- Fix table name casing (use lowercase 'models' instead of 'Model')
- Convert provider_model_aliases to jsonb for better performance and GIN index support
- Use jsonb_path_ops for more efficient JSONB GIN indexing
- Add dialect check to only apply jsonb conversion on PostgreSQL
- Improve downgrade migration to properly restore json column type
- Create indexes on provider_model_name and provider_model_aliases
- Optimize model lookup performance for direct match and alias resolution
- Support efficient JSONB queries on provider_model_aliases
- Replace direct GlobalModel.name lookup with ModelCacheService.resolve_global_model_by_name_or_alias()
- Support model aliases in source_model parameter
- Leverage model resolution caching for better performance
- Use ModelCacheService.resolve_global_model_by_name_or_alias() for model lookups
- Support both requested model name and resolved GlobalModel name in validation
- Track resolved_model_name for proper allow_models checking
- Improve model availability checks to handle alias resolution
- Fix transient/detached object handling in global_model merge
- Add more descriptive debug logs for alias resolution mismatches
- Clean up code formatting (line length, imports organization)
- Add resolve_global_model_by_name_or_alias() supporting direct match and alias lookup
- Support both provider_model_name and provider_model_aliases matching
- Implement caching for resolved models with TTL
- Add conflict detection when alias maps to multiple GlobalModels
- Record resolution metrics: method, cache hits, duration, conflicts
- Fallback to Python-level filtering for non-PostgreSQL databases
- Add cache invalidation methods for GlobalModel
- Add models_service.py with model query logic and caching
- Add models.py unified endpoint supporting Claude/OpenAI/Gemini formats
- Auto-detect API format based on request headers
- Support /v1/models and /v1beta/models (Gemini) paths
- Update route registration and comments
- Configure hatch-vcs for automatic version generation from git tags
- Update pyproject.toml to use dynamic versioning
- Add src/_version.py for runtime version access
- Update src/__init__.py to import version from _version
- Add __APP_VERSION__ to frontend vite config
- Add version script to frontend package.json
- Update CI workflows to trigger on version tags instead of branches
- Use app timezone instead of UTC for date calculations in dashboard routes
- Ensure consistency between stats_daily.date and timezone-aware comparisons
- Fix date calculations in cleanup scheduler to handle DST correctly
- Update log message in stats aggregator to use business date
- Configure hatch-vcs for automatic version generation from git tags
- Update pyproject.toml to use dynamic versioning
- Add src/_version.py for runtime version access
- Update src/__init__.py to import version from _version
- Add __APP_VERSION__ to frontend vite config
- Add version script to frontend package.json
- Update CI workflows to trigger on version tags instead of branches
- Use app timezone instead of UTC for date calculations in dashboard routes
- Ensure consistency between stats_daily.date and timezone-aware comparisons
- Fix date calculations in cleanup scheduler to handle DST correctly
- Update log message in stats aggregator to use business date
