* feat: add middleware support for OpenAIProvider with logging capabilities
- Introduced middleware functionality in OpenAIProvider to enhance completions processing.
- Created AiProviderMiddlewareTypes for defining middleware interfaces and contexts.
- Implemented sampleLoggingMiddleware for logging message content and processing times.
- Updated OpenAIProvider constructor to accept middleware as an optional parameter.
- Refactored completions method to utilize middleware for improved extensibility and logging.
* refactor: streamline OpenAIProvider initialization and middleware application
- Removed optional middleware parameter from OpenAIProvider constructor for simplicity.
- Refactored ProviderFactory to create instances of providers and apply logging middleware consistently.
- Enhanced completions method visibility by changing it from private to public.
- Cleaned up unused code related to middleware handling in OpenAIProvider.
* feat: enhance AiProvider with new middleware capabilities and completion context
- Added public getter for provider info in BaseProvider.
- Introduced finalizeSdkRequestParams hook for middleware to modify SDK-specific request parameters.
- Refactored completions method in OpenAIProvider to accept a context object, improving middleware integration.
- Updated middleware types to include new context structure and callback functions for better extensibility.
- Enhanced logging middleware to utilize new context structure for improved logging capabilities.
* refactor: enhance middleware structure and context handling in AiProvider
- Updated BaseProvider and AiProvider to utilize AiProviderMiddlewareCompletionsContext for completions method.
- Introduced new utility functions for middleware context creation and execution.
- Refactored middleware application logic to improve extensibility and maintainability.
- Replaced sampleLoggingMiddleware with a more robust LoggingMiddleware implementation.
- Added new context management features for better middleware integration.
* refactor: update AiProvider and middleware structure for improved completions handling
- Refactored BaseProvider and AiProvider to change completions method signature from context to params.
- Removed unused AiProviderMiddlewareCompletionsContext and related code for cleaner implementation.
- Enhanced middleware configuration by introducing a dedicated middleware registration file.
- Implemented logging middleware for completions to improve observability during processing.
- Streamlined middleware application logic in ProviderFactory for better maintainability.
* docs: 添加中间件编写指南文档
- 新增《如何为 AI Provider 编写中间件》文档，详细介绍中间件架构、类型及编写示例。
- 说明了中间件的执行顺序、注册方法及最佳实践，旨在帮助开发者有效创建和维护中间件。
* refactor: update completions method signatures and introduce CompletionsResult type
- Changed the completions method signature in BaseProvider and AiProvider to return CompletionsResult instead of void.
- Added CompletionsResult type definition to encapsulate streaming and usage metrics.
- Updated middleware and related components to handle the new CompletionsResult structure, ensuring compatibility with existing functionality.
- Introduced new middleware for stream adaptation to enhance chunk processing during completions.
* refactor: enhance AiProvider middleware and streaming handling
- Updated CompletionsResult type to support both OpenAI SDK stream and ReadableStream.
- Modified CompletionsMiddleware to return CompletionsResult, improving type safety.
- Introduced StreamAdapterMiddleware to adapt OpenAI SDK streams to application-specific chunk streams.
- Enhanced logging in CompletionsLoggingMiddleware to capture and return results from next middleware calls.
* refactor: update AiProvider and middleware for OpenAI completions handling
- Renamed CompletionsResult to CompletionsOpenAIResult for clarity and updated its structure to support both OpenAI SDK and application-specific streams.
- Modified completions method signatures in AiProvider and OpenAIProvider to return CompletionsOpenAIResult.
- Enhanced middleware to process and adapt OpenAI SDK streams into standard chunk formats, improving overall streaming handling.
- Introduced new middleware components: FinalChunkConsumerAndNotifierMiddleware and OpenAISDKChunkToStandardChunkMiddleware for better chunk processing and logging.
* 删除 ExtractReasoningCompletionsMiddleware.ts 文件，清理未使用的中间件代码以提高代码整洁性和可维护性。
* refactor: consolidate middleware types and improve imports
- Replaced references to AiProviderMiddlewareTypes with the new middlewareTypes file across various middleware components for better organization.
- Introduced TextChunkMiddleware to enhance chunk processing from OpenAI SDK streams.
- Cleaned up imports in multiple files to reflect the new structure, improving code clarity and maintainability.
* feat: enhance abort handling with AbortController in middleware chain
- Update CompletionsOpenAIResult interface to use AbortController instead of AbortSignal
- Modify OpenAIProvider to pass abortController in completions method return
- Update AbortHandlerMiddleware to use controller from upstream result
- Improve abort handling flexibility by exposing full controller capabilities
- Enable middleware to actively control abort operations beyond passive monitoring
This change provides better control over request cancellation and enables
more sophisticated abort handling patterns in the middleware pipeline.
* refactor: enhance AiProvider and middleware for improved completions handling
- Updated BaseProvider to expose additional methods and properties, including getMessageParam and createAbortController.
- Modified OpenAIProvider to streamline completions processing and integrate new middleware for tool handling.
- Introduced TransformParamsBeforeCompletions middleware to standardize parameter transformation before completions.
- Added McpToolChunkMiddleware for managing tool calls within the completions stream.
- Enhanced middleware types to support new functionalities and improve overall structure.
These changes improve the flexibility and maintainability of the AiProvider and its middleware, facilitating better handling of OpenAI completions and tool interactions.
* refactor: enhance middleware for recursive handling and internal state management
- Introduced internal state management in middleware to support recursive calls, including enhanced dispatch functionality.
- Updated middleware types to include new internal fields for managing recursion depth and call status.
- Improved logging for better traceability of recursive calls and state transitions.
- Adjusted various middleware components to utilize the new internal state, ensuring consistent behavior during recursive processing.
These changes enhance the middleware's ability to handle complex scenarios involving recursive calls, improving overall robustness and maintainability.
* fix(OpenAIProvider): return empty object for missing sdkParams in completions handling
- Updated OpenAIProvider to return an empty object instead of undefined when sdkParams are not found, ensuring consistent return types.
- Enhanced TransformParamsBeforeCompletions middleware to include a flag for built-in web search functionality based on assistant settings.
* refactor(OpenAIProvider): enhance completions handling and middleware integration
- Updated the completions method in OpenAIProvider to include an onChunk callback for improved streaming support.
- Enabled the ThinkChunkMiddleware in the middleware registration for better handling of reasoning content.
- Increased the maximum recursion depth in McpToolChunkMiddleware to prevent infinite loops.
- Refined TextChunkMiddleware to directly enqueue chunks without unnecessary type checks.
- Improved the ThinkChunkMiddleware to better manage reasoning tags and streamline chunk processing.
These changes enhance the overall functionality and robustness of the AI provider and middleware components.
* feat(WebSearchMiddleware): add web search handling and integration
- Introduced WebSearchMiddleware to process various web search results, including annotations and citations, and generate LLM_WEB_SEARCH_COMPLETE chunks.
- Enhanced TextChunkMiddleware to support link conversion based on the model and assistant settings, improving the handling of TEXT_DELTA chunks.
- Updated middleware registration to include WebSearchMiddleware for comprehensive search result processing.
These changes enhance the AI provider's capabilities in handling web search functionalities and improve the overall middleware architecture.
* fix(middleware): improve optional chaining for chunk processing
- Updated McpToolChunkMiddleware and ThinkChunkMiddleware to use optional chaining for accessing choices, enhancing robustness against undefined values.
- Removed commented-out code in ThinkChunkMiddleware to streamline the chunk handling process.
These changes improve the reliability of middleware when processing OpenAI API responses.
* feat(middleware): enhance AbortHandlerMiddleware with recursion handling
- Added logic to detect and handle recursive calls, preventing unnecessary creation of AbortControllers.
- Improved logging for better visibility into middleware operations, including recursion depth and cleanup processes.
- Streamlined cleanup process for non-stream responses to ensure resources are released promptly.
These changes enhance the robustness and efficiency of the AbortHandlerMiddleware in managing API requests.
* docs(middleware): 迁移步骤
* feat(middleware): implement FinalChunkConsumerMiddleware for usage and metrics accumulation
- Introduced FinalChunkConsumerMiddleware to replace the deprecated FinalChunkConsumerAndNotifierMiddleware.
- This new middleware accumulates usage and metrics data from OpenAI API responses, enhancing tracking capabilities.
- Updated middleware registration to utilize the new FinalChunkConsumerMiddleware, ensuring proper integration.
- Added support for handling recursive calls and improved logging for better debugging and monitoring.
These changes enhance the middleware's ability to manage and report usage metrics effectively during API interactions.
* refactor(migrate): update API request and response structures to TypeScript types
- Changed the definitions of `CoreCompletionsRequest` and `Chunk` to use TypeScript types instead of Zod Schemas for better type safety and clarity.
- Updated middleware and service classes to handle the new `Chunk` type, ensuring compatibility with the revised API client structure.
- Enhanced the response processing logic to standardize the handling of raw SDK chunks into application-level `Chunk` objects.
- Adjusted middleware to consume the new `Chunk` type, streamlining the overall architecture and improving maintainability.
These changes facilitate a more robust and type-safe integration with AI provider APIs.
* feat(AiProvider): implement API client architecture
- Introduced ApiClientFactory for creating instances of API clients based on provider configuration.
- Added BaseApiClient as an abstract class to provide common functionality for specific client implementations.
- Implemented OpenAIApiClient for OpenAI and Azure OpenAI, including request and response handling.
- Defined types and interfaces for API client operations, enhancing type safety and clarity.
- Established middleware schemas for standardized request processing across AI providers.
These changes lay the groundwork for a modular and extensible API client architecture, improving the integration of various AI providers.
* refactor(StreamAdapterMiddleware): simplify stream adaptation logic
- Updated StreamAdapterMiddleware to directly use AsyncIterable instead of wrapping it with rawSdkChunkAdapter, streamlining the adaptation process.
- Modified asyncGeneratorToReadableStream to accept AsyncIterable, enhancing its flexibility and usability.
These changes improve the efficiency of stream handling in the middleware.
* refactor(AiProvider): simplify ResponseChunkTransformer interface and streamline OpenAIApiClient response handling
- Changed ResponseChunkTransformer from an interface to a type for improved clarity and simplicity.
- Refactored OpenAIApiClient to streamline the response transformation logic, reducing unnecessary complexity in handling tool calls and reasoning content.
- Enhanced type safety by ensuring consistent handling of optional properties in response processing.
These changes improve the maintainability and readability of the codebase while ensuring robust response handling in the API client.
* doc(technicalArchitecture): add comprehensive documentation for AI Provider architecture
* feat(architecture): introduce AI Core Design documentation and middleware specification
- Added a comprehensive technical architecture document for the new AI Provider (`aiCore`), outlining core design principles, component details, and execution flow.
- Established a middleware specification document to define the design, implementation, and usage of middleware within the `aiCore` module, promoting a flexible and maintainable system.
- These additions provide clarity and guidance for future development and integration of AI functionalities within Cherry Studio.
* refactor(middleware): consolidate and enhance middleware architecture
- Removed deprecated extractReasoningMiddleware and integrated its functionality into existing middleware.
- Streamlined middleware registration and improved type definitions for better clarity and maintainability.
- Introduced new middleware components for handling chunk processing, web search, and reasoning tags, enhancing overall functionality.
- Updated various middleware to utilize the new structures and improve logging for better debugging.
These changes enhance the middleware's efficiency and maintainability, providing a more robust framework for API interactions.
* refactor(AiProvider): enhance API client and middleware integration
- Updated ApiClientFactory to include new SDK types for improved type safety and clarity.
- Refactored BaseApiClient to support additional parameters in the completions method, enhancing flexibility for processing states.
- Streamlined OpenAIApiClient to better handle tool calls and responses, including the introduction of new chunk types for tool management.
- Improved middleware architecture by integrating processing states and refining message handling, ensuring a more robust interaction with the API.
These changes enhance the overall maintainability and functionality of the API client and middleware, providing a more efficient framework for AI interactions.
* fix(McpToolChunkMiddleware): remove redundant logging in recursion state update
* refactor(McpToolChunkMiddleware): update tool call handling and type definitions
- Replaced ChatCompletionMessageToolCall with SdkToolCall for improved type consistency.
- Updated return types of executeToolCalls and executeToolUses functions to SdkMessage[], enhancing clarity in message handling.
- Removed unused import to streamline the code.
These changes enhance the maintainability and type safety of the middleware, ensuring better integration with the SDK.
* refactor(middleware): enhance middleware structure and type handling
- Updated middleware components to utilize new SDK types, improving type safety and clarity across the board.
- Refactored various middleware to streamline processing logic, including enhanced handling of SDK messages and tool calls.
- Improved logging and error handling for better debugging and maintainability.
- Consolidated middleware functions to reduce redundancy and improve overall architecture.
These changes enhance the robustness and maintainability of the middleware framework, ensuring a more efficient interaction with the API.
* refactor(middleware): unify type imports and enhance middleware structure
- Updated middleware components to import types from a unified 'types' file, improving consistency and clarity across the codebase.
- Removed the deprecated 'type.ts' file to streamline the middleware structure.
- Enhanced middleware registration and export mechanisms for better accessibility and maintainability.
These changes contribute to a more organized and efficient middleware framework, facilitating easier future development and integration.
* refactor(AiProvider): enhance API client and middleware integration
- Updated AiProvider components to support new SDK types, improving type safety and clarity.
- Refactored middleware to streamline processing logic, including enhanced handling of tool calls and responses.
- Introduced new middleware for tool use extraction and raw stream listening, improving overall functionality.
- Improved logging and error handling for better debugging and maintainability.
These changes enhance the robustness and maintainability of the API client and middleware, ensuring a more efficient interaction with the API.
* feat(middleware): add new middleware components for raw stream listening and tool use extraction
- Introduced RawStreamListenerMiddleware and ToolUseExtractionMiddleware to enhance middleware capabilities.
- Updated MiddlewareRegistry to include new middleware entries, improving overall functionality and extensibility.
These changes expand the middleware framework, facilitating better handling of streaming and tool usage scenarios.
* refactor(AiProvider): integrate new API client and middleware architecture
- Replaced BaseProvider with ApiClientFactory to enhance API client instantiation.
- Updated completions method to utilize new middleware architecture for improved processing.
- Added TODOs for refactoring remaining methods to align with the new API client structure.
- Removed deprecated middleware wrapping logic from ApiClientFactory for cleaner implementation.
These changes improve the overall structure and maintainability of the AiProvider, facilitating better integration with the new middleware system.
* refactor(middleware): update middleware architecture and documentation
- Revised middleware naming conventions and introduced a centralized MiddlewareRegistry for better management and accessibility.
- Enhanced MiddlewareBuilder to support named middleware and streamline the construction of middleware chains.
- Updated documentation to reflect changes in middleware usage and structure, improving clarity for future development.
These changes improve the organization and usability of the middleware framework, facilitating easier integration and maintenance.
* refactor(AiProvider): enhance completions middleware logic and API client handling
- Updated the completions method to conditionally remove middleware based on parameters, improving flexibility in processing.
- Refactored the response chunk transformer in OpenAIApiClient and AnthropicAPIClient to utilize a more streamlined approach with TransformStream.
- Simplified middleware context handling by removing unnecessary custom state management.
- Improved logging and error handling across middleware components for better debugging and maintainability.
These changes enhance the efficiency and clarity of the AiProvider's middleware integration, ensuring a more adaptable and robust processing framework.
* refactor(AiProvider, middleware): clean up logging and improve method naming
- Removed unnecessary logging of parameters in AiProvider to streamline the code.
- Updated method name assignment in middleware to enhance clarity and consistency.
These changes contribute to a cleaner codebase and improve the readability of the middleware and provider components.
* feat(middleware): enhance middleware types and add RawStreamListenerMiddleware
- Introduced RawStreamListenerMiddleware to the MiddlewareName enum for improved middleware capabilities.
- Updated type definitions across middleware components to enhance type safety and clarity, including the addition of new SDK types.
- Refactored context and middleware API interfaces to support more specific type parameters, improving overall maintainability.
These changes expand the middleware framework, facilitating better handling of streaming scenarios and enhancing type safety across the codebase.
* refactor(messageThunk): convert callback functions to async and handle errors during database updates
This commit updates several callback functions in the messageThunk to be asynchronous, ensuring that block transitions are awaited properly. Additionally, error handling is added for the database update function to log any failures when saving blocks. This improves the reliability and responsiveness of the message processing flow.
* refactor: enhance message block handling in messageThunk
This commit refactors the message processing logic in messageThunk to improve the management of message blocks. Key changes include the introduction of dedicated IDs for different block types (main text, thinking, tool, and image) to streamline updates and transitions. The handling of placeholder blocks has been improved, ensuring that they are correctly converted to their respective types during processing. Additionally, error handling has been enhanced for better reliability in database updates.
* feat(AiProvider): add default timeout configuration and enhance API client aborthandler
- Introduced a default timeout constant to the configuration for improved API client timeout management.
- Updated BaseApiClient and its derived classes to utilize the new timeout setting, ensuring consistent timeout behavior across different API clients.
- Enhanced middleware to pass the timeout value during API calls, improving error handling and responsiveness.
These changes improve the overall robustness and configurability of the API client interactions, facilitating better control over request timeouts.
* feat(GeminiProvider): implement Gemini API client and enhance file handling
- Introduced GeminiAPIClient to facilitate interactions with the Gemini API, replacing the previous GoogleGenAI integration.
- Refactored GeminiProvider to utilize the new API client, improving code organization and maintainability.
- Enhanced file handling capabilities, including support for PDF uploads and retrieval of file metadata.
- Updated message processing to accommodate new SDK types and improve content generation logic.
These changes significantly enhance the functionality and robustness of the GeminiProvider, enabling better integration with the Gemini API and improving overall user experience.
* refactor(AiProvider, middleware): streamline API client and middleware integration
- Removed deprecated methods and types from various API clients, enhancing code clarity and maintainability.
- Updated the CompletionsParams interface to support messages as a string or array, improving flexibility in message handling.
- Refactored middleware components to eliminate unnecessary state management and improve type safety.
- Enhanced the handling of streaming responses and added utility functions for better stream management.
These changes contribute to a more robust and efficient architecture for the AiProvider and its associated middleware, facilitating improved API interactions and user experience.
* refactor(middleware): translation 适配
- Deleted SdkCallMiddleware to streamline middleware architecture and improve maintainability.
- Commented out references to SdkCallModule in examples and registration files to prevent usage.
- Enhanced logging in AbortHandlerMiddleware for better debugging and tracking of middleware execution.
- Updated parameters in ResponseTransformMiddleware to improve flexibility in handling response settings.
These changes contribute to a cleaner and more efficient middleware framework, facilitating better integration and performance.
* refactor(ApiCheck): streamline API validation and error handling
- Updated the API check logic to simplify validation processes and improve error handling across various components.
- Refactored the `checkApi` function to throw errors directly instead of returning validation objects, enhancing clarity in error management.
- Improved the handling of API key checks in `checkModelWithMultipleKeys` to provide more informative error messages.
- Added a new method `getEmbeddingDimensions` in the `AiProvider` class to facilitate embedding dimension retrieval, enhancing model compatibility checks.
These changes contribute to a more robust and maintainable API validation framework, improving overall user experience and error reporting.
* refactor(HealthCheckService, ModelService): improve error handling and performance metrics
- Updated error handling in `checkModelWithMultipleKeys` to truncate error messages for better readability.
- Refactored `performModelCheck` to remove unnecessary error handling, focusing on performance metrics by returning only latency.
- Enhanced the `checkModel` function to ensure consistent return types, improving clarity in API interactions.
These changes contribute to a more efficient and user-friendly error reporting and performance tracking system.
* refactor(AiProvider, models): enhance model handling and API client integration
- Updated the `listModels` method in various API clients to improve model retrieval and ensure consistent return types.
- Refactored the `EditModelsPopup` component to handle model properties more robustly, including fallback options for `id`, `name`, and other attributes.
- Enhanced type definitions for models in the SDK to support new integrations and improve type safety.
These changes contribute to a more reliable and maintainable model management system within the AiProvider, enhancing overall user experience and API interactions.
* refactor(AiProvider, clients): implement image generation functionality
- Refactored the `generateImage` method in the `AiProvider` class to utilize the `apiClient` for image generation, replacing the previous placeholder implementation.
- Updated the `BaseApiClient` to include an abstract `generateImage` method, ensuring all derived clients implement this functionality.
- Implemented the `generateImage` method in `GeminiAPIClient` and `OpenAIAPIClient`, providing specific logic for image generation based on the respective SDKs.
- Added type definitions for `GenerateImageParams` across relevant files to enhance type safety and clarity in image generation parameters.
These changes enhance the image generation capabilities of the AiProvider, improving integration with various API clients and overall user experience.
* refactor(AiProvider, clients): restructure API client architecture and remove deprecated components
- Refactored the `ProviderFactory` and removed the `AihubmixProvider` to streamline the API client architecture.
- Updated the import paths for `isOpenAIProvider` to reflect the new structure.
- Introduced `AihubmixAPIClient` and `OpenAIResponseAPIClient` to enhance client handling based on model types.
- Improved the `AiProvider` class to utilize the new clients for better model-specific API interactions.
- Enhanced type definitions and error handling across various components to improve maintainability and clarity.
These changes contribute to a more efficient and organized API client structure, enhancing overall integration and user experience.
* fix: update system prompt handling in API clients to use await for asynchronous operations
- Modified the `AnthropicAPIClient`, `GeminiAPIClient`, `OpenAIAPIClient`, and `OpenAIResponseAPIClient` to ensure `buildSystemPrompt` is awaited, improving the handling of system prompts.
- Adjusted the `fetchMessagesSummary` function to utilize the last five user messages for better context in API calls and added a utility function to clean up topic names.
These changes enhance the reliability of prompt generation and improve the overall API interaction experience.
* refactor(middleware): remove examples.ts to streamline middleware documentation
- Deleted the `examples.ts` file containing various middleware usage examples to simplify the middleware structure and documentation.
- This change contributes to a cleaner codebase and focuses on essential middleware components, enhancing maintainability.
* refactor(AiProvider, middleware): enhance middleware handling and error management
- Updated the `CompletionsParams` interface to include a new `callType` property for better middleware decision-making based on the context of the API call.
- Introduced `ErrorHandlerMiddleware` to standardize error handling across middleware, allowing errors to be captured and processed as `ErrorChunk` objects.
- Modified the `AbortHandlerMiddleware` to conditionally remove itself based on the `callType`, improving middleware efficiency.
- Cleaned up logging in `AbortHandlerMiddleware` to reduce console output and enhance performance.
- Updated middleware registration to include the new `ErrorHandlerMiddleware`, ensuring comprehensive error management in the middleware pipeline.
These changes contribute to a more robust and maintainable middleware architecture, improving error handling and overall API interaction efficiency.
* feat: implement token estimation for message handling
- Added an abstract method `estimateMessageTokens` to the `BaseApiClient` class for estimating token usage based on message content.
- Implemented the `estimateMessageTokens` method in `AnthropicAPIClient`, `GeminiAPIClient`, `OpenAIAPIClient`, and `OpenAIResponseAPIClient` to calculate token consumption for various message types.
- Enhanced middleware to accumulate token usage for new messages, improving tracking of API call costs.
These changes improve the efficiency of message processing and provide better insights into token usage across different API clients.
* feat: add support for image generation and model handling
- Introduced `SUPPORTED_DISABLE_GENERATION_MODELS` to manage models that disable image generation.
- Updated `isSupportedDisableGenerationModel` function to check model compatibility.
- Enhanced `Inputbar` logic to conditionally enable image generation based on model support.
- Modified API clients to handle image generation calls and responses, including new chunk types for image data.
- Updated middleware and service layers to incorporate image generation parameters and improve overall processing.
These changes enhance the application's capabilities for image generation and improve the handling of various model types.
* feat: enhance GeminiAPIClient for image generation support
- Added `getGenerateImageParameter` method to configure image generation parameters.
- Updated request handling in `GeminiAPIClient` to include image generation options.
- Enhanced response processing to handle image data and enqueue it correctly.
These changes improve the GeminiAPIClient's capabilities for generating and processing images, aligning with recent enhancements in image generation support.
* feat: enhance image generation handling in OpenAIResponseAPIClient and middleware
- Updated OpenAIResponseAPIClient to improve user message processing for image generation.
- Added handling for image creation events in TransformCoreToSdkParamsMiddleware.
- Adjusted ApiService to streamline image generation event handling.
- Modified messageThunk to reflect changes in image block status during processing.
These enhancements improve the integration and responsiveness of image generation features across the application.
* refactor: remove unused AI provider classes
- Deleted `AihubmixProvider`, `AnthropicProvider`, `BaseProvider`, `GeminiProvider`, and `OpenAIProvider` as they are no longer utilized in the codebase.
- This cleanup reduces code complexity and improves maintainability by removing obsolete components related to AI provider functionality.
* chore: remove obsolete test files for middleware
- Deleted test files for `AbortHandlerMiddleware`, `LoggingMiddleware`, `TextChunkMiddleware`, `ThinkChunkMiddleware`, and `WebSearchMiddleware` as they are no longer needed.
- This cleanup helps streamline the codebase and reduces maintenance overhead by removing outdated tests.
* chore: remove Suggestions component and related functionality
- Deleted the `Suggestions` component from the home page as it is no longer needed.
- Removed associated imports and functions related to suggestion fetching, streamlining the codebase.
- This cleanup helps improve maintainability by eliminating unused components.
* feat: enhance OpenAIAPIClient and StreamProcessingService for tool call handling
- Updated OpenAIAPIClient to conditionally include tool calls in the assistant message, improving message processing logic.
- Enhanced tool call handling in the response transformer to correctly manage and enqueue tool call data.
- Added a new callback for LLM response completion in StreamProcessingService, allowing better integration of response handling.
These changes improve the functionality and responsiveness of the OpenAI API client and stream processing capabilities.
* fix: copilot error
* fix: improve chunk handling in TextChunkMiddleware and ThinkChunkMiddleware
- Updated TextChunkMiddleware to enqueue LLM_RESPONSE_COMPLETE chunks based on accumulated text content.
- Refactored ThinkChunkMiddleware to generate THINKING_COMPLETE chunks when receiving non-THINKING_DELTA chunks, ensuring proper handling of accumulated thinking content.
- These changes enhance the middleware's responsiveness and accuracy in processing text and thinking chunks.
* chore: update dependencies and improve styling
- Updated `selection-hook` dependency to version 0.9.23 in `package.json` and `yarn.lock`.
- Removed unused styles from `container.scss` and adjusted padding in `index.scss`.
- Enhanced message rendering and layout in various components, including `Message`, `MessageHeader`, and `MessageMenubar`.
- Added tooltip support for message divider settings in `SettingsTab`.
- Improved handling of citation display in `CitationsList` and `CitationBlock`.
These changes streamline the codebase and enhance the user interface for better usability.
* feat: implement image generation middleware and enhance model handling
- Added `ImageGenerationMiddleware` to handle dedicated image generation models, integrating image processing and OpenAI's image generation API.
- Updated `AiProvider` to utilize the new middleware for dedicated image models, ensuring proper middleware chaining.
- Introduced constants for dedicated image models in `models.ts` to streamline model identification.
- Refactored error handling in `ErrorHandlerMiddleware` to use a utility function for better error management.
- Cleaned up imports and removed unused code in various files for improved maintainability.
* fix: update dedicated image models identification logic
- Modified the `DEDICATED_IMAGE_MODELS` array to include 'grok-2-image' for improved model handling.
- Enhanced the `isDedicatedImageGenerationModel` function to use a more robust check for model identification, ensuring better accuracy in middleware processing.
* refactor: remove OpenAIResponseProvider class
- Deleted the `OpenAIResponseProvider` class from the `AiProvider` module, streamlining the codebase by eliminating unused code.
- This change enhances maintainability and reduces complexity in the provider architecture.
* fix: usermessage
* refactor: simplify AbortHandlerMiddleware for improved abort handling
- Removed direct dependency on ApiClient for creating AbortController, enhancing modularity.
- Introduced utility functions to manage abort controllers, streamlining the middleware's responsibilities.
- Delegated abort signal handling to downstream middlewares, allowing for cleaner separation of concerns.
* refactor(aiCore): Consolidate AI provider and middleware architecture
This commit refactors the AI-related modules by unifying the `clients` and `middleware` directories under a single `aiCore` directory. This change simplifies the project structure, improves modularity, and makes the architecture more cohesive.
Key changes:
- Relocated provider-specific clients and middleware into the `aiCore` directory, removing the previous `providers/AiProvider` structure.
- Updated the architectural documentation (`AI_CORE_DESIGN.md`) to accurately reflect the new, streamlined directory layout and execution flow.
- The main `AiProvider` class is now the primary export of `aiCore/index.ts`, serving as the central access point for AI functionalities.
* refactor: update imports and enhance middleware functionality
- Adjusted import statements in `AnthropicAPIClient` and `GeminiAPIClient` for better organization.
- Improved `AbortHandlerMiddleware` to handle abort signals more effectively, including the conversion of streams to handle abort scenarios.
- Enhanced `ErrorHandlerMiddleware` to differentiate between abort errors and other types, ensuring proper error handling.
- Cleaned up commented-out code in `FinalChunkConsumerMiddleware` for better readability and maintainability.
* refactor: streamline middleware logging and improve error handling
- Removed excessive debug logging from various middleware components, including `AbortHandlerMiddleware`, `FinalChunkConsumerMiddleware`, and `McpToolChunkMiddleware`, to enhance readability and performance.
- Updated logging levels to use warnings for potential issues in `ResponseTransformMiddleware`, `TextChunkMiddleware`, and `ThinkChunkMiddleware`, ensuring better visibility of important messages.
- Cleaned up commented-out code and unnecessary debug statements across multiple middleware files for improved maintainability.
---------
Co-authored-by: suyao <sy20010504@gmail.com>
Co-authored-by: eeee0717 <chentao020717Work@outlook.com>
Co-authored-by: lizhixuan <zhixuan.li@banosuperapp.com>
* feat: add update channel functionality for beta testing
- Introduced a new IPC channel for setting the update channel.
- Implemented logic in AppUpdater to handle update channel changes.
- Updated settings to include a beta testing toggle, allowing users to switch between stable and beta update channels.
- Enhanced the settings UI to reflect the new beta testing option.
* add i18n
* update i18n
* update i18n
* refactor: rename update channel to feed URL and update related functionality
- Changed IPC channel from App_SetUpdateChannel to App_SetFeedUrl.
- Updated AppUpdater to set feed URL instead of update channel.
- Modified preload and settings to reflect the new feed URL functionality.
- Added constants for production and early access feed URLs.
* refactor: remove setAutoUpdate method from API
- Eliminated the setAutoUpdate method from the API object in preload index, streamlining the IPC communication interface.
* refactor: update early access feed URL and improve tooltip descriptions
- Changed EARLY_ACCESS_FEED_URL to point to the latest GitHub release.
- Simplified the setEarlyAccess function to directly set the feed URL.
- Added tooltips for early access settings in multiple languages to inform users about potential instability and the need for data backup.
* feat(migrate): add early access setting to state configuration
- Introduced a new state setting 'earlyAccess' and initialized it to false in the migration configuration.
* fix(i18n): update early access tooltip translations for clarity
- Revised the tooltip descriptions for the early access feature in English, Simplified Chinese, and Traditional Chinese to enhance clarity and ensure consistency in messaging regarding potential instability and the importance of data backup.
* feat: introduce FeedUrl enum for centralized feed URL management
- Added a new enum `FeedUrl` in the constants file to define production and early access feed URLs.
- Updated relevant IPC handlers and services to utilize the `FeedUrl` enum for type safety and consistency.
- Refactored the configuration manager to include methods for getting and setting the feed URL using the new enum.
* feat(settings): initialize early access and auto-update settings in AboutSettings component
- Added initialization for early access and auto-check update settings in the AboutSettings component to enhance user configuration options.
---------
Co-authored-by: beyondkmp <beyondkmkp@gmail.com>
* refactor(IpcChannel): rename theme change event and streamline theme handling
- Updated the IpcChannel enum to rename 'theme:change' to 'theme:updated' for clarity.
- Refactored theme handling in ipc.ts to utilize a new ThemeService, simplifying theme updates and event broadcasting.
- Adjusted various components to consistently use the updated theme variable naming convention.
* refactor(Theme): standardize theme handling across components
- Updated theme retrieval to use 'actualTheme' instead of 'theme' for consistency.
- Changed default theme setting from 'auto' to 'system' in ConfigManager and related components.
- Adjusted theme handling in various components to reflect the new naming convention and ensure proper theme application.
* fix(Theme): improve theme handling and migration logic
- Added a console log for debugging theme transitions in ThemeProvider.
- Updated ThemeService to ensure theme is set correctly when changed.
- Incremented version number in store configuration to reflect changes.
- Enhanced migration logic to convert 'auto' theme setting to 'system' for better consistency.
* feat(Theme): add getTheme IPC channel and improve theme management
- Introduced a new IPC channel 'App_GetTheme' to retrieve the current theme.
- Updated ThemeService to include a method for getting the current theme.
- Refactored theme initialization in WindowService to ensure proper theme setup.
- Enhanced theme handling in various components to utilize the new theme retrieval method.
* fix(ThemeService): improve theme initialization and retrieval logic
- Set default theme to 'system' and updated theme initialization to handle legacy versions.
- Enhanced getTheme method to return both the current theme and the actual theme based on nativeTheme settings.
- Removed redundant initTheme method from ThemeService and ensured themeService is imported in WindowService for proper initialization.
- Updated ThemeProvider to handle the new structure of the theme retrieval response.
* refactor(Settings): remove theme management from settings
- Eliminated theme-related state and actions from the settings slice.
- Updated useSettings hook to remove theme handling functionality.
- Cleaned up imports by removing unused ThemeMode type.
* refactor(Theme): update theme retrieval in GeneralSettings and HomeWindow
- Restored theme retrieval in GeneralSettings and HomeWindow components.
- Adjusted imports to ensure proper theme management.
- Updated theme condition checks to utilize the ThemeMode enumeration for consistency.
* refactor(Theme): update theme terminology and retrieval in Sidebar and DisplaySettings
- Changed theme label from 'auto' to 'system' in multiple localization files for consistency.
- Updated Sidebar component to reflect the new theme terminology.
- Adjusted DisplaySettings to display the updated theme label.
* refactor(ThemeProvider): initialize theme state from API response
* refactor(ThemeProvider): reset theme state to default values and streamline initialization logic
* refactor(Theme): enhance theme management by incorporating 'system' mode and updating state handling
- Updated ThemeService to include 'system' as a valid theme option.
- Refactored ThemeProvider to utilize useSettings for theme state management and ensure proper initialization.
- Adjusted useSettings to include theme setting functionality.
- Modified settings slice to manage theme state effectively.
* refactor(WindowService, ThemeProvider, Messages, HomeWindow): streamline imports and clean up unused variables
- Removed duplicate import of ThemeService in WindowService.
- Adjusted import order in ThemeProvider for clarity.
- Simplified useSettings destructuring in Messages component.
- Cleaned up unused ThemeMode import in HomeWindow.
* refactor(Theme): standardize theme usage across components by replacing 'actualTheme' with 'theme'
- Updated components to consistently use 'theme' instead of 'actualTheme' for better clarity and maintainability.
- Adjusted ThemeProvider to reflect changes in theme state management.
- Ensured all relevant components are aligned with the new theme structure.
* refactor(Theme): remove unused theme retrieval functionality
- Eliminated the App_GetTheme channel and associated methods from ThemeService and IPC handling.
- Updated components to use the new theme structure, replacing 'actualTheme' with 'settedTheme' for consistency.
- Ensured all theme-related functionalities are streamlined and aligned with the latest changes.
* refactor(Theme): update theme variable usage in ChatFlowHistory and GeneralSettings
- Replaced 'theme' with 'settedTheme' in ChatFlowHistory for consistency with recent theme structure changes.
- Simplified theme destructuring in GeneralSettings by removing unused 'themeMode' variable.
- Ensured alignment with the latest theme management updates across components.
* refactor(Theme): update theme variable in GeneralSettings component
- Replaced 'themeMode' with 'theme' in GeneralSettings for consistency with recent theme structure changes.
- Ensured alignment with the latest theme management updates across components.
---------
Co-authored-by: beyondkmp <beyondkmkp@gmail.com>
- Introduced a new setting to remember the last adjusted size of the action window.
- Updated ConfigManager, SelectionService, and IPC channels to handle the new feature.
- Enhanced UI components to allow users to toggle the "Remember Size" option.
- Localized the new setting in multiple languages.
feat: add filter mode and list functionality to selection assistant
- Introduced new filter mode options (default, whitelist, blacklist) for the selection assistant.
- Added methods to set and get filter mode and filter list in ConfigManager.
- Enhanced SelectionService to manage filter mode and list, affecting text selection processing.
- Updated UI components to allow users to configure filter settings.
- Localized new filter settings in multiple languages.
* refactor: TrayService
- Removed the App_RestartTray channel from IpcChannel and its usage in ipc.ts and preload/index.ts.
- Updated TrayService to handle configuration changes without the need for a restart.
- Enhanced ConfigManager to notify subscribers on language and quick assistant settings changes.
- Adjusted QuickAssistantSettings to close the mini window based on the quick assistant's enable state.
* refactor: enhance configuration management
- Updated ConfigManager to consolidate setting and notification logic into a single method, setAndNotify.
- Modified IPC handler to accept an additional parameter for notification control.
- Adjusted QuickAssistantSettings to utilize the new parameter for enabling notifications during configuration changes.
* feat(selection): implement selection assistant with toolbar and action management
- Added selection assistant functionality including a toolbar for actions.
- Introduced new settings for enabling/disabling the selection assistant and configuring its behavior.
- Implemented action items for built-in functionalities like translate, explain, and copy.
- Integrated selection service to manage selection events and actions.
- Updated localization files to support new selection assistant features in multiple languages.
- Added new components for action management and user interaction within the selection assistant.
* chore: update selection-hook to version 0.9.10 and exclude prebuilds from packaging
* fix: toolbar hiding
* feat: enhance error handling and service management in main index
* fix: improve logical coordinate handling in SelectionService
* fix: update URL loading and coordinate conversion in SelectionService
* fix: replace console.error with Logger for error handling in SelectionService
* refactor(SelectionService): enhance preloaded action window management
* chore(electron-builder): add filter for .node build files in configuration
* fix: toolbar position calculating for multi monitor
* fix: update selection assistant configuration and improve error handling in SelectionService
* fix: SelectionActionUserModal layout
* feat: add hints for custom search URL in multiple languages
* fix: update calculateToolbarPosition to ensure integer return type and round position values
* feat: add action window opacity setting and update related UI components
refactor: SelectionActionsList
* chore: enhance tooltip for trigger mode settings
* fix: console.log
* chore: update selection-hook to version 0.9.12
* fix: integrate language settings into selection components
* fix: filter out default assistant from user predefined assistants in selection modal
* chore: update selection-hook package version to 0.9.13
* chore: update selection-hook package version to 0.9.14
* feat: add Cherry Cloud provider with associated assets and localization support
* feat: add Cherry Cloud provider support with OAuth integration and IPC handling
* fix: add success message for Cherry Cloud API key update
* feat: enhance provider navigation with dynamic ID in URL and update selected provider state
* feat: implement Cherry Cloud server synchronization with token management and error handling
* feat: add CherryCloud provider configuration and token management
* feat: integrate TokenFlux provider support and update related configurations
fix: update redux-persist version to 104
refactor: remove redundant tokenflux provider model assignment in migration
fix: update migration to add TokenFlux provider instead of CherryCloud
* feat: enhance TokenFlux server synchronization with API key authentication support
* feat: update TokenFlux provider assets and add new models
* feat: update migration logic for version 106 to add TokenFlux provider
* feat: disable TokenFlux provider by default in INITIAL_PROVIDERS
* feat: add TokenFlux billing URLs to providerCharge and providerBills functions
- Renamed IPC channels for notifications to improve clarity and consistency.
- Updated related handlers in the main process and preload scripts to reflect the new naming convention.
- Enhanced notification service to respect user settings before sending notifications.
* WIP
* feat: integrate notification system using Electron's Notification API
- Replaced the previous notification implementation with Electron's Notification API for better integration.
- Updated notification types and structures to support new features.
- Added translations for notification messages in multiple languages.
- Cleaned up unused dependencies related to notifications.
* refactor: remove unused node-notifier dependency from Electron config
* clean: remove node-notifier from asarUnpack in Electron config
* fix: update notification type in preload script to align with new structure
* feat: Integrate NotificationService for user notifications across various components
- Implemented NotificationService in useUpdateHandler to notify users of available updates.
- Enhanced KnowledgeQueue to send success and error notifications during item processing.
- Updated BackupService to notify users upon successful restoration and backup completion.
- Added error notifications in message handling to improve user feedback on assistant responses.
This update improves user experience by providing timely notifications for important actions and events.
* feat: Refactor notification handling and integrate new notification settings
- Moved SYSTEM_MODELS to a new file for better organization.
- Enhanced notification handling across various components, including BackupService and KnowledgeQueue, to include a source attribute for better context.
- Introduced notification settings in the GeneralSettings component, allowing users to toggle notifications for assistant messages, backups, and knowledge embedding.
- Updated the Redux store to manage notification settings and added migration logic for the new settings structure.
- Improved user feedback by ensuring notifications are sent based on user preferences.
This update enhances the user experience by providing customizable notification options and clearer context for notifications.
* feat: Add 'update' source to NotificationSource type for enhanced notification context
* feat: Integrate electron-notification-state for improved notification handling
- Added electron-notification-state package to manage Do Not Disturb settings.
- Updated NotificationService to respect user DND preferences when sending notifications.
- Adjusted notification settings in various components (BackupService, KnowledgeQueue, useUpdateHandler) to ensure notifications are sent based on user preferences.
- Enhanced user feedback by allowing notifications to be silenced based on DND status.
* feat: Add notification icon to Electron notifications
* fix: import SYSTEM_MODELS in EditModelsPopup for improved model handling
* feat(i18n): add knowledge base notifications in multiple languages
- Added success and error messages for knowledge base operations in English, Japanese, Russian, Chinese (Simplified and Traditional).
- Updated the KnowledgeQueue to utilize the new notification messages for better user feedback.
* feat(notification): introduce NotificationProvider and integrate into App component
- Added NotificationProvider to manage notifications within the application.
- Updated App component to include NotificationProvider, enhancing user feedback through notifications.
- Refactored NotificationQueue to support multiple listeners for notification handling.
* feat: add MCP servers via JSON quickly
* refactor(MCPSettings): Extract JSON parsing logic into a helper function
* feat: json linter for EditMcpJsonPopup
* feat(mcp): confirm the MCP server status as connection
* refactor(AddMcpServerModal): 移除冗余注释并修复加载状态
* feat(MCPSettings): Add support for SSE and streamableHttp formats and optimize server configuration parsing
- Add server type validation to ensure the type is stdio, SSE, or streamableHttp
- Optimize JSON parsing logic to ensure server configuration completeness and validity
- Update example text to provide more detailed configuration examples
* fix(MCPSettings): fix AddMcpServerModal default baseUrl login
移除serverToAdd.url作为baseUrl的备选值，确保baseUrl仅使用serverToAdd.baseUrl的值
* feat(MCPSettings): support CodeEditor in AddMcpServerModal
* fix: Remove unnecessary type checks for JSON parsing login
* fix(MCPSettings): fix compatibility issues with the URL field when parsing server data
* refactor: remove unnessary cdoe
* chore: Add a server dropdown button to integrate new features in UI
- Integrate the two buttons for adding a server into a single dropdown menu to enhance user experience and simplify the interface
* chroe: modify the Dropdown items' name of addServer
* refactor(i18n): unify the translation for the MCP server import function
---------
Co-authored-by: one <wangan.cs@gmail.com>
* feat: add resolveFilePath functionality to file management
* Added new IPC channel for resolving file paths.
* Implemented resolveFilePath method in FileStorage service.
* Updated FileManager to utilize the new resolveFilePath method.
* Enhanced preload API to expose resolveFilePath to the renderer.
* Updated KnowledgeService to ensure file paths are correctly resolved in knowledge bases.
* refactor: remove unused path import from preload index
* Removed the unused 'resolve' import to clean up the codebase.
* Improved code readability by eliminating unnecessary dependencies.
---------
Co-authored-by: beyondkmp <beyondkmkp@gmail.com>
* feat: add DevTools functionality and localization support
* Added new IPC channels for opening and toggling DevTools.
* Implemented corresponding handlers in the main process.
* Updated preload API to include DevTools methods.
* Enhanced the AboutSettings component with a debug section to control DevTools.
* Added localization strings for debug actions in English, Simplified Chinese, and Traditional Chinese.
* refactor: remove DevTools open state handling and related localization strings
* Removed the IPC channel and associated handlers for checking if DevTools is open.
* Updated the AboutSettings component to eliminate the DevTools open state management.
* Removed localization strings for the DevTools close action in English, Simplified Chinese, and Traditional Chinese.
* ToggleDevTools event uses the source window to trigger switching, compatible with multiple windows
* Remove empty comments
---------
Co-authored-by: yangheng <492238647@qq.com>
* refactor: update zoom handling in IPC and settings
* renamed zoom-related IPC channels for clarity
* refactored zoom handling logic in ipc.ts and ShortcutService
* removed unused zoom factor state management from settings
* updated DisplaySettings component to manage zoom via buttons
* localized zoom settings in multiple languages
* refactor: remove unused zoom factor state from settings
* eliminated the zoomFactor state from initialSettings as part of the zoom handling refactor
* refactor: improve zoom handling in DisplaySettings component
* initialized current zoom value on component mount
* refactored resize event listener to prevent memory leaks
* added cleanup for resize event listener to enhance performance
* refactor: enhance resize event handling in DisplaySettings component
* added logic to track previous window width to prevent unnecessary updates during resize events
* improved comments for clarity on zoom handling and resize event listener functionality
* refactor: streamline zoom handling across IPC and ShortcutService
* updated handleZoomFactor function to accept an array of BrowserWindows for batch processing
* simplified zoom factor adjustments in IPC and shortcut handlers
* removed unnecessary window destruction checks for improved performance
* feat: 新增文件写入功能，支持通过 ID 写入文件并加载自定义小应用配置。
* feat(i18n): 添加自定义小程序配置的多语言支持，包括英文、简体中文和繁体中文。
* fix(minapps): 使用 await 加载自定义小应用并合并到默认应用中，同时添加日志输出以便调试
* fix(minapps): 在开发环境中添加条件日志输出，以便调试加载的默认小应用。
* refactor(miniappSettings): 移动自定义小应用编辑区域的位置，优化界面布局。
* refactor(miniappSettings): 修改自定义小应用保存逻辑，优化应用列表重新加载方式。
* feat(i18n): 修复在merge过程中丢失的语言设置。
* fix(bug_risk): Consider adding stricter validation for the JSON config on load.
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* feat(miniapp): 添加自定义小应用功能，优化应用列表展示，支持通过模态框添加新应用。
* feat(App): enhance custom app modal to support logo upload via URL.
* feat(miniapp): add application logo support and update mini app list reloading logic.
* feat(i18n): update mini app custom settings translations for multiple languages.
* feat(miniapp): add updateDefaultMinApps function and refactor mini app list reloading logic.
* feat(miniapp): add removeCustom functionality to handle custom mini app deletion
* feat(miniapp): add duplicate ID check when adding custom mini apps.
* feat(i18n): 重构侧边栏相关翻译为结构化格式，增加删除自定义应用的翻译支持。
* feat(miniapp): 优化删除自定义应用的逻辑，使用条件渲染简化代码结构。
* feat(miniapp): 添加自定义小应用内容的空值处理，确保 JSON 格式有效。
* feat(i18n): 更新默认语言为英语，并移除多个语言文件中的默认代理字段。
* feat(i18n): 为多个语言文件添加自定义小应用配置编辑描述翻译。
* feat(i18n): add success and error messages for deleting custom mini apps in multiple language files.
* feat(i18n): update success and error messages for custom mini app operations and add placeholder text in multiple language files.
* feat(i18n): 为多个语言文件添加重复ID和冲突ID的错误信息翻译，并在自定义小应用设置中实现相关检查逻辑。
* feat(miniapp): 在添加自定义小应用时，增加对默认最小应用ID的重复检查逻辑。
* feat(i18n): update edit description for custom mini app configuration in Traditional Chinese locale
* fix(miniapp): enhance error messages for duplicate and conflicting IDs in custom mini app configuration
---------
Co-authored-by: George Zhao <georgezhao@SKJLAB>
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
Co-authored-by: suyao <sy20010504@gmail.com>
* feat: add zoom factor setting and localization support
- Introduced App_SetZoomFactor IPC channel for managing zoom levels.
- Implemented zoom factor functionality in the main IPC handler.
- Added setZoomFactor method in the settings store and corresponding UI in DisplaySettings.
- Included localization for zoom settings in English and Chinese.
* add i18n
* recover file
* delete code
* fix: update zoom factor handling to apply to all windows
- Modified the IPC handler for App_SetZoomFactor to set the zoom factor for all non-destroyed windows instead of just the main window.
* add getzoomfactor api
* feat: synchronize zoom factor with Redux state on app initialization
- Added functionality to fetch the zoom factor from the main process and dispatch it to the Redux store during app initialization.
- Removed redundant zoom factor fetching logic from DisplaySettings component.
* feat: enhance zoom factor management with IPC updates
- Added a new IPC channel for zoom factor updates to notify all renderer processes.
- Introduced a constant for predefined zoom levels to streamline zoom adjustments.
- Updated the zoom handling logic to utilize the new zoom levels and ensure smooth transitions.
- Implemented a listener in the preload script to handle zoom factor updates from the main process.
- Refactored the app initialization to include real-time updates for the zoom factor in the Redux state.
* feat: integrate zoom options into DisplaySettings component
- Added ZOOM_OPTIONS constant to generate structured options for Ant Design Select from predefined zoom levels.
- Refactored DisplaySettings to utilize ZOOM_OPTIONS, removing redundant zoom option definitions.
- Simplified the zoom factor fetching logic in useAppInit for better readability and efficiency.
* refactor: streamline zoom factor handling and remove unused IPC channel
- Removed the App_GetZoomFactor IPC channel as it was no longer needed.
- Updated zoom factor handling to directly set and notify the main window of changes.
- Simplified the logic for setting the zoom factor in the WindowService and ShortcutService.
- Adjusted the useAppInit hook to utilize the new zoom factor management approach.
* refactor: improve zoom factor handling in WindowService and useAppInit hook
- Simplified the zoom factor setting in WindowService by directly using the config manager.
- Updated useAppInit to ensure the zoom factor is set correctly on initialization, enhancing responsiveness to changes.
* feat: implement store synchronization across windows
- Added new IPC channels for store synchronization: StoreSync_Subscribe, StoreSync_Unsubscribe, StoreSync_OnUpdate, and StoreSync_BroadcastSync.
- Integrated store sync service in various components, including the main IPC handler and renderer store.
- Removed the MiniWindowReload IPC channel as it was no longer needed.
- Updated the store configuration to support synchronization of specific state slices.
* refactor: remove custom CSS functionality from IPC and related components
- Removed the App_SetCustomCss channel and associated handlers from the IPC and ConfigManager.
- Updated the renderer components to eliminate references to custom CSS settings.
- Refactored the MiniWindow component to manage custom CSS directly without IPC communication.
- Added new IPC channels for store synchronization: StoreSync_Subscribe, StoreSync_Unsubscribe, StoreSync_OnUpdate, and StoreSync_BroadcastSync.
- Integrated store sync service in various components, including the main IPC handler and renderer store.
- Removed the MiniWindowReload IPC channel as it was no longer needed.
- Updated the store configuration to support synchronization of specific state slices.
* Add MCP server installation via URL protocol
Implement handler for cherrystudio://mcp/install URLs to add MCP servers
from encoded configuration data. Supports multiple server configuration
formats and adds a new IPC channel for server addition.
* feat: Enhance MCP protocol handling and navigation
- Implemented navigation to the '/settings/mcp' page using executeJavaScript in the MCP protocol URL handler.
- Updated NavigationService to expose the navigate function globally for easier access in the application.
- Added NavigateFunction type to the global environment for improved type safety in navigation operations.
---------
Co-authored-by: kangfenmao <kangfenmao@qq.com>
* feat: open popup url in external browser
* fix: allow google auth popup internal
* feat: add functionality(including settings) to open links in external browser for webviews
* fix: set useragent globally
* fix: remove setUserAgent in webview
* fix: set Chrome version to newest
- Reintroduced @mozilla/readability, @shikijs/markdown-it, and @xyflow/react to package.json.
- Updated shiki version to 3.2.2 in both package.json and yarn.lock.
- Removed trailing whitespace in IpcChannel.ts and index.ts for code cleanliness.
- Added outline style to .ant-tabs-tab-btn in ant.scss for improved UI consistency.
* Add MCP prompt listing and retrieval functionality
* Add generic caching mechanism for MCP service methods
Refactor caching strategy by implementing a higher-order withCache function
to centralize cache logic and reduce code duplication. Separate implementation
details from caching concerns in listTools, listPrompts and getPrompt methods.
# Conflicts:
# src/main/services/MCPService.ts
* Add MCP prompts listing feature
- Add IPC handlers for listing and getting prompts
- Create UI component to display available prompts in settings tab
- Improve error handling in MCP service methods
* fix(McpService): add error handling for tool and prompt listing methods
* feat(MCPSettings): enhance prompts and tools sections with improved UI and reset functionality
* feat(i18n): add tabs and prompts sections to localization files
* feat(MCPToolsButton): add MCP prompt list functionality to Inputbar
* feat(McpSettings, NpxSearch): improve user feedback with success messages on server addition
* feat(MCPService, MCPToolsButton): enhance prompt handling with caching and improved selection logic
* feat(MCPToolsButton): enhance prompt handling with argument support and error management
---------
Co-authored-by: Teo <cheesen.xu@gmail.com>
* feat(websearch): implement search window functionality and enhance search service
* feat(DefaultProvider): integrate @mozilla/readability for improved content parsing
* Add LocalSearchProvider for web page scraping
AI: Change `provider` from private to protected in BaseWebSearchProvider and implement LocalSearchProvider for web searching with browser-based content extraction.
* Add web search provider management features
Implement addWebSearchProvider function to prevent duplicates,
automatically load default providers on initialization, fix
LocalSearchProvider implementation, and update local provider
identification logic.
* Improve web search with specialized search engine parsers
Add dedicated parsers for Google, Bing, and Baidu search results,
replacing the generic URL extraction approach. Enhance page loading
with proper wait mechanisms and window cleanup. Remove DuckDuckGo
provider as it's no longer supported.
* Simplify DefaultProvider to unimplemented placeholder
* Remove default search engine from initial state
* Improve web search providers config and display
Add configuration for local search providers, remove empty apiKey fields,
and enhance the UI by sorting providers alphabetically and showing
whether they require an API key.
* Add stderr logging for MCP servers
* Make search window initially hidden
* Enhance update error logging and fix duplicate type import
- Improve error logging in AppUpdater with more detailed error information and timestamps
- Remove duplicate MCPServer type import in Inputbar component
* feat(constants): 添加 Fortran 源文件扩展名支持
* feat: knowledge base support more file types
* chore: add common document types
* feat: finish basic odloader
* feat: finish open document loader
* feat: support more type from dictionary
* fix: 删除目录时仍能检索到信息
* chore
