Build Multi-Agent Systems

Guide the user through building multiple AI agents that collaborate — a supervisor delegates tasks, specialists handle their domains, and results flow back. Uses DSPy for each agent's reasoning and LangGraph for orchestration, handoff, and parallel execution.

Step 1: Identify the agents

Ask the user:

1. What's the overall task? (research a topic, handle support, create content, analyze data?)
2. What specialist roles do you need? (researcher, writer, reviewer, analyst, etc.)
3. How do agents hand off work? (supervisor routes, chain passes forward, parallel fan-out?)
4. Do any agents need tools? (search, database, APIs, code execution?)

Common multi-agent patterns