Building A Multi-Agent System
Building a Multi-Agent System 1. Introduction Overview In this lab, you will go beyond simple chatbots and build a distributed multi-agent system. While a single LLM can answer questions, real-world complexity often requires specialized roles. You don't ask your backend engineer to design the UI, and you don't ask your designer to optimize database queries. Similarly, we can create specialized AI agents that focus on one task and coordinate with each other to solve complex problems. You will build a Course Creation System consisting of: Researcher Agent: Using google_search to find up-to-date information. Judge Agent: Critiquing the research for quality and completeness. Content Builder Agent: Turning the research into a structured course. Orchestrator Agent: Managing the workflow and communication between these specialists. What you'll do Define a tool-using agent (researcher) that can search the web. Implement structured output with Pydantic for the judge. Connect to remo...