Building LLM-Powered Multi-Agent Systems

A single LLM prompt is like an individual genius. A multi-agent system is like a well-structured consulting firm. By coordinating multiple agents with specialized skills, you can solve tasks that were previously impossible for individual models.

Swarm Architecture

Define agents with clear, non-overlapping domains. Use a "lead agent" (a highly capable model) to act as the manager, breaking down the user’s request, delegating specific tasks to specialized "worker agents," and synthesizing the final response. This prevents any single agent from becoming overloaded or distracted.

Communication Protocols

For agents to collaborate, they need a robust communication protocol. Use structured messaging patterns where agents report back with specific, formatted task-completion status, allowing the lead agent to track progress and handle failures efficiently.