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Open-source LLM router offers transparent, cost-saving model selection

A new open-source, self-hosted LLM router called OmnisRouter has been developed to provide transparency and cost savings in AI model usage. This proxy tool integrates with OpenAI, Anthropic, and Gemini APIs, allowing users to maintain their own provider keys. OmnisRouter selects the most cost-effective model capable of handling a given request and attaches a detailed receipt to each response, outlining the model chosen, its cost, and confidence level. The routing decision is made by a small ONNX model that embeds prompts and maps them to intent clusters, ensuring that expensive frontier models are only used when necessary, as validated by the companion OmnisBench benchmark. AI

IMPACT Enables cost optimization and transparency for LLM users by intelligently routing requests to the most suitable and economical models.

RANK_REASON The item describes a self-hosted proxy tool for LLM routing, not a new model release or core research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-source LLM router offers transparent, cost-saving model selection

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  1. dev.to — LLM tag TIER_1 English(EN) · Developer at Fortitude Omnis Group ·

    I built an LLM router that hands you a receipt for every request

    <p>A router that decides where your money goes is asking for a lot of trust. It sits in front of every request, quietly picks a model, and sends you a bill at the end of the month. If it tells you it saved you 60%, you mostly have to take its word for it.</p> <p>I did not want to…