feat: Add OpenRouter LLM binding with API compatibility fix #4
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🎯 NEW BINDING: OpenRouter Integration - Complete OpenRouter LLM binding implementation - Support for 316+ models with intelligent discovery - OpenAI-compatible API integration - Free model prioritization and smart sorting 🔧 API COMPATIBILITY: - Fixed top_k parameter issue (not supported by OpenAI-compatible APIs) - Proper error handling and retry logic - Robust model discovery and selection - Performance tracking and monitoring ✅ FEATURES: - Automatic model discovery from OpenRouter API - Intelligent model sorting (free models first) - Advanced sampling parameters (temperature, top_p, min_p, etc.) - Streaming support for real-time responses - Cost tracking and usage monitoring - Profile management for different use cases 🧪 TESTED: - Real API testing with OpenRouter credits - Free model validation (mistralai/mistral-small-3.2-24b-instruct:free) - Full integration with LOLLMS backend server - Error handling and edge cases Ready for production use with comprehensive OpenRouter support!
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🎯 OpenRouter Phase 2 - Complete Implementation
🚀 NEW BINDING: OpenRouter Integration
🔧 CRITICAL API COMPATIBILITY FIX
top_kparameter issue - OpenRouter API doesn't support this parameter (OpenAI-compatible)TypeError: Completions.create() got an unexpected keyword argument 'top_k'✅ KEY FEATURES
🧪 TESTING COMPLETED
mistralai/mistral-small-3.2-24b-instruct:free📊 RESULTS
🔒 SECURITY
Ready for production use with comprehensive OpenRouter support!
Pull Request opened by Augment Code with guidance from the PR author