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🎨 Rider IDE AI Assistant - Integration Modes

Visual Overview of Rider AI Features

┌─────────────────────────────────────────────────────────────┐
│                    RIDER IDE AI ASSISTANT                    │
└─────────────────────────────────────────────────────────────┘
                              │
         ┌────────────────────┼────────────────────┐
         │                    │                    │
    ┌────▼────┐         ┌────▼────┐         ┌────▼────┐
    │  CHAT   │         │  QUICK  │         │ INLINE  │
    │  MODE   │         │  EDIT   │         │  CODE   │
    │         │         │  MODE   │         │ COMPLETE│
    └────┬────┘         └────┬────┘         └────┬────┘
         │                   │                    │
         │                   │                    │
    ✅ WORKING          ⚠️ PARTIAL          🔜 NOT IMPL
         │                   │                    │
         │                   │                    │
    ┌────▼────────────────┐  │              ┌────▼──────────┐
    │  /chat/completions  │  │              │ /beta/        │
    │                     │  │              │ completions   │
    │  ProxyMe ✅         │  │              │               │
    │  - DeepSeek Chat    │  │              │ ProxyMe ❌    │
    │  - DeepSeek Reasoner│  │              │ (Not needed)  │
    │  - Sonar Models     │  │              │               │
    └─────────────────────┘  │              └───────────────┘
                             │
                        ┌────▼─────────────┐
                        │ /chat/completions│
                        │                  │
                        │ ProxyMe ✅       │
                        │ (Correct!)       │
                        │                  │
                        │ Issue: Response  │
                        │ format mismatch  │
                        │ (not API endpoint)│
                        └──────────────────┘

1️⃣ Chat Mode ✅ WORKING

What It Is

  • AI Assistant panel in Rider
  • Type questions, get conversational answers
  • Multi-turn dialogue
  • Code explanations, suggestions, debugging help

How It Works

User in Rider → "what time is it in london right now?"
         │
         ▼
    ProxyMe Plugin
         │
         ▼
    POST /v1/chat/completions
    {
      "model": "sonar",
      "messages": [{"role": "user", "content": "..."}],
      "stream": true
    }
         │
         ▼
    Perplexity API
         │
         ▼
    Stream response back
         │
         ▼
    Rider displays answer ✅

Status: ✅ PERFECT

  • All 7 models work
  • Streaming works
  • Real-time responses
  • No issues

2️⃣ Quick Edit Mode ⚠️ NEEDS WORK

What It Is

  • Select code in editor
  • Right-click → AI Assistant → Quick Edit
  • Ask for code modifications
  • Rider applies changes automatically

How It Works

User selects code → "remove this text"
         │
         ▼
    Rider adds system prompt with patch instructions:
    "You are an AI Coding Assistant...
     Generate responses in this format:
     <llm-patch path='file.txt'>
     Before:
     [old code]
     After:
     [new code]
     </llm-patch>"
         │
         ▼
    ProxyMe Plugin
         │
         ▼
    POST /v1/chat/completions ✅ (Correct endpoint!)
    {
      "model": "sonar",
      "messages": [
        {"role": "user", "content": "system prompt..."},
        {"role": "user", "content": "remove this text"}
      ]
    }
         │
         ▼
    AI Model (Sonar/DeepSeek)
         │
         ▼
    Response: "I'll help you remove that text..." ❌
    (Conversational text, NOT XML patch!)
         │
         ▼
    Rider tries to parse as XML patch
         │
         ▼
    ERROR: "The patch is incomplete" ❌

The Problem

  • ✅ Endpoint is correct (/chat/completions)
  • ❌ AI models ignore patch format instructions
  • ❌ Respond conversationally instead of XML
  • ❌ Rider can't parse the response

Possible Solutions

  1. Post-process responses - Convert conversational text to XML patches
  2. Enhance prompts - Stronger examples of XML format
  3. Model selection - Test which models follow format better
  4. Document limitation - Tell users to use Chat mode instead

Status: ⚠️ INVESTIGATING

3️⃣ Inline Code Completion 🔜 NOT IMPLEMENTED

What It Is

  • Type code → suggestions appear automatically
  • Fill-in-the-middle completions
  • Like GitHub Copilot
  • Real-time autocomplete

How It Would Work (If Implemented)

User types: "function fibonacci(n) {"
         │
         ▼
    IDE plugin intercepts
         │
         ▼
    ProxyMe Plugin
         │
         ▼
    POST /beta/completions ← Different endpoint!
    {
      "model": "deepseek-chat",
      "prompt": "function fibonacci(n) {",
      "suffix": "}",
      "max_tokens": 100
    }
         │
         ▼
    DeepSeek FIM API
         │
         ▼
    Response: {
      "text": "\n  if (n <= 1) return n;\n  ..."
    }
         │
         ▼
    IDE shows inline suggestion

Why Not Implemented

  • Requires different API endpoint (/beta/completions)
  • Needs custom IDE integration
  • Rider may not support third-party inline completion
  • Chat mode is more valuable
  • Complex architecture

Status: 🔜 FUTURE (If users request it)

📊 Comparison Table

Feature Chat Mode Quick Edit Inline Complete
Rider Integration ✅ Native ✅ Native ❌ Not supported
ProxyMe Status ✅ Working ⚠️ Partial 🔜 Not implemented
API Endpoint /chat/completions /chat/completions /beta/completions
Request Format Messages array Messages array Prompt + suffix
Response Format Conversational XML patches (expected) Raw text
Models Supported All 7 All 7 (format issues) DeepSeek only
Streaming ✅ Yes ✅ Yes ✅ Yes
Use Cases Q&A, explanations Code modifications Autocomplete
User Experience ⭐⭐⭐⭐⭐ ⭐⭐⭐ (needs work) N/A

🎯 ProxyMe Focus Areas

✅ Priority 1: Chat Mode (DONE)

  • Native Rider AI Assistant integration
  • 7 models available
  • Streaming works perfectly
  • Best user experience

⚠️ Priority 2: Quick Edit Mode (IN PROGRESS)

  • Endpoint is correct
  • Need to fix response format
  • Several solution options
  • Not a blocker

🔜 Priority 3: Inline Completion (FUTURE)

  • Different API endpoint needed
  • Complex integration
  • May not be supported by Rider
  • Low priority (Chat mode is better!)

💡 Why Chat Mode Integration Is Better

Traditional Approach (ProxyAI):

┌──────────────────────────────────────┐
│  ProxyAI Plugin                      │
│                                      │
│  ┌──────────────────────────────┐   │
│  │  Custom Chat Window          │   │
│  │  (Separate UI)               │   │
│  └──────────────────────────────┘   │
│                                      │
│  ┌──────────────────────────────┐   │
│  │  Custom Code Completion      │   │
│  │  (Uses /beta/completions)    │   │
│  └──────────────────────────────┘   │
└──────────────────────────────────────┘

ProxyMe Approach:

┌──────────────────────────────────────┐
│  Rider IDE (Native)                  │
│                                      │
│  ┌──────────────────────────────┐   │
│  │  AI Assistant Panel          │   │
│  │  (Built-in UI) ← ProxyMe     │   │
│  └──────────────────────────────┘   │
│                                      │
│  ✅ No custom UI needed              │
│  ✅ Native integration               │
│  ✅ Better UX                        │
└──────────────────────────────────────┘

🎊 Conclusion

You're using the correct API endpoint!

  • Chat mode: /chat/completions ✅
  • Quick Edit: /chat/completions ✅ (format issue, not endpoint)
  • Inline complete: /beta/completions (different feature, not implemented)

The /beta/completions endpoint you saw in ProxyAI is for their custom inline code completion feature, which is a completely different use case than Chat mode.

Keep focusing on Chat mode - that's where ProxyMe shines! 🚀

See also:

  • DEEPSEEK_API_ENDPOINTS.md - Detailed API analysis
  • API_ENDPOINT_SUMMARY.md - Quick reference
  • SUCCESS_AND_NEXT_STEPS.md - Current status