gatana-langchain 1.0.1

A toolkit for building LangChain applications

gatana-langchain

Current version: v1.0.1

A LangChain sandbox backend for Gatana. Use Gatana sandboxes as isolated execution environments for LangChain deep agents.

Features

• Drop-in sandbox backend for LangChain's deepagents framework
• Isolated command execution, file upload/download, and full filesystem tool support
• Auto-creates and cleans up sandboxes via context manager
• Fully typed with PEP 561 support
• Python 3.11+

Installation

pip install gatana-langchain

Or with uv:

uv add gatana-langchain

Basic usage

Create a Gatana sandbox and pass it as the backend to a deep agent. The agent gets filesystem tools (ls, read_file, write_file, edit_file, glob, grep) and an execute tool for running shell commands — all inside the sandbox.

from gatana_client import AuthenticatedClient
from langchain_anthropic import ChatAnthropic

from deepagents import create_deep_agent
from gatana_langchain import GatanaSandbox

client = AuthenticatedClient(
    base_url="https://api.gatana.ai",
    token="your-gatana-api-key",
)

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

    result = agent.invoke(
        {
            "messages": [
                {
                    "role": "user",
                    "content": "Create a Python script that prints the Fibonacci sequence and run it",
                }
            ]
        }
    )
    print(result["messages"][-1].content)
# Sandbox is automatically deleted when the `with` block exits.

Wrapping an existing sandbox

If you already have a sandbox ID (e.g. from a previous session), pass it directly. The sandbox will not be auto-deleted on exit:

backend = GatanaSandbox(client=client, sandbox_id="existing-sandbox-id")
result = backend.execute("echo hello from existing sandbox")
print(result.output)

Running commands directly

You can call execute() without creating an agent:

with GatanaSandbox(client=client) as backend:
    result = backend.execute("python --version")
    print(result.output)   # e.g. "Python 3.12.0\n"
    print(result.exit_code)  # 0

Uploading and downloading files

Seed the sandbox with files before the agent runs, or retrieve artifacts afterwards:

with GatanaSandbox(client=client) as backend:
    # Upload files into the sandbox
    backend.upload_files([
        ("/src/main.py", b"print('Hello')\n"),
        ("/pyproject.toml", b"[project]\nname = 'my-app'\n"),
    ])

    # Run the agent or execute commands...
    backend.execute("cd /src && python main.py")

    # Download artifacts from the sandbox
    results = backend.download_files(["/src/main.py"])
    for r in results:
        if r.content is not None:
            print(f"{r.path}: {r.content.decode()}")
        else:
            print(f"Failed to download {r.path}: {r.error}")

Development

This package is part of the gatana-python monorepo. See the root CONTRIBUTING.md for setup instructions.

License

MIT — Copyright (c) 2026 Gatana