Agentic Design Patterns - Antonio Gullí

. .

Résumé :
Introduction.- Prompt Chaining.- Routing.- Parallelization.- Reflection.- Tool Use.- Planning.- Multi-Agent.- Memory Management.- Learning and Adaptation.- Model Context Protocol (MCP).- Goal Setting And Monitoring.- Exception Handling and Recovery.- Human-in-the-Loop.- Knowledge Retrieval (RAG).- Inter-Agent Communication (A2A).- Resource-Aware Optimization.- Reasoning Techniques.- Guardrails/Safety Patterns.- Evaluation and Monitoring.- Prioritzation.- Exploration and Discovery.- Appendix....

Biographie:
Crew AI, which provides a structured framework for orchestrating multiple agents...

Sommaire:

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously.

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges.

To provide a tangible canvas for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences...