- Introduced `service_tier` metadata key to capture client-requested service tiers.
- Updated usage records, context propagation, and plugins to include service tier data.
- Added default handling logic for cases where `service_tier` is absent.
- Implemented tests for `service_tier` extraction, defaults, and updates across components.
- Updated `TotalTokens` calculation to account for `CacheReadTokens` and `CacheCreationTokens`.
- Added tests to validate accurate token aggregation and fallback behavior for `CachedTokens`.
- Added `assertFileBodySourceCleaned` helper to streamline cleanup validations in tests.
- Introduced handling to recreate missing directories during file source operations.
- Enhanced tests to verify behavior after manual directory removal, ensuring robustness.
- Fixed edge cases in log file merging when parts are missing.
- Introduced Time-To-First-Token (TTFT) measurement and reporting across major executors.
- Added TTFT calculation to `UsageReporter`, including support for HTTP clients and WebSocket communication.
- Updated tests to validate TTFT tracking in streamed and non-streamed scenarios.
- Ensured integration with `usage` plugin and augmented usage records with TTFT data.
- Introduced `SetTranslatedReasoningEffort` method in `UsageReporter` to capture and log reasoning efforts from translated payloads.
- Updated executors to incorporate the new reporting functionality for handling reasoning efforts across various providers.
- Enhanced logging for thinking level extraction with new helper function `ExtractTranslatedReasoningEffort`.
- Introduced support for processing `encrypted_content` reasoning signatures in request and response translations.
- Updated `ConvertOpenAIResponsesRequestToClaude` and `ConvertClaudeResponseToOpenAIResponses` to handle reasoning signatures and summaries.
- Added tests to validate signature preservation and correct reasoning content transformation in both streaming and non-streaming scenarios.
- Refactored processing logic to ensure reasoning content flushing before user messages.
- Introduced `GPTImage2BaseModel` configuration for hosted image generation tools with validation for "gpt-" prefix.
- Added logic to dynamically resolve and apply the base model in Codex executor workflows.
- Enhanced server-sent events (SSE) implementation with keep-alive tickers and error events for stream reliability.
- Updated configuration file examples and internal documentation.
- Introduced parsing logic to handle `websockets` field in auth files.
- Extended `PatchAuthFileFields` to update `websockets` and arbitrary nested metadata fields.
- Added tests to validate `websockets` parsing, updating, and persistence.
- Introduced `FileBodySource` to support large request log sections stored in temp files.
- Added file-backed support for WebSocket timeline and API WebSocket timeline logging.
- Updated `LogRequest` and middleware to integrate optional file-backed sources.
- Implemented clean-up mechanisms to manage temporary log files after processing.
- Included `RequestID` field in `homeRequestLogPayload` for better log categorization.
- Updated `forwardRequestLogToHome` and related components to handle `RequestID`.
- Added new test cases to validate `RequestID` propagation in streaming requests.
- Added support for advanced RESP commands (`AUTH`, `SUBSCRIBE`, `RPOP`, `LPOP`) with extended functionality.
- Implemented queue operations for usage events via `RPOP` and `LPOP` commands.
- Introduced subscription handling with new Pub/Sub message features and error handling improvements.
- Updated Redis connection logic to enforce authentication requirements and validate inputs.
- Expanded related unit tests to cover new scenarios and edge cases.
- Updated `ConvertClaudeRequestToGemini` to ignore empty `text` entries during processing.
- Added unit tests to ensure empty `text` parts are skipped correctly.
Closes: #3485
- Registered `gemini-3.5-flash` model with dynamic thinking levels and extended token limits.
- Supports multiple generation methods, including cached and batch content creation.
- Added new model `gemini-3.5-flash` to the registry with enhanced intelligence and speed capabilities.
- Supports extended thinking levels (`minimal`, `low`, `medium`, `high`) and dynamic adjustments.
- Expanded generation methods, including content creation and token counting.
- Added new reasoning levels: `none`, `minimal`, and `unsupported` to Codex model configurations.
- Introduced metadata sanitization and normalization for reasoning levels in API response.
- Extended unit tests to cover reasoning levels validation and metadata sanitation logic.
- Registered new models: `gemini-3-flash-agent` and `gemini-3.5-flash-low` with detailed specifications.
- Includes support for dynamic thinking levels and extended context capabilities.
- Removed obsolete Redis protocol test cases and helper functions that were no longer relevant due to recent architecture changes.
- Streamlined remaining test files to align with updated Redis handling and connection management logic.
- Introduced `homeRedisOperationTimeout` and `homeSubscriptionReceiveTimeout` constants for configurable timeouts.
- Enhanced Redis connection options with operation timeout settings and failover mechanisms.
- Implemented subscription failover logic on heartbeat timeouts to improve resilience.
- Updated message handling to support additional Redis event types, including Pong and Subscription.
- Added support for `ClusterID`, `CAFingerprint`, and `EnrollmentSecret` in Home JWT claims.
- Implemented CA fingerprint normalization and verification for PEM and file-based certificates.
- Improved certificate request validation and error handling.
- Updated server-side logic to include `EnrollmentSecret` in certificate requests.
- Introduced OpenAI-compatible image model support in the API, enabling integration through image generation and editing endpoints.
- Added registry type for OpenAIImageModelType to classify and validate compatibility.
- Implemented request handling for OpenAI-compatible image models, including JSON and multipart formats.
- Enhanced executor methods to support OpenAI-compatible image streaming and non-streaming requests.
- Included tests to validate model registration, streaming behavior, and multipart payload formatting.
- Implemented `xAI` provider for thinking configurations with support for reasoning.effort levels.
- Registered `xAI` in available providers and updated relevant APIs for compatibility.
- Added unit tests for `xAI` provider functionality, including fallback logic for unsupported levels.
- Integrated `xAI` with executor handling and ensured conformance with OpenAI-compatible standards.
- Added APIs to store, retrieve, and clone upstream response headers in context for detailed logging.
- Updated `RecordAPIResponseMetadata`, `RecordAPIWebsocketHandshake`, and related methods to capture response headers.
- Extended `UsageReporter` to include response headers in published usage records.
- Enhanced payload tests to validate response headers' integrity and persistence.
- Refactored `usage.Record` to support optional `ResponseHeaders` field.
- Introduced `-home-jwt` flag and `HOME_JWT` environment variable to provide JWT for mTLS certificate generation.
- Added new APIs to handle certificate requests, validate JWT claims, and manage local certificate files.
- Updated Home TLS configuration to support client certificates, keys, and dynamic server name resolution.
- Simplified test server initialization by removing `newTestServerWithOptions`.
- Deleted `TestManagementLocalPasswordRejectsSpoofedForwardedFor` as spoofed IP handling is no longer applicable.
- Removed trusted proxy configuration from Gin engine setup.
- Introduced `newTestServerWithOptions` to customize server initialization in tests.
- Added `TestManagementLocalPasswordRejectsSpoofedForwardedFor` to validate security against spoofed `X-Forwarded-For` headers.
- Enabled default WebSocket authentication (`ws-auth`) in `config.example.yaml`.
- Disabled trusted proxy headers in Gin engine with appropriate logging to enhance security.
Luis Pater