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AutoGen is a multi-agent conversational AI framework that enables the creation of applications where multiple AI agents can collaborate to solve complex tasks. The architecture consists of several key components:

Core Components

  • Agent Framework: Base classes for creating different types of agents

  • Conversation Manager: Handles multi-agent conversations and message routing

  • Code Execution Environment: Secure environment for running generated code

  • Model Integration: Support for various LLM providers (OpenAI, Azure OpenAI, etc.)

Agent Types

  • AssistantAgent: Primary AI assistant that generates responses

  • UserProxyAgent: Represents human users and can execute code

  • GroupChat: Manages conversations between multiple agents

  • Custom Agents: Specialized agents for specific tasks

The framework follows a modular design where agents communicate through a standardized message protocol, allowing for flexible composition of multi-agent workflows.