{"version":3,"sources":["../src/stt.test.ts"],"sourcesContent":["// SPDX-FileCopyrightText: 2024 LiveKit, Inc.\n//\n// SPDX-License-Identifier: Apache-2.0\nimport { VAD as BaseVAD, VADEventType, type VADStream } from '@livekit/agents';\nimport { VAD } from '@livekit/agents-plugin-silero';\nimport { stt } from '@livekit/agents-plugins-test';\nimport { AudioFrame } from '@livekit/rtc-node';\nimport type OpenAI from 'openai';\nimport { describe, expect, it, vi } from 'vitest';\nimport { WebSocketServer } from 'ws';\nimport type { SpeechStream } from './stt.js';\nimport {\n STT,\n _normalizeRealtimeTurnDetection,\n buildRealtimeSttUrl,\n buildRealtimeTranscriptionConfig,\n} from './stt.js';\n\nconst hasOpenAIApiKey = Boolean(process.env.OPENAI_API_KEY);\n\nclass FakeVAD extends BaseVAD {\n label = 'fake-vad';\n\n stream(): VADStream {\n return {} as VADStream;\n }\n}\n\nclass EndOnFrameVAD extends BaseVAD {\n label = 'end-on-frame-vad';\n\n stream(): VADStream {\n let resolveNext: ((result: IteratorResult<{ type: VADEventType }>) => void) | undefined;\n const stream = {\n [Symbol.asyncIterator]() {\n return stream;\n },\n next() {\n return new Promise>((resolve) => {\n resolveNext = resolve;\n });\n },\n pushFrame() {\n resolveNext?.({ done: false, value: { type: VADEventType.END_OF_SPEECH } });\n resolveNext = undefined;\n },\n endInput() {},\n close() {},\n };\n return stream as unknown as VADStream;\n }\n}\n\nasync function waitFor(ready: () => boolean): Promise {\n for (let attempt = 0; attempt < 200; attempt++) {\n if (ready()) return;\n await new Promise((resolve) => setTimeout(resolve, 5));\n }\n throw new Error('timed out waiting for condition');\n}\n\nfunction transcriptionOf(message: Record): Record | undefined {\n const session = message.session as Record | undefined;\n const audio = session?.audio as Record | undefined;\n const input = audio?.input as Record | undefined;\n return input?.transcription as Record | undefined;\n}\n\ndescribe('OpenAI STT options', () => {\n it('defaults to realtime whisper streaming', () => {\n const openai = new STT({ apiKey: 'test-key', vad: new FakeVAD({ updateInterval: 1 }) });\n\n expect(openai.model).toBe('gpt-realtime-whisper');\n expect(openai.capabilities.streaming).toBe(true);\n expect(openai.capabilities.interimResults).toBe(true);\n expect(openai.capabilities.alignedTranscript).toBe(false);\n });\n\n it('supports explicitly opting into batch STT', () => {\n const openai = new STT({ apiKey: 'test-key', useRealtime: false });\n\n expect(openai.model).toBe('whisper-1');\n expect(openai.capabilities.streaming).toBe(false);\n expect(() => openai.stream()).toThrow(/useRealtime/i);\n });\n\n it('keeps Groq and OVHcloud helper instances in batch mode', () => {\n const groq = STT.withGroq({ apiKey: 'test-key' });\n const ovhcloud = STT.withOVHcloud({ apiKey: 'test-key' });\n\n expect(groq.capabilities.streaming).toBe(false);\n expect(() => groq.stream()).toThrow(/useRealtime/i);\n expect(ovhcloud.capabilities.streaming).toBe(false);\n expect(() => ovhcloud.stream()).toThrow(/useRealtime/i);\n });\n\n it('preserves the current model when updateOptions enables realtime without a model', () => {\n const vad = new FakeVAD({ updateInterval: 1 });\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-4o-realtime-preview',\n useRealtime: false,\n vad,\n });\n\n openai.updateOptions({ useRealtime: true, vad });\n\n expect(openai.model).toBe('gpt-4o-realtime-preview');\n });\n\n it('removes closed speech streams before propagating option updates', () => {\n const vad = new FakeVAD({ updateInterval: 1 });\n const openai = new STT({ apiKey: 'test-key', vad });\n const stream = openai.stream() as SpeechStream;\n const updateOptions = vi.spyOn(stream, '_updateOptions');\n\n stream.close();\n openai.updateOptions({ vad });\n\n expect(updateOptions).not.toHaveBeenCalled();\n });\n\n it('sends keywords and plural languages to context-hint models', () => {\n expect(\n buildRealtimeTranscriptionConfig({\n model: 'gpt-live-transcribe',\n prompt: 'A customer support call.',\n keywords: ['premium plan', 'AC-42'],\n languages: ['en', 'fr'],\n }),\n ).toEqual({\n model: 'gpt-live-transcribe',\n prompt: 'A customer support call.',\n keywords: ['premium plan', 'AC-42'],\n languages: ['en', 'fr'],\n });\n });\n\n it('omits a prompt that was not set', () => {\n expect(\n buildRealtimeTranscriptionConfig({ model: 'gpt-transcribe', languages: ['en'] }),\n ).not.toHaveProperty('prompt');\n });\n\n it('normalizes context-hint languages to unique ISO-639 base codes', () => {\n const config = buildRealtimeTranscriptionConfig({\n model: 'gpt-transcribe',\n languages: ['en-US', 'yue', 'zh-CN', 'zh-TW'],\n });\n\n expect(config.languages).toEqual(['en', 'yue', 'zh']);\n });\n\n it('keeps singular language on earlier models', () => {\n const config = buildRealtimeTranscriptionConfig({\n model: 'gpt-4o-mini-transcribe',\n languages: ['en-US'],\n keywords: [],\n });\n\n expect(config.language).toBe('en');\n expect(config).not.toHaveProperty('languages');\n expect(config).not.toHaveProperty('keywords');\n });\n\n it('omits language when detection is enabled', () => {\n const config = buildRealtimeTranscriptionConfig({\n model: 'gpt-4o-mini-transcribe',\n languages: [],\n });\n\n expect(config).not.toHaveProperty('language');\n });\n\n it('rejects unsupported plural languages and keywords', () => {\n expect(\n () =>\n new STT({\n apiKey: 'test-key',\n model: 'gpt-4o-transcribe',\n language: ['en', 'fr'],\n useRealtime: false,\n }),\n ).toThrow(/accepts a single language/);\n expect(\n () =>\n new STT({\n apiKey: 'test-key',\n model: 'gpt-4o-transcribe',\n keywords: ['AC-42'],\n useRealtime: false,\n }),\n ).toThrow(/keywords are only supported/);\n });\n\n it('rejects a model switch before applying incompatible hints', () => {\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-live-transcribe',\n keywords: ['AC-42'],\n language: ['en', 'fr'],\n vad: null,\n });\n\n expect(() => openai.updateOptions({ model: 'gpt-4o-transcribe' })).toThrow(\n /keywords are only supported/,\n );\n expect(openai.model).toBe('gpt-live-transcribe');\n expect(openai.capabilities.keyterms).toBe(true);\n });\n\n it.each([\n ['gpt-transcribe', true],\n ['gpt-live-transcribe', true],\n ['gpt-4o-transcribe', false],\n ['whisper-1', false],\n ])('sets keyterm capability for %s', (model, supported) => {\n const openai = new STT({ apiKey: 'test-key', model, useRealtime: false });\n expect(openai.capabilities.keyterms).toBe(supported);\n });\n\n it.each([\n 'gpt-live-transcribe',\n 'gpt-realtime-whisper',\n 'gpt-4o-transcribe',\n 'gpt-4o-mini-transcribe',\n 'whisper-1',\n ])('preserves the target realtime default for %s', (model) => {\n const openai = new STT({ apiKey: 'test-key', model, vad: null });\n expect(openai.capabilities.streaming).toBe(true);\n });\n\n it('requires realtime transport when switching to a realtime-only model', () => {\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-transcribe',\n useRealtime: false,\n });\n\n expect(() => openai.updateOptions({ model: 'gpt-live-transcribe' })).toThrow(\n /served only over the realtime API/,\n );\n });\n\n it('loads the bundled VAD for realtime-only models', () => {\n const openai = new STT({ apiKey: 'test-key', model: 'gpt-live-transcribe' });\n expect(() => openai.stream().close()).not.toThrow();\n });\n\n it('accepts realtime transport and VAD supplied with a realtime-only model switch', () => {\n const vad = new FakeVAD({ updateInterval: 1 });\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-4o-mini-transcribe',\n useRealtime: false,\n });\n\n expect(() =>\n openai.updateOptions({ model: 'gpt-live-transcribe', useRealtime: true, vad }),\n ).not.toThrow();\n expect(openai.capabilities.streaming).toBe(true);\n });\n\n it('warns and drops temperature for realtime transcription', () => {\n const warn = vi.spyOn(console, 'warn').mockImplementation(() => {});\n\n new STT({\n apiKey: 'test-key',\n model: 'gpt-4o-mini-transcribe',\n temperature: 0.2,\n vad: null,\n });\n\n expect(warn).toHaveBeenCalledWith(expect.stringContaining('temperature is not supported'));\n warn.mockRestore();\n });\n\n it('fills in server_vad when turn detection omits its discriminator', () => {\n expect(\n _normalizeRealtimeTurnDetection('gpt-4o-mini-transcribe', {\n silence_duration_ms: 800,\n }),\n ).toEqual({ type: 'server_vad', silence_duration_ms: 800 });\n });\n\n it('rejects turn detection for gpt-live-transcribe', () => {\n expect(\n _normalizeRealtimeTurnDetection('gpt-live-transcribe', { type: 'server_vad' }),\n ).toBeNull();\n });\n\n it('rejects turn detection for versioned realtime-only model names', () => {\n expect(\n _normalizeRealtimeTurnDetection('gpt-live-transcribe-2026-01-01', {\n type: 'server_vad',\n }),\n ).toBeNull();\n });\n\n it('merges session keyterms behind user keywords', () => {\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-live-transcribe',\n keywords: ['AC-42', 'billing'],\n vad: null,\n });\n const stream = openai.stream() as SpeechStream;\n const updateOptions = vi.spyOn(stream, '_updateOptions');\n\n openai._updateSessionKeyterms(['billing', 'Acme Corp']);\n\n expect(updateOptions).toHaveBeenCalledWith(\n expect.objectContaining({ keywords: ['AC-42', 'billing', 'Acme Corp'] }),\n );\n stream.close();\n });\n\n it('falls back to the last specified language when detection is disabled', () => {\n const openai = new STT({\n apiKey: 'test-key',\n model: 'gpt-live-transcribe',\n language: 'en',\n vad: null,\n });\n openai.updateOptions({ language: 'de' });\n openai.updateOptions({ detectLanguage: true });\n const warn = vi.spyOn(console, 'warn').mockImplementation(() => {});\n\n openai.updateOptions({ detectLanguage: false });\n const stream = openai.stream() as SpeechStream;\n\n expect(stream.languages).toEqual(['de']);\n expect(warn).toHaveBeenCalledWith(expect.stringContaining('falling back to de'));\n warn.mockRestore();\n stream.close();\n });\n});\n\ndescribe('OpenAI STT file transcription context', () => {\n it('sends plural hints and reports the detected language', async () => {\n const create = vi\n .fn()\n .mockResolvedValue({ text: 'bonjour, hello', languages: [{ code: 'fr' }] });\n const client = { audio: { transcriptions: { create } } } as unknown as OpenAI;\n const openai = new STT({\n apiKey: 'test-key',\n client,\n model: 'gpt-transcribe',\n language: ['en', 'fr'],\n keywords: ['premium plan', 'AC-42'],\n useRealtime: false,\n });\n\n const event = await openai.recognize([new AudioFrame(new Int16Array(2400), 24000, 1, 2400)]);\n\n expect(create).toHaveBeenCalledWith(\n expect.objectContaining({\n model: 'gpt-transcribe',\n languages: ['en', 'fr'],\n keywords: ['premium plan', 'AC-42'],\n }),\n expect.any(Object),\n );\n expect(event.alternatives?.[0].language).toBe('fr');\n });\n});\n\ndescribe('OpenAI realtime STT context', () => {\n it('updates hints in place and reconnects for a model change', async () => {\n const server = new WebSocketServer({ port: 0 });\n await new Promise((resolve) => server.once('listening', resolve));\n const address = server.address();\n if (typeof address === 'string' || address === null) throw new Error('missing server address');\n const messages: Record[] = [];\n let connections = 0;\n server.on('connection', (socket) => {\n connections += 1;\n socket.on('message', (data) => messages.push(JSON.parse(data.toString())));\n });\n const openai = new STT({\n apiKey: 'test-key',\n baseURL: `http://127.0.0.1:${address.port}/v1`,\n model: 'gpt-live-transcribe',\n vad: null,\n });\n const stream = openai.stream();\n\n await waitFor(() => messages.length === 1);\n openai.updateOptions({ keywords: ['Acme Corp'], prompt: 'a support call' });\n await waitFor(() => messages.length === 2);\n expect(messages[1]).toMatchObject({\n session: {\n audio: {\n input: {\n transcription: { keywords: ['Acme Corp'], prompt: 'a support call' },\n },\n },\n },\n });\n expect(connections).toBe(1);\n\n openai.updateOptions({ keywords: [], prompt: '' });\n await waitFor(() => messages.length === 3);\n expect(messages[2]).toMatchObject({\n session: { audio: { input: { transcription: { keywords: [], prompt: '' } } } },\n });\n\n openai.updateOptions({ detectLanguage: true });\n await waitFor(() => connections === 2 && messages.length === 4);\n expect(\n (\n ((messages[3]!.session as Record).audio as Record)\n .input as Record\n ).transcription,\n ).not.toHaveProperty('languages');\n\n openai.updateOptions({ model: 'gpt-4o-mini-transcribe', keywords: [], language: 'fr' });\n const samples = 24000 / 20;\n stream.pushFrame(new AudioFrame(new Int16Array(samples), 24000, 1, samples));\n await waitFor(\n () =>\n connections === 3 &&\n messages.some((message) => message.type === 'input_audio_buffer.append'),\n );\n const modelUpdate = messages.find(\n (message) => transcriptionOf(message)?.model === 'gpt-4o-mini-transcribe',\n );\n expect(modelUpdate).toMatchObject({\n session: {\n audio: {\n input: {\n transcription: { model: 'gpt-4o-mini-transcribe', language: 'fr' },\n turn_detection: { type: 'server_vad' },\n },\n },\n },\n });\n\n stream.close();\n await new Promise((resolve) => server.close(() => resolve()));\n });\n\n it('commits from client VAD when server turn detection is disabled', async () => {\n const server = new WebSocketServer({ port: 0 });\n await new Promise((resolve) => server.once('listening', resolve));\n const address = server.address();\n if (typeof address === 'string' || address === null) throw new Error('missing server address');\n const messages: Record[] = [];\n server.on('connection', (socket) => {\n socket.on('message', (data) => messages.push(JSON.parse(data.toString())));\n });\n const openai = new STT({\n apiKey: 'test-key',\n baseURL: `http://127.0.0.1:${address.port}/v1`,\n model: 'gpt-4o-transcribe',\n turnDetection: null,\n vad: new EndOnFrameVAD({ updateInterval: 1 }),\n });\n const stream = openai.stream();\n await waitFor(() => messages.length === 1);\n\n const samples = 24000 / 20;\n stream.pushFrame(new AudioFrame(new Int16Array(samples), 24000, 1, samples));\n await waitFor(() => messages.some((message) => message.type === 'input_audio_buffer.commit'));\n\n stream.close();\n await new Promise((resolve) => server.close(() => resolve()));\n });\n\n it('keeps each stream language independent', async () => {\n const server = new WebSocketServer({ port: 0 });\n await new Promise((resolve) => server.once('listening', resolve));\n const address = server.address();\n if (typeof address === 'string' || address === null) throw new Error('missing server address');\n const messages: Record[] = [];\n server.on('connection', (socket) => {\n socket.on('message', (data) => messages.push(JSON.parse(data.toString())));\n });\n const openai = new STT({\n apiKey: 'test-key',\n baseURL: `http://127.0.0.1:${address.port}/v1`,\n model: 'gpt-live-transcribe',\n language: 'en',\n vad: null,\n });\n const english = openai.stream() as SpeechStream;\n const french = openai.stream({ language: 'fr' }) as SpeechStream;\n await waitFor(() => messages.length === 2);\n\n expect(english.languages).toEqual(['en']);\n expect(french.languages).toEqual(['fr']);\n french.updateOptions({ language: 'de' });\n await waitFor(() => messages.length === 3);\n expect(english.languages).toEqual(['en']);\n expect(french.languages).toEqual(['de']);\n\n english.close();\n french.close();\n await new Promise((resolve) => server.close(() => resolve()));\n });\n\n it('reports the language detected by the realtime model', async () => {\n const server = new WebSocketServer({ port: 0 });\n await new Promise((resolve) => server.once('listening', resolve));\n const address = server.address();\n if (typeof address === 'string' || address === null) throw new Error('missing server address');\n server.on('connection', (socket) => {\n socket.once('message', () => {\n socket.send(\n JSON.stringify({\n type: 'conversation.item.input_audio_transcription.completed',\n item_id: 'item_1',\n transcript: 'bonjour, hello',\n languages: [{ code: 'fr' }, { code: 'en' }],\n }),\n );\n });\n });\n const openai = new STT({\n apiKey: 'test-key',\n baseURL: `http://127.0.0.1:${address.port}/v1`,\n model: 'gpt-live-transcribe',\n language: ['en', 'fr'],\n vad: null,\n });\n const stream = openai.stream();\n\n const event = await stream.next();\n\n expect(event.value.alternatives?.[0]).toMatchObject({\n text: 'bonjour, hello',\n language: 'fr',\n });\n stream.close();\n await new Promise((resolve) => server.close(() => resolve()));\n });\n});\n\ndescribe('buildRealtimeSttUrl', () => {\n it('points at OpenAI realtime with intent but omits model on the native endpoint', () => {\n // OpenAI's native /realtime endpoint rejects `?model=` with\n // invalid_request_error.invalid_model when intent=transcription, so the\n // model is conveyed via the subsequent session.update instead.\n const url = new URL(buildRealtimeSttUrl(undefined, 'gpt-realtime-whisper'));\n\n expect(url.protocol).toBe('wss:');\n expect(url.host).toBe('api.openai.com');\n expect(url.pathname).toBe('/v1/realtime');\n expect(url.searchParams.get('intent')).toBe('transcription');\n expect(url.searchParams.get('model')).toBe(null);\n });\n\n it('omits the model when an explicit baseURL still points at api.openai.com', () => {\n const url = new URL(buildRealtimeSttUrl('https://api.openai.com/v1', 'gpt-4o-mini-transcribe'));\n\n expect(url.host).toBe('api.openai.com');\n expect(url.pathname).toBe('/v1/realtime');\n expect(url.searchParams.get('intent')).toBe('transcription');\n expect(url.searchParams.get('model')).toBe(null);\n });\n\n it('upgrades https baseURL to wss and appends /realtime when path is /v1', () => {\n const url = new URL(\n buildRealtimeSttUrl('https://gateway.example.com/v1', 'gpt-4o-mini-transcribe'),\n );\n\n expect(url.protocol).toBe('wss:');\n expect(url.host).toBe('gateway.example.com');\n expect(url.pathname).toBe('/v1/realtime');\n expect(url.searchParams.get('model')).toBe('gpt-4o-mini-transcribe');\n });\n\n it('preserves an existing /realtime path without duplicating it', () => {\n const url = new URL(\n buildRealtimeSttUrl('wss://gateway.example.com/v1/realtime', 'gpt-realtime-whisper'),\n );\n\n expect(url.pathname).toBe('/v1/realtime');\n expect(url.searchParams.get('model')).toBe('gpt-realtime-whisper');\n });\n\n it('appends /realtime to a non-/v1 path', () => {\n const url = new URL(\n buildRealtimeSttUrl('https://gateway.example.com/proxy/openai', 'gpt-realtime-whisper'),\n );\n\n expect(url.pathname).toBe('/proxy/openai/realtime');\n expect(url.searchParams.get('intent')).toBe('transcription');\n expect(url.searchParams.get('model')).toBe('gpt-realtime-whisper');\n });\n\n it('downgrades http baseURL to ws (not wss)', () => {\n const url = new URL(\n buildRealtimeSttUrl('http://gateway.example.com/v1', 'gpt-realtime-whisper'),\n );\n\n expect(url.protocol).toBe('ws:');\n expect(url.host).toBe('gateway.example.com');\n expect(url.pathname).toBe('/v1/realtime');\n expect(url.searchParams.get('intent')).toBe('transcription');\n expect(url.searchParams.get('model')).toBe('gpt-realtime-whisper');\n });\n\n it('downgrades http baseURL with a trailing slash to ws', () => {\n const url = new URL(\n buildRealtimeSttUrl('http://gateway.example.com/v1/', 'gpt-realtime-whisper'),\n );\n\n expect(url.protocol).toBe('ws:');\n expect(url.pathname).toBe('/v1/realtime');\n });\n});\n\nif (hasOpenAIApiKey) {\n describe('OpenAI STT integration', async () => {\n const vad = await VAD.load();\n await stt(new STT({ useRealtime: false }), vad, { streaming: false });\n });\n\n describe('OpenAI STT realtime integration', async () => {\n const vad = await VAD.load();\n await stt(new STT({ vad }), vad, {\n nonStreaming: false,\n });\n });\n} else {\n describe('OpenAI', () => {\n it.skip('requires OPENAI_API_KEY', () => {});\n 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