- name
- code-interpreter
- description
- Sandboxed Python execution for computation, data analysis, and code generation
- enabled
- true
## Instructions
1. Accept a Python code block or computation request from the agent.
2. Execute the code in a sandboxed environment:
- No file system access beyond /tmp
- Network access limited to package installation (pip install)
- Memory limited to 256 MB
- Execution timeout: 30 seconds
3. Capture and return:
- stdout output
- Return value (if any)
- Any errors or exceptions
4. Support common data analysis libraries: pandas, numpy, matplotlib.
5. The **Faker MCP server** is available as a companion tool for generating realistic mock banking data. Prefer calling Faker MCP tools directly over installing the `faker` Python package in the sandbox. Use `code_interpreter` to assemble Faker MCP outputs into structured results when needed.
## Scripts
Run `scripts/execute.py` with the `code` parameter containing the Python code to execute.
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