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The Bible of Agentic AI Systems: Building Intelligent Agents with Python
Paperback
Publisher: Independently Published
Published: Apr 12 2026
Pages: 340
Weight: 1.00
Height: 0.71 Width: 6.00 Depth: 9.00
Language: English
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,
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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