Intelligent model routing

Intelligent model routing for modern AI applications

Intelligent model routing uses request-level signals to choose the best available AI model for each prompt. Laminarity helps teams improve cost, quality, privacy, and reliability.

Model choice becomes automatic

Teams should not need to guess one model for every workflow. Laminarity can select from eligible models for each prompt and apply fallback when a provider is unavailable.

Policies stay enforceable

Routing must respect business rules. Laminarity can route within provider, model, privacy, and price policies set by the project.

Results stay observable

Request logs, model metadata, latency, token use, and cost data help teams understand why a model was selected and how the system performs over time.

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.

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Questions teams ask

What makes model routing intelligent?

Intelligent routing evaluates the request and operational constraints instead of using a fixed provider order or one manually selected model.

Who needs intelligent model routing?

Teams with real AI usage, multiple providers, cost pressure, reliability needs, or privacy requirements usually benefit from intelligent model routing.