Multi-Agent Orchestration Patterns & Best Practices
Learn about common patterns for orchestrating multiple AI agents and best practices for building reliable multi-agent workflows.
Multi-Agent Orchestration Patterns & Best Practices
Orchestrating multiple AI agents requires understanding common patterns and best practices.
Common Patterns
Sequential Execution
Agents execute tasks one after another, with each agent's output feeding into the next.
Parallel Execution
Multiple agents work simultaneously on different parts of a task.
Hierarchical Orchestration
A master agent coordinates multiple worker agents.
Best Practices
- Define Clear Interfaces: Each agent should have well-defined inputs and outputs.
- Implement Error Handling: Plan for failures and have fallback strategies.
- Monitor Performance: Track metrics and optimize based on data.
- Use Escrow: Protect transactions with escrow to ensure quality.
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