- Added `opts.OriginalRequest` handling to `applyResponseInterceptors` for improved context passing.
- Introduced new test `TestApplyJSBeforeRequestUsesReturnedCtxBody` to validate JavaScript interceptor behavior.
- Updated JavaScript-based handler to safely rewrite sensitive content and headers in requests.
- Refined interceptor logic to ensure consistent state retention across request processing.
- Implemented `RequestInterceptor`, `ResponseInterceptor`, and `StreamChunkInterceptor` capabilities.
- Added `sanitizePluginMetadata` to clean metadata for RPC compatibility.
- Enhanced interceptor chaining, error handling, and test coverage.
- Updated plugin configuration to register and dispatch interceptor methods.
- Introduced support for file-backed logging of API requests and responses to handle large payloads efficiently.
- Refactored `attachWebsocketLogSources` to `attachRequestLogSources` for broader request and response handling.
- Added new methods for appending request/response data to file-backed sources and updated existing logging workflows for compatibility.
- Improved cleanup and merge logic for file-backed sources during request processing.
- Updated tests to cover newly introduced file-backed logging functionality.
Address review feedback: parse each item's type/id/call_id once with
gjson.GetManyBytes and reuse it across the dedupe loops instead of
rescanning every item up to five times. Behavior is unchanged.
The input item ID dedupe added in #3620 keeps only the last occurrence of
each item id. When an upstream reuses the same item id across a re-sent or
repaired tool call (so two function_call items share an id but carry
different call_ids), the last-wins rule can drop the function_call whose
call_id still has a matching function_call_output. The upstream then rejects
the request with HTTP 400 "No tool call found for function call output with
call_id ...", breaking every subsequent turn over the Codex WebSocket path.
Make the dedupe orphan-aware: when several input items share an id, never
replace an item whose call_id is still referenced by a tool-call output with
one that is not. This keeps a single item per id (preserving the original
intent) while ensuring retained tool calls stay paired with their outputs.
Adds a regression test covering two function_call items that share an id
where only the earlier call_id has a surviving output.
- Updated session handling to replace `Session_id` and `Conversation_id` headers with new logic ensuring consistent use of `Cache.ID` and prompt keys.
- Restored `Session_id` as a priority extraction source for `ExtractSessionID`.
- Added tests to validate case-sensitive and case-insensitive headers, canonical account header usage, and session key preservation.
- Removed legacy support for deprecated `Conversation_id` header to clean up API.
- Introduced `grok-imagine-video-1.5-preview` as a new XAI video model.
- Updated handlers, registry, and validation logic to include support for the new model.
- Enhanced test coverage to validate integration and functionality of the preview model.
- Added `applyCodexIdentityConfuse*` functions for remapping request and response payloads and headers to enhance security.
- Updated WebSocket and HTTP logic to handle identity state transformations seamlessly.
- Introduced unit tests to verify remapping and restoration of identity-related fields.
- Added `sanitizeDownstreamWebsocketFallbackRequest` to clean `generate` from payload for HTTP fallback requests.
- Implemented tests to validate payload handling logic in WebSocket-to-HTTP transitions.
Closes: #3556
- 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 WebSocket response repair tests to validate incremental preservation of response calls and outputs.
- Added new test cases for custom tool responses ensuring accurate handling of output cache and call cache.
- Refactored `repairResponsesWebsocketToolCallsWithCaches` to handle orphan outputs more consistently.
- Adjusted input filtering logic for clearer incremental repair behavior.
Closes: #3569
- 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 `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.
- 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.
- 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.
- 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.
- 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`).
- 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.
- Introduced `ReadRequestBody` helper function to support decoding request bodies based on "Content-Encoding" (e.g., `zstd`).
- Replaced `c.GetRawData()` with `ReadRequestBody` across handlers to enable decoding.
- Added test case to validate `zstd` decoding for compact responses.
- Consolidated `homeRuntimeAuths` to store a map of session-scoped auth maps, replacing `homeRuntimeAuthSessions` and `homeRuntimeAuthRefs`.
- Adjusted session cleanup logic to directly remove session-scoped auths without reference counting.
- Added `GetExecutionSessionAuthByID` to retrieve auths scoped to a specific execution session.
- Updated tests to reflect the new session-scoped caching behavior.
- Added new helper methods for OAuth session management (`RegisterOAuthSession`, `CompleteOAuthSession`, etc.).
- Introduced `WriteConfig` for persisting management configurations.
- Exported `Handler` type and `NewHandler` constructors for SDK consumers.
- Updated all references from v6 to v7 for `github.com/router-for-me/CLIProxyAPI`.
- Ensured consistency in imports within core libraries, tests, and integration tests.
- Added missing tests for new features in Redis Protocol integration.
- Introduced `UpstreamDisconnectChan` for Codex WebSocket sessions to notify downstream connections of upstream disconnections.
- Implemented `notifyUpstreamDisconnect` to signal errors and close channels on disconnect events.
- Added integration tests to validate WebSocket session behavior on upstream disconnect.
- Updated OpenAI WebSocket response handlers to properly close connections upon upstream disconnect notifications.
- Introduced methods for setting and retrieving model aliases in execution and usage contexts.
- Enhanced `UsageReporter` and related structures to include client-requested aliases.
- Updated tests to validate alias propagation and ensure correct usage reporting.
- Adjusted metadata handling in CLIProxyAPI executors to address alias integration.
- Added logic to reset `pinnedAuthID` and replay transcript on unauthorized, forbidden, or throttling errors.
- Enhanced error handling in `forwardResponsesWebsocket` with detailed status inspection.
- Introduced `shouldReleaseResponsesWebsocketPinnedAuth` to determine auth reset conditions.
- Updated state management to preserve prior request and response data during forced replay.
Fixed: #2230
- Introduced reusable utilities in `requestmeta` to manage endpoint and response status in request contexts.
- Refactored plugins and handlers to use context-based metadata, removing direct dependency on `gin`.
- Updated tests to validate new context utilities and replaced `gin`-based context handling.
Fixed: #3166
- Introduced `DisableImageGenerationMode` with support for `false`, `true`, and `chat` values.
- Updated payload handling to preserve `image_generation` on images endpoints when `chat` mode is enabled.
- Modified OpenAI image handlers (`ImagesGenerations`, `ImagesEdits`) to respect tri-state logic.
- Added unit tests for `DisableImageGenerationMode` behavior and endpoint-specific handling.
- Enhanced configuration diff logging to support `DisableImageGenerationMode`.
- Added `disable-image-generation` configuration flag to disable the `image_generation` tool globally.
- Updated payload handling to remove `image_generation` tools from request payload arrays when the flag is enabled.
- Modified OpenAI image handlers (`ImagesGenerations`, `ImagesEdits`) to return 404 when the feature is disabled.
- Enhanced configuration diff logging to track changes for the `disable-image-generation` flag.
- Added accompanying unit tests for the new feature in payload helpers and image handler logic.
- Introduced tests to ensure unsupported models are rejected in `/images/generations` and `/images/edits`.
- Added `isSupportedImagesModel` and `rejectUnsupportedImagesModel` functions for consistent model validation.
- Enhanced image handler logic to apply validation checks for model compatibility.
- Updated `buildImagesResponsesRequest` to derive `model` dynamically based on `toolJSON`.
- Adjusted streaming execution to handle dynamic model resolution across multiple contexts.
Closes: #2965
