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.

• Automated Summarization: Automatically processes new articles received via Miniflux webhooks, 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.

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

1. Clone the repository:

   git clone https://github.com/zhu327/miniflux-ai.git
   cd miniflux-ai

2. Deploy to Cloudflare Workers:

   npx wrangler deploy

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.
• MINIFLUX_WEBHOOK_SECRET: The secret key for validating incoming webhook requests from Miniflux.
• 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.

The tool is triggered by incoming webhook requests from Miniflux whenever new articles are available. If an article is from a whitelisted site and does not contain code blocks, it generates a summary and updates the article.

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

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