It's hard to govern AI in production because you can't test every input. HIF measures how models behave — not just what they say — surfacing behavioral drift before it becomes a compliance problem.
Token-level entropy metrics run continuously on every LangSmith trace. Stability, Breadth, Caution — and four more — scored on every LLM step.
Low Caution scores surface confident-sounding responses in high-uncertainty domains. The failure mode that looks fine until it isn't.
LangSmith evaluator integration fires alerts when behavioral metrics cross governance thresholds — no code changes to your pipeline.