Traditional health checks for AI agents often fail to detect when an agent is alive but not productive, leading to misleading green status indicators. This matters because it can hide critical issues like stuck processes or infinite loops that traditional monitoring misses. To address this, implementing both liveness heartbeats and work-progress heartbeats, along with tracking cost signals for AI-driven agents, ensures more accurate health assessments.
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Ali NematiWritten by Ali
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