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Serving metrics show whether a deployment serves requests reliably and quickly. They come from the inference logs, so every deployment with logging on reports them, with no metrics stack to set up. Serving metrics tell you whether the deployment works. To learn whether its answers are good, use quality monitoring. You can also ask FAiE (Frontier AI Engineer Agent) how a deployment is doing. It reads the same metrics, and with monitoring on, it can tell you whether a problem is operational or a drop in quality.

WHAT EACH METRIC MEASURES

The deployment’s Health tab shows these metrics for the Time window you choose. Health tab with the summary metrics and the Requests, Request Latency, Time to First Token, Token Throughput, and Error Rate charts

READ THE CHARTS