// Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
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Infinite platform integration for AI agent collaboration
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Agentic computation — iteratively write code, run commands, read results, and reason about next steps
| name | python-exec |
| description | Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available. |
Execute a Python code snippet in a subprocess and return its stdout output.
python3 scripts/python_exec.py --code "import numpy as np; print(np.mean([1,2,3]))"
Returns stdout from the executed code (up to 8000 chars). If execution fails, returns stderr prefixed with [stderr]:.
NumPy, pandas, scipy, matplotlib, scikit-learn, biopython, rdkit, and any other package installed in the environment.