Ai Agents Workshop 07 25

Graduating your AI Agents Workshop 🤖

Welcome to the **Graduating your AI Agents Workshop**! This repository contains a comprehensive, hands-on tutorial for building AI agents that are ready for production use.

🎯 Workshop Overview

This workshop takes you from a simple toy example to a production-ready AI agent system. You'll learn the essential patterns, tools, and practices needed to build, deploy, and maintain AI agents in real-world scenarios.

🚀 What You'll Build

By the end of this workshop, you'll have built:

• A simple coding agent (toy example)
• A multi-agent system with specialized roles
• An agent with state management and memory
• A fully instrumented system with tracing and observability
• A production-ready agent with evaluation and monitoring

📋 Prerequisites

• Python 3.8+ installed on your system
• OpenAI API Key (get one from OpenAI Platform)
• Basic Python knowledge (functions, classes, async/await)
• Git for version control
• Terminal/Command Line familiarity

🗺️ Workshop Structure

🎬 Introduction & Motivation (30 min)

**What we'll cover:**

• Setting up the development environment
• Understanding what makes an AI agent "production-ready"
• Analyzing existing production systems (e.g., GitHub Copilot)
• Key challenges in agent development

**Learning outcomes:**

• Understand the difference between toy examples and production systems
• Identify the key components of a production AI agent
• Set up your development environment

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🧸 [Module 1: Toy Example](./1-toy-example/) (30 min)

**Build a simple coding agent from scratch**

**What you'll learn:**

• Core agent architecture patterns
• Tool calling and integration
• Basic error handling
• Agent-tool interaction loops

**What you'll build:**

• A coding agent that can write, execute, and test Python code
• Integration with file system operations using Composio's FileTool app
• A simple REPL (Read-Eval-Print