Stijnus
b5d9055851
🔧 Fix Token Limits & Invalid JSON Response Errors (#1934)
ISSUES FIXED:
- ❌ Invalid JSON response errors during streaming
- ❌ Incorrect token limits causing API rejections
- ❌ Outdated hardcoded model configurations
- ❌ Poor error messages for API failures
SOLUTIONS IMPLEMENTED:
🎯 ACCURATE TOKEN LIMITS & CONTEXT SIZES
- OpenAI GPT-4o: 128k context (was 8k)
- OpenAI GPT-3.5-turbo: 16k context (was 8k)
- Anthropic Claude 3.5 Sonnet: 200k context (was 8k)
- Anthropic Claude 3 Haiku: 200k context (was 8k)
- Google Gemini 1.5 Pro: 2M context (was 8k)
- Google Gemini 1.5 Flash: 1M context (was 8k)
- Groq Llama models: 128k context (was 8k)
- Together models: Updated with accurate limits
�� DYNAMIC MODEL FETCHING ENHANCED
- Smart context detection from provider APIs
- Automatic fallback to known limits when API unavailable
- Safety caps to prevent token overflow (100k max)
- Intelligent model filtering and deduplication
🛡️ IMPROVED ERROR HANDLING
- Specific error messages for Invalid JSON responses
- Token limit exceeded warnings with solutions
- API key validation with clear guidance
- Rate limiting detection and user guidance
- Network timeout handling
⚡ PERFORMANCE OPTIMIZATIONS
- Reduced static models from 40+ to 12 essential
- Enhanced streaming error detection
- Better API response validation
- Improved context window display (shows M/k units)
🔧 TECHNICAL IMPROVEMENTS
- Dynamic model context detection from APIs
- Enhanced streaming reliability
- Better token limit enforcement
- Comprehensive error categorization
- Smart model validation before API calls
IMPACT:
✅ Eliminates Invalid JSON response errors
✅ Prevents token limit API rejections
✅ Provides accurate model capabilities
✅ Improves user experience with clear errors
✅ Enables full utilization of modern LLM context windows