feat: Add CometAPI as a model provider integration, supporting model retrieval and processing.

[TensorNull]

CometAPI Integration PR

Context

Added complete CometAPI integration to Kilo Code, providing users with access to 500+ AI models through CometAPI's unified interface. This integration includes dynamic model fetching, intelligent model filtering, and a comprehensive settings UI with debugging capabilities.

Implementation

Core Integration Components:

1. Dynamic Model Fetching (src/api/providers/fetchers/cometapi.ts)

   • Implements real-time model fetching from CometAPI's /v1/models endpoint
   • Intelligent model filtering to exclude non-text generation models (image, video, audio, TTS)
   • Smart context window inference based on model name patterns
   • Graceful fallback to static models on API failures

2. WebView Message Handler Integration

   • Updated webviewMessageHandler.ts to include CometAPI in router model fetching
   • Proper authentication and error handling for API requests

3. UI Components and Hooks

   • Enhanced useSelectedModel hook with CometAPI parameter support
   • Updated useProviderModels hook to handle CometAPI models
   • Comprehensive CometAPI settings component with debugging UI
   • Real-time model status monitoring and error reporting

4. Model Filtering Strategy

   • Filters out image generation models (DALL-E, Stable Diffusion, Flux, etc.)
   • Excludes TTS models (tts*), video generation (veo*, runway*, kling_*), audio generation (suno*), and MidJourney (mj_*) models
   • Maintains focus on text/code generation models only

Key Design Decisions:

• Removed maxTokens field to avoid displaying inaccurate token limits (CometAPI doesn't provide this data)
• Hybrid approach combining dynamic API models with static fallbacks
• Extensive debugging UI for troubleshooting API integration issues
• Smart model categorization based on naming patterns and known model families

Screenshots

before	after
No Supports for CometAPI	Now supports CometAPI with 500+ models including Claude, GPT-5, Qwen, Gemini, etc.
Limited model selection	Filtered, curated list of text generation models only

How to Test

1. Setup CometAPI Integration:

   • Go to Settings → API Providers
   • Select "CometAPI" from the provider dropdown
   • Enter your CometAPI key from https://api.cometapi.com/console/token
   • Optionally configure custom base URL if needed

2. Verify Dynamic Model Loading:

   • With API key configured, you should see debug information showing "✅ Success" status
   • Debug panel should display the actual number of models fetched (typically 300-400 after filtering)
   • Model dropdown should populate with filtered text generation models

3. Test Model Selection:

   • Select a model from the filtered list (e.g., "claude-3-5-sonnet-20241022", "qwen3-coder", "gpt-4o-mini")
   • Verify the selected model appears in the bottom-left corner of the main interface
   • Create a new task and confirm the selected CometAPI model is used

4. Test Error Handling:

   • Try with an invalid API key - should show error status and fall back to static models
   • Try without network connection - should gracefully handle failures

5. Verify Model Filtering:

   • Confirm that image generation models (DALL-E, Stable Diffusion) are not visible
   • Verify TTS, video generation (Runway, Kling), and audio models (Suno) are filtered out
   • Only text/code generation models should be available for selection

Get in Touch

Available for questions about this integration. The implementation includes extensive debugging capabilities and error handling to ensure smooth user experience and easy troubleshooting.

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Latest commit: 9b30e85

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[TensorNull]

@chrarnoldus Perhaps this time it will work.😊
+1

[TensorNull]

Hello, @Juice10 @kevinvandijk @drakonen @beatlevic @mrubens
@saoudrizwan
I have update the PR to the lastest commits.
Please let me know if anything else is needed.

Best regards.