Lightweight hallucination-risk scoring for production LLM pipelines
Hallx is a practical guardrail layer that evaluates LLM responses before they are trusted in downstream systems.
It scores responses using:
schemavalidityconsistencyacross repeated generationsgroundingagainst provided context
It returns:
confidencerisk_levelissuesrecommendation
pip install hallxfrom hallx import Hallx
checker = Hallx(profile="balanced")
result = checker.check(prompt="p", response="r", context=["c"])
print(result.confidence, result.risk_level, result.recommendation)
