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

Agentic AI is no longer science fiction — it is production software. This book is a practical, hands-on guide for Pythondevelopers 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 ActionsEvery 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 willgive you the mental model and the code to ship agents with confidence.Stop calling LLM APIs. Start building agents. Read more