AutoGen Tutorial: Build an AI Agent Workflow in 15 minutes (Step-by-Step Demo)

This tutorial demonstrates how to build an AI agent workflow using Microsoft AutoGen in 15 minutes. It provides a step-by-step guide for beginners to create a simple agentic system from scratch, covering setup, configuration, and basic agent interactions. The video walks through practical implementation with code examples and real-time demonstrations.

Key Points

• •Microsoft AutoGen enables rapid development of multi-agent AI systems with minimal setup
• •Start by installing AutoGen and configuring API keys for LLM providers (OpenAI, Azure, etc.)
• •Define agent roles and responsibilities clearly before implementation
• •Use ConversableAgent class to create agents with specific system prompts and capabilities
• •Implement agent-to-agent communication through initiate_chat() method for task execution
• •Configure LLM settings (model, temperature, max_tokens) for consistent agent behavior
• •Test agent workflows locally before deploying to production environments
• •Leverage built-in termination conditions to control conversation flow and prevent infinite loops

Workflow Diagram

Concepts