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RouteLLMgithub.comRouteLLM is a framework for serving and evaluating LLM routers, enabling routing queries across multiple models or providers instead of using a single model. It offers a drop-in replacement for OpenAI’s client to route queries to cheaper models, with pretrained routers that can cut costs by up to 85% while maintaining near GPT-4 performance on benchmarks such as MT Bench. The system is extensible, allowing new routers to be added and facilitating comparisons of router performance, calibration of cost–quality thresholds, and routing to local models.
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open-source · open-source framework · open source · lightweight · cost-effective · intelligent
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Excerpts where RouteLLM appeared in the AI's answer
RouteLLM is specifically designed to serve as a lightweight controller that routes prompts between a cheaper, smaller model (like a 7B/8B parameter open model) and a heavy frontier model (like GPT-4).
RouteLLM — probably the closest match to what you mean. It’s an open-source framework from LMSYS that provides learned routers specifically for deciding whether a query should go to a strong or weak model.
Excerpts where RouteLLM appeared in the AI's answer
RouteLLM : Developed for smart model routing, this framework helps engineering teams dynamically route requests
RouteLLM: Often paired directly with an underlying AI gateway, this framework specifically optimizes cost-versus-performance
Excerpts where RouteLLM appeared in the AI's answer
RouteLLM (by LMSYS): An open-source framework specifically built for dynamic LLM routing.
RouteLLM : An open-source framework by LMSYS for serving and training your own custom learned routers
