Cerebe / Cognitive / LLM router

LLM router

Route by what a request needs, not by a model name — so a product moves between providers without a code change and improves as models do.

The problem

Model names don't belong in your application.

When model names are written through an application, the choice of model becomes an application concern — and every provider change, price shift, or new release turns into edits scattered across the codebase. Which model answers a given request is a decision that should live in one place, not in a hundred call sites.

What an application should express is the capability a request needs. Which model delivers it is infrastructure.

How it works

Ask for a capability; the router picks the model.

The router lets a request ask for a capability — fast reasoning, long context, structured output — and picks the model that serves it, across providers, behind a single surface. Swapping or upgrading a model is a routing decision, not an application change, and per-tenant overrides let different customers be served by different models without forking the code.

Because selection is by capability, the router keeps a product current: when a new model improves a capability, requests for that capability move to it, and the application inherits the improvement without a release.

  • Requests declare a capability — fast reasoning, long context, and so on — not a specific model
  • The router selects the model that serves it best, and can move between providers
  • No application code changes when a model is swapped or upgraded
  • Per-tenant overrides, so different customers can be served differently
  • When a better model ships for a capability, the router adopts it

Stay on the best model, without the rewrites.

The router is one of the components our Services team builds AI-native products on. Tell us what you're building.