deploy: Dockerfile, Compose pro Rolle, LiteLLM, Prometheus/Alertmanager, Canary-Prober, n8n-Workflows

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 00:51:31 +02:00
parent 4cbe313c62
commit cb5a413169
28 changed files with 1731 additions and 9 deletions
@@ -0,0 +1,86 @@
+# Rollen "gpu-embed" und "gpu-small" (VMs mit Quadro P2000 / M4000): llama.cpp-Server.
+# Maxwell (sm_52) und Pascal (sm_61) brauchen CUDA 12.x – daher eigener Build mit festen Architekturen.
+# Profile: embed (Embedding + Rerank), chat (Verifier/Signatur), z. B. `docker compose --profile embed up -d`
+name: knaster-gpu-llamacpp
+
+x-llamacpp: &llamacpp
+  build:
+    context: https://github.com/ggml-org/llama.cpp.git#${LLAMACPP_REF:-b6000}
+    dockerfile: .devops/cuda.Dockerfile
+    target: server
+    args:
+      CUDA_VERSION: ${CUDA_VERSION:-12.4.0}
+      CUDA_DOCKER_ARCH: ${CUDA_DOCKER_ARCH:-52;61}
+  image: knaster/llamacpp-server:${LLAMACPP_REF:-b6000}-cu12
+  restart: unless-stopped
+  labels: {autoheal: "true"}
+  volumes:
+    - ${MODELS_DIR:-/srv/models}:/models:ro
+  deploy:
+    resources:
+      reservations:
+        devices: [{driver: nvidia, count: 1, capabilities: [gpu]}]
+
+services:
+  llamacpp-embed:
+    <<: *llamacpp
+    container_name: llamacpp-embed
+    profiles: ["embed"]
+    command: ["-m", "/models/${EMBED_GGUF:-Qwen3-Embedding-0.6B-Q8_0.gguf}", "--embedding",
+              "--pooling", "${EMBED_POOLING:-last}", "-c", "8192", "-ub", "8192", "-ngl", "99",
+              "--alias", "embed-default", "--metrics", "--host", "0.0.0.0", "--port", "8081"]
+    ports: ["8081:8081"]
+    healthcheck: &hc
+      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8081/health"]
+      interval: 30s
+      timeout: 5s
+      retries: 3
+      start_period: 60s
+
+  llamacpp-rerank:
+    <<: *llamacpp
+    container_name: llamacpp-rerank
+    profiles: ["embed"]
+    command: ["-m", "/models/${RERANK_GGUF:-bge-reranker-v2-m3-Q8_0.gguf}", "--reranking", "-c", "8192",
+              "-ub", "8192", "-ngl", "99", "--alias", "rerank-default", "--metrics", "--host", "0.0.0.0",
+              "--port", "8082"]
+    ports: ["8082:8082"]
+    healthcheck:
+      <<: *hc
+      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8082/health"]
+
+  llamacpp-chat:
+    <<: *llamacpp
+    container_name: llamacpp-chat
+    profiles: ["chat"]
+    command: ["-m", "/models/${CHAT_GGUF:-Qwen3-4B-Q4_K_M.gguf}", "-c", "8192", "-ngl", "99",
+              "--alias", "verifier-small", "--metrics", "--host", "0.0.0.0", "--port", "8080"]
+    ports: ["8080:8080"]
+    healthcheck:
+      <<: *hc
+      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/health"]
+
+  gpu-exporter:
+    image: utkuozdemir/nvidia_gpu_exporter:1.2.1
+    restart: unless-stopped
+    ports: ["9835:9835"]
+    deploy:
+      resources:
+        reservations:
+          devices: [{driver: nvidia, count: all, capabilities: [gpu, utility]}]
+
+  node-exporter:
+    image: prom/node-exporter:v1.8.1
+    restart: unless-stopped
+    command: ["--path.rootfs=/host", "--collector.textfile.directory=/textfile"]
+    pid: host
+    volumes:
+      - /:/host:ro,rslave
+      - /var/lib/node_exporter/textfile:/textfile:ro
+    ports: ["9100:9100"]
+
+  autoheal:
+    image: willfarrell/autoheal:1.2.0
+    restart: unless-stopped
+    environment: {AUTOHEAL_CONTAINER_LABEL: autoheal}
+    volumes: ["/var/run/docker.sock:/var/run/docker.sock"]