我如何在 5 分钟内为我的 AI 代理添加人机协作审批
📄 中文摘要
在构建 AI 代理的过程中,常常遇到它们在没有事先询问的情况下执行实际操作的问题,例如发送电子邮件、创建工单和部署代码。AI 代理无法区分测试环境和生产环境,也无法理解“向所有潜在客户发送跟进邮件”意味着发送 3,000 封邮件。因此,开发了 Queuelo,这是一种简单的审批层,可以在任何代理操作之前进行插入。通过将代理的操作请求发送到 Queuelo,用户可以确保所有重要的行动都经过人工审批,从而避免潜在的错误和不必要的后果。
📄 English Summary
How I added human-in-the-loop approval to my AI agent in 5 minutes
Building AI agents often leads to the issue of them taking real-world actions without prior approval, such as sending emails, creating tickets, and deploying code. The agents cannot distinguish between test and production environments, nor do they understand that sending a follow-up email to all leads could mean sending 3,000 emails. To address this, Queuelo was developed as a simple approval layer that can be placed in front of any agent action. By having the agent POST its actions to Queuelo, users can ensure that all significant actions receive human approval, thus preventing potential errors and unnecessary consequences.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等