README.md

metadata

title: cursor-ai-proxy
emoji: 🔥
colorFrom: purple
colorTo: purple
sdk: docker
sdk_version: 3.0.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Cursor AI Proxy with Checksum

This is a modified version of the Cursor AI proxy that includes a checksum mechanism for enhanced security.

Features:

• Proxies requests from Cursor to OpenAI API.
• Fetches the latest checksum from https://cc.wisdgod.com/get-checksum every 3 hours.
• Verifies the checksum of incoming requests on the /hf/v1/chat/completions endpoint.

How to Use:

1. Set the CURSOR_CHECKSUM Environment Variable:
   • In your Hugging Face Space's Settings, go to "Repository secrets" and add a new secret:
     • Name: CURSOR_CHECKSUM
     • Value: You can set an initial checksum value here, or leave it blank to initially rely on the value fetched from https://cc.wisdgod.com/get-checksum.
2. Deploy to Hugging Face Spaces:
   • Commit and push the hf.js and Dockerfile to your Hugging Face Space's Git repository.
   • Hugging Face will automatically build and deploy your application.

Checksum Verification:

• The application fetches the latest checksum from https://cc.wisdgod.com/get-checksum on startup and every 3 hours.
• Incoming requests to /hf/v1/chat/completions are checked against the current checksumValue.
• If the checksum doesn't match, a 400 Invalid checksum error is returned.

Important Notes:

• The verifyChecksum() function in hf.js is a placeholder. You need to implement the actual checksum verification logic based on your security requirements and how Cursor sends data.
• The current example uses a simple string comparison for demonstration purposes. You should use a robust cryptographic algorithm like HMAC for production environments.

Disclaimer:

This modified proxy is provided as-is. Use it at your own risk. Always thoroughly test your code and security measures before deploying to production.