Overview

Claude Agent SDK: Build Production-Ready AI Agents Building AI agents that actually work in real-world environments is no small feat. Developers often face the same frustrating obstacles: brittle prototypes that break at scale, unstructured prompts that produce inconsistent results, and security challenges that make enterprise deployment risky. The Claude Agent SDK was designed to change that-giving developers a stable, extensible framework to design, deploy, and manage intelligent agents that deliver reliability, safety, and measurable business impact. This book is your complete technical guide to mastering that process. Written in a direct, hands-on style, Claude Agent SDK: Build Production-Ready AI Agents takes you step by step through building real agents-from initial setup and tool integration to governance, multi-agent workflows, and CI/CD deployment. You'll learn the same patterns and engineering practices used by professionals to move from experimental prototypes to production systems that teams can trust. Across twelve detailed chapters, you'll gain practical experience in topics such as: Structuring agent projects for clarity, scalability, and collaboration Implementing retrieval-augmented workflows, embedding stores, and memory architectures Integrating external tools, APIs, and Model Context Protocol (MCP) services Managing secrets, permissions, and sandboxed execution securely Observing, testing, and debugging live agents through structured logs and metrics Automating deployment pipelines and enforcing policy-driven governance Every section is grounded in practical examples and code you can use immediately, ensuring you not only understand the concepts but can apply them in your own environments. Whether you're building an enterprise automation assistant, an internal developer tool, or a multi-tenant AI platform, this book will show you how to design agents that are fast, resilient, and accountable. By the time you finish, you'll have more than just working knowledge-you'll have a professional framework for building agents that meet production standards, integrate safely with real systems, and scale with confidence.

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