Qu'est-ce que LLM Routing ?
Automatically selecting the most cost-effective LLM for each request based on complexity and requirements.
LLM routing is the practice of dynamically selecting which language model handles a given request. Rather than sending all requests to a single model, a router evaluates each request and assigns it to the most appropriate model based on criteria like complexity, required quality, latency constraints, and cost.
A simple Q&A query might be routed to a fast, cheap model like GPT-4o mini, while a complex reasoning task is sent to GPT-4o or Claude 3.5 Sonnet. This approach can reduce average cost per request by 30–60% without sacrificing quality on tasks that require it.
GateCtr's Model Router uses semantic complexity scoring to make routing decisions automatically. Pass model: "auto" and GateCtr handles the rest.
GateCtr gère llm routing automatiquement sur chaque appel API — sans configuration requise. Les résultats sont visibles en temps réel dans le dashboard GateCtr, avec des détails par requête sur les tokens, le coût et les économies.
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