一个智能体可以完成任务,但走的路径却并不高效。一次失败的搜索可能触发另一次搜索。一次被截断的文件读取可能导致命令再次获取相同内容。正确的最终答案往往掩盖了这些额外步骤,尽管它们增加了延迟并消耗了更多Token。低效操作也会增加失败的风险。 为了改进智能体的行为,开发者必须理解任务是否成功,以及智能体是如何完成任务的。仅凭成功检查无法解释智能体为何从工具错误中恢复、为何提前停止,或为何需要额外的模型 ...
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This tutorial walks through an example of crawling a website (in this example, the OpenAI website), turning the crawled pages into embeddings using the Embeddings API, and then creating a basic search ...
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