72 Commits

Author	SHA1	Message	Date
SuYao	86e3776fff	fix(mcp): enhance progress event structure to include callId for specific tool tracking (#9946) ... * fix(mcp): enhance progress event structure to include callId for specific tool tracking * refactor(mcp): add MCP progress event with callId and progress percentage	2025-09-05 17:26:20 +08:00
LiuVaayne	cac84a8795	refactor(mcp): enhance MCPService logging and error handling (#9878)	2025-09-04 14:52:47 +08:00
MyPrototypeWhat	a227f6dcb9	Feat/aisdk package (#7404) ... * feat: enhance AI SDK middleware integration and support - Added AiSdkMiddlewareBuilder for dynamic middleware construction based on various conditions. - Updated ModernAiProvider to utilize new middleware configuration, improving flexibility in handling completions. - Refactored ApiService to pass middleware configuration during AI completions, enabling better control over processing. - Introduced new README documentation for the middleware builder, outlining usage and supported conditions. * feat: enhance AI core functionality with smoothStream integration - Added smoothStream to the middleware exports in index.ts for improved streaming capabilities. - Updated PluginEnabledAiClient to conditionally apply middlewares, removing the default simulateStreamingMiddleware. - Modified ModernAiProvider to utilize smoothStream in streamText, enhancing text processing with configurable chunking and delay options. * feat: enhance AI SDK documentation and client functionality - Added detailed usage examples for the native provider registry in the README.md, demonstrating how to create and utilize custom provider registries. - Updated ApiClientFactory to enforce type safety for model instances. - Refactored PluginEnabledAiClient methods to support both built-in logic and custom registry usage for text and object generation, improving flexibility and usability. * refactor: update AiSdkToChunkAdapter and middleware for improved chunk handling - Modified convertAndEmitChunk method to handle new chunk types and streamline processing. - Adjusted thinkingTimeMiddleware to remove unnecessary parameters and enhance clarity. - Updated middleware integration in AiSdkMiddlewareBuilder for better middleware management. * feat: add Cherry Studio transformation and settings plugins - Introduced cherryStudioTransformPlugin for converting Cherry Studio messages to AI SDK format, enhancing compatibility. - Added cherryStudioSettingsPlugin to manage Assistant settings like temperature and TopP. - Implemented createCherryStudioContext function for preparing context metadata for Cherry Studio calls. * fix: refine experimental_transform handling and improve chunking logic - Updated PluginEnabledAiClient to streamline the handling of experimental_transform parameters. - Adjusted ModernAiProvider's smoothStream configuration for better chunking of text, enhancing processing efficiency. - Re-enabled block updates in messageThunk for improved state management. * refactor: update ApiClientFactory and index_new for improved type handling and provider mapping - Changed the type of options in ClientConfig to 'any' for flexibility. - Overloaded createImageClient method to support different provider settings. - Added vertexai mapping to the provider type mapping in index_new.ts for enhanced compatibility. * feat: enhance AI SDK documentation and client functionality - Added detailed usage examples for the native provider registry in the README.md, demonstrating how to create and utilize custom provider registries. - Updated ApiClientFactory to enforce type safety for model instances. - Refactored PluginEnabledAiClient methods to support both built-in logic and custom registry usage for text and object generation, improving flexibility and usability. * feat: add openai-compatible provider and enhance provider configuration - Introduced the @ai-sdk/openai-compatible package to support compatibility with OpenAI. - Added a new ProviderConfigFactory and ProviderConfigBuilder for streamlined provider configuration. - Updated the provider registry to include the new Google Vertex AI import path. - Enhanced the index.ts to export new provider configuration utilities for better type safety and usability. - Refactored ApiService and middleware to integrate the new provider configurations effectively. * feat: enhance Vertex AI provider integration and configuration - Added support for Google Vertex AI credentials in the provider configuration. - Refactored the VertexAPIClient to handle both standard and VertexProvider types. - Implemented utility functions to check Vertex AI configuration completeness and create VertexProvider instances. - Updated provider mapping in index_new.ts to ensure proper handling of Vertex AI settings. * feat: enhance provider options and examples for AI SDK - Introduced new utility functions for creating and merging provider options, improving type safety and usability. - Added comprehensive examples for OpenAI, Anthropic, Google, and generic provider options to demonstrate usage. - Refactored existing code to streamline provider configuration and enhance clarity in the options management. - Updated the PluginEnabledAiClient to simplify the handling of model parameters and improve overall functionality. * feat: add patch for Google Vertex AI and enhance private key handling - Introduced a patch for the @ai-sdk/google-vertex package to improve URL handling based on region. - Added a new utility function to format private keys, ensuring correct PEM structure and validation. - Updated the ProviderConfigBuilder to utilize the new private key formatting function for Google credentials. - Created a pnpm workspace configuration to manage patched dependencies effectively. * feat: add OpenAI Compatible provider and enhance provider configuration - Introduced a new OpenAI Compatible provider to the AiProviderRegistry, allowing for integration with the @ai-sdk/openai-compatible package. - Updated provider configuration logic to support the new provider, including adjustments to API host formatting and options management. - Refactored middleware to streamline handling of OpenAI-specific configurations. * fix: enhance anthropic provider configuration and middleware handling - Updated providerToAiSdkConfig to support both OpenAI and Anthropic providers, improving flexibility in API host formatting. - Refactored thinkingTimeMiddleware to ensure all chunks are correctly enqueued, enhancing middleware functionality. - Corrected parameter naming in getAnthropicReasoningParams for consistency and clarity in configuration. * feat: enhance AI SDK chunk handling and tool call processing - Introduced ToolCallChunkHandler for managing tool call events and results, improving the handling of tool interactions. - Updated AiSdkToChunkAdapter to utilize the new handler, streamlining the processing of tool call chunks. - Refactored transformParameters to support dynamic tool integration and improved parameter handling. - Adjusted provider mapping in factory.ts to include new provider types, enhancing compatibility with various AI services. - Removed obsolete cherryStudioTransformPlugin to clean up the codebase and focus on more relevant functionality. * feat: enhance provider ID resolution in AI SDK - Updated getAiSdkProviderId function to include mapping for provider types, improving compatibility with third-party SDKs. - Refined return logic to ensure correct provider ID resolution, enhancing overall functionality and support for various providers. * refactor: restructure AI Core architecture and enhance client functionality - Updated the AI Core documentation to reflect the new architecture and design principles, emphasizing modularity and type safety. - Refactored the client structure by removing obsolete files and consolidating client creation logic into a more streamlined format. - Introduced a new core module for managing execution and middleware, improving the overall organization of the codebase. - Enhanced the orchestration layer to provide a clearer API for users, integrating the creation and execution processes more effectively. - Added comprehensive type definitions and utility functions for better type safety and usability across the SDK. * refactor: simplify AI Core architecture and enhance runtime execution - Restructured the AI Core documentation to reflect a simplified two-layer architecture, focusing on clear responsibilities between models and runtime layers. - Removed the orchestration layer and consolidated its functionality into the runtime layer, streamlining the API for users. - Introduced a new runtime executor for managing plugin-enhanced AI calls, improving the handling of execution and middleware. - Updated the core modules to enhance type safety and usability, including comprehensive type definitions for model creation and execution configurations. - Removed obsolete files and refactored existing code to improve organization and maintainability across the SDK. * feat: enhance AI Core runtime with advanced model handling and middleware support - Introduced new high-level APIs for model creation and configuration, improving usability for advanced users. - Enhanced the RuntimeExecutor to support both direct model usage and model ID resolution, allowing for more flexible execution options. - Updated existing methods to accept middleware configurations, streamlining the integration of custom processing logic. - Refactored the plugin system to better accommodate middleware, enhancing the overall extensibility of the AI Core. - Improved documentation to reflect the new capabilities and usage patterns for the runtime APIs. * feat: enhance plugin system with new reasoning and text plugins - Introduced `reasonPlugin` and `textPlugin` to improve chunk processing and handling of reasoning content. - Updated `transformStream` method signatures for better type safety and usability. - Enhanced `ThinkingTimeMiddleware` to accurately track thinking time using `performance.now()`. - Refactored `ThinkingBlock` component to utilize block thinking time directly, improving performance and clarity. - Added logging for middleware builder to assist in debugging and monitoring middleware configurations. * refactor: update RuntimeExecutor and introduce MCP Prompt Plugin - Changed `pluginClient` to `pluginEngine` in `RuntimeExecutor` for clarity and consistency. - Updated method calls in `RuntimeExecutor` to use the new `pluginEngine`. - Enhanced `AiSdkMiddlewareBuilder` to include `mcpTools` in the middleware configuration. - Added `MCPPromptPlugin` to support tool calls within prompts, enabling recursive processing and improved handling of tool interactions. - Updated `ApiService` to pass `mcpTools` during chat completion requests, enhancing integration with the new plugin system. * feat: enhance MCP Prompt plugin and recursive call capabilities - Updated `tsconfig.web.json` to support wildcard imports for `@cherrystudio/ai-core`. - Enhanced `package.json` to include type definitions and imports for built-in plugins. - Introduced recursive call functionality in `PluginManager` and `PluginEngine`, allowing for improved handling of tool interactions. - Added `MCPPromptPlugin` to facilitate tool calls within prompts, enabling recursive processing of tool results. - Refactored `transformStream` methods across plugins to accommodate new parameters and improve type safety. * <type>: <subject> <body> <footer> 用來簡要描述影響本次變動，概述即可 * feat: enhance MCP Prompt plugin with recursive call support and context handling - Updated `AiRequestContext` to enforce `recursiveCall` and added `isRecursiveCall` for better state management. - Modified `createContext` to initialize `recursiveCall` with a placeholder function. - Enhanced `MCPPromptPlugin` to utilize a custom `createSystemMessage` function for improved message handling during recursive calls. - Refactored `PluginEngine` to manage recursive call states, ensuring proper execution flow and context integrity. * feat: update package dependencies and introduce new patches for AI SDK tools - Added patches for `@ai-sdk/google-vertex` and `@ai-sdk/openai-compatible` to enhance functionality and fix issues. - Updated `package.json` to reflect new dependency versions and patch paths. - Refactored `transformParameters` and `ApiService` to support new tool configurations and improve parameter handling. - Introduced utility functions for setting up tools and managing options, enhancing the overall integration of tools within the AI SDK. * refactor: disable console logging in MCP Prompt plugin for cleaner output - Commented out console log statements in the `createMCPPromptPlugin` to reduce noise during execution. - Maintained the structure and functionality of the plugin while improving readability and performance. * feat: enhance ModernAiProvider with new reasoning plugins and dynamic middleware construction - Introduced `reasoningTimePlugin` and `smoothReasoningPlugin` to improve reasoning content handling and processing. - Refactored `ModernAiProvider` to dynamically build plugin arrays based on middleware configuration, enhancing flexibility. - Removed the obsolete `ThinkingTimeMiddleware` to streamline middleware management. - Updated `buildAiSdkMiddlewares` to reflect changes in middleware handling and improve clarity in the configuration process. - Enhanced logging for better visibility into plugin and middleware configurations during execution. * feat: introduce MCP Prompt Plugin and refactor built-in plugin structure - Added `mcpPromptPlugin.ts` to encapsulate MCP Prompt functionality, providing a structured approach for tool calls within prompts. - Updated `index.ts` to reference the new `mcpPromptPlugin`, enhancing modularity and clarity in the built-in plugins. - Removed the outdated `example-plugins.ts` file to streamline the plugin directory and focus on essential components. * refactor: rename and restructure message handling in Conversation and Orchestrate services - Renamed `prepareMessagesForLlm` to `prepareMessagesForModel` in `ConversationService` for clarity. - Updated `OrchestrationService` to use the new method name and introduced a new function `transformMessagesAndFetch` for improved message processing. - Adjusted imports in `messageThunk` to reflect the changes in the orchestration service, enhancing code readability and maintainability. * refactor: streamline error handling and logging in ModernAiProvider - Commented out the try-catch block in the `ModernAiProvider` class to simplify the code structure. - Enhanced readability by removing unnecessary error logging while maintaining the core functionality of the AI processing flow. - Updated `messageThunk` to incorporate an abort controller for improved request management during message processing. * fix: update reasoningTimePlugin and smoothReasoningPlugin for improved performance tracking - Changed the invocation of `reasoningTimePlugin` to a direct reference in `ModernAiProvider`. - Initialized `thinkingStartTime` with `performance.now()` in `reasoningTimePlugin` for accurate timing. - Removed `thinking_millsec` from the enqueued chunks in `smoothReasoningPlugin` to streamline data handling. - Added console logging for performance tracking in `reasoningTimePlugin` to aid in debugging. * feat: extend buildStreamTextParams to include capabilities for enhanced AI functionality - Updated the return type of `buildStreamTextParams` to include `capabilities` for reasoning, web search, and image generation. - Modified `fetchChatCompletion` to utilize the new capabilities structure, improving middleware configuration based on model capabilities. * refactor: simplify provider validation and enhance plugin configuration - Commented out the provider support check in `RuntimeExecutor` to streamline initialization. - Updated `providerToAiSdkConfig` to utilize `AiCore.isSupported` for improved provider validation. - Enhanced middleware configuration in `ModernAiProvider` to ensure tools are only added when enabled and available. - Added comments in `transformParameters` for clarity on parameter handling and plugin activation. * refactor: remove OpenRouter provider support and streamline reasoning logic - Commented out the OpenRouter provider in `registry.ts` and related configurations due to excessive bugs. - Simplified reasoning logic in `transformParameters.ts` and `options.ts` by removing unnecessary checks for `enableReasoning`. - Enhanced logging in `transformParameters.ts` to provide better insights into reasoning capabilities. - Updated `getReasoningEffort` to handle cases where reasoning effort is not defined, improving model compatibility. * chore: update OpenRouter provider to version 0.7.2 and add support functions - Updated the OpenRouter provider dependency in `package.json` and `yarn.lock` to version 0.7.2. - Added a new function `createOpenRouterOptions` in `factory.ts` for creating OpenRouter provider options. - Updated type definitions in `types.ts` and `registry.ts` to include OpenRouter provider settings, enhancing provider management. * refactor: streamline reasoning plugins and remove unused components - Removed the `reasoningTimePlugin` and `mcpPromptPlugin` to simplify the plugin architecture. - Updated the `smoothReasoningPlugin` to enhance its functionality and reduce delay in processing. - Adjusted the `textPlugin` to align with the new delay settings for smoother output. - Modified the `ModernAiProvider` to utilize the updated `smoothReasoningPlugin` without the removed plugins. * refactor: update reasoning plugins and enhance performance - Replaced `smoothReasoningPlugin` with `reasoningTimePlugin` to improve reasoning time tracking. - Commented out the unused `textPlugin` in the plugin list for better clarity. - Adjusted delay settings in both `smoothReasoningPlugin` and `textPlugin` for optimized processing. - Enhanced logging in reasoning plugins for better debugging and performance insights. * feat: implement useSmoothStream hook for dynamic text rendering - Added a new custom hook `useSmoothStream` to manage smooth text streaming with adjustable delays. - Integrated the `useSmoothStream` hook into the `Markdown` component to enhance content display during streaming. - Improved state management for displayed content and stream completion status in the `Markdown` component. * feat: enhance OpenAI provider handling and add providerParams utility module - Updated the `createBaseModel` function to handle OpenAI provider responses in strict mode. - Modified `providerToAiSdkConfig` to include specific options for OpenAI when in strict mode. - Introduced a new utility module `providerParams.ts` for managing provider-specific parameters, including OpenAI, Anthropic, and Gemini configurations. - Added functions to retrieve service tiers, specific parameters, and reasoning efforts for various providers, improving overall provider management. * feat: enhance OpenAI model handling with utility function - Introduced `isOpenAIChatCompletionOnlyModel` utility function to determine if a model ID corresponds to OpenAI's chat completion-only models. - Updated `createBaseModel` function to utilize the new utility for improved handling of OpenAI provider responses in strict mode. - Refactored reasoning parameters in `getOpenAIReasoningParams` for consistency and clarity. * refactor: remove providerParams utility module * feat: add web search plugin for enhanced AI provider capabilities - Introduced a new `webSearchPlugin` to provide unified web search functionality across multiple AI providers. - Added helper functions for adapting web search parameters for OpenAI, Gemini, and Anthropic providers. - Updated the built-in plugin index to export the new web search plugin and its configuration type. - Created a new `helper.ts` file to encapsulate web search adaptation logic and support checks for provider compatibility. * chore: migrate to v5 * refactor: migrate to v5 patch-1 * fix: unexpected chunk * refactor: streamline model configuration and factory functions - Updated the `createModel` function to accept a simplified `ModelConfig` interface, enhancing clarity and usability. - Refactored `createBaseModel` to destructure parameters for better readability and maintainability. - Removed the `ModelCreator.ts` file as its functionality has been integrated into the factory functions. - Adjusted type definitions in `types.ts` to reflect changes in model configuration structure, ensuring consistency across the codebase. * refactor: migrate to v5 patch-2 * fix(provider): config error * fix(provider): config error patch-1 * feat: support image * refactor: enhance model configuration and plugin execution - Simplified the `createModel` function to directly accept the `ModelConfig` object, improving clarity. - Updated `createBaseModel` to include `extraModelConfig` for extended configuration options. - Introduced `executeConfigureContext` method in `PluginManager` to handle context configuration for plugins. - Adjusted type definitions in `types.ts` to ensure consistency with the new configuration structure. - Refactored plugin execution methods in `PluginEngine` to utilize the resolved model directly, enhancing the flow of data through the plugin system. * fix: openai-gemini support * refactor: update type exports and enhance web search functionality - Added `ReasoningPart`, `FilePart`, and `ImagePart` to type exports in `index.ts`. - Refactored `transformParameters.ts` to include `enableWebSearch` option and integrate web search tools. - Introduced new utility `getWebSearchTools` in `websearch.ts` to manage web search tool configurations based on model type. - Commented out deprecated code in `smoothReasoningPlugin.ts` and `textPlugin.ts` for potential removal. * fix: format apihost * feat: add XAI provider options and enhance web search plugin - Introduced `createXaiOptions` function for XAI provider configuration. - Added `XaiProviderOptions` type and validation schema in `xai.ts`. - Updated `ProviderOptionsMap` to include XAI options. - Enhanced `webSearchPlugin` to support XAI-specific search parameters. - Refactored helper functions to integrate new XAI options into provider configurations. * feat: conditionally enable web search plugin based on configuration - Updated the logic to add the `webSearchPlugin` only if `middlewareConfig.enableWebSearch` is true. - Added comments to clarify the use of default search parameters and configuration options. * feat: aihubmix support * refactor: improve web search plugin and middleware integration - Cleaned up the web search plugin code by commenting out unused sections for clarity. - Enhanced middleware handling for the OpenAI provider by wrapping the logic in a block for better readability. - Removed redundant imports from various files to streamline the codebase. - Added `enableWebSearch` parameter to the fetchChatCompletion function for improved functionality. * fix: azure-openai provider * feat: enhance web search plugin configuration - Added `sources` array to the default web search configuration, allowing for multiple source types including 'web', 'x', and 'news'. - This update improves the flexibility and functionality of the web search plugin. * chore: update ai package version to 5.0.0-beta.9 in package.json and yarn.lock * feat: enhance model handling and provider integration - Updated `createBaseModel` to differentiate between OpenAI chat and response models. - Introduced new utility functions for model identification: `isOpenAIReasoningModel`, `isOpenAILLMModel`, and `getModelToProviderId`. - Improved `transformParameters` to conditionally set the system prompt based on the assistant's prompt. - Refactored `getAiSdkProviderIdForAihubmix` to simplify provider identification logic. - Enhanced `getAiSdkProviderId` to support provider type checks. * feat: enhance web search plugin and tool handling - Refactored `helper.ts` to export new types `AnthropicSearchInput` and `AnthropicSearchOutput` for better integration with the web search plugin. - Updated `index.ts` to include the new types in the exports for improved type safety. - Modified `AiSdkToChunkAdapter.ts` to handle tool calls more flexibly by introducing a `GenericProviderTool` type, allowing for better differentiation between MCP tools and provider-executed tools. - Adjusted `handleTooCallChunk.ts` to accommodate the new tool type structure, enhancing the handling of tool call responses. - Updated type definitions in `index.ts` to reflect changes in tool handling logic. * feat: enhance provider settings and model configuration - Updated `ModelConfig` to include a `mode` property for better differentiation between 'chat' and 'responses'. - Modified `createBaseModel` to conditionally set the provider based on the new `mode` property in `providerSettings`. - Refactored `RuntimeExecutor` to utilize the updated `ModelConfig` for improved type safety and clarity in provider settings. - Adjusted imports in `executor.ts` and `types.ts` to align with the new model configuration structure. * feat: enhance AiSdkToChunkAdapter for web search results handling - Updated `AiSdkToChunkAdapter` to include `webSearchResults` in the final output structure for improved web search integration. - Modified `convertAndEmitChunk` method to handle `finish-step` events, differentiating between Google and other web search results. - Adjusted the handling of `source` events to accumulate web search results for better processing. - Enhanced citation formatting in `messageBlock.ts` to support new web search result structures. * feat: integrate web search tool and enhance tool handling - Added `webSearchTool` to facilitate web search functionality within the SDK. - Updated `AiSdkToChunkAdapter` to utilize `BaseTool` for improved type handling. - Refactored `transformParameters` to support `webSearchProviderId` for enhanced web search integration. - Introduced new `BaseTool` type structure to unify tool definitions across the codebase. - Adjusted imports and type definitions to align with the new tool handling logic. * feat: enhance web search functionality and tool integration - Introduced `extractSearchKeywords` function to facilitate keyword extraction from user messages for web searches. - Updated `webSearchTool` to streamline the execution of web searches without requiring a request ID. - Enhanced `WebSearchService` methods to be static for improved accessibility and clarity. - Modified `ApiService` to pass `webSearchProviderId` for better integration with the web search functionality. - Improved `ToolCallChunkHandler` to handle built-in tools more effectively. * feat: add type property to server tools in MCPService - Enhanced the server tool structure by adding a `type` property set to 'mcp' for better identification and handling of tools within the MCPService. * chore: update dependencies and versions in package.json and yarn.lock - Upgraded various SDK packages to their latest beta versions for improved functionality and compatibility. - Updated `@ai-sdk/provider-utils` to version 3.0.0-beta.3. - Adjusted dependencies in `package.json` to reflect the latest versions, including `@ai-sdk/amazon-bedrock`, `@ai-sdk/anthropic`, `@ai-sdk/azure`, and others. - Removed outdated versions from `yarn.lock` and ensured consistency across the project. * fix: update provider identification logic in aiCore - Refactored the provider identification in `index_new.ts` to use `actualProvider.type` instead of `actualProvider.id` for better clarity and accuracy in determining OpenAI response modes. - Removed redundant type checks in `factory.ts` to streamline the provider ID retrieval process. * chore: update package dependencies and improve AI SDK chunk handling - Bumped versions of several dependencies in package.json, including `@swc/plugin-styled-components` to 8.0.4 and `@vitejs/plugin-react-swc` to 3.10.2. - Enhanced `AiSdkToChunkAdapter` to streamline chunk processing, including better handling of text and reasoning events. - Added console logging for debugging in `BlockManager` and `messageThunk` to track state changes and callback executions. - Updated integration tests to reflect changes in message structure and types. * refactor: reorganize AiSdkToChunkAdapter and enhance tool call handling - Moved AiSdkToChunkAdapter to a new directory structure for better organization. - Implemented detailed handling for tool call events in ToolCallChunkHandler, including creation, updates, and completions. - Added a new method to handle tool call creation and improved state management for active tool calls. - Updated StreamProcessingService to support new chunk types and callbacks for block creation. - Enhanced type definitions and added comments for clarity in the new chunk handling logic. * refactor: enhance provider settings and update web search plugin configuration - Updated providerSettings to allow optional 'mode' parameter for various providers, enhancing flexibility in model configuration. - Refactored web search plugin to integrate Google search capabilities and streamline provider options handling. - Removed deprecated code and improved type definitions for better clarity and maintainability. - Added console logging for debugging purposes in the provider configuration process. * chore: add repository metadata and homepage to package.json - Included repository URL, bugs URL, and homepage in package.json for better project visibility and issue tracking. - This update enhances the package's metadata, making it easier for users to find relevant resources and report issues. * chore: remove deprecated patches for @ai-sdk/google-vertex and @ai-sdk/openai-compatible - Deleted outdated patch files for @ai-sdk/google-vertex and @ai-sdk/openai-compatible from the project. - Updated package.json to reflect the removal of these patches, streamlining dependency management. * chore: update package.json and add tsdown configuration for build process - Changed the main and types entries in package.json to point to the dist directory for better output management. - Added a new tsdown.config.ts file to define the build configuration, specifying entry points, output directory, and formats for the project. * chore(aiCore/version): update version to 1.0.0-alpha.0 * feat: enhance AI core functionality and introduce new tool components - Updated README to reflect the addition of a powerful plugin system and built-in web search capabilities. - Refactored tool call handling in `ToolCallChunkHandler` to improve state management and response formatting. - Introduced new components `MessageMcpTool`, `MessageTool`, and `MessageTools` for better handling of tool responses and user interactions. - Updated type definitions to support new tool response structures and improved overall code organization. - Enhanced spinner component to accept React nodes for more flexible content rendering. * feat: add React Native support to aiCore package Add React Native compatibility configuration to package.json, including the react-native field and updated exports mapping. Include documentation for React Native usage with metro.config.js setup instructions. * chore: bump @cherrystudio/ai-core version to 1.0.0-alpha.1 * chore: bump @cherrystudio/ai-core version to 1.0.0-alpha.2 and update exports - Updated version in package.json to 1.0.0-alpha.2. - Added new path mapping for @cherrystudio/ai-core in tsconfig.web.json. - Refactored export paths in tsdown.config.ts and index.ts for consistency. - Cleaned up type exports in index.ts and types.ts for better organization. * refactor: reorganize provider and model exports for improved structure - Updated exports in index.ts and related files to streamline provider and model management. - Introduced a new ModelCreator module for better encapsulation of model creation logic. - Refactored type imports to enhance clarity and maintainability across the codebase. - Removed deprecated provider configurations and cleaned up unused code for better performance. * chore: update @cherrystudio/ai-core version to 1.0.0-alpha.4 and clean up dependencies - Bumped version in package.json to 1.0.0-alpha.4. - Removed deprecated dependencies from package.json and yarn.lock for improved clarity. - Updated README to reflect changes in supported providers and installation instructions. - Refactored provider registration and usage examples for better clarity and usability. * refactor: streamline AI provider registration by replacing dynamic imports with direct creator functions - Updated the AiProviderRegistry to use direct references to creator functions for each AI provider, improving clarity and performance. - Removed dynamic import statements for providers, simplifying the registration process and enhancing maintainability. * chore: bump @cherrystudio/ai-core version to 1.0.0-alpha.5 - Updated version in package.json to 1.0.0-alpha.5. - Enhanced provider configuration validation in createProvider function for improved error handling. * docs: update AI SDK architecture and README for enhanced clarity and new features - Revised AI SDK architecture diagram to reflect changes in component relationships, replacing PluginEngine with RuntimeExecutor. - Updated README to highlight core features, including a refined plugin system, improved architecture design, and new built-in plugins. - Added detailed examples for using built-in plugins and creating custom plugins, enhancing documentation for better usability. - Included future version roadmap and related resources for user reference. * feat: enhance web search tool functionality and type definitions - Introduced new `WebSearchToolOutputSchema` type to standardize output from web search tools. - Updated `webSearchTool` and `webSearchToolWithExtraction` to utilize Zod for input and output schema validation. - Refactored tool execution logic to improve error handling and response formatting. - Cleaned up unused type imports and comments for better code clarity. * fix: conditionally enable reasoning middleware for OpenAI and Azure providers - Added a check to enable the 'thinking-tag-extraction' middleware only if reasoning is enabled in the configuration for OpenAI and Azure providers. - Commented out the provider type check in `getAiSdkProviderId` to prevent issues with retrieving provider options. * feat: update OpenAI provider integration and enhance type definitions - Bumped version of `@ai-sdk/openai-compatible` to 1.0.0-beta.8 in package.json. - Introduced a new provider configuration for 'OpenAI Responses' in AiProviderRegistry, allowing for more flexible response handling. - Updated type definitions to include 'openai-responses' in ProviderSettingsMap for improved type safety. - Refactored getModelToProviderId function to return a more specific ProviderId type. * feat: enhance ToolCallChunkHandler with detailed chunk handling and remove unused plugins - Updated `handleToolCallCreated` method to support additional chunk types with optional provider metadata. - Removed deprecated `smoothReasoningPlugin` and `textPlugin` files to clean up the codebase. - Cleaned up unused type imports in `tool.ts` for improved clarity and maintainability. * <type>: <subject> <body> <footer> 用來簡要描述影響本次變動，概述即可 * refactor: update message handling in searchOrchestrationPlugin for improved type safety - Replaced `Message` type with `ModelMessage` in various functions to enhance type consistency. - Refactored `getMessageContent` function to utilize the new `ModelMessage` type for better content extraction. - Updated `storeConversationMemory` and `analyzeSearchIntent` functions to align with the new type definitions, ensuring clearer memory storage and intent analysis processes. * chore: bump @cherrystudio/ai-core version to 1.0.0-alpha.6 and refactor web search tool - Updated version in package.json to 1.0.0-alpha.6. - Simplified response structure in ToolCallChunkHandler by removing unnecessary nesting. - Refactored input schema for web search tool to enhance type safety and clarity. - Cleaned up commented-out code in MessageTool for improved readability. * refactor: consolidate queue utility imports in messageThunk.ts - Combined separate imports of `getTopicQueue` and `waitForTopicQueue` from the queue utility into a single import statement for improved code clarity and organization. * feat: implement knowledge search tool and enhance search orchestration logic - Added a new `knowledgeSearchTool` to facilitate knowledge base searches based on user queries and intent analysis. - Refactored `analyzeSearchIntent` to simplify message context construction and improve prompt formatting. - Introduced a flag to prevent concurrent analysis processes in `searchOrchestrationPlugin`. - Updated tool configuration logic to conditionally add the knowledge search tool based on the presence of knowledge bases and user settings. - Cleaned up commented-out code for better readability and maintainability. * refactor: enhance search orchestration and web search tool integration - Updated `searchOrchestrationPlugin` to improve handling of assistant configurations and prevent concurrent analysis. - Refactored `webSearchTool` to utilize pre-extracted keywords for more efficient web searches. - Introduced a new `MessageKnowledgeSearch` component for displaying knowledge search results. - Cleaned up commented-out code and improved type safety across various components. - Enhanced the integration of web search results in the UI for better user experience. * refactor: streamline async function syntax and enhance plugin event handling - Simplified async function syntax in `RuntimeExecutor` and `PluginEngine` for improved readability. - Updated `AiSdkToChunkAdapter` to refine condition checks for Google metadata. - Enhanced `searchOrchestrationPlugin` to log conversation messages and improve memory storage logic. - Improved memory processing by ensuring fallback for existing memories. - Added new citation block handling in `toolCallbacks` for better integration with web search results. * feat: integrate image generation capabilities and enhance testing framework - Added support for image generation in the `RuntimeExecutor` with a new `generateImage` method. - Updated `aiCore` package to include `vitest` for testing, with new test scripts added. - Enhanced type definitions to accommodate image model handling in plugins. - Introduced new methods for resolving and executing image generation with plugins. - Updated package dependencies in `package.json` to include `vitest` and ensure compatibility with new features. * refactor: enhance image generation handling and tool integration - Updated image generation logic to support new model types and improved size handling. - Refactored middleware configuration to better manage tool usage and reasoning capabilities. - Introduced new utility functions for checking model compatibility with image generation. - Enhanced the integration of plugins for improved functionality during image generation processes. - Removed deprecated knowledge search tool to streamline the codebase. * refactor: migrate to v5 patch-1 * fix: migrate to v5-patch2 * refactor: restructure aiCore for improved modularity and legacy support - Introduced a new `index_new.ts` file to facilitate the modern AI provider while maintaining backward compatibility with the legacy `index.ts`. - Created a `legacy` directory to house existing clients and middleware, ensuring a clear separation from new implementations. - Updated import paths across various modules to reflect the new structure, enhancing code organization and maintainability. - Added comprehensive middleware and utility functions to support the new architecture, improving overall functionality and extensibility. - Enhanced plugin management with a dedicated `PluginBuilder` for better integration and configuration of AI plugins. * chore(yarn.lock): remove deprecated provider entries and clean up dependencies * chore(package.json): bump version to 1.0.0-alpha.7 * feat(tests): add unit tests for utility functions in utils.test.ts - Implemented tests for `createErrorChunk`, `capitalize`, and `isAsyncIterable` functions. - Ensured comprehensive coverage for various input scenarios, including error handling and edge cases. * feat(aiCore): enhance AI SDK with tracing and telemetry support - Integrated tracing capabilities into the ModernAiProvider, allowing for better tracking of AI completions and image generation processes. - Added a new TelemetryPlugin to inject telemetry data into AI SDK requests, ensuring compatibility with existing tracing systems. - Updated middleware and plugin configurations to support topic-based tracing, improving the overall observability of AI interactions. - Introduced comprehensive logging throughout the AI SDK processes to facilitate debugging and performance monitoring. - Added unit tests for new functionalities to ensure reliability and maintainability. * fix: update MessageKnowledgeSearch to use knowledgeReferences - Modified MessageKnowledgeSearch component to display additional context from toolInput. - Updated the fetch complete message to reflect the count of knowledgeReferences instead of toolOutput. - Adjusted the mapping of results to iterate over knowledgeReferences for rendering. * refactor(aiCore): update ModernAiProvider constructor and clean up unused code - Modified the constructor of ModernAiProvider to accept an optional provider parameter, enhancing flexibility in provider selection. - Removed deprecated and unused functions related to search keyword extraction and search summary fetching, streamlining the codebase. - Updated import statements and adjusted related logic to reflect the removal of obsolete functions, improving maintainability. * feat(Dropdown): replace RightOutlined with ChevronRight icon and update useIcons to use ChevronDown - Introduced a patch to replace the RightOutlined icon with ChevronRight in the Dropdown component for improved visual consistency. - Updated the useIcons hook to utilize ChevronDown instead of DownOutlined, enhancing the icon set with Lucide icons. - Adjusted icon properties for better customization and styling options. * feat(aiCore): add enableUrlContext capability and new support function - Enhanced the buildStreamTextParams function to include enableUrlContext in the capabilities object, improving the parameter set for AI interactions. - Introduced a new isSupportedFlexServiceTier function to streamline model support checks, enhancing code clarity and maintainability. * chore: update dependencies and remove unused patches - Updated various package versions in yarn.lock for improved compatibility and performance. - Removed obsolete patches for antd and openai, streamlining the dependency management. - Adjusted icon imports in Dropdown and useIcons to utilize Lucide icons for better visual consistency. * refactor(types): update ProviderId type definition for better compatibility - Changed ProviderId type from a union of keyof ExtensibleProviderSettingsMap and string to an intersection, enhancing type safety. - Renamed appendTrace method to appendMessageTrace in SpanManagerService for clarity and consistency. - Updated references to appendTrace in useMessageOperations and ApiService to use the new method name. - Added a new appendTrace method in SpanManagerService to bind existing traces, improving trace management. - Adjusted topicId handling in fetchMessagesSummary to default to an empty string for better consistency. * refactor(types): modify ProviderId type definition for improved flexibility - Updated ProviderId type from an intersection of keyof ExtensibleProviderSettingsMap and string to a union, allowing for greater compatibility with dynamic provider settings. * fix: file name * fix: missing dependencies * fix: remove default renderer from MessageTool * feat(provider): enhance provider registration and validation system - Introduced a new Zod-based schema for provider validation, improving type safety and consistency. - Added support for dynamic provider IDs and enhanced the provider registration process. - Updated the AiProviderRegistry to utilize the new validation functions, ensuring robust provider management. - Added tests for the provider registry to validate dynamic imports and functionality. - Updated yarn.lock to reflect the latest dependency versions. * feat(toolUsePlugin): enhance tool parsing and extraction functionality - Updated the `defaultParseToolUse` function to return both parsed results and remaining content, improving usability. - Introduced a new `TagExtractor` class for flexible tag extraction, supporting various tag formats. - Modified type definitions to reflect changes in parsing function signatures. - Enhanced handling of tool call events in the `ToolCallChunkHandler` for better integration with the new parsing logic. - Added `isBuiltIn` property to the `MCPTool` interface for clearer tool categorization. * feat(aiCore): update vitest version and enhance provider validation - Upgraded `vitest` dependency to version 3.2.4 in package.json and yarn.lock for improved testing capabilities. - Removed console error logging in provider validation functions to streamline error handling. - Added comprehensive tests for the AiProviderRegistry functionality, ensuring robust provider management and dynamic registration. - Introduced new test cases for provider schemas to validate configurations and IDs. - Deleted outdated registry test file to maintain a clean test suite. * feat(toolUsePlugin): refactor tool execution and event management - Extracted `StreamEventManager` and `ToolExecutor` classes from `promptToolUsePlugin.ts` to improve code organization and reduce complexity. - Enhanced tool execution logic with better error handling and event management. - Updated the `createPromptToolUsePlugin` function to utilize the new classes for cleaner implementation. - Improved recursive call handling and result formatting for tool executions. - Streamlined the overall flow of tool calls and event emissions within the plugin. * feat(dependencies): update ai-sdk packages and improve logging - Upgraded `@ai-sdk/gateway` to version 1.0.8 and `@ai-sdk/provider-utils` to version 3.0.4 in yarn.lock for enhanced functionality. - Updated `ai` dependency in package.json to version ^5.0.16 for better compatibility. - Added logging functionality in `AiSdkToChunkAdapter` to track chunk types and improve debugging. - Refactored plugin imports to streamline code and enhance readability. - Removed unnecessary console logs in `searchOrchestrationPlugin` to clean up the codebase. * feat(dependencies): update ai-sdk packages and improve type safety - Upgraded multiple `@ai-sdk` packages in `yarn.lock` and `package.json` to their latest versions for enhanced functionality and compatibility. - Improved type safety in `searchOrchestrationPlugin` by adding optional chaining to handle potential undefined values in knowledge bases. - Cleaned up dependency declarations to use caret (^) for versioning, ensuring compatibility with future updates. * feat(aiCore): enhance tool response handling and type definitions - Updated the ToolCallChunkHandler to support both MCPTool and NormalToolResponse types, improving flexibility in tool response management. - Refactored type definitions for MCPToolResponse and introduced NormalToolResponse to better differentiate between tool response types. - Enhanced logging in MCP utility functions for improved error tracking and debugging. - Cleaned up type imports and ensured consistent handling of tool responses across various chunks. * feat(tools): refactor MemorySearchTool and WebSearchTool for improved response handling - Updated MemorySearchTool to utilize aiSdk for better integration and removed unused imports. - Refactored WebSearchTool to streamline search results handling, changing from an array to a structured object for clarity. - Adjusted MessageTool and MessageWebSearchTool components to reflect changes in tool response structure. - Enhanced error handling and logging in tool callbacks for improved debugging and user feedback. * feat(aiCore): update ai-sdk-provider and enhance message conversion logic - Upgraded `@openrouter/ai-sdk-provider` to version ^1.1.2 in package.json and yarn.lock for improved functionality. - Enhanced `convertMessageToSdkParam` and related functions to support additional model parameters, improving message conversion for various AI models. - Integrated logging for error handling in file processing functions to aid in debugging and user feedback. - Added support for native PDF input handling based on model capabilities, enhancing file processing features. * feat(dependencies): update @ai-sdk/openai and @ai-sdk/provider-utils versions - Upgraded `@ai-sdk/openai` to version 2.0.19 in `yarn.lock` and `package.json` for improved functionality and compatibility. - Updated `@ai-sdk/provider-utils` to version 3.0.5, enhancing dependency management. - Added `TypedToolError` type export in `index.ts` for better error handling. - Removed unnecessary console logs in `webSearchPlugin` for cleaner code. - Refactored type handling in `createProvider` to ensure proper type assertions. - Enforced `topicId` as a required field in the `ModernAiProvider` configuration for stricter validation. * [WIP]refactor(aiCore): restructure models and introduce ModelResolver - Removed outdated ConfigManager and factory files to streamline model management. - Added ModelResolver for improved model ID resolution, supporting both traditional and namespaced formats. - Introduced DynamicProviderRegistry for dynamic provider management, enhancing flexibility in model handling. - Updated index exports to reflect the new structure and maintain compatibility with existing functionality. * feat(aiCore): introduce Hub Provider and enhance provider management - Added a new example file demonstrating the usage of the Hub Provider for routing to multiple underlying providers. - Implemented the Hub Provider to support model ID parsing and routing based on a specified format. - Refactored provider management by introducing a Registry Management class for better organization and retrieval of provider instances. - Updated the Provider Initializer to streamline the initialization and registration of providers, enhancing overall flexibility and usability. - Removed outdated files related to provider creation and dynamic registration to simplify the codebase. * feat(aiCore): enhance dynamic provider registration and refactor HubProvider - Introduced dynamic provider registration functionality, allowing for flexible management of providers through a new registry system. - Refactored HubProvider to streamline model resolution and improve error handling for unsupported models. - Added utility functions for managing dynamic providers, including registration, cleanup, and alias resolution. - Updated index exports to include new dynamic provider APIs, enhancing overall usability and integration. - Removed outdated provider files and simplified the provider management structure for better maintainability. * chore(aiCore): bump version to 1.0.0-alpha.9 in package.json * feat(aiCore): add MemorySearchTool and WebSearchTool components - Introduced MessageMemorySearch and MessageWebSearch components for handling memory and web search tool responses. - Updated MemorySearchTool and WebSearchTool to improve response handling and integrate with the new components. - Removed unused console logs and streamlined code for better readability and maintainability. - Added new dependencies in package.json for enhanced functionality. * refactor(aiCore): improve type handling and response structures - Updated AiSdkToChunkAdapter to refine web search result handling. - Modified McpToolChunkMiddleware to ensure consistent type usage for tool responses. - Enhanced type definitions in chunk.ts and index.ts for better clarity and type safety. - Adjusted MessageWebSearch styles for improved UI consistency. - Refactored parseToolUse function to align with updated MCPTool response structures. * feat(aiCore): enhance provider management and registration system - Added support for a new provider configuration structure in package.json, enabling better integration of provider types. - Updated tsdown.config.ts to include new entry points for provider modules, improving build organization. - Refactored index.ts to streamline exports and enhance type handling for provider-related functionalities. - Simplified provider initialization and registration processes, allowing for more flexible provider management. - Improved type definitions and removed deprecated methods to enhance code clarity and maintainability. * chore(aiCore): bump version to 1.0.0-alpha.10 in package.json * fix(aiCore): update tool call status and enhance execution flow - Changed tool call status from 'invoking' to 'pending' for better clarity in execution state. - Updated the tool execution logic to include user confirmation for non-auto-approved tools, improving user interaction. - Refactored the handling of experimental context in the tool execution parameters to support chunk streaming. - Commented out unused tool input event cases in AiSdkToChunkAdapter for cleaner code. * feat(types): add VertexProvider type for Google Cloud integration Introduced a new VertexProvider type that includes properties for Google credentials and project details, enhancing type safety and support for Google Cloud functionalities. * refactor(logging): 将console替换为logger以统一日志管理 * fix(i18n): 更新多语言文件中 websearch.fetch_complete 的翻译格式 统一将“已完成 X 次搜索”改为“X 个搜索结果”格式，并添加 avatar.builtin 字段翻译 * refactor(aiCore): streamline type exports and enhance provider registration Removed unused type exports from the aiCore module and consolidated type definitions for better clarity. Updated provider registration tests to reflect new configurations and improved error handling for non-existent providers. Enhanced the overall structure of the provider management system, ensuring better type safety and consistency across the codebase. * chore(dependencies): update ai and related packages to version 5.0.26 and 1.0.15 Updated the 'ai' package to version 5.0.26 and '@ai-sdk/gateway' to version 1.0.15. Also, updated '@ai-sdk/provider-utils' to version 3.0.7 and 'eventsource-parser' to version 3.0.5. Adjusted type definitions in aiCore for better type safety in plugin parameters and results. * chore(config): add new aliases for ai-core in Vite and TypeScript configuration Updated the Vite and TypeScript configuration files to include new path aliases for the ai-core package, enhancing module resolution for core providers and built-in plugins. This change improves the organization and accessibility of the ai-core components within the project. * feat(release): update version to 1.6.0-beta.1 and enhance release notes with new features, improvements, and bug fixes - Integrated a new AI SDK architecture for better performance - Added OCR functionality for image text recognition - Introduced a code tools page with environment variable settings - Enhanced the MCP server list with search capabilities - Improved SVG preview and HTML content rendering - Fixed multiple issues including document preprocessing failures and path handling on Windows - Optimized performance and memory usage across various components * refactor(modelResolver): replace ':' with '|' as the default separator for model IDs Updated the ModelResolver and related components to use '|' as the default separator instead of ':'. This change improves compatibility and resolves potential conflicts with model ID suffixes. Adjusted model resolution logic accordingly to ensure consistent behavior across the application. * feat(aihubmix): add 'type' property to provider configuration for Gemini integration * refactor(errorHandling): improve error serialization and update error handling in callbacks - Updated the error handling in the `onError` callback to use `AISDKError` type for better type safety. - Introduced a new `serializeError` function to standardize error serialization. - Modified the `ErrorBlock` component to directly access the error message. - Removed deprecated error formatting functions to streamline the error utility module. * feat(i18n): add error detail translations and enhance error handling UI - Added new translation keys for error details in multiple languages, including 'detail', 'details', 'message', 'requestBody', 'requestUrl', 'stack', and 'status'. - Updated the ErrorBlock component to display a modal with detailed error information, allowing users to view and copy error details easily. - Improved the user experience by providing a clear and accessible way to understand error messages and their context. * feat(inputbar): enhance MCP tools visibility with prompt tool support - Updated the Inputbar component to include the `isPromptToolUse` function, allowing for better visibility of MCP tools based on the assistant's capabilities. - This change improves user experience by expanding the conditions under which MCP tools are displayed. * refactor(aiCore): enhance completions methods with developer mode support - Introduced a check for developer mode in the completions methods to enable tracing capabilities when a topic ID is provided. - Updated the method signatures and internal calls to streamline the handling of completions with and without tracing. - Improved code organization by making the completionsForTrace method private and renaming it for clarity. * feat(ErrorBlock): add centered modal display for error details - Updated the ErrorBlock component to include a centered modal for displaying error details, enhancing the user interface and accessibility of error information. * chore(aiCore): update version to 1.0.0-alpha.11 and refactor model resolution logic - Bumped the version of the ai-core package to 1.0.0-alpha.11. - Removed the `isOpenAIChatCompletionOnlyModel` utility function to simplify model resolution. - Adjusted the `providerToAiSdkConfig` function to accept a model parameter for improved configuration handling. - Updated the `ModernAiProvider` class to utilize the new model parameter in its configuration. - Cleaned up deprecated code related to search keyword extraction and reasoning parameters. * fix(inputbar): conditionally display knowledge icon based on MCP tools visibility - Updated the Inputbar component to conditionally show the knowledge icon only when both `showKnowledgeIcon` and `showMcpTools` are true. This change enhances the visibility logic for the knowledge icon, improving the user interface based on the current context. * feat(aiCore): introduce provider configuration enhancements and initialization - Added a new provider configuration module to handle special provider logic and formatting. - Implemented asynchronous preparation of special provider configurations in the ModernAiProvider class. - Refactored provider initialization logic to support dynamic registration of new AI providers. - Updated utility functions to streamline provider option building and improve compatibility with new provider configurations. * refactor(aiCore): streamline provider options and enhance OpenAI handling - Simplified the OpenAI mode handling in the provider configuration. - Added service tier settings to provider-specific options for better configuration management. - Refactored the `buildOpenAIProviderOptions` function to remove redundant parameters and improve clarity. * refactor(aiCore): enhance temperature and TopP parameter handling - Updated `getTemperature` and `getTopP` functions to incorporate reasoning effort checks for Claude models. - Refactored logic to ensure temperature and TopP settings are only returned when applicable. - Improved clarity and maintainability of parameter retrieval functions. * feat(releaseNotes): update release notes with new features and improvements - Added a modal for detailed error information with multi-language support. - Enhanced AI Core with version upgrade and improved parameter handling. - Refactored error handling for better type safety and performance. - Removed deprecated code and improved provider initialization logic. * refactor(aiCore): clean up KnowledgeSearchTool and searchOrchestrationPlugin - Commented out unused parameters and code in the KnowledgeSearchTool to improve clarity and maintainability. - Removed the tool choice assignment in searchOrchestrationPlugin to streamline the logic. - Updated instructions handling in KnowledgeSearchTool to eliminate unnecessary fields. * chore(package): bump version to 1.6.0-beta.2 * refactor(transformParameters): 移除DEFAULT_MAX_TOKENS并替换console.log为logger.debug 移除未使用的DEFAULT_MAX_TOKENS常量，直接使用传入的maxTokens参数 将调试日志输出从console.log改为更规范的logger.debug * docs(OrchestrateService): 添加注释说明暂时未使用的类和函数用途 * feat(OrchestrateService): 添加提示变量替换功能 在调用API前替换assistant.prompt中的变量，以支持动态提示内容 * refactor(providers): 重构基础 providers 定义和类型导出 将基础 provider IDs 和 schema 定义移到文件顶部 移除从 baseProviders 动态生成 IDs 的逻辑 使用 satisfies 约束 baseProviders 类型 * refactor(aiCore): 重构provider选项构建逻辑以支持更多provider类型 重构buildProviderOptions函数，使用schema验证providerId并分为基础provider和自定义provider处理 新增对deepseek、openai-compatible等provider的支持 * feat(reasoning): 增强模型推理控制逻辑，支持更多提供商和模型类型 添加对Hunyuan、DeepSeek混合推理等模型的支持 优化OpenRouter、Qwen等提供商的推理控制逻辑 统一不同提供商的思考控制方式 添加日志记录和错误处理 * refactor(aiCore): improve provider registration and model resolution logic - Enhanced the model resolution logic to support dynamic provider IDs for chat modes. - Updated provider registration to handle both OpenAI and Azure with a unified approach for chat variants. - Refactored the `buildOpenAIProviderOptions` function to streamline parameter handling and removed unnecessary parameters. - Added configuration options for Azure to manage API versions and deployment URLs effectively. * feat(aiCore): 添加对智谱AI模型的支持 在getReasoningEffort函数中新增对智谱AI模型的支持逻辑，包括判断模型类型及设置对应的推理参数 * feat(翻译): 添加对Qwen MT模型翻译选项的特殊处理 添加对Qwen MT模型的支持，当助手类型为翻译时设置翻译选项。若目标语言不支持则抛出错误 * refactor(aiCore): 将console.log替换为logger.debug以改进日志记录 * refactor(aiCore): 提取 ModernAiProviderConfig 类型以复用 将多处重复的配置类型定义提取为 ModernAiProviderConfig 类型，提高代码可维护性 * refactor(services): 提取 FetchChatCompletionOptions 类型以提升代码可维护性 * refactor(ApiService): 重构 fetchChatCompletion 参数类型定义 将参数类型提取为独立的类型定义，支持 messages 或 prompt 两种参数形式 * fix(ApiService): 使FetchChatCompletionOptions参数变为可选 为了增加接口的灵活性，将options参数改为可选 * fix(ApiService): 修复prompt参数类型并添加消息转换逻辑 根据vercel/ai#8363问题，将prompt参数类型从StreamTextParams['prompt']改为string 当传入prompt参数时自动转换为messages格式 * refactor(translate): 重构语言检测功能，使用通用聊天接口替代专用接口 - 移除专用的语言检测接口 fetchLanguageDetection - 使用现有的 fetchChatCompletion 接口实现语言检测功能 - 处理 QwenMT 模型的特殊逻辑 - 优化语言检测的提示词和参数处理 * refactor(TranslateService): 重构翻译服务使用新的API接口 移除旧的翻译逻辑，改用新的fetchChatCompletion接口实现翻译功能 简化代码结构并移除不再需要的依赖 * feat(abortController): 添加readyToAbort函数用于创建并注册AbortController 提供便捷方法创建AbortController并自动注册到全局映射中，简化取消操作的流程 * feat(aiCore): 添加对文本增量累积的可配置支持 根据模型是否支持文本增量来决定是否累积文本内容，新增accumulate参数控制行为 * fix(translate): 修复翻译过程中中止控制器的错误处理 修正abortController.ts中中止控制器的回调函数调用方式 统一翻译错误消息的格式化处理 改进翻译服务的中止逻辑和错误传播 * docs(i18n): 添加请求路径的国际化翻译 * fix(api): 修复API检查时的错误处理和取消逻辑 添加对API检查过程中错误的处理，并支持通过abortController取消请求 避免空系统提示词导致的报错，优化检查流程的健壮性 * feat(mini窗口): 添加ErrorBoundary组件包裹内容 为mini窗口内容添加错误边界组件，防止未捕获错误导致整个应用崩溃 * feat(release): 更新版本至1.6.0-beta.3并添加新功能和优化 - 新增多个功能，包括ErrorBoundary组件、智谱AI模型支持、系统OCR功能、文件页面批量删除等 - 重构翻译服务和语言检测功能，提升扩展性和类型安全 - 修复多个问题，改善API检查和翻译过程中的错误处理 - 优化构建配置和性能，提升初始化效率 * test: 更新ApiService测试中ApiClientFactory的模拟路径 * refactor(vertexai): 将VertexAI配置检查从ApiClientFactory移至VertexAPIClient 重构VertexAI客户端的配置检查逻辑，将其从工厂类移动到具体的客户端实现类中 * test(aiCore): 更新客户端兼容性测试的mock数据 添加isOpenAIModel等mock函数用于测试 修复AnthropicVertexClient的mock路径 添加注释说明服务层不应调用React Hook * fix: 添加注释说明redux设置状态不应被服务层使用 * test(ActionUtils): 添加对ConversationService和models模块的mock测试 * test(Spinner): 更新快照 * test(ThinkingBlock): 移除不再需要的实时计时测试用例 * refactor(ThinkingBlock): 优化条件渲染逻辑以提高可读性 * test(streamCallback): 添加serializeError的mock实现 * fix(registry): enhance provider config validation and update error handling in tests - Added a check for null or undefined config in registerProviderConfig function. - Updated tests to ensure proper error messages are thrown when no providers are registered. - Adjusted mock implementations in generateImage tests to reflect changes in provider model identifiers. * refactor(aiCore): consolidate StreamTextParams type imports and enhance type definitions - Moved StreamTextParams type definition to a new file for better organization. - Updated imports across multiple files to reference the new location. - Adjusted related type definitions in ApiService and ConversationService for consistency. * feat(providerConfig): add AWS Bedrock support in provider configuration - Implemented AWS Bedrock integration by adding access key, region, and secret access key retrieval. - Enhanced providerToAiSdkConfig function to handle Bedrock-specific options. * fix(providerConfig): update Google Vertex AI import and creator function name - Changed the import path for Google Vertex AI to '@ai-sdk/google-vertex/edge'. - Updated the creator function name from 'createGoogleVertex' to 'createVertex' for consistency. * feat(providerConfig): implement API key rotation logic for providers - Added a new function to handle rotating API keys for providers, reusing legacy multi-key logic. - Updated the providerToAiSdkConfig function to utilize the new key rotation mechanism. - Enhanced TranslateService imports for better organization. * fix(aiCore): update file data and mediaType extraction in convertFileBlockToFilePart function - Modified the conversion logic to correctly extract base64 data and MIME type from the API response. - Ensured that the filename remains unchanged during the conversion process. * feat(aiCore): enhance file processing logic in convertFileBlockToFilePart function - Added support for handling image files and document types beyond PDF. - Implemented file size limit checks and fallback mechanisms for text extraction. - Improved logging for file processing outcomes, including success and failure cases. - Introduced functions to check model support for image input and large file uploads. * chore(release): update version to 1.6.0-beta.4 and enhance release notes - Updated version in package.json to 1.6.0-beta.4. - Revised release notes in electron-builder.yml to reflect new features, improvements, and bug fixes, including API key rotation, AWS Bedrock support, and enhanced file processing capabilities. * refactor(aiCore): restructure parameter handling and file processing modules - Removed the transformParameters module and replaced it with a more organized structure under prepareParams. - Introduced new modules for file processing, model capabilities, and parameter handling to improve code maintainability and clarity. - Updated relevant imports across services to reflect the new module structure. - Enhanced logging and error handling in file processing functions. * refactor(providerConfig): improve provider handling and configuration logic - Introduced formatPrivateKey utility for better private key management. - Updated handleSpecialProviders function to streamline provider type checks and error handling. - Enhanced providerToAiSdkConfig function to include Google Vertex AI configuration with private key formatting. - Removed commented-out code for clarity and maintainability. * chore(dependencies): update ai package version and enhance aiCore functionality - Updated the 'ai' package version from 5.0.26 to 5.0.29 in package.json and yarn.lock. - Refactored aiCore's provider schemas to introduce new provider types and improve type safety. - Enhanced the RuntimeExecutor class to streamline model handling and plugin execution for various AI tasks. - Updated tests to reflect changes in parameter handling and ensure compatibility with new provider configurations. * refactor(AiSdkToChunkAdapter): streamline web search result handling - Replaced the switch statement with a source mapping object for improved readability and maintainability. - Enhanced handling of various web search providers by mapping them to their respective sources. - Simplified the logic for processing web search results in the onChunk method. * chore: update release notes and version to 1.6.0-beta.5 - Enhanced web search functionality and optimized knowledge base settings for better performance. - Added automatic image generation for Gemini 2.5 Flash Image model and improved OCR service compatibility on Linux. - Refactored AI core architecture and improved message retry mechanisms. - Fixed various UI component issues and improved overall stability. * feat: enhance provider configuration and stream text parameters - Added maxRetries option to buildStreamTextParams for improved error handling. - Implemented custom fetch logic for 'cherryin' provider to include signature generation in requests. * chore: update release notes and version to 1.6.0-beta.6 - Refined performance optimizations for AI services and improved compatibility with various providers. - Enhanced error handling and stability in the ModernAiProvider class. - Updated version in package.json to 1.6.0-beta.6. * refactor(ErrorBlock): simplify CodeViewer component usage - Removed unnecessary props from CodeViewer in ErrorBlock for cleaner code and improved readability. * refactor(CodeViewer): change children prop type to React.ReactNode - Updated the children prop type in CodeViewer from string to React.ReactNode for improved flexibility in rendering various content types. * chore: update migration version and add migration logic for version 147 - Incremented migration version from 146 to 147. - Implemented migration logic to trim trailing slashes from the apiHost of the anthropic provider. * feat(错误处理): 增强AI SDK错误处理并添加国际化支持 添加AiSdkErrorUnion类型用于统一处理AI SDK错误 实现safeToString函数安全转换任意值为字符串 添加formatAiSdkError和formatError函数格式化错误信息 在ErrorBlock中重构错误详情展示逻辑，支持多种错误类型 补充国际化字段用于错误信息展示 * feat(i18n): 添加错误相关的多语言翻译字段 * feat(错误处理): 统一使用SerializedError类型处理错误并增强类型安全 重构错误处理逻辑，使用@reduxjs/toolkit的SerializedError类型统一处理错误 新增错误类型定义文件并扩展SerializedError接口 更新相关组件和工具函数以适配新的错误类型 * refactor(CodeViewer): make children prop optional for improved flexibility * feat(ErrorBlock): add success message on clipboard copy action * refactor(types): 重构错误类型定义并添加序列化功能 - 将 SerializedError 从 @reduxjs/toolkit 移至本地定义 - 添加 Serializable 类型和序列化工具函数 - 更新相关文件中的错误类型引用 - 实现安全序列化功能用于错误处理 * fix(错误处理): 修复错误块中显示错误信息的问题 修正错误块组件中错误信息的显示问题： 1. 修复BuiltinError组件中错误名称显示为消息的问题 2. 修复AiSdkError组件中原因显示为消息的问题 3. 修复AiApiCallError组件中各种字段显示为消息的问题 4. 使用CodeViewer组件正确显示JSON格式数据 5. 移除CodeViewer组件中不必要的children属性 6. 设置serialize默认pretty为true * feat(错误处理): 添加序列化错误类型检查函数并更新错误格式化逻辑 添加 isSerializedError 类型检查函数用于判断序列化错误 更新 formatError 和 formatAiSdkError 函数以处理序列化错误类型 修改 ErrorBlock 组件使用新的类型检查函数替代 instanceof 检查 * fix: 使用 SerializedError 类型替换 errorData 的 Record 类型 * fix: 为错误对象添加name和stack字段 在工具执行失败和数据库升级时，为错误对象补充name和stack字段以提供更完整的错误信息 * fix(错误处理): 使用JSON.stringify格式化响应头信息以提高可读性 * fix(ErrorBlock): 修复错误状态码检查逻辑以支持statusCode字段 * fix(ErrorBlock): 修复错误状态码检查逻辑以支持statusCode字段 * feat(AI Provider): Update image generation handling to use legacy implementation for enhanced features - Refactor image generation logic to utilize legacy completions for better support of image editing. - Introduce uiMessages as a required parameter for image generation endpoints. - Update related types and middleware configurations to accommodate new message structures. - Adjust ConversationService and OrchestrateService to handle model and UI messages separately. * docs(types): 添加prompt类型的注释 * feat: Update message handling to include optional uiMessages parameter - Modify BaseParams type to make uiMessages optional. - Refactor message preparation in HomeWindow and ActionUtils to handle modelMessages and uiMessages separately. - Ensure compatibility with updated message structures in fetchChatCompletion calls. * refactor(types): Enhance Serializable type to include SerializableValue for improved serialization handling - Updated Serializable type to use SerializableValue for better clarity and structure. - Ensured compatibility with nested objects and arrays in serialization logic. * refactor(serialize): 重命名 SerializableValue 为 SerializablePrimitive 以提高可读性 将 SerializableValue 类型重命名为 SerializablePrimitive 以更准确地反映其用途，仅包含基本类型 * Revert "refactor(serialize): 重命名 SerializableValue 为 SerializablePrimitive 以提高可读性" This reverts commit 8408a8d359. * docs(serialize): 添加注释 * feat(tests): Mock ConversationService to return modelMessages and uiMessages for improved test coverage - Updated the mock implementation of ConversationService in ActionUtils.test.ts to return structured modelMessages and uiMessages. - This change enhances the test setup by providing realistic message data for testing purposes. --------- Co-authored-by: suyao <sy20010504@gmail.com> Co-authored-by: one <wangan.cs@gmail.com> Co-authored-by: icarus <eurfelux@gmail.com>	2025-09-04 14:03:04 +08:00
Phantom	6376bbb9a7	fix: mcp-auto-install cannot start (#9015) ... * refactor(types): 将内置MCPServer类型从MCPServer分离并添加类型守卫 将内置MCPServer相关逻辑从通用MCPServer类型中分离，新增BuiltinMCPServer类型和类型守卫函数 * refactor(MCPService): 使用isBuiltinMCPServer检查内置服务器类型 修改传输层创建逻辑，通过isBuiltinMCPServer函数判断是否为内置服务器，并排除特定服务器 * refactor(types): 统一内置MCP服务器名称的键值格式并优化类型定义 将BuiltinMCPServers对象的键改为与值相同的格式，使结构更一致 同时简化BuiltinMCPServerName类型定义和isBuiltinMCPServerName检查逻辑 * refactor(types): 为内置MCP服务器名称添加类型定义 为`MCP_AUTO_INSTALL_SERVER_NAME`和`builtInMcpDescriptionKeyMap`添加`BuiltinMCPServerName`类型定义，提高类型安全性 * refactor(types): 重命名BuiltinMCPServers为BuiltinMCPServerNames以更准确描述用途 * style: 移除 TabContainer 组件中的多余空行 * refactor(mcpServers): 使用类型化的BuiltinMCPServerName替换字符串参数 将createInMemoryMCPServer函数的name参数从string类型改为BuiltinMCPServerName类型，提高类型安全性 * refactor(types): 重构内置MCPServer名称常量及类型定义 将BuiltinMCPServerNames的键名改为驼峰命名，并添加BuiltinMCPServerNamesArray常量 修改isBuiltinMCPServerName函数使用数组进行判断 * refactor(mcp): 使用枚举替换硬编码的服务器名称字符串	2025-08-27 22:46:42 +08:00
HydrogenE7	cd2d59c6a1	fix: onprogress handler error (#9540) ... Update MCPService.ts fix onprogress error	2025-08-26 17:10:21 +08:00
beyondkmp	4a62bb6ad7	refactor: replace axios and node fetch with electron's net module (#9212) ... * refactor: replace axios and node fetch with electron's net module for network requests in preprocess providers - Updated Doc2xPreprocessProvider and MineruPreprocessProvider to use net.fetch instead of axios for making HTTP requests. - Improved error handling for network responses across various methods. - Removed unnecessary AxiosRequestConfig and related code to streamline the implementation. * lint * refactor(Doc2xPreprocessProvider): enhance file validation and upload process - Added file size validation to prevent loading files larger than 300MB into memory. - Implemented file size check before reading the PDF to ensure efficient memory usage. - Updated the file upload method to use a stream, setting the 'Content-Length' header for better handling of large files. * refactor(brave-search): update net.fetch calls to use url.toString() - Modified all instances of net.fetch to use url.toString() for better URL handling. - Ensured consistency in how URLs are passed to the fetch method across various functions. * refactor(MCPService): improve URL handling in net.fetch calls - Updated net.fetch to use url.toString() for better type handling of URLs. - Ensured consistent URL processing across the MCPService class. * feat(ProxyManager): integrate axios with fetch proxy support - Added axios as a dependency to enable fetch proxy usage. - Implemented logic to set axios's adapter to 'fetch' for proxy handling. - Preserved original axios adapter for restoration when disabling the proxy.	2025-08-15 22:48:22 +08:00
亢奋猫	1c7b7a1a55	feat: add code tools (#9043) ... * feat: add code tools * feat(CodeToolsService): add CLI executable management and installation check - Introduced methods to determine the CLI executable name based on the tool. - Added functionality to check if a package is installed and create the necessary bin directory if it doesn't exist. - Enhanced the run method to handle installation and execution of CLI tools based on their installation status. - Updated terminal command handling for different operating systems with improved comments and error messages. * feat(ipService): implement IP address country detection and npm registry URL selection - Added a new module for IP address country detection using the ipinfo.io API. - Implemented functions to check if the user is in China and to return the appropriate npm registry URL based on the user's location. - Updated AppUpdater and CodeToolsService to utilize the new ipService functions for improved user experience based on geographical location. - Enhanced error handling and logging for better debugging and user feedback. * feat: remember cli model * feat(CodeToolsService): update options for auto-update functionality - Refactored the options parameter in CodeToolsService to replace checkUpdate and forceUpdate with autoUpdateToLatest. - Updated logic to handle automatic updates when the CLI tool is already installed. - Modified related UI components to reflect the new auto-update option. - Added corresponding translations for the new feature in multiple languages. * feat(CodeToolsService): enhance CLI tool launch with debugging support - Added detailed logging for CLI tool launch process, including environment variables and options. - Implemented a temporary batch file for Windows to facilitate debugging and command execution. - Improved error handling and cleanup for the temporary batch file after execution. - Updated terminal command handling to use the new batch file for safer execution. * refactor(CodeToolsService): simplify command execution output - Removed display of environment variable settings during command execution in the CLI tool. - Updated comments for clarity on the command execution process. * feat(CodePage): add model filtering logic for provider selection - Introduced a modelPredicate function to filter out embedding, rerank, and text-to-image models from the available providers. - Updated the ModelSelector component to utilize the new predicate for improved model selection experience. * refactor(CodeToolsService): improve logging and cleanup for CLI tool execution - Updated logging to display only the keys of environment variables during CLI tool launch for better clarity. - Introduced a variable to store the path of the temporary batch file for Windows. - Enhanced cleanup logic to remove the temporary batch file after execution, improving resource management. * feat(Router): replace CodePage with CodeToolsPage and add new page for code tools - Updated Router to import and route to the new CodeToolsPage instead of the old CodePage. - Introduced CodeToolsPage component, which provides a user interface for selecting CLI tools and models, managing directories, and launching code tools with enhanced functionality. * refactor(CodeToolsService): improve temporary file management and cleanup - Removed unused variable for Windows batch file path. - Added a cleanup task to delete the temporary batch file after 10 seconds to enhance resource management. - Updated logging to ensure clarity during the execution of CLI tools. * refactor(CodeToolsService): streamline environment variable handling for CLI tool execution - Introduced a utility function to remove proxy-related environment variables before launching terminal processes. - Updated logging to display only the relevant environment variable keys, enhancing clarity during execution. * refactor(MCPService, CodeToolsService): unify proxy environment variable handling - Replaced custom proxy removal logic with a shared utility function `removeEnvProxy` to streamline environment variable management across services. - Updated logging to reflect changes in environment variable handling during CLI tool execution.	2025-08-12 11:54:38 +08:00
LiuVaayne	d0b2f18d9a	feat: Support Cherry Studio as a Service (CSaaS) (#8098)	2025-07-30 12:38:07 +08:00
SuYao	26bd9203e1	feat: long run mcp (#8499) ... * feat(MCPService, MCPSettings, MessageTools): enhance long-running server support and UI integration - Added support for long-running server configurations in MCPService, allowing for timeout adjustments based on server settings. - Introduced a new `longRunning` property in MCPSettings to manage server behavior and UI elements accordingly. - Integrated a ProgressBar component in MessageTools to visually represent progress for long-running operations, improving user experience. * refactor(IpcChannel, MCPService, MessageTools): remove progress IPC channel and integrate progress handling - Removed the `Mcp_SetProgress` channel from `IpcChannel` and its associated handlers in `ipc.ts` and `preload/index.ts`. - Integrated progress handling directly in `McpService` to send progress updates to the main window. - Updated `MessageTools` to display progress using Ant Design's `Progress` component, enhancing the user interface for long-running operations. - Deleted the `ProgressBar` component as its functionality has been replaced by the new progress handling approach. * feat(MCPService): add maxTotalTimeout configuration for long-running operations - Introduced a new `maxTotalTimeout` property in MCPService to define a maximum timeout duration for long-running server operations, enhancing control over server behavior based on the `longRunning` setting. * refactor(MCPService): remove unused notification handler for cancelled operations * Removed the CancelledNotificationHandler from MCPService to streamline notification handling and improve code clarity. * Updated MessageTools component to simplify rendering logic for status indicators, enhancing readability and maintainability.	2025-07-26 11:08:32 +08:00
SuYao	ff649b9d49	fix: call tool bug (#8526)	2025-07-25 19:33:55 +08:00
fullex	c2086fdb15	refactor[Logger]: strict type check for Logger (#8363) ... * fix: strict type check of logger * feat: logger format in renderer * fix: error type	2025-07-23 13:24:03 +08:00
alickreborn0	3b123863b5	feat: Support LLM Tracing by Alibaba Cloud EDAS product (#7895) ... * feat: add tracing modules * Initial commit * fix: problem * fix: update trace web * fix: trace view * fix: trace view * fix: fix some problem * fix: knowledge and mcp trace * feat: save trace to user home dir * feat: open trace with electron browser window * fix: root trace outputs * feat: trace internationalization and add trace icon * feat: add trace title * feat: update * package.json添加windows运行script * feat: update window title * fix: mcp trace param * fix: error show * fix: listTool result * fix: merge error * feat: add stream usage and response * feat: change trace stream * fix: change stream adapter * fix: span detail show problem * fix: process show by time * fix: stream outputs * fix: merge problem * fix: stream outputs * fix: output text * fix: EDAS support text * fix: change trace footer style * fix: topicId is loaded multiple times * fix: span reload problem & attribute with cache * fix: refresh optimization * Change Powered by text. * resolve upstream conflicts * fix: build-time type exception * fix: exceptions not used when building * fix: recend no trace * fix: resend trace list * fix: delete temporary files * feat: trace for resend * fix: trace for resend message with edit * fix: directory structure and construction method of mcp-trace * fix: change CRLF to LF * fix: add function call outputs * Revert "fix: change CRLF to LF" * fix: reorganize multi-model display * fix: append model trace binding topic * fix: some problems * fix: code optimization * fix: delete async * fix: UI optimization * fix: sort import --------- Co-authored-by: 崔顺发 <csf01409784@alibaba-inc.com> Co-authored-by: 管鑫荣 <gxr01409783@alibaba-inc.com>	2025-07-20 14:53:35 +08:00
且以代码诉平生	4962f692a7	fix[McpService]: fix NotificationHandlers code duplicates (#8304)	2025-07-19 23:51:10 +08:00
fullex	7764ffc8bb	refactor[Logger]: replace console logging with logger service (#8271) ... * refactor: replace console logging with logger service across multiple components - Updated various files to utilize the logger service instead of console.log for improved logging consistency and error tracking. - Enhanced logging levels to better categorize messages, including debug and error levels. - Refactored logging in components such as ApiClientFactory, KnowledgeService, and MemoryProcessor to align with the new logging standards. * refactor: update logging level in App component from error to info - Changed the logging level in the App component to provide a more appropriate context for initialization messages, enhancing clarity in the logging output. * refactor(logging): replace console.log with logger service in middleware and update ESLint comments - Updated the logging implementation in the createSimpleLoggingMiddleware function to use logger.debug and logger.error instead of console.log and console.error for improved logging consistency. - Added eslint-disable comments for restricted syntax in preload and useAppInit hooks to suppress warnings.	2025-07-18 16:01:03 +08:00
fullex	40f9601379	refactor: Unified Logger / 统一日志管理 (#8207) ... * Revert "feat: optimize minapp cache with LRU (#8160)" This reverts commit f0043b4be5. * feat: integrate logger service and enhance logging throughout the application - Added a new LoggerService to standardize logging across the application. - Replaced console.error and console.warn calls with logger methods for improved consistency and error tracking. - Introduced a new IPC channel for logging messages to the main process. - Updated various components and services to utilize the new logging system, enhancing error handling and debugging capabilities. * refactor: enhance logging and error handling across various components - Integrated the LoggerService for consistent logging throughout the application. - Updated multiple components and services to utilize the new logging system, improving error tracking and debugging capabilities. - Refactored file handling and error management in several services to enhance reliability and clarity. - Improved the structure and readability of the codebase by removing redundant checks and simplifying logic. * chore: update TypeScript configuration and enhance test setup - Added test mock paths to tsconfig.web.json for improved test coverage. - Configured Vitest to include a setup file for main tests, ensuring consistent test environment. - Updated IPC logger context for better clarity in logging. - Enhanced LoggerService to handle undefined values gracefully. - Mocked LoggerService globally in renderer tests to streamline testing process. * refactor: standardize logging across ProxyManager and ReduxService - Replaced instances of Logger with logger for consistent logging implementation. - Improved logging clarity in ProxyManager's configureProxy method and ReduxService's state handling. - Enhanced error logging in ReduxService to align with the new logging system. * refactor: reorganize LoggerService for improved clarity and consistency - Moved the definition of SYSTEM_INFO, APP_VERSION, and DEFAULT_LEVEL to enhance code organization. - Simplified the getIsDev function in the renderer LoggerService for better readability. - Updated logging conditions to ensure messages are logged correctly based on context. * docs: add usage instructions for LoggerService and clean up logging code - Included important usage instructions for LoggerService in both English and Chinese. - Commented out the console transport in LoggerService to streamline logging. - Improved logging message formatting in MCPService for clarity. - Removed redundant logging statements in SelectionService to enhance code cleanliness. * refactor: update LoggerService documentation paths and enhance logging implementation - Changed the documentation paths for LoggerService usage instructions to `docs/technical/how-to-use-logger-en.md` and `docs/technical/how-to-use-logger-zh.md`. - Replaced console logging with the loggerService in various components, including `MCPSettings`, `BlockManager`, and multiple callback files, to ensure consistent logging practices across the application. - Improved the clarity and context of log messages for better debugging and monitoring. * docs: emphasize logger usage guidelines in documentation - Added a note in both English and Chinese documentation to discourage the use of `console.xxx` for logging unless necessary, promoting consistent logging practices across the application.	2025-07-18 09:40:56 +08:00
luoxu1314	f155b98a92	feat(MCPService):Add notification handlers and clear cache for MCPService (#8179) ... * feat(MCPService):Add notification handlers MCPService 添加了MCPService 接收通知更新对应list和其他追踪 * Update MCPService.ts:合并清理缓存	2025-07-16 09:39:10 +08:00
LiuVaayne	ee4553130b	[1.5.0-rc] feat(MCP): Add DXT format support for MCP server installation (#7618) ... * feat(MCP): Add DXT format support for MCP server installation - Add comprehensive DXT package upload and extraction functionality - Support for DXT manifest validation and MCP server configuration - Hierarchical UI structure: Quick Add | JSON Import | DXT Import - Variable substitution for DXT args (${__dirname} replacement) - Automatic cleanup of DXT server directories on removal - Enhanced error handling and connectivity checks - Full internationalization support (EN/CN) - Uses existing node-stream-zip for efficient extraction - Proper working directory setup for DXT-based servers 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * 🐛 fix(MCP): Fix DXT server installation and deletion issues - Replace fs.renameSync with cross-filesystem compatible moveDirectory method to handle temp->mcp directory moves across different mount points - Add recursive copy fallback when rename fails (ENOENT error fix) - Sanitize server names with slashes to prevent subdirectory creation during installation - Improve cleanupDxtServer to handle sanitized names and provide fallback lookup - Add proper error logging and directory existence warnings 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(MCP): Implement comprehensive DXT MCP configuration support - Add platform_overrides support to DXT manifest interface - Implement complete variable substitution system (${__dirname}, ${HOME}, ${DESKTOP}, ${DOCUMENTS}, ${pathSeparator}, ${user_config.KEY}) - Add platform detection utilities (getPlatformIdentifier) - Create resolved MCP configuration system with applyPlatformOverrides - Export ResolvedMcpConfig interface and utility functions - Integrate DXT configuration resolution into MCPService runtime - Support platform-specific command, args, and environment overrides - Add comprehensive logging for configuration resolution Addresses DXT MANIFEST.md mcp_configuration requirements: - Platform-specific configuration variations - Cross-platform variable substitution - Flexible command and environment management 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add downloads directory variable substitution and simplify platform detection --------- Co-authored-by: Claude <noreply@anthropic.com>	2025-07-14 22:37:56 +08:00
LiuVaayne	16ca373c55	✨ feat: add MCP server version display with badges (#8097)	2025-07-12 15:35:59 +08:00
SuYao	fba6c1642d	feat: implement tool call progress handling and status updates (#7303) ... * feat: implement tool call progress handling and status updates - Update MCP tool response handling to include 'pending' and 'cancelled' statuses. - Introduce new IPC channel for progress updates. - Enhance UI components to reflect tool call statuses, including pending and cancelled states. - Add localization for new status messages in multiple languages. - Refactor message handling logic to accommodate new tool response types. * fix: adjust alignment of action tool container in MessageTools component - Change justify-content from flex-end to flex-start to improve layout consistency. * feat: enhance tool confirmation handling and update related components - Introduced a new tool confirmation mechanism in userConfirmation.ts, allowing for individual tool confirmations. - Updated GeminiAPIClient and OpenAIResponseAPIClient to include tool configuration options. - Refactored MessageTools component to utilize new confirmation functions and improved styling. - Enhanced mcp-tools.ts to manage tool invocation and confirmation processes more effectively, ensuring real-time status updates. * refactor(McpToolChunkMiddleware): enhance tool execution handling and confirmation tracking - Updated createToolHandlingTransform to manage confirmed tool calls and results more effectively. - Refactored executeToolCalls and executeToolUseResponses to return both tool results and confirmed tool calls. - Adjusted buildParamsWithToolResults to utilize confirmed tool calls for building new request messages. - Improved error handling in messageThunk for tool call status updates, ensuring accurate block ID mapping. * feat(McpToolChunkMiddleware, ToolUseExtractionMiddleware, mcp-tools, userConfirmation): enhance tool execution and confirmation handling - Updated McpToolChunkMiddleware to execute tool calls and responses asynchronously, improving performance and response handling. - Enhanced ToolUseExtractionMiddleware to generate unique tool IDs for better tracking. - Modified parseToolUse function to accept a starting index for tool extraction. - Improved user confirmation handling with abort signal support to manage tool action confirmations more effectively. - Updated SYSTEM_PROMPT to clarify the use of multiple tools per message. * fix(tagExtraction): update test expectations for tag extraction results - Adjusted expected length of results from 7 to 9 to reflect changes in tag extraction logic. - Modified content assertions for specific tag contents to ensure accurate validation of extracted tags. * refactor(GeminiAPIClient, OpenAIResponseAPIClient): remove unused function calling configurations - Removed the unused FunctionCallingConfigMode from GeminiAPIClient to streamline the code. - Eliminated the parallel_tool_calls property from OpenAIResponseAPIClient, simplifying the tool call configuration. * feat(McpToolChunkMiddleware): enhance LLM response handling and tool call confirmation - Added notification to UI for new LLM response processing before recursive calls in createToolHandlingTransform. - Improved tool call confirmation logic in executeToolCalls to match tool IDs more accurately, enhancing response validation. * refactor(McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): remove unnecessary console logs - Eliminated redundant console log statements in McpToolChunkMiddleware, ToolUseExtractionMiddleware, and messageThunk to clean up the code and improve performance. - Focused on enhancing readability and maintainability by reducing clutter in the logging output. * refactor(McpToolChunkMiddleware): remove redundant logging statements - Eliminated unnecessary logging in createToolHandlingTransform to streamline the code and enhance readability. - Focused on reducing clutter in the logging output while maintaining error handling functionality. * feat: enhance action button functionality with cancel and confirm options * refactor(AbortHandlerMiddleware, McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): improve error handling and code clarity - Updated AbortHandlerMiddleware to skip abort status checks if an error chunk is received, enhancing error handling logic. - Replaced console.error with Logger.error in McpToolChunkMiddleware for consistent logging practices. - Refined ToolUseExtractionMiddleware to improve tool use extraction logic and ensure proper handling of tool_use tags. - Enhanced messageThunk to include initialPlaceholderBlockId in block ID checks, improving error state management. * refactor(ToolUseExtractionMiddleware): enhance tool use parsing logic with counter - Introduced a toolCounter to track the number of tool use responses processed. - Updated parseToolUse function calls to include the toolCounter, improving the extraction logic and ensuring accurate response handling. * feat(McpService, IpcChannel, MessageTools): implement tool abort functionality - Added Mcp_AbortTool channel to handle tool abortion requests. - Implemented abortTool method in McpService to manage active tool calls and provide logging. - Updated MessageTools component to include an abort button for ongoing tool calls, enhancing user control. - Modified API calls to support optional callId for better tracking of tool executions. - Added localization strings for tool abort messages in multiple languages. --------- Co-authored-by: Vaayne <liu.vaayne@gmail.com>	2025-07-08 17:17:58 +08:00
kangfenmao	13d440b0b6	chore: update release notes and fix various issues ... - Updated release notes to include new DMXAPI service and fixed knowledge base search results issue. - Enhanced drag-and-drop functionality for message selection and resolved memory exceptions in translation replies. - Added styling adjustments for context menu and improved layout in CodeBlockView and MessageGroup components.	2025-05-26 15:07:53 +08:00
自由的世界人	795d12c91e	fix: ensure args are an array in AddMcpServerModal and MCPService com… (#6413) ... fix: ensure args are an array in AddMcpServerModal and MCPService components	2025-05-24 23:17:15 +08:00
kangfenmao	3ac414e97b	fix: handle proxy environment variables for bun command in MCPService ... - Added logic to remove proxy environment variables when the command ends with 'bun'. - Introduced a new private method `removeProxyEnv` to clean up the environment variables before starting the server.	2025-05-22 22:57:49 +08:00
kangfenmao	3298b3f403	refactor: simplify MCP service integration and cleanup logic ... - Replaced singleton pattern with direct instantiation of McpService for cleaner code. - Updated IPC handlers to use the new mcpService instance directly. - Removed unnecessary logging in Inputbar and MCPToolsButton components to streamline functionality. - Cleaned up error handling in McpSettings to improve user experience.	2025-05-21 13:10:27 +08:00
jwcrystal	3d8f514f30	feat: add MCP servers via JSON quickly (#6099) ... * 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>	2025-05-20 10:41:25 +08:00
kangfenmao	5cee35b167	Merge branch 'main' into develop	2025-05-19 10:12:15 +08:00
LiuVaayne	1475f75a35	feat: add buildFunctionCallToolName utility for generating tool names (#6136)	2025-05-18 23:05:44 +08:00
kangfenmao	8bfbbd497c	refactor: streamline MCP service handling and improve IPC registration ... * Refactored MCPService to implement a singleton pattern for better instance management. * Updated IPC registration to utilize the new getMcpInstance method for handling MCP-related requests. * Removed redundant IPC handlers from the main index file and centralized them in the ipc module. * Added background throttling option in WindowService configuration to enhance performance. * Introduced delays in MCPToolsButton to optimize resource and prompt fetching after initial load.	2025-05-18 22:04:56 +08:00
kangfenmao	cb950ecde1	refactor: replace console.log with Logger for improved logging consistency across the application	2025-05-11 19:25:50 +08:00
LiuVaayne	35bc5afdad	feat(MCP): implement login shell environment retrieval (#5739) ... feat: implement login shell environment retrieval	2025-05-08 10:14:01 +08:00
chenxi	a38f4a5ad3	fix: failed to connect OAuth MCP server (#5709) ... * fix: failed to connect OAuth MCP server * polish: handle token fetching errors gracefully	2025-05-08 00:32:51 +08:00
自由的世界人	f258f5b2cb	fix: remove redundant local variables (#5654)	2025-05-04 19:56:56 +08:00
yushihang	227ea3e39b	Remove redundant condition check in MCP service args handling (#5606) ... Remove duplicate !args.includes('-y') check	2025-05-02 22:51:40 +08:00
karl	dfd957434c	fix(MCPService): Tool call failure caused by incorrect tool parameters	2025-04-28 09:05:49 +08:00
beyondkmp	bb02dca7e9	feat(MCPService): add method to find PowerShell executable path (#5393) ... - Implemented `findPowerShellExecutable` to determine the correct PowerShell executable path on Windows. - Updated `getSystemPath` to utilize the new method for improved path retrieval.	2025-04-27 14:25:37 +08:00
LiuVaayne	54cb4d7ac1	Feat/mcp enhancement (#5386)	2025-04-27 12:15:00 +08:00
LiuVaayne	6ba5768650	Update @modelcontextprotocol/sdk to v1.10.2 (#5266) ... - Removed MCPStreamableHttpClient.ts as it is now provided by the SDK. - Adjusted imports in MCPService.ts to use the SDK's implementation. - Updated yarn.lock to reflect the new SDK version.	2025-04-24 15:05:42 +08:00
Rocky LIU Yan	07b2c6f169	fix sse no headers ... add eventSourceInit	2025-04-23 22:35:10 +08:00
LiuVaayne	35c50b54a8	Feat/mcp oauth (#4837) ... * feat: implement OAuth client provider and lockfile management * feat: implement OAuth callback server and refactor authentication flow * fix(McpService): restrict command handling to 'npx' for improved clarity * refactor: make callbackPort optional in OAuthProviderOptions and clean up MCPService * refactor: restructure OAuth handling by creating separate callback and provider classes, and remove unused utility functions	2025-04-16 22:07:32 +08:00
liqihao	5061ee5c4d	Fix(MCPService): 修复 getSystemPath 因硬编码 Shell 路径导致的兼容性问题 (#4853) ... Fix(MCPService): Prioritize process.env.SHELL for PATH retrieval Co-authored-by: liqihao <liqiha0@outlook.com>	2025-04-15 23:23:28 +08:00
LiuVaayne	1d211ee9f7	feat: mcp custom headers (#4800) ... * Add support for custom HTTP headers in MCP servers Allow users to configure custom HTTP headers for SSE and streamable HTTP MCP server connections. This enables authentication and other API requirements. * Add custom headers i18n strings	2025-04-14 17:17:13 +08:00
LiuVaayne	c7ef2c5791	Feat/mcp tool response support image (#4787) ... * Add typed MCPCallToolResponse interface and format converters The commit introduces a structured response type for MCP tool calls with proper handling for different content types (text, image, audio). It adds provider-specific converter functions to transform tool responses into the appropriate message format for OpenAI, Anthropic, and Gemini. * Support vision models in tool call responses Add isVisionModel parameter to tool response formatters to conditionally handle content based on model capabilities. Non-vision models now receive JSON stringified content, while vision models get proper multimedia parts.	2025-04-14 17:16:42 +08:00
Reamd7	352731827c	fix(MCPService): 增加获取系统 PATH 的功能, 修复 process.env.PATH 无法获取系统PATH的问题 (#4766)	2025-04-13 22:45:02 +08:00
LiuVaayne	e22d076d67	feat(MCP): add resource management features and localization support (#4746) ... * feat(MCP): add resource management features and localization support * feat(MCP): enhance resource handling with improved error messages and response structure * fix(MCPToolsButton): add missing useEffect import for resource handling --------- Co-authored-by: 亢奋猫 <kangfenmao@qq.com>	2025-04-13 21:08:57 +08:00
LiuVaayne	a70ca190ba	Feat/mcp support MCP prompt (#4675) ... * 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>	2025-04-12 10:27:48 +08:00
LiuVaayne	c3b5cbee8f	Clean up MCPService connections on app quit (#4647) ... * Clean up MCPService connections on app quit * Improve application shutdown error handling	2025-04-10 17:19:02 +08:00
LiuVaayne	f9c6bddae5	feat(search): support using google as default search provider (#4569) ... * 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	2025-04-10 12:29:09 +08:00
Vaayne	c883fd85d8	feat(MCP): add StreamableHTTPClientTransport and update server type handling	2025-04-09 09:21:35 +08:00
Vaayne	037027f1f4	fix(McpService): improve client connection handling with error logging	2025-04-08 17:28:09 +08:00
kangfenmao	8191791036	refactor(mcp): move inMemory servers to npx search scope ... - Updated error handling in FileSystemServer to throw errors instead of exiting the process. - Enhanced MCPService to use a more flexible server name check and updated the path for MCP_REGISTRY_PATH. - Refined Inputbar to conditionally set enabled MCPs only if they are not empty. - Cleaned up MCPToolsButton and MCPSettings by removing unused imports and effects. - Updated NpxSearch to include a new npm scope and improved search result handling. - Enhanced builtin MCP server descriptions for better clarity.	2025-04-07 14:07:01 +08:00
LiuVaayne	ea059d5517	feat(mcp): add in-memory MCP server support and configuration management (#4359)	2025-04-05 14:17:56 +08:00