@ai-sdk/google-vertex/dist/xai/index.mjs.map

The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs.

{"version":3,"sources":["../../src/xai/google-vertex-xai-provider-node.ts","../../src/google-vertex-auth-google-auth-library.ts","../../src/xai/google-vertex-xai-provider.ts"],"sourcesContent":["import { resolve, type FetchFunction } from '@ai-sdk/provider-utils';\nimport type { GoogleAuthOptions } from 'google-auth-library';\nimport { createAuthTokenGenerator } from '../google-vertex-auth-google-auth-library';\nimport {\n  createGoogleVertexXai as createGoogleVertexXaiOriginal,\n  type GoogleVertexXaiProvider,\n  type GoogleVertexXaiProviderSettings as GoogleVertexXaiProviderSettingsOriginal,\n} from './google-vertex-xai-provider';\nexport type { GoogleVertexXaiProvider };\n\nexport interface GoogleVertexXaiProviderSettings extends GoogleVertexXaiProviderSettingsOriginal {\n  /**\n   * Optional. The Authentication options provided by google-auth-library.\n   * Complete list of authentication options is documented in the\n   * GoogleAuthOptions interface:\n   * https://github.com/googleapis/google-auth-library-nodejs/blob/main/src/auth/googleauth.ts.\n   */\n  googleAuthOptions?: GoogleAuthOptions;\n}\n\n/**\n * Create a Google Vertex AI xAI provider instance for Node.js.\n * Uses the OpenAI-compatible Chat Completions API for Grok partner models.\n * Automatically handles Google Cloud authentication.\n *\n * @see https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/grok\n */\nexport function createGoogleVertexXai(\n  options: GoogleVertexXaiProviderSettings = {},\n): GoogleVertexXaiProvider {\n  const generateAuthToken = createAuthTokenGenerator(options.googleAuthOptions);\n\n  const customFetch: FetchFunction = async (url, init) => {\n    const token = await generateAuthToken();\n    const resolvedHeaders = await resolve(options.headers);\n    const authHeaders = {\n      ...resolvedHeaders,\n      Authorization: `Bearer ${token}`,\n    };\n\n    const fetchInit = {\n      ...init,\n      headers: {\n        ...init?.headers,\n        ...authHeaders,\n      },\n    };\n\n    return (options.fetch ?? fetch)(url, fetchInit);\n  };\n\n  return createGoogleVertexXaiOriginal({\n    ...options,\n    fetch: customFetch,\n    headers: undefined,\n  });\n}\n\n/**\n * Default Google Vertex AI xAI provider instance for Node.js.\n */\nexport const googleVertexXai = createGoogleVertexXai();\n","import { GoogleAuth, type GoogleAuthOptions } from 'google-auth-library';\n\nexport function createAuthTokenGenerator(options?: GoogleAuthOptions) {\n  const auth = new GoogleAuth({\n    scopes: ['https://www.googleapis.com/auth/cloud-platform'],\n    ...options,\n  });\n\n  return async function generateAuthToken() {\n    const client = await auth.getClient();\n    const token = await client.getAccessToken();\n    return token?.token ?? null;\n  };\n}\n","import {\n  NoSuchModelError,\n  type LanguageModelV3,\n  type LanguageModelV3Usage,\n  type ProviderV3,\n} from '@ai-sdk/provider';\nimport {\n  createOpenAICompatible,\n  type OpenAICompatibleProvider,\n} from '@ai-sdk/openai-compatible';\nimport {\n  loadOptionalSetting,\n  loadSetting,\n  withoutTrailingSlash,\n  type FetchFunction,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport type { GoogleVertexXaiModelId } from './google-vertex-xai-options';\n\nexport interface GoogleVertexXaiProvider extends ProviderV3 {\n  /**\n   * Creates a model for text generation.\n   */\n  (modelId: GoogleVertexXaiModelId): LanguageModelV3;\n\n  /**\n   * Creates a model for text generation.\n   */\n  languageModel(modelId: GoogleVertexXaiModelId): LanguageModelV3;\n\n  /**\n   * Creates a chat model for text generation.\n   */\n  chatModel(modelId: GoogleVertexXaiModelId): LanguageModelV3;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: string): never;\n}\n\nexport interface GoogleVertexXaiProviderSettings {\n  /**\n   * Google Cloud project ID. Defaults to the value of the `GOOGLE_VERTEX_PROJECT` environment variable.\n   */\n  project?: string;\n\n  /**\n   * Google Cloud location/region. Defaults to the value of the `GOOGLE_VERTEX_LOCATION` environment variable.\n   * Use 'global' for the global endpoint.\n   */\n  location?: string;\n\n  /**\n   * Base URL for the API calls. If not provided, will be constructed from project and location.\n   */\n  baseURL?: string;\n\n  /**\n   * Headers to use for requests. Can be:\n   * - A headers object\n   * - A Promise that resolves to a headers object\n   * - A function that returns a headers object\n   * - A function that returns a Promise of a headers object\n   */\n  headers?: Resolvable<Record<string, string | undefined>>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n}\n\ntype GoogleVertexXaiUsage =\n  | {\n      prompt_tokens?: number | null;\n      completion_tokens?: number | null;\n      prompt_tokens_details?: {\n        cached_tokens?: number | null;\n      } | null;\n      completion_tokens_details?: {\n        reasoning_tokens?: number | null;\n      } | null;\n    }\n  | undefined\n  | null;\n\nfunction convertGoogleVertexXaiUsage(\n  usage: GoogleVertexXaiUsage,\n): LanguageModelV3Usage {\n  if (usage == null) {\n    return {\n      inputTokens: {\n        total: undefined,\n        noCache: undefined,\n        cacheRead: undefined,\n        cacheWrite: undefined,\n      },\n      outputTokens: {\n        total: undefined,\n        text: undefined,\n        reasoning: undefined,\n      },\n      raw: undefined,\n    };\n  }\n\n  const promptTokens = usage.prompt_tokens ?? 0;\n  const completionTokens = usage.completion_tokens ?? 0;\n  const cacheReadTokens = usage.prompt_tokens_details?.cached_tokens ?? 0;\n  const reasoningTokens =\n    usage.completion_tokens_details?.reasoning_tokens ?? 0;\n\n  return {\n    inputTokens: {\n      total: promptTokens,\n      noCache: promptTokens - cacheReadTokens,\n      cacheRead: cacheReadTokens,\n      cacheWrite: undefined,\n    },\n    outputTokens: {\n      total: completionTokens + reasoningTokens,\n      text: completionTokens,\n      reasoning: reasoningTokens,\n    },\n    raw: usage,\n  };\n}\n\nfunction transformGoogleVertexXaiRequestBody(args: Record<string, any>) {\n  const { reasoning_effort: _reasoningEffort, ...rest } = args;\n  return rest;\n}\n\n/**\n * Create a Google Vertex AI xAI provider instance.\n * Uses the OpenAI-compatible Chat Completions API for Grok partner models.\n *\n * @see https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/grok\n */\nexport function createGoogleVertexXai(\n  options: GoogleVertexXaiProviderSettings = {},\n): GoogleVertexXaiProvider {\n  const loadLocation = () =>\n    loadOptionalSetting({\n      settingValue: options.location,\n      environmentVariableName: 'GOOGLE_VERTEX_LOCATION',\n    });\n\n  const loadProject = () =>\n    loadSetting({\n      settingValue: options.project,\n      settingName: 'project',\n      environmentVariableName: 'GOOGLE_VERTEX_PROJECT',\n      description: 'Google Vertex project',\n    });\n\n  const constructBaseURL = () => {\n    const projectId = loadProject();\n    const location = loadLocation() ?? 'global';\n\n    return `https://aiplatform.googleapis.com/v1/projects/${projectId}/locations/${location}/endpoints/openapi`;\n  };\n\n  const loadBaseURL = () =>\n    withoutTrailingSlash(options.baseURL ?? '') || constructBaseURL();\n\n  let cachedProvider:\n    | OpenAICompatibleProvider<GoogleVertexXaiModelId, string, string, string>\n    | undefined;\n  const getProvider = () =>\n    (cachedProvider ??= createOpenAICompatible({\n      name: 'googleVertex.xai',\n      baseURL: loadBaseURL(),\n      fetch: options.fetch,\n      includeUsage: true,\n      supportsStructuredOutputs: true,\n      supportedUrls: () => ({\n        'image/*': [/^https?:\\/\\/.*$/],\n      }),\n      transformRequestBody: transformGoogleVertexXaiRequestBody,\n      convertUsage: convertGoogleVertexXaiUsage,\n    }));\n\n  const createChatModel = (modelId: GoogleVertexXaiModelId) =>\n    getProvider().languageModel(modelId);\n\n  const provider = function (modelId: GoogleVertexXaiModelId) {\n    if (new.target) {\n      throw new Error(\n        'The Google Vertex xAI model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createChatModel(modelId);\n  };\n\n  provider.specificationVersion = 'v3' as const;\n  provider.languageModel = createChatModel;\n  provider.chatModel = (modelId: GoogleVertexXaiModelId) =>\n    getProvider().chatModel(modelId);\n  provider.embeddingModel = (modelId: string): never => {\n    throw new NoSuchModelError({ modelId, modelType: 'embeddingModel' });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId: string): never => {\n    throw new NoSuchModelError({ modelId, modelType: 'imageModel' });\n  };\n\n  return provider;\n}\n"],"mappings":";AAAA,SAAS,eAAmC;;;ACA5C,SAAS,kBAA0C;AAE5C,SAAS,yBAAyB,SAA6B;AACpE,QAAM,OAAO,IAAI,WAAW;AAAA,IAC1B,QAAQ,CAAC,gDAAgD;AAAA,IACzD,GAAG;AAAA,EACL,CAAC;AAED,SAAO,eAAe,oBAAoB;AAR5C;AASI,UAAM,SAAS,MAAM,KAAK,UAAU;AACpC,UAAM,QAAQ,MAAM,OAAO,eAAe;AAC1C,YAAO,oCAAO,UAAP,YAAgB;AAAA,EACzB;AACF;;;ACbA;AAAA,EACE;AAAA,OAIK;AACP;AAAA,EACE;AAAA,OAEK;AACP;AAAA,EACE;AAAA,EACA;AAAA,EACA;AAAA,OAGK;AAwEP,SAAS,4BACP,OACsB;AA1FxB;AA2FE,MAAI,SAAS,MAAM;AACjB,WAAO;AAAA,MACL,aAAa;AAAA,QACX,OAAO;AAAA,QACP,SAAS;AAAA,QACT,WAAW;AAAA,QACX,YAAY;AAAA,MACd;AAAA,MACA,cAAc;AAAA,QACZ,OAAO;AAAA,QACP,MAAM;AAAA,QACN,WAAW;AAAA,MACb;AAAA,MACA,KAAK;AAAA,IACP;AAAA,EACF;AAEA,QAAM,gBAAe,WAAM,kBAAN,YAAuB;AAC5C,QAAM,oBAAmB,WAAM,sBAAN,YAA2B;AACpD,QAAM,mBAAkB,iBAAM,0BAAN,mBAA6B,kBAA7B,YAA8C;AACtE,QAAM,mBACJ,iBAAM,8BAAN,mBAAiC,qBAAjC,YAAqD;AAEvD,SAAO;AAAA,IACL,aAAa;AAAA,MACX,OAAO;AAAA,MACP,SAAS,eAAe;AAAA,MACxB,WAAW;AAAA,MACX,YAAY;AAAA,IACd;AAAA,IACA,cAAc;AAAA,MACZ,OAAO,mBAAmB;AAAA,MAC1B,MAAM;AAAA,MACN,WAAW;AAAA,IACb;AAAA,IACA,KAAK;AAAA,EACP;AACF;AAEA,SAAS,oCAAoC,MAA2B;AACtE,QAAM,EAAE,kBAAkB,kBAAkB,GAAG,KAAK,IAAI;AACxD,SAAO;AACT;AAQO,SAAS,sBACd,UAA2C,CAAC,GACnB;AACzB,QAAM,eAAe,MACnB,oBAAoB;AAAA,IAClB,cAAc,QAAQ;AAAA,IACtB,yBAAyB;AAAA,EAC3B,CAAC;AAEH,QAAM,cAAc,MAClB,YAAY;AAAA,IACV,cAAc,QAAQ;AAAA,IACtB,aAAa;AAAA,IACb,yBAAyB;AAAA,IACzB,aAAa;AAAA,EACf,CAAC;AAEH,QAAM,mBAAmB,MAAM;AA9JjC;AA+JI,UAAM,YAAY,YAAY;AAC9B,UAAM,YAAW,kBAAa,MAAb,YAAkB;AAEnC,WAAO,iDAAiD,SAAS,cAAc,QAAQ;AAAA,EACzF;AAEA,QAAM,cAAc,MAAG;AArKzB;AAsKI,iCAAqB,aAAQ,YAAR,YAAmB,EAAE,KAAK,iBAAiB;AAAA;AAElE,MAAI;AAGJ,QAAM,cAAc,MACjB,2DAAmB,uBAAuB;AAAA,IACzC,MAAM;AAAA,IACN,SAAS,YAAY;AAAA,IACrB,OAAO,QAAQ;AAAA,IACf,cAAc;AAAA,IACd,2BAA2B;AAAA,IAC3B,eAAe,OAAO;AAAA,MACpB,WAAW,CAAC,iBAAiB;AAAA,IAC/B;AAAA,IACA,sBAAsB;AAAA,IACtB,cAAc;AAAA,EAChB,CAAC;AAEH,QAAM,kBAAkB,CAAC,YACvB,YAAY,EAAE,cAAc,OAAO;AAErC,QAAM,WAAW,SAAU,SAAiC;AAC1D,QAAI,YAAY;AACd,YAAM,IAAI;AAAA,QACR;AAAA,MACF;AAAA,IACF;AAEA,WAAO,gBAAgB,OAAO;AAAA,EAChC;AAEA,WAAS,uBAAuB;AAChC,WAAS,gBAAgB;AACzB,WAAS,YAAY,CAAC,YACpB,YAAY,EAAE,UAAU,OAAO;AACjC,WAAS,iBAAiB,CAAC,YAA2B;AACpD,UAAM,IAAI,iBAAiB,EAAE,SAAS,WAAW,iBAAiB,CAAC;AAAA,EACrE;AACA,WAAS,qBAAqB,SAAS;AACvC,WAAS,aAAa,CAAC,YAA2B;AAChD,UAAM,IAAI,iBAAiB,EAAE,SAAS,WAAW,aAAa,CAAC;AAAA,EACjE;AAEA,SAAO;AACT;;;AFxLO,SAASA,uBACd,UAA2C,CAAC,GACnB;AACzB,QAAM,oBAAoB,yBAAyB,QAAQ,iBAAiB;AAE5E,QAAM,cAA6B,OAAO,KAAK,SAAS;AAhC1D;AAiCI,UAAM,QAAQ,MAAM,kBAAkB;AACtC,UAAM,kBAAkB,MAAM,QAAQ,QAAQ,OAAO;AACrD,UAAM,cAAc;AAAA,MAClB,GAAG;AAAA,MACH,eAAe,UAAU,KAAK;AAAA,IAChC;AAEA,UAAM,YAAY;AAAA,MAChB,GAAG;AAAA,MACH,SAAS;AAAA,QACP,GAAG,6BAAM;AAAA,QACT,GAAG;AAAA,MACL;AAAA,IACF;AAEA,aAAQ,aAAQ,UAAR,YAAiB,OAAO,KAAK,SAAS;AAAA,EAChD;AAEA,SAAO,sBAA8B;AAAA,IACnC,GAAG;AAAA,IACH,OAAO;AAAA,IACP,SAAS;AAAA,EACX,CAAC;AACH;AAKO,IAAM,kBAAkBA,uBAAsB;","names":["createGoogleVertexXai"]}