{"version":3,"sources":["../src/elevenlabs-provider.ts","../src/elevenlabs-transcription-model.ts","../src/elevenlabs-error.ts","../src/elevenlabs-speech-model.ts","../src/version.ts"],"sourcesContent":["import {\n NoSuchModelError,\n type TranscriptionModelV3,\n type SpeechModelV3,\n type ProviderV3,\n} from '@ai-sdk/provider';\nimport {\n loadApiKey,\n withUserAgentSuffix,\n type FetchFunction,\n} from '@ai-sdk/provider-utils';\nimport { ElevenLabsTranscriptionModel } from './elevenlabs-transcription-model';\nimport type { ElevenLabsTranscriptionModelId } from './elevenlabs-transcription-options';\nimport { ElevenLabsSpeechModel } from './elevenlabs-speech-model';\nimport type { ElevenLabsSpeechModelId } from './elevenlabs-speech-options';\nimport { VERSION } from './version';\n\nexport interface ElevenLabsProvider extends ProviderV3 {\n (\n modelId: 'scribe_v1',\n settings?: {},\n ): {\n transcription: ElevenLabsTranscriptionModel;\n };\n\n /**\n * Creates a model for transcription.\n */\n transcription(modelId: ElevenLabsTranscriptionModelId): TranscriptionModelV3;\n\n /**\n * Creates a model for speech generation.\n */\n speech(modelId: ElevenLabsSpeechModelId): SpeechModelV3;\n\n /**\n * @deprecated Use `embeddingModel` instead.\n */\n textEmbeddingModel(modelId: string): never;\n}\n\nexport interface ElevenLabsProviderSettings {\n /**\n * API key for authenticating requests.\n */\n apiKey?: string;\n\n /**\n * Custom headers to include in the requests.\n */\n headers?: Record;\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 an ElevenLabs provider instance.\n */\nexport function createElevenLabs(\n options: ElevenLabsProviderSettings = {},\n): ElevenLabsProvider {\n const getHeaders = () =>\n withUserAgentSuffix(\n {\n 'xi-api-key': loadApiKey({\n apiKey: options.apiKey,\n environmentVariableName: 'ELEVENLABS_API_KEY',\n description: 'ElevenLabs',\n }),\n ...options.headers,\n },\n `ai-sdk/elevenlabs/${VERSION}`,\n );\n\n const createTranscriptionModel = (modelId: ElevenLabsTranscriptionModelId) =>\n new ElevenLabsTranscriptionModel(modelId, {\n provider: `elevenlabs.transcription`,\n url: ({ path }) => `https://api.elevenlabs.io${path}`,\n headers: getHeaders,\n fetch: options.fetch,\n });\n\n const createSpeechModel = (modelId: ElevenLabsSpeechModelId) =>\n new ElevenLabsSpeechModel(modelId, {\n provider: `elevenlabs.speech`,\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.specificationVersion = 'v3' as const;\n provider.transcription = createTranscriptionModel;\n provider.transcriptionModel = createTranscriptionModel;\n provider.speech = createSpeechModel;\n provider.speechModel = createSpeechModel;\n\n provider.languageModel = (modelId: string) => {\n throw new NoSuchModelError({\n modelId,\n modelType: 'languageModel',\n message: 'ElevenLabs does not provide language models',\n });\n };\n\n provider.embeddingModel = (modelId: string) => {\n throw new NoSuchModelError({\n modelId,\n modelType: 'embeddingModel',\n message: 'ElevenLabs does not provide embedding models',\n });\n };\n provider.textEmbeddingModel = provider.embeddingModel;\n\n provider.imageModel = (modelId: string) => {\n throw new NoSuchModelError({\n modelId,\n modelType: 'imageModel',\n message: 'ElevenLabs does not provide image models',\n });\n };\n\n return provider as ElevenLabsProvider;\n}\n\n/**\n * Default ElevenLabs provider instance.\n */\nexport const elevenlabs = createElevenLabs();\n","import type { TranscriptionModelV3, SharedV3Warning } from '@ai-sdk/provider';\nimport {\n combineHeaders,\n convertBase64ToUint8Array,\n createJsonResponseHandler,\n mediaTypeToExtension,\n parseProviderOptions,\n postFormDataToApi,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport type { ElevenLabsConfig } from './elevenlabs-config';\nimport { elevenlabsFailedResponseHandler } from './elevenlabs-error';\nimport type { ElevenLabsTranscriptionModelId } from './elevenlabs-transcription-options';\nimport type { ElevenLabsTranscriptionAPITypes } from './elevenlabs-api-types';\n\n// https://elevenlabs.io/docs/api-reference/speech-to-text/convert\nconst elevenLabsTranscriptionModelOptionsSchema = 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 ElevenLabsTranscriptionModelOptions = z.infer<\n typeof elevenLabsTranscriptionModelOptionsSchema\n>;\n\ninterface ElevenLabsTranscriptionModelConfig extends ElevenLabsConfig {\n _internal?: {\n currentDate?: () => Date;\n };\n}\n\nexport class ElevenLabsTranscriptionModel implements TranscriptionModelV3 {\n readonly specificationVersion = 'v3';\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[0]) {\n const warnings: SharedV3Warning[] = [];\n\n // Parse provider options\n const elevenlabsOptions = await parseProviderOptions({\n provider: 'elevenlabs',\n providerOptions,\n schema: elevenLabsTranscriptionModelOptionsSchema,\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 const fileExtension = mediaTypeToExtension(mediaType);\n formData.append(\n 'file',\n new File([blob], 'audio', { type: mediaType }),\n `audio.${fileExtension}`,\n );\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[0],\n ): Promise>> {\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;\n\nexport const elevenlabsFailedResponseHandler = createJsonErrorResponseHandler({\n errorSchema: elevenlabsErrorDataSchema,\n errorToMessage: data => data.error.message,\n});\n","import type { SpeechModelV3, SharedV3Warning } from '@ai-sdk/provider';\nimport {\n combineHeaders,\n createBinaryResponseHandler,\n parseProviderOptions,\n postJsonToApi,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport type { ElevenLabsConfig } from './elevenlabs-config';\nimport { elevenlabsFailedResponseHandler } from './elevenlabs-error';\nimport type { ElevenLabsSpeechAPITypes } from './elevenlabs-speech-api-types';\nimport type {\n ElevenLabsSpeechModelId,\n ElevenLabsSpeechVoiceId,\n} from './elevenlabs-speech-options';\n\n// Schema for camelCase input from users\nconst elevenLabsSpeechModelOptionsSchema = z.object({\n languageCode: z.string().optional(),\n voiceSettings: z\n .object({\n stability: z.number().min(0).max(1).optional(),\n similarityBoost: z.number().min(0).max(1).optional(),\n style: z.number().min(0).max(1).optional(),\n useSpeakerBoost: z.boolean().optional(),\n })\n .optional(),\n pronunciationDictionaryLocators: z\n .array(\n z.object({\n pronunciationDictionaryId: z.string(),\n versionId: z.string().optional(),\n }),\n )\n .max(3)\n .optional(),\n seed: z.number().min(0).max(4294967295).optional(),\n previousText: z.string().optional(),\n nextText: z.string().optional(),\n previousRequestIds: z.array(z.string()).max(3).optional(),\n nextRequestIds: z.array(z.string()).max(3).optional(),\n applyTextNormalization: z.enum(['auto', 'on', 'off']).optional(),\n applyLanguageTextNormalization: z.boolean().optional(),\n enableLogging: z.boolean().optional(),\n});\n\nexport type ElevenLabsSpeechModelOptions = z.infer<\n typeof elevenLabsSpeechModelOptionsSchema\n>;\n\ninterface ElevenLabsSpeechModelConfig extends ElevenLabsConfig {\n _internal?: {\n currentDate?: () => Date;\n };\n}\n\nexport class ElevenLabsSpeechModel implements SpeechModelV3 {\n readonly specificationVersion = 'v3';\n\n get provider(): string {\n return this.config.provider;\n }\n\n constructor(\n readonly modelId: ElevenLabsSpeechModelId,\n private readonly config: ElevenLabsSpeechModelConfig,\n ) {}\n\n private async getArgs({\n text,\n voice = '21m00Tcm4TlvDq8ikWAM',\n outputFormat = 'mp3_44100_128',\n instructions,\n language,\n speed,\n providerOptions,\n }: Parameters[0]) {\n const warnings: SharedV3Warning[] = [];\n\n // Parse provider options\n const elevenLabsOptions = await parseProviderOptions({\n provider: 'elevenlabs',\n providerOptions,\n schema: elevenLabsSpeechModelOptionsSchema,\n });\n\n // Create request body\n const requestBody: ElevenLabsSpeechAPITypes = {\n text,\n model_id: this.modelId,\n };\n\n // Prepare query parameters\n const queryParams: Record = {};\n\n // Map outputFormat to ElevenLabs format (as query param)\n if (outputFormat) {\n const formatMap: Record = {\n mp3: 'mp3_44100_128',\n mp3_32: 'mp3_44100_32',\n mp3_64: 'mp3_44100_64',\n mp3_96: 'mp3_44100_96',\n mp3_128: 'mp3_44100_128',\n mp3_192: 'mp3_44100_192',\n pcm: 'pcm_44100',\n pcm_16000: 'pcm_16000',\n pcm_22050: 'pcm_22050',\n pcm_24000: 'pcm_24000',\n pcm_44100: 'pcm_44100',\n ulaw: 'ulaw_8000',\n };\n\n const mappedFormat = formatMap[outputFormat] || outputFormat;\n queryParams.output_format = mappedFormat;\n }\n\n // Add language code if provided\n if (language) {\n requestBody.language_code = language;\n }\n\n const voiceSettings: typeof requestBody.voice_settings = {};\n\n if (speed != null) {\n voiceSettings.speed = speed;\n }\n\n // Add provider-specific options - map from camelCase to snake_case\n if (elevenLabsOptions) {\n if (elevenLabsOptions.voiceSettings) {\n // Map camelCase voice settings to snake_case for API\n if (elevenLabsOptions.voiceSettings.stability != null) {\n voiceSettings.stability = elevenLabsOptions.voiceSettings.stability;\n }\n if (elevenLabsOptions.voiceSettings.similarityBoost != null) {\n voiceSettings.similarity_boost =\n elevenLabsOptions.voiceSettings.similarityBoost;\n }\n if (elevenLabsOptions.voiceSettings.style != null) {\n voiceSettings.style = elevenLabsOptions.voiceSettings.style;\n }\n if (elevenLabsOptions.voiceSettings.useSpeakerBoost != null) {\n voiceSettings.use_speaker_boost =\n elevenLabsOptions.voiceSettings.useSpeakerBoost;\n }\n }\n // Add language code from provider options if not already set\n if (elevenLabsOptions.languageCode && !requestBody.language_code) {\n requestBody.language_code = elevenLabsOptions.languageCode;\n }\n\n // Map pronunciation dictionary locators\n if (elevenLabsOptions.pronunciationDictionaryLocators) {\n requestBody.pronunciation_dictionary_locators =\n elevenLabsOptions.pronunciationDictionaryLocators.map(locator => ({\n pronunciation_dictionary_id: locator.pronunciationDictionaryId,\n ...(locator.versionId && { version_id: locator.versionId }),\n }));\n }\n\n if (elevenLabsOptions.seed != null) {\n requestBody.seed = elevenLabsOptions.seed;\n }\n if (elevenLabsOptions.previousText) {\n requestBody.previous_text = elevenLabsOptions.previousText;\n }\n if (elevenLabsOptions.nextText) {\n requestBody.next_text = elevenLabsOptions.nextText;\n }\n\n // Add previous and next request IDs\n if (elevenLabsOptions.previousRequestIds) {\n requestBody.previous_request_ids = elevenLabsOptions.previousRequestIds;\n }\n if (elevenLabsOptions.nextRequestIds) {\n requestBody.next_request_ids = elevenLabsOptions.nextRequestIds;\n }\n\n // Add text normalization options\n if (elevenLabsOptions.applyTextNormalization) {\n requestBody.apply_text_normalization =\n elevenLabsOptions.applyTextNormalization;\n }\n if (elevenLabsOptions.applyLanguageTextNormalization != null) {\n requestBody.apply_language_text_normalization =\n elevenLabsOptions.applyLanguageTextNormalization;\n }\n\n // enable_logging is a query parameter\n if (elevenLabsOptions.enableLogging != null) {\n queryParams.enable_logging = String(elevenLabsOptions.enableLogging);\n }\n }\n\n // Only add voice_settings if there are settings to add\n if (Object.keys(voiceSettings).length > 0) {\n requestBody.voice_settings = voiceSettings;\n }\n\n if (instructions) {\n warnings.push({\n type: 'unsupported',\n feature: 'instructions',\n details: `ElevenLabs speech models do not support instructions. Instructions parameter was ignored.`,\n });\n }\n\n return {\n requestBody,\n queryParams,\n warnings,\n voiceId: voice as ElevenLabsSpeechVoiceId,\n };\n }\n\n async doGenerate(\n options: Parameters[0],\n ): Promise>> {\n const currentDate = this.config._internal?.currentDate?.() ?? new Date();\n const { requestBody, queryParams, warnings, voiceId } =\n await this.getArgs(options);\n\n const {\n value: audio,\n responseHeaders,\n rawValue: rawResponse,\n } = await postJsonToApi({\n url: (() => {\n const baseUrl = this.config.url({\n path: `/v1/text-to-speech/${voiceId}`,\n modelId: this.modelId,\n });\n const queryString = new URLSearchParams(queryParams).toString();\n return queryString ? `${baseUrl}?${queryString}` : baseUrl;\n })(),\n headers: combineHeaders(this.config.headers(), options.headers),\n body: requestBody,\n failedResponseHandler: elevenlabsFailedResponseHandler,\n successfulResponseHandler: createBinaryResponseHandler(),\n abortSignal: options.abortSignal,\n fetch: this.config.fetch,\n });\n\n return {\n audio,\n warnings,\n request: {\n body: JSON.stringify(requestBody),\n },\n response: {\n timestamp: currentDate,\n modelId: this.modelId,\n headers: responseHeaders,\n body: rawResponse,\n },\n };\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 : 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