Trigger
Every model request sent through a Featherlane AI gateway route.04
AI inference spend
Put a hard ceiling on model usage.
Route OpenAI-compatible model traffic through Featherlane AI to meter cost, warn before the limit, and stop new requests before provider spend crosses the cap.
What breaks
An agent loop, user, or team keeps consuming tokens while the provider dashboard only explains the bill after the fact.Control point
Customer-owned model pricing, a visible usage dashboard, an 80% alert, and a hard cap enforced before the upstream call.01Your app
→02Featherlane AI gateway
→03Budget decision
→04Model provider
How it works
- 01Route
Keep the client shape you already use
Point the OpenAI-compatible base URL at Featherlane AI. The route binds the caller, agent, model, and provider without changing the chat payload.
- 02Meter
Turn tokens into attributable spend
Price and usage are recorded by model, principal, request, and budget window so the operator can see who consumed what.
- 03Warn
Fire the 80% threshold once
A budget alert warns the team while there is still room to investigate. The alert informs; it does not replace enforcement.
- 04Stop
Reject the request before provider spend
When the hard cap would be exceeded, Featherlane AI returns budget_exceeded and never forwards the request upstream.