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Nicolepcx/ai-agents-the-definitive-guide

Companion code repository for the book AI Agents: The Definitive Guide, with Jupyter notebooks covering agent patterns, tooling, evaluation, memory, and security.

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What is it?

This repository holds the example code for the O'Reilly book AI Agents: The Definitive Guide. The code is organized into twelve chapter folders, each containing Jupyter notebooks that can be opened and run directly in Google Colab. Topics include chain-of-thought, tree-of-thought, ReAct, human-in-the-loop workflows, hierarchical agent teams, swarms, and reinforcement-style training with ART and RULER.

Later chapters move toward production concerns. Notebooks cover MCP and A2A integrations with LangGraph, sandboxed tool execution with E2B, programmatic tool calling, inference backends and model fallback, an evaluation harness, external evaluation pipelines with Langfuse and LangSmith, agent memory topologies, cost estimation by topology, and threat modeling with LlamaFirewall and OWASP's agentic security list.

The notebooks are named by chapter and topic, and a shared utils folder holds helper classes and functions used across them.

Key features

  • 01Notebooks cover agent patterns such as ReAct, tree-of-thought, and multi-agent swarms.
  • 02Each notebook has a Colab badge for running without local setup.
  • 03Covers MCP and A2A integrations built on LangGraph.
  • 04Includes evaluation harnesses and integrations with Langfuse and LangSmith.
  • 05Provides examples for agent memory, cost estimation, and threat modeling.

Use cases

  • Following along with the book's chapters while experimenting with agent code.
  • Learning how to build and evaluate LangGraph-based agents.
  • Exploring tool governance and sandboxed execution for agents.

Quick start

  1. 1

    Open a notebook in Google Colab using the badge

  2. 2

    Open the Chapter 1 code examples notebook in Colab

    https://colab.research.google.com/github/Nicolepcx/ai-agents-the-definitive-guide/blob/main/CH01/ch01_code_examples.ipynb

Things to know

  • The repository is a companion to a book and is organized as Jupyter notebooks rather than a reusable library.
  • No license is specified in the repository metadata.

Topics

#ai-agents#llm#langgraph#multi-agent-systems#evaluation#agent-memory#jupyter-notebook#agents#benchmarks#deployment

FAQ

What is ai-agents-the-definitive-guide?
Companion code repository for the book AI Agents: The Definitive Guide, with Jupyter notebooks covering agent patterns, tooling, evaluation, memory, and security. This repository holds the example code for the O'Reilly book AI Agents: The Definitive Guide. The code is organized into twelve chapter folders, each containing Jupyter notebooks that can be opened and run directly in Google Colab. Topics include chain-of-thought, tree-of-thought, ReAct, human-in-the-loop workflows, hierarchical agent teams, swarms, and reinforcement-style training with ART and RULER.
Is ai-agents-the-definitive-guide free to use? What license does it have?
ai-agents-the-definitive-guide has no declared license. Its code is public, but without a license you have no explicit permission to reuse it; ask the author before relying on it.
Is ai-agents-the-definitive-guide still maintained?
Updated within 6 months. The last commit to ai-agents-the-definitive-guide was on Aug 1, 2026.
What can I use ai-agents-the-definitive-guide for?
Following along with the book's chapters while experimenting with agent code. Learning how to build and evaluate LangGraph-based agents. Exploring tool governance and sandboxed execution for agents.
How do I install ai-agents-the-definitive-guide?
Open a notebook in Google Colab using the badge Open the Chapter 1 code examples notebook in Colab: https://colab.research.google.com/github/Nicolepcx/ai-agents-the-definitive-guide/blob/main/CH01/ch01_code_examples.ipynb
Where can I get ai-agents-the-definitive-guide?
The source code and installation instructions are on GitHub: https://github.com/Nicolepcx/ai-agents-the-definitive-guide

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