- 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
- Track BASE_REBUILT flag to detect base image rebuilds
- Force app image rebuild when base image is rebuilt
- Prevents stale app images built with outdated base images
- Ensures consistent deployment when base dependencies change
- Add X-Accel-Buffering: no header to prevent nginx from buffering streamed content
- Ensures immediate delivery of each chunk without proxy buffering delays
- Improves real-time streaming performance and responsiveness
- Applies to both production and local Dockerfiles
- 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
- Increase chunk size from 5 to 20 characters for fewer delays
- Reduce min delay from 15ms to 8ms for faster playback
- Reduce max delay from 24ms to 15ms for better responsiveness
- Adjust text thresholds to better differentiate content types
- Apply parameter tuning to both StreamProcessor and _LightweightSmoother
- Remove complex conditional logic for short/medium/long text differentiation
- Unify text splitting to always use consistent CHUNK_SIZE-based splitting
- Rely on dynamic delay calculation for output speed adjustment
- Reduce code complexity in both main smoother and lightweight smoother
- 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
- Add Dockerfile.base.local to deps hash to detect Docker configuration changes
- Ensures deployment rebuilds when nginx proxy settings are modified
- Prevents stale Docker images from being reused after config changes
- Add gzip off directive to prevent nginx from compressing proxied responses
- Ensures stream integrity for chunked transfer encoding
- Applies to both production and local Dockerfiles
- Replace time-based throttling with background task for disconnect checks
- Remove time.monotonic() and related throttling logic
- Prevent blocking of stream transmission during connection checks
- Properly clean up background task with try/finally block
- Improve throughput and responsiveness of stream processing
- Add detection of finish_reason in OpenAI API responses to mark stream completion
- Ensures OpenAI API streams are properly marked as complete even without explicit completion events
- Complements existing completion event detection for other API formats
- Check has_completion flag before marking client disconnection as failure
- Allow graceful termination if response already completed when client disconnects
- Change logging level to info for post-completion disconnections
- Prevent false error reporting when client closes connection after receiving full response
- 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
- Add 'enabled' field to ProxyConfig for preserving config when disabled
- Mask proxy password in API responses (return '***' instead of actual password)
- Preserve existing password on update when new password not provided
- Add URL encoding for proxy credentials (handle special chars like @, :, /)
- Enhanced URL validation: block SOCKS4, require valid host, forbid embedded auth
- UI improvements: use Switch component, dynamic password placeholder
- Add confirmation dialog for orphaned credentials (URL empty but has username/password)
- Prevent browser password autofill with randomized IDs and CSS text-security
- Unify ProxyConfig type definition in types.ts
- Add proxy field to ProviderEndpoint database model with migration
- Add ProxyConfig Pydantic model for proxy URL validation
- Extend HTTP client pool with create_client_with_proxy method
- Integrate proxy configuration in chat_handler_base.py and cli_handler_base.py
- Update admin API endpoints to support proxy configuration CRUD
- Add proxy configuration UI in frontend EndpointFormDialog
Fixes#28
- 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)
Reset model selection, search query, and expanded provider state
when switching to edit mode to prevent stale UI state carrying over
from previous operations. Also ensure tieredPricing is properly set
or reset based on model data.
Add comprehensive import/export endpoints for:
- Provider and model configuration (with key decryption for export)
- User data and API keys (preserving encrypted data)
Includes merge modes (skip/overwrite/error) for conflict handling,
10MB size limit for imports, and automatic cache invalidation.
Also fix optional field in GlobalModelResponse tiered_pricing.
- Add OFFICIAL_PROVIDERS set to mark first-party vendors in models.dev
- Implement official provider marking function with cache compatibility
- Extend model metadata with family, context_limit, output_limit fields
- Improve frontend model selection UI with wider panel and better search
- Add dark mode support for provider logos
- Optimize scrollbar styling for model lists
- Update deployment documentation with clearer migration steps
- Update usage records table to display first_byte_time_ms metrics
- Improve request timeline visualization for latency tracking
- Extend usage types for new timing information
- Add extract_cache_creation_tokens utility to handle new/old cache creation token formats
- Implement defensive update strategy in StreamContext to prevent zero values overwriting valid data
- Simplify cache creation token parsing in Claude handler using new utility
- Add comprehensive test suite for cache creation token extraction
- Improve type hints in handler classes
- 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
- 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
fawney19