Why it matters

Single agents get overwhelmed by complex tasks. Multi-agent decomposition improves quality, testability, and modularity. Understanding the pattern is essential for anything beyond trivial agents.

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The architecture

Coordinator pattern: top agent has tools that invoke sub-agents. Sub-agents are themselves agents with their own tools and prompts, focused on specific domains.

Specialists: search agent has web tools, code agent has execution tools, data agent has database tools.

Multi-agent structureCoordinatortop-level planSpecialistsdomain-focusedDelegationvia tool callEach specialist tested independently; coordinator focuses on decomposition and integration
Multi-agent hierarchy.
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How it works end to end

Delegation flow: coordinator plans, invokes sub-agent as a tool with a specific sub-task, receives sub-agent's output, integrates into overall response.

Communication: keep sub-agent interfaces narrow (well-defined input/output). Don't expose full conversation to every sub-agent.

Cost: multi-agent uses more tokens (each agent has its own context). Weigh against quality gains.