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EviRCA: Decoupling Evidence Extraction from Reasoning for Microservice Root-Cause Analysis
Root-cause analysis (RCA) is a critical yet labor-intensive task for maintaining modern microservice systems, making it an attractive target for large language models (LLMs). Recent agentic approaches allow an LLM to iteratively explore raw telemetry by generating and executing code, asking a single
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