Jevframe is a Python library that applies TypeSafe semantic AI inference to Pandas and Polars dataframes, enabling users to ask consistent questions about each row and receive results with probability distributions. It integrates with the typesafe-sdk for async inference and supports flexible output formats including separate columns or structured fields.