Auditable Graph-Guided Root Cause Analysis for Kubernetes Incidents
Kubernetes incidents are diagnosed reliably only when a root-cause system's reported gains come from incident evidence rather than scenario-specific shortcuts. We present Graph Traversal Agent, a graph-guided RCA agent that combines LLM reasoning with specialized tools. The model reasons over a typed evidence graph, while deterministic graph and tool operations collect evidence, bound the search, and check proposed verdicts. We map operational constraints, including read-only evidence collection, propagation-aware diagnosis, bounded execution, and independently validated verdicts, to a typed incident graph, a LangGraph traversal state machine, and a separate validation stage. On ITBench s...
| Authors | Anastasiia Kuvshinova, Seungmin Jin |
|---|---|
| Primary category | cs.SE |
| Published | 7 June 2026 |
| Last updated at source | 7 June 2026 |
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