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

The **[ElevenLabs provider](https://ai-sdk.dev/providers/ai-sdk-providers/elevenlabs)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the ElevenLabs chat and completion APIs and embedding model support for the ElevenLabs em

{"version":3,"sources":["../src/elevenlabs-provider.ts","../src/elevenlabs-transcription-model.ts","../src/elevenlabs-error.ts"],"sourcesContent":["import {\n  TranscriptionModelV2,\n  ProviderV2,\n  NoSuchModelError,\n} from '@ai-sdk/provider';\nimport { FetchFunction, loadApiKey } from '@ai-sdk/provider-utils';\nimport { ElevenLabsTranscriptionModel } from './elevenlabs-transcription-model';\nimport { ElevenLabsTranscriptionModelId } from './elevenlabs-transcription-options';\n\nexport interface ElevenLabsProvider extends ProviderV2 {\n  (\n    modelId: 'scribe_v1',\n    settings?: {},\n  ): {\n    transcription: ElevenLabsTranscriptionModel;\n  };\n\n  /**\nCreates a model for transcription.\n   */\n  transcription(modelId: ElevenLabsTranscriptionModelId): TranscriptionModelV2;\n}\n\nexport interface ElevenLabsProviderSettings {\n  /**\nAPI key for authenticating requests.\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\n/**\nCreate an ElevenLabs provider instance.\n */\nexport function createElevenLabs(\n  options: ElevenLabsProviderSettings = {},\n): ElevenLabsProvider {\n  const getHeaders = () => ({\n    'xi-api-key': loadApiKey({\n      apiKey: options.apiKey,\n      environmentVariableName: 'ELEVENLABS_API_KEY',\n      description: 'ElevenLabs',\n    }),\n    ...options.headers,\n  });\n\n  const createTranscriptionModel = (modelId: ElevenLabsTranscriptionModelId) =>\n    new ElevenLabsTranscriptionModel(modelId, {\n      provider: `elevenlabs.transcription`,\n      url: ({ path }) => `https://api.elevenlabs.io${path}`,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (modelId: ElevenLabsTranscriptionModelId) {\n    return {\n      transcription: createTranscriptionModel(modelId),\n    };\n  };\n\n  provider.transcription = createTranscriptionModel;\n  provider.transcriptionModel = createTranscriptionModel;\n\n  provider.languageModel = () => {\n    throw new NoSuchModelError({\n      modelId: 'unknown',\n      modelType: 'languageModel',\n      message: 'ElevenLabs does not provide language models',\n    });\n  };\n\n  provider.textEmbeddingModel = () => {\n    throw new NoSuchModelError({\n      modelId: 'unknown',\n      modelType: 'textEmbeddingModel',\n      message: 'ElevenLabs does not provide text embedding models',\n    });\n  };\n\n  provider.imageModel = () => {\n    throw new NoSuchModelError({\n      modelId: 'unknown',\n      modelType: 'imageModel',\n      message: 'ElevenLabs does not provide image models',\n    });\n  };\n\n  return provider as ElevenLabsProvider;\n}\n\n/**\nDefault ElevenLabs provider instance.\n */\nexport const elevenlabs = createElevenLabs();\n","import {\n  TranscriptionModelV2,\n  TranscriptionModelV2CallOptions,\n  TranscriptionModelV2CallWarning,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  convertBase64ToUint8Array,\n  createJsonResponseHandler,\n  parseProviderOptions,\n  postFormDataToApi,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport { ElevenLabsConfig } from './elevenlabs-config';\nimport { elevenlabsFailedResponseHandler } from './elevenlabs-error';\nimport { ElevenLabsTranscriptionModelId } from './elevenlabs-transcription-options';\nimport { ElevenLabsTranscriptionAPITypes } from './elevenlabs-api-types';\n\n// https://elevenlabs.io/docs/api-reference/speech-to-text/convert\nconst elevenLabsProviderOptionsSchema = z.object({\n  languageCode: z.string().nullish(),\n  tagAudioEvents: z.boolean().nullish().default(true),\n  numSpeakers: z.number().int().min(1).max(32).nullish(),\n  timestampsGranularity: z\n    .enum(['none', 'word', 'character'])\n    .nullish()\n    .default('word'),\n  diarize: z.boolean().nullish().default(false),\n  fileFormat: z.enum(['pcm_s16le_16', 'other']).nullish().default('other'),\n});\n\nexport type ElevenLabsTranscriptionCallOptions = z.infer<\n  typeof elevenLabsProviderOptionsSchema\n>;\n\ninterface ElevenLabsTranscriptionModelConfig extends ElevenLabsConfig {\n  _internal?: {\n    currentDate?: () => Date;\n  };\n}\n\nexport class ElevenLabsTranscriptionModel implements TranscriptionModelV2 {\n  readonly specificationVersion = 'v2';\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  constructor(\n    readonly modelId: ElevenLabsTranscriptionModelId,\n    private readonly config: ElevenLabsTranscriptionModelConfig,\n  ) {}\n\n  private async getArgs({\n    audio,\n    mediaType,\n    providerOptions,\n  }: Parameters<TranscriptionModelV2['doGenerate']>[0]) {\n    const warnings: TranscriptionModelV2CallWarning[] = [];\n\n    // Parse provider options\n    const elevenlabsOptions = await parseProviderOptions({\n      provider: 'elevenlabs',\n      providerOptions,\n      schema: elevenLabsProviderOptionsSchema,\n    });\n\n    // Create form data with base fields\n    const formData = new FormData();\n    const blob =\n      audio instanceof Uint8Array\n        ? new Blob([audio])\n        : new Blob([convertBase64ToUint8Array(audio)]);\n\n    formData.append('model_id', this.modelId);\n    formData.append('file', new File([blob], 'audio', { type: mediaType }));\n    formData.append('diarize', 'true');\n\n    // Add provider-specific options\n    if (elevenlabsOptions) {\n      const transcriptionModelOptions: ElevenLabsTranscriptionAPITypes = {\n        language_code: elevenlabsOptions.languageCode ?? undefined,\n        tag_audio_events: elevenlabsOptions.tagAudioEvents ?? undefined,\n        num_speakers: elevenlabsOptions.numSpeakers ?? undefined,\n        timestamps_granularity:\n          elevenlabsOptions.timestampsGranularity ?? undefined,\n        file_format: elevenlabsOptions.fileFormat ?? undefined,\n      };\n\n      if (typeof elevenlabsOptions.diarize === 'boolean') {\n        formData.append('diarize', String(elevenlabsOptions.diarize));\n      }\n\n      for (const key in transcriptionModelOptions) {\n        const value =\n          transcriptionModelOptions[\n            key as keyof ElevenLabsTranscriptionAPITypes\n          ];\n        if (value !== undefined) {\n          formData.append(key, String(value));\n        }\n      }\n    }\n\n    return {\n      formData,\n      warnings,\n    };\n  }\n\n  async doGenerate(\n    options: Parameters<TranscriptionModelV2['doGenerate']>[0],\n  ): Promise<Awaited<ReturnType<TranscriptionModelV2['doGenerate']>>> {\n    const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n    const { formData, warnings } = await this.getArgs(options);\n\n    const {\n      value: response,\n      responseHeaders,\n      rawValue: rawResponse,\n    } = await postFormDataToApi({\n      url: this.config.url({\n        path: '/v1/speech-to-text',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      formData,\n      failedResponseHandler: elevenlabsFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        elevenlabsTranscriptionResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    return {\n      text: response.text,\n      segments:\n        response.words?.map(word => ({\n          text: word.text,\n          startSecond: word.start ?? 0,\n          endSecond: word.end ?? 0,\n        })) ?? [],\n      language: response.language_code,\n      durationInSeconds: response.words?.at(-1)?.end ?? undefined,\n      warnings,\n      response: {\n        timestamp: currentDate,\n        modelId: this.modelId,\n        headers: responseHeaders,\n        body: rawResponse,\n      },\n    };\n  }\n}\n\nconst elevenlabsTranscriptionResponseSchema = z.object({\n  language_code: z.string(),\n  language_probability: z.number(),\n  text: z.string(),\n  words: z\n    .array(\n      z.object({\n        text: z.string(),\n        type: z.enum(['word', 'spacing', 'audio_event']),\n        start: z.number().nullish(),\n        end: z.number().nullish(),\n        speaker_id: z.string().nullish(),\n        characters: z\n          .array(\n            z.object({\n              text: z.string(),\n              start: z.number().nullish(),\n              end: z.number().nullish(),\n            }),\n          )\n          .nullish(),\n      }),\n    )\n    .nullish(),\n});\n","import { z } from 'zod/v4';\nimport { createJsonErrorResponseHandler } from '@ai-sdk/provider-utils';\n\nexport const elevenlabsErrorDataSchema = z.object({\n  error: z.object({\n    message: z.string(),\n    code: z.number(),\n  }),\n});\n\nexport type ElevenLabsErrorData = z.infer<typeof elevenlabsErrorDataSchema>;\n\nexport const elevenlabsFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: elevenlabsErrorDataSchema,\n  errorToMessage: data => 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