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https://github.com/Alkatrazz24/Funk-lab.git
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6947b394f1
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
47 lines
1.2 KiB
YAML
47 lines
1.2 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: stt-server
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namespace: ai
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: stt-server
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template:
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metadata:
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labels:
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app: stt-server
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spec:
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containers:
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- name: stt-server
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image: ghcr.io/alkatrazz24/funk-stt-server:latest
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ports:
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- containerPort: 8000
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env:
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# LiteLLM (s01) joint via le Service Endpoints litellm-ext
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- name: STT_LITELLM_URL
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value: "http://litellm-ext:4000/v1/chat/completions"
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- name: STT_LITELLM_KEY
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value: "lm-studio"
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- name: STT_MODEL
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value: "hermes-default"
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readinessProbe:
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httpGet:
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path: /healthz
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port: 8000
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initialDelaySeconds: 5
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periodSeconds: 10
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livenessProbe:
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httpGet:
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path: /healthz
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port: 8000
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initialDelaySeconds: 10
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periodSeconds: 20
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resources:
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requests:
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cpu: 50m
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memory: 128Mi
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limits:
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cpu: 500m
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memory: 256Mi
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