{"version":3,"sources":["../../src/inference/tts.test.ts"],"sourcesContent":["// SPDX-FileCopyrightText: 2025 LiveKit, Inc.\n//\n// SPDX-License-Identifier: Apache-2.0\nimport { once } from 'node:events';\nimport type { AddressInfo } from 'node:net';\nimport { beforeAll, describe, expect, it, vi } from 'vitest';\nimport { type WebSocket, WebSocketServer } from 'ws';\nimport * as agents from '../index.js';\nimport { normalizeLanguage } from '../language.js';\nimport { initializeLogger } from '../log.js';\nimport { type APIConnectOptions, DEFAULT_API_CONNECT_OPTIONS } from '../types.js';\nimport { STT } from './stt.js';\nimport { describeLiveKitInference } from './test_utils.js';\nimport {\n TTS,\n type TTSFallbackModel,\n hasAlignedTranscript,\n normalizeTTSFallback,\n parseTTSModelString,\n} from './tts.js';\n\nbeforeAll(() => {\n initializeLogger({ level: 'silent', pretty: false });\n});\n\n/** Helper to create TTS with required credentials. */\nfunction makeTts(overrides: Record = {}) {\n const defaults = {\n model: 'cartesia/sonic' as const,\n apiKey: 'test-key',\n apiSecret: 'test-secret',\n baseURL: 'https://example.livekit.cloud',\n };\n return new TTS({ ...defaults, ...overrides });\n}\n\ndescribe('Inference TTS connection', () => {\n it('includes the model in the dial URL', async () => {\n const server = new WebSocketServer({ host: '127.0.0.1', port: 0 });\n await once(server, 'listening');\n const address = server.address() as AddressInfo;\n let resolveRequestUrl!: (url: string) => void;\n const requestUrl = new Promise((resolve) => {\n resolveRequestUrl = resolve;\n });\n\n server.on('connection', (_socket, request) => {\n resolveRequestUrl(request.url ?? '');\n });\n\n const tts = makeTts({\n model: 'cartesia/sonic-3',\n baseURL: `http://127.0.0.1:${address.port}`,\n });\n let socket: WebSocket | undefined;\n\n try {\n socket = await tts.connectWs(1_000);\n\n expect(new URL(await requestUrl, 'ws://127.0.0.1').searchParams.get('model')).toBe(\n 'cartesia/sonic-3',\n );\n } finally {\n socket?.terminate();\n for (const client of server.clients) client.terminate();\n await tts.close();\n await new Promise((resolve) => server.close(() => resolve()));\n }\n });\n});\n\ndescribe('parseTTSModelString', () => {\n it('simple model without voice', () => {\n const [model, voice] = parseTTSModelString('cartesia');\n expect(model).toBe('cartesia');\n expect(voice).toBeUndefined();\n });\n\n it('model with voice suffix', () => {\n const [model, voice] = parseTTSModelString('cartesia:my-voice-id');\n expect(model).toBe('cartesia');\n expect(voice).toBe('my-voice-id');\n });\n\n it('provider/model format without voice', () => {\n const [model, voice] = parseTTSModelString('cartesia/sonic');\n expect(model).toBe('cartesia/sonic');\n expect(voice).toBeUndefined();\n });\n\n it('provider/model format with voice', () => {\n const [model, voice] = parseTTSModelString('cartesia/sonic:my-voice-id');\n expect(model).toBe('cartesia/sonic');\n expect(voice).toBe('my-voice-id');\n });\n\n it.each([\n ['deepgram/aura-2:voice123', 'deepgram/aura-2', 'voice123'],\n ['rime:speaker-a', 'rime', 'speaker-a'],\n ['rime/mist:narrator', 'rime/mist', 'narrator'],\n ['inworld/inworld-tts-1:character', 'inworld/inworld-tts-1', 'character'],\n ['cartesia/sonic-turbo:deep-voice', 'cartesia/sonic-turbo', 'deep-voice'],\n ])('various providers and voices: %s', (modelStr, expectedModel, expectedVoice) => {\n const [model, voice] = parseTTSModelString(modelStr);\n expect(model).toBe(expectedModel);\n expect(voice).toBe(expectedVoice);\n });\n\n it('empty voice after colon', () => {\n const [model, voice] = parseTTSModelString('cartesia/sonic:');\n expect(model).toBe('cartesia/sonic');\n expect(voice).toBe('');\n });\n});\n\ndescribe('normalizeTTSFallback', () => {\n it('single string model', () => {\n const result = normalizeTTSFallback('cartesia/sonic');\n expect(result).toEqual([{ model: 'cartesia/sonic', voice: '' }]);\n });\n\n it('single string model with voice', () => {\n const result = normalizeTTSFallback('cartesia/sonic:my-voice');\n expect(result).toEqual([{ model: 'cartesia/sonic', voice: 'my-voice' }]);\n });\n\n it('single FallbackModel dict', () => {\n const fallback: TTSFallbackModel = { model: 'cartesia/sonic', voice: 'narrator' };\n const result = normalizeTTSFallback(fallback);\n expect(result).toEqual([{ model: 'cartesia/sonic', voice: 'narrator' }]);\n });\n\n it('list of string models', () => {\n const result = normalizeTTSFallback(['cartesia/sonic', 'deepgram/aura-2']);\n expect(result).toEqual([\n { model: 'cartesia/sonic', voice: '' },\n { model: 'deepgram/aura-2', voice: '' },\n ]);\n });\n\n it('list of string models with voices', () => {\n const result = normalizeTTSFallback(['cartesia/sonic:voice1', 'deepgram/aura-2:voice2']);\n expect(result).toEqual([\n { model: 'cartesia/sonic', voice: 'voice1' },\n { model: 'deepgram/aura-2', voice: 'voice2' },\n ]);\n });\n\n it('list of FallbackModel dicts', () => {\n const fallbacks: TTSFallbackModel[] = [\n { model: 'cartesia/sonic', voice: 'narrator' },\n { model: 'deepgram/aura-2', voice: '' },\n ];\n const result = normalizeTTSFallback(fallbacks);\n expect(result).toEqual([\n { model: 'cartesia/sonic', voice: 'narrator' },\n { model: 'deepgram/aura-2', voice: '' },\n ]);\n });\n\n it('mixed list of strings and dicts', () => {\n const result = normalizeTTSFallback([\n 'cartesia/sonic:voice1',\n { model: 'deepgram/aura-2', voice: 'custom' } as TTSFallbackModel,\n 'rime/mist',\n ]);\n expect(result).toEqual([\n { model: 'cartesia/sonic', voice: 'voice1' },\n { model: 'deepgram/aura-2', voice: 'custom' },\n { model: 'rime/mist', voice: '' },\n ]);\n });\n\n it('FallbackModel with extraKwargs is preserved', () => {\n const fallback: TTSFallbackModel = {\n model: 'cartesia/sonic',\n voice: 'narrator',\n extraKwargs: { duration: 30.0, speed: 'fast' },\n };\n const result = normalizeTTSFallback(fallback);\n expect(result).toEqual([\n {\n model: 'cartesia/sonic',\n voice: 'narrator',\n extraKwargs: { duration: 30.0, speed: 'fast' },\n },\n ]);\n });\n\n it('list with extraKwargs preserved', () => {\n const result = normalizeTTSFallback([\n { model: 'cartesia/sonic', voice: 'v1', extraKwargs: { speed: 'slow' } } as TTSFallbackModel,\n 'deepgram/aura-2:voice2',\n { model: 'rime/mist', voice: '', extraKwargs: { custom: true } } as TTSFallbackModel,\n ]);\n expect(result).toEqual([\n { model: 'cartesia/sonic', voice: 'v1', extraKwargs: { speed: 'slow' } },\n { model: 'deepgram/aura-2', voice: 'voice2' },\n { model: 'rime/mist', voice: '', extraKwargs: { custom: true } },\n ]);\n });\n\n it('empty list returns empty list', () => {\n const result = normalizeTTSFallback([]);\n expect(result).toEqual([]);\n });\n\n it('FallbackModel with empty voice', () => {\n const fallback: TTSFallbackModel = { model: 'cartesia/sonic', voice: '' };\n const result = normalizeTTSFallback(fallback);\n expect(result).toEqual([{ model: 'cartesia/sonic', voice: '' }]);\n });\n});\n\ndescribe('TTS constructor fallback and connOptions', () => {\n it('normalizes language in constructor', () => {\n const tts = makeTts({ language: 'english' });\n expect(tts['opts'].language).toBe('en');\n });\n\n it('normalizes updated language values', () => {\n const tts = makeTts();\n tts.updateOptions({ language: 'en_US' });\n expect(tts['opts'].language).toBe(normalizeLanguage('en_US'));\n });\n\n it('fallback not given defaults to undefined', () => {\n const tts = makeTts();\n expect(tts['opts'].fallback).toBeUndefined();\n });\n\n it('fallback single string is normalized', () => {\n const tts = makeTts({ fallback: 'deepgram/aura-2' });\n expect(tts['opts'].fallback).toEqual([{ model: 'deepgram/aura-2', voice: '' }]);\n });\n\n it('fallback single string with voice is normalized', () => {\n const tts = makeTts({ fallback: 'cartesia/sonic:my-voice' });\n expect(tts['opts'].fallback).toEqual([{ model: 'cartesia/sonic', voice: 'my-voice' }]);\n });\n\n it('fallback list of strings is normalized', () => {\n const tts = makeTts({ fallback: ['cartesia/sonic', 'deepgram/aura-2'] });\n expect(tts['opts'].fallback).toEqual([\n { model: 'cartesia/sonic', voice: '' },\n { model: 'deepgram/aura-2', voice: '' },\n ]);\n });\n\n it('fallback single FallbackModel is normalized to list', () => {\n const tts = makeTts({ fallback: { model: 'cartesia/sonic', voice: 'narrator' } });\n expect(tts['opts'].fallback).toEqual([{ model: 'cartesia/sonic', voice: 'narrator' }]);\n });\n\n it('fallback with extraKwargs is preserved', () => {\n const tts = makeTts({\n fallback: {\n model: 'cartesia/sonic',\n voice: 'narrator',\n extraKwargs: { duration: 30.0, speed: 'fast' },\n },\n });\n expect(tts['opts'].fallback).toEqual([\n {\n model: 'cartesia/sonic',\n voice: 'narrator',\n extraKwargs: { duration: 30.0, speed: 'fast' },\n },\n ]);\n });\n\n it('fallback mixed list is normalized', () => {\n const tts = makeTts({\n fallback: [\n 'cartesia/sonic:voice1',\n { model: 'deepgram/aura-2', voice: 'custom', extraKwargs: { mip_opt_out: true } },\n 'rime/mist',\n ],\n });\n expect(tts['opts'].fallback).toEqual([\n { model: 'cartesia/sonic', voice: 'voice1' },\n { model: 'deepgram/aura-2', voice: 'custom', extraKwargs: { mip_opt_out: true } },\n { model: 'rime/mist', voice: '' },\n ]);\n });\n\n it('connOptions not given uses default', () => {\n const tts = makeTts();\n expect(tts['opts'].connOptions).toEqual(DEFAULT_API_CONNECT_OPTIONS);\n });\n\n it('connOptions custom timeout', () => {\n const custom: APIConnectOptions = { timeoutMs: 30000, maxRetry: 3, retryIntervalMs: 2000 };\n const tts = makeTts({ connOptions: custom });\n expect(tts['opts'].connOptions).toEqual(custom);\n expect(tts['opts'].connOptions!.timeoutMs).toBe(30000);\n });\n\n it('connOptions custom maxRetry', () => {\n const custom: APIConnectOptions = { timeoutMs: 10000, maxRetry: 5, retryIntervalMs: 2000 };\n const tts = makeTts({ connOptions: custom });\n expect(tts['opts'].connOptions).toEqual(custom);\n expect(tts['opts'].connOptions!.maxRetry).toBe(5);\n });\n\n it('connOptions full custom', () => {\n const custom: APIConnectOptions = { timeoutMs: 60000, maxRetry: 10, retryIntervalMs: 2000 };\n const tts = makeTts({ connOptions: custom });\n expect(tts['opts'].connOptions).toEqual(custom);\n expect(tts['opts'].connOptions!.timeoutMs).toBe(60000);\n expect(tts['opts'].connOptions!.maxRetry).toBe(10);\n expect(tts['opts'].connOptions!.retryIntervalMs).toBe(2000);\n });\n});\n\ndescribe('TTS provider modelOptions', () => {\n it('accepts expanded Cartesia inference model options', () => {\n const modelOptions = {\n speed: 1.15,\n emotion: 'curious',\n add_timestamps: true,\n };\n\n const tts = new TTS({\n model: 'cartesia/sonic' as const,\n apiKey: 'test-key',\n apiSecret: 'test-secret',\n baseURL: 'https://example.livekit.cloud',\n modelOptions,\n });\n\n expect(tts['opts'].modelOptions).toEqual(modelOptions);\n });\n\n it('accepts Deepgram inference model options', () => {\n const modelOptions = { mip_opt_out: true };\n\n const tts = new TTS({\n model: 'deepgram/aura-2' as const,\n apiKey: 'test-key',\n apiSecret: 'test-secret',\n baseURL: 'https://example.livekit.cloud',\n modelOptions,\n });\n\n expect(tts['opts'].modelOptions).toEqual(modelOptions);\n });\n\n it('accepts Rime inference model options', () => {\n const modelOptions = {\n speed_alpha: 0.9,\n pause_between_brackets: true,\n };\n\n const tts = new TTS({\n model: 'rime/mistv2' as const,\n apiKey: 'test-key',\n apiSecret: 'test-secret',\n baseURL: 'https://example.livekit.cloud',\n modelOptions,\n });\n\n expect(tts['opts'].modelOptions).toEqual(modelOptions);\n });\n\n it('accepts Inworld inference model options', () => {\n const modelOptions = {\n timestamp_type: 'WORD' as const,\n apply_text_normalization: 'ON' as const,\n };\n\n const tts = new TTS({\n model: 'inworld/inworld-tts-1' as const,\n apiKey: 'test-key',\n apiSecret: 'test-secret',\n baseURL: 'https://example.livekit.cloud',\n modelOptions,\n });\n\n expect(tts['opts'].modelOptions).toEqual(modelOptions);\n });\n});\n\ndescribe('hasAlignedTranscript', () => {\n it('returns false for unknown provider', () => {\n expect(hasAlignedTranscript('rime/mistv2', { add_timestamps: true })).toBe(false);\n expect(hasAlignedTranscript('deepgram/aura-2', { timestamp_type: 'WORD' })).toBe(false);\n });\n\n it('returns false for an empty options payload', () => {\n expect(hasAlignedTranscript('cartesia/sonic', {})).toBe(false);\n expect(hasAlignedTranscript('inworld/inworld-tts-1', undefined)).toBe(false);\n expect(hasAlignedTranscript(undefined, { add_timestamps: true })).toBe(false);\n });\n\n it('detects Cartesia add_timestamps opt-in', () => {\n expect(hasAlignedTranscript('cartesia/sonic', { add_timestamps: true })).toBe(true);\n expect(hasAlignedTranscript('cartesia/sonic-3', { add_timestamps: false })).toBe(false);\n });\n\n it('detects Inworld WORD/CHARACTER timestamp types', () => {\n expect(hasAlignedTranscript('inworld/inworld-tts-1', { timestamp_type: 'WORD' })).toBe(true);\n expect(hasAlignedTranscript('inworld/inworld-tts-1', { timestamp_type: 'CHARACTER' })).toBe(\n true,\n );\n expect(\n hasAlignedTranscript('inworld/inworld-tts-1', {\n timestamp_type: 'TIMESTAMP_TYPE_UNSPECIFIED',\n }),\n ).toBe(false);\n });\n});\n\ndescribe('TTS alignedTranscript capability', () => {\n it('defaults to alignedTranscript=false when no opt-in is provided', () => {\n const tts = makeTts();\n expect(tts.capabilities.alignedTranscript).toBe(false);\n });\n\n it('reports alignedTranscript=true when Cartesia add_timestamps is set', () => {\n const tts = makeTts({\n model: 'cartesia/sonic',\n modelOptions: { add_timestamps: true },\n });\n expect(tts.capabilities.alignedTranscript).toBe(true);\n });\n\n it('reports alignedTranscript=true when Inworld timestamp_type is WORD', () => {\n const tts = makeTts({\n model: 'inworld/inworld-tts-1',\n modelOptions: { timestamp_type: 'WORD' },\n });\n expect(tts.capabilities.alignedTranscript).toBe(true);\n });\n\n it('recomputes alignedTranscript when updateOptions changes modelOptions', () => {\n const tts = makeTts({ model: 'cartesia/sonic' });\n expect(tts.capabilities.alignedTranscript).toBe(false);\n\n tts.updateOptions({ modelOptions: { add_timestamps: true } });\n expect(tts.capabilities.alignedTranscript).toBe(true);\n\n tts.updateOptions({ modelOptions: { add_timestamps: false } });\n expect(tts.capabilities.alignedTranscript).toBe(false);\n });\n\n it('recomputes alignedTranscript when updateOptions changes the model', () => {\n const tts = makeTts({\n model: 'cartesia/sonic',\n modelOptions: { timestamp_type: 'WORD' },\n });\n expect(tts.capabilities.alignedTranscript).toBe(false);\n\n tts.updateOptions({ model: 'inworld/inworld-tts-1' });\n expect(tts.capabilities.alignedTranscript).toBe(true);\n });\n\n it('invalidates the connection pool when session-affecting options change', () => {\n const tts = makeTts({ model: 'cartesia/sonic' });\n const invalidateSpy = vi.spyOn(tts.pool, 'invalidate');\n\n tts.updateOptions({ modelOptions: { add_timestamps: true } });\n expect(invalidateSpy).toHaveBeenCalledTimes(1);\n\n tts.updateOptions({ model: 'deepgram/aura-2' });\n expect(invalidateSpy).toHaveBeenCalledTimes(2);\n\n tts.updateOptions({ voice: 'narrator' });\n expect(invalidateSpy).toHaveBeenCalledTimes(3);\n\n tts.updateOptions({ language: 'en' });\n expect(invalidateSpy).toHaveBeenCalledTimes(4);\n\n // Empty update should not churn the pool.\n tts.updateOptions({});\n expect(invalidateSpy).toHaveBeenCalledTimes(4);\n });\n});\n\ndescribeLiveKitInference('LiveKit Inference TTS integration', agents, async (harness) => {\n const models = [\n {\n model: 'cartesia/sonic-3',\n voice: '9626c31c-bec5-4cca-baa8-f8ba9e84c8bc',\n },\n { model: 'inworld/inworld-tts-2', voice: 'Ashley' },\n { model: 'rime/coda', voice: 'celeste' },\n ] as const;\n\n for (const options of models) {\n describe(options.model, async () => {\n await harness.tts(\n new TTS(options),\n new STT({\n model: 'deepgram/nova-3',\n modelOptions: { endpointing: 1000 },\n }),\n {\n streamingValidationStt: true,\n },\n );\n });\n 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