📄 中文摘要
大多数 AI 代理面临的一个问题是无法访问实时网页。它们只能基于训练截止日期之前的信息进行回答,因此在询问特定网页内容时,往往会出现幻觉或无法回答的情况。解决方案是为代理提供一个工具,该工具能够提取和解析任何 URL 的内容,并将其转换为结构化的 JSON 格式,然后让大语言模型(LLM)对结果进行推理。虽然直接获取 HTML 内容的方式看似简单,但由于代币成本等问题,效果并不理想。通过这种方法,可以在大约 20 行代码内将其集成到任何代理管道中。
📄 English Summary
How to Give Your AI Agent the Ability to Read Any Webpage
Most AI agents face the issue of being unable to access live web pages. They can only provide answers based on information available up to their training cutoff, leading to hallucinations or inability to respond when asked about specific webpage content. The solution is to equip the agent with a tool that fetches and parses any URL into structured JSON, allowing the large language model (LLM) to reason about the results. While fetching HTML content may seem straightforward, it has significant drawbacks, such as token costs. This method can be integrated into any agent pipeline in about 20 lines of code.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等