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Building Agents with OpenAI Agents SDK

You're reading from Building Agents with OpenAI Agents SDK Create practical AI agents and agentic systems through hands-on projects

Product type Paperback

Published in Oct 2025

Publisher Packt

ISBN-13 9781806112012

Length 276 pages

Edition 1st Edition

Languages

Python

Tools

OpenAI Python library

Concepts

GPT/LLMs

Author (1):

Habib

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Table of Contents (15) Chapters

Preface

1. Part 1: AI Agents

2. Introduction to AI Agents FREE CHAPTER

3. Introduction to OpenAI Agents SDK

4. Environment Setup and Developing Your First Agent

5. Part 2: OpenAI Agents SDK

6. Agent Tools and MCPs

7. Memory and Knowledge

8. Multi-Agent Systems and Handoffs

9. Model and Context Management

10. Agent System Management

11. Part 3: Build AI Agents

12. Building AI Agents and Agentic Systems

13. Other Books You May Enjoy

14. Index

Summary

In this chapter, we explored how to coordinate multiple agents to solve complex tasks by introducing orchestration and handoff strategies in OpenAI Agents SDK.

We first distinguished between deterministic and dynamic orchestration. We then introduced the handoff mechanism, a core OpenAI Agents SDK primitive that enables one agent to pass control to another. We expanded this further with multi-agent switching, allowing agents to transfer control back and forth in longer conversations using persistent memory, and customizing handoffs through callback functions and prompts.

Finally, we explored the four different multi-agent system patterns: centralized, hierarchical (subset of centralized), decentralized, and swarm (subset of decentralized).

In the next chapter, we’ll learn how to manage the underlying workhorse of agents: the LLM.

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Authors (1)

Habib

Habib

Henry Habib is a Manager at one of the world's top management consulting firms, advising F500 companies on analytics and operations, with a particular focus on building intelligent AI-driven solutions and tools to create impact. He is a passionate online instructor and educator, amassing a of more than 120K paid students and facilitating technical programs at large banks and governmental. A proponent in the no-code and LLM revolution, he believes that anyone can now create powerful and intelligent applications without any deep technical skills. Henry resides in Toronto, Canada with his wife, and enjoys reading AI research papers and playing tennis in his free time.

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