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Paperback The Bible of Agentic AI Systems: Building Intelligent Agents with Python Book

ISBN: B0GX67WDB6

ISBN13: 9798257080012

The Bible of Agentic AI Systems: Building Intelligent Agents with Python

Agentic AI is no longer science fiction - it is production software. This book is a practical, hands-on guide for Python
developers who want to build real autonomous agents using the two most capable frameworks available today: the OpenAI
Agents SDK and the Claude Agent SDK.

Instead of shallow examples, you will build a complete agentic system from the ground up: an agent that perceives,
reasons, uses tools, calls other agents, remembers past conversations, runs on a schedule, and survives restarts in
production.

Inside you will learn how to:

- Understand the perception-reasoning-action loop that powers every modern agent
- Set up a clean async Python environment for agentic workloads
- Build your first agent with the OpenAI Agents SDK and with the Claude Agent SDK, and compare them side by side
- Design and register custom tools, function calling, and structured outputs
- Orchestrate multi-agent systems with handoffs, sub-agents, and delegation
- Add persistent memory with SQLite and vector embeddings for long-term recall
- Integrate Model Context Protocol (MCP) servers for reusable, framework-agnostic tools
- Implement guardrails, safety policies, cost limits, and prompt-injection defenses
- Stream responses over Server-Sent Events for responsive UIs
- Run agents autonomously in the background with schedulers, cron jobs, and daemons
- Deploy to production with FastAPI, Docker, and GitHub Actions

Every chapter ends with working code you can run immediately. The final project is a self-evolving assistant with memory,
skills, sub-agents, and MCP integration - the same architecture used by modern agentic products in industry.

Whether you are a backend engineer, an AI practitioner, or a founder building your first agentic product, this book will
give you the mental model and the code to ship agents with confidence.

Stop calling LLM APIs. Start building agents.

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