The model did not break. The upstream team renamed a column, and the model kept running — silently feeding a now-empty (or misaligned) feature into every prediction, with no error, no crash, and no obvious symptom until someone notices the metrics have quietly degraded.
Outliers are data points that differ significantly from other observations. Data validation ensures your data meets expected criteria before analysis.
withstructuredoutput wraps a chat model so it returns a validated Pydantic object instead of prose you then have to parse. The provider enforces the schema at generation time (constrained decoding or native tool-calling), which is far more reliable than parsing free-form output after the fact.