Agentes de IA: AutoGen

AutoGen is a Microsoft framework for building AI agents that can collaborate and communicate with each other to solve complex tasks. It enables multi-agent systems where agents can be LLM-based, tool-using, or human-in-the-loop, working together through conversation and task delegation. The framework simplifies agent orchestration, conversation management, and integration with various LLMs and tools.

Key Points

• •AutoGen enables multi-agent collaboration where different agents with specialized roles can communicate and work together to solve problems
• •Agents can be configured as LLM-based (using language models), tool-using (with function calling), or human-in-the-loop (requiring human approval)
• •Conversation management is built-in, allowing agents to maintain context and exchange messages through a structured conversation protocol
• •Supports integration with multiple LLM providers (OpenAI, Azure, local models) and custom tools/functions for extended capabilities
• •GroupChat enables orchestration of multiple agents working on the same task with configurable speaker selection strategies
• •Agents can be given specific system prompts and instructions to define their roles, expertise, and behavior patterns
• •The framework handles message passing, state management, and conversation history automatically
• •Supports nested conversations and hierarchical agent structures for complex problem-solving workflows
• •Built-in code execution capabilities allow agents to write and run code as part of problem-solving
• •Extensible architecture allows custom agent types and conversation strategies for specialized use cases

Workflow Diagram

Concepts