }\n\n  if (common.getValueByPath(fromObject, ['apiKeyConfig']) !== undefined) {\n    throw new Error(\n      'apiKeyConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['authType']) !== undefined) {\n    throw new Error(\n      'authType parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['googleServiceAccountConfig']) !==\n    undefined\n  ) {\n    throw new Error(\n      'googleServiceAccountConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['httpBasicAuthConfig']) !== undefined\n  ) {\n    throw new Error(\n      'httpBasicAuthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oauthConfig']) !== undefined) {\n    throw new Error(\n      'oauthConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['oidcConfig']) !== undefined) {\n    throw new Error(\n      'oidcConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function blobToMldev(fromObject: types.Blob): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromData = common.getValueByPath(fromObject, ['data']);\n  if (fromData != null) {\n    common.setValueByPath(toObject, ['data'], fromData);\n  }\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function contentToMldev(\n  fromObject: types.Content,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToMldev(item);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function createAuthTokenConfigToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateAuthTokenConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromExpireTime = common.getValueByPath(fromObject, ['expireTime']);\n  if (parentObject !== undefined && fromExpireTime != null) {\n    common.setValueByPath(parentObject, ['expireTime'], fromExpireTime);\n  }\n\n  const fromNewSessionExpireTime = common.getValueByPath(fromObject, [\n    'newSessionExpireTime',\n  ]);\n  if (parentObject !== undefined && fromNewSessionExpireTime != null) {\n    common.setValueByPath(\n      parentObject,\n      ['newSessionExpireTime'],\n      fromNewSessionExpireTime,\n    );\n  }\n\n  const fromUses = common.getValueByPath(fromObject, ['uses']);\n  if (parentObject !== undefined && fromUses != null) {\n    common.setValueByPath(parentObject, ['uses'], fromUses);\n  }\n\n  const fromLiveConnectConstraints = common.getValueByPath(fromObject, [\n    'liveConnectConstraints',\n  ]);\n  if (parentObject !== undefined && fromLiveConnectConstraints != null) {\n    common.setValueByPath(\n      parentObject,\n      ['bidiGenerateContentSetup'],\n      liveConnectConstraintsToMldev(apiClient, fromLiveConnectConstraints),\n    );\n  }\n\n  const fromLockAdditionalFields = common.getValueByPath(fromObject, [\n    'lockAdditionalFields',\n  ]);\n  if (parentObject !== undefined && fromLockAdditionalFields != null) {\n    common.setValueByPath(\n      parentObject,\n      ['fieldMask'],\n      fromLockAdditionalFields,\n    );\n  }\n\n  return toObject;\n}\n\nexport function createAuthTokenParametersToMldev(\n  apiClient: ApiClient,\n  fromObject: types.CreateAuthTokenParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['config'],\n      createAuthTokenConfigToMldev(apiClient, fromConfig, toObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function createAuthTokenParametersToVertex(\n  fromObject: types.CreateAuthTokenParameters,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['config']) !== undefined) {\n    throw new Error(\n      'config parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function fileDataToMldev(\n  fromObject: types.FileData,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['displayName']) !== undefined) {\n    throw new Error(\n      'displayName parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFileUri = common.getValueByPath(fromObject, ['fileUri']);\n  if (fromFileUri != null) {\n    common.setValueByPath(toObject, ['fileUri'], fromFileUri);\n  }\n\n  const fromMimeType = common.getValueByPath(fromObject, ['mimeType']);\n  if (fromMimeType != null) {\n    common.setValueByPath(toObject, ['mimeType'], fromMimeType);\n  }\n\n  return toObject;\n}\n\nexport function functionCallToMldev(\n  fromObject: types.FunctionCall,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromId = common.getValueByPath(fromObject, ['id']);\n  if (fromId != null) {\n    common.setValueByPath(toObject, ['id'], fromId);\n  }\n\n  const fromArgs = common.getValueByPath(fromObject, ['args']);\n  if (fromArgs != null) {\n    common.setValueByPath(toObject, ['args'], fromArgs);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  if (common.getValueByPath(fromObject, ['partialArgs']) !== undefined) {\n    throw new Error(\n      'partialArgs parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['willContinue']) !== undefined) {\n    throw new Error(\n      'willContinue parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function googleMapsToMldev(\n  fromObject: types.GoogleMaps,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAuthConfig = common.getValueByPath(fromObject, ['authConfig']);\n  if (fromAuthConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['authConfig'],\n      authConfigToMldev(fromAuthConfig),\n    );\n  }\n\n  const fromEnableWidget = common.getValueByPath(fromObject, ['enableWidget']);\n  if (fromEnableWidget != null) {\n    common.setValueByPath(toObject, ['enableWidget'], fromEnableWidget);\n  }\n\n  return toObject;\n}\n\nexport function googleSearchToMldev(\n  fromObject: types.GoogleSearch,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSearchTypes = common.getValueByPath(fromObject, ['searchTypes']);\n  if (fromSearchTypes != null) {\n    common.setValueByPath(toObject, ['searchTypes'], fromSearchTypes);\n  }\n\n  if (common.getValueByPath(fromObject, ['blockingConfidence']) !== undefined) {\n    throw new Error(\n      'blockingConfidence parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['excludeDomains']) !== undefined) {\n    throw new Error(\n      'excludeDomains parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTimeRangeFilter = common.getValueByPath(fromObject, [\n    'timeRangeFilter',\n  ]);\n  if (fromTimeRangeFilter != null) {\n    common.setValueByPath(toObject, ['timeRangeFilter'], fromTimeRangeFilter);\n  }\n\n  return toObject;\n}\n\nexport function liveConnectConfigToMldev(\n  fromObject: types.LiveConnectConfig,\n  parentObject: Record<string, unknown>,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (parentObject !== undefined && fromGenerationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig'],\n      fromGenerationConfig,\n    );\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (parentObject !== undefined && fromResponseModalities != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (parentObject !== undefined && fromTemperature != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'temperature'],\n      fromTemperature,\n    );\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (parentObject !== undefined && fromTopP != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topP'],\n      fromTopP,\n    );\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (parentObject !== undefined && fromTopK != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'topK'],\n      fromTopK,\n    );\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (parentObject !== undefined && fromMaxOutputTokens != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'maxOutputTokens'],\n      fromMaxOutputTokens,\n    );\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (parentObject !== undefined && fromMediaResolution != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'mediaResolution'],\n      fromMediaResolution,\n    );\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (parentObject !== undefined && fromSeed != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'seed'],\n      fromSeed,\n    );\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (parentObject !== undefined && fromSpeechConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'speechConfig'],\n      t.tLiveSpeechConfig(fromSpeechConfig),\n    );\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (parentObject !== undefined && fromThinkingConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'thinkingConfig'],\n      fromThinkingConfig,\n    );\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (parentObject !== undefined && fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (parentObject !== undefined && fromSystemInstruction != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'systemInstruction'],\n      contentToMldev(t.tContent(fromSystemInstruction)),\n    );\n  }\n\n  const fromTools = common.getValueByPath(fromObject, ['tools']);\n  if (parentObject !== undefined && fromTools != null) {\n    let transformedList = t.tTools(fromTools);\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return toolToMldev(t.tTool(item));\n      });\n    }\n    common.setValueByPath(parentObject, ['setup', 'tools'], transformedList);\n  }\n\n  const fromSessionResumption = common.getValueByPath(fromObject, [\n    'sessionResumption',\n  ]);\n  if (parentObject !== undefined && fromSessionResumption != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'sessionResumption'],\n      sessionResumptionConfigToMldev(fromSessionResumption),\n    );\n  }\n\n  const fromInputAudioTranscription = common.getValueByPath(fromObject, [\n    'inputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromInputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'inputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromInputAudioTranscription),\n    );\n  }\n\n  const fromOutputAudioTranscription = common.getValueByPath(fromObject, [\n    'outputAudioTranscription',\n  ]);\n  if (parentObject !== undefined && fromOutputAudioTranscription != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'outputAudioTranscription'],\n      audioTranscriptionConfigToMldev(fromOutputAudioTranscription),\n    );\n  }\n\n  const fromRealtimeInputConfig = common.getValueByPath(fromObject, [\n    'realtimeInputConfig',\n  ]);\n  if (parentObject !== undefined && fromRealtimeInputConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'realtimeInputConfig'],\n      fromRealtimeInputConfig,\n    );\n  }\n\n  const fromContextWindowCompression = common.getValueByPath(fromObject, [\n    'contextWindowCompression',\n  ]);\n  if (parentObject !== undefined && fromContextWindowCompression != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'contextWindowCompression'],\n      fromContextWindowCompression,\n    );\n  }\n\n  const fromProactivity = common.getValueByPath(fromObject, ['proactivity']);\n  if (parentObject !== undefined && fromProactivity != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'proactivity'],\n      fromProactivity,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['explicitVadSignal']) !== undefined) {\n    throw new Error(\n      'explicitVadSignal parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromAvatarConfig = common.getValueByPath(fromObject, ['avatarConfig']);\n  if (parentObject !== undefined && fromAvatarConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'avatarConfig'],\n      fromAvatarConfig,\n    );\n  }\n\n  const fromSafetySettings = common.getValueByPath(fromObject, [\n    'safetySettings',\n  ]);\n  if (parentObject !== undefined && fromSafetySettings != null) {\n    let transformedList = fromSafetySettings;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return safetySettingToMldev(item);\n      });\n    }\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'safetySettings'],\n      transformedList,\n    );\n  }\n\n  const fromTranslationConfig = common.getValueByPath(fromObject, [\n    'translationConfig',\n  ]);\n  if (parentObject !== undefined && fromTranslationConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['setup', 'generationConfig', 'translationConfig'],\n      fromTranslationConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function liveConnectConstraintsToMldev(\n  apiClient: ApiClient,\n  fromObject: types.LiveConnectConstraints,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['model']);\n  if (fromModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['setup', 'model'],\n      t.tModel(apiClient, fromModel),\n    );\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['config'],\n      liveConnectConfigToMldev(fromConfig, toObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function partToMldev(fromObject: types.Part): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      fromCodeExecutionResult,\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(toObject, ['executableCode'], fromExecutableCode);\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(\n      toObject,\n      ['fileData'],\n      fileDataToMldev(fromFileData),\n    );\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(\n      toObject,\n      ['functionCall'],\n      functionCallToMldev(fromFunctionCall),\n    );\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(\n      toObject,\n      ['inlineData'],\n      blobToMldev(fromInlineData),\n    );\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  const fromToolCall = common.getValueByPath(fromObject, ['toolCall']);\n  if (fromToolCall != null) {\n    common.setValueByPath(toObject, ['toolCall'], fromToolCall);\n  }\n\n  const fromToolResponse = common.getValueByPath(fromObject, ['toolResponse']);\n  if (fromToolResponse != null) {\n    common.setValueByPath(toObject, ['toolResponse'], fromToolResponse);\n  }\n\n  const fromPartMetadata = common.getValueByPath(fromObject, ['partMetadata']);\n  if (fromPartMetadata != null) {\n    common.setValueByPath(toObject, ['partMetadata'], fromPartMetadata);\n  }\n\n  return toObject;\n}\n\nexport function safetySettingToMldev(\n  fromObject: types.SafetySetting,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCategory = common.getValueByPath(fromObject, ['category']);\n  if (fromCategory != null) {\n    common.setValueByPath(toObject, ['category'], fromCategory);\n  }\n\n  if (common.getValueByPath(fromObject, ['method']) !== undefined) {\n    throw new Error(\n      'method parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromThreshold = common.getValueByPath(fromObject, ['threshold']);\n  if (fromThreshold != null) {\n    common.setValueByPath(toObject, ['threshold'], fromThreshold);\n  }\n\n  return toObject;\n}\n\nexport function sessionResumptionConfigToMldev(\n  fromObject: types.SessionResumptionConfig,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromHandle = common.getValueByPath(fromObject, ['handle']);\n  if (fromHandle != null) {\n    common.setValueByPath(toObject, ['handle'], fromHandle);\n  }\n\n  if (common.getValueByPath(fromObject, ['transparent']) !== undefined) {\n    throw new Error(\n      'transparent parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function toolToMldev(fromObject: types.Tool): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['retrieval']) !== undefined) {\n    throw new Error(\n      'retrieval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromComputerUse = common.getValueByPath(fromObject, ['computerUse']);\n  if (fromComputerUse != null) {\n    common.setValueByPath(toObject, ['computerUse'], fromComputerUse);\n  }\n\n  const fromFileSearch = common.getValueByPath(fromObject, ['fileSearch']);\n  if (fromFileSearch != null) {\n    common.setValueByPath(toObject, ['fileSearch'], fromFileSearch);\n  }\n\n  const fromGoogleSearch = common.getValueByPath(fromObject, ['googleSearch']);\n  if (fromGoogleSearch != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearch'],\n      googleSearchToMldev(fromGoogleSearch),\n    );\n  }\n\n  const fromGoogleMaps = common.getValueByPath(fromObject, ['googleMaps']);\n  if (fromGoogleMaps != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleMaps'],\n      googleMapsToMldev(fromGoogleMaps),\n    );\n  }\n\n  const fromCodeExecution = common.getValueByPath(fromObject, [\n    'codeExecution',\n  ]);\n  if (fromCodeExecution != null) {\n    common.setValueByPath(toObject, ['codeExecution'], fromCodeExecution);\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['enterpriseWebSearch']) !== undefined\n  ) {\n    throw new Error(\n      'enterpriseWebSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromFunctionDeclarations = common.getValueByPath(fromObject, [\n    'functionDeclarations',\n  ]);\n  if (fromFunctionDeclarations != null) {\n    let transformedList = fromFunctionDeclarations;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['functionDeclarations'], transformedList);\n  }\n\n  const fromGoogleSearchRetrieval = common.getValueByPath(fromObject, [\n    'googleSearchRetrieval',\n  ]);\n  if (fromGoogleSearchRetrieval != null) {\n    common.setValueByPath(\n      toObject,\n      ['googleSearchRetrieval'],\n      fromGoogleSearchRetrieval,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['parallelAiSearch']) !== undefined) {\n    throw new Error(\n      'parallelAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromUrlContext = common.getValueByPath(fromObject, ['urlContext']);\n  if (fromUrlContext != null) {\n    common.setValueByPath(toObject, ['urlContext'], fromUrlContext);\n  }\n\n  const fromMcpServers = common.getValueByPath(fromObject, ['mcpServers']);\n  if (fromMcpServers != null) {\n    let transformedList = fromMcpServers;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['mcpServers'], transformedList);\n  }\n\n  if (common.getValueByPath(fromObject, ['exaAiSearch']) !== undefined) {\n    throw new Error(\n      'exaAiSearch parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_tokens_converters.js';\nimport * as types from './types.js';\n\n/**\n * Returns a comma-separated list of field masks from a given object.\n *\n * @param setup The object to extract field masks from.\n * @return A comma-separated list of field masks.\n */\nfunction getFieldMasks(setup: Record<string, unknown>): string {\n  const fields: string[] = [];\n\n  for (const key in setup) {\n    if (Object.prototype.hasOwnProperty.call(setup, key)) {\n      const value = setup[key];\n      // 2nd layer, recursively get field masks see TODO(b/418290100)\n      if (\n        typeof value === 'object' &&\n        value != null &&\n        Object.keys(value).length > 0\n      ) {\n        const field = Object.keys(value).map((kk) => `${key}.${kk}`);\n        fields.push(...field);\n      } else {\n        fields.push(key); // 1st layer\n      }\n    }\n  }\n\n  return fields.join(',');\n}\n\n/**\n * Converts bidiGenerateContentSetup.\n * @param requestDict - The request dictionary.\n * @param config - The configuration object.\n * @return - The modified request dictionary.\n */\nfunction convertBidiSetupToTokenSetup(\n  requestDict: Record<string, unknown>,\n  config?: {lockAdditionalFields?: string[]},\n): Record<string, unknown> {\n  // Convert bidiGenerateContentSetup from bidiGenerateContentSetup.setup.\n  let setupForMaskGeneration: Record<string, unknown> | null = null;\n  const bidiGenerateContentSetupValue = requestDict['bidiGenerateContentSetup'];\n  if (\n    typeof bidiGenerateContentSetupValue === 'object' &&\n    bidiGenerateContentSetupValue !== null &&\n    'setup' in bidiGenerateContentSetupValue\n  ) {\n    // Now we know bidiGenerateContentSetupValue is an object and has a 'setup'\n    // property.\n    const innerSetup = (bidiGenerateContentSetupValue as {setup: unknown})\n      .setup;\n\n    if (typeof innerSetup === 'object' && innerSetup !== null) {\n      // Valid inner setup found.\n      requestDict['bidiGenerateContentSetup'] = innerSetup;\n      setupForMaskGeneration = innerSetup as Record<string, unknown>;\n    } else {\n      // `bidiGenerateContentSetupValue.setup` is not a valid object; treat as\n      // if bidiGenerateContentSetup is invalid.\n      delete requestDict['bidiGenerateContentSetup'];\n    }\n  } else if (bidiGenerateContentSetupValue !== undefined) {\n    // `bidiGenerateContentSetup` exists but not in the expected\n    // shape {setup: {...}}; treat as invalid.\n    delete requestDict['bidiGenerateContentSetup'];\n  }\n\n  const preExistingFieldMask = requestDict['fieldMask'];\n  // Handle mask generation setup.\n  if (setupForMaskGeneration) {\n    const generatedMaskFromBidi = getFieldMasks(setupForMaskGeneration);\n\n    if (\n      Array.isArray(config?.lockAdditionalFields) &&\n      config?.lockAdditionalFields.length === 0\n    ) {\n      // Case 1: lockAdditionalFields is an empty array. Lock only fields from\n      // bidi setup.\n      if (generatedMaskFromBidi) {\n        // Only assign if mask is not empty\n        requestDict['fieldMask'] = generatedMaskFromBidi;\n      } else {\n        delete requestDict['fieldMask']; // If mask is empty, effectively no\n        // specific fields locked by bidi\n      }\n    } else if (\n      config?.lockAdditionalFields &&\n      config.lockAdditionalFields.length > 0 &&\n      preExistingFieldMask !== null &&\n      Array.isArray(preExistingFieldMask) &&\n      preExistingFieldMask.length > 0\n    ) {\n      // Case 2: Lock fields from bidi setup + additional fields\n      // (preExistingFieldMask).\n\n      const generationConfigFields = [\n        'temperature',\n        'topK',\n        'topP',\n        'maxOutputTokens',\n        'responseModalities',\n        'seed',\n        'speechConfig',\n      ];\n\n      let mappedFieldsFromPreExisting: string[] = [];\n      if (preExistingFieldMask.length > 0) {\n        mappedFieldsFromPreExisting = preExistingFieldMask.map((field) => {\n          if (generationConfigFields.includes(field)) {\n            return `generationConfig.${field}`;\n          }\n          return field; // Keep original field name if not in\n          // generationConfigFields\n        });\n      }\n\n      const finalMaskParts: string[] = [];\n      if (generatedMaskFromBidi) {\n        finalMaskParts.push(generatedMaskFromBidi);\n      }\n      if (mappedFieldsFromPreExisting.length > 0) {\n        finalMaskParts.push(...mappedFieldsFromPreExisting);\n      }\n\n      if (finalMaskParts.length > 0) {\n        requestDict['fieldMask'] = finalMaskParts.join(',');\n      } else {\n        // If no fields from bidi and no valid additional fields from\n        // pre-existing mask.\n        delete requestDict['fieldMask'];\n      }\n    } else {\n      // Case 3: \"Lock all fields\" (meaning, don't send a field_mask, let server\n      // defaults apply or all are mutable). This is hit if:\n      //  - `config.lockAdditionalFields` is undefined.\n      //  - `config.lockAdditionalFields` is non-empty, BUT\n      //  `preExistingFieldMask` is null, not a string, or an empty string.\n      delete requestDict['fieldMask'];\n    }\n  } else {\n    // No valid `bidiGenerateContentSetup` was found or extracted.\n    // \"Lock additional null fields if any\".\n    if (\n      preExistingFieldMask !== null &&\n      Array.isArray(preExistingFieldMask) &&\n      preExistingFieldMask.length > 0\n    ) {\n      // If there's a pre-existing field mask, it's a string, and it's not\n      // empty, then we should lock all fields.\n      requestDict['fieldMask'] = preExistingFieldMask.join(',');\n    } else {\n      delete requestDict['fieldMask'];\n    }\n  }\n\n  return requestDict;\n}\n\nexport class Tokens extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n  /**\n   * Creates an ephemeral auth token resource.\n   *\n   * @experimental\n   *\n   * @remarks\n   * Ephemeral auth tokens is only supported in the Gemini Developer API.\n   * It can be used for the session connection to the Live constrained API.\n   * Support in v1alpha only.\n   *\n   * @param params - The parameters for the create request.\n   * @return The created auth token.\n   *\n   * @example\n   * ```ts\n   * const ai = new GoogleGenAI({\n   *     apiKey: token.name,\n   *     httpOptions: { apiVersion: 'v1alpha' }  // Support in v1alpha only.\n   * });\n   *\n   * // Case 1: If LiveEphemeralParameters is unset, unlock LiveConnectConfig\n   * // when using the token in Live API sessions. Each session connection can\n   * // use a different configuration.\n   * const config: CreateAuthTokenConfig = {\n   *     uses: 3,\n   *     expireTime: '2025-05-01T00:00:00Z',\n   * }\n   * const token = await ai.tokens.create(config);\n   *\n   * // Case 2: If LiveEphemeralParameters is set, lock all fields in\n   * // LiveConnectConfig when using the token in Live API sessions. For\n   * // example, changing `outputAudioTranscription` in the Live API\n   * // connection will be ignored by the API.\n   * const config: CreateAuthTokenConfig =\n   *     uses: 3,\n   *     expireTime: '2025-05-01T00:00:00Z',\n   *     LiveEphemeralParameters: {\n   *        model: 'gemini-2.0-flash-001',\n   *        config: {\n   *           'responseModalities': ['AUDIO'],\n   *           'systemInstruction': 'Always answer in English.',\n   *        }\n   *     }\n   * }\n   * const token = await ai.tokens.create(config);\n   *\n   * // Case 3: If LiveEphemeralParameters is set and lockAdditionalFields is\n   * // set, lock LiveConnectConfig with set and additional fields (e.g.\n   * // responseModalities, systemInstruction, temperature in this example) when\n   * // using the token in Live API sessions.\n   * const config: CreateAuthTokenConfig =\n   *     uses: 3,\n   *     expireTime: '2025-05-01T00:00:00Z',\n   *     LiveEphemeralParameters: {\n   *        model: 'gemini-2.0-flash-001',\n   *        config: {\n   *           'responseModalities': ['AUDIO'],\n   *           'systemInstruction': 'Always answer in English.',\n   *        }\n   *     },\n   *     lockAdditionalFields: ['temperature'],\n   * }\n   * const token = await ai.tokens.create(config);\n   *\n   * // Case 4: If LiveEphemeralParameters is set and lockAdditionalFields is\n   * // empty array, lock LiveConnectConfig with set fields (e.g.\n   * // responseModalities, systemInstruction in this example) when using the\n   * // token in Live API sessions.\n   * const config: CreateAuthTokenConfig =\n   *     uses: 3,\n   *     expireTime: '2025-05-01T00:00:00Z',\n   *     LiveEphemeralParameters: {\n   *        model: 'gemini-2.0-flash-001',\n   *        config: {\n   *           'responseModalities': ['AUDIO'],\n   *           'systemInstruction': 'Always answer in English.',\n   *        }\n   *     },\n   *     lockAdditionalFields: [],\n   * }\n   * const token = await ai.tokens.create(config);\n   * ```\n   */\n\n  async create(\n    params: types.CreateAuthTokenParameters,\n  ): Promise<types.AuthToken> {\n    let response: Promise<types.AuthToken>;\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'The client.tokens.create method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.createAuthTokenParametersToMldev(\n        this.apiClient,\n        params,\n      );\n      path = common.formatMap(\n        'auth_tokens',\n        body['_url'] as Record<string, unknown>,\n      );\n\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['config'];\n      delete body['_url'];\n      delete body['_query'];\n\n      const transformedBody = convertBidiSetupToTokenSetup(body, params.config);\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(transformedBody),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json();\n        }) as Promise<types.AuthToken>;\n\n      return response.then((resp) => {\n        return resp as types.AuthToken;\n      });\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport * as common from '../_common.js';\nimport * as t from '../_transformers.js';\nimport type * as types from '../types.js';\n\nexport function cancelTuningJobParametersToMldev(\n  fromObject: types.CancelTuningJobParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function cancelTuningJobParametersToVertex(\n  fromObject: types.CancelTuningJobParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function cancelTuningJobResponseFromMldev(\n  fromObject: types.CancelTuningJobResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function cancelTuningJobResponseFromVertex(\n  fromObject: types.CancelTuningJobResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  return toObject;\n}\n\nexport function codeExecutionResultToVertex(\n  fromObject: types.CodeExecutionResult,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromOutcome = common.getValueByPath(fromObject, ['outcome']);\n  if (fromOutcome != null) {\n    common.setValueByPath(toObject, ['outcome'], fromOutcome);\n  }\n\n  const fromOutput = common.getValueByPath(fromObject, ['output']);\n  if (fromOutput != null) {\n    common.setValueByPath(toObject, ['output'], fromOutput);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function contentToVertex(\n  fromObject: types.Content,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParts = common.getValueByPath(fromObject, ['parts']);\n  if (fromParts != null) {\n    let transformedList = fromParts;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return partToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['parts'], transformedList);\n  }\n\n  const fromRole = common.getValueByPath(fromObject, ['role']);\n  if (fromRole != null) {\n    common.setValueByPath(toObject, ['role'], fromRole);\n  }\n\n  return toObject;\n}\n\nexport function createTuningJobConfigToMldev(\n  fromObject: types.CreateTuningJobConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['validationDataset']) !== undefined) {\n    throw new Error(\n      'validationDataset parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromTunedModelDisplayName = common.getValueByPath(fromObject, [\n    'tunedModelDisplayName',\n  ]);\n  if (parentObject !== undefined && fromTunedModelDisplayName != null) {\n    common.setValueByPath(\n      parentObject,\n      ['displayName'],\n      fromTunedModelDisplayName,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['description']) !== undefined) {\n    throw new Error(\n      'description parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n  if (parentObject !== undefined && fromEpochCount != null) {\n    common.setValueByPath(\n      parentObject,\n      ['tuningTask', 'hyperparameters', 'epochCount'],\n      fromEpochCount,\n    );\n  }\n\n  const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n    'learningRateMultiplier',\n  ]);\n  if (fromLearningRateMultiplier != null) {\n    common.setValueByPath(\n      toObject,\n      ['tuningTask', 'hyperparameters', 'learningRateMultiplier'],\n      fromLearningRateMultiplier,\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['exportLastCheckpointOnly']) !==\n    undefined\n  ) {\n    throw new Error(\n      'exportLastCheckpointOnly parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['preTunedModelCheckpointId']) !==\n    undefined\n  ) {\n    throw new Error(\n      'preTunedModelCheckpointId parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['adapterSize']) !== undefined) {\n    throw new Error(\n      'adapterSize parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['tuningMode']) !== undefined) {\n    throw new Error(\n      'tuningMode parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['customBaseModel']) !== undefined) {\n    throw new Error(\n      'customBaseModel parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromBatchSize = common.getValueByPath(fromObject, ['batchSize']);\n  if (parentObject !== undefined && fromBatchSize != null) {\n    common.setValueByPath(\n      parentObject,\n      ['tuningTask', 'hyperparameters', 'batchSize'],\n      fromBatchSize,\n    );\n  }\n\n  const fromLearningRate = common.getValueByPath(fromObject, ['learningRate']);\n  if (parentObject !== undefined && fromLearningRate != null) {\n    common.setValueByPath(\n      parentObject,\n      ['tuningTask', 'hyperparameters', 'learningRate'],\n      fromLearningRate,\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['labels']) !== undefined) {\n    throw new Error(\n      'labels parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['beta']) !== undefined) {\n    throw new Error(\n      'beta parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['baseTeacherModel']) !== undefined) {\n    throw new Error(\n      'baseTeacherModel parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['tunedTeacherModelSource']) !== undefined\n  ) {\n    throw new Error(\n      'tunedTeacherModelSource parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['sftLossWeightMultiplier']) !== undefined\n  ) {\n    throw new Error(\n      'sftLossWeightMultiplier parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['outputUri']) !== undefined) {\n    throw new Error(\n      'outputUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['encryptionSpec']) !== undefined) {\n    throw new Error(\n      'encryptionSpec parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['rewardConfig']) !== undefined) {\n    throw new Error(\n      'rewardConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['compositeRewardConfig']) !== undefined\n  ) {\n    throw new Error(\n      'compositeRewardConfig parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['samplesPerPrompt']) !== undefined) {\n    throw new Error(\n      'samplesPerPrompt parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['evaluateInterval']) !== undefined) {\n    throw new Error(\n      'evaluateInterval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['checkpointInterval']) !== undefined) {\n    throw new Error(\n      'checkpointInterval parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['maxOutputTokens']) !== undefined) {\n    throw new Error(\n      'maxOutputTokens parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['thinkingLevel']) !== undefined) {\n    throw new Error(\n      'thinkingLevel parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['validationDatasetUri']) !== undefined\n  ) {\n    throw new Error(\n      'validationDatasetUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function createTuningJobConfigToVertex(\n  fromObject: types.CreateTuningJobConfig,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  let discriminatorValidationDataset = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorValidationDataset === undefined) {\n    discriminatorValidationDataset = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorValidationDataset === 'SUPERVISED_FINE_TUNING') {\n    const fromValidationDataset = common.getValueByPath(fromObject, [\n      'validationDataset',\n    ]);\n    if (parentObject !== undefined && fromValidationDataset != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec'],\n        tuningValidationDatasetToVertex(fromValidationDataset, rootObject),\n      );\n    }\n  } else if (discriminatorValidationDataset === 'PREFERENCE_TUNING') {\n    const fromValidationDataset = common.getValueByPath(fromObject, [\n      'validationDataset',\n    ]);\n    if (parentObject !== undefined && fromValidationDataset != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec'],\n        tuningValidationDatasetToVertex(fromValidationDataset, rootObject),\n      );\n    }\n  } else if (discriminatorValidationDataset === 'DISTILLATION') {\n    const fromValidationDataset = common.getValueByPath(fromObject, [\n      'validationDataset',\n    ]);\n    if (parentObject !== undefined && fromValidationDataset != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec'],\n        tuningValidationDatasetToVertex(fromValidationDataset, rootObject),\n      );\n    }\n  } else if (discriminatorValidationDataset === 'REINFORCEMENT_TUNING') {\n    const fromValidationDataset = common.getValueByPath(fromObject, [\n      'validationDataset',\n    ]);\n    if (parentObject !== undefined && fromValidationDataset != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec'],\n        tuningValidationDatasetToVertex(fromValidationDataset, rootObject),\n      );\n    }\n  }\n\n  const fromTunedModelDisplayName = common.getValueByPath(fromObject, [\n    'tunedModelDisplayName',\n  ]);\n  if (parentObject !== undefined && fromTunedModelDisplayName != null) {\n    common.setValueByPath(\n      parentObject,\n      ['tunedModelDisplayName'],\n      fromTunedModelDisplayName,\n    );\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (parentObject !== undefined && fromDescription != null) {\n    common.setValueByPath(parentObject, ['description'], fromDescription);\n  }\n\n  let discriminatorEpochCount = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorEpochCount === undefined) {\n    discriminatorEpochCount = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorEpochCount === 'SUPERVISED_FINE_TUNING') {\n    const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n    if (parentObject !== undefined && fromEpochCount != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'hyperParameters', 'epochCount'],\n        fromEpochCount,\n      );\n    }\n  } else if (discriminatorEpochCount === 'PREFERENCE_TUNING') {\n    const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n    if (parentObject !== undefined && fromEpochCount != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec', 'hyperParameters', 'epochCount'],\n        fromEpochCount,\n      );\n    }\n  } else if (discriminatorEpochCount === 'DISTILLATION') {\n    const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n    if (parentObject !== undefined && fromEpochCount != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'hyperParameters', 'epochCount'],\n        fromEpochCount,\n      );\n    }\n  } else if (discriminatorEpochCount === 'REINFORCEMENT_TUNING') {\n    const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n    if (parentObject !== undefined && fromEpochCount != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec', 'hyperParameters', 'epochCount'],\n        fromEpochCount,\n      );\n    }\n  }\n\n  let discriminatorLearningRateMultiplier = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorLearningRateMultiplier === undefined) {\n    discriminatorLearningRateMultiplier = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorLearningRateMultiplier === 'SUPERVISED_FINE_TUNING') {\n    const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n      'learningRateMultiplier',\n    ]);\n    if (parentObject !== undefined && fromLearningRateMultiplier != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'hyperParameters', 'learningRateMultiplier'],\n        fromLearningRateMultiplier,\n      );\n    }\n  } else if (discriminatorLearningRateMultiplier === 'PREFERENCE_TUNING') {\n    const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n      'learningRateMultiplier',\n    ]);\n    if (parentObject !== undefined && fromLearningRateMultiplier != null) {\n      common.setValueByPath(\n        parentObject,\n        [\n          'preferenceOptimizationSpec',\n          'hyperParameters',\n          'learningRateMultiplier',\n        ],\n        fromLearningRateMultiplier,\n      );\n    }\n  } else if (discriminatorLearningRateMultiplier === 'DISTILLATION') {\n    const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n      'learningRateMultiplier',\n    ]);\n    if (parentObject !== undefined && fromLearningRateMultiplier != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'hyperParameters', 'learningRateMultiplier'],\n        fromLearningRateMultiplier,\n      );\n    }\n  } else if (discriminatorLearningRateMultiplier === 'REINFORCEMENT_TUNING') {\n    const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n      'learningRateMultiplier',\n    ]);\n    if (parentObject !== undefined && fromLearningRateMultiplier != null) {\n      common.setValueByPath(\n        parentObject,\n        [\n          'reinforcementTuningSpec',\n          'hyperParameters',\n          'learningRateMultiplier',\n        ],\n        fromLearningRateMultiplier,\n      );\n    }\n  }\n\n  let discriminatorExportLastCheckpointOnly = common.getValueByPath(\n    rootObject,\n    ['config', 'method'],\n  );\n  if (discriminatorExportLastCheckpointOnly === undefined) {\n    discriminatorExportLastCheckpointOnly = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorExportLastCheckpointOnly === 'SUPERVISED_FINE_TUNING') {\n    const fromExportLastCheckpointOnly = common.getValueByPath(fromObject, [\n      'exportLastCheckpointOnly',\n    ]);\n    if (parentObject !== undefined && fromExportLastCheckpointOnly != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'exportLastCheckpointOnly'],\n        fromExportLastCheckpointOnly,\n      );\n    }\n  } else if (discriminatorExportLastCheckpointOnly === 'PREFERENCE_TUNING') {\n    const fromExportLastCheckpointOnly = common.getValueByPath(fromObject, [\n      'exportLastCheckpointOnly',\n    ]);\n    if (parentObject !== undefined && fromExportLastCheckpointOnly != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec', 'exportLastCheckpointOnly'],\n        fromExportLastCheckpointOnly,\n      );\n    }\n  } else if (discriminatorExportLastCheckpointOnly === 'DISTILLATION') {\n    const fromExportLastCheckpointOnly = common.getValueByPath(fromObject, [\n      'exportLastCheckpointOnly',\n    ]);\n    if (parentObject !== undefined && fromExportLastCheckpointOnly != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'exportLastCheckpointOnly'],\n        fromExportLastCheckpointOnly,\n      );\n    }\n  }\n\n  let discriminatorAdapterSize = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorAdapterSize === undefined) {\n    discriminatorAdapterSize = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorAdapterSize === 'SUPERVISED_FINE_TUNING') {\n    const fromAdapterSize = common.getValueByPath(fromObject, ['adapterSize']);\n    if (parentObject !== undefined && fromAdapterSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'hyperParameters', 'adapterSize'],\n        fromAdapterSize,\n      );\n    }\n  } else if (discriminatorAdapterSize === 'PREFERENCE_TUNING') {\n    const fromAdapterSize = common.getValueByPath(fromObject, ['adapterSize']);\n    if (parentObject !== undefined && fromAdapterSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec', 'hyperParameters', 'adapterSize'],\n        fromAdapterSize,\n      );\n    }\n  } else if (discriminatorAdapterSize === 'DISTILLATION') {\n    const fromAdapterSize = common.getValueByPath(fromObject, ['adapterSize']);\n    if (parentObject !== undefined && fromAdapterSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'hyperParameters', 'adapterSize'],\n        fromAdapterSize,\n      );\n    }\n  } else if (discriminatorAdapterSize === 'REINFORCEMENT_TUNING') {\n    const fromAdapterSize = common.getValueByPath(fromObject, ['adapterSize']);\n    if (parentObject !== undefined && fromAdapterSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec', 'hyperParameters', 'adapterSize'],\n        fromAdapterSize,\n      );\n    }\n  }\n\n  let discriminatorTuningMode = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorTuningMode === undefined) {\n    discriminatorTuningMode = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorTuningMode === 'SUPERVISED_FINE_TUNING') {\n    const fromTuningMode = common.getValueByPath(fromObject, ['tuningMode']);\n    if (parentObject !== undefined && fromTuningMode != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'tuningMode'],\n        fromTuningMode,\n      );\n    }\n  } else if (discriminatorTuningMode === 'DISTILLATION') {\n    const fromTuningMode = common.getValueByPath(fromObject, ['tuningMode']);\n    if (parentObject !== undefined && fromTuningMode != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'tuningMode'],\n        fromTuningMode,\n      );\n    }\n  }\n\n  const fromCustomBaseModel = common.getValueByPath(fromObject, [\n    'customBaseModel',\n  ]);\n  if (parentObject !== undefined && fromCustomBaseModel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['customBaseModel'],\n      fromCustomBaseModel,\n    );\n  }\n\n  let discriminatorBatchSize = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorBatchSize === undefined) {\n    discriminatorBatchSize = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorBatchSize === 'SUPERVISED_FINE_TUNING') {\n    const fromBatchSize = common.getValueByPath(fromObject, ['batchSize']);\n    if (parentObject !== undefined && fromBatchSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'hyperParameters', 'batchSize'],\n        fromBatchSize,\n      );\n    }\n  } else if (discriminatorBatchSize === 'DISTILLATION') {\n    const fromBatchSize = common.getValueByPath(fromObject, ['batchSize']);\n    if (parentObject !== undefined && fromBatchSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'hyperParameters', 'batchSize'],\n        fromBatchSize,\n      );\n    }\n  } else if (discriminatorBatchSize === 'REINFORCEMENT_TUNING') {\n    const fromBatchSize = common.getValueByPath(fromObject, ['batchSize']);\n    if (parentObject !== undefined && fromBatchSize != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec', 'hyperParameters', 'batchSize'],\n        fromBatchSize,\n      );\n    }\n  }\n\n  let discriminatorLearningRate = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorLearningRate === undefined) {\n    discriminatorLearningRate = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorLearningRate === 'SUPERVISED_FINE_TUNING') {\n    const fromLearningRate = common.getValueByPath(fromObject, [\n      'learningRate',\n    ]);\n    if (parentObject !== undefined && fromLearningRate != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'hyperParameters', 'learningRate'],\n        fromLearningRate,\n      );\n    }\n  } else if (discriminatorLearningRate === 'DISTILLATION') {\n    const fromLearningRate = common.getValueByPath(fromObject, [\n      'learningRate',\n    ]);\n    if (parentObject !== undefined && fromLearningRate != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'hyperParameters', 'learningRate'],\n        fromLearningRate,\n      );\n    }\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (parentObject !== undefined && fromLabels != null) {\n    common.setValueByPath(parentObject, ['labels'], fromLabels);\n  }\n\n  const fromBeta = common.getValueByPath(fromObject, ['beta']);\n  if (parentObject !== undefined && fromBeta != null) {\n    common.setValueByPath(\n      parentObject,\n      ['preferenceOptimizationSpec', 'hyperParameters', 'beta'],\n      fromBeta,\n    );\n  }\n\n  const fromBaseTeacherModel = common.getValueByPath(fromObject, [\n    'baseTeacherModel',\n  ]);\n  if (parentObject !== undefined && fromBaseTeacherModel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['distillationSpec', 'baseTeacherModel'],\n      fromBaseTeacherModel,\n    );\n  }\n\n  const fromTunedTeacherModelSource = common.getValueByPath(fromObject, [\n    'tunedTeacherModelSource',\n  ]);\n  if (parentObject !== undefined && fromTunedTeacherModelSource != null) {\n    common.setValueByPath(\n      parentObject,\n      ['distillationSpec', 'tunedTeacherModelSource'],\n      fromTunedTeacherModelSource,\n    );\n  }\n\n  const fromSftLossWeightMultiplier = common.getValueByPath(fromObject, [\n    'sftLossWeightMultiplier',\n  ]);\n  if (parentObject !== undefined && fromSftLossWeightMultiplier != null) {\n    common.setValueByPath(\n      parentObject,\n      ['distillationSpec', 'hyperParameters', 'sftLossWeightMultiplier'],\n      fromSftLossWeightMultiplier,\n    );\n  }\n\n  const fromOutputUri = common.getValueByPath(fromObject, ['outputUri']);\n  if (parentObject !== undefined && fromOutputUri != null) {\n    common.setValueByPath(parentObject, ['outputUri'], fromOutputUri);\n  }\n\n  const fromEncryptionSpec = common.getValueByPath(fromObject, [\n    'encryptionSpec',\n  ]);\n  if (parentObject !== undefined && fromEncryptionSpec != null) {\n    common.setValueByPath(parentObject, ['encryptionSpec'], fromEncryptionSpec);\n  }\n\n  const fromRewardConfig = common.getValueByPath(fromObject, ['rewardConfig']);\n  if (parentObject !== undefined && fromRewardConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'singleRewardConfig'],\n      fromRewardConfig,\n    );\n  }\n\n  const fromCompositeRewardConfig = common.getValueByPath(fromObject, [\n    'compositeRewardConfig',\n  ]);\n  if (parentObject !== undefined && fromCompositeRewardConfig != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'compositeRewardConfig'],\n      fromCompositeRewardConfig,\n    );\n  }\n\n  const fromSamplesPerPrompt = common.getValueByPath(fromObject, [\n    'samplesPerPrompt',\n  ]);\n  if (parentObject !== undefined && fromSamplesPerPrompt != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'hyperParameters', 'samplesPerPrompt'],\n      fromSamplesPerPrompt,\n    );\n  }\n\n  const fromEvaluateInterval = common.getValueByPath(fromObject, [\n    'evaluateInterval',\n  ]);\n  if (parentObject !== undefined && fromEvaluateInterval != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'hyperParameters', 'evaluateInterval'],\n      fromEvaluateInterval,\n    );\n  }\n\n  const fromCheckpointInterval = common.getValueByPath(fromObject, [\n    'checkpointInterval',\n  ]);\n  if (parentObject !== undefined && fromCheckpointInterval != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'hyperParameters', 'checkpointInterval'],\n      fromCheckpointInterval,\n    );\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (parentObject !== undefined && fromMaxOutputTokens != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'hyperParameters', 'maxOutputTokens'],\n      fromMaxOutputTokens,\n    );\n  }\n\n  const fromThinkingLevel = common.getValueByPath(fromObject, [\n    'thinkingLevel',\n  ]);\n  if (parentObject !== undefined && fromThinkingLevel != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'hyperParameters', 'thinkingLevel'],\n      fromThinkingLevel,\n    );\n  }\n\n  const fromValidationDatasetUri = common.getValueByPath(fromObject, [\n    'validationDatasetUri',\n  ]);\n  if (parentObject !== undefined && fromValidationDatasetUri != null) {\n    common.setValueByPath(\n      parentObject,\n      ['reinforcementTuningSpec', 'validationDatasetUri'],\n      fromValidationDatasetUri,\n    );\n  }\n\n  return toObject;\n}\n\nexport function createTuningJobParametersPrivateToMldev(\n  fromObject: types.CreateTuningJobParametersPrivate,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBaseModel = common.getValueByPath(fromObject, ['baseModel']);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromPreTunedModel = common.getValueByPath(fromObject, [\n    'preTunedModel',\n  ]);\n  if (fromPreTunedModel != null) {\n    common.setValueByPath(toObject, ['preTunedModel'], fromPreTunedModel);\n  }\n\n  const fromTrainingDataset = common.getValueByPath(fromObject, [\n    'trainingDataset',\n  ]);\n  if (fromTrainingDataset != null) {\n    tuningDatasetToMldev(fromTrainingDataset, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createTuningJobConfigToMldev(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function createTuningJobParametersPrivateToVertex(\n  fromObject: types.CreateTuningJobParametersPrivate,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBaseModel = common.getValueByPath(fromObject, ['baseModel']);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromPreTunedModel = common.getValueByPath(fromObject, [\n    'preTunedModel',\n  ]);\n  if (fromPreTunedModel != null) {\n    common.setValueByPath(toObject, ['preTunedModel'], fromPreTunedModel);\n  }\n\n  const fromTrainingDataset = common.getValueByPath(fromObject, [\n    'trainingDataset',\n  ]);\n  if (fromTrainingDataset != null) {\n    tuningDatasetToVertex(fromTrainingDataset, toObject, rootObject);\n  }\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    createTuningJobConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function distillationHyperParametersFromVertex(\n  fromObject: types.DistillationHyperParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromAdapterSize = common.getValueByPath(fromObject, ['adapterSize']);\n  if (fromAdapterSize != null) {\n    common.setValueByPath(toObject, ['adapterSize'], fromAdapterSize);\n  }\n\n  const fromEpochCount = common.getValueByPath(fromObject, ['epochCount']);\n  if (fromEpochCount != null) {\n    common.setValueByPath(toObject, ['epochCount'], fromEpochCount);\n  }\n\n  const fromLearningRateMultiplier = common.getValueByPath(fromObject, [\n    'learningRateMultiplier',\n  ]);\n  if (fromLearningRateMultiplier != null) {\n    common.setValueByPath(\n      toObject,\n      ['learningRateMultiplier'],\n      fromLearningRateMultiplier,\n    );\n  }\n\n  const fromGenerationConfig = common.getValueByPath(fromObject, [\n    'generationConfig',\n  ]);\n  if (fromGenerationConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['generationConfig'],\n      generationConfigFromVertex(fromGenerationConfig, rootObject),\n    );\n  }\n\n  const fromLearningRate = common.getValueByPath(fromObject, ['learningRate']);\n  if (fromLearningRate != null) {\n    common.setValueByPath(toObject, ['learningRate'], fromLearningRate);\n  }\n\n  const fromBatchSize = common.getValueByPath(fromObject, ['batchSize']);\n  if (fromBatchSize != null) {\n    common.setValueByPath(toObject, ['batchSize'], fromBatchSize);\n  }\n\n  return toObject;\n}\n\nexport function distillationSamplingSpecFromVertex(\n  fromObject: types.DistillationSamplingSpec,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromBaseTeacherModel = common.getValueByPath(fromObject, [\n    'baseTeacherModel',\n  ]);\n  if (fromBaseTeacherModel != null) {\n    common.setValueByPath(toObject, ['baseTeacherModel'], fromBaseTeacherModel);\n  }\n\n  const fromTunedTeacherModelSource = common.getValueByPath(fromObject, [\n    'tunedTeacherModelSource',\n  ]);\n  if (fromTunedTeacherModelSource != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedTeacherModelSource'],\n      fromTunedTeacherModelSource,\n    );\n  }\n\n  const fromValidationDatasetUri = common.getValueByPath(fromObject, [\n    'validationDatasetUri',\n  ]);\n  if (fromValidationDatasetUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['validationDatasetUri'],\n      fromValidationDatasetUri,\n    );\n  }\n\n  const fromPromptDatasetUri = common.getValueByPath(fromObject, [\n    'promptDatasetUri',\n  ]);\n  if (fromPromptDatasetUri != null) {\n    common.setValueByPath(toObject, ['promptDatasetUri'], fromPromptDatasetUri);\n  }\n\n  const fromHyperparameters = common.getValueByPath(fromObject, [\n    'hyperparameters',\n  ]);\n  if (fromHyperparameters != null) {\n    common.setValueByPath(\n      toObject,\n      ['hyperparameters'],\n      distillationHyperParametersFromVertex(fromHyperparameters, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function distillationSpecFromVertex(\n  fromObject: types.DistillationSpec,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPromptDatasetUri = common.getValueByPath(fromObject, [\n    'promptDatasetUri',\n  ]);\n  if (fromPromptDatasetUri != null) {\n    common.setValueByPath(toObject, ['promptDatasetUri'], fromPromptDatasetUri);\n  }\n\n  const fromBaseTeacherModel = common.getValueByPath(fromObject, [\n    'baseTeacherModel',\n  ]);\n  if (fromBaseTeacherModel != null) {\n    common.setValueByPath(toObject, ['baseTeacherModel'], fromBaseTeacherModel);\n  }\n\n  const fromHyperParameters = common.getValueByPath(fromObject, [\n    'hyperParameters',\n  ]);\n  if (fromHyperParameters != null) {\n    common.setValueByPath(\n      toObject,\n      ['hyperParameters'],\n      distillationHyperParametersFromVertex(fromHyperParameters, rootObject),\n    );\n  }\n\n  const fromPipelineRootDirectory = common.getValueByPath(fromObject, [\n    'pipelineRootDirectory',\n  ]);\n  if (fromPipelineRootDirectory != null) {\n    common.setValueByPath(\n      toObject,\n      ['pipelineRootDirectory'],\n      fromPipelineRootDirectory,\n    );\n  }\n\n  const fromStudentModel = common.getValueByPath(fromObject, ['studentModel']);\n  if (fromStudentModel != null) {\n    common.setValueByPath(toObject, ['studentModel'], fromStudentModel);\n  }\n\n  const fromTrainingDatasetUri = common.getValueByPath(fromObject, [\n    'trainingDatasetUri',\n  ]);\n  if (fromTrainingDatasetUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['trainingDatasetUri'],\n      fromTrainingDatasetUri,\n    );\n  }\n\n  const fromTunedTeacherModelSource = common.getValueByPath(fromObject, [\n    'tunedTeacherModelSource',\n  ]);\n  if (fromTunedTeacherModelSource != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedTeacherModelSource'],\n      fromTunedTeacherModelSource,\n    );\n  }\n\n  const fromValidationDatasetUri = common.getValueByPath(fromObject, [\n    'validationDatasetUri',\n  ]);\n  if (fromValidationDatasetUri != null) {\n    common.setValueByPath(\n      toObject,\n      ['validationDatasetUri'],\n      fromValidationDatasetUri,\n    );\n  }\n\n  const fromTuningMode = common.getValueByPath(fromObject, ['tuningMode']);\n  if (fromTuningMode != null) {\n    common.setValueByPath(toObject, ['tuningMode'], fromTuningMode);\n  }\n\n  return toObject;\n}\n\nexport function executableCodeToVertex(\n  fromObject: types.ExecutableCode,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromCode = common.getValueByPath(fromObject, ['code']);\n  if (fromCode != null) {\n    common.setValueByPath(toObject, ['code'], fromCode);\n  }\n\n  const fromLanguage = common.getValueByPath(fromObject, ['language']);\n  if (fromLanguage != null) {\n    common.setValueByPath(toObject, ['language'], fromLanguage);\n  }\n\n  if (common.getValueByPath(fromObject, ['id']) !== undefined) {\n    throw new Error(\n      'id parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function generationConfigFromVertex(\n  fromObject: types.GenerationConfig,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModelSelectionConfig = common.getValueByPath(fromObject, [\n    'modelConfig',\n  ]);\n  if (fromModelSelectionConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['modelSelectionConfig'],\n      fromModelSelectionConfig,\n    );\n  }\n\n  const fromResponseJsonSchema = common.getValueByPath(fromObject, [\n    'responseJsonSchema',\n  ]);\n  if (fromResponseJsonSchema != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseJsonSchema'],\n      fromResponseJsonSchema,\n    );\n  }\n\n  const fromAudioTimestamp = common.getValueByPath(fromObject, [\n    'audioTimestamp',\n  ]);\n  if (fromAudioTimestamp != null) {\n    common.setValueByPath(toObject, ['audioTimestamp'], fromAudioTimestamp);\n  }\n\n  const fromCandidateCount = common.getValueByPath(fromObject, [\n    'candidateCount',\n  ]);\n  if (fromCandidateCount != null) {\n    common.setValueByPath(toObject, ['candidateCount'], fromCandidateCount);\n  }\n\n  const fromEnableAffectiveDialog = common.getValueByPath(fromObject, [\n    'enableAffectiveDialog',\n  ]);\n  if (fromEnableAffectiveDialog != null) {\n    common.setValueByPath(\n      toObject,\n      ['enableAffectiveDialog'],\n      fromEnableAffectiveDialog,\n    );\n  }\n\n  const fromFrequencyPenalty = common.getValueByPath(fromObject, [\n    'frequencyPenalty',\n  ]);\n  if (fromFrequencyPenalty != null) {\n    common.setValueByPath(toObject, ['frequencyPenalty'], fromFrequencyPenalty);\n  }\n\n  const fromLogprobs = common.getValueByPath(fromObject, ['logprobs']);\n  if (fromLogprobs != null) {\n    common.setValueByPath(toObject, ['logprobs'], fromLogprobs);\n  }\n\n  const fromMaxOutputTokens = common.getValueByPath(fromObject, [\n    'maxOutputTokens',\n  ]);\n  if (fromMaxOutputTokens != null) {\n    common.setValueByPath(toObject, ['maxOutputTokens'], fromMaxOutputTokens);\n  }\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromPresencePenalty = common.getValueByPath(fromObject, [\n    'presencePenalty',\n  ]);\n  if (fromPresencePenalty != null) {\n    common.setValueByPath(toObject, ['presencePenalty'], fromPresencePenalty);\n  }\n\n  const fromResponseLogprobs = common.getValueByPath(fromObject, [\n    'responseLogprobs',\n  ]);\n  if (fromResponseLogprobs != null) {\n    common.setValueByPath(toObject, ['responseLogprobs'], fromResponseLogprobs);\n  }\n\n  const fromResponseMimeType = common.getValueByPath(fromObject, [\n    'responseMimeType',\n  ]);\n  if (fromResponseMimeType != null) {\n    common.setValueByPath(toObject, ['responseMimeType'], fromResponseMimeType);\n  }\n\n  const fromResponseModalities = common.getValueByPath(fromObject, [\n    'responseModalities',\n  ]);\n  if (fromResponseModalities != null) {\n    common.setValueByPath(\n      toObject,\n      ['responseModalities'],\n      fromResponseModalities,\n    );\n  }\n\n  const fromResponseSchema = common.getValueByPath(fromObject, [\n    'responseSchema',\n  ]);\n  if (fromResponseSchema != null) {\n    common.setValueByPath(toObject, ['responseSchema'], fromResponseSchema);\n  }\n\n  const fromRoutingConfig = common.getValueByPath(fromObject, [\n    'routingConfig',\n  ]);\n  if (fromRoutingConfig != null) {\n    common.setValueByPath(toObject, ['routingConfig'], fromRoutingConfig);\n  }\n\n  const fromSeed = common.getValueByPath(fromObject, ['seed']);\n  if (fromSeed != null) {\n    common.setValueByPath(toObject, ['seed'], fromSeed);\n  }\n\n  const fromSpeechConfig = common.getValueByPath(fromObject, ['speechConfig']);\n  if (fromSpeechConfig != null) {\n    common.setValueByPath(toObject, ['speechConfig'], fromSpeechConfig);\n  }\n\n  const fromStopSequences = common.getValueByPath(fromObject, [\n    'stopSequences',\n  ]);\n  if (fromStopSequences != null) {\n    common.setValueByPath(toObject, ['stopSequences'], fromStopSequences);\n  }\n\n  const fromTemperature = common.getValueByPath(fromObject, ['temperature']);\n  if (fromTemperature != null) {\n    common.setValueByPath(toObject, ['temperature'], fromTemperature);\n  }\n\n  const fromThinkingConfig = common.getValueByPath(fromObject, [\n    'thinkingConfig',\n  ]);\n  if (fromThinkingConfig != null) {\n    common.setValueByPath(toObject, ['thinkingConfig'], fromThinkingConfig);\n  }\n\n  const fromTopK = common.getValueByPath(fromObject, ['topK']);\n  if (fromTopK != null) {\n    common.setValueByPath(toObject, ['topK'], fromTopK);\n  }\n\n  const fromTopP = common.getValueByPath(fromObject, ['topP']);\n  if (fromTopP != null) {\n    common.setValueByPath(toObject, ['topP'], fromTopP);\n  }\n\n  const fromResponseFormat = common.getValueByPath(fromObject, [\n    'responseFormat',\n  ]);\n  if (fromResponseFormat != null) {\n    let transformedList = fromResponseFormat;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['responseFormat'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function getTuningJobParametersToMldev(\n  fromObject: types.GetTuningJobParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function getTuningJobParametersToVertex(\n  fromObject: types.GetTuningJobParameters,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['_url', 'name'], fromName);\n  }\n\n  return toObject;\n}\n\nexport function listTuningJobsConfigToVertex(\n  fromObject: types.ListTuningJobsConfig,\n  parentObject: Record<string, unknown>,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromPageSize = common.getValueByPath(fromObject, ['pageSize']);\n  if (parentObject !== undefined && fromPageSize != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageSize'], fromPageSize);\n  }\n\n  const fromPageToken = common.getValueByPath(fromObject, ['pageToken']);\n  if (parentObject !== undefined && fromPageToken != null) {\n    common.setValueByPath(parentObject, ['_query', 'pageToken'], fromPageToken);\n  }\n\n  const fromFilter = common.getValueByPath(fromObject, ['filter']);\n  if (parentObject !== undefined && fromFilter != null) {\n    common.setValueByPath(parentObject, ['_query', 'filter'], fromFilter);\n  }\n\n  return toObject;\n}\n\nexport function listTuningJobsParametersToVertex(\n  fromObject: types.ListTuningJobsParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromConfig = common.getValueByPath(fromObject, ['config']);\n  if (fromConfig != null) {\n    listTuningJobsConfigToVertex(fromConfig, toObject, rootObject);\n  }\n\n  return toObject;\n}\n\nexport function listTuningJobsResponseFromVertex(\n  fromObject: types.ListTuningJobsResponse,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromNextPageToken = common.getValueByPath(fromObject, [\n    'nextPageToken',\n  ]);\n  if (fromNextPageToken != null) {\n    common.setValueByPath(toObject, ['nextPageToken'], fromNextPageToken);\n  }\n\n  const fromTuningJobs = common.getValueByPath(fromObject, ['tuningJobs']);\n  if (fromTuningJobs != null) {\n    let transformedList = fromTuningJobs;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return tuningJobFromVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['tuningJobs'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function partToVertex(\n  fromObject: types.Part,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromMediaResolution = common.getValueByPath(fromObject, [\n    'mediaResolution',\n  ]);\n  if (fromMediaResolution != null) {\n    common.setValueByPath(toObject, ['mediaResolution'], fromMediaResolution);\n  }\n\n  const fromCodeExecutionResult = common.getValueByPath(fromObject, [\n    'codeExecutionResult',\n  ]);\n  if (fromCodeExecutionResult != null) {\n    common.setValueByPath(\n      toObject,\n      ['codeExecutionResult'],\n      codeExecutionResultToVertex(fromCodeExecutionResult, rootObject),\n    );\n  }\n\n  const fromExecutableCode = common.getValueByPath(fromObject, [\n    'executableCode',\n  ]);\n  if (fromExecutableCode != null) {\n    common.setValueByPath(\n      toObject,\n      ['executableCode'],\n      executableCodeToVertex(fromExecutableCode, rootObject),\n    );\n  }\n\n  const fromFileData = common.getValueByPath(fromObject, ['fileData']);\n  if (fromFileData != null) {\n    common.setValueByPath(toObject, ['fileData'], fromFileData);\n  }\n\n  const fromFunctionCall = common.getValueByPath(fromObject, ['functionCall']);\n  if (fromFunctionCall != null) {\n    common.setValueByPath(toObject, ['functionCall'], fromFunctionCall);\n  }\n\n  const fromFunctionResponse = common.getValueByPath(fromObject, [\n    'functionResponse',\n  ]);\n  if (fromFunctionResponse != null) {\n    common.setValueByPath(toObject, ['functionResponse'], fromFunctionResponse);\n  }\n\n  const fromInlineData = common.getValueByPath(fromObject, ['inlineData']);\n  if (fromInlineData != null) {\n    common.setValueByPath(toObject, ['inlineData'], fromInlineData);\n  }\n\n  const fromText = common.getValueByPath(fromObject, ['text']);\n  if (fromText != null) {\n    common.setValueByPath(toObject, ['text'], fromText);\n  }\n\n  const fromThought = common.getValueByPath(fromObject, ['thought']);\n  if (fromThought != null) {\n    common.setValueByPath(toObject, ['thought'], fromThought);\n  }\n\n  const fromThoughtSignature = common.getValueByPath(fromObject, [\n    'thoughtSignature',\n  ]);\n  if (fromThoughtSignature != null) {\n    common.setValueByPath(toObject, ['thoughtSignature'], fromThoughtSignature);\n  }\n\n  const fromVideoMetadata = common.getValueByPath(fromObject, [\n    'videoMetadata',\n  ]);\n  if (fromVideoMetadata != null) {\n    common.setValueByPath(toObject, ['videoMetadata'], fromVideoMetadata);\n  }\n\n  if (common.getValueByPath(fromObject, ['toolCall']) !== undefined) {\n    throw new Error(\n      'toolCall parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['toolResponse']) !== undefined) {\n    throw new Error(\n      'toolResponse parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  if (common.getValueByPath(fromObject, ['partMetadata']) !== undefined) {\n    throw new Error(\n      'partMetadata parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function reinforcementTuningExampleToVertex(\n  fromObject: types.ReinforcementTuningExample,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromContents = common.getValueByPath(fromObject, ['contents']);\n  if (fromContents != null) {\n    let transformedList = fromContents;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return contentToVertex(item, rootObject);\n      });\n    }\n    common.setValueByPath(toObject, ['contents'], transformedList);\n  }\n\n  const fromReferences = common.getValueByPath(fromObject, ['references']);\n  if (fromReferences != null) {\n    common.setValueByPath(toObject, ['references'], fromReferences);\n  }\n\n  const fromSystemInstruction = common.getValueByPath(fromObject, [\n    'systemInstruction',\n  ]);\n  if (fromSystemInstruction != null) {\n    common.setValueByPath(\n      toObject,\n      ['systemInstruction'],\n      contentToVertex(fromSystemInstruction, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function tunedModelFromMldev(\n  fromObject: types.TunedModel,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromModel = common.getValueByPath(fromObject, ['name']);\n  if (fromModel != null) {\n    common.setValueByPath(toObject, ['model'], fromModel);\n  }\n\n  const fromEndpoint = common.getValueByPath(fromObject, ['name']);\n  if (fromEndpoint != null) {\n    common.setValueByPath(toObject, ['endpoint'], fromEndpoint);\n  }\n\n  return toObject;\n}\n\nexport function tuningDatasetToMldev(\n  fromObject: types.TuningDataset,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  if (common.getValueByPath(fromObject, ['gcsUri']) !== undefined) {\n    throw new Error(\n      'gcsUri parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  if (\n    common.getValueByPath(fromObject, ['vertexDatasetResource']) !== undefined\n  ) {\n    throw new Error(\n      'vertexDatasetResource parameter is only supported in Gemini Enterprise Agent Platform mode, not in Gemini Developer API mode.',\n    );\n  }\n\n  const fromExamples = common.getValueByPath(fromObject, ['examples']);\n  if (fromExamples != null) {\n    let transformedList = fromExamples;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['examples', 'examples'], transformedList);\n  }\n\n  return toObject;\n}\n\nexport function tuningDatasetToVertex(\n  fromObject: types.TuningDataset,\n  parentObject: Record<string, unknown>,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  let discriminatorGcsUri = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorGcsUri === undefined) {\n    discriminatorGcsUri = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorGcsUri === 'SUPERVISED_FINE_TUNING') {\n    const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n    if (parentObject !== undefined && fromGcsUri != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'trainingDatasetUri'],\n        fromGcsUri,\n      );\n    }\n  } else if (discriminatorGcsUri === 'PREFERENCE_TUNING') {\n    const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n    if (parentObject !== undefined && fromGcsUri != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec', 'trainingDatasetUri'],\n        fromGcsUri,\n      );\n    }\n  } else if (discriminatorGcsUri === 'DISTILLATION') {\n    const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n    if (parentObject !== undefined && fromGcsUri != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'promptDatasetUri'],\n        fromGcsUri,\n      );\n    }\n  } else if (discriminatorGcsUri === 'REINFORCEMENT_TUNING') {\n    const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n    if (parentObject !== undefined && fromGcsUri != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec', 'trainingDatasetUri'],\n        fromGcsUri,\n      );\n    }\n  }\n\n  let discriminatorVertexDatasetResource = common.getValueByPath(rootObject, [\n    'config',\n    'method',\n  ]);\n  if (discriminatorVertexDatasetResource === undefined) {\n    discriminatorVertexDatasetResource = 'SUPERVISED_FINE_TUNING';\n  }\n  if (discriminatorVertexDatasetResource === 'SUPERVISED_FINE_TUNING') {\n    const fromVertexDatasetResource = common.getValueByPath(fromObject, [\n      'vertexDatasetResource',\n    ]);\n    if (parentObject !== undefined && fromVertexDatasetResource != null) {\n      common.setValueByPath(\n        parentObject,\n        ['supervisedTuningSpec', 'trainingDatasetUri'],\n        fromVertexDatasetResource,\n      );\n    }\n  } else if (discriminatorVertexDatasetResource === 'PREFERENCE_TUNING') {\n    const fromVertexDatasetResource = common.getValueByPath(fromObject, [\n      'vertexDatasetResource',\n    ]);\n    if (parentObject !== undefined && fromVertexDatasetResource != null) {\n      common.setValueByPath(\n        parentObject,\n        ['preferenceOptimizationSpec', 'trainingDatasetUri'],\n        fromVertexDatasetResource,\n      );\n    }\n  } else if (discriminatorVertexDatasetResource === 'DISTILLATION') {\n    const fromVertexDatasetResource = common.getValueByPath(fromObject, [\n      'vertexDatasetResource',\n    ]);\n    if (parentObject !== undefined && fromVertexDatasetResource != null) {\n      common.setValueByPath(\n        parentObject,\n        ['distillationSpec', 'promptDatasetUri'],\n        fromVertexDatasetResource,\n      );\n    }\n  } else if (discriminatorVertexDatasetResource === 'REINFORCEMENT_TUNING') {\n    const fromVertexDatasetResource = common.getValueByPath(fromObject, [\n      'vertexDatasetResource',\n    ]);\n    if (parentObject !== undefined && fromVertexDatasetResource != null) {\n      common.setValueByPath(\n        parentObject,\n        ['reinforcementTuningSpec', 'trainingDatasetUri'],\n        fromVertexDatasetResource,\n      );\n    }\n  }\n  if (common.getValueByPath(fromObject, ['examples']) !== undefined) {\n    throw new Error(\n      'examples parameter is only supported in Gemini Developer API mode, not in Gemini Enterprise Agent Platform mode.',\n    );\n  }\n\n  return toObject;\n}\n\nexport function tuningJobFromMldev(\n  fromObject: types.TuningJob,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromState = common.getValueByPath(fromObject, ['state']);\n  if (fromState != null) {\n    common.setValueByPath(toObject, ['state'], t.tTuningJobStatus(fromState));\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromStartTime = common.getValueByPath(fromObject, [\n    'tuningTask',\n    'startTime',\n  ]);\n  if (fromStartTime != null) {\n    common.setValueByPath(toObject, ['startTime'], fromStartTime);\n  }\n\n  const fromEndTime = common.getValueByPath(fromObject, [\n    'tuningTask',\n    'completeTime',\n  ]);\n  if (fromEndTime != null) {\n    common.setValueByPath(toObject, ['endTime'], fromEndTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, ['updateTime']);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (fromDescription != null) {\n    common.setValueByPath(toObject, ['description'], fromDescription);\n  }\n\n  const fromBaseModel = common.getValueByPath(fromObject, ['baseModel']);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromTunedModel = common.getValueByPath(fromObject, ['_self']);\n  if (fromTunedModel != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedModel'],\n      tunedModelFromMldev(fromTunedModel, rootObject),\n    );\n  }\n\n  return toObject;\n}\n\nexport function tuningJobFromVertex(\n  fromObject: types.TuningJob,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromState = common.getValueByPath(fromObject, ['state']);\n  if (fromState != null) {\n    common.setValueByPath(toObject, ['state'], t.tTuningJobStatus(fromState));\n  }\n\n  const fromCreateTime = common.getValueByPath(fromObject, ['createTime']);\n  if (fromCreateTime != null) {\n    common.setValueByPath(toObject, ['createTime'], fromCreateTime);\n  }\n\n  const fromStartTime = common.getValueByPath(fromObject, ['startTime']);\n  if (fromStartTime != null) {\n    common.setValueByPath(toObject, ['startTime'], fromStartTime);\n  }\n\n  const fromEndTime = common.getValueByPath(fromObject, ['endTime']);\n  if (fromEndTime != null) {\n    common.setValueByPath(toObject, ['endTime'], fromEndTime);\n  }\n\n  const fromUpdateTime = common.getValueByPath(fromObject, ['updateTime']);\n  if (fromUpdateTime != null) {\n    common.setValueByPath(toObject, ['updateTime'], fromUpdateTime);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromDescription = common.getValueByPath(fromObject, ['description']);\n  if (fromDescription != null) {\n    common.setValueByPath(toObject, ['description'], fromDescription);\n  }\n\n  const fromBaseModel = common.getValueByPath(fromObject, ['baseModel']);\n  if (fromBaseModel != null) {\n    common.setValueByPath(toObject, ['baseModel'], fromBaseModel);\n  }\n\n  const fromTunedModel = common.getValueByPath(fromObject, ['tunedModel']);\n  if (fromTunedModel != null) {\n    common.setValueByPath(toObject, ['tunedModel'], fromTunedModel);\n  }\n\n  const fromPreTunedModel = common.getValueByPath(fromObject, [\n    'preTunedModel',\n  ]);\n  if (fromPreTunedModel != null) {\n    common.setValueByPath(toObject, ['preTunedModel'], fromPreTunedModel);\n  }\n\n  const fromSupervisedTuningSpec = common.getValueByPath(fromObject, [\n    'supervisedTuningSpec',\n  ]);\n  if (fromSupervisedTuningSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['supervisedTuningSpec'],\n      fromSupervisedTuningSpec,\n    );\n  }\n\n  const fromPreferenceOptimizationSpec = common.getValueByPath(fromObject, [\n    'preferenceOptimizationSpec',\n  ]);\n  if (fromPreferenceOptimizationSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['preferenceOptimizationSpec'],\n      fromPreferenceOptimizationSpec,\n    );\n  }\n\n  const fromDistillationSpec = common.getValueByPath(fromObject, [\n    'distillationSpec',\n  ]);\n  if (fromDistillationSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['distillationSpec'],\n      distillationSpecFromVertex(fromDistillationSpec, rootObject),\n    );\n  }\n\n  const fromReinforcementTuningSpec = common.getValueByPath(fromObject, [\n    'reinforcementTuningSpec',\n  ]);\n  if (fromReinforcementTuningSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['reinforcementTuningSpec'],\n      fromReinforcementTuningSpec,\n    );\n  }\n\n  const fromTuningDataStats = common.getValueByPath(fromObject, [\n    'tuningDataStats',\n  ]);\n  if (fromTuningDataStats != null) {\n    common.setValueByPath(toObject, ['tuningDataStats'], fromTuningDataStats);\n  }\n\n  const fromEncryptionSpec = common.getValueByPath(fromObject, [\n    'encryptionSpec',\n  ]);\n  if (fromEncryptionSpec != null) {\n    common.setValueByPath(toObject, ['encryptionSpec'], fromEncryptionSpec);\n  }\n\n  const fromPartnerModelTuningSpec = common.getValueByPath(fromObject, [\n    'partnerModelTuningSpec',\n  ]);\n  if (fromPartnerModelTuningSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['partnerModelTuningSpec'],\n      fromPartnerModelTuningSpec,\n    );\n  }\n\n  const fromCustomBaseModel = common.getValueByPath(fromObject, [\n    'customBaseModel',\n  ]);\n  if (fromCustomBaseModel != null) {\n    common.setValueByPath(toObject, ['customBaseModel'], fromCustomBaseModel);\n  }\n\n  const fromEvaluateDatasetRuns = common.getValueByPath(fromObject, [\n    'evaluateDatasetRuns',\n  ]);\n  if (fromEvaluateDatasetRuns != null) {\n    let transformedList = fromEvaluateDatasetRuns;\n    if (Array.isArray(transformedList)) {\n      transformedList = transformedList.map((item) => {\n        return item;\n      });\n    }\n    common.setValueByPath(toObject, ['evaluateDatasetRuns'], transformedList);\n  }\n\n  const fromExperiment = common.getValueByPath(fromObject, ['experiment']);\n  if (fromExperiment != null) {\n    common.setValueByPath(toObject, ['experiment'], fromExperiment);\n  }\n\n  const fromFullFineTuningSpec = common.getValueByPath(fromObject, [\n    'fullFineTuningSpec',\n  ]);\n  if (fromFullFineTuningSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['fullFineTuningSpec'],\n      fromFullFineTuningSpec,\n    );\n  }\n\n  const fromLabels = common.getValueByPath(fromObject, ['labels']);\n  if (fromLabels != null) {\n    common.setValueByPath(toObject, ['labels'], fromLabels);\n  }\n\n  const fromOutputUri = common.getValueByPath(fromObject, ['outputUri']);\n  if (fromOutputUri != null) {\n    common.setValueByPath(toObject, ['outputUri'], fromOutputUri);\n  }\n\n  const fromPipelineJob = common.getValueByPath(fromObject, ['pipelineJob']);\n  if (fromPipelineJob != null) {\n    common.setValueByPath(toObject, ['pipelineJob'], fromPipelineJob);\n  }\n\n  const fromServiceAccount = common.getValueByPath(fromObject, [\n    'serviceAccount',\n  ]);\n  if (fromServiceAccount != null) {\n    common.setValueByPath(toObject, ['serviceAccount'], fromServiceAccount);\n  }\n\n  const fromTunedModelDisplayName = common.getValueByPath(fromObject, [\n    'tunedModelDisplayName',\n  ]);\n  if (fromTunedModelDisplayName != null) {\n    common.setValueByPath(\n      toObject,\n      ['tunedModelDisplayName'],\n      fromTunedModelDisplayName,\n    );\n  }\n\n  const fromTuningJobState = common.getValueByPath(fromObject, [\n    'tuningJobState',\n  ]);\n  if (fromTuningJobState != null) {\n    common.setValueByPath(toObject, ['tuningJobState'], fromTuningJobState);\n  }\n\n  const fromVeoTuningSpec = common.getValueByPath(fromObject, [\n    'veoTuningSpec',\n  ]);\n  if (fromVeoTuningSpec != null) {\n    common.setValueByPath(toObject, ['veoTuningSpec'], fromVeoTuningSpec);\n  }\n\n  const fromTuningJobMetadata = common.getValueByPath(fromObject, [\n    'tuningJobMetadata',\n  ]);\n  if (fromTuningJobMetadata != null) {\n    common.setValueByPath(\n      toObject,\n      ['tuningJobMetadata'],\n      fromTuningJobMetadata,\n    );\n  }\n\n  const fromVeoLoraTuningSpec = common.getValueByPath(fromObject, [\n    'veoLoraTuningSpec',\n  ]);\n  if (fromVeoLoraTuningSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['veoLoraTuningSpec'],\n      fromVeoLoraTuningSpec,\n    );\n  }\n\n  const fromDistillationSamplingSpec = common.getValueByPath(fromObject, [\n    'distillationSamplingSpec',\n  ]);\n  if (fromDistillationSamplingSpec != null) {\n    common.setValueByPath(\n      toObject,\n      ['distillationSamplingSpec'],\n      distillationSamplingSpecFromVertex(\n        fromDistillationSamplingSpec,\n        rootObject,\n      ),\n    );\n  }\n\n  return toObject;\n}\n\nexport function tuningOperationFromMldev(\n  fromObject: types.TuningOperation,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromName = common.getValueByPath(fromObject, ['name']);\n  if (fromName != null) {\n    common.setValueByPath(toObject, ['name'], fromName);\n  }\n\n  const fromMetadata = common.getValueByPath(fromObject, ['metadata']);\n  if (fromMetadata != null) {\n    common.setValueByPath(toObject, ['metadata'], fromMetadata);\n  }\n\n  const fromDone = common.getValueByPath(fromObject, ['done']);\n  if (fromDone != null) {\n    common.setValueByPath(toObject, ['done'], fromDone);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  return toObject;\n}\n\nexport function tuningValidationDatasetToVertex(\n  fromObject: types.TuningValidationDataset,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromGcsUri = common.getValueByPath(fromObject, ['gcsUri']);\n  if (fromGcsUri != null) {\n    common.setValueByPath(toObject, ['validationDatasetUri'], fromGcsUri);\n  }\n\n  const fromVertexDatasetResource = common.getValueByPath(fromObject, [\n    'vertexDatasetResource',\n  ]);\n  if (fromVertexDatasetResource != null) {\n    common.setValueByPath(\n      toObject,\n      ['validationDatasetUri'],\n      fromVertexDatasetResource,\n    );\n  }\n\n  return toObject;\n}\n\nexport function validateRewardParametersToVertex(\n  fromObject: types.ValidateRewardParameters,\n  rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromParent = common.getValueByPath(fromObject, ['parent']);\n  if (fromParent != null) {\n    common.setValueByPath(toObject, ['_url', 'parent'], fromParent);\n  }\n\n  const fromSampleResponse = common.getValueByPath(fromObject, [\n    'sampleResponse',\n  ]);\n  if (fromSampleResponse != null) {\n    common.setValueByPath(\n      toObject,\n      ['sampleResponse'],\n      contentToVertex(fromSampleResponse, rootObject),\n    );\n  }\n\n  const fromExample = common.getValueByPath(fromObject, ['example']);\n  if (fromExample != null) {\n    common.setValueByPath(\n      toObject,\n      ['example'],\n      reinforcementTuningExampleToVertex(fromExample, rootObject),\n    );\n  }\n\n  const fromSingleRewardConfig = common.getValueByPath(fromObject, [\n    'singleRewardConfig',\n  ]);\n  if (fromSingleRewardConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['singleRewardConfig'],\n      fromSingleRewardConfig,\n    );\n  }\n\n  const fromCompositeRewardConfig = common.getValueByPath(fromObject, [\n    'compositeRewardConfig',\n  ]);\n  if (fromCompositeRewardConfig != null) {\n    common.setValueByPath(\n      toObject,\n      ['compositeRewardConfig'],\n      fromCompositeRewardConfig,\n    );\n  }\n\n  return toObject;\n}\n\nexport function validateRewardResponseFromVertex(\n  fromObject: types.ValidateRewardResponse,\n  _rootObject?: unknown,\n): Record<string, unknown> {\n  const toObject: Record<string, unknown> = {};\n\n  const fromSdkHttpResponse = common.getValueByPath(fromObject, [\n    'sdkHttpResponse',\n  ]);\n  if (fromSdkHttpResponse != null) {\n    common.setValueByPath(toObject, ['sdkHttpResponse'], fromSdkHttpResponse);\n  }\n\n  const fromOverallReward = common.getValueByPath(fromObject, [\n    'overallReward',\n  ]);\n  if (fromOverallReward != null) {\n    common.setValueByPath(toObject, ['overallReward'], fromOverallReward);\n  }\n\n  const fromError = common.getValueByPath(fromObject, ['error']);\n  if (fromError != null) {\n    common.setValueByPath(toObject, ['error'], fromError);\n  }\n\n  const fromRewardInfoDetails = common.getValueByPath(fromObject, [\n    'rewardInfoDetails',\n  ]);\n  if (fromRewardInfoDetails != null) {\n    common.setValueByPath(\n      toObject,\n      ['rewardInfoDetails'],\n      fromRewardInfoDetails,\n    );\n  }\n\n  return toObject;\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\n// Code generated by the Google Gen AI SDK generator DO NOT EDIT.\n\nimport {ApiClient} from './_api_client.js';\nimport * as common from './_common.js';\nimport {BaseModule} from './_common.js';\nimport * as converters from './converters/_tunings_converters.js';\nimport {PagedItem, Pager} from './pagers.js';\nimport * as types from './types.js';\n\nexport class Tunings extends BaseModule {\n  constructor(private readonly apiClient: ApiClient) {\n    super();\n  }\n\n  /**\n   * Lists tuning jobs.\n   *\n   * @param params - The parameters for the list request.\n   * @return - A pager of tuning jobs.\n   *\n   * @example\n   * ```ts\n   * const tuningJobs = await ai.tunings.list({config: {'pageSize': 2}});\n   * for await (const tuningJob of tuningJobs) {\n   *   console.log(tuningJob);\n   * }\n   * ```\n   */\n  list = async (\n    params: types.ListTuningJobsParameters = {},\n  ): Promise<Pager<types.TuningJob>> => {\n    return new Pager<types.TuningJob>(\n      PagedItem.PAGED_ITEM_TUNING_JOBS,\n      (x: types.ListTuningJobsParameters) => this.listInternal(x),\n      await this.listInternal(params),\n      params,\n    );\n  };\n\n  /**\n   * Gets a TuningJob.\n   *\n   * @param name - The resource name of the tuning job.\n   * @return - A TuningJob object.\n   *\n   * @experimental - The SDK's tuning implementation is experimental, and may\n   * change in future versions.\n   */\n  get = async (\n    params: types.GetTuningJobParameters,\n  ): Promise<types.TuningJob> => {\n    return await this.getInternal(params);\n  };\n\n  /**\n   * Creates a supervised fine-tuning job.\n   *\n   * @param params - The parameters for the tuning job.\n   * @return - A TuningJob operation.\n   *\n   * @experimental - The SDK's tuning implementation is experimental, and may\n   * change in future versions.\n   */\n  tune = async (\n    params: types.CreateTuningJobParameters,\n  ): Promise<types.TuningJob> => {\n    if (this.apiClient.isVertexAI()) {\n      if (params.baseModel.startsWith('projects/')) {\n        const preTunedModel: types.PreTunedModel = {\n          tunedModelName: params.baseModel,\n        };\n        if (params.config?.preTunedModelCheckpointId) {\n          preTunedModel.checkpointId = params.config.preTunedModelCheckpointId;\n        }\n        const paramsPrivate: types.CreateTuningJobParametersPrivate = {\n          ...params,\n          preTunedModel: preTunedModel,\n        };\n        paramsPrivate.baseModel = undefined;\n        return await this.tuneInternal(paramsPrivate);\n      } else {\n        const paramsPrivate: types.CreateTuningJobParametersPrivate = {\n          ...params,\n        };\n        return await this.tuneInternal(paramsPrivate);\n      }\n    } else {\n      const paramsPrivate: types.CreateTuningJobParametersPrivate = {\n        ...params,\n      };\n      const operation = await this.tuneMldevInternal(paramsPrivate);\n      let tunedModelName = '';\n      if (\n        operation['metadata'] !== undefined &&\n        operation['metadata']['tunedModel'] !== undefined\n      ) {\n        tunedModelName = operation['metadata']['tunedModel'] as string;\n      } else if (\n        operation['name'] !== undefined &&\n        operation['name'].includes('/operations/')\n      ) {\n        tunedModelName = operation['name'].split('/operations/')[0];\n      }\n      const tuningJob: types.TuningJob = {\n        name: tunedModelName,\n        state: types.JobState.JOB_STATE_QUEUED,\n      };\n\n      return tuningJob;\n    }\n  };\n\n  private async getInternal(\n    params: types.GetTuningJobParameters,\n  ): Promise<types.TuningJob> {\n    let response: Promise<types.TuningJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.getTuningJobParametersToVertex(params, params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.TuningJob;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.TuningJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.tuningJobFromVertex(apiResponse, params);\n\n        return resp as types.TuningJob;\n      });\n    } else {\n      const body = converters.getTuningJobParametersToMldev(params, params);\n      path = common.formatMap(\n        '{name}',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.TuningJob;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.TuningJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.tuningJobFromMldev(apiResponse, params);\n\n        return resp as types.TuningJob;\n      });\n    }\n  }\n\n  private async listInternal(\n    params: types.ListTuningJobsParameters,\n  ): Promise<types.ListTuningJobsResponse> {\n    let response: Promise<types.ListTuningJobsResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.listTuningJobsParametersToVertex(params, params);\n      path = common.formatMap(\n        'tuningJobs',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'GET',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ListTuningJobsResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ListTuningJobsResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.listTuningJobsResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.ListTuningJobsResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  /**\n   * Cancels a tuning job.\n   *\n   * @param params - The parameters for the cancel request.\n   * @return The empty response returned by the API.\n   *\n   * @example\n   * ```ts\n   * await ai.tunings.cancel({name: '...'}); // The server-generated resource name.\n   * ```\n   */\n  async cancel(\n    params: types.CancelTuningJobParameters,\n  ): Promise<types.CancelTuningJobResponse> {\n    let response: Promise<types.CancelTuningJobResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.cancelTuningJobParametersToVertex(params, params);\n      path = common.formatMap(\n        '{name}:cancel',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.CancelTuningJobResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.CancelTuningJobResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.cancelTuningJobResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.CancelTuningJobResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      const body = converters.cancelTuningJobParametersToMldev(params, params);\n      path = common.formatMap(\n        '{name}:cancel',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.CancelTuningJobResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.CancelTuningJobResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.cancelTuningJobResponseFromMldev(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.CancelTuningJobResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    }\n  }\n\n  private async tuneInternal(\n    params: types.CreateTuningJobParametersPrivate,\n  ): Promise<types.TuningJob> {\n    let response: Promise<types.TuningJob>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.createTuningJobParametersPrivateToVertex(\n        params,\n        params,\n      );\n      path = common.formatMap(\n        'tuningJobs',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.TuningJob;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.TuningJob>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.tuningJobFromVertex(apiResponse, params);\n\n        return resp as types.TuningJob;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n\n  private async tuneMldevInternal(\n    params: types.CreateTuningJobParametersPrivate,\n  ): Promise<types.TuningOperation> {\n    let response: Promise<types.TuningOperation>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      throw new Error(\n        'This method is only supported by the Gemini Developer API.',\n      );\n    } else {\n      const body = converters.createTuningJobParametersPrivateToMldev(\n        params,\n        params,\n      );\n      path = common.formatMap(\n        'tunedModels',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.TuningOperation;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.TuningOperation>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.tuningOperationFromMldev(apiResponse, params);\n\n        return resp as types.TuningOperation;\n      });\n    }\n  }\n\n  async validateReward(\n    params: types.ValidateRewardParameters,\n  ): Promise<types.ValidateRewardResponse> {\n    let response: Promise<types.ValidateRewardResponse>;\n\n    let path: string = '';\n    let queryParams: Record<string, string> = {};\n    if (this.apiClient.isVertexAI()) {\n      const body = converters.validateRewardParametersToVertex(params, params);\n      path = common.formatMap(\n        '{parent}/tuningJobs:validateReinforcementTuningReward',\n        body['_url'] as Record<string, unknown>,\n      );\n      queryParams = body['_query'] as Record<string, string>;\n      delete body['_url'];\n      delete body['_query'];\n\n      response = this.apiClient\n        .request({\n          path: path,\n          queryParams: queryParams,\n          body: JSON.stringify(body),\n          httpMethod: 'POST',\n          httpOptions: params.config?.httpOptions,\n          abortSignal: params.config?.abortSignal,\n        })\n        .then((httpResponse) => {\n          return httpResponse.json().then((jsonResponse) => {\n            const response = jsonResponse as types.ValidateRewardResponse;\n            response.sdkHttpResponse = {\n              headers: httpResponse.headers,\n            } as types.HttpResponse;\n            return response;\n          });\n        }) as Promise<types.ValidateRewardResponse>;\n\n      return response.then((apiResponse) => {\n        const resp = converters.validateRewardResponseFromVertex(\n          apiResponse,\n          params,\n        );\n        const typedResp = new types.ValidateRewardResponse();\n        Object.assign(typedResp, resp);\n        return typedResp;\n      });\n    } else {\n      throw new Error(\n        'This method is only supported by the Gemini Enterprise Agent Platform (previously known as Vertex AI).',\n      );\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {Auth} from '../_auth.js';\n\nexport const GOOGLE_API_KEY_HEADER = 'x-goog-api-key';\n// TODO(b/395122533): We need a secure client side authentication mechanism.\nexport class WebAuth implements Auth {\n  constructor(private readonly apiKey: string) {}\n\n  // eslint-disable-next-line @typescript-eslint/no-unused-vars\n  async addAuthHeaders(headers: Headers, url?: string): Promise<void> {\n    if (headers.get(GOOGLE_API_KEY_HEADER) !== null) {\n      return;\n    }\n\n    if (this.apiKey.startsWith('auth_tokens/')) {\n      throw new Error('Ephemeral tokens are only supported by the live API.');\n    }\n\n    // Check if API key is empty or null\n    if (!this.apiKey) {\n      throw new Error('API key is missing. Please provide a valid API key.');\n    }\n    headers.append(GOOGLE_API_KEY_HEADER, this.apiKey);\n  }\n}\n","/**\n * @license\n * Copyright 2025 Google LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport {GoogleAuthOptions} from 'google-auth-library';\n\nimport {ApiClient} from './_api_client.js';\nimport {Batches} from './batches.js';\nimport {Caches} from './caches.js';\nimport {Chats} from './chats.js';\nimport {CrossDownloader} from './cross/_cross_downloader.js';\nimport {crossError} from './cross/_cross_error.js';\nimport {CrossUploader} from './cross/_cross_uploader.js';\nimport {CrossWebSocketFactory} from './cross/_cross_websocket.js';\nimport {Files} from './files.js';\nimport {FileSearchStores} from './filesearchstores.js';\nimport type {\n  GeminiNextGenAgents as Agents,\n  GeminiNextGenInteractions as Interactions,\n  GeminiNextGenWebhooks as Webhooks,\n} from './gaos/google-genai.js';\nimport {\n  buildGoogleGenAIClient,\n  GeminiNextGenAgents,\n  GeminiNextGenInteractions,\n  GeminiNextGenWebhooks,\n} from './gaos/google-genai.js';\nimport type {GoogleGenAI as GeminiNextGenAPI} from './gaos/sdk/sdk.js';\nimport {Live} from './live.js';\nimport {Models} from './models.js';\nimport {Operations} from './operations.js';\nimport {Tokens} from './tokens.js';\nimport {Tunings} from './tunings.js';\nimport {HttpOptions} from './types.js';\nimport {WebAuth} from './web/_web_auth.js';\n\nconst LANGUAGE_LABEL_PREFIX = 'gl-node/';\n\n/**\n * Google Gen AI SDK's configuration options.\n *\n * See {@link GoogleGenAI} for usage samples.\n */\nexport interface GoogleGenAIOptions {\n  /**\n   * Optional. Determines whether to use the Vertex AI or the Gemini API.\n   *\n   * @remarks\n   * When true, the {@link https://cloud.google.com/vertex-ai/docs/reference/rest | Gemini Enterprise Agent Platform API} will used.\n   * When false, the {@link https://ai.google.dev/api | Gemini API} will be used.\n   * When both enterprise and vertexai are set, and they have different values,\n   * an Error will be thrown.\n   *\n   * If unset, default SDK behavior is to use the Gemini API service.\n   */\n  enterprise?: boolean;\n  /**\n   * Optional. Determines whether to use the Vertex AI (now Gemini Enterprise Agent Platform) or the Gemini API.\n   * The `enterprise` flag is recommended instead.\n   *\n   * @remarks\n   * When true, the {@link https://cloud.google.com/vertex-ai/docs/reference/rest | Vertex AI API} will used.\n   * When false, the {@link https://ai.google.dev/api | Gemini API} will be used.\n   * When both enterprise and vertexai are set, and they have different values,\n   * an Error will be thrown.\n   *\n   * If unset, default SDK behavior is to use the Gemini API service.\n   */\n  vertexai?: boolean;\n  /**\n   * Optional. The Google Cloud project ID for Vertex AI clients.\n   *\n   * Find your project ID: https://cloud.google.com/resource-manager/docs/creating-managing-projects#identifying_projects\n   *\n   * @remarks\n   * Only supported on Node runtimes, ignored on browser runtimes.\n   */\n  project?: string;\n  /**\n   * Optional. The Google Cloud project {@link https://cloud.google.com/vertex-ai/generative-ai/docs/learn/locations | location} for Vertex AI clients.\n   *\n   * @remarks\n   * Only supported on Node runtimes, ignored on browser runtimes.\n   *\n   */\n  location?: string;\n  /**\n   * The API Key, required for Gemini API clients.\n   *\n   * @remarks\n   * Required on browser runtimes.\n   */\n  apiKey?: string;\n  /**\n   * Optional. The API version to use.\n   *\n   * @remarks\n   * If unset, the default API version will be used.\n   */\n  apiVersion?: string;\n  /**\n   * Optional. Authentication options defined by the by google-auth-library for Vertex AI clients.\n   *\n   * @remarks\n   * @see {@link https://github.com/googleapis/google-auth-library-nodejs/blob/v9.15.0/src/auth/googleauth.ts | GoogleAuthOptions interface in google-auth-library-nodejs}.\n   *\n   * Only supported on Node runtimes, ignored on browser runtimes.\n   *\n   */\n  googleAuthOptions?: GoogleAuthOptions;\n  /**\n   * Optional. A set of customizable configuration for HTTP requests.\n   */\n  httpOptions?: HttpOptions;\n}\n\n/**\n * The Google GenAI SDK.\n *\n * @remarks\n * Provides access to the GenAI features through either the {@link https://cloud.google.com/vertex-ai/docs/reference/rest | Gemini API}\n * or the {@link https://cloud.google.com/vertex-ai/docs/reference/rest | Vertex AI API}.\n *\n * The {@link GoogleGenAIOptions.vertexai} value determines which of the API services to use.\n *\n * When using the Gemini API, a {@link GoogleGenAIOptions.apiKey} must also be set,\n * when using Vertex AI {@link GoogleGenAIOptions.project} and {@link GoogleGenAIOptions.location} must also be set.\n *\n * @example\n * Initializing the SDK for using the Gemini API:\n * ```ts\n * import {GoogleGenAI} from '@google/genai';\n * const ai = new GoogleGenAI({apiKey: 'GEMINI_API_KEY'});\n * ```\n *\n * @example\n * Initializing the SDK for using the Vertex AI API:\n * ```ts\n * import {GoogleGenAI} from '@google/genai';\n * const ai = new GoogleGenAI({\n *   vertexai: true,\n *   project: 'PROJECT_ID',\n *   location: 'PROJECT_LOCATION'\n * });\n * ```\n *\n */\nexport class GoogleGenAI {\n  protected readonly apiClient: ApiClient;\n  private readonly apiKey?: string;\n  public readonly vertexai: boolean;\n  private readonly apiVersion?: string;\n  private readonly httpOptions?: HttpOptions;\n  readonly models: Models;\n  readonly live: Live;\n  readonly batches: Batches;\n  readonly chats: Chats;\n  readonly caches: Caches;\n  readonly files: Files;\n  readonly operations: Operations;\n  readonly authTokens: Tokens;\n  readonly tunings: Tunings;\n  readonly fileSearchStores: FileSearchStores;\n  private _interactions: GeminiNextGenInteractions | undefined;\n  private _webhooks: GeminiNextGenWebhooks | undefined;\n  private _agents: GeminiNextGenAgents | undefined;\n  private _nextGenClient: GeminiNextGenAPI | undefined;\n\n  private getNextGenClient(): GeminiNextGenAPI {\n    const httpOpts = this.httpOptions;\n    if (this._nextGenClient === undefined) {\n      this._nextGenClient = buildGoogleGenAIClient(this.apiClient, {\n        timeout_ms: httpOpts?.timeout,\n      });\n    }\n\n    if (httpOpts?.extraBody) {\n      console.warn(\n        'GoogleGenAI: Client level httpOptions.extraBody is not supported by the Gemini NextGen client and will be ignored.',\n      );\n    }\n\n    return this._nextGenClient;\n  }\n\n  get interactions(): Interactions {\n    if (this._interactions !== undefined) {\n      return this._interactions;\n    }\n\n    this._interactions = new GeminiNextGenInteractions(this.apiClient);\n    return this._interactions;\n  }\n\n  get webhooks(): Webhooks {\n    if (this._webhooks !== undefined) {\n      return this._webhooks;\n    }\n\n    this._webhooks = new GeminiNextGenWebhooks(this.apiClient);\n    return this._webhooks;\n  }\n\n  get agents(): Agents {\n    if (this._agents !== undefined) {\n      return this._agents;\n    }\n\n    console.warn(\n      'GoogleGenAI.agents: Agents usage is experimental and may change in future versions.',\n    );\n\n    this._agents = new GeminiNextGenAgents(this.apiClient);\n    return this._agents;\n  }\n\n  constructor(options: GoogleGenAIOptions) {\n    if (options.apiKey == null) {\n      throw new Error(\n        `An API Key must be set when running in an unspecified environment.\\n + ${crossError().message}`,\n      );\n    }\n    if (\n      options.enterprise !== undefined &&\n      options.vertexai !== undefined &&\n      options.enterprise !== options.vertexai\n    ) {\n      throw new Error(\n        'enterprise and vertexAI flags have conflicting values, please set enterprise value only.',\n      );\n    }\n    this.vertexai = options.enterprise ?? options.vertexai ?? false;\n    this.apiKey = options.apiKey;\n    this.apiVersion = options.apiVersion;\n    this.httpOptions = options.httpOptions;\n    const auth = new WebAuth(this.apiKey);\n    this.apiClient = new 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