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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.

• 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

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.

├── 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.

Every notebook contains buttons so that the notebook can be oppend and run on Google Colab like this:

NOTE: You may need to run the notebooks with a GPU.