AutoGen Nested Chat 🔥 AI Agent Consults Another Agent (Manager–Expert Pattern)

This tutorial demonstrates building a manager-expert AI agent pattern using AutoGen's nested chat functionality, where one agent consults another agent to solve complex problems. The manager agent delegates tasks to expert agents, who provide specialized knowledge, and the manager synthesizes the responses. This hierarchical approach enables more sophisticated multi-agent systems with clear separation of concerns and improved problem-solving capabilities.

Key Points

• •Nested chat allows one agent to initiate conversations with other agents, creating hierarchical agent architectures
• •Manager-expert pattern: manager agent delegates specialized tasks to expert agents based on their domain knowledge
• •Expert agents provide focused, specialized responses that the manager can synthesize into comprehensive solutions
• •Use ConversableAgent to create agents capable of both initiating and responding to nested conversations
• •Nested chats enable complex reasoning by breaking problems into specialized sub-tasks across multiple agents
• •Manager agent acts as orchestrator, deciding which expert to consult and how to integrate their responses
• •This pattern improves scalability by allowing easy addition of new expert agents without modifying core logic
• •Nested conversations maintain context and conversation history across agent interactions
• •Expert agents can be configured with specific system prompts to define their expertise domain
• •Manager-expert pattern reduces hallucination by having specialized agents focus on their domain of expertise

Workflow Diagram

Concepts