{"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;\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 => {\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>;\n\n /**\n * Custom fetch implementation. 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