Out of curiosity, how does it compare with vLLM Semantic Router?

For reference:

https://vllm-semantic-router.com/

https://github.com/vllm-project/semantic-router

vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models, https://arxiv.org/abs/2603.04444

https://github.com/vllm-project/semantic-router

For instance, does it offer similar algorithms:

- vllm-sr/auto: efficient, fast, balanced routing, similar in spirit to Fugu // Sakana Fugu — Multi-Agent System as a Model: https://sakana.ai/fugu/ - vllm-sr/fusion: panel-style multi-model reasoning and synthesis. - vllm-sr/flow: router-native workflow orchestration - vllm-sr/remom: multi-round reasoning over one or multiple models.

FWIW, it does look good on https://routeworks.github.io/leaderboard

Ref.

RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers, https://arxiv.org/abs/2510.00202, https://github.com/RouteWorks/RouterArena