What is Multi-Agent Orchestration?
Multi-agent orchestration is the art of coordinating multiple specialized AI agents to achieve complex objectives that no single agent could accomplish alone. Think of it as a team of highly specialized experts working in perfect synergy.
Core Architectures
1. Hub-and-Spoke Architecture
A central orchestrator agent coordinates specialized agents:
2. Peer-to-Peer Architecture
Agents communicate directly with each other:
3. Hierarchical Architecture
Agents organized in layers with increasing responsibilities:
Communication Patterns
Task Delegation
The orchestrator assigns subtasks to specialized agents, collecting and integrating results.
Event-Driven
Agents react to system events, triggering chains of coordinated actions.
Production Best Practices
2. **Timeout and Retry**: Implement robust fallback mechanisms
3. **Distributed Logging**: Track every action of every agent
4. **Circuit Breaker**: Isolate problematic agents without impacting the system
5. **Rate Limiting**: Manage costs and prevent LLM API abuse