| layout | default |
|---|---|
| title | Chapter 4: Multi-Agent Orchestration |
| nav_order | 4 |
| parent | Agno Tutorial |
Welcome to Chapter 4: Multi-Agent Orchestration. In this part of Agno Tutorial: Multi-Agent Systems That Learn Over Time, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
Multi-agent systems need explicit role and handoff boundaries to remain reliable.
| Role | Responsibility |
|---|---|
| coordinator | route tasks and manage execution state |
| specialist agents | domain-specific reasoning and tool usage |
| reviewer/guard | quality and policy enforcement |
- pass only required context to each specialist
- log handoff reason and result
- enforce max handoff depth per request
You now have a practical pattern for building coherent Agno multi-agent teams.
Next: Chapter 5: Knowledge, RAG, and Tools
Multi-agent orchestration in Agno is implemented in libs/agno/agno/team/team.py. The Team class coordinates multiple agents, handling routing, delegation, and response aggregation. The mode parameter (route, coordinate, collaborate) maps to the orchestration patterns described in this chapter.