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Managed Deep Agents v0.10新增浏览器使用和异步子智能体

AI 总结

Managed Deep Agents v0.10新增浏览器使用和异步子智能体。浏览器工具让智能体能够操作没有API的网站,线程级和用户级会话则用于管理浏览器状态。浏览器交接允许用户自行完成登录或双重验证,使密码不会进入模型消息和追踪记录。异步子智能体可在后台运行长时间任务,同时主智能体继续与用户交流;用户可以检查、更新或取消这些任务。此次发布还加入了线程来源记录、运行停止控制、实验性的Slack频道处理器以及resolveUser支持。

深度见解

此次更新使智能体能够处理没有API的网站任务,并在不阻塞主对话的情况下运行长任务;人工交接则让用户完成身份验证,而无需向智能体暴露凭据。

Key Takeaways

  • A browser lets agents do work on the web that APIs can't cover, including clicking, scrolling, and filling out forms.
  • Managed Deep Agents now runs a browser for your agent, with tools tuned for context-efficient browser use.
  • Managed Deep Agents ships with support for thread and user scoped browser sessions. Handoffs allow users to log into and interact with websites with credentials persisted across sessions.

Agents have gotten good enough to work where we work, and a lot of that work happens in a browser. Booking travel, canceling a subscription, or filing a claim all happen on sites built for people clicking through pages, including ones the agent didn't plan to visit. Often there's no API an agent can call. Fetching the page with curl doesn't get far either, since it returns the HTML before any JavaScript renders the page and can't click anything.

Personal agents like Instinct and Meta's Muse already work this way. Browser agent traffic is growing fast too, and DataDome saw agentic browser requests jump 4.7x in September alone.

Managed Deep Agents lets you build and deploy agents in LangSmith without running any infrastructure. You write the agent's instructions and tools, and LangSmith runs the harness and runtime. Today, we're giving these agents a browser, so you can build your own agents that work on the web. Managed Deep Agents runs the browser too, and gives your agent tools tuned for it.

#LangChain#Managed Deep Agents v0.10#LangSmith#Stagehand#Browserbase#Slack

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