How to Build a Web-Aware AI Agent Using OpenAI Agents SDK and Zenrows

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A new developer guide published on the Zenrows blog explains how to combine OpenAI's Agents SDK with Zenrows Fetch to create a web-aware AI agent capable of both broad web search and live page retrieval. The tutorial highlights a key limitation of OpenAI's built-in WebSearchTool, which returns cached page versions and cannot access JavaScript-rendered content such as real-time prices or stock levels. To address this, developers can register Zenrows Fetch as a custom function tool alongside WebSearchTool, allowing the agent to intelligently route between discovery and live-page retrieval on each query. The setup requires Python 3.9 or later, an OpenAI API key, and a Zenrows API key, with all sample code available on GitHub. The guide walks through installation, environment configuration, and code implementation step by step.

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