stepfinder

StepFinder is a lightweight framework that uses LLMs only in the feature construction phase to encode execution logs into temporal semantic sequences, then applies parameter-efficient temporal and attention modules for failure attribution in multi-agent systems. It reduces inference time by 79% compared to the fastest LLM-based method on the Who&When benchmark.