SentinelBench: A Benchmark for Long-Running Monitoring Agents
Researchers have introduced SentinelBench, a new open-source benchmark designed to evaluate AI agents on long-running monitoring tasks. The benchmark features 100 tasks across 10 synthetic web environments, simulating dynamic conditions in areas like email, finance, and professional networking. SentinelBench measures task completion, reaction time, and resource usage, aiming to differentiate agent behaviors in sustained attention scenarios. AI
IMPACT Provides a standardized method to evaluate and improve AI agent capabilities in sustained, real-world monitoring scenarios.