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Kimi CLI Example

Run Kimi Code CLI (Moonshot AI) inside an OpenSandbox container.

Start OpenSandbox server [local]

Pre-pull the code-interpreter image (includes Python 3.12+):

docker pull sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.0.1

# use docker hub
# docker pull opensandbox/code-interpreter:v1.0.1

Then start the local OpenSandbox server, stdout logs will be visible in the terminal:

uv pip install opensandbox-server
opensandbox-server init-config ~/.sandbox.toml --example docker
opensandbox-server

Create and Access the Kimi Sandbox

# Install OpenSandbox package
uv pip install opensandbox

# Run the example (requires SANDBOX_DOMAIN / SANDBOX_API_KEY / KIMI_API_KEY)
uv run python examples/kimi-cli/main.py

The script installs Kimi Code CLI (pip install kimi-cli) at runtime (Python 3.12+ is already in the code-interpreter image), then sends a simple request kimi -p "Compute 1+1=?.". Auth is passed via KIMI_API_KEY, and you can override endpoint/model with KIMI_BASE_URL / KIMI_MODEL_NAME.

Environment Variables

  • SANDBOX_DOMAIN: Sandbox service address (default: localhost:8080)
  • SANDBOX_API_KEY: API key if your server requires authentication (optional for local)
  • SANDBOX_IMAGE: Sandbox image to use (default: sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.0.1)
  • KIMI_API_KEY: Your Moonshot AI / Kimi API key (required)
  • KIMI_BASE_URL: Kimi API endpoint (optional; defaults to Kimi's official endpoint)
  • KIMI_MODEL_NAME: Model to use (default: kimi-k2.5)

References