GoKawiilJev-driven pipeline diagnoses 76% of SREGym-Lite faults without an LLM agent
The research team built a diagnosis pipeline that uses Jev, a lightweight decision-making tool, to analyze Kubernetes cluster evidence without any LLM agent involved. The pipeline programmatically collects cluster objects, events, logs, and resource data, then has Jev select likely root causes and supporting evidence to assemble a diagnosis report. Tested across 21 SREGym-Lite faults, the pipeline passed 80 of 105 diagnoses (76.2%) with a median diagnosis time of 14.6 seconds.