Know when your AI agents hang, loop, or burn budget silently
NotiLens monitors LLM pipelines and autonomous agents for silent hangs, runaway loops, token budget overruns, and human approval blocks — giving your team full observability over every agent lifecycle.
AI agents fail in ways no one expects
Agents don't throw 500 errors when they're stuck. They just stop producing output — silently consuming compute and API budget while your pipeline sits frozen.
Agent looped silently for hours
Your agent was cycling through the same steps with no advancement. It didn't raise an exception — it just ran. You found out when the OpenAI bill arrived with a $340 charge for a single stuck run.
Task queue silently empty
The upstream service stopped pushing jobs to your agent queue. The agent was idle, polling an empty queue, and no one noticed for 2 hours. Thousands of records went unprocessed.
Token budget burned, no output
A prompt regression caused 10x token usage per request. By the time you checked your dashboard, the weekly budget was gone — and 91% of that spend produced nothing useful.
Full observability over every agent run
NotiLens gives AI teams the equivalent of a watchdog process — always watching, always ready to alert when something breaks the expected lifecycle pattern.
Agent lifecycle monitoring
Send start, progress, and completion events from your agent. NotiLens tracks the full lifecycle and alerts if a completion event never arrives within your expected window.
Loop detection
Set a loop threshold — alert if the same agent fires more than N times in a window with no completed output. NotiLens tracks event frequency and fires immediately when crossed, before your API bill climbs.
Token & cost anomaly alerts
Track token usage and API cost events per agent run. Get alerted the moment a run exceeds your expected token budget — before it burns through your monthly allocation silently.
Broken flow detection
Define multi-step flows like agent.started → agent.completed. If the completion never fires within your window, NotiLens alerts you before the downstream pipeline stalls silently.
Human approval block alerts
When an agent enters a human-in-the-loop wait state, NotiLens starts a silence window. If approval doesn't arrive in time, your team is paged — so tasks don't stall unattended for hours.
Multi-agent team alerting
Each agent gets its own NotiLens topic with independent alert rules, subscribers, and thresholds. Route loop alerts to engineers and approval alerts to the right team member — across unlimited agents.
What NotiLens sends your AI team
Precise, contextual, and actionable — pushed to your phone the moment it happens.
A silent agent is not the same as a healthy agent.
When an AI agent hangs or loops, it doesn't raise an exception — it just stops making progress. NotiLens detects the silence between your start event and your expected completion, and alerts you before you've wasted hours of compute and API budget.
Add observability to every agent you run
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