AutoGen Two-Agent System 🔥 Creator-Critic + Chat Results + max_turns (Full Guide)

This guide demonstrates how to build a two-agent AutoGen system using a Creator-Critic architecture pattern. The system leverages chat results and max_turns parameters to control agent interactions and conversation flow. It covers practical implementation of multi-agent conversations where one agent generates content and another provides critical feedback, enabling iterative refinement of outputs.

Key Points

• •Creator-Critic pattern: One agent generates content while another evaluates and provides constructive feedback
• •Use max_turns parameter to limit conversation iterations and prevent infinite loops
• •Chat results enable tracking and analysis of multi-agent conversation outcomes
• •AutoGen framework simplifies orchestration of multiple AI agents with different roles
• •Implement feedback loops where critic suggestions drive creator refinements
• •Configure agent personalities and instructions to define their specific roles
• •Monitor conversation history to understand agent interactions and decision-making
• •Set termination conditions based on quality thresholds or turn limits
• •Leverage GitHub repository for complete working code examples and implementation details

Workflow Diagram

Concepts