Overview

AI agents are rapidly moving from research labs into real-world systems, powering automation, analysis, decision-making, and entire business workflows. Building AI Agents with LLMs is a complete, hands-on guide that shows developers how to design, build, optimize, and deploy autonomous agents using today's leading frameworks, including LangChain, LangGraph, CrewAI, MCP, and OpenAI's agent tooling ecosystem. This book cuts through complexity with clear explanations, practical examples, and fully runnable code. Each chapter builds on the previous one, teaching you not only how agents work, but how to use them responsibly, safely, and efficiently. You will learn how to structure reasoning loops, define tool schemas, manage long-term state, enforce guardrails, coordinate multiple agents, integrate retrieval systems, and scale your pipelines for production environments. You will develop several complete projects along the way-from intelligent research assistants to autonomous business workflows and customer-support agents-giving you the skills and confidence to build real systems that perform reliably under real constraints. What You Will Learn- How LLM-powered agents plan, reason, and act - How to design effective tools, function calls, schemas, and structured outputs - How to connect agents to real APIs, files, databases, and operating-system tools - How to implement multi-step reasoning flows without hallucination - How to integrate retrieval, search, knowledge access, and memory systems - How to manage long-running tasks, persistent state, and agent identity - How to enforce safety boundaries and control agent autonomy - How to coordinate collaborative multi-agent systems for business automation - How to optimize latency, cost, performance, and reliability at scale - How to apply LangChain, LangGraph, CrewAI, MCP, and OpenAI tools together effectively Who This Book Is ForThis book is written for developers, engineers, researchers, automation specialists, and founders who want to master agentic AI with practical, production-ready techniques. If you know basic Python and want to go beyond simple chatbots into building capable autonomous systems, this book is for you. Build Real, Reliable, and Scalable AI AgentsBy the final chapter, you will be able to architect intelligent systems that reason clearly, take action safely, adapt over time, and operate at production scale. Building AI Agents with LLMs is the guide for anyone committed to understanding and building the next generation of autonomous AI.

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