The BOHM method extracts attribution trees directly from existing routing weights. This replaces expensive Shapley-based evaluations that often fail when using opaque third-party APIs or agentic orchestrators. Researchers now have a zero-cost way to track component contributions. It removes the need to evaluate arbitrary subsets, streamlining debugging for complex Compound AI systems.