Token spend out of control?
LLM agents can burn millions of tokens on a single task. They put a model in a loop, resend the full context every step, and usually call the most expensive model available. Costs scale fast.
Ravok provides routing to on-prem and frontier models, so each request runs on the model it actually needs.
One entry point, many providers
The first problem is the entry point. Normally each model provider has its own request format, so using several models means writing separate code for each. A single entry point gives you one standard request format, and the router translates that into whatever the chosen provider expects, sends it, and translates the response back.
You write in one format. The router talks to all the providers for you. Without this, routing between models is not practical in the first place.
Which model should a request use?
The second problem is the decision: which model should a given request use? In practice, the decision is handled in two ways.
Route on a known signal
If the system already knows what kind of work a request is, it can map that kind of work to a model. A request known to be a planning task maps to a strong reasoning model. A request known to be a simple edit maps to a cheap one.
This is reliable and almost free to run, because the decision is just a lookup. The catch is that you need a trustworthy signal to begin with.
Predict from the request
The system reads the request, judges how hard it is, and picks the cheapest model likely to answer it well. This works even when you have no prior signal about the request.
The cost is that the prediction has to be learned from data and kept current as models change. A wrong guess sends a hard request to a model that cannot handle it.
Most real systems use one entry point with one of these two decision methods on top. The entry point gives access to many models. The decision technique picks among them.
How much routing actually saves
Routing saves money because most requests do not need a frontier model, and cheap models have gotten good enough to handle them. The saving is the gap between the frontier price you would have paid and the cheaper price you actually paid, summed over every request that did not need the expensive model.
Runs where you run — even fully disconnected
Ravok deploys on-premise with no cloud dependency, with virtual-key authentication, model aliasing, and usage metering built in. The same gateway that keeps your token spend under control also works in completely disconnected and air-gapped environments.
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