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Qwant AI Search Summary

Summarize Qwant search results using OpenRouter AI API.

如何安裝

您需要先安裝使用者腳本管理器擴展，如 Tampermonkey、Greasemonkey 或 Violentmonkey 之後才能安裝該腳本。

您需要先安裝使用者腳本管理器擴充功能，如 Tampermonkey 或 Violentmonkey 後才能安裝該腳本。

您需要先安裝使用者腳本管理器擴充功能，如 Tampermonkey或 Violentmonkey 後才能安裝該腳本。

您需要先安裝使用者腳本管理器擴充功能，如 Tampermonkey或 Userscripts 後才能安裝該腳本。

你需要先安裝一款使用者腳本管理器擴展，比如 Tampermonkey，才能安裝此腳本

您需要先安裝使用者腳本管理器擴充功能後才能安裝該腳本。

（我已經安裝了使用者腳本管理器，讓我安裝！）

如何安裝

你需要先安裝一款使用者樣式管理器擴展，比如 Stylus，才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展，比如 Stylus，才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展，比如 Stylus，才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

（我已經安裝了使用者樣式管理器，讓我安裝！）

作者
yodaluca23
今日安裝
0
安裝總數
3
評價
0 0 0
版本
1.0.2
建立日期
2025-06-10
更新日期
2025-06-12
尺寸
21.6 KB
授權條款
MIT
腳本執行於

Qwant AI Search Summary Userscript

This is a very experimental userscript that uses the OpenRouter.ai API to generate AI-based summaries of Qwant search results, rendered directly in the sidebar. All the built-in/preset models are free in OpenRouters so you just need to add your API key.

Note: This script is barely held together. The code is pretty bad and full of rough edges, but it works — mostly. I'm publishing this earlier than intended since I'm switching to Kagi and won’t be using Qwant anymore.

🚀 Features

  • Summarizes Qwant search results using a chosen LLM from OpenRouter.
  • Renders output with Markdown and LaTeX (via Showdown-KaTeX).
  • Caches previous results for performance and API cost savings.
  • Customizable prompt and model settings through a user menu.
  • Rudimentary cache management and error handling.
  • API key setup via prompt — no need to hardcode.

🧠 Known Limitations

  • Markdown/LaTeX formatting is inconsistent. The model sometimes messes up Markdown or LaTeX despite the detailed system prompt. There's not much I can do here, I've already put a lot of effort into writing a precise, verbose system prompt.
  • It may break at any time. Qwant's site structure might change, OpenRouter might change behavior, or the model output might just stop parsing correctly.
  • The code is messy. Honestly, it's kind of garbage. I'll try to fix it if it breaks, but no promises — I’m moving on to other things.

🔧 Setup

  1. Install this script from this GreasyFork page.
  2. Set your OpenRouter API key via the menu (Userscript > Settings).
  3. Optionally customize the AI model or prompt.

🛠️ Customization

Once installed, you can:

  • Change models (DeepSeek, Gemma, etc.)
  • Write your own prompt for the AI to follow
  • Clear or resize cache
  • Reset settings

💡 Models & Rate Limits

The userscript includes several built-in models (predefined in the UI), and you can use any model from OpenRouter—both free (:free) and paid—just by entering your API key.

To unlock better rate limits (even for free models), it's highly recommended to add at least $10 in credits:

  • < $10 credits: 50 free model requests/day
  • ≥ $10 credits: 1000 free model requests/day

🔁 All users are limited to 20 requests/minute, and extreme usage may be blocked by DDoS protection.

Just click the userscript menu button and follow the prompts.

📦 Dependencies

📜 License

MIT — use and modify freely, but please don’t expect support.

🙏 Thanks

This was built out of frustration and curiosity — if it helps you, that’s cool. But really, consider switching to Kagi if you’re looking for quality search + AI integration.

Disclaimer: This script uses third-party AI services. The summaries may be inaccurate or misleading. Always double-check important information.