cluster-skips-ml-when-under-budget

Summary

The system has a fast path for small collections: if there are few enough items that they all fit within the allowed budget, it bypasses the expensive machine learning pipeline entirely and just returns everything as-is. This means clustering overhead is only paid when there are genuinely too many items to handle directly, keeping small operations quick and cheap.