Browser Use is an open-source Python library that enables LLM-based agents to operate web browsers and interact with web applications. It can navigate, enter data, extract text and manage multiple tabs to coordinate actions across applications. The library is particularly useful when AI agents need to access, manipulate or retrieve information from web content. It supports a range of LLMs and leverages Playwright to combine visual understanding with HTML structure extraction for richer web interactions. Our teams integrated Browser Use with the Pytest framework and Allure reporting to explore automated testing with LLMs. Test steps were written in natural language for the agent to execute, capturing screenshots on assertions or failures. The goal was to enable off-hours QA by automatically pulling test cases from Confluence for post-development verification. Early results are promising, though the agent's post-task responses often lack detailed failure descriptions, so require custom error reporting.
Browser Use 是一个开源的 Python 库，使基于 LLM 的 AI 代理能够使用网页浏览器并访问 Web 应用。它可以控制浏览器并执行包括页面导航、输入操作和文本提取在内的各种步骤。该库支持多标签页管理，能够在多个 Web 应用之间协调执行操作。在需要 LLM 代理访问网页内容、执行操作并获取结果的场景中，该库非常有用。它支持多种 LLM，并利用 Playwright 来控制浏览器，结合视觉理解与 HTML 结构提取，以优化 Web 交互体验。该库在多代理场景中正逐渐受到关注，使代理能够协作完成涉及 Web 交互的复杂工作流。
