AgentSentinel Runaway Circuit Breaker

Auto-stop AI agents before they burn through model budgets, with a simple cost control panel

Problem

A small team's agent got stuck in a retry loop and burned $4,700 of a customer's model budget overnight. They charge customers monthly for usage but had no real-time visibility into per-session spend or runaway loops. Observability tools show costs but rarely enforce hard stops.

Solution

A lightweight SDK or proxy gateway records token and API spend per agent and session, enforces budget caps at session, daily, and monthly levels, and pauses the agent immediately when it detects repeated errors, retry loops, or abnormal spend velocity. A simple dashboard shows top spenders and alert history.

Users

Small B2B teams and indie developers running AI agents on their own infrastructure and billing customers by usage.

MVP

Proxy common model APIs and log per-call cost; per-session and per-day budget caps that reject requests when exceeded; duplicate-error retry detection; email or webhook alerts; single-page spend dashboard.

Revenue

Usage-based subscription (e.g., 100k calls included monthly, overage billed per call); team tier adds multi-user access and custom alert rules.

Why now

Agents are moving into production, model costs are unpredictable, and a single runaway loop is real money. Big observability tools observe but rarely enforce hard circuit breakers.