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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

View More author details

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

OpenAI hosted tools

The benefit of using the SDK that is built by OpenAI is that it comes with easy access to a set of powerful and pre-built tools. These tools require minimal setup; they are fully managed and hosted on OpenAI’s servers (similar to how the LLM is also hosted on OpenAI’s servers). They are also constantly updated, which means you can leverage the latest and greatest technology when calling these tools.

Note

OpenAI-hosted tools incur token costs, just like model LLM calls. When a model calls one of these tools, the tool call and any data passed between the model and tool are billed as tokens.

Hosted tools are included as part of OpenAI’s Responses API framework. When you specify hosted tools via the Agents SDK, the model is aware of those tools and can call them as functions in the same way as custom Python functions. The hosted tools that are available are summarized in the following table:

...

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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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