- Add stream first byte timeout (TTFB) detection to trigger failover
when provider responds too slowly (configurable via STREAM_FIRST_BYTE_TIMEOUT)
- Add rate limit fail-open/fail-close strategy configuration
- Improve exception handling in stream prefetch with proper error classification
- Refactor UsageService with shared _prepare_usage_record method
- Add batch deletion for old usage records to avoid long transaction locks
- Update CLI adapters to use proper User-Agent headers for each CLI client
- Add composite indexes migration for usage table query optimization
- Fix streaming status display in frontend to show TTFB during streaming
- Remove sensitive JWT secret logging in auth service
- Introduce ProviderCompatibilityException for unsupported parameter/feature errors
- Add COMPATIBILITY_ERROR_PATTERNS to detect provider-specific limitations
- Implement _is_compatibility_error() method in ErrorClassifier
- Prioritize compatibility error checking before client error validation
- Remove 'max_tokens' from CLIENT_ERROR_PATTERNS as it can indicate compatibility issues
- Enable automatic failover when provider doesn't support requested features
- Improve error classification accuracy with pattern matching for common compatibility issues
- Remove stream_smoothing configuration from SystemConfigService (moved to handler default)
- Remove stream smoothing UI controls from admin settings page
- Add AdminClearSingleAffinityAdapter for targeted cache invalidation
- Add clearSingleAffinity API endpoint to clear specific affinity cache entries
- Include global_model_id in affinity list response for UI deletion support
- Improve CI/CD workflow with hash-based base image change detection
- Add hash label to base image for reliable cache invalidation detection
- Use remote image inspection to determine if base image rebuild is needed
- Include Dockerfile.base in hash calculation for proper dependency tracking
- Move stream smoothing parameters (chunk_size, delay_ms) to database config
- Remove hardcoded stream smoothing constants from StreamProcessor
- Simplify dynamic delay calculation by using config values directly
- Add invalidate_models_list_cache() function to clear /v1/models endpoint cache
- Call cache invalidation on model create, update, delete, and bulk operations
- Update admin UI to allow runtime configuration of smoothing parameters
- Improve model listing freshness when models are modified
- Move StreamSmoother functionality directly into StreamProcessor for better integration
- Create ContentExtractor strategy pattern for format-agnostic content extraction
- Implement intelligent dynamic delay calculation based on text length
- Support three text length tiers: short (char-by-char), medium (chunked), long (chunked)
- Remove manual chunk_size and delay_ms configuration - now auto-calculated
- Simplify admin UI to single toggle switch with auto timing adjustment
- Extract format detection logic to reusable content_extractors module
- Improve code maintainability with cleaner architecture
- Implement StreamSmoother class to split large content chunks into smaller pieces with delay
- Support OpenAI, Claude, and Gemini API response formats for smooth playback
- Add stream smoothing configuration to system settings (enable, chunk size, delay)
- Create streamlined API for stream smoothing with StreamSmoothingConfig dataclass
- Add admin UI controls for configuring stream smoothing parameters
- Use batch configuration loading to minimize database queries
- Enable typing effect simulation for better user experience in streaming responses
- Delete unused ResponseNormalizer class and its initialization logic
- Remove response_normalizer and enable_response_normalization parameters from handlers
- Simplify chat adapter base initialization by removing normalizer setup
- Clean up unused imports in handler modules
- Replace BaseHTTPMiddleware with pure ASGI implementation in plugin middleware for better streaming response handling
- Add trusted proxy count configuration for client IP extraction in reverse proxy environments
- Implement audit log cleanup scheduler with configurable retention period
- Replace plaintext token logging with SHA256 hash fingerprints for security
- Fix database session lifecycle management in middleware
- Improve request tracing and error logging throughout the system
- Add comprehensive tests for pipeline architecture
- Enhance error classifier to properly handle API key failures with fallback support
- Add error reason/code parsing for better AWS and multi-provider compatibility
- Improve error message structure detection for non-standard formats
- Refactor file logging with size-based rotation (100MB) instead of daily
- Optimize production logging by disabling backtrace and diagnose
- Clean up model validation and remove redundant configurations
- Remove unused context.py module (replaced by request.state)
- Remove provider_cache.py (no longer needed)
- Unify environment loading in config/settings.py instead of __init__.py
- Add deprecation warning for get_async_db() (consolidating on sync Session)
- Enhance database.py documentation with comprehensive transaction strategy
- Simplify audit logging to reuse request-level Session (no separate connections)
- Extract UsageService._build_usage_params() helper to reduce code duplication
- Update model and user cache implementations with refined transaction handling
- Remove unnecessary sessionmaker from pipeline
- Clean up audit service exception handling
- Replace user cache queries with direct database queries to ensure data consistency
- Fix token_type parameter in verify_token calls (access token verification)
- Fix role-based permission check using dictionary ranking instead of string comparison
- Fix logout operation to use correct JWT claim name (user_id instead of sub)
- Simplify user authentication flow by removing unnecessary cache layer
- Optimize session initialization in main.py using create_session helper
- Remove unused imports and exception variables
- Improve database pool capacity logging with detailed configuration parameters
- Optimize database session dependency injection with middleware-managed lifecycle
- Simplify plugin middleware by delegating session creation to FastAPI dependencies
- Fix import path in auth routes (relative to absolute)
- Add safety checks for database session management across middleware exception handlers
- Ensure session cleanup only when not managed by middleware (avoid premature cleanup)
- Handle both old and new aliases when invalidating cache during model updates
- Preserve cache info before deletion to properly invalidate after deletion
- Clear both Redis and in-memory caches on model changes
- Pass provider_model_name to invalidate_model_cache() when creating models
- Pass provider_model_aliases to invalidate_model_cache() when updating models
- Ensures alias-based resolve cache keys are properly cleared on model changes
- Use 'is not None' instead of truthiness check for allowed_api_formats
- Use 'is not None' instead of truthiness check for allowed_models
- Use 'is not None' instead of truthiness check for allowed_providers
- Use 'is not None' check for allowed_endpoints to distinguish empty list from None
- Fixes issue where empty whitelist (empty list) was incorrectly treated as no restriction
- Add provider_model_name and provider_model_aliases to invalidate_model_cache()
- Clear resolve cache keys for both model name and aliases when invalidating
- Also clear resolve cache in invalidate_global_model_cache() for GlobalModel names
- Handle SQLite gracefully by catching OperationalError and ProgrammingError
- Optimize fallback query to pre-filter by provider_model_name when JSONB fails
- 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
- 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
