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Dedication
A heartfelt dedication from a parent to their children, urging them to use technology with wisdom and compassion.
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Acknowledgment
Acknowledgment I would like to express my sincere gratitude to the many individuals and teams who made this book possible.
First and foremost, I thank …
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Foreword
An exploration of agentic design patterns for building intelligent systems, essential for developers working with large language models.
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A Thought Leader's Perspective: Power and Responsibility
A Thought Leader’s Perspective: Power and Responsibility Of all the technology cycles I’ve witnessed over the past four decades—from the birth …
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Introduction
Preface Welcome to “Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems.” As we look across the landscape of modern …
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What makes an AI system an "agent"?
Explains the concept of AI agents, their functions, and their growing importance in technology and business.
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Chapter 1: Prompt Chaining
Chapter 1: Prompt Chaining Prompt Chaining Pattern Overview Prompt chaining, sometimes referred to as Pipeline pattern, represents a powerful paradigm …
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Chapter 2: Routing
Explains the concept of routing in AI agents, enabling dynamic decision-making based on input and context.
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Chapter 3: Parallelization
Chapter 3: Parallelization Parallelization Pattern Overview In the previous chapters, we’ve explored Prompt Chaining for sequential workflows …
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Chapter 4: Reflection
Chapter 4: Reflection Reflection Pattern Overview In the preceding chapters, we’ve explored fundamental agentic patterns: Chaining for …
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Chapter 5: Tool Use
Chapter 5: Tool Use (Function Calling) Tool Use Pattern Overview So far, we’ve discussed agentic patterns that primarily involve orchestrating …
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Chapter 6: Planning
Explains the Planning pattern in AI, its adaptability, and practical applications.
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Chapter 7: Multi-Agent
Chapter 7: Multi-Agent Collaboration While a monolithic agent architecture can be effective for well-defined problems, its capabilities are often …
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Chapter 8: Memory Management
Chapter 8: Memory Management Effective memory management is crucial for intelligent agents to retain information. Agents require different types of …
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Chapter 9: Learning and Adaptation
Chapter 9: Learning and Adaptation Learning and adaptation are pivotal for enhancing the capabilities of artificial intelligence agents. These …
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Chapter 10: Model Context Protocol (MCP)
Chapter 10: Model Context Protocol To enable LLMs to function effectively as agents, their capabilities must extend beyond multimodal generation. …
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Chapter 11: Goal Setting and Monitoring
Chapter 11: Goal Setting and Monitoring For AI agents to be truly effective and purposeful, they need more than just the ability to process …
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Chapter 12: Exception Handling and Recovery
Chapter 12: Exception Handling and Recovery For AI agents to operate reliably in diverse real-world environments, they must be able to manage …
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Chapter 13: Human-in-the-Loop
Chapter 13: Human-in-the-Loop The Human-in-the-Loop (HITL) pattern represents a pivotal strategy in the development and deployment of Agents. It …
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Chapter 14: Knowledge Retrieval (RAG)
Chapter 14: Knowledge Retrieval (RAG) LLMs exhibit substantial capabilities in generating human-like text. However, their knowledge base is typically …
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Chapter 15: Inter-Agent Communication (A2A)
Chapter 15: Inter-Agent Communication (A2A) Individual AI agents often face limitations when tackling complex, multifaceted problems, even with …
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Chapter 16: Resource-Aware Optimization
Chapter 16: Resource-Aware Optimization Resource-Aware Optimization enables intelligent agents to dynamically monitor and manage computational, …
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Chapter 17: Reasoning Techniques
Chapter 17: Reasoning Techniques This chapter delves into advanced reasoning methodologies for intelligent agents, focusing on multi-step logical …
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Chapter 18: Guardrails/Safety Patterns
Chapter 18: Guardrails/Safety Patterns Guardrails, also referred to as safety patterns, are crucial mechanisms that ensure intelligent agents operate …
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Chapter 19: Evaluation and Monitoring
Chapter 19: Evaluation and Monitoring This chapter examines methodologies that allow intelligent agents to systematically assess their performance, …
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Chapter 20: Prioritization
Chapter 20: Prioritization In complex, dynamic environments, Agents frequently encounter numerous potential actions, conflicting goals, and limited …
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Chapter 21: Exploration and Discovery
Chapter 21: Exploration and Discovery This chapter explores patterns that enable intelligent agents to actively seek out novel information, uncover …
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Appendix A: Advanced Prompting Techniques
Advanced techniques for crafting effective prompts to elicit high-quality responses from language models.
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Appendix B - AI Agentic ….: From GUI to Real world environment
Appendix B - AI Agentic Interactions: From GUI to Real World environment AI agents are increasingly performing complex tasks by interacting with …
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Appendix C - Quick overview of Agentic Frameworks
Appendix C - Quick overview of Agentic Frameworks LangChain LangChain is a framework for developing applications powered by LLMs. Its core strength …
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Appendix D - Building an Agent with AgentSpace (on-line only)
Appendix D - Building an Agent with AgentSpace Overview AgentSpace is a platform designed to facilitate an “agent-driven enterprise” by …
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Appendix E - AI Agents on the CLI (online)
Appendix E - AI Agents on the CLI Introduction The developer’s command line, long a bastion of precise, imperative commands, is undergoing a …
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Appendix F - Under the Hood: An Inside Look at the Agents’ Reasoning Engines
Appendix F - Under the Hood: An Inside Look at the Agents’Reasoning Engines The emergence of intelligent Agents represents a pivotal shift in …
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Appendix G - Coding agents
Appendix G - Coding Agents Vibe Coding: A Starting Point “Vibe coding” has become a powerful technique for rapid innovation and creative …
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Conclusion
Comprehensive overview of agentic AI patterns and their role in building intelligent systems.
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Glossary
Glossary Fundamental Concepts Prompt: A prompt is the input, typically in the form of a question, instruction, or statement, that a user provides to …
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Index of Terms
Glossary Fundamental Concepts Prompt: A prompt is the input, typically in the form of a question, instruction, or statement, that a user provides to …
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Online Contribution - Frequently Asked Questions: Agentic Design Patterns
Frequently Asked Questions: Agentic Design Patterns What is an “agentic design pattern”? An agentic design pattern is a reusable, …
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