version: "3.9" services:  postgres:    image: postgres:16    container_name: vllm-studio-postgres    ports:      - "5432:5432"    environment:      - POSTGRES_USER=postgres      - POSTGRES_PASSWORD=postgres      - POSTGRES_DB=litellm    volumes:      - ./data/postgres:/var/lib/postgresql/data    restart: unless-stopped    healthcheck:      test: ["CMD-SHELL", "pg_isready -U postgres"]      interval: 10s      timeout: 5s      retries: 5   # LiteLLM - API gateway (handles routing, format translation, cost tracking)  litellm:    image: ghcr.io/berriai/litellm:main-latest    container_name: vllm-studio-litellm    ports:      - "4100:4000"    volumes:      - ./config/litellm.yaml:/app/config.yaml      - ./config/tool_call_handler.py:/app/tool_call_handler.py      - ./data:/app/data    environment:      - LITELLM_MASTER_KEY=${LITELLM_MASTER_KEY:-sk-master}      - DATABASE_URL=postgresql://postgres:postgres@vllm-studio-postgres:5432/litellm?connect_timeout=10&pool_pre_ping=true&pool_size=5&max_overflow=10      - INFERENCE_API_BASE=${INFERENCE_API_BASE:-http://host.docker.internal:8000/v1}      - INFERENCE_API_KEY=${INFERENCE_API_KEY:-sk-placeholder}      - PYTHONPATH=/app    extra_hosts:      - "host.docker.internal:host-gateway"    command: ["--config", "/app/config.yaml", "--port", "4000"]    restart: unless-stopped    depends_on:      postgres:        condition: service_started    healthcheck:      test: ["CMD-SHELL", "python -c \"import urllib.request, os; req = urllib.request.Request('http://localhost:4000/health'); req.add_header('Authorization', 'Bearer ' + os.environ.get('LITELLM_MASTER_KEY', 'sk-master')); urllib.request.urlopen(req)\""]      interval: 30s      timeout: 10s      retries: 3      start_period: 40s   # Redis - Caching and rate limiting for LiteLLM  redis:    image: redis:7-alpine    container_name: vllm-studio-redis    ports:      - "6379:6379"    volumes:      - ./data/redis:/data    command: redis-server --appendonly yes --save 60 1    restart: unless-stopped    healthcheck:      test: ["CMD", "redis-cli", "ping"]      interval: 10s      timeout: 5s      retries: 3   # Prometheus - Time-series metrics collection  prometheus:    image: prom/prometheus:latest    container_name: vllm-studio-prometheus    ports:      - "9090:9090"    volumes:      - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro      - ./data/prometheus:/prometheus    command:      - '--config.file=/etc/prometheus/prometheus.yml'      - '--storage.tsdb.path=/prometheus'      - '--storage.tsdb.retention.time=30d'      - '--web.enable-lifecycle'    restart: unless-stopped    extra_hosts:      - "host.docker.internal:host-gateway"   # Grafana - Dashboards and visualization  grafana:    image: grafana/grafana:latest    container_name: vllm-studio-grafana    ports:      - "3001:3000"    volumes:      - ./config/grafana/provisioning:/etc/grafana/provisioning:ro      - ./config/grafana/dashboards:/var/lib/grafana/dashboards:ro      - ./data/grafana:/var/lib/grafana    environment:      - GF_SECURITY_ADMIN_USER=admin      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD:-admin}      - GF_USERS_ALLOW_SIGN_UP=false      - GF_SERVER_ROOT_URL=http://localhost:3001      - GF_INSTALL_PLUGINS=redis-datasource    restart: unless-stopped    depends_on:      - prometheus      - redis   # Frontend - Next.js web UI  frontend:    build:      context: ./frontend      args:        NEXT_PUBLIC_API_URL: ""    container_name: vllm-studio-frontend    network_mode: host    environment:      - VLLM_STUDIO_BACKEND_URL=${VLLM_STUDIO_BACKEND_URL:-https://<your-api-domain>}      - VLLM_STUDIO_API_KEY=${VLLM_STUDIO_API_KEY:-}      - BACKEND_URL=${VLLM_STUDIO_BACKEND_URL:-https://<your-api-domain>}      - API_KEY=${VLLM_STUDIO_API_KEY:-}      - LITELLM_URL=${NEXT_PUBLIC_LITELLM_URL:-http://localhost:4100}      - NEXT_PUBLIC_LITELLM_URL=${NEXT_PUBLIC_LITELLM_URL:-http://localhost:4100}      - EXA_API_KEY=${EXA_API_KEY:-}    restart: unless-stopped