Agents need stateful little computers
TL;DR · AI Summary
Agents require stateful execution environments to install packages, edit files, follow long-running tasks, and resume context, while running untrusted code by default; LangSmith Sandboxes are built for this model and are now generally available.
Key Takeaways
- Agents need stateful environments: package installation, file editing, long-task
- Run untrusted code by default for secure isolation.
- LangSmith Sandboxes are designed for this execution model and are now GA.
Outline
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Agents need stateful environments to install packages, edit files, follow long-running tasks, and resume context.
Run untrusted code by default to ensure secure isolation.
Built specifically for this execution model and now generally available.
Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- 智能体运行环境需求
- 持久化状态能力
- 安装包
- 编辑文件
- 跟踪长任务
- 恢复上下文
- 安全执行模型
- 默认运行不受信任代码
- 安全隔离
- 解决方案
- LangSmith Sandboxes
- 一般可用
Highlights
Key sentences worth saving and sharing.
Agents need stateful environments to install packages, edit files, follow long-running tasks, and resume context.
Run untrusted code by default to ensure secure isolation.
LangSmith Sandboxes are built specifically for this execution model and are now generally available.
They need to run code that is untrusted by default.
We built LangSmith Sandboxes specifically for this execution model." / X
LangChain on X: "Agents need stateful little computers where they can install packages, edit files, follow long-running threads of work, and come back to where they left off. They need to run code that is untrusted by default. We built LangSmith Sandboxes specifically for this execution model." / X
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Agents need stateful little computers where they can install packages, edit files, follow long-running threads of work, and come back to where they left off. They need to run code that is untrusted by default. We built LangSmith Sandboxes specifically for this execution model.
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