BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems

This paper introduces BOHM, a novel method for zero-cost hierarchical attribution in compound AI systems. Unlike traditional Shapley-based methods, BOHM extracts attribution directly from routing weights, eliminating the need for internal component access and providing multi-resolution insights.