This Cloudflare Workers tool automatically adds AI-generated summaries to articles in your Miniflux RSS reader. The summaries are generated using the OpenAI API and appended to articles in a user-friendly format.

Features

Automated Summarization: Fetches unread articles from Miniflux, generates concise summaries using AI, and updates the articles with the summaries.
Customizable: Configure the list of whitelisted websites, API endpoints, and AI model parameters through environment variables.
Concurrency: Uses asynchronous Rust features to handle multiple articles concurrently, ensuring quick processing.
Cloudflare Integration: Deployed as a serverless function on Cloudflare Workers, leveraging the scalability and performance of Cloudflare's global network.
Recommended Model: Uses the Cloudflare Workers AI model @cf/qwen/qwen1.5-14b-chat-awq for generating high-quality, concise summaries.

Getting Started

Prerequisites

Rust installed
A Miniflux instance with API access
An OpenAI account with access to the model endpoint
A Cloudflare account

Installation

Clone the repository:

git clone https://github.com/yourusername/miniflux-ai.git
cd miniflux-ai

Deploy to Cloudflare Workers:
```
npx wrangler deploy
```

Configuration

The tool is configured using environment variables, which are set in the wrangler.toml file:

MINIFLUX_URL: Your Miniflux instance URL.
MINIFLUX_USERNAME: Your Miniflux username.
MINIFLUX_PASSWORD: Your Miniflux password.
OPENAI_URL: The endpoint for the OpenAI API.
OPENAI_TOKEN: Your OpenAI API token.
OPENAI_MODEL: The model ID to use for generating summaries. We recommend using the @cf/qwen/qwen1.5-14b-chat-awq model for best results.
WHITELIST_URL: A comma-separated list of website URLs that should be summarized.

Usage

The tool runs as a scheduled Cloudflare Worker, querying for unread articles every 5 minutes. If an article is from a whitelisted site and does not contain code blocks, it generates a summary and updates the article.

Contributing

Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.