Causeval is a statistical evaluation layer for LLM applications built on DeepEval that adds uncertainty quantification, causal analysis, and judge validity checks to metric scores. It provides confidence intervals, variance decomposition, ablation studies, and bias audits to enable defensible decisions about LLM app performance.