Route by request, not by habit
Different prompts need different models. Laminarity can route by quality, cost, latency, policy, and provider availability so teams do not have to manually tune each application.
AI model routing
AI model routing for cost, quality, and reliability
AI model routing sends each prompt to the best eligible model instead of hard-coding every request to one provider. Laminarity makes that routing available through one production API.
Keep one integration
Laminarity keeps an OpenAI-compatible API surface while routing across supported models from OpenAI, Anthropic, Google, and other providers in the catalog.
Operate with controls
Teams can set routing priorities, provider rules, price policies, API keys, request logs, and spending controls from the console.
Why Laminarity
One API for routing, controls, and visibility
Laminarity gives teams an OpenAI-compatible model routing API, production model catalog, routing controls, fallback behavior, request logs, and cost analytics in one platform.
Questions teams ask
What is AI model routing?
AI model routing is the process of choosing the best model for each request based on signals such as cost, quality, latency, provider health, and policy constraints.
Why not use one model for everything?
One model is rarely best for every request. Routing helps teams avoid overpaying for simple work and can improve reliability when a provider has problems.