5 silent failure modes in production AI agents (and how we instrument for them)

AI agents often fail silently in production due to issues like successful but undelivered cron jobs, tool calls that return without error signals, and suppressed inbound messages. These failures highlight the need for specialized observability tools that can track side effects rather than just runtime success, ensuring developers catch these silent issues before users experience them.

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