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zeekayandHanzo Dev
68ea213010
hanzo-build-linux-amd64, lux-build-linux-amd64, zoo-build-linux-amd64 and every other org-prefixed spelling all meant the same machine. Which org a job belongs to does not change which host can build it, so the org bought one pool name per org per arch and each could go stale on its own -- the evo host alone answered to fourteen names for one label. One vocabulary now: linux-amd64, linux-arm64, macos-arm64, win-amd64. The generic labels every plain workflow uses (ubuntu-latest, self-hosted) are untouched, so naive CI keeps working. Co-authored-by: Hanzo Dev <[email protected]>
speech
CPU speech for the Hanzo platform: STT (faster-whisper, CTranslate2 int8) and TTS (kokoro-onnx, 82M) behind one OpenAI-shaped surface.
Routes
POST /v1/audio/transcriptions— multipartfile+model(+language,response_format) →{"text": …}POST /v1/audio/speech—{model, input, voice, response_format}→ audio bytes (mp3 default, wav native)GET /v1/models,GET /healthz
Trust model
No auth of its own, in-cluster only. api.hanzo.ai fronts it through the ai
plane, which authenticates and meters every caller — a provider row pointing at
http://speech.hanzo.svc/v1 is the whole integration. Weights bake into the
image at build; the container boots without the network.
Run
uv sync && uv run uvicorn main:app --port 8000
Phase 2 is /v1/realtime: websocket full-duplex (silero-vad segmentation,
partial transcripts, kokoro frames, barge-in) plus camera-frame relay into the
multimodal models.