When your AI agent fails a step and retries, you are paying for the exact same context window over and over again.
Most devs just stick a try-catch block around their LLM calls and call it a day. But tbh when an agent loops 5 times because of a hallucinated JSON schema, your cost per action just 5x'd. And standard dashboards? They just show a massive spike in "API Usage" without telling you it was a single runaway process.
I built LLMeter specifically to catch this. It tracks costs per-customer and flags anomalous retry loops in real-time. If you're running agents in production, you need to monitor this or your margins will disappear before you notice.
You can check it out at https://llmeter.org?utm_source=devto&utm_medium=article&utm_campaign=devto-stop-paying-for-failed-retries
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