LLM Router
A self-hosted LLM routing tool that manages API calls to multiple model providers through a unified local endpoint. It supports fallback hierarchies, usage tracking, and token compression, and is compatible with the OpenAI API format.
Core Facts
Timeline (last 90 days)
LLM routing refers to the system choosing among multiple models of different sizes or capabilities when faced with a user query, in order to balance cost and quality.
LLM Router is a self-hosted LLM router that mediates between AI tools and dozens of model providers through a local endpoint, with an OpenAI-compatible proxy.
LLM Router supports a fallback tier design that can automatically switch between paid subscriptions, pay-per-token models, and free providers.
All Facts (4)
LLM routing is an inference optimization strategy that dynamically selects models based on task complexity, cost budget, and response speed requirements; open-source frameworks such as RouteLLM and LiteLLM are already exploring this direction.
65%UnverifiedLLM routing refers to the system choosing among multiple models of different sizes or capabilities when faced with a user query, in order to balance cost and quality.
50%UnverifiedLLM Router is a self-hosted LLM router that mediates between AI tools and dozens of model providers through a local endpoint, with an OpenAI-compatible proxy.
50%UnverifiedLLM Router supports a fallback tier design that can automatically switch between paid subscriptions, pay-per-token models, and free providers.
50%