@ai-sdk/gateway/dist/index.mjs.map

The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.

{"version":3,"sources":["../src/gateway-provider.ts","../src/errors/as-gateway-error.ts","../src/errors/create-gateway-error.ts","../src/errors/gateway-error.ts","../src/errors/gateway-authentication-error.ts","../src/errors/gateway-invalid-request-error.ts","../src/errors/gateway-rate-limit-error.ts","../src/errors/gateway-model-not-found-error.ts","../src/errors/gateway-internal-server-error.ts","../src/errors/gateway-response-error.ts","../src/errors/extract-api-call-response.ts","../src/errors/parse-auth-method.ts","../src/gateway-fetch-metadata.ts","../src/gateway-language-model.ts","../src/gateway-embedding-model.ts","../src/gateway-image-model.ts","../src/vercel-environment.ts","../src/version.ts"],"sourcesContent":["import {\n  loadOptionalSetting,\n  withoutTrailingSlash,\n  type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { asGatewayError, GatewayAuthenticationError } from './errors';\nimport {\n  GATEWAY_AUTH_METHOD_HEADER,\n  parseAuthMethod,\n} from './errors/parse-auth-method';\nimport {\n  GatewayFetchMetadata,\n  type GatewayFetchMetadataResponse,\n  type GatewayCreditsResponse,\n} from './gateway-fetch-metadata';\nimport { GatewayLanguageModel } from './gateway-language-model';\nimport { GatewayEmbeddingModel } from './gateway-embedding-model';\nimport { GatewayImageModel } from './gateway-image-model';\nimport type { GatewayEmbeddingModelId } from './gateway-embedding-model-settings';\nimport type { GatewayImageModelId } from './gateway-image-model-settings';\nimport { getVercelOidcToken, getVercelRequestId } from './vercel-environment';\nimport type { GatewayModelId } from './gateway-language-model-settings';\nimport type {\n  LanguageModelV3,\n  EmbeddingModelV3,\n  ImageModelV3,\n  ProviderV3,\n} from '@ai-sdk/provider';\nimport { withUserAgentSuffix } from '@ai-sdk/provider-utils';\nimport { VERSION } from './version';\n\nexport interface GatewayProvider extends ProviderV3 {\n  (modelId: GatewayModelId): LanguageModelV3;\n\n  /**\nCreates a model for text generation.\n*/\n  languageModel(modelId: GatewayModelId): LanguageModelV3;\n\n  /**\nReturns available providers and models for use with the remote provider.\n */\n  getAvailableModels(): Promise<GatewayFetchMetadataResponse>;\n\n  /**\nReturns credit information for the authenticated user.\n */\n  getCredits(): Promise<GatewayCreditsResponse>;\n\n  /**\nCreates a model for generating text embeddings.\n*/\n  embeddingModel(modelId: GatewayEmbeddingModelId): EmbeddingModelV3;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(modelId: GatewayEmbeddingModelId): EmbeddingModelV3;\n\n  /**\nCreates a model for generating images.\n*/\n  imageModel(modelId: GatewayImageModelId): ImageModelV3;\n}\n\nexport interface GatewayProviderSettings {\n  /**\nThe base URL prefix for API calls. Defaults to `https://ai-gateway.vercel.sh/v1/ai`.\n   */\n  baseURL?: string;\n\n  /**\nAPI key that is being sent using the `Authorization` header.\n   */\n  apiKey?: string;\n\n  /**\nCustom headers to include in the requests.\n     */\n  headers?: Record<string, string>;\n\n  /**\nCustom fetch implementation. You can use it as a middleware to intercept requests,\nor to provide a custom fetch implementation for e.g. testing.\n    */\n  fetch?: FetchFunction;\n\n  /**\nHow frequently to refresh the metadata cache in milliseconds.\n   */\n  metadataCacheRefreshMillis?: number;\n\n  /**\n   * @internal For testing purposes only\n   */\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}\n\nconst AI_GATEWAY_PROTOCOL_VERSION = '0.0.1';\n\n/**\nCreate a remote provider instance.\n */\nexport function createGatewayProvider(\n  options: GatewayProviderSettings = {},\n): GatewayProvider {\n  let pendingMetadata: Promise<GatewayFetchMetadataResponse> | null = null;\n  let metadataCache: GatewayFetchMetadataResponse | null = null;\n  const cacheRefreshMillis =\n    options.metadataCacheRefreshMillis ?? 1000 * 60 * 5;\n  let lastFetchTime = 0;\n\n  const baseURL =\n    withoutTrailingSlash(options.baseURL) ??\n    'https://ai-gateway.vercel.sh/v3/ai';\n\n  const getHeaders = async () => {\n    try {\n      const auth = await getGatewayAuthToken(options);\n      return withUserAgentSuffix(\n        {\n          Authorization: `Bearer ${auth.token}`,\n          'ai-gateway-protocol-version': AI_GATEWAY_PROTOCOL_VERSION,\n          [GATEWAY_AUTH_METHOD_HEADER]: auth.authMethod,\n          ...options.headers,\n        },\n        `ai-sdk/gateway/${VERSION}`,\n      );\n    } catch (error) {\n      throw GatewayAuthenticationError.createContextualError({\n        apiKeyProvided: false,\n        oidcTokenProvided: false,\n        statusCode: 401,\n        cause: error,\n      });\n    }\n  };\n\n  const createO11yHeaders = () => {\n    const deploymentId = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_DEPLOYMENT_ID',\n    });\n    const environment = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_ENV',\n    });\n    const region = loadOptionalSetting({\n      settingValue: undefined,\n      environmentVariableName: 'VERCEL_REGION',\n    });\n\n    return async () => {\n      const requestId = await getVercelRequestId();\n      return {\n        ...(deploymentId && { 'ai-o11y-deployment-id': deploymentId }),\n        ...(environment && { 'ai-o11y-environment': environment }),\n        ...(region && { 'ai-o11y-region': region }),\n        ...(requestId && { 'ai-o11y-request-id': requestId }),\n      };\n    };\n  };\n\n  const createLanguageModel = (modelId: GatewayModelId) => {\n    return new GatewayLanguageModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n\n  const getAvailableModels = async () => {\n    const now = options._internal?.currentDate?.().getTime() ?? Date.now();\n    if (!pendingMetadata || now - lastFetchTime > cacheRefreshMillis) {\n      lastFetchTime = now;\n\n      pendingMetadata = new GatewayFetchMetadata({\n        baseURL,\n        headers: getHeaders,\n        fetch: options.fetch,\n      })\n        .getAvailableModels()\n        .then(metadata => {\n          metadataCache = metadata;\n          return metadata;\n        })\n        .catch(async (error: unknown) => {\n          throw await asGatewayError(\n            error,\n            await parseAuthMethod(await getHeaders()),\n          );\n        });\n    }\n\n    return metadataCache ? Promise.resolve(metadataCache) : pendingMetadata;\n  };\n\n  const getCredits = async () => {\n    return new GatewayFetchMetadata({\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n    })\n      .getCredits()\n      .catch(async (error: unknown) => {\n        throw await asGatewayError(\n          error,\n          await parseAuthMethod(await getHeaders()),\n        );\n      });\n  };\n\n  const provider = function (modelId: GatewayModelId) {\n    if (new.target) {\n      throw new Error(\n        'The Gateway Provider model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createLanguageModel(modelId);\n  };\n\n  provider.specificationVersion = 'v3' as const;\n  provider.getAvailableModels = getAvailableModels;\n  provider.getCredits = getCredits;\n  provider.imageModel = (modelId: GatewayImageModelId) => {\n    return new GatewayImageModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.languageModel = createLanguageModel;\n  const createEmbeddingModel = (modelId: GatewayEmbeddingModelId) => {\n    return new GatewayEmbeddingModel(modelId, {\n      provider: 'gateway',\n      baseURL,\n      headers: getHeaders,\n      fetch: options.fetch,\n      o11yHeaders: createO11yHeaders(),\n    });\n  };\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n\n  return provider;\n}\n\nexport const gateway = createGatewayProvider();\n\nexport async function getGatewayAuthToken(\n  options: GatewayProviderSettings,\n): Promise<{ token: string; authMethod: 'api-key' | 'oidc' }> {\n  const apiKey = loadOptionalSetting({\n    settingValue: options.apiKey,\n    environmentVariableName: 'AI_GATEWAY_API_KEY',\n  });\n\n  if (apiKey) {\n    return {\n      token: apiKey,\n      authMethod: 'api-key',\n    };\n  }\n\n  const oidcToken = await getVercelOidcToken();\n  return {\n    token: oidcToken,\n    authMethod: 'oidc',\n  };\n}\n","import { APICallError } from '@ai-sdk/provider';\nimport { extractApiCallResponse, GatewayError } from '.';\nimport { createGatewayErrorFromResponse } from './create-gateway-error';\n\nexport function asGatewayError(\n  error: unknown,\n  authMethod?: 'api-key' | 'oidc',\n) {\n  if (GatewayError.isInstance(error)) {\n    return error;\n  }\n\n  if (APICallError.isInstance(error)) {\n    return createGatewayErrorFromResponse({\n      response: extractApiCallResponse(error),\n      statusCode: error.statusCode ?? 500,\n      defaultMessage: 'Gateway request failed',\n      cause: error,\n      authMethod,\n    });\n  }\n\n  return createGatewayErrorFromResponse({\n    response: {},\n    statusCode: 500,\n    defaultMessage:\n      error instanceof Error\n        ? `Gateway request failed: ${error.message}`\n        : 'Unknown Gateway error',\n    cause: error,\n    authMethod,\n  });\n}\n","import { z } from 'zod/v4';\nimport type { GatewayError } from './gateway-error';\nimport { GatewayAuthenticationError } from './gateway-authentication-error';\nimport { GatewayInvalidRequestError } from './gateway-invalid-request-error';\nimport { GatewayRateLimitError } from './gateway-rate-limit-error';\nimport {\n  GatewayModelNotFoundError,\n  modelNotFoundParamSchema,\n} from './gateway-model-not-found-error';\nimport { GatewayInternalServerError } from './gateway-internal-server-error';\nimport { GatewayResponseError } from './gateway-response-error';\nimport {\n  InferSchema,\n  lazySchema,\n  safeValidateTypes,\n  validateTypes,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\n\nexport async function createGatewayErrorFromResponse({\n  response,\n  statusCode,\n  defaultMessage = 'Gateway request failed',\n  cause,\n  authMethod,\n}: {\n  response: unknown;\n  statusCode: number;\n  defaultMessage?: string;\n  cause?: unknown;\n  authMethod?: 'api-key' | 'oidc';\n}): Promise<GatewayError> {\n  const parseResult = await safeValidateTypes({\n    value: response,\n    schema: gatewayErrorResponseSchema,\n  });\n\n  if (!parseResult.success) {\n    return new GatewayResponseError({\n      message: `Invalid error response format: ${defaultMessage}`,\n      statusCode,\n      response,\n      validationError: parseResult.error,\n      cause,\n    });\n  }\n\n  const validatedResponse: GatewayErrorResponse = parseResult.value;\n  const errorType = validatedResponse.error.type;\n  const message = validatedResponse.error.message;\n\n  switch (errorType) {\n    case 'authentication_error':\n      return GatewayAuthenticationError.createContextualError({\n        apiKeyProvided: authMethod === 'api-key',\n        oidcTokenProvided: authMethod === 'oidc',\n        statusCode,\n        cause,\n      });\n    case 'invalid_request_error':\n      return new GatewayInvalidRequestError({ message, statusCode, cause });\n    case 'rate_limit_exceeded':\n      return new GatewayRateLimitError({ message, statusCode, cause });\n    case 'model_not_found': {\n      const modelResult = await safeValidateTypes({\n        value: validatedResponse.error.param,\n        schema: modelNotFoundParamSchema,\n      });\n\n      return new GatewayModelNotFoundError({\n        message,\n        statusCode,\n        modelId: modelResult.success ? modelResult.value.modelId : undefined,\n        cause,\n      });\n    }\n    case 'internal_server_error':\n      return new GatewayInternalServerError({ message, statusCode, cause });\n    default:\n      return new GatewayInternalServerError({ message, statusCode, cause });\n  }\n}\n\nconst gatewayErrorResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      error: z.object({\n        message: z.string(),\n        type: z.string().nullish(),\n        param: z.unknown().nullish(),\n        code: z.union([z.string(), z.number()]).nullish(),\n      }),\n    }),\n  ),\n);\n\nexport type GatewayErrorResponse = InferSchema<\n  typeof gatewayErrorResponseSchema\n>;\n","const marker = 'vercel.ai.gateway.error';\nconst symbol = Symbol.for(marker);\n\nexport abstract class GatewayError extends Error {\n  private readonly [symbol] = true; // used in isInstance\n\n  abstract readonly name: string;\n  abstract readonly type: string;\n  readonly statusCode: number;\n  readonly cause?: unknown;\n\n  constructor({\n    message,\n    statusCode = 500,\n    cause,\n  }: {\n    message: string;\n    statusCode?: number;\n    cause?: unknown;\n  }) {\n    super(message);\n    this.statusCode = statusCode;\n    this.cause = cause;\n  }\n\n  /**\n   * Checks if the given error is a Gateway Error.\n   * @param {unknown} error - The error to check.\n   * @returns {boolean} True if the error is a Gateway Error, false otherwise.\n   */\n  static isInstance(error: unknown): error is GatewayError {\n    return GatewayError.hasMarker(error);\n  }\n\n  static hasMarker(error: unknown): error is GatewayError {\n    return (\n      typeof error === 'object' &&\n      error !== null &&\n      symbol in error &&\n      (error as any)[symbol] === true\n    );\n  }\n}\n","import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayAuthenticationError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Authentication failed - invalid API key or OIDC token\n */\nexport class GatewayAuthenticationError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'authentication_error';\n\n  constructor({\n    message = 'Authentication failed',\n    statusCode = 401,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n  }\n\n  static isInstance(error: unknown): error is GatewayAuthenticationError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n\n  /**\n   * Creates a contextual error message when authentication fails\n   */\n  static createContextualError({\n    apiKeyProvided,\n    oidcTokenProvided,\n    message = 'Authentication failed',\n    statusCode = 401,\n    cause,\n  }: {\n    apiKeyProvided: boolean;\n    oidcTokenProvided: boolean;\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n  }): GatewayAuthenticationError {\n    let contextualMessage: string;\n\n    if (apiKeyProvided) {\n      contextualMessage = `AI Gateway authentication failed: Invalid API key.\n\nCreate a new API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys\n\nProvide via 'apiKey' option or 'AI_GATEWAY_API_KEY' environment variable.`;\n    } else if (oidcTokenProvided) {\n      contextualMessage = `AI Gateway authentication failed: Invalid OIDC token.\n\nRun 'npx vercel link' to link your project, then 'vc env pull' to fetch the token.\n\nAlternatively, use an API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys`;\n    } else {\n      contextualMessage = `AI Gateway authentication failed: No authentication provided.\n\nOption 1 - API key:\nCreate an API key: https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys\nProvide via 'apiKey' option or 'AI_GATEWAY_API_KEY' environment variable.\n\nOption 2 - OIDC token:\nRun 'npx vercel link' to link your project, then 'vc env pull' to fetch the token.`;\n    }\n\n    return new GatewayAuthenticationError({\n      message: contextualMessage,\n      statusCode,\n      cause,\n    });\n  }\n}\n","import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayInvalidRequestError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Invalid request - missing headers, malformed data, etc.\n */\nexport class GatewayInvalidRequestError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'invalid_request_error';\n\n  constructor({\n    message = 'Invalid request',\n    statusCode = 400,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n  }\n\n  static isInstance(error: unknown): error is GatewayInvalidRequestError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n","import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayRateLimitError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Rate limit exceeded.\n */\nexport class GatewayRateLimitError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'rate_limit_exceeded';\n\n  constructor({\n    message = 'Rate limit exceeded',\n    statusCode = 429,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n  }\n\n  static isInstance(error: unknown): error is GatewayRateLimitError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n","import { z } from 'zod/v4';\nimport { GatewayError } from './gateway-error';\nimport { lazySchema, zodSchema } from '@ai-sdk/provider-utils';\n\nconst name = 'GatewayModelNotFoundError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\nexport const modelNotFoundParamSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      modelId: z.string(),\n    }),\n  ),\n);\n\n/**\n * Model not found or not available\n */\nexport class GatewayModelNotFoundError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'model_not_found';\n  readonly modelId?: string;\n\n  constructor({\n    message = 'Model not found',\n    statusCode = 404,\n    modelId,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    modelId?: string;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n    this.modelId = modelId;\n  }\n\n  static isInstance(error: unknown): error is GatewayModelNotFoundError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n","import { GatewayError } from './gateway-error';\n\nconst name = 'GatewayInternalServerError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Internal server error from the Gateway\n */\nexport class GatewayInternalServerError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'internal_server_error';\n\n  constructor({\n    message = 'Internal server error',\n    statusCode = 500,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n  }\n\n  static isInstance(error: unknown): error is GatewayInternalServerError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n","import { TypeValidationError } from '@ai-sdk/provider';\nimport { GatewayError } from './gateway-error';\n\nconst name = 'GatewayResponseError';\nconst marker = `vercel.ai.gateway.error.${name}`;\nconst symbol = Symbol.for(marker);\n\n/**\n * Gateway response parsing error\n */\nexport class GatewayResponseError extends GatewayError {\n  private readonly [symbol] = true; // used in isInstance\n\n  readonly name = name;\n  readonly type = 'response_error';\n  readonly response?: unknown;\n  readonly validationError?: TypeValidationError;\n\n  constructor({\n    message = 'Invalid response from Gateway',\n    statusCode = 502,\n    response,\n    validationError,\n    cause,\n  }: {\n    message?: string;\n    statusCode?: number;\n    response?: unknown;\n    validationError?: TypeValidationError;\n    cause?: unknown;\n  } = {}) {\n    super({ message, statusCode, cause });\n    this.response = response;\n    this.validationError = validationError;\n  }\n\n  static isInstance(error: unknown): error is GatewayResponseError {\n    return GatewayError.hasMarker(error) && symbol in error;\n  }\n}\n","import type { APICallError } from '@ai-sdk/provider';\n\nexport function extractApiCallResponse(error: APICallError): unknown {\n  if (error.data !== undefined) {\n    return error.data;\n  }\n  if (error.responseBody != null) {\n    try {\n      return JSON.parse(error.responseBody);\n    } catch {\n      return error.responseBody;\n    }\n  }\n  return {};\n}\n","import { z } from 'zod/v4';\nimport {\n  lazySchema,\n  safeValidateTypes,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\n\nexport const GATEWAY_AUTH_METHOD_HEADER = 'ai-gateway-auth-method' as const;\n\nexport async function parseAuthMethod(\n  headers: Record<string, string | undefined>,\n) {\n  const result = await safeValidateTypes({\n    value: headers[GATEWAY_AUTH_METHOD_HEADER],\n    schema: gatewayAuthMethodSchema,\n  });\n\n  return result.success ? result.value : undefined;\n}\n\nconst gatewayAuthMethodSchema = lazySchema(() =>\n  zodSchema(z.union([z.literal('api-key'), z.literal('oidc')])),\n);\n","import {\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  getFromApi,\n  lazySchema,\n  resolve,\n  zodSchema,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport { asGatewayError } from './errors';\nimport type { GatewayConfig } from './gateway-config';\nimport type { GatewayLanguageModelEntry } from './gateway-model-entry';\n\ntype GatewayFetchMetadataConfig = GatewayConfig;\n\nexport interface GatewayFetchMetadataResponse {\n  models: GatewayLanguageModelEntry[];\n}\n\nexport interface GatewayCreditsResponse {\n  /** The remaining gateway credit balance available for API usage */\n  balance: string;\n  /** The total amount of gateway credits that have been consumed */\n  totalUsed: string;\n}\n\nexport class GatewayFetchMetadata {\n  constructor(private readonly config: GatewayFetchMetadataConfig) {}\n\n  async getAvailableModels(): Promise<GatewayFetchMetadataResponse> {\n    try {\n      const { value } = await getFromApi({\n        url: `${this.config.baseURL}/config`,\n        headers: await resolve(this.config.headers()),\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayAvailableModelsResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n\n  async getCredits(): Promise<GatewayCreditsResponse> {\n    try {\n      const baseUrl = new URL(this.config.baseURL);\n\n      const { value } = await getFromApi({\n        url: `${baseUrl.origin}/v1/credits`,\n        headers: await resolve(this.config.headers()),\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayCreditsResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        fetch: this.config.fetch,\n      });\n\n      return value;\n    } catch (error) {\n      throw await asGatewayError(error);\n    }\n  }\n}\n\nconst gatewayAvailableModelsResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      models: z.array(\n        z.object({\n          id: z.string(),\n          name: z.string(),\n          description: z.string().nullish(),\n          pricing: z\n            .object({\n              input: z.string(),\n              output: z.string(),\n              input_cache_read: z.string().nullish(),\n              input_cache_write: z.string().nullish(),\n            })\n            .transform(\n              ({ input, output, input_cache_read, input_cache_write }) => ({\n                input,\n                output,\n                ...(input_cache_read\n                  ? { cachedInputTokens: input_cache_read }\n                  : {}),\n                ...(input_cache_write\n                  ? { cacheCreationInputTokens: input_cache_write }\n                  : {}),\n              }),\n            )\n            .nullish(),\n          specification: z.object({\n            specificationVersion: z.literal('v3'),\n            provider: z.string(),\n            modelId: z.string(),\n          }),\n          modelType: z.enum(['language', 'embedding', 'image']).nullish(),\n        }),\n      ),\n    }),\n  ),\n);\n\nconst gatewayCreditsResponseSchema = lazySchema(() =>\n  zodSchema(\n    z\n      .object({\n        balance: z.string(),\n        total_used: z.string(),\n      })\n      .transform(({ balance, total_used }) => ({\n        balance,\n        totalUsed: total_used,\n      })),\n  ),\n);\n","import type {\n  LanguageModelV3,\n  LanguageModelV3CallOptions,\n  SharedV3Warning,\n  LanguageModelV3FilePart,\n  LanguageModelV3StreamPart,\n  LanguageModelV3GenerateResult,\n  LanguageModelV3StreamResult,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  postJsonToApi,\n  resolve,\n  type ParseResult,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport type { GatewayConfig } from './gateway-config';\nimport type { GatewayModelId } from './gateway-language-model-settings';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\ntype GatewayChatConfig = GatewayConfig & {\n  provider: string;\n  o11yHeaders: Resolvable<Record<string, string>>;\n};\n\nexport class GatewayLanguageModel implements LanguageModelV3 {\n  readonly specificationVersion = 'v3';\n  readonly supportedUrls = { '*/*': [/.*/] };\n\n  constructor(\n    readonly modelId: GatewayModelId,\n    private readonly config: GatewayChatConfig,\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private async getArgs(options: LanguageModelV3CallOptions) {\n    const { abortSignal: _abortSignal, ...optionsWithoutSignal } = options;\n\n    return {\n      args: this.maybeEncodeFileParts(optionsWithoutSignal),\n      warnings: [],\n    };\n  }\n\n  async doGenerate(\n    options: LanguageModelV3CallOptions,\n  ): Promise<LanguageModelV3GenerateResult> {\n    const { args, warnings } = await this.getArgs(options);\n    const { abortSignal } = options;\n\n    const resolvedHeaders = await resolve(this.config.headers());\n\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue: rawResponse,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          options.headers,\n          this.getModelConfigHeaders(this.modelId, false),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: args,\n        successfulResponseHandler: createJsonResponseHandler(z.any()),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        ...responseBody,\n        request: { body: args },\n        response: { headers: responseHeaders, body: rawResponse },\n        warnings,\n      };\n    } catch (error) {\n      throw await asGatewayError(error, await parseAuthMethod(resolvedHeaders));\n    }\n  }\n\n  async doStream(\n    options: LanguageModelV3CallOptions,\n  ): Promise<LanguageModelV3StreamResult> {\n    const { args, warnings } = await this.getArgs(options);\n    const { abortSignal } = options;\n\n    const resolvedHeaders = await resolve(this.config.headers());\n\n    try {\n      const { value: response, responseHeaders } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          options.headers,\n          this.getModelConfigHeaders(this.modelId, true),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: args,\n        successfulResponseHandler: createEventSourceResponseHandler(z.any()),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        stream: response.pipeThrough(\n          new TransformStream<\n            ParseResult<LanguageModelV3StreamPart>,\n            LanguageModelV3StreamPart\n          >({\n            start(controller) {\n              if (warnings.length > 0) {\n                controller.enqueue({ type: 'stream-start', warnings });\n              }\n            },\n            transform(chunk, controller) {\n              if (chunk.success) {\n                const streamPart = chunk.value;\n\n                // Handle raw chunks: if this is a raw chunk from the gateway API,\n                // only emit it if includeRawChunks is true\n                if (streamPart.type === 'raw' && !options.includeRawChunks) {\n                  return; // Skip raw chunks if not requested\n                }\n\n                if (\n                  streamPart.type === 'response-metadata' &&\n                  streamPart.timestamp &&\n                  typeof streamPart.timestamp === 'string'\n                ) {\n                  streamPart.timestamp = new Date(streamPart.timestamp);\n                }\n\n                controller.enqueue(streamPart);\n              } else {\n                controller.error(\n                  (chunk as { success: false; error: unknown }).error,\n                );\n              }\n            },\n          }),\n        ),\n        request: { body: args },\n        response: { headers: responseHeaders },\n      };\n    } catch (error) {\n      throw await asGatewayError(error, await parseAuthMethod(resolvedHeaders));\n    }\n  }\n\n  private isFilePart(part: unknown) {\n    return (\n      part && typeof part === 'object' && 'type' in part && part.type === 'file'\n    );\n  }\n\n  /**\n   * Encodes file parts in the prompt to base64. Mutates the passed options\n   * instance directly to avoid copying the file data.\n   * @param options - The options to encode.\n   * @returns The options with the file parts encoded.\n   */\n  private maybeEncodeFileParts(options: LanguageModelV3CallOptions) {\n    for (const message of options.prompt) {\n      for (const part of message.content) {\n        if (this.isFilePart(part)) {\n          const filePart = part as LanguageModelV3FilePart;\n          // If the file part is a URL it will get cleanly converted to a string.\n          // If it's a binary file attachment we convert it to a data url.\n          // In either case, server-side we should only ever see URLs as strings.\n          if (filePart.data instanceof Uint8Array) {\n            const buffer = Uint8Array.from(filePart.data);\n            const base64Data = Buffer.from(buffer).toString('base64');\n            filePart.data = new URL(\n              `data:${filePart.mediaType || 'application/octet-stream'};base64,${base64Data}`,\n            );\n          }\n        }\n      }\n    }\n    return options;\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/language-model`;\n  }\n\n  private getModelConfigHeaders(modelId: string, streaming: boolean) {\n    return {\n      'ai-language-model-specification-version': '2',\n      'ai-language-model-id': modelId,\n      'ai-language-model-streaming': String(streaming),\n    };\n  }\n}\n","import type {\n  EmbeddingModelV3,\n  SharedV3ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonErrorResponseHandler,\n  createJsonResponseHandler,\n  lazySchema,\n  postJsonToApi,\n  resolve,\n  zodSchema,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\nimport type { GatewayConfig } from './gateway-config';\n\nexport class GatewayEmbeddingModel implements EmbeddingModelV3 {\n  readonly specificationVersion = 'v3';\n  readonly maxEmbeddingsPerCall = 2048;\n  readonly supportsParallelCalls = true;\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doEmbed({\n    values,\n    headers,\n    abortSignal,\n    providerOptions,\n  }: Parameters<EmbeddingModelV3['doEmbed']>[0]): Promise<\n    Awaited<ReturnType<EmbeddingModelV3['doEmbed']>>\n  > {\n    const resolvedHeaders = await resolve(this.config.headers());\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          values,\n          ...(providerOptions ? { providerOptions } : {}),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayEmbeddingResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        embeddings: responseBody.embeddings,\n        usage: responseBody.usage ?? undefined,\n        providerMetadata:\n          responseBody.providerMetadata as unknown as SharedV3ProviderMetadata,\n        response: { headers: responseHeaders, body: rawValue },\n        warnings: [],\n      };\n    } catch (error) {\n      throw await asGatewayError(error, await parseAuthMethod(resolvedHeaders));\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/embedding-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-embedding-model-specification-version': '2',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nconst gatewayEmbeddingResponseSchema = lazySchema(() =>\n  zodSchema(\n    z.object({\n      embeddings: z.array(z.array(z.number())),\n      usage: z.object({ tokens: z.number() }).nullish(),\n      providerMetadata: z\n        .record(z.string(), z.record(z.string(), z.unknown()))\n        .optional(),\n    }),\n  ),\n);\n","import type {\n  ImageModelV3,\n  ImageModelV3ProviderMetadata,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createJsonResponseHandler,\n  createJsonErrorResponseHandler,\n  postJsonToApi,\n  resolve,\n  type Resolvable,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport type { GatewayConfig } from './gateway-config';\nimport { asGatewayError } from './errors';\nimport { parseAuthMethod } from './errors/parse-auth-method';\n\nexport class GatewayImageModel implements ImageModelV3 {\n  readonly specificationVersion = 'v3' as const;\n  // Set a very large number to prevent client-side splitting of requests\n  readonly maxImagesPerCall = Number.MAX_SAFE_INTEGER;\n\n  constructor(\n    readonly modelId: string,\n    private readonly config: GatewayConfig & {\n      provider: string;\n      o11yHeaders: Resolvable<Record<string, string>>;\n    },\n  ) {}\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  async doGenerate({\n    prompt,\n    n,\n    size,\n    aspectRatio,\n    seed,\n    providerOptions,\n    headers,\n    abortSignal,\n  }: Parameters<ImageModelV3['doGenerate']>[0]): Promise<\n    Awaited<ReturnType<ImageModelV3['doGenerate']>>\n  > {\n    const resolvedHeaders = await resolve(this.config.headers());\n    try {\n      const {\n        responseHeaders,\n        value: responseBody,\n        rawValue,\n      } = await postJsonToApi({\n        url: this.getUrl(),\n        headers: combineHeaders(\n          resolvedHeaders,\n          headers ?? {},\n          this.getModelConfigHeaders(),\n          await resolve(this.config.o11yHeaders),\n        ),\n        body: {\n          prompt,\n          n,\n          ...(size && { size }),\n          ...(aspectRatio && { aspectRatio }),\n          ...(seed && { seed }),\n          ...(providerOptions && { providerOptions }),\n        },\n        successfulResponseHandler: createJsonResponseHandler(\n          gatewayImageResponseSchema,\n        ),\n        failedResponseHandler: createJsonErrorResponseHandler({\n          errorSchema: z.any(),\n          errorToMessage: data => data,\n        }),\n        ...(abortSignal && { abortSignal }),\n        fetch: this.config.fetch,\n      });\n\n      return {\n        images: responseBody.images, // Always base64 strings from server\n        warnings: responseBody.warnings ?? [],\n        providerMetadata:\n          responseBody.providerMetadata as ImageModelV3ProviderMetadata,\n        response: {\n          timestamp: new Date(),\n          modelId: this.modelId,\n          headers: responseHeaders,\n        },\n      };\n    } catch (error) {\n      throw asGatewayError(error, await parseAuthMethod(resolvedHeaders));\n    }\n  }\n\n  private getUrl() {\n    return `${this.config.baseURL}/image-model`;\n  }\n\n  private getModelConfigHeaders() {\n    return {\n      'ai-image-model-specification-version': '2',\n      'ai-model-id': this.modelId,\n    };\n  }\n}\n\nconst providerMetadataEntrySchema = z\n  .object({\n    images: z.array(z.unknown()).optional(),\n  })\n  .catchall(z.unknown());\n\nconst gatewayImageResponseSchema = z.object({\n  images: z.array(z.string()), // Always base64 strings over the wire\n  warnings: z\n    .array(\n      z.object({\n        type: z.literal('other'),\n        message: z.string(),\n      }),\n    )\n    .optional(),\n  providerMetadata: z\n    .record(z.string(), providerMetadataEntrySchema)\n    .optional(),\n});\n","import { getContext } from '@vercel/oidc';\nexport { getVercelOidcToken } from '@vercel/oidc';\n\nexport async function getVercelRequestId(): Promise<string | undefined> {\n  return getContext().headers?.['x-vercel-id'];\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    : 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