version: '3.8'
services:
# ========================================
# AI Guides API Service
# ========================================
ai-guides-api:
build:
context: .
dockerfile: Dockerfile
target: production
container_name: context-eng-ai-guides
ports:
- "8888:8888"
environment:
- GEMINI_API_KEY=${GEMINI_API_KEY}
- UVICORN_HOST=0.0.0.0
- UVICORN_PORT=8888
- LOG_LEVEL=${LOG_LEVEL:-info}
- NODE_ENV=${NODE_ENV:-production}
volumes:
- ./logs:/app/logs
command: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8888"]
networks:
- context-engineering
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8888/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
restart: unless-stopped
# ========================================
# Context Engineering API Service
# ========================================
context-engineering-api:
build:
context: .
dockerfile: Dockerfile
target: production
container_name: context-eng-api
ports:
- "9001:9001"
environment:
- GEMINI_API_KEY=${GEMINI_API_KEY}
- UVICORN_HOST=0.0.0.0
- UVICORN_PORT=9001
- LOG_LEVEL=${LOG_LEVEL:-info}
- NODE_ENV=${NODE_ENV:-production}
- DEFAULT_MAX_TOKENS=${DEFAULT_MAX_TOKENS:-8192}
- DEFAULT_OPTIMIZATION_TIMEOUT=${DEFAULT_OPTIMIZATION_TIMEOUT:-300}
volumes:
- ./logs:/app/logs
- ./context_engineering/templates:/app/context_engineering/templates
working_dir: /app/context_engineering
command: ["python", "context_api.py"]
networks:
- context-engineering
depends_on:
- ai-guides-api
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9001/api/stats"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
restart: unless-stopped
# ========================================
# Workflow System Service
# ========================================
workflow-system:
build:
context: .
dockerfile: Dockerfile
target: production
container_name: context-eng-workflow
ports:
- "9002:9002"
environment:
- GEMINI_API_KEY=${GEMINI_API_KEY}
- UVICORN_HOST=0.0.0.0
- UVICORN_PORT=9002
- LOG_LEVEL=${LOG_LEVEL:-info}
- NODE_ENV=${NODE_ENV:-production}
volumes:
- ./logs:/app/logs
working_dir: /app/workflow_system
command: ["python", "workflow_api.py"]
networks:
- context-engineering
depends_on:
- context-engineering-api
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9002/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
restart: unless-stopped
# ========================================
# MCP Server (Optional - for development)
# ========================================
mcp-server:
build:
context: .
dockerfile: Dockerfile
target: production
container_name: context-eng-mcp
environment:
- NODE_ENV=${NODE_ENV:-production}
- CONTEXT_API_URL=http://context-engineering-api:9001
- AI_GUIDES_API_URL=http://ai-guides-api:8888
- LOG_LEVEL=${LOG_LEVEL:-info}
working_dir: /app/mcp-server
command: ["node", "context_mcp_server.js"]
networks:
- context-engineering
depends_on:
- ai-guides-api
- context-engineering-api
restart: unless-stopped
profiles:
- mcp # Only start with --profile mcp
# ========================================
# Networks
# ========================================
networks:
context-engineering:
driver: bridge
name: context-engineering-network
# ========================================
# Volumes (for data persistence)
# ========================================
volumes:
logs-data:
driver: local
templates-data:
driver: local
