Researchers from Berkeley introduced SCIPE, a lightweight tool that conducts error analysis on LLM chains. The tool helps developers find underperforming nodes in their applications by analyzing inputs and outputs for each node in the chain. SCIPE identifies the most important node to fix, which can significantly improve the final output accuracy. It works without requiring labeled data or ground truth examples. Developers can use failure probabilities of problematic nodes up the LLM chain to explore what's causing the issues and how to fix them.