Glama
Gauntlet-Incept MCP

version: '3.8'

services:
  # API Service
  api:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: gauntlet-incept-api
    restart: unless-stopped
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=development
      - PORT=3000
      - DB_HOST=alphacommoncrawl-core-reboot.cluster-caeuiwckzo1a.us-east-1.rds.amazonaws.com
      - DB_PORT=5432
      - DB_NAME=core
      - DB_USER=postgres
      - DB_PASSWORD=${DB_PASSWORD}
      - QTI_API_URL=http://qti-service:4000
      - QTI_API_KEY=${QTI_API_KEY:-development_key}
      - LLM_API_URL=http://llm-service:5000
      - LLM_API_KEY=${LLM_API_KEY}
      - LLM_MODEL=gpt-4
    volumes:
      - ./src:/app/src
      - ./docs:/app/docs
    depends_on:
      - qti-service
      - llm-service
    networks:
      - gauntlet-network
    command: npm start

  # MCP Server
  mcp-server:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: gauntlet-incept-mcp
    restart: unless-stopped
    ports:
      - "3001:3001"
    environment:
      - NODE_ENV=development
      - PORT=3001
      - DB_HOST=alphacommoncrawl-core-reboot.cluster-caeuiwckzo1a.us-east-1.rds.amazonaws.com
      - DB_PORT=5432
      - DB_NAME=core
      - DB_USER=postgres
      - DB_PASSWORD=${DB_PASSWORD}
      - QTI_API_URL=http://qti-service:4000
      - QTI_API_KEY=${QTI_API_KEY:-development_key}
      - LLM_API_URL=http://llm-service:5000
      - LLM_API_KEY=${LLM_API_KEY}
      - LLM_MODEL=gpt-4
    volumes:
      - ./src:/app/src
      - ./docs:/app/docs
    depends_on:
      - qti-service
      - llm-service
    networks:
      - gauntlet-network
    command: npm run mcp

  # QTI Service
  qti-service:
    build:
      context: ./services/qti-service
      dockerfile: Dockerfile
    container_name: gauntlet-incept-qti
    restart: unless-stopped
    ports:
      - "4000:4000"
    environment:
      - NODE_ENV=development
      - PORT=4000
      - DB_HOST=alphacommoncrawl-core-reboot.cluster-caeuiwckzo1a.us-east-1.rds.amazonaws.com
      - DB_PORT=5432
      - DB_NAME=core
      - DB_USER=postgres
      - DB_PASSWORD=${DB_PASSWORD}
    volumes:
      - ./services/qti-service:/app
    networks:
      - gauntlet-network

  # LLM Service
  llm-service:
    build:
      context: ./services/llm-service
      dockerfile: Dockerfile
    container_name: gauntlet-incept-llm
    restart: unless-stopped
    ports:
      - "5000:5000"
    environment:
      - NODE_ENV=development
      - PORT=5000
      - OPENAI_API_KEY=${OPENAI_API_KEY}
    volumes:
      - ./services/llm-service:/app
    networks:
      - gauntlet-network

  # Frontend Application
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    container_name: gauntlet-incept-frontend
    restart: unless-stopped
    ports:
      - "8080:80"
    volumes:
      - ./frontend:/app
    depends_on:
      - api
    networks:
      - gauntlet-network

  postgres:
    image: pgvector/pgvector:pg17
    container_name: postgres-vector
    restart: always
    environment:
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
      POSTGRES_DB: core
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./init-scripts:/docker-entrypoint-initdb.d
      - ./core.dump:/tmp/core.dump

networks:
  gauntlet-network:
    driver: bridge

volumes:
  postgres_data: 