Chapter 4: Multi-Agent Orchestration

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.

Orchestration Pattern

Role	Responsibility
coordinator	route tasks and manage execution state
specialist agents	domain-specific reasoning and tool usage
reviewer/guard	quality and policy enforcement

Handoff Guidance

• pass only required context to each specialist
• log handoff reason and result
• enforce max handoff depth per request

Source References

• Agno First Multi-Agent System
• Agno Docs

Summary

You now have a practical pattern for building coherent Agno multi-agent teams.

Next: Chapter 5: Knowledge, RAG, and Tools

Source Code Walkthrough

libs/agno/agno/team/team.py

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.