AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
As multi-agent AI systems are increasingly deployed in real-world settings - from automated customer support to DevOps remediation - failures become harder to diagnose due to cascading effects, hidden dependencies, and long execution traces. We present AgentTrace, a lightweight causal tracing framework for post-hoc failure diagnosis in deployed multi-agent workflows. AgentTrace reconstructs causal graphs from execution logs, traces backward from error manifestations, and ranks candidate root causes using interpretable structural and positional signals - without requiring LLM inference at debugging time. Across a diverse benchmark of multi-agent failure scenarios designed to reflect common...
| Authors | Zhaohui Geoffrey Wang |
|---|---|
| Primary category | cs.LG |
| Published | 16 March 2026 |
| Last updated at source | 27 March 2026 |
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