LLM router and gateway in one layer
An LLM router selects a model. An AI gateway centralizes access, policies, and observability. Laminarity combines both so teams can manage model choice and production operations together.
LLM routing
LLM routing and AI gateway for production teams
Laminarity is an LLM routing layer for applications that need one API gateway, multiple model providers, lower cost, failover, and request-level visibility.
Works with common developer tools
Use Laminarity with OpenAI-compatible SDKs and agent frameworks. The integration can be a base URL change for many applications.
Designed for live traffic
Routing is useful when providers have outages, prices change, or workloads include both simple and complex prompts. Laminarity gives teams controls for these conditions.
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 an LLM router?
An LLM router chooses which large language model should handle a request. It can use cost, speed, quality, fallback, and policy signals.
Is an LLM gateway different from an LLM router?
A gateway centralizes access and controls. A router makes model-selection decisions. Production teams often need both.