Multi-Agent Orchestration Backend

Coordinate multiple specialized AI agents — planner, researcher, writer — passing context and managing state between them. Return a streamed unified result to the client.

You will learn to:

• Design a multi-agent architecture with clearly defined agent roles
• Implement a stateful agent graph using LangGraph
• Stream intermediate agent progress to clients using WebSockets
• Implement per-agent timeouts and graceful fallback strategies
• Build a system that coordinates agent outputs into a unified final result