#system-reliability2 articles

2 articles

AINeutralarXiv – CS AI · 4h ago5

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Demystifying the Lifecycle of Failures in Platform-Orchestrated Agentic Workflows

Researchers present AgentFail, a dataset of 307 real-world failure cases from agentic workflow platforms, analyzing how multi-agent AI systems fail and can be repaired. The study reveals that failures in these low-code orchestrated AI workflows propagate differently than traditional software, making them harder to diagnose and fix.

AINeutralarXiv – CS AI · 4h ago6

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LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems

Researchers have developed LumiMAS, a comprehensive framework for monitoring and detecting failures in multi-agent systems that incorporate large language models. The framework features three layers: monitoring and logging, anomaly detection, and anomaly explanation with root cause analysis, addressing the unique challenges of observing entire multi-agent systems rather than individual agents.