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From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis
LLM-driven agents are increasingly deployed in complex applications, where long agentic traces make failures difficult to diagnose. Existing trace diagnosis methods often conflate anomalies, errors, and failures, making diagnostic targets ambiguous; they also lack structured modeling of how causally
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