An LLM multi-agent system using Monte Carlo Tree Search over a Fault Mining Tree reports 49-128% higher root cause localization accuracy and much lower token use than prior LLM-based RCA methods.
Micro- diag: Fine-grained performance diagnosis for microservice systems,
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The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach
An LLM multi-agent system using Monte Carlo Tree Search over a Fault Mining Tree reports 49-128% higher root cause localization accuracy and much lower token use than prior LLM-based RCA methods.