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AI Agents - The definitive Guide
This is the corresponding code for the book AI Agents - The Definitive Guide
the book can be found here and on Amazon. The book has an accompanying website with quizzes and additional material, as well as a Discord channel.
TOC
- Chapter 1 From LLMs to Agents: The Foundational Blueprint
- Chapter 2 Architectures and Patterns: Planning, Reactivity, and Multi-Agent-Systems
- Chapter 3 Advanced Planning, Reasoning, and Scalable Execution in Agents
- Chapter 4 Models Behind the Agents: Capabilities and Optimization
- Chapter 5 From Prototypes to Production: Contracts, Tools, and Reliable Execution
- Chapter 6 Secure Execution and Tool Governance
- Chapter 7 Deploying Agents in Real Products
- Chapter 8 Foundational Evaluation and Operational Observation of Agentic Systems
- Chapter 9 Customized and Advanced Evaluation of Agentic Systems
- Chapter 10 Agent Memory: How Persistence Turns Agents Into Evolving Systems
- Chapter 11 From Compute to Cost: Designing Efficient Agentic Systems
- Chapter 12 Threat Modeling for AI Agents
Instructions and Navigation
All of the code is organized into folders. Each folder starts with CH followed by the chapter number. For example, CH01.
The notebooks are then organized as follows: ch01_attention_mechanism_variations.ipynb, where ch01 indicates the chapter
and attention_mechanism_variations what is done in the notebook.
Repo structure
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── CH01 <- Per chapter folder with Jupyter notebooks.
├── [name].ipynb <- Jupyter notebooks with naming as mentioned above.
├── CH02 <- Per chapter folder with Jupyter notebooks.
... <- Same structure for all chapters.
├── utils <- Custom classes and functions and utility functions.
├── resources <- Some miscellaneous resources.
Running the Notebooks
Every notebook can be opened and run on Google Colab directly from the links below. Just click the Open In Colab badge next to the notebook you want to run.
Chapter 1 — From LLMs to Agents: The Foundational Blueprint
| Notebook | Colab |
|---|
| Code Examples |  |
Chapter 2 — Architectures and Patterns: Planning, Reactivity, and Multi-Agent-Systems
| Notebook | Colab |
|---|
| Chain-of-Thought (CoT) | |
| Tree-of-Thought (ToT) | |
| ReAct | |
| Human-in-the-Loop (HITL) | |
| Hierarchical Agent Teams | |
| Swarms | |
Chapter 3 — Advanced Planning, Reasoning, and Scalable Execution in Agents
| Notebook | Colab |
|---|
| ART + RULER | |
| RULER Cat Poems | |
| TreeQuest (AB-MCTS) | |
Chapter 4 — Models Behind the Agents: Capabilities and Optimization
| Notebook | Colab |
|---|
| Supervisor Agent Team | |
Chapter 5 — From Prototypes to Production: Contracts, Tools, and Reliable Execution
| Notebook | Colab |
|---|
| Deep Agents | |
| MCP with LangGraph | |
| Product Reliability Rule | |
| Pydantic Agent Consistency | |
Chapter 6 — Secure Execution and Tool Governance
| Notebook | Colab |
|---|
| A2A + MCP Governed | |
| MCP Server with Composio | |
| LangGraph + E2B Sandbox | |
| Programmatic Tool Calling (Monty) | |
Chapter 7 — Deploying Agents in Real Products
| Notebook | Colab |
|---|
| Hardening Backbone | |
| Inference Backends | |
| Model Fallback | |
Chapter 8 — Foundational Evaluation and Operational Observation of Agentic Systems
| Notebook | Colab |
|---|
| OWASP ASI 2026 | |
| Evaluation Harness | |
Chapter 9 — Customized and Advanced Evaluation of Agentic Systems
| Notebook | Colab |
|---|
| AgentVista | |
| External Evaluation Pipelines (Langfuse) | |
| External Evaluation Pipelines (LangSmith) | |
| RULER Trace Answer Ranking (LangSmith) | |
Chapter 10 — Agent Memory: How Persistence Turns Agents Into Evolving Systems
| Notebook | Colab |
|---|
| Agent Memory with LangGraph | |
| Memory vs. No Memory | |
| Memory Topologies | |
Chapter 11 — From Compute to Cost: Designing Efficient Agentic Systems
| Notebook | Colab |
|---|
| Agent Cost Estimator by Topology | |
| Memoizing Swarm Research Engine | |
| Memory Footprint, Throughput & GPU Requirements | |
Chapter 12 — Threat Modeling for AI Agents
| Notebook | Colab |
|---|
| LlamaFirewall | |
