@ai-sdk/google-vertex/dist/anthropic/edge/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/anthropic/edge/google-vertex-anthropic-provider-edge.ts","../../../src/edge/google-vertex-auth-edge.ts","../../../src/version.ts","../../../src/anthropic/google-vertex-anthropic-provider.ts"],"sourcesContent":["import { resolve } from '@ai-sdk/provider-utils';\nimport {\n  generateAuthToken as defaultGenerateAuthToken,\n  type GoogleCredentials,\n} from '../../edge/google-vertex-auth-edge';\nimport {\n  createVertexAnthropic as createVertexAnthropicOriginal,\n  type GoogleVertexAnthropicProvider,\n  type GoogleVertexAnthropicProviderSettings as GoogleVertexAnthropicProviderSettingsOriginal,\n} from '../google-vertex-anthropic-provider';\n\nexport type { GoogleVertexAnthropicProvider };\n\nexport interface GoogleVertexAnthropicProviderSettings extends GoogleVertexAnthropicProviderSettingsOriginal {\n  /**\n   * Optional. The Google credentials for the Google Cloud service account. If\n   * not provided, the Google Vertex provider will use environment variables to\n   * load the credentials.\n   */\n  googleCredentials?: GoogleCredentials;\n  /**\n   * Optional. Override the Bearer token generator. Defaults to OAuth exchange\n   * with `googleCredentials`.\n   */\n  generateAuthToken?: () => Promise<string>;\n}\n\nexport function createVertexAnthropic(\n  options: GoogleVertexAnthropicProviderSettings = {},\n): GoogleVertexAnthropicProvider {\n  const generateAuthToken =\n    options.generateAuthToken ??\n    (() => defaultGenerateAuthToken(options.googleCredentials));\n  return createVertexAnthropicOriginal({\n    ...options,\n    headers: async () => ({\n      Authorization: `Bearer ${await generateAuthToken()}`,\n      ...(await resolve(options.headers)),\n    }),\n  });\n}\n\n/**\n * Default Google Vertex AI Anthropic provider instance.\n */\nexport const vertexAnthropic = createVertexAnthropic();\n","import {\n  loadOptionalSetting,\n  loadSetting,\n  withUserAgentSuffix,\n  getRuntimeEnvironmentUserAgent,\n} from '@ai-sdk/provider-utils';\nimport { VERSION } from '../version';\n\nexport interface GoogleCredentials {\n  /**\n   * The client email for the Google Cloud service account. Defaults to the\n   * value of the `GOOGLE_CLIENT_EMAIL` environment variable.\n   */\n  clientEmail: string;\n\n  /**\n   * The private key for the Google Cloud service account. Defaults to the\n   * value of the `GOOGLE_PRIVATE_KEY` environment variable.\n   */\n  privateKey: string;\n\n  /**\n   * Optional. The private key ID for the Google Cloud service account. Defaults\n   * to the value of the `GOOGLE_PRIVATE_KEY_ID` environment variable.\n   */\n  privateKeyId?: string;\n}\n\nconst loadCredentials = async (): Promise<GoogleCredentials> => {\n  try {\n    return {\n      clientEmail: loadSetting({\n        settingValue: undefined,\n        settingName: 'clientEmail',\n        environmentVariableName: 'GOOGLE_CLIENT_EMAIL',\n        description: 'Google client email',\n      }),\n      privateKey: loadSetting({\n        settingValue: undefined,\n        settingName: 'privateKey',\n        environmentVariableName: 'GOOGLE_PRIVATE_KEY',\n        description: 'Google private key',\n      }),\n      privateKeyId: loadOptionalSetting({\n        settingValue: undefined,\n        environmentVariableName: 'GOOGLE_PRIVATE_KEY_ID',\n      }),\n    };\n  } catch (error: any) {\n    throw new Error(`Failed to load Google credentials: ${error.message}`);\n  }\n};\n\n// Convert a string to base64url\nconst base64url = (str: string) => {\n  return btoa(str).replace(/\\+/g, '-').replace(/\\//g, '_').replace(/=/g, '');\n};\nconst importPrivateKey = async (pemKey: string) => {\n  const pemHeader = '-----BEGIN PRIVATE KEY-----';\n  const pemFooter = '-----END PRIVATE KEY-----';\n\n  // Remove header, footer, and any whitespace/newlines\n  const pemContents = pemKey\n    .replace(pemHeader, '')\n    .replace(pemFooter, '')\n    .replace(/\\s/g, '');\n\n  // Decode base64 to binary\n  const binaryString = atob(pemContents);\n\n  // Convert binary string to Uint8Array\n  const binaryData = new Uint8Array(binaryString.length);\n  for (let i = 0; i < binaryString.length; i++) {\n    binaryData[i] = binaryString.charCodeAt(i);\n  }\n\n  return await crypto.subtle.importKey(\n    'pkcs8',\n    binaryData,\n    { name: 'RSASSA-PKCS1-v1_5', hash: 'SHA-256' },\n    true,\n    ['sign'],\n  );\n};\n\nconst buildJwt = async (credentials: GoogleCredentials) => {\n  const now = Math.floor(Date.now() / 1000);\n\n  // Only include kid in header if privateKeyId is provided\n  const header: { alg: string; typ: string; kid?: string } = {\n    alg: 'RS256',\n    typ: 'JWT',\n  };\n\n  if (credentials.privateKeyId) {\n    header.kid = credentials.privateKeyId;\n  }\n\n  const payload = {\n    iss: credentials.clientEmail,\n    scope: 'https://www.googleapis.com/auth/cloud-platform',\n    aud: 'https://oauth2.googleapis.com/token',\n    exp: now + 3600,\n    iat: now,\n  };\n\n  const privateKey = await importPrivateKey(credentials.privateKey);\n\n  const signingInput = `${base64url(JSON.stringify(header))}.${base64url(\n    JSON.stringify(payload),\n  )}`;\n  const encoder = new TextEncoder();\n  const data = encoder.encode(signingInput);\n\n  const signature = await crypto.subtle.sign(\n    'RSASSA-PKCS1-v1_5',\n    privateKey,\n    data,\n  );\n\n  const signatureBase64 = base64url(\n    String.fromCharCode(...new Uint8Array(signature)),\n  );\n\n  return `${base64url(JSON.stringify(header))}.${base64url(\n    JSON.stringify(payload),\n  )}.${signatureBase64}`;\n};\n\n/**\n * Generate an authentication token for Google Vertex AI in a manner compatible\n * with the Edge runtime.\n */\nexport async function generateAuthToken(credentials?: GoogleCredentials) {\n  try {\n    const creds = credentials || (await loadCredentials());\n    const jwt = await buildJwt(creds);\n\n    const response = await fetch('https://oauth2.googleapis.com/token', {\n      method: 'POST',\n      headers: withUserAgentSuffix(\n        { 'Content-Type': 'application/x-www-form-urlencoded' },\n        `ai-sdk/google-vertex/${VERSION}`,\n        getRuntimeEnvironmentUserAgent(),\n      ),\n      body: new URLSearchParams({\n        grant_type: 'urn:ietf:params:oauth:grant-type:jwt-bearer',\n        assertion: jwt,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Token request failed: ${response.statusText}`);\n    }\n\n    const data = await response.json();\n    return data.access_token;\n  } catch (error) {\n    throw error;\n  }\n}\n","// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? __PACKAGE_VERSION__\n    : '0.0.0-test';\n","import {\n  NoSuchModelError,\n  type LanguageModelV3,\n  type ProviderV3,\n} from '@ai-sdk/provider';\nimport {\n  loadOptionalSetting,\n  withoutTrailingSlash,\n  type FetchFunction,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport {\n  anthropicTools,\n  AnthropicMessagesLanguageModel,\n} from '@ai-sdk/anthropic/internal';\nimport type { GoogleVertexAnthropicMessagesModelId } from './google-vertex-anthropic-messages-options';\n\n/**\n * Tools supported by Google Vertex Anthropic.\n * This is a subset of the full Anthropic tools - only these are recognized by the Vertex API.\n */\nexport const vertexAnthropicTools = {\n  /**\n   * The bash tool enables Claude to execute shell commands in a persistent bash session,\n   * allowing system operations, script execution, and command-line automation.\n   *\n   * Image results are supported.\n   */\n  bash_20241022: anthropicTools.bash_20241022,\n\n  /**\n   * The bash tool enables Claude to execute shell commands in a persistent bash session,\n   * allowing system operations, script execution, and command-line automation.\n   *\n   * Image results are supported.\n   */\n  bash_20250124: anthropicTools.bash_20250124,\n\n  /**\n   * Claude can use an Anthropic-defined text editor tool to view and modify text files,\n   * helping you debug, fix, and improve your code or other text documents.\n   *\n   * Supported models: Claude Sonnet 3.5\n   */\n  textEditor_20241022: anthropicTools.textEditor_20241022,\n\n  /**\n   * Claude can use an Anthropic-defined text editor tool to view and modify text files,\n   * helping you debug, fix, and improve your code or other text documents.\n   *\n   * Supported models: Claude Sonnet 3.7\n   */\n  textEditor_20250124: anthropicTools.textEditor_20250124,\n\n  /**\n   * Claude can use an Anthropic-defined text editor tool to view and modify text files.\n   * Note: This version does not support the \"undo_edit\" command.\n   * @deprecated Use textEditor_20250728 instead\n   */\n  textEditor_20250429: anthropicTools.textEditor_20250429,\n\n  /**\n   * Claude can use an Anthropic-defined text editor tool to view and modify text files.\n   * Note: This version does not support the \"undo_edit\" command and adds optional max_characters parameter.\n   * Supported models: Claude Sonnet 4, Opus 4, and Opus 4.1\n   */\n  textEditor_20250728: anthropicTools.textEditor_20250728,\n\n  /**\n   * Claude can interact with computer environments through the computer use tool, which\n   * provides screenshot capabilities and mouse/keyboard control for autonomous desktop interaction.\n   *\n   * Image results are supported.\n   */\n  computer_20241022: anthropicTools.computer_20241022,\n\n  /**\n   * Creates a web search tool that gives Claude direct access to real-time web content.\n   */\n  webSearch_20250305: anthropicTools.webSearch_20250305,\n\n  /**\n   * Creates a tool search tool that uses regex patterns to find tools.\n   *\n   * The tool search tool enables Claude to work with hundreds or thousands of tools\n   * by dynamically discovering and loading them on-demand.\n   *\n   * Use `providerOptions: { anthropic: { deferLoading: true } }` on other tools\n   * to mark them for deferred loading.\n   */\n  toolSearchRegex_20251119: anthropicTools.toolSearchRegex_20251119,\n\n  /**\n   * Creates a tool search tool that uses BM25 (natural language) to find tools.\n   *\n   * The tool search tool enables Claude to work with hundreds or thousands of tools\n   * by dynamically discovering and loading them on-demand.\n   *\n   * Use `providerOptions: { anthropic: { deferLoading: true } }` on other tools\n   * to mark them for deferred loading.\n   */\n  toolSearchBm25_20251119: anthropicTools.toolSearchBm25_20251119,\n};\nexport interface GoogleVertexAnthropicProvider extends ProviderV3 {\n  /**\n   * Creates a model for text generation.\n   */\n  (modelId: GoogleVertexAnthropicMessagesModelId): LanguageModelV3;\n\n  /**\n   * Creates a model for text generation.\n   */\n  languageModel(modelId: GoogleVertexAnthropicMessagesModelId): LanguageModelV3;\n\n  /**\n   * Anthropic tools supported by Google Vertex.\n   * Note: Only a subset of Anthropic tools are available on Vertex.\n   * Supported tools: bash_20241022, bash_20250124, textEditor_20241022,\n   * textEditor_20250124, textEditor_20250429, textEditor_20250728,\n   * computer_20241022, webSearch_20250305, toolSearchRegex_20251119,\n   * toolSearchBm25_20251119\n   */\n  tools: typeof vertexAnthropicTools;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: string): never;\n}\n\nexport interface GoogleVertexAnthropicProviderSettings {\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 region. Defaults to the value of the `GOOGLE_VERTEX_LOCATION` environment variable.\n   */\n  location?: string;\n\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers.\n   * The default prefix is `https://api.anthropic.com/v1`.\n   */\n  baseURL?: string;\n\n  /**\n   * Custom headers to include in the requests.\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\n/**\n * Create a Google Vertex Anthropic provider instance.\n */\nexport function createVertexAnthropic(\n  options: GoogleVertexAnthropicProviderSettings = {},\n): GoogleVertexAnthropicProvider {\n  const getBaseURL = () => {\n    const location = loadOptionalSetting({\n      settingValue: options.location,\n      environmentVariableName: 'GOOGLE_VERTEX_LOCATION',\n    });\n    const project = loadOptionalSetting({\n      settingValue: options.project,\n      environmentVariableName: 'GOOGLE_VERTEX_PROJECT',\n    });\n\n    return (\n      withoutTrailingSlash(options.baseURL) ??\n      `https://${location === 'global' ? '' : location + '-'}aiplatform.googleapis.com/v1/projects/${project}/locations/${location}/publishers/anthropic/models`\n    );\n  };\n\n  const createChatModel = (modelId: GoogleVertexAnthropicMessagesModelId) =>\n    new AnthropicMessagesLanguageModel(modelId, {\n      provider: 'vertex.anthropic.messages',\n      baseURL: getBaseURL(),\n      headers: options.headers ?? {},\n      fetch: options.fetch,\n\n      buildRequestUrl: (baseURL, isStreaming) =>\n        `${baseURL}/${modelId}:${\n          isStreaming ? 'streamRawPredict' : 'rawPredict'\n        }`,\n      transformRequestBody: args => {\n        // Remove model from args and add anthropic version\n        const { model, ...rest } = args;\n        return {\n          ...rest,\n          anthropic_version: 'vertex-2023-10-16',\n        };\n      },\n      // Google Vertex Anthropic doesn't support URL sources, force download and base64 conversion\n      supportedUrls: () => ({}),\n      // force the use of JSON tool fallback for structured outputs since beta header isn't supported\n      supportsNativeStructuredOutput: false,\n      // Vertex Anthropic doesn't support strict mode on tool definitions.\n      supportsStrictTools: false,\n    });\n\n  const provider = function (modelId: GoogleVertexAnthropicMessagesModelId) {\n    if (new.target) {\n      throw new Error(\n        'The Anthropic 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.chat = createChatModel;\n  provider.messages = createChatModel;\n\n  provider.embeddingModel = (modelId: string) => {\n    throw new NoSuchModelError({ modelId, modelType: 'embeddingModel' });\n  };\n  provider.textEmbeddingModel = provider.embeddingModel;\n  provider.imageModel = (modelId: string) => {\n    throw new NoSuchModelError({ modelId, modelType: 'imageModel' });\n  };\n\n  provider.tools = vertexAnthropicTools;\n\n  return 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