code-interpreter

## 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.