Qwen Code Example
Run Qwen Code inside an OpenSandbox container through an OpenAI-compatible endpoint.
Start OpenSandbox server [local]
Pre-pull the code-interpreter image (includes Node.js):
shell
docker pull sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.1.0
# use docker hub
# docker pull opensandbox/code-interpreter:v1.1.0Then start the local OpenSandbox server, stdout logs will be visible in the terminal:
shell
uv pip install opensandbox-server
opensandbox-server init-config ~/.sandbox.toml --example docker
opensandbox-serverCreate and Access the Qwen Sandbox
shell
# Install OpenSandbox package
uv pip install opensandbox
# Export provider settings
export API_KEY=your-api-key
export BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
export MODEL_NAME=qwen3-coder-plus
# Run the example
uv run python examples/qwen-code/main.pyThe script installs Qwen Code (npm install -g @qwen-code/qwen-code@latest) at runtime, writes a project-local .qwen/settings.json inside the sandbox, and runs qwen -p "Compute 1+1 and reply with only the final number." in headless mode. The API key is injected only through the API_KEY environment variable and is not written into the repository.
Environment Variables
| Variable | Default | Description |
|---|---|---|
SANDBOX_DOMAIN | localhost:8080 | Sandbox service address |
SANDBOX_API_KEY | (optional for local) | API key if your server requires authentication |
SANDBOX_IMAGE | sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.1.0 | Sandbox image to use |
API_KEY | (required) | API key for the OpenAI-compatible provider used by Qwen Code |
BASE_URL | https://dashscope.aliyuncs.com/compatible-mode/v1 | OpenAI-compatible base URL |
MODEL_NAME | qwen3-coder-plus | Model name for Qwen Code |
References
- Qwen Code - Official repository
- Qwen Code Authentication - Provider configuration reference
- Source code on GitHub