6a6112a15f
Rename CLAUDE.md -> AGENTS.md (cross-vendor standard) with a relative CLAUDE.md symlink so Claude Code still loads it. Move each .claude/rules file into docs/guides/ (paths: frontmatter preserved) and replace the rules file with a relative symlink into the guide. Repoint the AGENTS.md index paragraph at docs/guides/ so non-Claude agents find the guides.
2.1 KiB
2.1 KiB
paths
| paths | ||||||
|---|---|---|---|---|---|---|
|
Audio / speech stack (Parakeet STT + Sortformer diarizer + Kokoro TTS on Spark 2)
Changing the parakeet-asr container
image/parakeet_patches/(main.py,diarizer.py) is an overlay copied into theparakeet-asrcontainer by the "Reapply speech-model patches" dashboard action (image/app/speech_models.py). This is the only durable way to change that container —docker exec/ pip changes inside it die ondocker rm.- Never install
cuda-pythonin parakeet-asr to "fix" the startup warning about CUDA graphs being disabled. The warning is harmless; enabling the graph path crashes real decode with illegal memory access on this GPU/CUDA-13 stack (GB10/sm_121). The slow path served 11k+ requests with zero failures — leave it alone. - Pin/constrain torch versions when pip-installing anything into NGC-based containers on the Sparks (ABI breaks otherwise); expect ARM64 wheel gaps and source builds (
--no-build-isolationfor torchaudio). Applies tospark_embedtoo.
Testing audio endpoints
- Test with real speech (e.g.
say -o /tmp/t.wav --data-format=LEI16@16000 "<a couple of sentences>"), not tones/silence — zero-token audio skips the decoder paths where crashes live. - Send audio requests to Spark 2 sequentially in tests/scripts. Parallel audio requests can race (cuFFT → 503), and the single GPU serializes them anyway.
- End-to-end suite (hits the LIVE cluster):
./scripts/test-audio-with-speakers.sh <audio-file> # from repo root
SPARK_CONTROL defaults to http://127.0.0.1:9999 (a running local dev server); point it at the installed package URL otherwise.
API quirk
Spark Control's /v1/models lists audio models (STT model + Kokoro voices) by design — not the loaded LLM. Discover the LLM via /api/status (vllm.current_model).
Diarizer caps at 4 speakers (Sortformer diar_sortformer_4spk-v1).