Spend control for model APIs
Subscriptions, credentials, token quotas, and request rates in one workspace. Teams keep shipping. Finance stops guessing. Over-limit traffic never leaves the edge.
Why the switch
Seats, keys, and invoices usually live in separate consoles. Ai-Limi sits in front: one rule set, every endpoint, enforced before a token is billed.
Ceilings at workspace, team, key, and model. When an agent starts burning, we can warn, throttle, step down to a cheaper model, or refuse the call with a typed error.
Fallbacks by latency, cost, or quality. If the primary lane is saturated, traffic moves — without rewriting the app.
Issue scoped credentials with an expiry. Revoke in one click. Nobody pastes an upstream secret into a config file again.
Spend, tokens, and request rates as they happen. Alerts fire before you hit the line, not after the statement closes.
Every call records who, which key, which model, a prompt hash, and cost. Export to the warehouse you already run.
How it works
A drop-in chat completions endpoint. Keep your client libraries. We terminate TLS, check the virtual key, and stamp a trace id.
Budgets, request rates, token rates, region, and allowlists run in under 3ms. Over-limit calls never reach the upstream model.
We choose a lane, stream the answer, and write cost to the ledger. The same number shows up for engineering and finance.
From the floor
PLATFORM“Four model bills, two prepaid orgs, and a personal card nobody remembered. One hard cap later, we came in 37% under forecast.”
Mira Chen · VP of Platform
“Scoped keys for outside contractors were the unlock. They ship. We sleep.”
Jules Okonkwo · Head of Applied ML
“Rate-limit storms used to page the on-call. Now they page the agent that caused them.”
Priya Shah · Site reliability
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