A test harness that blocks unsafe AI actions before execution
Deterministic policy matrices block AI agents from executing dangerous API calls.
Evaluate Python functions at points where they're undefined.
First library to resolve Python function singularities algebraically without symbolic expressions.
Scientific computing developers, numerical analysts, math-heavy Python users
SymPy · mpmath
To my knowledge, this is the first library that does this directly on plain Python functions.
It eliminates edge-case handling and numerical instability at singularities, you just write the function and evaluate it everywhere.
Deterministic policy matrices block AI agents from executing dangerous API calls.
Finally: XLOOKUP, FILTER, dynamic arrays in Python—openpyxl can't, xlcalc won't.
LLM evaluation guide eats its own dogfood with eval-based site design.
Comprehensive checklist, but CLAUDE.md and cursor rules already solve this locally.
DAP implementation for Python, but debugpy and Pdb already handle this.
AST-based validation for function calling tests, but BFCL already covers this ground.