llm-ekg is an open-source CLI tool that monitors the health of large language models by detecting degradation and hallucinations using mathematical and signal processing techniques. It is designed for AI researchers and ML engineers who need robust, language-agnostic model evaluation.
In the LLM eval & observability space, llm-ekg takes a focused approach. It focuses on detecting and monitoring performance degradation and hallucinations in large language models without relying on NLP techniques. llm-ekg is an open-source project aimed at AI researchers and ML engineers. The project is open source (Open Source). It runs on the command line.
llm-ekg first shipped in 2026. Across PulseGate's embedding index, llm-ekg has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are LLM monitoring, degradation detection, and hallucination detection.
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