Reference · Glossary
Multi-agent system
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A **multi-agent system** coordinates several LLM agents (researcher, critic, coder) that pass messages or share tools to complete a job.
#When to use
Complex workflows with distinct roles and checkpoints — research then critique, plan then execute — when one prompt is too overloaded.
#When not to
Simple Q&A. Extra agents add latency, cost, and failure modes; start with one agent plus tools.
#Quality checklist
- Clear role contracts and stop conditions
- Shared scratchpad / state with size limits
- Eval the whole graph, not only one node
- Human approval for irreversible actions
#Learn next
- Lesson: `multi-agent-systems`
- How-to: Wire a multi-agent crew