- 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.
- Updated variable, function, and struct names from `FormProtocol` to `FromProtocol` for clarity.
- Adjusted related payload matching and normalization logic.
- Updated tests and examples to align with the new naming convention.
- Introduced `resolvePayloadRulePaths` function to dynamically resolve rule paths supporting array queries and complex logic.
- Updated payload processing logic (`apply defaults`, `overrides`, `filters`) to handle resolved paths for better flexibility.
- Added helper functions for path parsing, query matching, and logical resolution to improve modularity and reusability.
- Introduced payload condition match logic, including `match`, `not-match`, `exist`, and `not-exist` rules in `PayloadConfig`.
- Enhanced `payloadModelRulesMatch` function to support conditional checks at various levels.
- Added helper methods for evaluating JSON path conditions and values.
- Updated tests to validate new conditional rules against different payload scenarios.
- Added `namespace` tool type support, enabling nested tools to be normalized and moved to the top level.
- Refactored tool normalization logic into `normalizeXAITool` for reusability and clarity.
- Updated `xai_executor` test cases to validate namespace tool handling and nested tool normalization.
- Added `namespace` tool type support, enabling nested tools to be normalized and moved to the top level.
- Refactored tool normalization logic into `normalizeXAITool` for reusability and clarity.
- Updated `xai_executor` test cases to validate namespace tool handling and nested tool normalization.
- Relocated Codex client model JSON and related logic from `openai` package to `registry` for better modularity.
- Updated references to use `registry.GetCodexClientModelsJSON()` in loading logic.
- Extended test cases to cover additional field removals (`upgrade`, `availability_nux`).
- Added `normalizeXAIInputReasoningItems` to clean up `input` reasoning items, removing null `content` and `encrypted_content` fields.
- Updated `xai_executor` test cases to validate input normalization and reasoning item handling.
- Introduced Codex client models framework in `openai` package.
- Added JSON-based model definitions (`codex_client_models.json`) for Codex, including metadata, reasoning levels, and configuration options.
- Implemented handlers to load, clone, and build Codex client models with support for visibility overrides and metadata application.
- Enabled sorting and prioritization of models based on configuration or runtime criteria.
- Added utility functions for managing and validating model attributes.
- Introduced new xAI `grok-imagine-video` model for video generation with configurable options (e.g., duration, size, resolution).
- Implemented video-specific API endpoints (`/v1/videos`, `/v1/videos/generations`, `/v1/videos/edits`, `/v1/videos/extensions`), including request validation and model handling.
- Enhanced model registry with `xaiBuiltinVideoModelID` and metadata for video capabilities.
- Added unit tests to validate video model support, request structures, and API response handling.
- Extended `XAIExecutor` to integrate video generation and retrieval via runtime requests.
- Added new xAI Grok image models (`grok-imagine-image`, `grok-imagine-image-quality`) with high-fidelity and aspect ratio configurations.
- Extended `isSupportedImagesModel` logic to validate xAI models.
- Implemented API request builders for image generation/editing with customizable options (e.g., resolution, aspect ratio, response format).
- Enhanced `/v1/images` endpoints to handle xAI model capabilities, including response normalization and model-specific handlers.
- Updated unit tests to validate xAI model validation, request structure, and API integration.
- Implemented xAI OAuth2 integration with PKCE (Proof Key for Code Exchange) support.
- Added logic for token exchange, refresh, and persistent storage in JSON format.
- Created `xai` package with helpers for OAuth discovery, API token handling, and URL building.
- Introduced `XAIExecutor` for integrating xAI credentials into runtime HTTP requests.
- Added unit tests to validate OAuth flow, token persistence, and endpoint validation.
- Added `parseClusterNodesPayload` for streamlined cluster node parsing.
- Introduced `handleSubscriptionPayload` to handle Redis channel payloads, including updates for the new `cluster` channel.
- Updated subscription logic to process and apply cluster node updates seamlessly.
- Added `zstd` decoding support in request logging, including helper functions to process `Content-Encoding` headers.
- Enhanced config diff logic to compare payload-specific rules and track changes in payload configurations.
- Added tests to validate `zstd` decoding and payload diff behavior.
