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本页 10 段还没译成日本語,下面显示的是英文原文。ModalSandbox integration
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Modal provides serverless container infrastructure with GPU support. See the Modal docs for signup, authentication, and platform details.
Installation
pip install langchain-modaluv add langchain-modalCreate a sandbox backend
In Python, you create the sandbox using the provider SDK, then wrap it with the deepagents backend.
import modal
from langchain_modal import ModalSandbox
app = modal.App.lookup("your-app")
modal_sandbox = modal.Sandbox.create(app=app)
backend = ModalSandbox(sandbox=modal_sandbox)
result = backend.execute("echo hello")
print(result.output)Use with Deep Agents
import modal
from langchain_anthropic import ChatAnthropic
from deepagents import create_deep_agent
from langchain_modal import ModalSandbox
app = modal.App.lookup("your-app")
modal_sandbox = modal.Sandbox.create(app=app)
backend = ModalSandbox(sandbox=modal_sandbox)
agent = create_deep_agent(
model=ChatAnthropic(model="claude-sonnet-4-6"),
system_prompt="You are a coding assistant with sandbox access.",
backend=backend,
)
result = agent.invoke(
{"messages": [{"role": "user", "content": "Install numpy and calculate pi"}]}
)Cleanup
You are responsible for managing the sandbox lifecycle via Modal. When you are done, terminate the sandbox.
See also: Sandboxes.
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