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fix(api): make /v1 audio routes work with the openai and Agents SDKs - #2290
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- Alias every OpenAI TTS model id (gpt-4o-mini-tts, dated snapshots) and
current voice name to the active engine; real engine ids still win.
- Map OpenAI `instructions` to the engine instruct (explicit instruct wins;
OmniVoice keeps only its voice-design tags so prose can't fail a request).
- pcm is 24 kHz int16 LE mono; mp3/opus/aac are encoded by ffmpeg with a
matching Content-Type, or a clear 400 before any GPU work; add
stream_format audio/sse and the {"id": ...} voice object.
- Add GET /v1/models(/{id}) and POST /v1/audio/translations.
- Transcriptions forward language/prompt/temperature to backends whose
transcribe() declares them (Whisper family, isolated sidecar, remote
OpenAI-compatible ASR), report the detected language, and return OpenAI
segments plus words for timestamp_granularities[]=word.
- /v1 errors use OpenAI's {"error": {...}} shape (detail kept), 400 for
validation failures.
- Electron: OpenAI Agents integration page shows a copyable VoicePipeline
snippet for the live backend.
- Contract test drives every route through the real openai SDK.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Repository: debpalash/VoiceStudio/.coderabbit.yaml Review profile: CHILL Plan: Advanced Run ID: 📒 Files selected for processing (6)
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Included review availability: Your plan provides up to 10 included reviews per hour; 1 remains after this review. 📝 WalkthroughWalkthroughThe PR expands OpenAI-compatible speech, transcription, translation, model, and error behavior. It forwards Whisper request options, adds an OpenAI Agents SDK integration setup, and updates related tests, documentation, changelog entries, and localized hints. ChangesOpenAI compatibility and Agents integration
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Change: Bug fix Suggested reviewers: Merge Risk: ⚪ Minimal · up to The reviewed changes are ready to merge; default MP3 has a bundled ffmpeg path, and requests fail clearly before synthesis if no encoder is available. 🚥 Pre-merge checks | ✅ 8 | ❌ 1❌ Failed checks (1 warning)
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Full details: Docstring CoverageExplanation Docstring coverage is 26.09% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 115 functions across 9 files. (2 skipped: 2 unsupported.)
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The PR appears safe to merge with no outstanding findings. SummaryUpdates the OpenAI-compatible audio API and Electron integration guidance for official OpenAI SDK compatibility.
Reviews (4) · Last reviewed commit: "fix(api): refuse translation on transcri..." |
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# Conflicts: # CHANGELOG.md
Review follow-ups (Greptile, #2290): - /v1/models lists only the active ASR engine for STT; a transcription or translation naming another VoiceStudio ASR engine id gets a 400 model_not_active instead of being silently served by the active one. - The OpenAI Agents snippet configures the agent's LLM explicitly from AGENT_LLM_BASE_URL / AGENT_LLM_MODEL (a local OpenAI-compatible server) and fails fast when unset, so it never falls back to a hosted model. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Actionable comments posted: 1
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
In `@backend/services/asr_backend.py`:
- Around line 1543-1549: Update transcribe and its request-handling path to
detect translation capability from the loaded model associated with each
backend, rather than relying only on the declared task option. Raise
_TaskUnsupported before inference for translation requests on turbo Whisper
checkpoints, while preserving translation for supported models, and add a
regression test using a turbo model name.
After applying the fix, consider running `coderabbit review --agent` for local
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CHANGELOG.mdbackend/api/routers/openai_compat.pybackend/engines/_asr_sidecar/main.pybackend/services/asr_backend.pybackend/services/subprocess_asr.pydocs/agentic-voice.mddocs/api-auth.mddocs/engines/openai-compatible-asr.mddocs/integration-directory.mdelectron/src/renderer/src/features/integrations/integration-detail-page.test.tsxelectron/src/renderer/src/features/integrations/integration-detail-page.tsxelectron/src/renderer/src/features/integrations/integration-setup.test.tselectron/src/renderer/src/features/integrations/openai-agents-setup.tselectron/src/renderer/src/i18n/locales/ar.jsonelectron/src/renderer/src/i18n/locales/de.jsonelectron/src/renderer/src/i18n/locales/en.jsonelectron/src/renderer/src/i18n/locales/es.jsonelectron/src/renderer/src/i18n/locales/fr.jsonelectron/src/renderer/src/i18n/locales/hi.jsonelectron/src/renderer/src/i18n/locales/id.jsonelectron/src/renderer/src/i18n/locales/it.jsonelectron/src/renderer/src/i18n/locales/ja.jsonelectron/src/renderer/src/i18n/locales/ko.jsonelectron/src/renderer/src/i18n/locales/nl.jsonelectron/src/renderer/src/i18n/locales/pl.jsonelectron/src/renderer/src/i18n/locales/pt.jsonelectron/src/renderer/src/i18n/locales/ru.jsonelectron/src/renderer/src/i18n/locales/sv.jsonelectron/src/renderer/src/i18n/locales/th.jsonelectron/src/renderer/src/i18n/locales/tr.jsonelectron/src/renderer/src/i18n/locales/uk.jsonelectron/src/renderer/src/i18n/locales/vi.jsonelectron/src/renderer/src/i18n/locales/zh-CN.jsonelectron/src/renderer/src/i18n/locales/zh-TW.jsontests/test_openai_sdk_contract.py
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Whisper large-v3-turbo (and Distil / .en checkpoints) ignore task=translate and return the source language, which /v1/audio/translations would have labelled English with a 200 (CodeRabbit, #2290). Backends now report supports_translation() from their loaded checkpoint and the route returns 400 unsupported_task before inference. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Move the OpenAI Agents setup into INTEGRATION_SETUPS as an openai-agents entry (speech API, transcription API, local language model) so it gets the Works with VoiceStudio badge like every other connector; drop its direct registration in the detail page. Keep all changelog and locale entries. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Summary
Makes VoiceStudio's OpenAI-compatible API (
/v1) work unchanged with the officialopenaiPython SDK and the OpenAI Agents SDK voice pipeline.gpt-4o-mini-tts(Agents SDK default) → 400 "Unknown model"gpt-*-tts) alias the active engine; registered engine ids are checked first. Voice aliases extended to the current OpenAI set (Agents SDK defaultash);{"id": ...}voice objects are unwrapped.instructionssilently droppedinstruct; explicitinstructwins. OmniVoice's instruct is a closed tag vocabulary that rejects prose, and the Agents SDK sends a prose default on every request, so OmniVoice-family engines get only valid design tags (prose is dropped rather than failing the request).pcmnot 24 kHz;aacreturned WAV; mp3/opus silently fell back to WAV (opus was Vorbis)pcmresampled to 24 kHz int16 LE mono. mp3/opus/aac encoded by ffmpeg (bundled via imageio-ffmpeg) with a matching Content-Type; no ffmpeg → OpenAI-shaped 400 before any GPU work.stream_formataudio(chunked) andsse(speech.audio.delta/speech.audio.done) supported.GET /v1/modelsGET /v1/modelsand/v1/models/{id}: OpenAI aliases plus installed TTS and STT engines.en,verbose_jsonnot OpenAI schemalanguage/prompt/temperaturego to backends whosetranscribe()declares them (faster-whisper, isolated faster-whisper sidecar, WhisperX, MLX Whisper, PyTorch Whisper, remote OpenAI-compatible ASR). Detected language is reported (unknownwhen no engine or request provides one). OpenAI segment schema pluswordsfortimestamp_granularities[]=word; word alignment runs only when requested.stream=truegets a clear 400 pointing at the WS route./v1/audio/translationstask="translate"); engines that can't translate get a clear 400.APIRoutesubclass renders{"error": {message,type,param,code}}on/v1routes only; validation is 400. The originaldetailis kept in the body for existing VoiceStudio clients; other routers are untouched.Electron: the OpenAI Agents integration page gets a copyable
VoicePipelinesnippet for the live backend. The key comes fromOMNIVOICE_API_KEYat run time, and tracing is disabled so nothing is uploaded. The change is one newopenai-agents-setup.tsplus one registration in the detail page, and the new locale key is added in all 21 locales.No new dependencies:
openaiis already a main dependency (3.3.1 inuv.lock).Tests
tests/test_openai_sdk_contract.pydrives every route through the realopenaiSDK and includes the exact Agents SDK request shape. On the old router, 20 of its 30 original tests fail.tests/fixtures/api_routes.txtis regenerated for the three new routes.tests/: 8458 passed. Two failures are unrelated to this PR.tests/probe/test_probe_engines.pyfails because whisperx is not installed on this box.tests/test_speech_platform.py::test_versioned_stream_has_session_envelopeis order-dependent and passes in isolation; it tests the capture WS route, which this PR doesn't touch.backend/tests/: 469 passed.test_n8n_workflow.pyandtest_agentic_provider_contract.pypass.locale:checkand lint pass.Notes for review
StreamedAudioInputneeds OpenAI's Realtime transcription WebSocket, which is not implemented (documented).AudioInputworks.docs/agentic-voice.md(route table, format table, error shape, new OpenAI Agents SDK section),docs/integration-directory.md,docs/api-auth.md(SDK example now requestswavexplicitly, because the default mp3 is now real mp3),docs/engines/openai-compatible-asr.md, and the CHANGELOGUnreleasedsection.🤖 Generated with Claude Code
VoiceStudio updates the
/v1audio API to match the OpenAI and OpenAI Agents SDK voice pipeline: it adds OpenAI-shaped model discovery (GET /v1/models), speech/transcription/translation routes withstream_format(audio/sse), correct codec handling (PCM 24 kHz plus ffmpeg-based MP3/Opus/AAC), forwarded Whisper parameters (language,prompt,temperature), optional word timestamps, and OpenAI-compatible errors. It also adds Electron UI/documentation and a copyable Agents SDKVoicePipelinesnippet that targets the VoiceStudio/v1endpoint and requires explicit agent LLM configuration. Human review should confirm that the runtime has ffmpeg available for compressedresponse_formatencoding and that the selected ASR backend/checkpoint supports translation, because turbo/distil/English-only Whisper models are rejected with a 400unsupported_taskbefore inference.