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refactor(stt): pivot client-serveur — STT-server in-cluster + client pipx

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Sépare STT en deux :
- stt/client/ : commande `stt` (pipx), voix locale (Whisper/Piper) + HUD ; envoie
  le texte au serveur via api.py (ServerClient → POST /v1/ask). URL serveur paramétrable,
  pas de cerveau local (suppression du routeur 3 modes).
- stt/server/ : STT-server FastAPI (conteneur), /healthz + /v1/ask → LiteLLM (Qwen3/Claude).

Déploiement cluster :
- k8s/apps/stt/ : Deployment, Service, IngressRoute (stt.lab.local), litellm-ext
  (Service + Endpoints → 192.168.10.1:4000 pour joindre LiteLLM hors cluster)
- k8s/apps-of-apps/apps/stt.yaml : Application ArgoCD (depuis main)
- .github/workflows/build-stt-server.yml : build/push image → ghcr.io/alkatrazz24/funk-stt-server

Inférence/chat seulement (outils Hermes 'agir sur Funk' = phase ultérieure, API :8080 à spécifier).
Vérifié : py_compile client+serveur, YAML manifests, ServerClient.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT
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Claude 2026-06-17 09:37:34 +00:00
parent 1ff3fd9bed
commit 6947b394f1
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FROM python:3.12-slim
WORKDIR /app
COPY pyproject.toml ./
COPY stt_server ./stt_server
RUN pip install --no-cache-dir .
EXPOSE 8000
# Service interne au cluster (exposé via Traefik). uvicorn multi-workers.
CMD ["uvicorn", "stt_server.app:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]