RunloopSandbox 集成

使用 LangChain Python 与 RunloopSandbox 沙箱后端集成。

Runloop 提供用于在隔离环境中运行代码的可销毁开发环境。有关注册、身份验证和平台详细信息，请参阅 Runloop 文档。

安装

pip

pip install langchain-runloop

uv add langchain-runloop

创建沙箱后端

在 Python 中，您使用提供商 SDK 创建开发环境，然后将其封装在 deepagents 后端 中。

from runloop_api_client import RunloopSDK

from langchain_runloop import RunloopSandbox

api_key = "..."
client = RunloopSDK(bearer_token=api_key)

devbox = client.devbox.create()
backend = RunloopSandbox(devbox=devbox)

try:
    result = backend.execute("echo hello")
    print(result.output)
finally:
    devbox.shutdown()

与 Deep Agents 配合使用

from runloop_api_client import RunloopSDK
from langchain_anthropic import ChatAnthropic

from deepagents import create_deep_agent
from langchain_runloop import RunloopSandbox

api_key = "..."
client = RunloopSDK(bearer_token=api_key)

devbox = client.devbox.create()
backend = RunloopSandbox(devbox=devbox)

agent = create_deep_agent(
    model=ChatAnthropic(model="claude-sonnet-4-20250514"),
    system_prompt="You are a coding assistant with sandbox access.",
    backend=backend,
)

try:
    result = agent.invoke(
        {"messages": [{"role": "user", "content": "Create a small Python project and run tests"}]}
    )
finally:
    devbox.shutdown()

清理

完成后请始终关闭开发环境，以避免持续的资源占用。

另见：沙箱。

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