Issues Resolved:
• Issue #15: Token limits vs natural stop tokens race condition - FIXED
• Issue #16: Interactive vs server token limit policies - FIXED
Major Improvements:
• Automatic optimal token limits - no configuration needed
• Manual --max-tokens control still available when desired
• Eliminates old hardcoded 500/2000 token restrictions
• Performance gains: Up to 524x improvement for large context models
• Enhanced web client with model capabilities display and better UX
Additional Enhancements:
• Enhanced /v1/models API with context_length field
• Comprehensive test expansion: 114 → 131 tests (131/131 passing)
• Python 3.9-3.13 compatibility verified
Known Issues (Beta Status):
• Server deadlock possible under extreme concurrent model loading stress
• Workaround: Avoid simultaneous heavy model operations