Edge Case Generation Framework

A locally deployed agent framework for safety testing of autonomous systems. It adaptively generates edge case scenarios through a think–act–observe–update–continue loop, combining dual-model critic refinement with an exploration-exploitation balancing strategy to provide traceable evidence for safety certification.