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llm-automation-docs-and-rem…/docker-compose.yml
LLM Automation System 1ba5ce851d Initial commit: LLM Automation Docs & Remediation Engine v2.0
Features:
- Automated datacenter documentation generation
- MCP integration for device connectivity
- Auto-remediation engine with safety checks
- Multi-factor reliability scoring (0-100%)
- Human feedback learning loop
- Pattern recognition and continuous improvement
- Agentic chat support with AI
- API for ticket resolution
- Frontend React with Material-UI
- CI/CD pipelines (GitLab + Gitea)
- Docker & Kubernetes deployment
- Complete documentation and guides

v2.0 Highlights:
- Auto-remediation with write operations (disabled by default)
- Reliability calculator with 4-factor scoring
- Human feedback system for continuous learning
- Pattern-based progressive automation
- Approval workflow for critical actions
- Full audit trail and rollback capability
2025-10-17 23:47:28 +00:00

158 lines
3.7 KiB
YAML

version: '3.8'
services:
# MongoDB database
mongodb:
image: mongo:7.0
environment:
MONGO_INITDB_ROOT_USERNAME: ${MONGO_ROOT_USER:-admin}
MONGO_INITDB_ROOT_PASSWORD: ${MONGO_ROOT_PASSWORD}
MONGO_INITDB_DATABASE: datacenter_docs
volumes:
- mongodb_data:/data/db
- mongodb_config:/data/configdb
networks:
- backend
healthcheck:
test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"]
interval: 10s
timeout: 5s
retries: 5
command: ["--auth"]
# Redis cache
redis:
image: redis:7-alpine
command: redis-server --requirepass ${REDIS_PASSWORD}
volumes:
- redis_data:/data
networks:
- backend
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 3s
retries: 5
# API Service
api:
build:
context: .
dockerfile: deploy/docker/Dockerfile.api
ports:
- "8000:8000"
environment:
MONGODB_URL: mongodb://${MONGO_ROOT_USER:-admin}:${MONGO_ROOT_PASSWORD}@mongodb:27017
MONGODB_DATABASE: datacenter_docs
REDIS_URL: redis://:${REDIS_PASSWORD}@redis:6379/0
MCP_SERVER_URL: ${MCP_SERVER_URL}
MCP_API_KEY: ${MCP_API_KEY}
ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY}
CORS_ORIGINS: ${CORS_ORIGINS:-*}
volumes:
- ./output:/app/output
- ./data:/app/data
- ./logs:/app/logs
networks:
- frontend
- backend
depends_on:
mongodb:
condition: service_healthy
redis:
condition: service_healthy
restart: unless-stopped
# Chat Service
chat:
build:
context: .
dockerfile: deploy/docker/Dockerfile.chat
ports:
- "8001:8001"
environment:
MONGODB_URL: mongodb://${MONGO_ROOT_USER:-admin}:${MONGO_ROOT_PASSWORD}@mongodb:27017
MONGODB_DATABASE: datacenter_docs
REDIS_URL: redis://:${REDIS_PASSWORD}@redis:6379/0
MCP_SERVER_URL: ${MCP_SERVER_URL}
MCP_API_KEY: ${MCP_API_KEY}
ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY}
volumes:
- ./output:/app/output
- ./data:/app/data
- ./logs:/app/logs
networks:
- frontend
- backend
depends_on:
mongodb:
condition: service_healthy
redis:
condition: service_healthy
restart: unless-stopped
# Celery Worker
worker:
build:
context: .
dockerfile: deploy/docker/Dockerfile.worker
environment:
MONGODB_URL: mongodb://${MONGO_ROOT_USER:-admin}:${MONGO_ROOT_PASSWORD}@mongodb:27017
MONGODB_DATABASE: datacenter_docs
REDIS_URL: redis://:${REDIS_PASSWORD}@redis:6379/0
MCP_SERVER_URL: ${MCP_SERVER_URL}
MCP_API_KEY: ${MCP_API_KEY}
ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY}
volumes:
- ./output:/app/output
- ./data:/app/data
- ./logs:/app/logs
networks:
- backend
depends_on:
mongodb:
condition: service_healthy
redis:
condition: service_healthy
restart: unless-stopped
deploy:
replicas: 2
# Flower - Celery monitoring
flower:
image: mher/flower:2.0
command: celery --broker=redis://:${REDIS_PASSWORD}@redis:6379/0 flower --port=5555
ports:
- "5555:5555"
environment:
CELERY_BROKER_URL: redis://:${REDIS_PASSWORD}@redis:6379/0
networks:
- frontend
- backend
depends_on:
- redis
restart: unless-stopped
# Frontend
frontend:
build:
context: .
dockerfile: deploy/docker/Dockerfile.frontend
ports:
- "80:80"
networks:
- frontend
depends_on:
- api
- chat
restart: unless-stopped
volumes:
mongodb_config:
mongodb_data:
redis_data:
networks:
frontend:
backend: