sandboxai-client 0.0.2

Secure sandboxes for AI agents and LLMs.

SandboxAI

Unleash your AI agents ... in a sandbox!

SandboxAI is an open source runtime for securely executing AI-generated Python code and shell commands in isolated sandboxes.

• Self-host
  • Docker based single host backend
  • Kubernetes based multi-node backend (coming soon)
• Simple SDK
  • pip install sandboxai-client is all you need
  • Go SDK included
• Container based
  • You define the environment
  • Integrate with existing tooling
• Flexible control
  • Full-agency - Set the agent loose within the container
  • Limited-agency - Give the agent access to specific commands
• Open API
  • Simple RESTful interface
  • Generate your own client from the API spec

Architecture

SandboxAI was designed to fit nicely into your AI software stack.

Quickstart (Single-host)

Make sure you have docker installed.

TIP: Free alternatives to docker desktop...

• On a mac? Checkout colima.
• On linux? Use docker engine.

docker ps

Install the python client.

pip install sandboxai-client

Run a sandbox on your local machine.

from sandboxai import Sandbox

with Sandbox(embedded=True) as box:
    print(box.run_ipython_cell("print('hi')").output)
    print(box.run_shell_command("ls /").output)

Contributing

We welcome contributions to SandboxAI. See the contributing doc for more information.

Contact

Let us know about features you are interested in seeing or reach out with questions. Visit our Discord channel to join the discussion!

Or just reach out on LinkedIn if you want to connect:

• Nick Stogner
• Sam Stoelinga