Best Practices

Production-ready practices for multi-agent systems.

Development Workflow

1. Start Simple: Begin with basic queries to understand agent capabilities
2. Progressive Complexity: Gradually increase task complexity as you learn the system
3. Agent Specialization: Use Local Agent for standard tasks, Cerebras for complex analysis
4. Context Management: Be clear about what you want each agent to focus on

Performance Optimization

1. Resource Management: Monitor container resource usage
2. Network Efficiency: Keep agents and compose services on the same network
3. Caching: Leverage Docker layer caching for faster rebuilds
4. Scaling: Consider horizontal scaling for high-demand scenarios

Security Considerations

1. API Key Protection: Never commit API keys to version control
2. Network Isolation: Use Docker networks for secure inter-agent communication
3. Access Control: Implement proper authentication for production deployments
4. Regular Updates: Keep dependencies and base images updated

Coming Soon

More best practices and production guidelines will be added to this section.