AgentCoreSandbox integration

Integrate with the AgentCoreSandbox sandbox backend using LangChain Python.

Amazon Bedrock AgentCore Code Interpreter is a sandbox backend for Deep Agents, enabling secure code execution in isolated MicroVM environments.

Installation

pip

pip install langchain-agentcore-codeinterpreter

uv add langchain-agentcore-codeinterpreter

Create a sandbox backend

See the sandboxes guide for usage, file operations, and lifecycle details.

from bedrock_agentcore.tools.code_interpreter_client import CodeInterpreter
from langchain_agentcore_codeinterpreter import AgentCoreSandbox

interpreter = CodeInterpreter(region="us-west-2")
interpreter.start()

backend = AgentCoreSandbox(interpreter=interpreter)
result = backend.execute("echo hello")
print(result.output)

interpreter.stop()

Use with Deep Agents

from bedrock_agentcore.tools.code_interpreter_client import CodeInterpreter
from langchain_agentcore_codeinterpreter import AgentCoreSandbox
from langchain_anthropic import ChatAnthropic

from deepagents import create_deep_agent

interpreter = CodeInterpreter(region="us-west-2")
interpreter.start()

backend = AgentCoreSandbox(interpreter=interpreter)

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": "Write and run a Python script"}]}
    )
finally:
    interpreter.stop()

Cleanup

Always stop the interpreter when you are done to release resources.

See also: Sandboxes.

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