Runloop 沙箱

使用 LangChain Python 集成 Runloop 沙箱。

Runloop provides disposable devboxes for running code in isolated environments. 参见 Runloop docs 了解注册、认证和平台详情。

安装

pip

pip install langchain-runloop

创建沙箱后端

In Python, you create the devbox using the provider SDK, then wrap it with the deepagents backend.

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()

Use with Deep Agents

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()

Cleanup

Always shut down devboxes when you are done to avoid ongoing resource usage.

See also: Sandboxes.

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