Token Monitoring

The process of gathering quantitative measurements from AI systems and applications to track performance, reliability, usage, and operational health.

The continuous tracking and analysis of infrastructure, API, and model usage costs to optimize spending and detect unexpected expenses.

The total volume of prompt and completion tokens consumed during interactions with a language model.

A performance metric measuring the rate at which an inference engine generates output tokens per second.

Techniques and strategies aimed at reducing prompt and completion token counts to lower latency and operational costs.