Your AI agent doesn't crash. It goes quiet mid-task.
A stuck reasoning loop doesn't throw an error and doesn't exit. It just stops making progress, technically still running, silently doing nothing. Here's how to actually catch that.
Two states aren't enough for an agent.
A classic cron monitor, or a normal uptime check, is built around two outcomes: the job ran, or it didn't. That's a fine model for a script with a clear start and end. It breaks down for a multi-step AI agent, which can be alive, consuming compute, and completely stuck, with no crash and no non-200 response for anything to catch.
Give the agent a third state.
Instead of only pinging at the start and end of a run, have the agent send a lightweight heartbeat between steps. That turns "ran or didn't" into three distinct, alertable states.
Still working
Heartbeat pings are arriving on schedule between steps. Everything's progressing normally, even on a long task.
Gone quiet mid-task
The process is technically still alive, but the expected step-level ping hasn't arrived. This is the failure mode a normal monitor can't see.
Finished or failed cleanly
The run completed, successfully or with an explicit error, either way there's a clear signal instead of silence.
Adding step-level monitoring to an existing agent.
- Create a monitor and get a unique ping URL. No SDK or agent install required, it's a plain HTTP call.
- Call it between steps, not just at the start and end, wherever your agent loop naturally checks in (after each tool call, each reasoning step, or on a timer inside a long task).
- Set an expected interval with a grace period that matches how long a single step normally takes, plus some buffer for the ordinary jitter of model latency.
- Get paged on silence, not on error. If the expected ping doesn't arrive within the grace window, that's your stall alert, before a customer notices the agent went nowhere.
Common questions about agent monitoring.
How do you monitor an AI agent for silent failures?
Have the agent send a heartbeat ping between steps, not just at the start and end of a run. If a step-level ping stops arriving mid-run, that's a stall you can alert on, distinct from the agent never starting or exiting with an error.
Why don't normal uptime monitors catch a stalled AI agent?
Uptime monitors check whether a service responds. A stalled agent process is often still running and still technically alive, it's just not making progress. There's no crash, no non-200 response, and no exit code for an uptime check to catch.
What's the difference between agent monitoring and cron monitoring?
A cron job is a single scheduled script with a start and an end, so ran or didn't run covers most failure modes. An agent is a longer, multi-step loop that can get stuck partway through, so it needs a third state in between: still working, versus gone quiet.
Does this work with any agent framework?
Yes. It's a plain HTTP ping, so it works from inside any agent loop regardless of framework, as long as you can add one HTTP call between steps.
Give your agent a way to say "still here."
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