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AI Agents in Action is about building and working with intelligent agent systems—not just creating autonomous entities but also developing agents that can effectively tackle and solve real-world problems. The book starts with the basics of working with large language models (LLMs) to build assistants, multi-agent systems, and agentic behavioral agents. From there, it explores the key components of agentic systems: retrieval systems for knowledge and memory augmentation, action and tool usage, reasoning, planning, evaluation, and feedback. The book demonstrates how these components empower agents to perform a wide range of complex tasks through practical examples. This journey isn’t just about technology; it’s about reimagining how we approach problem solving. I hope this book inspires you to see intelligent agents as partners in innovation, capable of transforming ideas into actions in ways that were once thought impossible. Together, we’ll explore how AI can augment human potential, enabling us to achieve far more than we could alone. This book is for anyone curious about intelligent agents and how to develop agentic systems—whether you’re building your first helpful assistant or diving deeper into complex multi-agent systems. No prior experience with agents, agentic systems, prompt engineering, or working with LLMs is required. All you need is a basic understanding of Python and familiarity with GitHub repositories. My goal is to make these concepts accessible and engaging, empowering anyone who wants to explore the world of AI agents to do so with confidence. Whether you’re a developer, researcher, or hobbyist or are simply intrigued by the possibilities of AI, this book is for you. I hope that in these pages you’ll find inspiration, practical guidance, and a new appreciation for the remarkable potential of intelligent agents. Let this book guide understanding, creating, and unleashing the power of AI agents in action.