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Dev tools · March 17, 2026

QueryRouter

FastAPI local router for custom browser search shortcuts.

What it does

A lightweight, local FastAPI router to create custom, YAML-configured search shortcuts for any browser. - GitHub - comiago/queryRouter: A lightweight, local FastAPI router to create custom, YAML-configured search shortcuts for any browser.

Does the same job

all alternatives →
  • instantsearch.js by Algolia2015 · ▲333

    JavaScript UI library for building great search experiences

  • RY
    Route your prompts to the best LLM2024 · unify.ai · ▲298

    Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…

  • AL
    Any-LLM – Lightweight router to access any LLM Provider2025 · github.com · ▲125

    We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!

  • Router by Ramp16d ago · router.com · ▲120

    Tokens are money. Save both.

  • Search Bar Shortcuts2021 · ▲92

    Enter keywords instead of full URLs in your browser

  • AR
    Arch-Router – 1.5B model for LLM routing by preferences, not benchmarks2025 · ▲66

    Hi HN — we're the team behind Arch (https://github.com/katanemo/archgw), an open-source proxy for LLMs written in Rust. Today we're releasing Arch-Router (https://huggingface.co/katanemo/Arch-Router-1.5B), a 1.5B router model for preference-based routing, now integrated into the proxy. As teams integrate multiple LLMs - each with different strengths, styles, or cost/latency profiles — routing the right prompt to the right model becomes a critical part of the application design. But it's still an open problem. Most routing systems fall into two…

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