You usually don't see LLM costs until the invoice arrives. Without estimates and tracking, a feature can work fine in a demo and then cost far too much in production.

This tool estimates the token cost before a request is sent, then records the real usage per endpoint, model and client. When spending gets close to a limit you set, it sends an alert.

It works out the expected cost from token counts and model prices before any API call, which helps when users need to see a price upfront.

Input and output tokens are added up by route and by time period, so it is easy to see which workflows cost the most.

Alerts fire when you get close to a daily, weekly or per-project limit. This catches runaway agents, retries and prompt loops early.

Cost per endpoint shows what each engineering choice costs, which helps with picking models, shortening prompts and planning capacity.