llmverify
VerifiedRuntime health monitor for LLM applications. Detects drift, hallucination risk, latency, and JSON quality — drop-in for any LLM client.
Frameworks Covered
NIST-AI-RMF
Services
llm-monitoringdrift-detectionhallucination-detectionoutput-validation
About llmverify
llmverify is an MIT-licensed npm package that provides runtime health monitoring for LLM applications. It offers deterministic checks for drift, hallucination risk, latency spikes, and JSON output quality. Designed as a drop-in module for any LLM client.
Features
- Drift detection across model versions
- Hallucination risk scoring
- Latency monitoring
- JSON output quality validation
- Drop-in integration with any LLM client
- Python distribution available (llmverify-py on PyPI)
Installation
npm install llmverify
Use Cases
- Production LLM application monitoring
- Compliance audit evidence generation
- CI/CD quality gates for AI outputs
- Regression testing for model updates
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