A hands-on educational resource for constructing AI agents using Microsoft AutoGen's AgentChat framework, progressing from foundational concepts to sophisticated multi-agent coordination systems with human supervision.
This repository provides comprehensive tutorials for building AI agents using Microsoft AutoGen’s AgentChat framework. It covers the complete spectrum from basic async programming fundamentals to advanced multi-agent team coordination.
The tutorial demonstrates practical implementation of single-agent assistants, custom tool integration for web search and API interactions, and sophisticated multi-agent teams using RoundRobinGroupChat for specialized agent collaboration. Each concept is presented through working code examples in both Jupyter notebook and standalone script formats.
Educational institutions, developers, and AI practitioners benefit from this structured learning path. The hands-on approach makes it ideal for courses, self-study, and team training on modern AI agent development with real-world applications.
Powerful features that make this solution stand out
Introduction to Python's asyncio for concurrent operations, providing the foundation for building responsive AI agents.
Step-by-step guide to creating basic AI assistants using OpenAI's GPT models with AutoGen framework.
Custom tool implementation for web search and API interactions, enabling agents to access external data sources.
Advanced orchestration using RoundRobinGroupChat for specialized agent collaboration on complex tasks.
UserProxyAgent implementation for approval mechanisms, ensuring human oversight in automated processes.
Includes Jupyter notebooks and standalone Python scripts demonstrating each concept with working code.
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