AI Agent Monitoring: Loops, Errors & Costs
AI agents can loop, fail silently or burn through your budget. Send each run to ProofMyAI with one HTTP call and get a reliability score, clear issues and alerts.
The problem
⚠️ Agents get stuck calling the same tool again and again
⚠️ Tool errors hide behind a “success” status
⚠️ Costs per run creep up without anyone noticing
⚠️ Final answers claim results the tools never returned
How ProofMyAI solves it
One API call
Send the run, with goal, steps, tool calls, costs and final output, when your agent finishes. Any framework works.
Checked instantly
Loops, tool errors, empty output, budget, step and time limits, plus an AI review of whether the goal was met.
Score & alerts
Each run gets a 0–100 score; problem runs raise incidents and alerts.
Watch how to set it up
The video starts at the AI agent monitoring part of the full 3-minute tutorial.
What you get
- ✅ Loop detection
- ✅ Tool error and “ended on error” detection
- ✅ Cost, step and latency budgets
- ✅ Empty and ungrounded output checks
- ✅ Per-agent reliability and cost reports
- ✅ Works with any framework via HTTP
Questions
How do I monitor a LangChain or OpenAI agent in production?
At the end of each run, POST the run (goal, steps and final output) to the ProofMyAI API. Copy-paste snippets for JavaScript, Python and cURL are in the dashboard.
Can it stop my agent from overspending?
ProofMyAI flags every run that goes over your cost, step or time budget and alerts you, so you can fix prompts or tools before costs grow.
Try it free today
Set up in minutes. No card needed.
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