Skip to content

Latest commit

 

History

History
87 lines (61 loc) · 2.44 KB

File metadata and controls

87 lines (61 loc) · 2.44 KB

🎯 Quick Answer: DeepSeek API Endpoints

Question: Should we use https://api.deepseek.com/beta/completions for code completions?

Answer: NO - We're already using the correct endpoint!


TL;DR

What ProxyMe Uses (Correct):

  • Endpoint: /v1/chat/completions
  • Purpose: Chat mode, conversations, AI Assistant
  • Status: Working perfectly!

What ProxyAI Uses (Different use case):

  • Endpoint: /beta/completions (FIM - Fill-In-Middle)
  • Purpose: Inline code autocomplete (like GitHub Copilot)
  • Not needed for Chat mode integration

The Two DeepSeek APIs

1. Chat Completions API ✅ (What we use)

POST https://api.deepseek.com/chat/completions
  • For: Conversations, Q&A, Chat mode
  • Input: Messages array
  • Output: Conversational responses
  • ProxyMe Status: ✅ USING (Correct!)

2. FIM Completions API (What ProxyAI screenshot shows)

POST https://api.deepseek.com/beta/completions
  • For: Inline code completion (autocomplete as you type)
  • Input: Prompt + suffix
  • Output: Code completion text
  • ProxyMe Status: ❌ Not needed

Why You're Seeing /beta/completions in ProxyAI

ProxyAI uses a different architecture:

  • They have their own custom chat window
  • They implement inline code completion separately
  • They use FIM for autocomplete features

ProxyMe uses a better architecture:

  • ✅ Native Rider AI Assistant integration
  • ✅ No custom UI needed
  • ✅ Works with Rider's built-in features
  • ✅ Cleaner user experience

Quick Edit Mode Issue (Different Problem)

The Quick Edit issue you're experiencing is NOT about the endpoint.

The Real Problem:

  • ✅ Endpoint is correct (/chat/completions)
  • ❌ Response format is the issue
  • Rider expects XML patches: <llm-patch>...</llm-patch>
  • AI models return conversational text instead

See: DEEPSEEK_API_ENDPOINTS.md for full analysis and solutions.


Conclusion

Keep doing what you're doing!

The /chat/completions endpoint is perfect for Rider AI Assistant Chat mode integration. Don't switch to /beta/completions unless you want to build a completely different feature (inline autocomplete).

Focus areas:

  1. ✅ Chat mode - Already working!
  2. ⚠️ Quick Edit - Needs format translation (not endpoint change)
  3. 🔜 Inline completion - Future feature (would use /beta/completions)

For detailed technical analysis, see: DEEPSEEK_API_ENDPOINTS.md