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230 Commits

Author SHA1 Message Date
MyPrototypeWhat
4b7b0a3823 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.
2025-09-03 17:20:01 +08:00
MyPrototypeWhat
7f87fb9c26 refactor(ErrorBlock): simplify CodeViewer component usage
- Removed unnecessary props from CodeViewer in ErrorBlock for cleaner code and improved readability.
2025-09-03 17:18:34 +08:00
MyPrototypeWhat
01c4777691 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.
2025-09-03 17:10:41 +08:00
MyPrototypeWhat
976d246cac 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.
2025-09-03 15:50:47 +08:00
lizhixuan
4e91db43c9 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.
2025-09-02 22:35:28 +08:00
lizhixuan
8032f79aca Merge remote-tracking branch 'origin/main' into feat/aisdk-package 2025-09-02 22:14:24 +08:00
MyPrototypeWhat
00602ddc40 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.
2025-09-02 19:36:37 +08:00
MyPrototypeWhat
782953cca1 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.
2025-09-02 18:54:07 +08:00
MyPrototypeWhat
4cceddc179 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.
2025-09-01 18:32:54 +08:00
MyPrototypeWhat
e84d00fb0d 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.
2025-09-01 16:04:38 +08:00
MyPrototypeWhat
cefd32ac7a 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.
2025-09-01 15:42:04 +08:00
MyPrototypeWhat
5ad170ec51 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.
2025-09-01 15:20:34 +08:00
MyPrototypeWhat
02b85afefb 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.
2025-09-01 13:36:01 +08:00
MyPrototypeWhat
e74c5a8ba3 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.
2025-09-01 12:47:12 +08:00
lizhixuan
e39e349dd3 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.
2025-08-30 18:42:08 +08:00
lizhixuan
1d331c8ffc 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.
2025-08-30 18:18:33 +08:00
lizhixuan
837e929731 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.
2025-08-30 17:58:28 +08:00
lizhixuan
6b92e676dc 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.
2025-08-30 17:05:43 +08:00
icarus
c982976fe0 test(streamCallback): 添加serializeError的mock实现 2025-08-30 03:05:19 +08:00
icarus
461b54c53b refactor(ThinkingBlock): 优化条件渲染逻辑以提高可读性 2025-08-30 02:59:24 +08:00
icarus
2f3b1d767d test(ThinkingBlock): 移除不再需要的实时计时测试用例 2025-08-30 02:59:17 +08:00
icarus
895c30057f test(Spinner): 更新快照 2025-08-30 02:42:53 +08:00
icarus
d62e336dad test(ActionUtils): 添加对ConversationService和models模块的mock测试 2025-08-30 02:38:02 +08:00
icarus
7f643d058c fix: 添加注释说明redux设置状态不应被服务层使用 2025-08-30 02:21:26 +08:00
icarus
4cf239f165 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
2025-08-30 02:18:46 +08:00
icarus
aaa56da614 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
2025-08-30 02:16:06 +08:00
icarus
d468bb6ad3 test: 更新ApiService测试中ApiClientFactory的模拟路径 2025-08-30 01:26:53 +08:00
lizhixuan
1ef63aed3a 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
2025-08-30 00:40:20 +08:00
suyao
415fc23fee Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-08-29 23:20:14 +08:00
icarus
e8bf1552d0 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
2025-08-29 23:01:50 +08:00
icarus
c1c91db9d2 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
2025-08-29 22:51:49 +08:00
icarus
27fa16daa3 docs(i18n): 添加请求路径的国际化翻译 2025-08-29 22:34:56 +08:00
icarus
e0f86688a2 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
2025-08-29 22:32:37 +08:00
icarus
7a5050d2a2 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
2025-08-29 22:25:07 +08:00
icarus
e653a52265 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
2025-08-29 22:04:53 +08:00
icarus
f76952b0dd 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
2025-08-29 21:42:19 +08:00
icarus
01d7f784f7 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
2025-08-29 21:35:33 +08:00
icarus
4960eb712b 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
2025-08-29 21:30:26 +08:00
icarus
694ecc5243 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
2025-08-29 21:16:04 +08:00
icarus
84f920e54e 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
2025-08-29 21:07:22 +08:00
icarus
d4a22d3b0c refactor(services): 提取 FetchChatCompletionOptions 类型以提升代码可维护性 2025-08-29 20:33:22 +08:00
icarus
ddb203170e 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
2025-08-29 20:25:16 +08:00
icarus
1460a0b5b9 refactor(aiCore): 将console.log替换为logger.debug以改进日志记录 2025-08-29 19:52:13 +08:00
icarus
aaa51c435e 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
2025-08-29 19:36:40 +08:00
icarus
9bde8b3cae Merge branch 'main' of github.com:CherryHQ/cherry-studio into feat/aisdk-package 2025-08-29 19:34:55 +08:00
icarus
e56218f3ac Merge branch 'feat/aisdk-package' of github.com:CherryHQ/cherry-studio into feat/aisdk-package 2025-08-29 19:19:59 +08:00
icarus
58874a954c 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
2025-08-29 19:19:54 +08:00
MyPrototypeWhat
6fa82533d5 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.
2025-08-29 19:16:21 +08:00
icarus
a7b8b40301 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
2025-08-29 19:09:33 +08:00
icarus
bdbb2c2c75 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
2025-08-29 18:43:03 +08:00
icarus
005cd730b0 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
2025-08-29 18:30:00 +08:00
icarus
3d131dc213 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
2025-08-29 17:53:19 +08:00
icarus
b5c1530d97 docs(OrchestrateService): 添加注释说明暂时未使用的类和函数用途 2025-08-29 17:53:05 +08:00
icarus
a2326ee825 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
2025-08-29 17:13:23 +08:00
MyPrototypeWhat
70c6478278 chore(package): bump version to 1.6.0-beta.2 2025-08-29 16:01:45 +08:00
MyPrototypeWhat
0944faf8e5 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.
2025-08-29 16:01:11 +08:00
MyPrototypeWhat
6a1918deef 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.
2025-08-29 15:23:58 +08:00
MyPrototypeWhat
c9d0265872 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.
2025-08-29 15:06:34 +08:00
MyPrototypeWhat
2ca5116769 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.
2025-08-29 14:20:03 +08:00
MyPrototypeWhat
efeada281a 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.
2025-08-29 13:34:15 +08:00
suyao
c769e3aa41 Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-08-29 13:08:30 +08:00
suyao
2212aac6f7 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.
2025-08-29 13:08:00 +08:00
MyPrototypeWhat
49cd9d6723 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.
2025-08-29 12:20:22 +08:00
MyPrototypeWhat
1735a9efb6 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.
2025-08-29 11:30:16 +08:00
MyPrototypeWhat
1b86997f14 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.
2025-08-29 11:14:38 +08:00
suyao
cf777ba62b 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.
2025-08-29 07:02:00 +08:00
suyao
4918628131 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.
2025-08-29 06:55:25 +08:00
suyao
fee6ad58d1 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.
2025-08-29 06:12:16 +08:00
suyao
a30df46c40 feat(aihubmix): add 'type' property to provider configuration for Gemini integration 2025-08-29 04:20:32 +08:00
suyao
3004f84be3 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.
2025-08-29 04:12:48 +08:00
MyPrototypeWhat
9551c49452 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
2025-08-28 18:25:45 +08:00
MyPrototypeWhat
e312c84a0e 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.
2025-08-28 18:12:46 +08:00
MyPrototypeWhat
3d0fb97475 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.
2025-08-28 16:11:08 +08:00
MyPrototypeWhat
d10ba04047 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.
2025-08-28 15:28:44 +08:00
icarus
4b7023f855 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
2025-08-28 15:11:52 +08:00
icarus
5f096ecf8c refactor(logging): 将console替换为logger以统一日志管理 2025-08-28 14:52:59 +08:00
suyao
a12d627b65 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.
2025-08-28 12:22:14 +08:00
MyPrototypeWhat
7bda658022 Merge remote-tracking branch 'origin/main' into feat/aisdk-package 2025-08-28 12:03:41 +08:00
MyPrototypeWhat
bfcb215c16 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.
2025-08-27 19:37:10 +08:00
MyPrototypeWhat
1b3fcb2e55 chore(aiCore): bump version to 1.0.0-alpha.10 in package.json 2025-08-27 16:23:08 +08:00
MyPrototypeWhat
9c01e24317 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.
2025-08-27 16:17:57 +08:00
MyPrototypeWhat
2ce9314a10 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.
2025-08-27 11:23:30 +08:00
MyPrototypeWhat
0c7e221b4e 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.
2025-08-26 17:59:52 +08:00
MyPrototypeWhat
82d4637c9d chore(aiCore): bump version to 1.0.0-alpha.9 in package.json 2025-08-26 16:19:41 +08:00
MyPrototypeWhat
84eef25ff9 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.
2025-08-26 16:17:01 +08:00
lizhixuan
53dcda6942 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.
2025-08-26 00:31:41 +08:00
MyPrototypeWhat
ead0e22c60 [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.
2025-08-25 19:46:51 +08:00
MyPrototypeWhat
417f90df3b 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.
2025-08-25 16:04:50 +08:00
suyao
65c15c6d87 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.
2025-08-25 14:40:48 +08:00
MyPrototypeWhat
ca4e7e3d2b 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.
2025-08-22 19:35:09 +08:00
MyPrototypeWhat
d34b640807 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.
2025-08-21 16:30:30 +08:00
MyPrototypeWhat
aa9ed3b9c8 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.
2025-08-19 16:07:29 +08:00
MyPrototypeWhat
d4da7d817d 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.
2025-08-19 16:03:51 +08:00
MyPrototypeWhat
179b7af9bd 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.
2025-08-19 14:28:04 +08:00
MyPrototypeWhat
5d0ab0a9a1 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.
2025-08-19 11:13:03 +08:00
lizhixuan
d93a36e5c9 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.
2025-08-19 00:44:30 +08:00
MyPrototypeWhat
c9c0616c91 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.
2025-08-18 19:41:43 +08:00
one
356443babf fix: remove default renderer from MessageTool 2025-08-17 17:00:43 +08:00
one
b2c512082f fix: missing dependencies 2025-08-17 16:41:50 +08:00
one
0273c58050 fix: file name 2025-08-17 16:14:36 +08:00
one
239c849890 Merge branch 'main' into feat/aisdk-package 2025-08-17 16:11:18 +08:00
MyPrototypeWhat
bbc472c169 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.
2025-08-15 18:11:43 +08:00
MyPrototypeWhat
b099c9b0b3 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.
2025-08-15 18:04:24 +08:00
MyPrototypeWhat
628919b562 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.
2025-08-15 11:47:24 +08:00
MyPrototypeWhat
d05ed94702 Merge branch 'main' into feat/aisdk-package 2025-08-15 11:11:20 +08:00
MyPrototypeWhat
02f8e7a857 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.
2025-08-14 19:31:17 +08:00
MyPrototypeWhat
6c093f72d8 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.
2025-08-14 19:15:49 +08:00
MyPrototypeWhat
0bb1001d40 Merge remote-tracking branch 'origin/main' into feat/aisdk-package 2025-08-14 18:59:19 +08:00
MyPrototypeWhat
376020b23c 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.
2025-08-14 18:06:11 +08:00
MyPrototypeWhat
3630133efd 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.
2025-08-14 16:27:23 +08:00
MyPrototypeWhat
cb55f7a69b 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.
2025-08-14 16:17:41 +08:00
MyPrototypeWhat
ff7ad52ad5 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.
2025-08-08 15:20:02 +08:00
suyao
bf02afa841 chore(package.json): bump version to 1.0.0-alpha.7 2025-08-06 17:07:32 +08:00
suyao
e8b059c4db chore(yarn.lock): remove deprecated provider entries and clean up dependencies 2025-08-06 17:03:17 +08:00
suyao
abfec7a228 Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-08-06 17:01:57 +08:00
MyPrototypeWhat
eeafb99059 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.
2025-08-05 19:42:57 +08:00
suyao
1ea8266280 fix: migrate to v5-patch2 2025-08-03 23:09:19 +08:00
suyao
def685921c Merge remote-tracking branch 'origin/main' into feat/aisdk-package 2025-08-02 21:02:23 +08:00
suyao
a8dbae1715 refactor: migrate to v5 patch-1 2025-08-02 19:52:17 +08:00
suyao
71959f577d 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.
2025-08-01 19:00:24 +08:00
suyao
ecc08bd3f7 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.
2025-08-01 10:45:31 +08:00
MyPrototypeWhat
7216e9943c 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.
2025-07-29 19:26:29 +08:00
MyPrototypeWhat
a05d7cbe2d 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.
2025-07-29 12:16:06 +08:00
lizhixuan
0310648445 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.
2025-07-24 00:11:57 +08:00
MyPrototypeWhat
33db455e32 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.
2025-07-23 15:01:48 +08:00
lizhixuan
e690da840c 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.
2025-07-22 21:58:22 +08:00
lizhixuan
eca9442907 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.
2025-07-22 21:58:12 +08:00
lizhixuan
4b62384fc5 <type>: <subject>
<body>
<footer>
用來簡要描述影響本次變動,概述即可
2025-07-22 18:52:39 +08:00
lizhixuan
addd5ffdfa 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.
2025-07-21 23:39:46 +08:00
MyPrototypeWhat
fcc8836c95 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.
2025-07-21 14:43:54 +08:00
suyao
61e3309cd2 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.
2025-07-21 14:20:33 +08:00
MyPrototypeWhat
786bc8dca9 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.
2025-07-18 19:33:54 +08:00
MyPrototypeWhat
c3a6456499 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.
2025-07-18 17:20:55 +08:00
MyPrototypeWhat
ef6be4a6f9 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.
2025-07-18 16:30:49 +08:00
MyPrototypeWhat
69e87ce21a 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.
2025-07-18 16:26:52 +08:00
MyPrototypeWhat
608943bdbc 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.
2025-07-18 15:58:43 +08:00
MyPrototypeWhat
1248e3c49a 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.
2025-07-18 15:35:44 +08:00
MyPrototypeWhat
c3ad18b77e 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.
2025-07-18 11:39:27 +08:00
suyao
0bc5e3d24d chore: bump @cherrystudio/ai-core version to 1.0.0-alpha.1 2025-07-18 11:03:32 +08:00
suyao
36e20d545b 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.
2025-07-18 11:03:09 +08:00
lizhixuan
45405213fc 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.
2025-07-18 00:37:28 +08:00
suyao
b83837708b chore(aiCore/version): update version to 1.0.0-alpha.0 2025-07-17 21:10:59 +08:00
suyao
4732c8f1bd 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.
2025-07-17 21:00:32 +08:00
suyao
ef8cf65ece 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.
2025-07-17 20:44:29 +08:00
suyao
e3c5c87e1b 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.
2025-07-17 20:39:39 +08:00
MyPrototypeWhat
e7d5626055 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.
2025-07-17 18:12:26 +08:00
MyPrototypeWhat
650650a68f 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.
2025-07-17 16:30:26 +08:00
MyPrototypeWhat
f38e4a87b8 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.
2025-07-17 13:49:06 +08:00
MyPrototypeWhat
a356492d6f Merge remote-tracking branch 'origin/main' into feat/aisdk-package 2025-07-17 11:59:50 +08:00
suyao
8863e10df1 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.
2025-07-17 03:21:52 +08:00
suyao
42bfa281a7 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.
2025-07-17 03:10:48 +08:00
suyao
e7b4f1f934 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.
2025-07-15 23:50:53 +08:00
suyao
0456094512 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.
2025-07-15 23:39:49 +08:00
suyao
da455997ad 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.
2025-07-15 22:47:43 +08:00
lizhixuan
0c4e8228af 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.
2025-07-12 21:11:17 +08:00
lizhixuan
16e0154200 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.
2025-07-12 11:31:06 +08:00
MyPrototypeWhat
3ab904e789 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.
2025-07-11 19:15:21 +08:00
MyPrototypeWhat
42c7ebd193 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.
2025-07-11 16:45:54 +08:00
suyao
a0623f2187 chore: update ai package version to 5.0.0-beta.9 in package.json and yarn.lock 2025-07-10 02:57:50 +08:00
MyPrototypeWhat
4bfff85dc8 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.
2025-07-08 15:24:51 +08:00
suyao
8317ad55e7 Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-07-08 13:40:39 +08:00
suyao
b67cd9d145 fix: azure-openai provider 2025-07-08 13:38:14 +08:00
MyPrototypeWhat
234514d736 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.
2025-07-08 13:15:41 +08:00
suyao
450d6228d4 feat: aihubmix support 2025-07-08 03:47:25 +08:00
lizhixuan
3c955e69f1 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.
2025-07-07 23:33:22 +08:00
lizhixuan
4573e3f48f 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.
2025-07-07 23:28:49 +08:00
suyao
56c5e5a80f fix: format apihost 2025-07-07 21:45:18 +08:00
MyPrototypeWhat
bb520910bc 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.
2025-07-07 19:34:22 +08:00
suyao
342c5ab82c Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-07-07 18:43:27 +08:00
suyao
fce8f2411c fix: openai-gemini support 2025-07-07 18:42:31 +08:00
MyPrototypeWhat
0a908a334b 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.
2025-07-07 18:33:51 +08:00
suyao
c72156b2da feat: support image 2025-07-07 14:27:03 +08:00
suyao
9e252d7eb0 fix(provider): config error patch-1 2025-07-07 04:46:36 +08:00
suyao
4b0d8d7e65 fix(provider): config error 2025-07-07 04:33:37 +08:00
suyao
448b5b5c9e refactor: migrate to v5 patch-2 2025-07-07 03:58:10 +08:00
suyao
f20d964be3 Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-07-07 02:09:01 +08:00
lizhixuan
c92475b6bf 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.
2025-07-07 00:34:32 +08:00
suyao
89cbf80008 fix: unexpected chunk 2025-07-06 23:37:42 +08:00
suyao
3e5969b97c refactor: migrate to v5 patch-1 2025-07-06 04:25:11 +08:00
suyao
cd42410d70 chore: migrate to v5 2025-07-05 13:28:19 +08:00
MyPrototypeWhat
547e5785c0 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.
2025-07-04 19:35:37 +08:00
MyPrototypeWhat
13162edcb2 refactor: remove providerParams utility module 2025-07-04 13:53:27 +08:00
MyPrototypeWhat
ac15930692 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.
2025-07-02 19:31:33 +08:00
MyPrototypeWhat
ff3b1fc38f 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.
2025-07-02 16:43:06 +08:00
MyPrototypeWhat
b660e9d524 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.
2025-07-01 17:21:57 +08:00
MyPrototypeWhat
182ab6092c 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.
2025-07-01 15:28:06 +08:00
MyPrototypeWhat
cf5ed8e858 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.
2025-06-30 18:34:08 +08:00
suyao
007de81928 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.
2025-06-29 21:29:57 +08:00
suyao
6c87b42607 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.
2025-06-29 15:16:47 +08:00
suyao
592a7ddc3f Merge branch 'main' into feat/aisdk-package 2025-06-29 03:57:28 +08:00
suyao
60cb198f44 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.
2025-06-29 03:55:29 +08:00
suyao
54c36040af 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.
2025-06-29 02:59:38 +08:00
MyPrototypeWhat
ef616e1c3b 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.
2025-06-27 19:24:23 +08:00
MyPrototypeWhat
dc106a8af7 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.
2025-06-27 17:08:22 +08:00
MyPrototypeWhat
1bcc716eaf 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.
2025-06-27 16:38:32 +08:00
MyPrototypeWhat
30a288ce5d 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.
2025-06-27 15:45:56 +08:00
suyao
cbbaa3127c Merge branch 'feat/aisdk-package' of https://github.com/CherryHQ/cherry-studio into feat/aisdk-package 2025-06-27 15:11:04 +08:00
suyao
f61da8c2d6 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.
2025-06-27 15:10:47 +08:00
MyPrototypeWhat
d9eb9e86fe 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.
2025-06-27 15:03:58 +08:00
suyao
87f803b0d3 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.
2025-06-27 13:21:33 +08:00
lizhixuan
c934b45c09 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.
2025-06-26 23:48:06 +08:00
lizhixuan
ba121d04b4 <type>: <subject>
<body>
<footer>
用來簡要描述影響本次變動,概述即可
2025-06-26 21:33:05 +08:00
MyPrototypeWhat
9293f26612 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.
2025-06-26 19:42:04 +08:00
lizhixuan
8b67a45804 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.
2025-06-26 00:10:39 +08:00
MyPrototypeWhat
f23a026a28 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.
2025-06-25 19:00:54 +08:00
MyPrototypeWhat
e4c0ea035f 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.
2025-06-25 17:25:45 +08:00
lizhixuan
7d8ed3a737 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.
2025-06-23 23:58:05 +08:00
MyPrototypeWhat
2a588fdab2 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.
2025-06-23 19:51:40 +08:00
suyao
f08c444ffb 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.
2025-06-21 23:46:06 +08:00
lizhixuan
f6c3794ac9 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.
2025-06-21 23:26:52 +08:00
suyao
ebe85ba24a 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.
2025-06-21 22:38:54 +08:00
suyao
09080f0755 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.
2025-06-21 22:19:10 +08:00
suyao
e421b81fca 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.
2025-06-21 20:31:24 +08:00
suyao
2f58b3360e 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.
2025-06-21 16:48:16 +08:00
suyao
f934b479b2 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.
2025-06-21 14:08:35 +08:00
suyao
8ca6341609 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.
2025-06-21 12:48:53 +08:00
MyPrototypeWhat
c99a2fedb7 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.
2025-06-20 20:28:44 +08:00
MyPrototypeWhat
456e6c068e 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.
2025-06-20 20:25:19 +08:00
MyPrototypeWhat
f206d4ec4c 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.
2025-06-20 20:14:37 +08:00
MyPrototypeWhat
1af8be8768 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.
2025-06-20 20:14:10 +08:00
suyao
e70174817e 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.
2025-06-20 20:12:44 +08:00
MyPrototypeWhat
c5cb443de0 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.
2025-06-20 20:12:44 +08:00
suyao
9318d9ffeb 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.
2025-06-20 20:12:44 +08:00
suyao
3771b24b52 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.
2025-06-20 20:08:10 +08:00
suyao
1bccfd3170 feat: 完成api层,业务逻辑层,编排层的分离
feat: 为插件系统实现中间件
feat: 实现自定义的思考中间件

- Updated package.json and related files to reflect the correct naming convention for the @cherrystudio/ai-core package.
- Adjusted import paths in various files to ensure consistency with the new package name.
- Enhanced type resolution in tsconfig.web.json to align with the updated package structure.
2025-06-20 20:01:13 +08:00
MyPrototypeWhat
43d55b7e45 feat: integrate @cherry-studio/ai-core and enhance AI SDK support
- Added @cherry-studio/ai-core as a workspace dependency in package.json for improved modularity.
- Updated tsconfig to include paths for the new AI core package, enhancing type resolution.
- Refactored aiCore package to use source files directly, improving build efficiency.
- Introduced a new AiSdkToChunkAdapter for converting AI SDK streams to Cherry Studio chunk format.
- Implemented a modernized AI provider interface in index_new.ts, allowing fallback to legacy implementations.
- Enhanced parameter transformation logic for better integration with AI SDK features.
- Updated ApiService to utilize the new AI provider, streamlining chat completion requests.
2025-06-20 19:59:36 +08:00
MyPrototypeWhat
1c5a30cf49 feat: enhance AI Core with new client and plugin system features
- Introduced `PluginEnabledAiClient` for a more flexible client interface with integrated plugin support.
- Updated `ApiClientFactory` and `UniversalAiSdkClient` to utilize new provider settings for improved type safety.
- Added a comprehensive plugin management system, allowing for dynamic plugin registration and execution.
- Enhanced the provider registry to include new AI providers and updated existing provider settings.
- Removed deprecated files and streamlined the codebase for better maintainability and clarity.
- Updated documentation to reflect new features and usage examples for the plugin system.
2025-06-20 19:57:55 +08:00
suyao
2df1cddb43 feat: enhance AI Core with image generation capabilities
- Introduced `createImageClient` method in `ApiClientFactory` to support image generation for various providers.
- Updated `UniversalAiSdkClient` to include `generateImage` method, allowing image generation through the unified client interface.
- Refactored client creation functions to utilize the new `ProviderOptions` type for improved type safety.
- Enhanced the provider registry to indicate which providers support image generation, streamlining client creation and usage.
- Updated type definitions in `types.ts` to reflect changes in client options and middleware support.
2025-06-20 19:55:42 +08:00
MyPrototypeWhat
ed2363e561 feat: enhance AI Core with plugin system and middleware support
- Introduced a plugin system in the AI Core package, allowing for flexible request handling and middleware integration.
- Added support for various hook types: First, Sequential, Parallel, and Stream, enabling developers to customize request processing.
- Implemented a PluginManager for managing and executing plugins, enhancing extensibility and modularity.
- Updated architecture documentation to reflect new plugin capabilities and usage examples.
- Included new middleware types and examples to demonstrate the plugin system's functionality.

This update aims to improve the developer experience by providing a robust framework for extending AI Core's capabilities.
2025-06-20 19:49:24 +08:00
MyPrototypeWhat
a27d1bf506 feat: introduce Cherry Studio AI Core package with unified AI provider interface
- Added a new package `@cherry-studio/ai-core` that provides a unified interface for various AI providers based on the Vercel AI SDK.
- Implemented core components including `ApiClientFactory`, `UniversalAiSdkClient`, and a provider registry for dynamic imports.
- Included TypeScript support and a lightweight design for improved developer experience.
- Documented architecture and usage examples in `AI_SDK_ARCHITECTURE.md` and `README.md`.
- Updated `package.json` to include dependencies for supported AI providers.

This package aims to streamline the integration of multiple AI providers while ensuring type safety and modularity.
2025-06-20 19:48:56 +08:00
1429 changed files with 32188 additions and 115737 deletions

6
.github/CODEOWNERS vendored
View File

@@ -1,6 +0,0 @@
/src/renderer/src/store/ @0xfullex
/src/renderer/src/databases/ @0xfullex
/src/main/services/ConfigManager.ts @0xfullex
/packages/shared/IpcChannel.ts @0xfullex
/src/main/ipc.ts @0xfullex
/app-upgrade-config.json @kangfenmao

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@@ -0,0 +1,94 @@
name: 🐛 错误报告 (中文)
description: 创建一个报告以帮助我们改进
title: '[错误]: '
labels: ['BUG']
body:
- type: markdown
attributes:
value: |
感谢您花时间填写此错误报告!
在提交此问题之前,请确保您已经了解了[常见问题](https://docs.cherry-ai.com/question-contact/questions)和[知识科普](https://docs.cherry-ai.com/question-contact/knowledge)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我的问题不是 [常见问题](https://github.com/CherryHQ/cherry-studio/issues/3881) 中的内容。
required: true
- label: 我已经查看了 **置顶 Issue** 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的问题。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是“一个建议”、“卡住了”等。
required: true
- label: 我确认我正在使用最新版本的 Cherry Studio。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: description
attributes:
label: 错误描述
description: 描述问题时请尽可能详细。请尽可能提供截图或屏幕录制,以帮助我们更好地理解问题。
placeholder: 告诉我们发生了什么...(记得附上截图/录屏,如果适用)
validations:
required: true
- type: textarea
id: reproduction
attributes:
label: 重现步骤
description: 提供详细的重现步骤,以便于我们的开发人员可以准确地重现问题。请尽可能为每个步骤提供截图或屏幕录制。
placeholder: |
1. 转到 '...'
2. 点击 '....'
3. 向下滚动到 '....'
4. 看到错误
记得尽可能为每个步骤附上截图/录屏!
validations:
required: true
- type: textarea
id: expected
attributes:
label: 预期行为
description: 清晰简洁地描述您期望发生的事情
validations:
required: true
- type: textarea
id: logs
attributes:
label: 相关日志输出
description: 请复制并粘贴任何相关的日志输出
render: shell
- type: textarea
id: additional
attributes:
label: 附加信息
description: 任何能让我们对你所遇到的问题有更多了解的东西

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@@ -0,0 +1,76 @@
name: 💡 功能建议 (中文)
description: 为项目提出新的想法
title: '[功能]: '
labels: ['feature']
body:
- type: markdown
attributes:
value: |
感谢您花时间提出新的功能建议!
在提交此问题之前,请确保您已经了解了[项目规划](https://docs.cherry-ai.com/cherrystudio/planning)和[功能介绍](https://docs.cherry-ai.com/cherrystudio/preview)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我已经查看了置顶 Issue 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的建议。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是“一个建议”、“卡住了”等。
required: true
- label: 最新的 Cherry Studio 版本没有实现我所提出的功能。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: problem
attributes:
label: 您的功能建议是否与某个问题/issue相关?
description: 请简明扼要地描述您遇到的问题
placeholder: 我总是感到沮丧,因为...
validations:
required: true
- type: textarea
id: solution
attributes:
label: 请描述您希望实现的解决方案
description: 请简明扼要地描述您希望发生的情况
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: 请描述您考虑过的其他方案
description: 请简明扼要地描述您考虑过的任何其他解决方案或功能
- type: textarea
id: additional
attributes:
label: 其他补充信息
description: 在此添加任何其他与功能建议相关的上下文或截图

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name: ❓ 提问 & 讨论 (中文)
description: 寻求帮助、讨论问题、提出疑问等...
title: '[讨论]: '
labels: ['discussion', 'help wanted']
body:
- type: markdown
attributes:
value: |
感谢您的提问!请尽可能详细地描述您的问题,这样我们才能更好地帮助您。
- type: checkboxes
id: checklist
attributes:
label: Issue 检查清单
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我确认自己需要的是提出问题并且讨论问题,而不是 Bug 反馈或需求建议。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: question
attributes:
label: 您的问题
description: 请详细描述您的问题
placeholder: 请尽可能清楚地说明您的问题...
validations:
required: true
- type: textarea
id: context
attributes:
label: 相关背景
description: 请提供一些背景信息,帮助我们更好地理解您的问题
placeholder: 例如:使用场景、已尝试的解决方案等
- type: textarea
id: additional
attributes:
label: 补充信息
description: 任何其他相关的信息、截图或代码示例
render: shell
- type: dropdown
id: priority
attributes:
label: 优先级
description: 这个问题对您来说有多紧急?
options:
- 低 (有空再看)
- 中 (希望尽快得到答复)
- 高 (阻碍工作进行)
validations:
required: true

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@@ -0,0 +1,76 @@
name: 🤔 其他问题 (中文)
description: 提交不属于错误报告或功能需求的问题
title: '[其他]: '
body:
- type: markdown
attributes:
value: |
感谢您花时间提出问题!
在提交此问题之前,请确保您已经了解了[常见问题](https://docs.cherry-ai.com/question-contact/questions)和[知识科普](https://docs.cherry-ai.com/question-contact/knowledge)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我已经查看了置顶 Issue 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的问题。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是"一个问题"、"求助"等。
required: true
- label: 我的问题不属于错误报告或功能需求类别。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: question
attributes:
label: 问题描述
description: 请详细描述您的问题或疑问
placeholder: 我想了解有关...的更多信息
validations:
required: true
- type: textarea
id: context
attributes:
label: 相关背景
description: 请提供与您的问题相关的任何背景信息或上下文
placeholder: 我尝试实现...时遇到了疑问
validations:
required: true
- type: textarea
id: attempts
attributes:
label: 您已尝试的方法
description: 请描述您为解决问题已经尝试过的方法(如果有)
- type: textarea
id: additional
attributes:
label: 附加信息
description: 任何能让我们对您的问题有更多了解的信息,包括截图或相关链接

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@@ -1,4 +1,4 @@
name: 🐛 Bug Report
name: 🐛 Bug Report (English)
description: Create a report to help us improve
title: '[Bug]: '
labels: ['BUG']

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@@ -1,4 +1,4 @@
name: 💡 Feature Request
name: 💡 Feature Request (English)
description: Suggest an idea for this project
title: '[Feature]: '
labels: ['feature']

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@@ -1,4 +1,4 @@
name: 🤔 Other Questions
name: 🤔 Other Questions (English)
description: Submit questions that don't fit into bug reports or feature requests
title: '[Other]: '
body:

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.github/issue-checker.yml vendored Normal file
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@@ -0,0 +1,252 @@
default-mode:
add:
remove: [pull_request_target, issues]
labels:
# <!-- [Ss]kip `LABEL` --> 跳过一个 label
# <!-- [Rr]emove `LABEL` --> 去掉一个 label
# skips and removes
- name: skip all
content:
regexes: '[Ss]kip (?:[Aa]ll |)[Ll]abels?'
- name: remove all
content:
regexes: '[Rr]emove (?:[Aa]ll |)[Ll]abels?'
- name: skip kind/bug
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
- name: remove kind/bug
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
- name: skip kind/enhancement
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
- name: remove kind/enhancement
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
- name: skip kind/question
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
- name: remove kind/question
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
- name: skip area/Connectivity
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
- name: remove area/Connectivity
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
- name: skip area/UI/UX
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
- name: remove area/UI/UX
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
- name: skip kind/documentation
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
- name: remove kind/documentation
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
- name: skip client:linux
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
- name: remove client:linux
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
- name: skip client:mac
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
- name: remove client:mac
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
- name: skip client:win
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
- name: remove client:win
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
- name: skip sig/Assistant
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
- name: remove sig/Assistant
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
- name: skip sig/Data
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
- name: remove sig/Data
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
- name: skip sig/MCP
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
- name: remove sig/MCP
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
- name: skip sig/RAG
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
- name: remove sig/RAG
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
- name: skip lgtm
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
- name: remove lgtm
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
- name: skip License
content:
regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)License(?:`|)'
- name: remove License
content:
regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)License(?:`|)'
# `Dev Team`
- name: Dev Team
mode:
add: [pull_request_target, issues]
author_association:
- COLLABORATOR
# Area labels
- name: area/Connectivity
content: area/Connectivity
regexes: '代理|[Pp]roxy'
skip-if:
- skip all
- skip area/Connectivity
remove-if:
- remove all
- remove area/Connectivity
- name: area/UI/UX
content: area/UI/UX
regexes: '界面|[Uu][Ii]|重叠|按钮|图标|组件|渲染|菜单|栏目|头像|主题|样式|[Cc][Ss][Ss]'
skip-if:
- skip all
- skip area/UI/UX
remove-if:
- remove all
- remove area/UI/UX
# Kind labels
- name: kind/documentation
content: kind/documentation
regexes: '文档|教程|[Dd]oc(s|umentation)|[Rr]eadme'
skip-if:
- skip all
- skip kind/documentation
remove-if:
- remove all
- remove kind/documentation
# Client labels
- name: client:linux
content: client:linux
regexes: '(?:[Ll]inux|[Uu]buntu|[Dd]ebian)'
skip-if:
- skip all
- skip client:linux
remove-if:
- remove all
- remove client:linux
- name: client:mac
content: client:mac
regexes: '(?:[Mm]ac|[Mm]acOS|[Oo]SX)'
skip-if:
- skip all
- skip client:mac
remove-if:
- remove all
- remove client:mac
- name: client:win
content: client:win
regexes: '(?:[Ww]in|[Ww]indows)'
skip-if:
- skip all
- skip client:win
remove-if:
- remove all
- remove client:win
# SIG labels
- name: sig/Assistant
content: sig/Assistant
regexes: '快捷助手|[Aa]ssistant'
skip-if:
- skip all
- skip sig/Assistant
remove-if:
- remove all
- remove sig/Assistant
- name: sig/Data
content: sig/Data
regexes: '[Ww]ebdav|坚果云|备份|同步|数据|Obsidian|Notion|Joplin|思源'
skip-if:
- skip all
- skip sig/Data
remove-if:
- remove all
- remove sig/Data
- name: sig/MCP
content: sig/MCP
regexes: '[Mm][Cc][Pp]'
skip-if:
- skip all
- skip sig/MCP
remove-if:
- remove all
- remove sig/MCP
- name: sig/RAG
content: sig/RAG
regexes: '知识库|[Rr][Aa][Gg]'
skip-if:
- skip all
- skip sig/RAG
remove-if:
- remove all
- remove sig/RAG
# Other labels
- name: lgtm
content: lgtm
regexes: '(?:[Ll][Gg][Tt][Mm]|[Ll]ooks [Gg]ood [Tt]o [Mm]e)'
skip-if:
- skip all
- skip lgtm
remove-if:
- remove all
- remove lgtm
- name: License
content: License
regexes: '(?:[Ll]icense|[Cc]opyright|[Mm][Ii][Tt]|[Aa]pache)'
skip-if:
- skip all
- skip License
remove-if:
- remove all
- remove License

View File

@@ -3,18 +3,6 @@
1. Consider creating this PR as draft: https://github.com/CherryHQ/cherry-studio/blob/main/CONTRIBUTING.md
-->
<!--
⚠️ Important: Redux/IndexedDB Data-Changing Feature PRs Temporarily On Hold ⚠️
Please note: For our current development cycle, we are not accepting feature Pull Requests that introduce changes to Redux data models or IndexedDB schemas.
While we value your contributions, PRs of this nature will be blocked without merge. We welcome all other contributions (bug fixes, perf enhancements, docs, etc.). Thank you!
Once version 2.0.0 is released, we will resume reviewing feature PRs.
-->
### What this PR does
Before this PR:

View File

@@ -1,93 +0,0 @@
name: Auto I18N Weekly
env:
TRANSLATION_API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
TRANSLATION_MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
TRANSLATION_BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
TRANSLATION_BASE_LOCALE: ${{ vars.AUTO_I18N_BASE_LOCALE || 'en-us'}}
on:
schedule:
# Runs at 00:00 UTC every Sunday.
# This corresponds to 08:00 AM UTC+8 (Beijing time) every Sunday.
- cron: "0 0 * * 0"
workflow_dispatch:
jobs:
auto-i18n:
runs-on: ubuntu-latest
name: Auto I18N
permissions:
contents: write
pull-requests: write
steps:
- name: 🐈‍⬛ Checkout
uses: actions/checkout@v5
with:
fetch-depth: 0
- name: 📦 Setting Node.js
uses: actions/setup-node@v6
with:
node-version: 22
- name: 📦 Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
- name: 📂 Get yarn cache directory path
id: yarn-cache-dir-path
run: echo "dir=$(yarn config get cacheFolder)" >> $GITHUB_OUTPUT
- name: 💾 Cache yarn dependencies
uses: actions/cache@v4
with:
path: |
${{ steps.yarn-cache-dir-path.outputs.dir }}
node_modules
key: ${{ runner.os }}-yarn-${{ hashFiles('**/yarn.lock') }}
restore-keys: |
${{ runner.os }}-yarn-
- name: 📦 Install dependencies
run: |
yarn install
- name: 🏃‍♀️ Translate
run: yarn sync:i18n && yarn auto:i18n
- name: 🔍 Format
run: yarn format
- name: 🔍 Check for changes
id: git_status
run: |
# Check if there are any uncommitted changes
git reset -- package.json yarn.lock # 不提交 package.json 和 yarn.lock 的更改
git diff --exit-code --quiet || echo "::set-output name=has_changes::true"
git status --porcelain
- name: 📅 Set current date for PR title
id: set_date
run: echo "CURRENT_DATE=$(date +'%b %d, %Y')" >> $GITHUB_ENV # e.g., "Jun 06, 2024"
- name: 🚀 Create Pull Request if changes exist
if: steps.git_status.outputs.has_changes == 'true'
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GITHUB_TOKEN }} # Use the built-in GITHUB_TOKEN for bot actions
commit-message: "feat(bot): Weekly automated script run"
title: "🤖 Weekly Auto I18N Sync: ${{ env.CURRENT_DATE }}"
body: |
This PR includes changes generated by the weekly auto i18n.
Review the changes before merging.
---
_Generated by the automated weekly workflow_
branch: "auto-i18n-weekly-${{ github.run_id }}" # Unique branch name
base: "main" # Or 'develop', set your base branch
delete-branch: true # Delete the branch after merging or closing the PR
- name: 📢 Notify if no changes
if: steps.git_status.outputs.has_changes != 'true'
run: echo "Bot script ran, but no changes were detected. No PR created."

View File

@@ -1,56 +0,0 @@
name: Claude Code Review
on:
pull_request:
types: [opened]
# Optional: Only run on specific file changes
# paths:
# - "src/**/*.ts"
# - "src/**/*.tsx"
# - "src/**/*.js"
# - "src/**/*.jsx"
jobs:
claude-review:
# Only trigger code review for PRs from the main repository due to upstream OIDC issues
# https://github.com/anthropics/claude-code-action/issues/542
if: |
(github.event.pull_request.head.repo.full_name == github.repository) &&
(github.event.pull_request.draft == false)
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
issues: read
id-token: write
actions: read
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude Code Review
id: claude-review
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
prompt: |
Please review this pull request and provide feedback on:
- Code quality and best practices
- Potential bugs or issues
- Performance considerations
- Security concerns
- Test coverage
PR number: ${{ github.event.number }}
Repo: ${{ github.repository }}
Use the repository's CLAUDE.md for guidance on style and conventions. Be constructive and helpful in your feedback.
Use `gh pr comment` with your Bash tool to leave your review as a comment on the PR.
# See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
# or https://docs.anthropic.com/en/docs/claude-code/sdk#command-line for available options
claude_args: '--allowed-tools "Bash(gh issue view:*),Bash(gh search:*),Bash(gh issue list:*),Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh pr list:*)"'

View File

@@ -1,112 +0,0 @@
name: Claude Translator
concurrency:
group: translator-${{ github.event.comment.id || github.event.issue.number || github.event.review.id }}
cancel-in-progress: false
on:
issues:
types: [opened]
issue_comment:
types: [created, edited]
pull_request_review:
types: [submitted, edited]
pull_request_review_comment:
types: [created, edited]
jobs:
translate:
if: |
(github.event_name == 'issues')
|| (github.event_name == 'issue_comment' && github.event.sender.type != 'Bot')
|| (
(github.event_name == 'pull_request_review' || github.event_name == 'pull_request_review_comment')
&& github.event.sender.type != 'Bot'
&& github.event.pull_request.head.repo.fork == false
)
runs-on: ubuntu-latest
permissions:
contents: read
issues: write # 编辑issues/comments
pull-requests: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude for translation
uses: anthropics/claude-code-action@main
id: claude
with:
# Warning: Permissions should have been controlled by workflow permission.
# Now `contents: read` is safe for files, but we could make a fine-grained token to control it.
# See: https://github.com/anthropics/claude-code-action/blob/main/docs/security.md
github_token: ${{ secrets.TOKEN_GITHUB_WRITE }}
allowed_non_write_users: "*"
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:repos/*/issues:*),Bash(gh api:repos/*/pulls/*/reviews/*),Bash(gh api:repos/*/pulls/comments/*)"
prompt: |
你是一个多语言翻译助手。你需要响应 GitHub Webhooks 中的以下四种事件:
- issues
- issue_comment
- pull_request_review
- pull_request_review_comment
请完成以下任务:
1. 获取当前事件的完整信息。
- 如果当前事件是 issues就获取该 issues 的信息。
- 如果当前事件是 issue_comment就获取该 comment 的信息。
- 如果当前事件是 pull_request_review就获取该 review 的信息。
- 如果当前事件是 pull_request_review_comment就获取该 comment 的信息。
2. 智能检测内容。
- 如果获取到的信息是已经遵循格式要求翻译过的内容,则检查翻译内容和原始内容是否匹配。若不匹配,则重新翻译一次令其匹配,并遵循格式要求;
- 如果获取到的信息是未翻译过的内容,检查其内容语言。若不是英文,则翻译成英文;
- 如果获取到的信息是部分翻译为英文的内容,则将其翻译为英文;
- 如果获取到的信息包含了对已翻译内容的引用,则将引用内容清理为仅含英文的内容。引用的内容不能够包含"This xxx was translated by Claude"和"Original Content`等内容。
- 如果获取到的信息包含了其他类型的引用,即对非 Claude 翻译的内容的引用,则直接照原样引用,不进行翻译。
- 如果获取到的信息是通过邮件回复的内容,则在翻译时应当将邮件内容的引用放到最后。在原始内容和翻译内容中只需要回复的内容本身,不要包含对邮件内容的引用。
- 如果获取到的信息本身不需要任何处理,则跳过任务。
3. 格式要求:
- 标题:英文翻译(如果非英文)
- 内容格式:
> [!NOTE]
> This issue/comment/review was translated by Claude.
[翻译内容]
---
<details>
<summary>Original Content</summary>
[原始内容]
</details>
4. 使用gh工具更新
- 根据环境信息中的Event类型选择正确的命令
- 如果 Event 是 'issues': gh issue edit [ISSUE_NUMBER] --title "[英文标题]" --body "[翻译内容 + 原始内容]"
- 如果 Event 是 'issue_comment': gh api -X PATCH /repos/${{ github.repository }}/issues/comments/${{ github.event.comment.id }} -f body="[翻译内容 + 原始内容]"
- 如果 Event 是 'pull_request_review': gh api -X PUT /repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/reviews/${{ github.event.review.id }} -f body="[翻译内容]"
- 如果 Event 是 'pull_request_review_comment': gh api -X PATCH /repos/${{ github.repository }}/pulls/comments/${{ github.event.comment.id }} -f body="[翻译内容 + 原始内容]"
环境信息:
- Event: ${{ github.event_name }}
- Issue Number: ${{ github.event.issue.number }}
- Repository: ${{ github.repository }}
- (Review) Comment ID: ${{ github.event.comment.id || 'N/A' }}
- Pull Request Number: ${{ github.event.pull_request.number || 'N/A' }}
- Review ID: ${{ github.event.review.id || 'N/A' }}
使用以下命令获取完整信息:
gh issue view ${{ github.event.issue.number }} --json title,body,comments
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}

View File

@@ -1,60 +0,0 @@
name: Claude Code
on:
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
issues:
types: [opened]
pull_request_review:
types: [submitted]
jobs:
claude:
if: |
(github.event_name == 'issue_comment'
&& contains(github.event.comment.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.comment.author_association))
||
(github.event_name == 'pull_request_review_comment'
&& contains(github.event.comment.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.comment.author_association))
||
(github.event_name == 'pull_request_review'
&& contains(github.event.review.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.review.author_association))
||
(github.event_name == 'issues'
&& (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude'))
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.issue.author_association))
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
issues: read
id-token: write
actions: read # Required for Claude to read CI results on PRs
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude Code
id: claude
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
# This is an optional setting that allows Claude to read CI results on PRs
additional_permissions: |
actions: read
# Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it.
# prompt: 'Update the pull request description to include a summary of changes.'
# Optional: Add claude_args to customize behavior and configuration
# See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
# or https://docs.anthropic.com/en/docs/claude-code/sdk#command-line for available options
# claude_args: '--model claude-opus-4-1-20250805 --allowed-tools Bash(gh pr:*)'

View File

@@ -1,23 +0,0 @@
name: Delete merged branch
on:
pull_request:
types:
- closed
jobs:
delete-branch:
runs-on: ubuntu-latest
permissions:
contents: write
if: github.event.pull_request.merged == true && github.event.pull_request.head.repo.full_name == github.repository
steps:
- name: Delete merged branch
uses: actions/github-script@v8
continue-on-error: true
with:
script: |
github.rest.git.deleteRef({
owner: context.repo.owner,
repo: context.repo.repo,
ref: `heads/${context.payload.pull_request.head.ref}`,
})

View File

@@ -1,187 +0,0 @@
name: GitHub Issue Tracker with Feishu Notification
on:
issues:
types: [opened]
schedule:
# Run every day at 8:30 Beijing Time (00:30 UTC)
- cron: "30 0 * * *"
workflow_dispatch:
jobs:
process-new-issue:
if: github.event_name == 'issues'
runs-on: ubuntu-latest
permissions:
issues: write
contents: read
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Check Beijing Time
id: check_time
run: |
# Get current time in Beijing timezone (UTC+8)
BEIJING_HOUR=$(TZ='Asia/Shanghai' date +%H)
BEIJING_MINUTE=$(TZ='Asia/Shanghai' date +%M)
echo "Beijing Time: ${BEIJING_HOUR}:${BEIJING_MINUTE}"
# Check if time is between 00:00 and 08:30
if [ $BEIJING_HOUR -lt 8 ] || ([ $BEIJING_HOUR -eq 8 ] && [ $BEIJING_MINUTE -le 30 ]); then
echo "should_delay=true" >> $GITHUB_OUTPUT
echo "⏰ Issue created during quiet hours (00:00-08:30 Beijing Time)"
echo "Will schedule notification for 08:30"
else
echo "should_delay=false" >> $GITHUB_OUTPUT
echo "✅ Issue created during active hours, will notify immediately"
fi
- name: Add pending label if in quiet hours
if: steps.check_time.outputs.should_delay == 'true'
uses: actions/github-script@v7
with:
script: |
github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
labels: ['pending-feishu-notification']
});
- name: Setup Node.js
if: steps.check_time.outputs.should_delay == 'false'
uses: actions/setup-node@v6
with:
node-version: 22
- name: Process issue with Claude
if: steps.check_time.outputs.should_delay == 'false'
uses: anthropics/claude-code-action@main
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(node scripts/feishu-notify.js)"
prompt: |
你是一个GitHub Issue自动化处理助手。请完成以下任务
## 当前Issue信息
- Issue编号#${{ github.event.issue.number }}
- 标题:${{ github.event.issue.title }}
- 作者:${{ github.event.issue.user.login }}
- URL${{ github.event.issue.html_url }}
- 内容:${{ github.event.issue.body }}
- 标签:${{ join(github.event.issue.labels.*.name, ', ') }}
## 任务步骤
1. **分析并总结issue**
用中文简体提供简洁的总结2-3句话包括
- 问题的主要内容
- 核心诉求
- 重要的技术细节
2. **发送飞书通知**
使用以下命令发送飞书通知注意ISSUE_SUMMARY需要用引号包裹
```bash
ISSUE_URL="${{ github.event.issue.html_url }}" \
ISSUE_NUMBER="${{ github.event.issue.number }}" \
ISSUE_TITLE="${{ github.event.issue.title }}" \
ISSUE_AUTHOR="${{ github.event.issue.user.login }}" \
ISSUE_LABELS="${{ join(github.event.issue.labels.*.name, ',') }}" \
ISSUE_SUMMARY="<你生成的中文总结>" \
node scripts/feishu-notify.js
```
## 注意事项
- 总结必须使用简体中文
- ISSUE_SUMMARY 在传递给 node 命令时需要正确转义特殊字符
- 如果issue内容为空也要提供一个简短的说明
请开始执行任务!
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}
process-pending-issues:
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
permissions:
issues: write
contents: read
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: 22
- name: Process pending issues with Claude
uses: anthropics/claude-code-action@main
with:
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
allowed_non_write_users: "*"
github_token: ${{ secrets.GITHUB_TOKEN }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:*),Bash(node scripts/feishu-notify.js)"
prompt: |
你是一个GitHub Issue自动化处理助手。请完成以下任务
## 任务说明
处理所有待发送飞书通知的GitHub Issues标记为 `pending-feishu-notification` 的issues
## 步骤
1. **获取待处理的issues**
使用以下命令获取所有带 `pending-feishu-notification` 标签的issues
```bash
gh api repos/${{ github.repository }}/issues?labels=pending-feishu-notification&state=open
```
2. **总结每个issue**
对于每个找到的issue用中文提供简洁的总结2-3句话包括
- 问题的主要内容
- 核心诉求
- 重要的技术细节
3. **发送飞书通知**
对于每个issue使用以下命令发送飞书通知
```bash
ISSUE_URL="<issue的html_url>" \
ISSUE_NUMBER="<issue编号>" \
ISSUE_TITLE="<issue标题>" \
ISSUE_AUTHOR="<issue作者>" \
ISSUE_LABELS="<逗号分隔的标签列表排除pending-feishu-notification>" \
ISSUE_SUMMARY="<你生成的中文总结>" \
node scripts/feishu-notify.js
```
4. **移除标签**
成功发送后,使用以下命令移除 `pending-feishu-notification` 标签:
```bash
gh api -X DELETE repos/${{ github.repository }}/issues/<issue编号>/labels/pending-feishu-notification
```
## 环境变量
- Repository: ${{ github.repository }}
- Feishu webhook URL和密钥已在环境变量中配置好
## 注意事项
- 如果没有待处理的issues输出提示信息后直接结束
- 处理多个issues时每个issue之间等待2-3秒避免API限流
- 如果某个issue处理失败继续处理下一个不要中断整个流程
- 所有总结必须使用中文(简体中文)
请开始执行任务!
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}

25
.github/workflows/issue-checker.yml vendored Normal file
View File

@@ -0,0 +1,25 @@
name: 'Issue Checker'
on:
issues:
types: [opened, edited]
pull_request_target:
types: [opened, edited]
issue_comment:
types: [created, edited]
permissions:
contents: read
issues: write
pull-requests: write
jobs:
triage:
runs-on: ubuntu-latest
steps:
- uses: MaaAssistantArknights/issue-checker@v1.14
with:
repo-token: '${{ secrets.GITHUB_TOKEN }}'
configuration-path: .github/issue-checker.yml
not-before: 2022-08-05T00:00:00Z
include-title: 1

View File

@@ -21,7 +21,7 @@ jobs:
contents: none
steps:
- name: Close needs-more-info issues
uses: actions/stale@v10
uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
only-labels: 'needs-more-info'
@@ -29,10 +29,8 @@ jobs:
days-before-close: 0 # Close immediately after stale
stale-issue-label: 'inactive'
close-issue-label: 'closed:no-response'
exempt-all-milestones: true
exempt-all-assignees: true
stale-issue-message: |
This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
It will be closed now due to lack of additional information.
该问题被标记为"需要更多信息"且已经 ${{ env.daysBeforeStale }} 天没有任何活动,将立即关闭。
@@ -42,14 +40,12 @@ jobs:
days-before-pr-close: -1
- name: Close inactive issues
uses: actions/stale@v10
uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
days-before-stale: ${{ env.daysBeforeStale }}
days-before-close: ${{ env.daysBeforeClose }}
stale-issue-label: 'inactive'
exempt-all-milestones: true
exempt-all-assignees: true
stale-issue-message: |
This issue has been inactive for a prolonged period and will be closed automatically in ${{ env.daysBeforeClose }} days.
该问题已长时间处于闲置状态,${{ env.daysBeforeClose }} 天后将自动关闭。

View File

@@ -3,7 +3,7 @@ name: Nightly Build
on:
workflow_dispatch:
schedule:
- cron: "0 17 * * *" # 1:00 BJ Time
- cron: '0 17 * * *' # 1:00 BJ Time
permissions:
contents: write
@@ -56,9 +56,9 @@ jobs:
ref: main
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 22
node-version: 20
- name: macos-latest dependencies fix
if: matrix.os == 'macos-latest'
@@ -66,7 +66,7 @@ jobs:
brew install python-setuptools
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path
@@ -98,10 +98,10 @@ jobs:
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Mac
if: matrix.os == 'macos-latest'
@@ -110,15 +110,15 @@ jobs:
env:
CSC_LINK: ${{ secrets.CSC_LINK }}
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
APPLE_ID: ${{ secrets.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
APPLE_ID: ${{ vars.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Windows
if: matrix.os == 'windows-latest'
@@ -127,10 +127,10 @@ jobs:
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Rename artifacts with nightly format
shell: bash
@@ -208,7 +208,7 @@ jobs:
echo "总计: $(find renamed-artifacts -type f | wc -l) 个文件"
- name: Upload artifacts
uses: actions/upload-artifact@v5
uses: actions/upload-artifact@v4
with:
name: cherry-studio-nightly-${{ steps.date.outputs.date }}-${{ matrix.os }}
path: renamed-artifacts/*

View File

@@ -9,27 +9,24 @@ on:
branches:
- main
- develop
- v2
types: [ready_for_review, synchronize, opened]
jobs:
build:
runs-on: ubuntu-latest
env:
PRCI: true
if: github.event.pull_request.draft == false
steps:
- name: Check out Git repository
uses: actions/checkout@v5
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 22
node-version: 20
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path
@@ -51,9 +48,6 @@ jobs:
- name: Lint Check
run: yarn test:lint
- name: Format Check
run: yarn format:check
- name: Type Check
run: yarn typecheck

View File

@@ -4,9 +4,9 @@ on:
workflow_dispatch:
inputs:
tag:
description: "Release tag (e.g. v1.0.0)"
description: 'Release tag (e.g. v1.0.0)'
required: true
default: "v1.0.0"
default: 'v1.0.0'
push:
tags:
- v*.*.*
@@ -47,9 +47,9 @@ jobs:
npm version "$VERSION" --no-git-tag-version --allow-same-version
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 22
node-version: 20
- name: macos-latest dependencies fix
if: matrix.os == 'macos-latest'
@@ -57,7 +57,7 @@ jobs:
brew install python-setuptools
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path
@@ -85,10 +85,10 @@ jobs:
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Mac
if: matrix.os == 'macos-latest'
@@ -98,15 +98,15 @@ jobs:
env:
CSC_LINK: ${{ secrets.CSC_LINK }}
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
APPLE_ID: ${{ secrets.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
APPLE_ID: ${{ vars.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Windows
if: matrix.os == 'windows-latest'
@@ -115,10 +115,10 @@ jobs:
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
MAIN_VITE_CHERRYIN_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYIN_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Release
uses: ncipollo/release-action@v1
@@ -127,5 +127,5 @@ jobs:
allowUpdates: true
makeLatest: false
tag: ${{ steps.get-tag.outputs.tag }}
artifacts: "dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap"
artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap'
token: ${{ secrets.GITHUB_TOKEN }}

View File

@@ -1,212 +0,0 @@
name: Update App Upgrade Config
on:
release:
types:
- released
- prereleased
workflow_dispatch:
inputs:
tag:
description: "Release tag (e.g., v1.2.3)"
required: true
type: string
is_prerelease:
description: "Mark the tag as a prerelease when running manually"
required: false
default: false
type: boolean
permissions:
contents: write
pull-requests: write
jobs:
propose-update:
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' || (github.event_name == 'release' && github.event.release.draft == false)
steps:
- name: Check if should proceed
id: check
run: |
EVENT="${{ github.event_name }}"
if [ "$EVENT" = "workflow_dispatch" ]; then
TAG="${{ github.event.inputs.tag }}"
else
TAG="${{ github.event.release.tag_name }}"
fi
latest_tag=$(
curl -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ github.token }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
https://api.github.com/repos/${{ github.repository }}/releases/latest \
| jq -r '.tag_name'
)
if [ "$EVENT" = "workflow_dispatch" ]; then
MANUAL_IS_PRERELEASE="${{ github.event.inputs.is_prerelease }}"
if [ -z "$MANUAL_IS_PRERELEASE" ]; then
MANUAL_IS_PRERELEASE="false"
fi
if [ "$MANUAL_IS_PRERELEASE" = "true" ]; then
if ! echo "$TAG" | grep -E '(-beta([.-][0-9]+)?|-rc([.-][0-9]+)?)' >/dev/null; then
echo "Manual prerelease flag set but tag $TAG lacks beta/rc suffix. Skipping." >&2
echo "should_run=false" >> "$GITHUB_OUTPUT"
echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
exit 0
fi
fi
echo "should_run=true" >> "$GITHUB_OUTPUT"
echo "is_prerelease=$MANUAL_IS_PRERELEASE" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
exit 0
fi
IS_PRERELEASE="${{ github.event.release.prerelease }}"
if [ "$IS_PRERELEASE" = "true" ]; then
if ! echo "$TAG" | grep -E '(-beta([.-][0-9]+)?|-rc([.-][0-9]+)?)' >/dev/null; then
echo "Release marked as prerelease but tag $TAG lacks beta/rc suffix. Skipping." >&2
echo "should_run=false" >> "$GITHUB_OUTPUT"
echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "should_run=true" >> "$GITHUB_OUTPUT"
echo "is_prerelease=true" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
echo "Release is prerelease, proceeding"
exit 0
fi
if [[ "${latest_tag}" == "$TAG" ]]; then
echo "should_run=true" >> "$GITHUB_OUTPUT"
echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
echo "Release is latest, proceeding"
else
echo "should_run=false" >> "$GITHUB_OUTPUT"
echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
echo "Release is neither prerelease nor latest, skipping"
fi
- name: Prepare metadata
id: meta
if: steps.check.outputs.should_run == 'true'
run: |
EVENT="${{ github.event_name }}"
LATEST_TAG="${{ steps.check.outputs.latest_tag }}"
if [ "$EVENT" = "release" ]; then
TAG="${{ github.event.release.tag_name }}"
PRE="${{ github.event.release.prerelease }}"
if [ -n "$LATEST_TAG" ] && [ "$LATEST_TAG" = "$TAG" ]; then
LATEST="true"
else
LATEST="false"
fi
TRIGGER="release"
else
TAG="${{ github.event.inputs.tag }}"
PRE="${{ github.event.inputs.is_prerelease }}"
if [ -z "$PRE" ]; then
PRE="false"
fi
if [ -n "$LATEST_TAG" ] && [ "$LATEST_TAG" = "$TAG" ] && [ "$PRE" != "true" ]; then
LATEST="true"
else
LATEST="false"
fi
TRIGGER="manual"
fi
SAFE_TAG=$(echo "$TAG" | sed 's/[^A-Za-z0-9._-]/-/g')
echo "tag=$TAG" >> "$GITHUB_OUTPUT"
echo "safe_tag=$SAFE_TAG" >> "$GITHUB_OUTPUT"
echo "prerelease=$PRE" >> "$GITHUB_OUTPUT"
echo "latest=$LATEST" >> "$GITHUB_OUTPUT"
echo "trigger=$TRIGGER" >> "$GITHUB_OUTPUT"
- name: Checkout default branch
if: steps.check.outputs.should_run == 'true'
uses: actions/checkout@v5
with:
ref: ${{ github.event.repository.default_branch }}
path: main
fetch-depth: 0
- name: Checkout x-files/app-upgrade-config branch
if: steps.check.outputs.should_run == 'true'
uses: actions/checkout@v5
with:
ref: x-files/app-upgrade-config
path: cs
fetch-depth: 0
- name: Setup Node.js
if: steps.check.outputs.should_run == 'true'
uses: actions/setup-node@v4
with:
node-version: 22
- name: Enable Corepack
if: steps.check.outputs.should_run == 'true'
run: corepack enable && corepack prepare yarn@4.9.1 --activate
- name: Install dependencies
if: steps.check.outputs.should_run == 'true'
working-directory: main
run: yarn install --immutable
- name: Update upgrade config
if: steps.check.outputs.should_run == 'true'
working-directory: main
env:
RELEASE_TAG: ${{ steps.meta.outputs.tag }}
IS_PRERELEASE: ${{ steps.check.outputs.is_prerelease }}
run: |
yarn tsx scripts/update-app-upgrade-config.ts \
--tag "$RELEASE_TAG" \
--config ../cs/app-upgrade-config.json \
--is-prerelease "$IS_PRERELEASE"
- name: Detect changes
if: steps.check.outputs.should_run == 'true'
id: diff
working-directory: cs
run: |
if git diff --quiet -- app-upgrade-config.json; then
echo "changed=false" >> "$GITHUB_OUTPUT"
else
echo "changed=true" >> "$GITHUB_OUTPUT"
fi
- name: Create pull request
if: steps.check.outputs.should_run == 'true' && steps.diff.outputs.changed == 'true'
uses: peter-evans/create-pull-request@v7
with:
path: cs
base: x-files/app-upgrade-config
branch: chore/update-app-upgrade-config/${{ steps.meta.outputs.safe_tag }}
commit-message: "🤖 chore: sync app-upgrade-config for ${{ steps.meta.outputs.tag }}"
title: "chore: update app-upgrade-config for ${{ steps.meta.outputs.tag }}"
body: |
Automated update triggered by `${{ steps.meta.outputs.trigger }}`.
- Source tag: `${{ steps.meta.outputs.tag }}`
- Pre-release: `${{ steps.meta.outputs.prerelease }}`
- Latest: `${{ steps.meta.outputs.latest }}`
- Workflow run: https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}
labels: |
automation
app-upgrade
- name: No changes detected
if: steps.check.outputs.should_run == 'true' && steps.diff.outputs.changed != 'true'
run: echo "No updates required for x-files/app-upgrade-config/app-upgrade-config.json"

5
.gitignore vendored
View File

@@ -37,7 +37,6 @@ dist
out
mcp_server
stats.html
.eslintcache
# ENV
.env
@@ -54,8 +53,6 @@ local
.qwen/*
.trae/*
.claude-code-router/*
.codebuddy/*
.zed/*
CLAUDE.local.md
# vitest
@@ -71,5 +68,3 @@ playwright-report
test-results
YOUR_MEMORY_FILE_PATH
.sessions/

View File

@@ -1,158 +0,0 @@
{
"$schema": "./node_modules/oxlint/configuration_schema.json",
"categories": {},
"env": {
"es2022": true
},
"globals": {},
"ignorePatterns": [
"node_modules/**",
"build/**",
"dist/**",
"out/**",
"local/**",
"tests/**",
".yarn/**",
".gitignore",
"scripts/cloudflare-worker.js",
"src/main/integration/nutstore/sso/lib/**",
"src/main/integration/cherryai/index.js",
"src/main/integration/nutstore/sso/lib/**",
"src/renderer/src/ui/**",
"packages/**/dist",
"eslint.config.mjs"
],
"overrides": [
{
"env": {
"node": true
},
"files": ["src/main/**", "resources/scripts/**", "scripts/**", "playwright.config.ts", "electron.vite.config.ts"]
},
{
"env": {
"browser": true
},
"files": [
"src/renderer/**/*.{ts,tsx}",
"packages/aiCore/**",
"packages/extension-table-plus/**"
]
},
{
"env": {
"node": true,
"vitest": true
},
"files": ["**/__tests__/*.test.{ts,tsx}", "tests/**"]
},
{
"env": {
"browser": true,
"node": true
},
"files": ["src/preload/**"]
},
{
"files": ["packages/ai-sdk-provider/**"],
"globals": {
"fetch": "readonly"
}
}
],
"plugins": ["unicorn", "typescript", "oxc", "import"],
"rules": {
"no-array-constructor": "off",
"no-caller": "warn",
"no-eval": "warn",
"no-fallthrough": "warn",
"no-unassigned-vars": "warn",
"no-unused-expressions": "off",
"no-unused-vars": ["warn", { "caughtErrors": "none" }],
"no-useless-rename": "warn",
"oxc/bad-array-method-on-arguments": "warn",
"oxc/bad-char-at-comparison": "warn",
"oxc/bad-comparison-sequence": "warn",
"oxc/bad-min-max-func": "warn",
"oxc/bad-object-literal-comparison": "warn",
"oxc/bad-replace-all-arg": "warn",
"oxc/const-comparisons": "warn",
"oxc/double-comparisons": "warn",
"oxc/erasing-op": "warn",
"oxc/missing-throw": "warn",
"oxc/number-arg-out-of-range": "warn",
"oxc/only-used-in-recursion": "off",
"oxc/uninvoked-array-callback": "warn",
"typescript/await-thenable": "warn",
"typescript/consistent-type-imports": "error",
"typescript/no-array-constructor": "error",
"typescript/no-array-delete": "warn",
"typescript/no-base-to-string": "warn",
"typescript/no-duplicate-enum-values": "error",
"typescript/no-duplicate-type-constituents": "warn",
"typescript/no-empty-object-type": "off",
"typescript/no-explicit-any": "off",
"typescript/no-extra-non-null-assertion": "error",
"typescript/no-floating-promises": "warn",
"typescript/no-for-in-array": "warn",
"typescript/no-implied-eval": "warn",
"typescript/no-meaningless-void-operator": "warn",
"typescript/no-misused-new": "error",
"typescript/no-misused-spread": "warn",
"typescript/no-namespace": "error",
"typescript/no-non-null-asserted-optional-chain": "off",
"typescript/no-redundant-type-constituents": "warn",
"typescript/no-require-imports": "off",
"typescript/no-this-alias": "error",
"typescript/no-unnecessary-parameter-property-assignment": "warn",
"typescript/no-unnecessary-type-constraint": "error",
"typescript/no-unsafe-declaration-merging": "error",
"typescript/no-unsafe-function-type": "error",
"typescript/no-unsafe-unary-minus": "warn",
"typescript/no-useless-empty-export": "warn",
"typescript/no-wrapper-object-types": "error",
"typescript/prefer-as-const": "error",
"typescript/prefer-namespace-keyword": "error",
"typescript/require-array-sort-compare": "warn",
"typescript/restrict-template-expressions": "warn",
"typescript/triple-slash-reference": "error",
"typescript/unbound-method": "warn",
"unicorn/no-await-in-promise-methods": "warn",
"unicorn/no-empty-file": "off",
"unicorn/no-invalid-fetch-options": "warn",
"unicorn/no-invalid-remove-event-listener": "warn",
"unicorn/no-new-array": "off",
"unicorn/no-single-promise-in-promise-methods": "warn",
"unicorn/no-thenable": "off",
"unicorn/no-unnecessary-await": "warn",
"unicorn/no-useless-fallback-in-spread": "warn",
"unicorn/no-useless-length-check": "warn",
"unicorn/no-useless-spread": "off",
"unicorn/prefer-set-size": "warn",
"unicorn/prefer-string-starts-ends-with": "warn"
},
"settings": {
"jsdoc": {
"augmentsExtendsReplacesDocs": false,
"exemptDestructuredRootsFromChecks": false,
"ignoreInternal": false,
"ignorePrivate": false,
"ignoreReplacesDocs": true,
"implementsReplacesDocs": false,
"overrideReplacesDocs": true,
"tagNamePreference": {}
},
"jsx-a11y": {
"attributes": {},
"components": {},
"polymorphicPropName": null
},
"next": {
"rootDir": []
},
"react": {
"formComponents": [],
"linkComponents": []
}
}
}

11
.prettierignore Normal file
View File

@@ -0,0 +1,11 @@
out
dist
pnpm-lock.yaml
LICENSE.md
tsconfig.json
tsconfig.*.json
CHANGELOG*.md
agents.json
src/renderer/src/integration/nutstore/sso/lib
AGENT.md
src/main/integration/cherryin/index.js

11
.prettierrc Normal file
View File

@@ -0,0 +1,11 @@
{
"bracketSameLine": true,
"endOfLine": "lf",
"jsonRecursiveSort": true,
"jsonSortOrder": "{\"*\": \"lexical\"}",
"plugins": ["prettier-plugin-sort-json"],
"printWidth": 120,
"semi": false,
"singleQuote": true,
"trailingComma": "none"
}

View File

@@ -1,11 +1,8 @@
{
"recommendations": [
"dbaeumer.vscode-eslint",
"esbenp.prettier-vscode",
"editorconfig.editorconfig",
"lokalise.i18n-ally",
"bradlc.vscode-tailwindcss",
"vitest.explorer",
"oxc.oxc-vscode",
"biomejs.biome"
"lokalise.i18n-ally"
]
}

29
.vscode/settings.json vendored
View File

@@ -1,43 +1,38 @@
{
"[css]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[javascript]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[json]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[jsonc]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[markdown]": {
"files.trimTrailingWhitespace": false
},
"[scss]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[typescript]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[typescriptreact]": {
"editor.defaultFormatter": "biomejs.biome"
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"editor.codeActionsOnSave": {
"source.fixAll.biome": "explicit",
"source.fixAll.eslint": "explicit",
"source.fixAll.oxc": "explicit",
"source.organizeImports": "never"
},
"editor.formatOnSave": true,
"files.associations": {
"*.css": "tailwindcss"
},
"files.eol": "\n",
// "i18n-ally.displayLanguage": "zh-cn", // 界面显示语言
"i18n-ally.displayLanguage": "zh-cn",
"i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
"i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
"i18n-ally.fullReloadOnChanged": true,
"i18n-ally.fullReloadOnChanged": true, // 界面显示语言
"i18n-ally.keystyle": "nested", // 翻译路径格式
"i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
// "i18n-ally.namespace": true, // 开启命名空间
@@ -47,9 +42,5 @@
"search.exclude": {
"**/dist/**": true,
".yarn/releases/**": true
},
"tailwindCSS.classAttributes": [
"className",
"classNames",
]
}
}

View File

@@ -1,26 +0,0 @@
diff --git a/dist/index.js b/dist/index.js
index 51ce7e423934fb717cb90245cdfcdb3dae6780e6..0f7f7009e2f41a79a8669d38c8a44867bbff5e1f 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -474,7 +474,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts
diff --git a/dist/index.mjs b/dist/index.mjs
index f4b77e35c0cbfece85a3ef0d4f4e67aa6dde6271..8d2fecf8155a226006a0bde72b00b6036d4014b6 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -480,7 +480,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts

View File

@@ -1,140 +0,0 @@
diff --git a/dist/index.js b/dist/index.js
index 73045a7d38faafdc7f7d2cd79d7ff0e2b031056b..8d948c9ac4ea4b474db9ef3c5491961e7fcf9a07 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -421,6 +421,17 @@ var OpenAICompatibleChatLanguageModel = class {
text: reasoning
});
}
+ if (choice.message.images) {
+ for (const image of choice.message.images) {
+ const match1 = image.image_url.url.match(/^data:([^;]+)/)
+ const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
+ content.push({
+ type: 'file',
+ mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
+ data: match2 ? match2[1] : image.image_url.url,
+ });
+ }
+ }
if (choice.message.tool_calls != null) {
for (const toolCall of choice.message.tool_calls) {
content.push({
@@ -598,6 +609,17 @@ var OpenAICompatibleChatLanguageModel = class {
delta: delta.content
});
}
+ if (delta.images) {
+ for (const image of delta.images) {
+ const match1 = image.image_url.url.match(/^data:([^;]+)/)
+ const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
+ controller.enqueue({
+ type: 'file',
+ mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
+ data: match2 ? match2[1] : image.image_url.url,
+ });
+ }
+ }
if (delta.tool_calls != null) {
for (const toolCallDelta of delta.tool_calls) {
const index = toolCallDelta.index;
@@ -765,6 +787,14 @@ var OpenAICompatibleChatResponseSchema = import_v43.z.object({
arguments: import_v43.z.string()
})
})
+ ).nullish(),
+ images: import_v43.z.array(
+ import_v43.z.object({
+ type: import_v43.z.literal('image_url'),
+ image_url: import_v43.z.object({
+ url: import_v43.z.string(),
+ })
+ })
).nullish()
}),
finish_reason: import_v43.z.string().nullish()
@@ -795,6 +825,14 @@ var createOpenAICompatibleChatChunkSchema = (errorSchema) => import_v43.z.union(
arguments: import_v43.z.string().nullish()
})
})
+ ).nullish(),
+ images: import_v43.z.array(
+ import_v43.z.object({
+ type: import_v43.z.literal('image_url'),
+ image_url: import_v43.z.object({
+ url: import_v43.z.string(),
+ })
+ })
).nullish()
}).nullish(),
finish_reason: import_v43.z.string().nullish()
diff --git a/dist/index.mjs b/dist/index.mjs
index 1c2b9560bbfbfe10cb01af080aeeed4ff59db29c..2c8ddc4fc9bfc5e7e06cfca105d197a08864c427 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -405,6 +405,17 @@ var OpenAICompatibleChatLanguageModel = class {
text: reasoning
});
}
+ if (choice.message.images) {
+ for (const image of choice.message.images) {
+ const match1 = image.image_url.url.match(/^data:([^;]+)/)
+ const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
+ content.push({
+ type: 'file',
+ mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
+ data: match2 ? match2[1] : image.image_url.url,
+ });
+ }
+ }
if (choice.message.tool_calls != null) {
for (const toolCall of choice.message.tool_calls) {
content.push({
@@ -582,6 +593,17 @@ var OpenAICompatibleChatLanguageModel = class {
delta: delta.content
});
}
+ if (delta.images) {
+ for (const image of delta.images) {
+ const match1 = image.image_url.url.match(/^data:([^;]+)/)
+ const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
+ controller.enqueue({
+ type: 'file',
+ mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
+ data: match2 ? match2[1] : image.image_url.url,
+ });
+ }
+ }
if (delta.tool_calls != null) {
for (const toolCallDelta of delta.tool_calls) {
const index = toolCallDelta.index;
@@ -749,6 +771,14 @@ var OpenAICompatibleChatResponseSchema = z3.object({
arguments: z3.string()
})
})
+ ).nullish(),
+ images: z3.array(
+ z3.object({
+ type: z3.literal('image_url'),
+ image_url: z3.object({
+ url: z3.string(),
+ })
+ })
).nullish()
}),
finish_reason: z3.string().nullish()
@@ -779,6 +809,14 @@ var createOpenAICompatibleChatChunkSchema = (errorSchema) => z3.union([
arguments: z3.string().nullish()
})
})
+ ).nullish(),
+ images: z3.array(
+ z3.object({
+ type: z3.literal('image_url'),
+ image_url: z3.object({
+ url: z3.string(),
+ })
+ })
).nullish()
}).nullish(),
finish_reason: z3.string().nullish()

View File

@@ -1,74 +0,0 @@
diff --git a/dist/index.js b/dist/index.js
index bf900591bf2847a3253fe441aad24c06da19c6c1..c1d9bb6fefa2df1383339324073db0a70ea2b5a2 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -274,6 +274,7 @@ var openaiChatResponseSchema = (0, import_provider_utils3.lazyValidator)(
message: import_v42.z.object({
role: import_v42.z.literal("assistant").nullish(),
content: import_v42.z.string().nullish(),
+ reasoning_content: import_v42.z.string().nullish(),
tool_calls: import_v42.z.array(
import_v42.z.object({
id: import_v42.z.string().nullish(),
@@ -340,6 +341,7 @@ var openaiChatChunkSchema = (0, import_provider_utils3.lazyValidator)(
delta: import_v42.z.object({
role: import_v42.z.enum(["assistant"]).nullish(),
content: import_v42.z.string().nullish(),
+ reasoning_content: import_v42.z.string().nullish(),
tool_calls: import_v42.z.array(
import_v42.z.object({
index: import_v42.z.number(),
@@ -795,6 +797,13 @@ var OpenAIChatLanguageModel = class {
if (text != null && text.length > 0) {
content.push({ type: "text", text });
}
+ const reasoning = choice.message.reasoning_content;
+ if (reasoning != null && reasoning.length > 0) {
+ content.push({
+ type: 'reasoning',
+ text: reasoning
+ });
+ }
for (const toolCall of (_a = choice.message.tool_calls) != null ? _a : []) {
content.push({
type: "tool-call",
@@ -876,6 +885,7 @@ var OpenAIChatLanguageModel = class {
};
let metadataExtracted = false;
let isActiveText = false;
+ let isActiveReasoning = false;
const providerMetadata = { openai: {} };
return {
stream: response.pipeThrough(
@@ -933,6 +943,21 @@ var OpenAIChatLanguageModel = class {
return;
}
const delta = choice.delta;
+ const reasoningContent = delta.reasoning_content;
+ if (reasoningContent) {
+ if (!isActiveReasoning) {
+ controller.enqueue({
+ type: 'reasoning-start',
+ id: 'reasoning-0',
+ });
+ isActiveReasoning = true;
+ }
+ controller.enqueue({
+ type: 'reasoning-delta',
+ id: 'reasoning-0',
+ delta: reasoningContent,
+ });
+ }
if (delta.content != null) {
if (!isActiveText) {
controller.enqueue({ type: "text-start", id: "0" });
@@ -1045,6 +1070,9 @@ var OpenAIChatLanguageModel = class {
}
},
flush(controller) {
+ if (isActiveReasoning) {
+ controller.enqueue({ type: 'reasoning-end', id: 'reasoning-0' });
+ }
if (isActiveText) {
controller.enqueue({ type: "text-end", id: "0" });
}

View File

@@ -1,35 +0,0 @@
diff --git a/sdk.mjs b/sdk.mjs
index bf429a344b7d59f70aead16b639f949b07688a81..f77d50cc5d3fb04292cb3ac7fa7085d02dcc628f 100755
--- a/sdk.mjs
+++ b/sdk.mjs
@@ -6250,7 +6250,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
}
// ../src/transport/ProcessTransport.ts
-import { spawn } from "child_process";
+import { fork } from "child_process";
import { createInterface } from "readline";
// ../src/utils/fsOperations.ts
@@ -6619,18 +6619,11 @@ class ProcessTransport {
const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
throw new ReferenceError(errorMessage);
}
- const isNative = isNativeBinary(pathToClaudeCodeExecutable);
- const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
- const spawnArgs = isNative ? [...executableArgs, ...args] : [...executableArgs, pathToClaudeCodeExecutable, ...args];
- const spawnMessage = isNative ? `Spawning Claude Code native binary: ${spawnCommand} ${spawnArgs.join(" ")}` : `Spawning Claude Code process: ${spawnCommand} ${spawnArgs.join(" ")}`;
- logForSdkDebugging(spawnMessage);
- if (stderr) {
- stderr(spawnMessage);
- }
+ logForSdkDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
const stderrMode = env.DEBUG_CLAUDE_AGENT_SDK || stderr ? "pipe" : "ignore";
- this.child = spawn(spawnCommand, spawnArgs, {
+ this.child = fork(pathToClaudeCodeExecutable, args, {
cwd,
- stdio: ["pipe", "pipe", stderrMode],
+ stdio: stderrMode === "pipe" ? ["pipe", "pipe", "pipe", "ipc"] : ["pipe", "pipe", "ignore", "ipc"],
signal: this.abortController.signal,
env
});

View File

@@ -0,0 +1,71 @@
diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
index 973b0d0e75aeaf8de579419af31b879b32975413..f23c7caa8b9dc8bd404132725346a4786f6b278b 100644
--- a/dist/utils/tiktoken.cjs
+++ b/dist/utils/tiktoken.cjs
@@ -1,25 +1,14 @@
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.encodingForModel = exports.getEncoding = void 0;
-const lite_1 = require("js-tiktoken/lite");
const async_caller_js_1 = require("./async_caller.cjs");
const cache = {};
const caller = /* #__PURE__ */ new async_caller_js_1.AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new lite_1.Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
exports.getEncoding = getEncoding;
async function encodingForModel(model) {
- return getEncoding((0, lite_1.getEncodingNameForModel)(model));
+ throw new Error("TikToken Not implemented");
}
exports.encodingForModel = encodingForModel;
diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
index 8e41ee6f00f2f9c7fa2c59fa2b2f4297634b97aa..aa5f314a6349ad0d1c5aea8631a56aad099176e0 100644
--- a/dist/utils/tiktoken.js
+++ b/dist/utils/tiktoken.js
@@ -1,20 +1,9 @@
-import { Tiktoken, getEncodingNameForModel, } from "js-tiktoken/lite";
import { AsyncCaller } from "./async_caller.js";
const cache = {};
const caller = /* #__PURE__ */ new AsyncCaller({});
export async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
export async function encodingForModel(model) {
- return getEncoding(getEncodingNameForModel(model));
+ throw new Error("TikToken Not implemented");
}
diff --git a/package.json b/package.json
index 36072aecf700fca1bc49832a19be832eca726103..90b8922fba1c3d1b26f78477c891b07816d6238a 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,6 @@
"ansi-styles": "^5.0.0",
"camelcase": "6",
"decamelize": "1.2.0",
- "js-tiktoken": "^1.0.12",
"langsmith": ">=0.2.8 <0.4.0",
"mustache": "^4.2.0",
"p-queue": "^6.6.2",

View File

@@ -1,68 +0,0 @@
diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
index c5b41f121d2e3d24c3a4969e31fa1acffdcad3b9..ec724489dcae79ee6c61acf2d4d84bd19daef036 100644
--- a/dist/utils/tiktoken.cjs
+++ b/dist/utils/tiktoken.cjs
@@ -1,6 +1,5 @@
const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
const require_utils_async_caller = require('./async_caller.cjs');
-const js_tiktoken_lite = require_rolldown_runtime.__toESM(require("js-tiktoken/lite"));
//#region src/utils/tiktoken.ts
var tiktoken_exports = {};
@@ -11,14 +10,10 @@ require_rolldown_runtime.__export(tiktoken_exports, {
const cache = {};
const caller = /* @__PURE__ */ new require_utils_async_caller.AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new js_tiktoken_lite.Tiktoken(data)).catch((e) => {
- delete cache[encoding];
- throw e;
- });
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
async function encodingForModel(model) {
- return getEncoding((0, js_tiktoken_lite.getEncodingNameForModel)(model));
+ throw new Error("TikToken Not implemented");
}
//#endregion
diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
index 641acca03cb92f04a6fa5c9c31f1880ce635572e..707389970ad957aa0ff20ef37fa8dd2875be737c 100644
--- a/dist/utils/tiktoken.js
+++ b/dist/utils/tiktoken.js
@@ -1,6 +1,5 @@
import { __export } from "../_virtual/rolldown_runtime.js";
import { AsyncCaller } from "./async_caller.js";
-import { Tiktoken, getEncodingNameForModel } from "js-tiktoken/lite";
//#region src/utils/tiktoken.ts
var tiktoken_exports = {};
@@ -11,14 +10,10 @@ __export(tiktoken_exports, {
const cache = {};
const caller = /* @__PURE__ */ new AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new Tiktoken(data)).catch((e) => {
- delete cache[encoding];
- throw e;
- });
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
async function encodingForModel(model) {
- return getEncoding(getEncodingNameForModel(model));
+ throw new Error("TikToken Not implemented");
}
//#endregion
diff --git a/package.json b/package.json
index a24f8fc61de58526051999260f2ebee5f136354b..e885359e8966e7730c51772533ce37e01edb3046 100644
--- a/package.json
+++ b/package.json
@@ -20,7 +20,6 @@
"ansi-styles": "^5.0.0",
"camelcase": "6",
"decamelize": "1.2.0",
- "js-tiktoken": "^1.0.12",
"langsmith": "^0.3.64",
"mustache": "^4.2.0",
"p-queue": "^6.6.2",

View File

@@ -0,0 +1,19 @@
diff --git a/dist/embeddings.js b/dist/embeddings.js
index 1f8154be3e9c22442a915eb4b85fa6d2a21b0d0c..dc13ef4a30e6c282824a5357bcee9bd0ae222aab 100644
--- a/dist/embeddings.js
+++ b/dist/embeddings.js
@@ -214,10 +214,12 @@ export class OpenAIEmbeddings extends Embeddings {
* @returns Promise that resolves to an embedding for the document.
*/
async embedQuery(text) {
+ const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com')
+ const input = this.stripNewLines ? text.replace(/\n/g, ' ') : text
const params = {
model: this.model,
- input: this.stripNewLines ? text.replace(/\n/g, " ") : text,
- };
+ input: isBaiduCloud ? [input] : input
+ }
if (this.dimensions) {
params.dimensions = this.dimensions;
}

View File

@@ -1,17 +0,0 @@
diff --git a/dist/embeddings.js b/dist/embeddings.js
index 6f4b928d3e4717309382e1b5c2e31ab5bc6c5af0..bc79429c88a6d27d4997a2740c4d8ae0707f5991 100644
--- a/dist/embeddings.js
+++ b/dist/embeddings.js
@@ -94,9 +94,11 @@ var OpenAIEmbeddings = class extends Embeddings {
* @returns Promise that resolves to an embedding for the document.
*/
async embedQuery(text) {
+ const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com');
+ const input = this.stripNewLines ? text.replace(/\n/g, " ") : text
const params = {
model: this.model,
- input: this.stripNewLines ? text.replace(/\n/g, " ") : text
+ input: isBaiduCloud ? [input] : input
};
if (this.dimensions) params.dimensions = this.dimensions;
if (this.encodingFormat) params.encoding_format = this.encodingFormat;

View File

@@ -0,0 +1,276 @@
diff --git a/out/macPackager.js b/out/macPackager.js
index 852f6c4d16f86a7bb8a78bf1ed5a14647a279aa1..60e7f5f16a844541eb1909b215fcda1811e924b8 100644
--- a/out/macPackager.js
+++ b/out/macPackager.js
@@ -423,7 +423,7 @@ class MacPackager extends platformPackager_1.PlatformPackager {
}
appPlist.CFBundleName = appInfo.productName;
appPlist.CFBundleDisplayName = appInfo.productName;
- const minimumSystemVersion = this.platformSpecificBuildOptions.minimumSystemVersion;
+ const minimumSystemVersion = this.platformSpecificBuildOptions.LSMinimumSystemVersion;
if (minimumSystemVersion != null) {
appPlist.LSMinimumSystemVersion = minimumSystemVersion;
}
diff --git a/out/publish/updateInfoBuilder.js b/out/publish/updateInfoBuilder.js
index 7924c5b47d01f8dfccccb8f46658015fa66da1f7..1a1588923c3939ae1297b87931ba83f0ebc052d8 100644
--- a/out/publish/updateInfoBuilder.js
+++ b/out/publish/updateInfoBuilder.js
@@ -133,6 +133,7 @@ async function createUpdateInfo(version, event, releaseInfo) {
const customUpdateInfo = event.updateInfo;
const url = path.basename(event.file);
const sha512 = (customUpdateInfo == null ? null : customUpdateInfo.sha512) || (await (0, hash_1.hashFile)(event.file));
+ const minimumSystemVersion = customUpdateInfo == null ? null : customUpdateInfo.minimumSystemVersion;
const files = [{ url, sha512 }];
const result = {
// @ts-ignore
@@ -143,9 +144,13 @@ async function createUpdateInfo(version, event, releaseInfo) {
path: url /* backward compatibility, electron-updater 1.x - electron-updater 2.15.0 */,
// @ts-ignore
sha512 /* backward compatibility, electron-updater 1.x - electron-updater 2.15.0 */,
+ minimumSystemVersion,
...releaseInfo,
};
if (customUpdateInfo != null) {
+ if (customUpdateInfo.minimumSystemVersion) {
+ delete customUpdateInfo.minimumSystemVersion;
+ }
// file info or nsis web installer packages info
Object.assign("sha512" in customUpdateInfo ? files[0] : result, customUpdateInfo);
}
diff --git a/out/targets/ArchiveTarget.js b/out/targets/ArchiveTarget.js
index e1f52a5fa86fff6643b2e57eaf2af318d541f865..47cc347f154a24b365e70ae5e1f6d309f3582ed0 100644
--- a/out/targets/ArchiveTarget.js
+++ b/out/targets/ArchiveTarget.js
@@ -69,6 +69,9 @@ class ArchiveTarget extends core_1.Target {
}
}
}
+ if (updateInfo != null && this.packager.platformSpecificBuildOptions.minimumSystemVersion) {
+ updateInfo.minimumSystemVersion = this.packager.platformSpecificBuildOptions.minimumSystemVersion;
+ }
await packager.info.emitArtifactBuildCompleted({
updateInfo,
file: artifactPath,
diff --git a/out/targets/nsis/NsisTarget.js b/out/targets/nsis/NsisTarget.js
index e8bd7bb46c8a54b3f55cf3a853ef924195271e01..f956e9f3fe9eb903c78aef3502553b01de4b89b1 100644
--- a/out/targets/nsis/NsisTarget.js
+++ b/out/targets/nsis/NsisTarget.js
@@ -305,6 +305,9 @@ class NsisTarget extends core_1.Target {
if (updateInfo != null && isPerMachine && (oneClick || options.packElevateHelper)) {
updateInfo.isAdminRightsRequired = true;
}
+ if (updateInfo != null && this.packager.platformSpecificBuildOptions.minimumSystemVersion) {
+ updateInfo.minimumSystemVersion = this.packager.platformSpecificBuildOptions.minimumSystemVersion;
+ }
await packager.info.emitArtifactBuildCompleted({
file: installerPath,
updateInfo,
diff --git a/out/util/yarn.js b/out/util/yarn.js
index 1ee20f8b252a8f28d0c7b103789cf0a9a427aec1..c2878ec54d57da50bf14225e0c70c9c88664eb8a 100644
--- a/out/util/yarn.js
+++ b/out/util/yarn.js
@@ -140,6 +140,7 @@ async function rebuild(config, { appDir, projectDir }, options) {
arch,
platform,
buildFromSource,
+ ignoreModules: config.excludeReBuildModules || undefined,
projectRootPath: projectDir,
mode: config.nativeRebuilder || "sequential",
disablePreGypCopy: true,
diff --git a/scheme.json b/scheme.json
index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a74dda74c9 100644
--- a/scheme.json
+++ b/scheme.json
@@ -1825,6 +1825,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableArgs": {
"anyOf": [
{
@@ -1975,6 +1989,13 @@
],
"description": "The mime types in addition to specified in the file associations. Use it if you don't want to register a new mime type, but reuse existing."
},
+ "minimumSystemVersion": {
+ "description": "The minimum os kernel version required to install the application.",
+ "type": [
+ "null",
+ "string"
+ ]
+ },
"packageCategory": {
"description": "backward compatibility + to allow specify fpm-only category for all possible fpm targets in one place",
"type": [
@@ -2327,6 +2348,13 @@
"MacConfiguration": {
"additionalProperties": false,
"properties": {
+ "LSMinimumSystemVersion": {
+ "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
+ "type": [
+ "null",
+ "string"
+ ]
+ },
"additionalArguments": {
"anyOf": [
{
@@ -2527,6 +2555,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -2737,7 +2779,7 @@
"type": "boolean"
},
"minimumSystemVersion": {
- "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
+ "description": "The minimum os kernel version required to install the application.",
"type": [
"null",
"string"
@@ -2959,6 +3001,13 @@
"MasConfiguration": {
"additionalProperties": false,
"properties": {
+ "LSMinimumSystemVersion": {
+ "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
+ "type": [
+ "null",
+ "string"
+ ]
+ },
"additionalArguments": {
"anyOf": [
{
@@ -3159,6 +3208,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -3369,7 +3432,7 @@
"type": "boolean"
},
"minimumSystemVersion": {
- "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
+ "description": "The minimum os kernel version required to install the application.",
"type": [
"null",
"string"
@@ -6381,6 +6444,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -6507,6 +6584,13 @@
"string"
]
},
+ "minimumSystemVersion": {
+ "description": "The minimum os kernel version required to install the application.",
+ "type": [
+ "null",
+ "string"
+ ]
+ },
"protocols": {
"anyOf": [
{
@@ -7153,6 +7237,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -7376,6 +7474,13 @@
],
"description": "MAS (Mac Application Store) development options (`mas-dev` target)."
},
+ "minimumSystemVersion": {
+ "description": "The minimum os kernel version required to install the application.",
+ "type": [
+ "null",
+ "string"
+ ]
+ },
"msi": {
"anyOf": [
{

View File

@@ -1,14 +0,0 @@
diff --git a/out/util.js b/out/util.js
index 9294ffd6ca8f02c2e0f90c663e7e9cdc02c1ac37..f52107493e2995320ee4efd0eb2a8c9bf03291a2 100644
--- a/out/util.js
+++ b/out/util.js
@@ -23,7 +23,8 @@ function newUrlFromBase(pathname, baseUrl, addRandomQueryToAvoidCaching = false)
result.search = search;
}
else if (addRandomQueryToAvoidCaching) {
- result.search = `noCache=${Date.now().toString(32)}`;
+ // use no cache header instead
+ // result.search = `noCache=${Date.now().toString(32)}`;
}
return result;
}

Binary file not shown.

View File

@@ -5,5 +5,3 @@ httpTimeout: 300000
nodeLinker: node-modules
yarnPath: .yarn/releases/yarn-4.9.1.cjs
npmRegistryServer: https://registry.npmjs.org
npmPublishRegistry: https://registry.npmjs.org

View File

@@ -1 +0,0 @@
CLAUDE.md

153
CLAUDE.md
View File

@@ -1,59 +1,120 @@
# AI Assistant Guide
# CLAUDE.md
This file provides guidance to AI coding assistants when working with code in this repository. Adherence to these guidelines is crucial for maintaining code quality and consistency.
## Guiding Principles (MUST FOLLOW)
- **Keep it clear**: Write code that is easy to read, maintain, and explain.
- **Match the house style**: Reuse existing patterns, naming, and conventions.
- **Search smart**: Prefer `ast-grep` for semantic queries; fall back to `rg`/`grep` when needed.
- **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
- **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
- **Always propose before executing**: Before making any changes, clearly explain your planned approach and wait for explicit user approval to ensure alignment and prevent unwanted modifications.
- **Lint, test, and format before completion**: Coding tasks are only complete after running `yarn lint`, `yarn test`, and `yarn format` successfully.
- **Write conventional commits**: Commit small, focused changes using Conventional Commit messages (e.g., `feat:`, `fix:`, `refactor:`, `docs:`).
## Pull Request Workflow (CRITICAL)
When creating a Pull Request, you MUST:
1. **Read the PR template first**: Always read `.github/pull_request_template.md` before creating the PR
2. **Follow ALL template sections**: Structure the `--body` parameter to include every section from the template
3. **Never skip sections**: Include all sections even if marking them as N/A or "None"
4. **Use proper formatting**: Match the template's markdown structure exactly (headings, checkboxes, code blocks)
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Development Commands
- **Install**: `yarn install` - Install all project dependencies
- **Development**: `yarn dev` - Runs Electron app in development mode with hot reload
- **Debug**: `yarn debug` - Starts with debugging enabled, use `chrome://inspect` to attach debugger
- **Build Check**: `yarn build:check` - **REQUIRED** before commits (lint + test + typecheck)
- If having i18n sort issues, run `yarn sync:i18n` first to sync template
- If having formatting issues, run `yarn format` first
- **Test**: `yarn test` - Run all tests (Vitest) across main and renderer processes
- **Single Test**:
- `yarn test:main` - Run tests for main process only
- `yarn test:renderer` - Run tests for renderer process only
- **Lint**: `yarn lint` - Fix linting issues and run TypeScript type checking
- **Format**: `yarn format` - Auto-format code using Biome
### Environment Setup
## Project Architecture
- **Prerequisites**: Node.js v22.x.x or higher, Yarn 4.9.1
- **Setup Yarn**: `corepack enable && corepack prepare yarn@4.9.1 --activate`
- **Install Dependencies**: `yarn install`
### Electron Structure
- **Main Process** (`src/main/`): Node.js backend with services (MCP, Knowledge, Storage, etc.)
- **Renderer Process** (`src/renderer/`): React UI with Redux state management
- **Preload Scripts** (`src/preload/`): Secure IPC bridge
### Development
### Key Components
- **AI Core** (`src/renderer/src/aiCore/`): Middleware pipeline for multiple AI providers.
- **Services** (`src/main/services/`): MCPService, KnowledgeService, WindowService, etc.
- **Build System**: Electron-Vite with experimental rolldown-vite, yarn workspaces.
- **State Management**: Redux Toolkit (`src/renderer/src/store/`) for predictable state.
- **Start Development**: `yarn dev` - Runs Electron app in development mode
- **Debug Mode**: `yarn debug` - Starts with debugging enabled, use chrome://inspect
### Testing & Quality
- **Run Tests**: `yarn test` - Runs all tests (Vitest)
- **Run E2E Tests**: `yarn test:e2e` - Playwright end-to-end tests
- **Type Check**: `yarn typecheck` - Checks TypeScript for both node and web
- **Lint**: `yarn lint` - ESLint with auto-fix
- **Format**: `yarn format` - Prettier formatting
### Build & Release
- **Build**: `yarn build` - Builds for production (includes typecheck)
- **Platform-specific builds**:
- Windows: `yarn build:win`
- macOS: `yarn build:mac`
- Linux: `yarn build:linux`
## Architecture Overview
### Electron Multi-Process Architecture
- **Main Process** (`src/main/`): Node.js backend handling system integration, file operations, and services
- **Renderer Process** (`src/renderer/`): React-based UI running in Chromium
- **Preload Scripts** (`src/preload/`): Secure bridge between main and renderer processes
### Key Architectural Components
#### Main Process Services (`src/main/services/`)
- **MCPService**: Model Context Protocol server management
- **KnowledgeService**: Document processing and knowledge base management
- **FileStorage/S3Storage/WebDav**: Multiple storage backends
- **WindowService**: Multi-window management (main, mini, selection windows)
- **ProxyManager**: Network proxy handling
- **SearchService**: Full-text search capabilities
#### AI Core (`src/renderer/src/aiCore/`)
- **Middleware System**: Composable pipeline for AI request processing
- **Client Factory**: Supports multiple AI providers (OpenAI, Anthropic, Gemini, etc.)
- **Stream Processing**: Real-time response handling
#### State Management (`src/renderer/src/store/`)
- **Redux Toolkit**: Centralized state management
- **Persistent Storage**: Redux-persist for data persistence
- **Thunks**: Async actions for complex operations
#### Knowledge Management
- **Embeddings**: Vector search with multiple providers (OpenAI, Voyage, etc.)
- **OCR**: Document text extraction (system OCR, Doc2x, Mineru)
- **Preprocessing**: Document preparation pipeline
- **Loaders**: Support for various file formats (PDF, DOCX, EPUB, etc.)
### Build System
- **Electron-Vite**: Development and build tooling (v4.0.0)
- **Rolldown-Vite**: Using experimental rolldown-vite instead of standard vite
- **Workspaces**: Monorepo structure with `packages/` directory
- **Multiple Entry Points**: Main app, mini window, selection toolbar
- **Styled Components**: CSS-in-JS styling with SWC optimization
### Testing Strategy
- **Vitest**: Unit and integration testing
- **Playwright**: End-to-end testing
- **Component Testing**: React Testing Library
- **Coverage**: Available via `yarn test:coverage`
### Key Patterns
- **IPC Communication**: Secure main-renderer communication via preload scripts
- **Service Layer**: Clear separation between UI and business logic
- **Plugin Architecture**: Extensible via MCP servers and middleware
- **Multi-language Support**: i18n with dynamic loading
- **Theme System**: Light/dark themes with custom CSS variables
## Logging Standards
### Usage
### Logging
```typescript
// Main process
import { loggerService } from '@logger'
const logger = loggerService.withContext('moduleName')
// Renderer: loggerService.initWindowSource('windowName') first
// Renderer process (set window source first)
loggerService.initWindowSource('windowName')
const logger = loggerService.withContext('moduleName')
// Logging
logger.info('message', CONTEXT)
logger.error('message', new Error('error'), CONTEXT)
```
### Log Levels (highest to lowest)
- `error` - Critical errors causing crash/unusable functionality
- `warn` - Potential issues that don't affect core functionality
- `info` - Application lifecycle and key user actions
- `verbose` - Detailed flow information for feature tracing
- `debug` - Development diagnostic info (not for production)
- `silly` - Extreme debugging, low-level information

View File

@@ -1,4 +1,4 @@
[中文](docs/zh/guides/contributing.md) | [English](CONTRIBUTING.md)
[中文](docs/CONTRIBUTING.zh.md) | [English](CONTRIBUTING.md)
# Cherry Studio Contributor Guide
@@ -32,7 +32,7 @@ To help you get familiar with the codebase, we recommend tackling issues tagged
### Testing
Features without tests are considered non-existent. To ensure code is truly effective, relevant processes should be covered by unit tests and functional tests. Therefore, when considering contributions, please also consider testability. All tests can be run locally without dependency on CI. Please refer to the "Testing" section in the [Developer Guide](docs/zh/guides/development.md).
Features without tests are considered non-existent. To ensure code is truly effective, relevant processes should be covered by unit tests and functional tests. Therefore, when considering contributions, please also consider testability. All tests can be run locally without dependency on CI. Please refer to the "Testing" section in the [Developer Guide](docs/dev.md).
### Automated Testing for Pull Requests
@@ -60,33 +60,12 @@ Maintainers are here to help you implement your use case within a reasonable tim
### Participating in the Test Plan
The Test Plan aims to provide users with a more stable application experience and faster iteration speed. For details, please refer to the [Test Plan](docs/en/guides/test-plan.md).
The Test Plan aims to provide users with a more stable application experience and faster iteration speed. For details, please refer to the [Test Plan](docs/testplan-en.md).
### Other Suggestions
- **Contact Developers**: Before submitting a PR, you can contact the developers first to discuss or get help.
## Important Contribution Guidelines & Focus Areas
Please review the following critical information before submitting your Pull Request:
### Temporary Restriction on Data-Changing Feature PRs 🚫
**Currently, we are NOT accepting feature Pull Requests that introduce changes to our Redux data models or IndexedDB schemas.**
Our core team is currently focused on significant architectural updates that involve these data structures. To ensure stability and focus during this period, contributions of this nature will be temporarily managed internally.
* **PRs that require changes to Redux state shape or IndexedDB schemas will be closed.**
* **This restriction is temporary and will be lifted with the release of `v2.0.0`.** You can track the progress of `v2.0.0` and its related discussions on issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162).
We highly encourage contributions for:
* Bug fixes 🐞
* Performance improvements 🚀
* Documentation updates 📚
* Features that **do not** alter Redux data models or IndexedDB schemas (e.g., UI enhancements, new components, minor refactors). ✨
We appreciate your understanding and continued support during this important development phase. Thank you!
- **Become a Core Developer**: If you contribute to the project consistently, congratulations, you can become a core developer and gain project membership status. Please check our [Membership Guide](https://github.com/CherryHQ/community/blob/main/docs/membership.en.md).
## Contact Us

692
LICENSE
View File

@@ -1,661 +1,87 @@
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
**许可协议 (Licensing)**
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
本项目采用**区分用户的双重许可 (User-Segmented Dual Licensing)** 模式。
Preamble
**核心原则:**
The GNU Affero General Public License is a free, copyleft license for
software and other kinds of works, specifically designed to ensure
cooperation with the community in the case of network server software.
* **个人用户 和 10人及以下企业/组织:** 默认适用 **GNU Affero 通用公共许可证 v3.0 (AGPLv3)**。
* **超过10人的企业/组织:** **必须** 获取 **商业许可证 (Commercial License)**。
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
our General Public Licenses are intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users.
定义“10人及以下”
指在您的组织包括公司、非营利组织、政府机构、教育机构等任何实体能够访问、使用或以任何方式直接或间接受益于本软件Cherry Studio功能的个人总数不超过10人。这包括但不限于开发者、测试人员、运营人员、最终用户、通过集成系统间接使用者等。
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
---
Developers that use our General Public Licenses protect your rights
with two steps: (1) assert copyright on the software, and (2) offer
you this License which gives you legal permission to copy, distribute
and/or modify the software.
**1. 开源许可证 (Open Source License): AGPLv3 - 适用于个人及10人及以下组织**
A secondary benefit of defending all users' freedom is that
improvements made in alternate versions of the program, if they
receive widespread use, become available for other developers to
incorporate. Many developers of free software are heartened and
encouraged by the resulting cooperation. However, in the case of
software used on network servers, this result may fail to come about.
The GNU General Public License permits making a modified version and
letting the public access it on a server without ever releasing its
source code to the public.
* 如果您是个人用户或者您的组织满足上述“10人及以下”的定义您可以在 **AGPLv3** 的条款下自由使用、修改和分发 Cherry Studio。AGPLv3 的完整文本可以访问 [https://www.gnu.org/licenses/agpl-3.0.html](https://www.gnu.org/licenses/agpl-3.0.html) 获取。
* **核心义务:** AGPLv3 的一个关键要求是,如果您修改了 Cherry Studio 并通过网络提供服务,或者分发了修改后的版本,您必须以 AGPLv3 许可证向接收者提供相应的**完整源代码**。即使您符合“10人及以下”的标准如果您希望避免此源代码公开义务您也需要考虑获取商业许可证见下文
* 使用前请务必仔细阅读并理解 AGPLv3 的所有条款。
The GNU Affero General Public License is designed specifically to
ensure that, in such cases, the modified source code becomes available
to the community. It requires the operator of a network server to
provide the source code of the modified version running there to the
users of that server. Therefore, public use of a modified version, on
a publicly accessible server, gives the public access to the source
code of the modified version.
**2. 商业许可证 (Commercial License) - 适用于超过10人的组织或希望规避 AGPLv3 义务的用户**
An older license, called the Affero General Public License and
published by Affero, was designed to accomplish similar goals. This is
a different license, not a version of the Affero GPL, but Affero has
released a new version of the Affero GPL which permits relicensing under
this license.
* **强制要求:** 如果您的组织**不**满足上述“10人及以下”的定义即有11人或更多人可以访问、使用或受益于本软件您**必须**联系我们获取并签署一份商业许可证才能使用 Cherry Studio。
* **自愿选择:** 即使您的组织满足“10人及以下”的条件但如果您的使用场景**无法满足 AGPLv3 的条款要求**(特别是关于**源代码公开**的义务),或者您需要 AGPLv3 **未提供**的特定商业条款(如保证、赔偿、无 Copyleft 限制等),您也**必须**联系我们获取并签署一份商业许可证。
* **需要商业许可证的常见情况包括(但不限于):**
* 您的组织规模超过10人。
* (无论组织规模)您希望分发修改过的 Cherry Studio 版本,但**不希望**根据 AGPLv3 公开您修改部分的源代码。
* (无论组织规模)您希望基于修改过的 Cherry Studio 提供网络服务SaaS但**不希望**根据 AGPLv3 向服务使用者提供修改后的源代码。
* (无论组织规模)您的公司政策、客户合同或项目要求不允许使用 AGPLv3 许可的软件,或要求闭源分发及保密。
* 商业许可证将为您提供豁免 AGPLv3 义务(如源代码公开)的权利,并可能包含额外的商业保障条款。
* **获取商业许可:** 请通过邮箱 **bd@cherry-ai.com** 联系 Cherry Studio 开发团队洽谈商业授权事宜。
The precise terms and conditions for copying, distribution and
modification follow.
**3. 贡献 (Contributions)**
TERMS AND CONDITIONS
* 我们欢迎社区对 Cherry Studio 的贡献。所有向本项目提交的贡献都将被视为在 **AGPLv3** 许可证下提供。
* 通过向本项目提交贡献(例如通过 Pull Request即表示您同意您的代码以 AGPLv3 许可证授权给本项目及所有后续使用者(无论这些使用者最终遵循 AGPLv3 还是商业许可)。
* 您也理解并同意,您的贡献可能会被包含在根据商业许可证分发的 Cherry Studio 版本中。
0. Definitions.
**4. 其他条款 (Other Terms)**
"This License" refers to version 3 of the GNU Affero General Public License.
* 关于商业许可证的具体条款和条件,以双方签署的正式商业许可协议为准。
* 项目维护者保留根据需要更新本许可政策(包括用户规模定义和阈值)的权利。相关更新将通过项目官方渠道(如代码仓库、官方网站)进行通知。
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
---
"The Program" refers to any copyrightable work licensed under this
License. Each licensee is addressed as "you". "Licensees" and
"recipients" may be individuals or organizations.
**Licensing**
To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.
This project employs a **User-Segmented Dual Licensing** model.
A "covered work" means either the unmodified Program or a work based
on the Program.
**Core Principle:**
To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
* **Individual Users and Organizations with 10 or Fewer Individuals:** Governed by default under the **GNU Affero General Public License v3.0 (AGPLv3)**.
* **Organizations with More Than 10 Individuals:** **Must** obtain a **Commercial License**.
To "convey" a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.
Definition: "10 or Fewer Individuals"
Refers to any organization (including companies, non-profits, government agencies, educational institutions, etc.) where the total number of individuals who can access, use, or in any way directly or indirectly benefit from the functionality of this software (Cherry Studio) does not exceed 10. This includes, but is not limited to, developers, testers, operations staff, end-users, and indirect users via integrated systems.
An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible
feature that (1) displays an appropriate copyright notice, and (2)
tells the user that there is no warranty for the work (except to the
extent that warranties are provided), that licensees may convey the
work under this License, and how to view a copy of this License. If
the interface presents a list of user commands or options, such as a
menu, a prominent item in the list meets this criterion.
---
1. Source Code.
**1. Open Source License: AGPLv3 - For Individuals and Organizations of 10 or Fewer**
The "source code" for a work means the preferred form of the work
for making modifications to it. "Object code" means any non-source
form of a work.
* If you are an individual user, or if your organization meets the "10 or Fewer Individuals" definition above, you are free to use, modify, and distribute Cherry Studio under the terms of the **AGPLv3**. The full text of the AGPLv3 can be found in the LICENSE file at [https://www.gnu.org/licenses/agpl-3.0.html](https://www.gnu.org/licenses/agpl-3.0.html).
* **Core Obligation:** A key requirement of the AGPLv3 is that if you modify Cherry Studio and make it available over a network, or distribute the modified version, you must provide the **complete corresponding source code** under the AGPLv3 license to the recipients. Even if you qualify under the "10 or Fewer Individuals" rule, if you wish to avoid this source code disclosure obligation, you will need to obtain a Commercial License (see below).
* Please read and understand the full terms of the AGPLv3 carefully before use.
A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.
**2. Commercial License - For Organizations with More Than 10 Individuals, or Users Needing to Avoid AGPLv3 Obligations**
The "System Libraries" of an executable work include anything, other
than the work as a whole, that (a) is included in the normal form of
packaging a Major Component, but which is not part of that Major
Component, and (b) serves only to enable use of the work with that
Major Component, or to implement a Standard Interface for which an
implementation is available to the public in source code form. A
"Major Component", in this context, means a major essential component
(kernel, window system, and so on) of the specific operating system
(if any) on which the executable work runs, or a compiler used to
produce the work, or an object code interpreter used to run it.
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* **Obtaining a Commercial License:** Please contact the Cherry Studio development team via email at **bd@cherry-ai.com** to discuss commercial licensing options.
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* You also understand and agree that your contribution may be included in distributions of Cherry Studio offered under our commercial license.
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A "contributor" is a copyright holder who authorizes use under this
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In the following three paragraphs, a "patent license" is any express
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and the Corresponding Source of the work is not available for anyone
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or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
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to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the
Program, your modified version must prominently offer all users
interacting with it remotely through a computer network (if your version
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Source of your version by providing access to the Corresponding Source
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of the GNU General Public License that is incorporated pursuant to the
following paragraph.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU General Public License into a single
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License will continue to apply to the part which is the covered work,
but the work with which it is combined will remain governed by version
3 of the GNU General Public License.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU Affero General Public License from time to time. Such new versions
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Each version is given a distinguishing version number. If the
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If the Program specifies that a proxy can decide which future
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THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
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HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
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ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
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WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
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GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
* The specific terms and conditions of the Commercial License are governed by the formal commercial license agreement signed by both parties.
* The project maintainers reserve the right to update this licensing policy (including the definition and threshold for user count) as needed. Updates will be communicated through official project channels (e.g., code repository, official website).

View File

@@ -34,10 +34,10 @@
</a>
</h1>
<p align="center">English | <a href="./docs/zh/README.md">中文</a> | <a href="https://cherry-ai.com">Official Site</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/en-us">Documents</a> | <a href="./docs/en/guides/development.md">Development</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">Feedback</a><br></p>
<p align="center">English | <a href="./docs/README.zh.md">中文</a> | <a href="https://cherry-ai.com">Official Site</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/en-us">Documents</a> | <a href="./docs/dev.md">Development</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">Feedback</a><br></p>
<div align="center">
[![][deepwiki-shield]][deepwiki-link]
[![][twitter-shield]][twitter-link]
[![][discord-shield]][discord-link]
@@ -45,7 +45,7 @@
</div>
<div align="center">
[![][github-release-shield]][github-release-link]
[![][github-nightly-shield]][github-nightly-link]
[![][github-contributors-shield]][github-contributors-link]
@@ -67,7 +67,7 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
👏 Join [Telegram Group](https://t.me/CherryStudioAI)[Discord](https://discord.gg/wez8HtpxqQ) | [QQ Group(575014769)](https://qm.qq.com/q/lo0D4qVZKi)
❤️ Like Cherry Studio? Give it a star 🌟 or [Sponsor](docs/zh/guides/sponsor.md) to support the development!
❤️ Like Cherry Studio? Give it a star 🌟 or [Sponsor](docs/sponsor.md) to support the development!
# 🌠 Screenshot
@@ -82,7 +82,7 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
1. **Diverse LLM Provider Support**:
- ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
- 🔗 AI Web Service Integration: Claude, Perplexity, [Poe](https://poe.com/), and others
- 🔗 AI Web Service Integration: Claude, Peplexity, Poe, and others
- 💻 Local Model Support with Ollama, LM Studio
2. **AI Assistants & Conversations**:
@@ -141,7 +141,6 @@ We're actively working on the following features and improvements:
- iOS App (Phase 1)
- Multi-Window support
- Window Pinning functionality
- Intel AI PC (Core Ultra) Support
4. 🔌 **Advanced Features**
@@ -175,7 +174,7 @@ We welcome contributions to Cherry Studio! Here are some ways you can contribute
6. **Community Engagement**: Join discussions and help users.
7. **Promote Usage**: Spread the word about Cherry Studio.
Refer to the [Branching Strategy](docs/en/guides/branching-strategy.md) for contribution guidelines
Refer to the [Branching Strategy](docs/branching-strategy-en.md) for contribution guidelines
## Getting Started
@@ -238,16 +237,20 @@ The Enterprise Edition addresses core challenges in team collaboration by centra
## ✨ Online Demo
> 🚧 **Public Beta Notice**
>
> The Enterprise Edition is currently in its early public beta stage, and we are actively iterating and optimizing its features. We are aware that it may not be perfectly stable yet. If you encounter any issues or have valuable suggestions during your trial, we would be very grateful if you could contact us via email to provide feedback.
**🔗 [Cherry Studio Enterprise](https://www.cherry-ai.com/enterprise)**
## Version Comparison
| Feature | Community Edition | Enterprise Edition |
| :---------------- | :----------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
| **Open Source** | ✅ Yes | ⭕️ Partially released to customers |
| **Cost** | [AGPL-3.0 License](https://github.com/CherryHQ/cherry-studio?tab=AGPL-3.0-1-ov-file) | Buyout / Subscription Fee |
| **Open Source** | ✅ Yes | ⭕️ Partially released to customers |
| **Cost** | Free for Personal Use / Commercial License | Buyout / Subscription Fee |
| **Admin Backend** | — | ● Centralized **Model** Access<br>**Employee** Management<br>● Shared **Knowledge Base**<br>**Access** Control<br>**Data** Backup |
| **Server** | — | ✅ Dedicated Private Deployment |
| **Server** | — | ✅ Dedicated Private Deployment |
## Get the Enterprise Edition
@@ -258,12 +261,8 @@ We believe the Enterprise Edition will become your team's AI productivity engine
# 🔗 Related Projects
- [new-api](https://github.com/QuantumNous/new-api): The next-generation LLM gateway and AI asset management system supports multiple languages.
- [one-api](https://github.com/songquanpeng/one-api): LLM API management and distribution system supporting mainstream models like OpenAI, Azure, and Anthropic. Features a unified API interface, suitable for key management and secondary distribution.
- [Poe](https://poe.com/): Poe gives you access to the best AI, all in one place. Explore GPT-5, Claude Opus 4.1, DeepSeek-R1, Veo 3, ElevenLabs, and millions of others.
- [ublacklist](https://github.com/iorate/ublacklist): Blocks specific sites from appearing in Google search results
# 🚀 Contributors
@@ -287,14 +286,6 @@ We believe the Enterprise Edition will become your team's AI productivity engine
</picture>
</a>
# 📜 License
The Cherry Studio Community Edition is governed by the standard GNU Affero General Public License v3.0 (AGPL-3.0), available at https://www.gnu.org/licenses/agpl-3.0.html.
Use of the Cherry Studio Community Edition for commercial purposes is permitted, subject to full compliance with the terms and conditions of the AGPL-3.0 license.
Should you require a commercial license that provides an exemption from the AGPL-3.0 requirements, please contact us at bd@cherry-ai.com.
<!-- Links & Images -->
[deepwiki-shield]: https://img.shields.io/badge/Deepwiki-CherryHQ-0088CC?logo=data:image/svg+xml;base64,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"description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
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View File

@@ -1,101 +0,0 @@
{
"$schema": "https://biomejs.dev/schemas/2.2.4/schema.json",
"assist": {
// to sort json
"actions": {
"source": {
"organizeImports": "on",
"useSortedKeys": {
"level": "on",
"options": {
"sortOrder": "lexicographic"
}
}
}
},
"enabled": true,
"includes": ["**/*.json", "!*.json", "!**/package.json", "!coverage/**"]
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"css": {
"formatter": {
"quoteStyle": "single"
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"files": {
"ignoreUnknown": false,
"includes": ["**", "!**/.claude/**", "!**/.vscode/**"],
"maxSize": 2097152
},
"formatter": {
"attributePosition": "auto",
"bracketSameLine": false,
"bracketSpacing": true,
"enabled": true,
"expand": "auto",
"formatWithErrors": true,
"includes": [
"**",
"!out/**",
"!**/dist/**",
"!build/**",
"!.yarn/**",
"!.github/**",
"!.husky/**",
"!.vscode/**",
"!*.yaml",
"!*.yml",
"!*.mjs",
"!*.cjs",
"!*.md",
"!*.json",
"!src/main/integration/**",
"!**/tailwind.css",
"!**/package.json"
],
"indentStyle": "space",
"indentWidth": 2,
"lineEnding": "lf",
"lineWidth": 120,
"useEditorconfig": true
},
"html": { "formatter": { "selfCloseVoidElements": "always" } },
"javascript": {
"formatter": {
"arrowParentheses": "always",
"attributePosition": "auto",
// To minimize changes in this PR as much as possible, it's set to true. However, setting it to false would make it more convenient to add attributes at the end.
"bracketSameLine": true,
"bracketSpacing": true,
"jsxQuoteStyle": "double",
"quoteProperties": "asNeeded",
"quoteStyle": "single",
"semicolons": "asNeeded",
"trailingCommas": "none"
}
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"json": {
"parser": {
"allowComments": true
}
},
"linter": {
"enabled": true,
"includes": ["!**/tailwind.css", "src/renderer/**/*.{tsx,ts}"],
// only enable sorted tailwind css rule. used as formatter instead of linter
"rules": {
"nursery": {
// to sort tailwind css classes
"useSortedClasses": {
"fix": "safe",
"level": "warn",
"options": {
"functions": ["cn"]
}
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"recommended": false,
"suspicious": "off"
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"description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
"channelTemplates": {
"latest": {
"feedTemplates": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
"gitcode": "https://releases.cherry-ai.com"
}
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"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
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}
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"beta": {
"feedTemplates": {
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"gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
}
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},
{
"id": "gateway-v2",
"type": "breaking",
"match": {
"exact": ["2.0.0"]
},
"lockedVersion": "2.0.0",
"minCompatibleVersion": "1.7.0",
"description": "Major release v2.0 - required intermediate version for v2.x upgrades",
"channelTemplates": {
"latest": {
"feedTemplates": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
}
}
}
},
{
"id": "current-v2",
"type": "latest",
"match": {
"range": ">=2.0.0 <3.0.0",
"excludeExact": ["2.0.0"]
},
"minCompatibleVersion": "2.0.0",
"description": "Current latest v2.x release",
"channelTemplates": {
"latest": {
"feedTemplates": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
}
},
"rc": {
"feedTemplates": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
}
},
"beta": {
"feedTemplates": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
}
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}

View File

@@ -1,6 +1,6 @@
# Cherry Studio 贡献者指南
[**English**](../../../CONTRIBUTING.md) | **中文**
[**English**](../CONTRIBUTING.md) | [**中文**](CONTRIBUTING.zh.md)
欢迎来到 Cherry Studio 的贡献者社区!我们致力于将 Cherry Studio 打造成一个长期提供价值的项目,并希望邀请更多的开发者加入我们的行列。无论您是经验丰富的开发者还是刚刚起步的初学者,您的贡献都将帮助我们更好地服务用户,提升软件质量。
@@ -24,7 +24,7 @@
## 开始之前
请确保阅读了[行为准则](../../../CODE_OF_CONDUCT.md)和[LICENSE](../../../LICENSE)。
请确保阅读了[行为准则](../CODE_OF_CONDUCT.md)和[LICENSE](../LICENSE)。
## 开始贡献
@@ -32,7 +32,7 @@
### 测试
未经测试的功能等同于不存在。为确保代码真正有效,应通过单元测试和功能测试覆盖相关流程。因此,在考虑贡献时,也请考虑可测试性。所有测试均可本地运行,无需依赖 CI。请参阅[开发者指南](./development.md#test)中的"Test"部分。
未经测试的功能等同于不存在。为确保代码真正有效,应通过单元测试和功能测试覆盖相关流程。因此,在考虑贡献时,也请考虑可测试性。所有测试均可本地运行,无需依赖 CI。请参阅[开发者指南](dev.md#test)中的Test部分。
### 拉取请求的自动化测试
@@ -60,37 +60,16 @@ git commit --signoff -m "Your commit message"
### 获取代码审查/合并
维护者在此帮助您在合理时间内实现您的用例。他们会尽力在合理时间内审查您的代码并提供建设性反馈。但如果您在审查过程中受阻,或认为您的 Pull Request 未得到应有的关注,请通过 Issue 中的评论或者[社群](../README.md#-community)联系我们
维护者在此帮助您在合理时间内实现您的用例。他们会尽力在合理时间内审查您的代码并提供建设性反馈。但如果您在审查过程中受阻,或认为您的 Pull Request 未得到应有的关注,请通过 Issue 中的评论或者[社群](README.zh.md#-community)联系我们
### 参与测试计划
测试计划旨在为用户提供更稳定的应用体验和更快的迭代速度,详细情况请参阅[测试计划](./test-plan.md)。
测试计划旨在为用户提供更稳定的应用体验和更快的迭代速度,详细情况请参阅[测试计划](testplan-zh.md)。
### 其他建议
- **联系开发者**:在提交 PR 之前,您可以先和开发者进行联系,共同探讨或者获取帮助。
## 重要贡献指南与关注点
在提交 Pull Request 之前,请务必阅读以下关键信息:
### 🚫 暂时限制涉及数据更改的功能性 PR
**目前,我们不接受涉及 Redux 数据模型或 IndexedDB schema 变更的功能性 Pull Request。**
我们的核心团队目前正专注于涉及这些数据结构的关键架构更新和基础工作。为确保在此期间的稳定性与专注,此类贡献将暂时由内部进行管理。
* **需要更改 Redux 状态结构或 IndexedDB schema 的 PR 将会被关闭。**
* **此限制是临时性的,并将在 `v2.0.0` 版本发布后解除。** 您可以通过 Issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162) 跟踪 `v2.0.0` 的进展及相关讨论。
我们非常鼓励以下类型的贡献:
* 错误修复 🐞
* 性能改进 🚀
* 文档更新 📚
* 不改变 Redux 数据模型或 IndexedDB schema 的功能例如UI 增强、新组件、小型重构)。✨
感谢您在此重要开发阶段的理解与持续支持。谢谢!
- **成为核心开发者**:如果您能够稳定为项目贡献,恭喜您可以成为项目核心开发者,获取到项目成员身份。请查看我们的[成员指南](https://github.com/CherryHQ/community/blob/main/membership.md)
## 联系我们

View File

@@ -1,81 +0,0 @@
# Cherry Studio Documentation / 文档
This directory contains the project documentation in multiple languages.
本目录包含多语言项目文档。
---
## Languages / 语言
- **[中文文档](./zh/README.md)** - Chinese Documentation
- **English Documentation** - See sections below
---
## English Documentation
### Guides
| Document | Description |
|----------|-------------|
| [Development Setup](./en/guides/development.md) | Development environment setup |
| [Branching Strategy](./en/guides/branching-strategy.md) | Git branching workflow |
| [i18n Guide](./en/guides/i18n.md) | Internationalization guide |
| [Logging Guide](./en/guides/logging.md) | How to use the logger service |
| [Test Plan](./en/guides/test-plan.md) | Test plan and release channels |
### References
| Document | Description |
|----------|-------------|
| [App Upgrade Config](./en/references/app-upgrade.md) | Application upgrade configuration |
| [CodeBlockView Component](./en/references/components/code-block-view.md) | Code block view component |
| [Image Preview Components](./en/references/components/image-preview.md) | Image preview components |
---
## 中文文档
### 指南 (Guides)
| 文档 | 说明 |
|------|------|
| [开发环境设置](./zh/guides/development.md) | 开发环境配置 |
| [贡献指南](./zh/guides/contributing.md) | 如何贡献代码 |
| [分支策略](./zh/guides/branching-strategy.md) | Git 分支工作流 |
| [测试计划](./zh/guides/test-plan.md) | 测试计划和发布通道 |
| [国际化指南](./zh/guides/i18n.md) | 国际化开发指南 |
| [日志使用指南](./zh/guides/logging.md) | 如何使用日志服务 |
| [中间件开发](./zh/guides/middleware.md) | 如何编写中间件 |
| [记忆功能](./zh/guides/memory.md) | 记忆功能使用指南 |
| [赞助信息](./zh/guides/sponsor.md) | 赞助相关信息 |
### 参考 (References)
| 文档 | 说明 |
|------|------|
| [消息系统](./zh/references/message-system.md) | 消息系统架构和 API |
| [数据库结构](./zh/references/database.md) | 数据库表结构 |
| [服务](./zh/references/services.md) | 服务层文档 (KnowledgeService) |
| [代码执行](./zh/references/code-execution.md) | 代码执行功能 |
| [应用升级配置](./zh/references/app-upgrade.md) | 应用升级配置 |
| [CodeBlockView 组件](./zh/references/components/code-block-view.md) | 代码块视图组件 |
| [图像预览组件](./zh/references/components/image-preview.md) | 图像预览组件 |
---
## Missing Translations / 缺少翻译
The following documents are only available in Chinese and need English translations:
以下文档仅有中文版本,需要英文翻译:
- `guides/contributing.md`
- `guides/memory.md`
- `guides/middleware.md`
- `guides/sponsor.md`
- `references/message-system.md`
- `references/database.md`
- `references/services.md`
- `references/code-execution.md`

View File

@@ -13,7 +13,7 @@
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fr">Français</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=de">Deutsch</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=es">Español</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Italiano</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Itapano</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ru">Русский</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pt">Português</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=nl">Nederlands</a></p>
@@ -34,7 +34,7 @@
</a>
</h1>
<p align="center">
<a href="https://github.com/CherryHQ/cherry-studio">English</a> | 中文 | <a href="https://cherry-ai.com">官方网站</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/zh-cn">文档</a> | <a href="./guides/development.md">开发</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">反馈</a><br>
<a href="https://github.com/CherryHQ/cherry-studio">English</a> | 中文 | <a href="https://cherry-ai.com">官方网站</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/zh-cn">文档</a> | <a href="./dev.md">开发</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">反馈</a><br>
</p>
<!-- 题头徽章组合 -->
@@ -70,7 +70,7 @@ Cherry Studio 是一款支持多个大语言模型LLM服务商的桌面客
👏 欢迎加入 [Telegram 群组](https://t.me/CherryStudioAI)[Discord](https://discord.gg/wez8HtpxqQ) | [QQ群(575014769)](https://qm.qq.com/q/lo0D4qVZKi)
❤️ 喜欢 Cherry Studio? 点亮小星星 🌟 或 [赞助开发者](./guides/sponsor.md)! ❤️
❤️ 喜欢 Cherry Studio? 点亮小星星 🌟 或 [赞助开发者](sponsor.md)! ❤️
# 📖 使用教程
@@ -89,7 +89,7 @@ https://docs.cherry-ai.com
1. **多样化 LLM 服务支持**
- ☁️ 支持主流 LLM 云服务OpenAI、Gemini、Anthropic、硅基流动等
- 🔗 集成流行 AI Web 服务Claude、Perplexity、Poe、腾讯元宝、知乎直答等
- 🔗 集成流行 AI Web 服务Claude、Peplexity、Poe、腾讯元宝、知乎直答等
- 💻 支持 Ollama、LM Studio 本地模型部署
2. **智能助手与对话**
@@ -181,7 +181,7 @@ https://docs.cherry-ai.com
6. **社区参与**:加入讨论并帮助用户
7. **推广使用**:宣传 Cherry Studio
参考[分支策略](./guides/branching-strategy.md)了解贡献指南
参考[分支策略](branching-strategy-zh.md)了解贡献指南
## 入门
@@ -190,7 +190,7 @@ https://docs.cherry-ai.com
3. **提交更改**:提交并推送您的更改
4. **打开 Pull Request**:描述您的更改和原因
有关更详细的指南,请参阅我们的 [贡献指南](./guides/contributing.md)
有关更详细的指南,请参阅我们的 [贡献指南](CONTRIBUTING.zh.md)
感谢您的支持和贡献!

View File

@@ -16,7 +16,7 @@ Cherry Studio implements a structured branching strategy to maintain code qualit
- Only accepts documentation updates and bug fixes
- Thoroughly tested before production deployment
For details about the `testplan` branch used in the Test Plan, please refer to the [Test Plan](./test-plan.md).
For details about the `testplan` branch used in the Test Plan, please refer to the [Test Plan](testplan-en.md).
## Contributing Branches

View File

@@ -16,7 +16,7 @@ Cherry Studio 采用结构化的分支策略来维护代码质量并简化开发
- 只接受文档更新和 bug 修复
- 经过完整测试后可以发布到生产环境
关于测试计划所使用的`testplan`分支,请查阅[测试计划](./test-plan.md)。
关于测试计划所使用的`testplan`分支,请查阅[测试计划](testplan-zh.md)。
## 贡献分支

View File

@@ -2,9 +2,7 @@
## IDE Setup
- Editor: [Cursor](https://www.cursor.com/), etc. Any VS Code compatible editor.
- Linter: [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
- Formatter: [Biome](https://marketplace.visualstudio.com/items?itemName=biomejs.biome)
[Cursor](https://www.cursor.com/) + [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint) + [Prettier](https://marketplace.visualstudio.com/items?itemName=esbenp.prettier-vscode)
## Project Setup
@@ -18,13 +16,13 @@ yarn
### Setup Node.js
Download and install [Node.js v22.x.x](https://nodejs.org/en/download)
Download and install [Node.js v20.x.x](https://nodejs.org/en/download)
### Setup Yarn
```bash
corepack enable
corepack prepare yarn@4.9.1 --activate
corepack prepare yarn@4.6.0 --activate
```
### Install Dependencies

View File

@@ -1,430 +0,0 @@
# Update Configuration System Design Document
## Background
Currently, AppUpdater directly queries the GitHub API to retrieve beta and rc update information. To support users in China, we need to fetch a static JSON configuration file from GitHub/GitCode based on IP geolocation, which contains update URLs for all channels.
## Design Goals
1. Support different configuration sources based on IP geolocation (GitHub/GitCode)
2. Support version compatibility control (e.g., users below v1.x must upgrade to v1.7.0 before upgrading to v2.0)
3. Easy to extend, supporting future multi-major-version upgrade paths (v1.6 → v1.7 → v2.0 → v2.8 → v3.0)
4. Maintain compatibility with existing electron-updater mechanism
## Current Version Strategy
- **v1.7.x** is the last version of the 1.x series
- Users **below v1.7.0** must first upgrade to v1.7.0 (or higher 1.7.x version)
- Users **v1.7.0 and above** can directly upgrade to v2.x.x
## Automation Workflow
The `x-files/app-upgrade-config/app-upgrade-config.json` file is synchronized by the [`Update App Upgrade Config`](../../.github/workflows/update-app-upgrade-config.yml) workflow. The workflow runs the [`scripts/update-app-upgrade-config.ts`](../../scripts/update-app-upgrade-config.ts) helper so that every release tag automatically updates the JSON in `x-files/app-upgrade-config`.
### Trigger Conditions
- **Release events (`release: released/prereleased`)**
- Draft releases are ignored.
- When GitHub marks the release as _prerelease_, the tag must include `-beta`/`-rc` (with optional numeric suffix). Otherwise the workflow exits early.
- When GitHub marks the release as stable, the tag must match the latest release returned by the GitHub API. This prevents out-of-order updates when publishing historical tags.
- If the guard clauses pass, the version is tagged as `latest` or `beta/rc` based on its semantic suffix and propagated to the script through the `IS_PRERELEASE` flag.
- **Manual dispatch (`workflow_dispatch`)**
- Required input: `tag` (e.g., `v2.0.1`). Optional input: `is_prerelease` (defaults to `false`).
- When `is_prerelease=true`, the tag must carry a beta/rc suffix, mirroring the automatic validation.
- Manual runs still download the latest release metadata so that the workflow knows whether the tag represents the newest stable version (for documentation inside the PR body).
### Workflow Steps
1. **Guard + metadata preparation** the `Check if should proceed` and `Prepare metadata` steps compute the target tag, prerelease flag, whether the tag is the newest release, and a `safe_tag` slug used for branch names. When any rule fails, the workflow stops without touching the config.
2. **Checkout source branches** the default branch is checked out into `main/`, while the long-lived `x-files/app-upgrade-config` branch lives in `cs/`. All modifications happen in the latter directory.
3. **Install toolchain** Node.js 22, Corepack, and frozen Yarn dependencies are installed inside `main/`.
4. **Run the update script** `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json --is-prerelease <flag>` updates the JSON in-place.
- The script normalizes the tag (e.g., strips `v` prefix), detects the release channel (`latest`, `rc`, `beta`), and loads segment rules from `config/app-upgrade-segments.json`.
- It validates that prerelease flags and semantic suffixes agree, enforces locked segments, builds mirror feed URLs, and performs release-availability checks (GitHub HEAD request for every channel; GitCode GET for latest channels, falling back to `https://releases.cherry-ai.com` when gitcode is delayed).
- After updating the relevant channel entry, the script rewrites the config with semver-sort order and a new `lastUpdated` timestamp.
5. **Detect changes + create PR** if `cs/app-upgrade-config.json` changed, the workflow opens a PR `chore/update-app-upgrade-config/<safe_tag>` against `x-files/app-upgrade-config` with a commit message `🤖 chore: sync app-upgrade-config for <tag>`. Otherwise it logs that no update is required.
### Manual Trigger Guide
1. Open the Cherry Studio repository on GitHub → **Actions** tab → select **Update App Upgrade Config**.
2. Click **Run workflow**, choose the default branch (usually `main`), and fill in the `tag` input (e.g., `v2.1.0`).
3. Toggle `is_prerelease` only when the tag carries a prerelease suffix (`-beta`, `-rc`). Leave it unchecked for stable releases.
4. Start the run and wait for it to finish. Check the generated PR in the `x-files/app-upgrade-config` branch, verify the diff in `app-upgrade-config.json`, and merge once validated.
## JSON Configuration File Format
### File Location
- **GitHub**: `https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json`
- **GitCode**: `https://gitcode.com/CherryHQ/cherry-studio/raw/x-files/app-upgrade-config/app-upgrade-config.json`
**Note**: Both mirrors provide the same configuration file hosted on the `x-files/app-upgrade-config` branch. The client automatically selects the optimal mirror based on IP geolocation.
### Configuration Structure (Current Implementation)
```json
{
"lastUpdated": "2025-01-05T00:00:00Z",
"versions": {
"1.6.7": {
"minCompatibleVersion": "1.0.0",
"description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
"channels": {
"latest": {
"version": "1.6.7",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.7",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v1.6.7"
}
},
"rc": {
"version": "1.6.0-rc.5",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5",
"gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5"
}
},
"beta": {
"version": "1.6.7-beta.3",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3",
"gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3"
}
}
}
},
"2.0.0": {
"minCompatibleVersion": "1.7.0",
"description": "Major release v2.0 - required intermediate version for v2.x upgrades",
"channels": {
"latest": null,
"rc": null,
"beta": null
}
}
}
}
```
### Future Extension Example
When releasing v3.0, if users need to first upgrade to v2.8, you can add:
```json
{
"2.8.0": {
"minCompatibleVersion": "2.0.0",
"description": "Stable v2.8 - required for v3 upgrade",
"channels": {
"latest": {
"version": "2.8.0",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v2.8.0",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v2.8.0"
}
},
"rc": null,
"beta": null
}
},
"3.0.0": {
"minCompatibleVersion": "2.8.0",
"description": "Major release v3.0",
"channels": {
"latest": {
"version": "3.0.0",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/latest",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/latest"
}
},
"rc": {
"version": "3.0.0-rc.1",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1"
}
},
"beta": null
}
}
}
```
### Field Descriptions
- `lastUpdated`: Last update time of the configuration file (ISO 8601 format)
- `versions`: Version configuration object, key is the version number, sorted by semantic versioning
- `minCompatibleVersion`: Minimum compatible version that can upgrade to this version
- `description`: Version description
- `channels`: Update channel configuration
- `latest`: Stable release channel
- `rc`: Release Candidate channel
- `beta`: Beta testing channel
- Each channel contains:
- `version`: Version number for this channel
- `feedUrls`: Multi-mirror URL configuration
- `github`: electron-updater feed URL for GitHub mirror
- `gitcode`: electron-updater feed URL for GitCode mirror
- `metadata`: Stable mapping info for automation
- `segmentId`: ID from `config/app-upgrade-segments.json`
- `segmentType`: Optional flag (`legacy` | `breaking` | `latest`) for documentation/debugging
## TypeScript Type Definitions
```typescript
// Mirror enum
enum UpdateMirror {
GITHUB = 'github',
GITCODE = 'gitcode'
}
interface UpdateConfig {
lastUpdated: string
versions: {
[versionKey: string]: VersionConfig
}
}
interface VersionConfig {
minCompatibleVersion: string
description: string
channels: {
latest: ChannelConfig | null
rc: ChannelConfig | null
beta: ChannelConfig | null
}
metadata?: {
segmentId: string
segmentType?: 'legacy' | 'breaking' | 'latest'
}
}
interface ChannelConfig {
version: string
feedUrls: Record<UpdateMirror, string>
// Equivalent to:
// feedUrls: {
// github: string
// gitcode: string
// }
}
```
## Segment Metadata & Breaking Markers
- **Segment definitions** now live in `config/app-upgrade-segments.json`. Each segment describes a semantic-version range (or exact matches) plus metadata such as `segmentId`, `segmentType`, `minCompatibleVersion`, and per-channel feed URL templates.
- Each entry under `versions` carries a `metadata.segmentId`. This acts as the stable key that scripts use to decide which slot to update, even if the actual semantic version string changes.
- Mark major upgrade gateways (e.g., `2.0.0`) by giving the related segment a `segmentType: "breaking"` and (optionally) `lockedVersion`. This prevents automation from accidentally moving that entry when other 2.x builds ship.
- Adding another breaking hop (e.g., `3.0.0`) only requires defining a new segment in the JSON file; the automation will pick it up on the next run.
## Automation Workflow
Starting from this change, `.github/workflows/update-app-upgrade-config.yml` listens to GitHub release events (published + prerelease). The workflow:
1. Checks out the default branch (for scripts) and the `x-files/app-upgrade-config` branch (where the config is hosted).
2. Runs `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json` to regenerate the config directly inside the `x-files/app-upgrade-config` working tree.
3. If the file changed, it opens a PR against `x-files/app-upgrade-config` via `peter-evans/create-pull-request`, with the generated diff limited to `app-upgrade-config.json`.
You can run the same script locally via `yarn update:upgrade-config --tag v2.1.6 --config ../cs/app-upgrade-config.json` (add `--dry-run` to preview) to reproduce or debug whatever the workflow does. Passing `--skip-release-checks` along with `--dry-run` lets you bypass the release-page existence check (useful when the GitHub/GitCode pages arent published yet). Running without `--config` continues to update the copy in your current working directory (main branch) for documentation purposes.
## Version Matching Logic
### Algorithm Flow
1. Get user's current version (`currentVersion`) and requested channel (`requestedChannel`)
2. Get all version numbers from configuration file, sort in descending order by semantic versioning
3. Iterate through the sorted version list:
- Check if `currentVersion >= minCompatibleVersion`
- Check if the requested `channel` exists and is not `null`
- If conditions are met, return the channel configuration
4. If no matching version is found, return `null`
### Pseudocode Implementation
```typescript
function findCompatibleVersion(
currentVersion: string,
requestedChannel: UpgradeChannel,
config: UpdateConfig
): ChannelConfig | null {
// Get all version numbers and sort in descending order
const versions = Object.keys(config.versions).sort(semver.rcompare)
for (const versionKey of versions) {
const versionConfig = config.versions[versionKey]
const channelConfig = versionConfig.channels[requestedChannel]
// Check version compatibility and channel availability
if (
semver.gte(currentVersion, versionConfig.minCompatibleVersion) &&
channelConfig !== null
) {
return channelConfig
}
}
return null // No compatible version found
}
```
## Upgrade Path Examples
### Scenario 1: v1.6.5 User Upgrade (Below 1.7)
- **Current Version**: 1.6.5
- **Requested Channel**: latest
- **Match Result**: 1.7.0
- **Reason**: 1.6.5 >= 0.0.0 (satisfies 1.7.0's minCompatibleVersion), but doesn't satisfy 2.0.0's minCompatibleVersion (1.7.0)
- **Action**: Prompt user to upgrade to 1.7.0, which is the required intermediate version for v2.x upgrade
### Scenario 2: v1.6.5 User Requests rc/beta
- **Current Version**: 1.6.5
- **Requested Channel**: rc or beta
- **Match Result**: 1.7.0 (latest)
- **Reason**: 1.7.0 version doesn't provide rc/beta channels (values are null)
- **Action**: Upgrade to 1.7.0 stable version
### Scenario 3: v1.7.0 User Upgrades to Latest
- **Current Version**: 1.7.0
- **Requested Channel**: latest
- **Match Result**: 2.0.0
- **Reason**: 1.7.0 >= 1.7.0 (satisfies 2.0.0's minCompatibleVersion)
- **Action**: Directly upgrade to 2.0.0 (current latest stable version)
### Scenario 4: v1.7.2 User Upgrades to RC Version
- **Current Version**: 1.7.2
- **Requested Channel**: rc
- **Match Result**: 2.0.0-rc.1
- **Reason**: 1.7.2 >= 1.7.0 (satisfies 2.0.0's minCompatibleVersion), and rc channel exists
- **Action**: Upgrade to 2.0.0-rc.1
### Scenario 5: v1.7.0 User Upgrades to Beta Version
- **Current Version**: 1.7.0
- **Requested Channel**: beta
- **Match Result**: 2.0.0-beta.1
- **Reason**: 1.7.0 >= 1.7.0, and beta channel exists
- **Action**: Upgrade to 2.0.0-beta.1
### Scenario 6: v2.5.0 User Upgrade (Future)
Assuming v2.8.0 and v3.0.0 configurations have been added:
- **Current Version**: 2.5.0
- **Requested Channel**: latest
- **Match Result**: 2.8.0
- **Reason**: 2.5.0 >= 2.0.0 (satisfies 2.8.0's minCompatibleVersion), but doesn't satisfy 3.0.0's requirement
- **Action**: Prompt user to upgrade to 2.8.0, which is the required intermediate version for v3.x upgrade
## Code Changes
### Main Modifications
1. **New Methods**
- `_fetchUpdateConfig(ipCountry: string): Promise<UpdateConfig | null>` - Fetch configuration file based on IP
- `_findCompatibleChannel(currentVersion: string, channel: UpgradeChannel, config: UpdateConfig): ChannelConfig | null` - Find compatible channel configuration
2. **Modified Methods**
- `_getReleaseVersionFromGithub()` → Remove or refactor to `_getChannelFeedUrl()`
- `_setFeedUrl()` - Use new configuration system to replace existing logic
3. **New Type Definitions**
- `UpdateConfig`
- `VersionConfig`
- `ChannelConfig`
### Mirror Selection Logic
The client automatically selects the optimal mirror based on IP geolocation:
```typescript
private async _setFeedUrl() {
const currentVersion = app.getVersion()
const testPlan = configManager.getTestPlan()
const requestedChannel = testPlan ? this._getTestChannel() : UpgradeChannel.LATEST
// Determine mirror based on IP country
const ipCountry = await getIpCountry()
const mirror = ipCountry.toLowerCase() === 'cn' ? 'gitcode' : 'github'
// Fetch update config
const config = await this._fetchUpdateConfig(mirror)
if (config) {
const channelConfig = this._findCompatibleChannel(currentVersion, requestedChannel, config)
if (channelConfig) {
// Select feed URL from the corresponding mirror
const feedUrl = channelConfig.feedUrls[mirror]
this._setChannel(requestedChannel, feedUrl)
return
}
}
// Fallback logic
const defaultFeedUrl = mirror === 'gitcode'
? FeedUrl.PRODUCTION
: FeedUrl.GITHUB_LATEST
this._setChannel(UpgradeChannel.LATEST, defaultFeedUrl)
}
private async _fetchUpdateConfig(mirror: 'github' | 'gitcode'): Promise<UpdateConfig | null> {
const configUrl = mirror === 'gitcode'
? UpdateConfigUrl.GITCODE
: UpdateConfigUrl.GITHUB
try {
const response = await net.fetch(configUrl, {
headers: {
'User-Agent': generateUserAgent(),
'Accept': 'application/json',
'X-Client-Id': configManager.getClientId()
}
})
return await response.json() as UpdateConfig
} catch (error) {
logger.error('Failed to fetch update config:', error)
return null
}
}
```
## Fallback and Error Handling Strategy
1. **Configuration file fetch failure**: Log error, return current version, don't offer updates
2. **No matching version**: Notify user that current version doesn't support automatic upgrade
3. **Network exception**: Cache last successfully fetched configuration (optional)
## GitHub Release Requirements
To support intermediate version upgrades, the following files need to be retained:
- **v1.7.0 release** and its latest*.yml files (as upgrade target for users below v1.7)
- Future intermediate versions (e.g., v2.8.0) need to retain corresponding release and latest*.yml files
- Complete installation packages for each version
### Currently Required Releases
| Version | Purpose | Must Retain |
|---------|---------|-------------|
| v1.7.0 | Upgrade target for users below 1.7 | ✅ Yes |
| v2.0.0-rc.1 | RC testing channel | ❌ Optional |
| v2.0.0-beta.1 | Beta testing channel | ❌ Optional |
| latest | Latest stable version (automatic) | ✅ Yes |
## Advantages
1. **Flexibility**: Supports arbitrarily complex upgrade paths
2. **Extensibility**: Adding new versions only requires adding new entries to the configuration file
3. **Maintainability**: Configuration is separated from code, allowing upgrade strategy adjustments without releasing new versions
4. **Multi-source support**: Automatically selects optimal configuration source based on geolocation
5. **Version control**: Enforces intermediate version upgrades, ensuring data migration and compatibility
## Future Extensions
- Support more granular version range control (e.g., `>=1.5.0 <1.8.0`)
- Support multi-step upgrade path hints (e.g., notify user needs 1.5 → 1.8 → 2.0)
- Support A/B testing and gradual rollout
- Support local caching and expiration strategy for configuration files

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@@ -85,7 +85,7 @@ Main responsibilities:
- **SvgPreview**: SVG image preview
- **GraphvizPreview**: Graphviz diagram preview
All special view components share a common architecture for consistent user experience and functionality. For detailed information about these components and their implementation, see [Image Preview Components Documentation](./image-preview.md).
All special view components share a common architecture for consistent user experience and functionality. For detailed information about these components and their implementation, see [Image Preview Components Documentation](./ImagePreview-en.md).
#### StatusBar

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@@ -85,7 +85,7 @@ graph TD
- **SvgPreview**: SVG 图像预览
- **GraphvizPreview**: Graphviz 图表预览
所有特殊视图组件共享通用架构,以确保一致的用户体验和功能。有关这些组件及其实现的详细信息,请参阅[图像预览组件文档](./image-preview.md)。
所有特殊视图组件共享通用架构,以确保一致的用户体验和功能。有关这些组件及其实现的详细信息,请参阅 [图像预览组件文档](./ImagePreview-zh.md)。
#### StatusBar 状态栏

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@@ -192,4 +192,4 @@ Image Preview Components integrate seamlessly with CodeBlockView:
- Shared state management
- Responsive layout adaptation
For more information about the overall CodeBlockView architecture, see [CodeBlockView Documentation](./code-block-view.md).
For more information about the overall CodeBlockView architecture, see [CodeBlockView Documentation](./CodeBlockView-en.md).

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@@ -192,4 +192,4 @@ const { containerRef, error, isLoading, triggerRender, cancelRender, clearError,
- 共享状态管理
- 响应式布局适应
有关整体 CodeBlockView 架构的更多信息,请参阅 [CodeBlockView 文档](./code-block-view.md)。
有关整体 CodeBlockView 架构的更多信息,请参阅 [CodeBlockView 文档](./CodeBlockView-zh.md)。

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# 消息的生命周期
![image](./message-lifecycle.png)

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# 数据库设置字段
此文档包含部分字段的数据类型说明。
## 字段
| 字段名 | 类型 | 说明 |
| ------------------------------ | ------------------------------ | ------------ |
| `translate:target:language` | `LanguageCode` | 翻译目标语言 |
| `translate:source:language` | `LanguageCode` | 翻译源语言 |
| `translate:bidirectional:pair` | `[LanguageCode, LanguageCode]` | 双向翻译对 |

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# `translate_languages` 表技术文档
## 📄 概述
`translate_languages` 记录用户自定义的的语言类型(`Language`)。
### 字段说明
| 字段名 | 类型 | 是否主键 | 索引 | 说明 |
| ---------- | ------ | -------- | ---- | ------------------------------------------------------------------------ |
| `id` | string | ✅ 是 | ✅ | 唯一标识符,主键 |
| `langCode` | string | ❌ 否 | ✅ | 语言代码(如:`zh-cn`, `en-us`, `ja-jp` 等,均为小写),支持普通索引查询 |
| `value` | string | ❌ 否 | ❌ | 语言的名称,用户输入 |
| `emoji` | string | ❌ 否 | ❌ | 语言的emoji用户输入 |
> `langCode` 虽非主键,但在业务层应当避免重复插入相同语言代码。

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@@ -18,11 +18,11 @@ The plugin has already been configured in the project — simply install it to g
### Demo
![demo-1](../../assets/images/i18n/demo-1.png)
![demo-1](./.assets.how-to-i18n/demo-1.png)
![demo-2](../../assets/images/i18n/demo-2.png)
![demo-2](./.assets.how-to-i18n/demo-2.png)
![demo-3](../../assets/images/i18n/demo-3.png)
![demo-3](./.assets.how-to-i18n/demo-3.png)
## i18n Conventions

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@@ -15,11 +15,11 @@ i18n ally是一个强大的VSCode插件它能在开发阶段提供实时反
### 效果展示
![demo-1](../../assets/images/i18n/demo-1.png)
![demo-1](./.assets.how-to-i18n/demo-1.png)
![demo-2](../../assets/images/i18n/demo-2.png)
![demo-2](./.assets.how-to-i18n/demo-2.png)
![demo-3](../../assets/images/i18n/demo-3.png)
![demo-3](./.assets.how-to-i18n/demo-3.png)
## i18n 约定

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# messageBlock.ts 使用指南
该文件定义了用于管理应用程序中所有 `MessageBlock` 实体的 Redux Slice。它使用 Redux Toolkit 的 `createSlice``createEntityAdapter` 来高效地处理规范化的状态,并提供了一系列 actions 和 selectors 用于与消息块数据交互。
## 核心目标
- **状态管理**: 集中管理所有 `MessageBlock` 的状态。`MessageBlock` 代表消息中的不同内容单元(如文本、代码、图片、引用等)。
- **规范化**: 使用 `createEntityAdapter``MessageBlock` 数据存储在规范化的结构中(`{ ids: [], entities: {} }`),这有助于提高性能和简化更新逻辑。
- **可预测性**: 提供明确的 actions 来修改状态,并通过 selectors 安全地访问状态。
## 关键概念
- **Slice (`createSlice`)**: Redux Toolkit 的核心 API用于创建包含 reducer 逻辑、action creators 和初始状态的 Redux 模块。
- **Entity Adapter (`createEntityAdapter`)**: Redux Toolkit 提供的工具,用于简化对规范化数据的 CRUD创建、读取、更新、删除操作。它会自动生成 reducer 函数和 selectors。
- **Selectors**: 用于从 Redux store 中派生和计算数据的函数。Selectors 可以被记忆化memoized以提高性能。
## State 结构
`messageBlocks` slice 的状态结构由 `createEntityAdapter` 定义,大致如下:
```typescript
{
ids: string[]; // 存储所有 MessageBlock ID 的有序列表
entities: { [id: string]: MessageBlock }; // 按 ID 存储 MessageBlock 对象的字典
loadingState: 'idle' | 'loading' | 'succeeded' | 'failed'; // (可选) 其他状态,如加载状态
error: string | null; // (可选) 错误信息
}
```
## Actions
该 slice 导出以下 actions (由 `createSlice``createEntityAdapter` 自动生成或自定义)
- **`upsertOneBlock(payload: MessageBlock)`**:
- 添加一个新的 `MessageBlock` 或更新一个已存在的 `MessageBlock`。如果 payload 中的 `id` 已存在,则执行更新;否则执行插入。
- **`upsertManyBlocks(payload: MessageBlock[])`**:
- 添加或更新多个 `MessageBlock`。常用于批量加载数据(例如,加载一个 Topic 的所有消息块)。
- **`removeOneBlock(payload: string)`**:
- 根据提供的 `id` (payload) 移除单个 `MessageBlock`
- **`removeManyBlocks(payload: string[])`**:
- 根据提供的 `id` 数组 (payload) 移除多个 `MessageBlock`。常用于删除消息或清空 Topic 时清理相关的块。
- **`removeAllBlocks()`**:
- 移除 state 中的所有 `MessageBlock` 实体。
- **`updateOneBlock(payload: { id: string; changes: Partial<MessageBlock> })`**:
- 更新一个已存在的 `MessageBlock``payload` 需要包含块的 `id` 和一个包含要更改的字段的 `changes` 对象。
- **`setMessageBlocksLoading(payload: 'idle' | 'loading')`**:
- (自定义) 设置 `loadingState` 属性。
- **`setMessageBlocksError(payload: string)`**:
- (自定义) 设置 `loadingState``'failed'` 并记录错误信息。
**使用示例 (在 Thunk 或其他 Dispatch 的地方):**
```typescript
import { upsertOneBlock, removeManyBlocks, updateOneBlock } from './messageBlock'
import store from './store' // 假设这是你的 Redux store 实例
// 添加或更新一个块
const newBlock: MessageBlock = {
/* ... block data ... */
}
store.dispatch(upsertOneBlock(newBlock))
// 更新一个块的内容
store.dispatch(updateOneBlock({ id: blockId, changes: { content: 'New content' } }))
// 删除多个块
const blockIdsToRemove = ['id1', 'id2']
store.dispatch(removeManyBlocks(blockIdsToRemove))
```
## Selectors
该 slice 导出由 `createEntityAdapter` 生成的基础 selectors并通过 `messageBlocksSelectors` 对象访问:
- **`messageBlocksSelectors.selectIds(state: RootState): string[]`**: 返回包含所有块 ID 的数组。
- **`messageBlocksSelectors.selectEntities(state: RootState): { [id: string]: MessageBlock }`**: 返回块 ID 到块对象的映射字典。
- **`messageBlocksSelectors.selectAll(state: RootState): MessageBlock[]`**: 返回包含所有块对象的数组。
- **`messageBlocksSelectors.selectTotal(state: RootState): number`**: 返回块的总数。
- **`messageBlocksSelectors.selectById(state: RootState, id: string): MessageBlock | undefined`**: 根据 ID 返回单个块对象,如果找不到则返回 `undefined`
**此外,还提供了一个自定义的、记忆化的 selector**
- **`selectFormattedCitationsByBlockId(state: RootState, blockId: string | undefined): Citation[]`**:
- 接收一个 `blockId`
- 如果该 ID 对应的块是 `CITATION` 类型,则提取并格式化其包含的引用信息(来自网页搜索、知识库等),进行去重和重新编号,最后返回一个 `Citation[]` 数组,用于在 UI 中显示。
- 如果块不存在或类型不匹配,返回空数组 `[]`
- 这个 selector 封装了处理不同引用来源Gemini, OpenAI, OpenRouter, Zhipu 等)的复杂逻辑。
**使用示例 (在 React 组件或 `useSelector` 中):**
```typescript
import { useSelector } from 'react-redux'
import { messageBlocksSelectors, selectFormattedCitationsByBlockId } from './messageBlock'
import type { RootState } from './store'
// 获取所有块
const allBlocks = useSelector(messageBlocksSelectors.selectAll)
// 获取特定 ID 的块
const specificBlock = useSelector((state: RootState) => messageBlocksSelectors.selectById(state, someBlockId))
// 获取特定引用块格式化后的引用列表
const formattedCitations = useSelector((state: RootState) => selectFormattedCitationsByBlockId(state, citationBlockId))
// 在组件中使用引用数据
// {formattedCitations.map(citation => ...)}
```
## 集成
`messageBlock.ts` slice 通常与 `messageThunk.ts` 中的 Thunks 紧密协作。Thunks 负责处理异步逻辑(如 API 调用、数据库操作),并在需要时 dispatch `messageBlock` slice 的 actions 来更新状态。例如,当 `messageThunk` 接收到流式响应时,它会 dispatch `upsertOneBlock``updateOneBlock` 来实时更新对应的 `MessageBlock`。同样,删除消息的 Thunk 会 dispatch `removeManyBlocks`
理解 `messageBlock.ts` 的职责是管理**状态本身**,而 `messageThunk.ts` 负责**触发状态变更**的异步流程,这对于维护清晰的应用架构至关重要。

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# messageThunk.ts 使用指南
该文件包含用于管理应用程序中消息流、处理助手交互以及同步 Redux 状态与 IndexedDB 数据库的核心 Thunk Action Creators。主要围绕 `Message``MessageBlock` 对象进行操作。
## 核心功能
1. **发送/接收消息**: 处理用户消息的发送,触发助手响应,并流式处理返回的数据,将其解析为不同的 `MessageBlock`
2. **状态管理**: 确保 Redux store 中的消息和消息块状态与 IndexedDB 中的持久化数据保持一致。
3. **消息操作**: 提供删除、重发、重新生成、编辑后重发、追加响应、克隆等消息生命周期管理功能。
4. **Block 处理**: 动态创建、更新和保存各种类型的 `MessageBlock`(文本、思考过程、工具调用、引用、图片、错误、翻译等)。
## 主要 Thunks
以下是一些关键的 Thunk 函数及其用途:
1. **`sendMessage(userMessage, userMessageBlocks, assistant, topicId)`**
- **用途**: 发送一条新的用户消息。
- **流程**:
- 保存用户消息 (`userMessage`) 及其块 (`userMessageBlocks`) 到 Redux 和 DB。
- 检查 `@mentions` 以确定是单模型响应还是多模型响应。
- 创建助手消息(们)的存根 (Stub)。
- 将存根添加到 Redux 和 DB。
- 将核心处理逻辑 `fetchAndProcessAssistantResponseImpl` 添加到该 `topicId` 的队列中以获取实际响应。
- **Block 相关**: 主要处理用户消息的初始 `MessageBlock` 保存。
2. **`fetchAndProcessAssistantResponseImpl(dispatch, getState, topicId, assistant, assistantMessage)`**
- **用途**: (内部函数) 获取并处理单个助手响应的核心逻辑,被 `sendMessage`, `resend...`, `regenerate...`, `append...` 等调用。
- **流程**:
- 设置 Topic 加载状态。
- 准备上下文消息。
- 调用 `fetchChatCompletion` API 服务。
- 使用 `createStreamProcessor` 处理流式响应。
- 通过各种回调 (`onTextChunk`, `onThinkingChunk`, `onToolCallComplete`, `onImageGenerated`, `onError`, `onComplete` 等) 处理不同类型的事件。
- **Block 相关**:
- 根据流事件创建初始 `UNKNOWN` 块。
- 实时创建和更新 `MAIN_TEXT``THINKING` 块,使用 `throttledBlockUpdate``throttledBlockDbUpdate` 进行节流更新。
- 创建 `TOOL`, `CITATION`, `IMAGE`, `ERROR` 等类型的块。
- 在事件完成时(如 `onTextComplete`, `onToolCallComplete`)将块状态标记为 `SUCCESS``ERROR`,并使用 `saveUpdatedBlockToDB` 保存最终状态。
- 使用 `handleBlockTransition` 管理非流式块(如 `TOOL`, `CITATION`)的添加和状态更新。
3. **`loadTopicMessagesThunk(topicId, forceReload)`**
- **用途**: 从数据库加载指定主题的所有消息及其关联的 `MessageBlock`
- **流程**:
- 从 DB 获取 `Topic` 及其 `messages` 列表。
- 根据消息 ID 列表从 DB 获取所有相关的 `MessageBlock`
- 使用 `upsertManyBlocks` 将块更新到 Redux。
- 将消息更新到 Redux。
- **Block 相关**: 负责将持久化的 `MessageBlock` 加载到 Redux 状态。
4. **删除 Thunks**
- `deleteSingleMessageThunk(topicId, messageId)`: 删除单个消息及其所有 `MessageBlock`
- `deleteMessageGroupThunk(topicId, askId)`: 删除一个用户消息及其所有相关的助手响应消息和它们的所有 `MessageBlock`
- `clearTopicMessagesThunk(topicId)`: 清空主题下的所有消息及其所有 `MessageBlock`
- **Block 相关**: 从 Redux 和 DB 中移除指定的 `MessageBlock`
5. **重发/重新生成 Thunks**
- `resendMessageThunk(topicId, userMessageToResend, assistant)`: 重发用户消息。会重置(清空 Block 并标记为 PENDING所有与该用户消息关联的助手响应然后重新请求生成。
- `resendUserMessageWithEditThunk(topicId, originalMessage, mainTextBlockId, editedContent, assistant)`: 用户编辑消息内容后重发。先更新用户消息的 `MAIN_TEXT` 块内容,然后调用 `resendMessageThunk`
- `regenerateAssistantResponseThunk(topicId, assistantMessageToRegenerate, assistant)`: 重新生成单个助手响应。重置该助手消息(清空 Block 并标记为 PENDING然后重新请求生成。
- **Block 相关**: 删除旧的 `MessageBlock`,并在重新生成过程中创建新的 `MessageBlock`
6. **`appendAssistantResponseThunk(topicId, existingAssistantMessageId, newModel, assistant)`**
- **用途**: 在已有的对话上下文中,针对同一个用户问题,使用新选择的模型追加一个新的助手响应。
- **流程**:
- 找到现有助手消息以获取原始 `askId`
- 创建使用 `newModel` 的新助手消息存根(使用相同的 `askId`)。
- 添加新存根到 Redux 和 DB。
-`fetchAndProcessAssistantResponseImpl` 添加到队列以生成新响应。
- **Block 相关**: 为新的助手响应创建全新的 `MessageBlock`
7. **`cloneMessagesToNewTopicThunk(sourceTopicId, branchPointIndex, newTopic)`**
- **用途**: 将源主题的部分消息(及其 Block克隆到一个**已存在**的新主题中。
- **流程**:
- 复制指定索引前的消息。
- 为所有克隆的消息和 Block 生成新的 UUID。
- 正确映射克隆消息之间的 `askId` 关系。
- 复制 `MessageBlock` 内容,更新其 `messageId` 指向新的消息 ID。
- 更新文件引用计数(如果 Block 是文件或图片)。
- 将克隆的消息和 Block 保存到新主题的 Redux 状态和 DB 中。
- **Block 相关**: 创建 `MessageBlock` 的副本,并更新其 ID 和 `messageId`
8. **`initiateTranslationThunk(messageId, topicId, targetLanguage, sourceBlockId?, sourceLanguage?)`**
- **用途**: 为指定消息启动翻译流程,创建一个初始的 `TRANSLATION` 类型的 `MessageBlock`
- **流程**:
- 创建一个状态为 `STREAMING``TranslationMessageBlock`
- 将其添加到 Redux 和 DB。
- 更新原消息的 `blocks` 列表以包含新的翻译块 ID。
- **Block 相关**: 创建并保存一个占位的 `TranslationMessageBlock`。实际翻译内容的获取和填充需要后续步骤。
## 内部机制和注意事项
- **数据库交互**: 通过 `saveMessageAndBlocksToDB`, `updateExistingMessageAndBlocksInDB`, `saveUpdatesToDB`, `saveUpdatedBlockToDB`, `throttledBlockDbUpdate` 等辅助函数与 IndexedDB (`db`) 交互,确保数据持久化。
- **状态同步**: Thunks 负责协调 Redux Store 和 IndexedDB 之间的数据一致性。
- **队列 (`getTopicQueue`)**: 使用 `AsyncQueue` 确保对同一主题的操作(尤其是 API 请求)按顺序执行,避免竞态条件。
- **节流 (`throttle`)**: 对流式响应中频繁的 Block 更新(文本、思考)使用 `lodash.throttle` 优化性能,减少 Redux dispatch 和 DB 写入次数。
- **错误处理**: `fetchAndProcessAssistantResponseImpl` 内的回调函数(特别是 `onError`)处理流处理和 API 调用中可能出现的错误,并创建 `ERROR` 类型的 `MessageBlock`
开发者在使用这些 Thunks 时,通常需要提供 `dispatch`, `getState` (由 Redux Thunk 中间件注入),以及如 `topicId`, `assistant` 配置对象, 相关的 `Message``MessageBlock` 对象/ID 等参数。理解每个 Thunk 的职责和它如何影响消息及块的状态至关重要。

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# useMessageOperations.ts 使用指南
该文件定义了一个名为 `useMessageOperations` 的自定义 React Hook。这个 Hook 的主要目的是为 React 组件提供一个便捷的接口用于执行与特定主题Topic相关的各种消息操作。它封装了调用 Redux Thunks (`messageThunk.ts`) 和 Actions (`newMessage.ts`, `messageBlock.ts`) 的逻辑,简化了组件与消息数据交互的代码。
## 核心目标
- **封装**: 将复杂的消息操作逻辑(如删除、重发、重新生成、编辑、翻译等)封装在易于使用的函数中。
- **简化**: 让组件可以直接调用这些操作函数,而无需直接与 Redux `dispatch` 或 Thunks 交互。
- **上下文关联**: 所有操作都与传入的 `topic` 对象相关联,确保操作作用于正确的主题。
## 如何使用
在你的 React 函数组件中,导入并调用 `useMessageOperations` Hook并传入当前活动的 `Topic` 对象。
```typescript
import React from 'react';
import { useMessageOperations } from '@renderer/hooks/useMessageOperations';
import type { Topic, Message, Assistant, Model } from '@renderer/types';
interface MyComponentProps {
currentTopic: Topic;
currentAssistant: Assistant;
}
function MyComponent({ currentTopic, currentAssistant }: MyComponentProps) {
const {
deleteMessage,
resendMessage,
regenerateAssistantMessage,
appendAssistantResponse,
getTranslationUpdater,
createTopicBranch,
// ... 其他操作函数
} = useMessageOperations(currentTopic);
const handleDelete = (messageId: string) => {
deleteMessage(messageId);
};
const handleResend = (message: Message) => {
resendMessage(message, currentAssistant);
};
const handleAppend = (existingMsg: Message, newModel: Model) => {
appendAssistantResponse(existingMsg, newModel, currentAssistant);
}
// ... 在组件中使用其他操作函数
return (
<div>
{/* Component UI */}
<button onClick={() => handleDelete('some-message-id')}>Delete Message</button>
{/* ... */}
</div>
);
}
```
## 返回值
`useMessageOperations(topic)` Hook 返回一个包含以下函数和值的对象:
- **`deleteMessage(id: string)`**:
- 删除指定 `id` 的单个消息。
- 内部调用 `deleteSingleMessageThunk`
- **`deleteGroupMessages(askId: string)`**:
- 删除与指定 `askId` 相关联的一组消息(通常是用户提问及其所有助手回答)。
- 内部调用 `deleteMessageGroupThunk`
- **`editMessage(messageId: string, updates: Partial<Message>)`**:
- 更新指定 `messageId` 的消息的部分属性。
- **注意**: 目前主要用于更新 Redux 状态
- 内部调用 `newMessagesActions.updateMessage`
- **`resendMessage(message: Message, assistant: Assistant)`**:
- 重新发送指定的用户消息 (`message`),这将触发其所有关联助手响应的重新生成。
- 内部调用 `resendMessageThunk`
- **`resendUserMessageWithEdit(message: Message, editedContent: string, assistant: Assistant)`**:
- 在用户消息的主要文本块被编辑后,重新发送该消息。
- 会先查找消息的 `MAIN_TEXT` 块 ID然后调用 `resendUserMessageWithEditThunk`
- **`clearTopicMessages(_topicId?: string)`**:
- 清除当前主题(或可选的指定 `_topicId`)下的所有消息。
- 内部调用 `clearTopicMessagesThunk`
- **`createNewContext()`**:
- 发出一个全局事件 (`EVENT_NAMES.NEW_CONTEXT`),通常用于通知 UI 清空显示,准备新的上下文。不直接修改 Redux 状态。
- **`displayCount`**:
- (非操作函数) 从 Redux store 中获取当前的 `displayCount` 值。
- **`pauseMessages()`**:
- 尝试中止当前主题中正在进行的消息生成(状态为 `processing``pending`)。
- 通过查找相关的 `askId` 并调用 `abortCompletion` 来实现。
- 同时会 dispatch `setTopicLoading` action 将加载状态设为 `false`
- **`resumeMessage(message: Message, assistant: Assistant)`**:
- 恢复/重新发送一个用户消息。目前实现为直接调用 `resendMessage`
- **`regenerateAssistantMessage(message: Message, assistant: Assistant)`**:
- 重新生成指定的**助手**消息 (`message`) 的响应。
- 内部调用 `regenerateAssistantResponseThunk`
- **`appendAssistantResponse(existingAssistantMessage: Message, newModel: Model, assistant: Assistant)`**:
- 针对 `existingAssistantMessage` 所回复的**同一用户提问**,使用 `newModel` 追加一个新的助手响应。
- 内部调用 `appendAssistantResponseThunk`
- **`getTranslationUpdater(messageId: string, targetLanguage: string, sourceBlockId?: string, sourceLanguage?: string)`**:
- **用途**: 获取一个用于逐步更新翻译块内容的函数。
- **流程**:
1. 内部调用 `initiateTranslationThunk` 来创建或获取一个 `TRANSLATION` 类型的 `MessageBlock`,并获取其 `blockId`
2. 返回一个**异步更新函数**。
- **返回的更新函数 `(accumulatedText: string, isComplete?: boolean) => void`**:
- 接收累积的翻译文本和完成状态。
- 调用 `updateOneBlock` 更新 Redux 中的翻译块内容和状态 (`STREAMING``SUCCESS`)。
- 调用 `throttledBlockDbUpdate` 将更新(节流地)保存到数据库。
- 如果初始化失败Thunk 返回 `undefined`),则此函数返回 `null`
- **`createTopicBranch(sourceTopicId: string, branchPointIndex: number, newTopic: Topic)`**:
- 创建一个主题分支,将 `sourceTopicId` 主题中 `branchPointIndex` 索引之前的消息克隆到 `newTopic` 中。
- **注意**: `newTopic` 对象必须是调用此函数**之前**已经创建并添加到 Redux 和数据库中的。
- 内部调用 `cloneMessagesToNewTopicThunk`
## 依赖
- **`topic: Topic`**: 必须传入当前操作上下文的主题对象。Hook 返回的操作函数将始终作用于这个主题的 `topic.id`
- **Redux `dispatch`**: Hook 内部使用 `useAppDispatch` 获取 `dispatch` 函数来调用 actions 和 thunks。
## 相关 Hooks
在同一文件中还定义了两个辅助 Hook
- **`useTopicMessages(topic: Topic)`**:
- 使用 `selectMessagesForTopic` selector 来获取并返回指定主题的消息列表。
- **`useTopicLoading(topic: Topic)`**:
- 使用 `selectNewTopicLoading` selector 来获取并返回指定主题的加载状态。
这些 Hook 可以与 `useMessageOperations` 结合使用,方便地在组件中获取消息数据、加载状态,并执行相关操作。

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@@ -11,15 +11,13 @@ The Test Plan is divided into the RC channel and the Beta channel, with the foll
Users can enable the "Test Plan" and select the version channel in the software's `Settings` > `About`. Please note that the versions in the "Test Plan" cannot guarantee data consistency, so be sure to back up your data before using them.
After enabling the RC channel or Beta channel, if a stable version is released, users will still be upgraded to the stable version.
Users are welcome to submit issues or provide feedback through other channels for any bugs encountered during testing. Your feedback is very important to us.
## Developer Guide
### Participating in the Test Plan
Developers should submit `PRs` according to the [Contributor Guide](../../CONTRIBUTING.md) (and ensure the target branch is `main`). The repository maintainers will evaluate whether the `PR` should be included in the Test Plan based on factors such as the impact of the feature on the application, its importance, and whether broader testing is needed.
Developers should submit `PRs` according to the [Contributor Guide](../CONTRIBUTING.md) (and ensure the target branch is `main`). The repository maintainers will evaluate whether the `PR` should be included in the Test Plan based on factors such as the impact of the feature on the application, its importance, and whether broader testing is needed.
If the `PR` is added to the Test Plan, the repository maintainers will:

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用户可以在软件的`设置`-`关于`中,开启“测试计划”并选择版本通道。请注意“测试计划”的版本无法保证数据的一致性,请使用前一定要备份数据。
用户选择RC版通道或Beta版通道后若发布了正式版仍旧会升级到正式版。
用户在测试过程中发现的BUG欢迎提交issue或通过其他渠道反馈。用户的反馈对我们非常重要。
## 开发者指南
### 参与测试计划
开发者按照[贡献者指南](./contributing.md)要求正常提交`PR`并注意提交target为`main`)。仓库维护者会综合考虑(例如该功能对应用的影响程度,功能的重要性,是否需要更广泛的测试等),决定该`PR`是否应加入测试计划。
开发者按照[贡献者指南](CONTRIBUTING.zh.md)要求正常提交`PR`并注意提交target为`main`)。仓库维护者会综合考虑(例如该功能对应用的影响程度,功能的重要性,是否需要更广泛的测试等),决定该`PR`是否应加入测试计划。
若该`PR`加入测试计划,仓库维护者会做如下操作:

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@@ -1,73 +0,0 @@
# 🖥️ Develop
## IDE Setup
- Editor: [Cursor](https://www.cursor.com/), etc. Any VS Code compatible editor.
- Linter: [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
- Formatter: [Biome](https://marketplace.visualstudio.com/items?itemName=biomejs.biome)
## Project Setup
### Install
```bash
yarn
```
### Development
### Setup Node.js
Download and install [Node.js v22.x.x](https://nodejs.org/en/download)
### Setup Yarn
```bash
corepack enable
corepack prepare yarn@4.9.1 --activate
```
### Install Dependencies
```bash
yarn install
```
### ENV
```bash
copy .env.example .env
```
### Start
```bash
yarn dev
```
### Debug
```bash
yarn debug
```
Then input chrome://inspect in browser
### Test
```bash
yarn test
```
### Build
```bash
# For windows
$ yarn build:win
# For macOS
$ yarn build:mac
# For Linux
$ yarn build:linux
```

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@@ -1,430 +0,0 @@
# 更新配置系统设计文档
## 背景
当前 AppUpdater 直接请求 GitHub API 获取 beta 和 rc 的更新信息。为了支持国内用户,需要根据 IP 地理位置,分别从 GitHub/GitCode 获取一个固定的 JSON 配置文件,该文件包含所有渠道的更新地址。
## 设计目标
1. 支持根据 IP 地理位置选择不同的配置源GitHub/GitCode
2. 支持版本兼容性控制(如 v1.x 以下必须先升级到 v1.7.0 才能升级到 v2.0
3. 易于扩展支持未来多个主版本的升级路径v1.6 → v1.7 → v2.0 → v2.8 → v3.0
4. 保持与现有 electron-updater 机制的兼容性
## 当前版本策略
- **v1.7.x** 是 1.x 系列的最后版本
- **v1.7.0 以下**的用户必须先升级到 v1.7.0(或更高的 1.7.x 版本)
- **v1.7.0 及以上**的用户可以直接升级到 v2.x.x
## 自动化工作流
`x-files/app-upgrade-config/app-upgrade-config.json` 由 [`Update App Upgrade Config`](../../.github/workflows/update-app-upgrade-config.yml) workflow 自动同步。工作流会调用 [`scripts/update-app-upgrade-config.ts`](../../scripts/update-app-upgrade-config.ts) 脚本,根据指定 tag 更新 `x-files/app-upgrade-config` 分支上的配置文件。
### 触发条件
- **Release 事件(`release: released/prereleased`**
- Draft release 会被忽略。
- 当 GitHub 将 release 标记为 *prerelease*tag 必须包含 `-beta`/`-rc`(可带序号),否则直接跳过。
- 当 release 标记为稳定版时tag 必须与 GitHub API 返回的最新稳定版本一致,防止发布历史 tag 时意外挂起工作流。
- 满足上述条件后,工作流会根据语义化版本判断渠道(`latest`/`beta`/`rc`),并通过 `IS_PRERELEASE` 传递给脚本。
- **手动触发(`workflow_dispatch`**
- 必填:`tag`(例:`v2.0.1`);选填:`is_prerelease`(默认 `false`)。
-`is_prerelease=true` 时,同样要求 tag 带有 beta/rc 后缀。
- 手动运行仍会请求 GitHub 最新 release 信息,用于在 PR 说明中标注该 tag 是否是最新稳定版。
### 工作流步骤
1. **检查与元数据准备**`Check if should proceed``Prepare metadata` 步骤会计算 tag、prerelease 标志、是否最新版本以及用于分支名的 `safe_tag`。若任意校验失败,工作流立即退出。
2. **检出分支**:默认分支被检出到 `main/`,长期维护的 `x-files/app-upgrade-config` 分支则在 `cs/` 中,所有改动都发生在 `cs/`
3. **安装工具链**:安装 Node.js 22、启用 Corepack并在 `main/` 目录执行 `yarn install --immutable`
4. **运行更新脚本**:执行 `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json --is-prerelease <flag>`
- 脚本会标准化 tag去掉 `v` 前缀等)、识别渠道、加载 `config/app-upgrade-segments.json` 中的分段规则。
- 校验 prerelease 标志与语义后缀是否匹配、强制锁定的 segment 是否满足、生成镜像的下载地址,并检查 release 是否已经在 GitHub/GitCode 可用latest 渠道在 GitCode 不可用时会回退到 `https://releases.cherry-ai.com`)。
- 更新对应的渠道配置后,脚本会按 semver 排序写回 JSON并刷新 `lastUpdated`
5. **检测变更并创建 PR**:若 `cs/app-upgrade-config.json` 有变更,则创建 `chore/update-app-upgrade-config/<safe_tag>` 分支,提交信息为 `🤖 chore: sync app-upgrade-config for <tag>`,并向 `x-files/app-upgrade-config` 提 PR无变更则输出提示。
### 手动触发指南
1. 进入 Cherry Studio 仓库的 GitHub **Actions** 页面,选择 **Update App Upgrade Config** 工作流。
2. 点击 **Run workflow**,保持默认分支(通常为 `main`),填写 `tag`(如 `v2.1.0`)。
3. 只有在 tag 带 `-beta`/`-rc` 后缀时才勾选 `is_prerelease`,稳定版保持默认。
4. 启动运行并等待完成,随后到 `x-files/app-upgrade-config` 分支的 PR 查看 `app-upgrade-config.json` 的变更并在验证后合并。
## JSON 配置文件格式
### 文件位置
- **GitHub**: `https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json`
- **GitCode**: `https://gitcode.com/CherryHQ/cherry-studio/raw/x-files/app-upgrade-config/app-upgrade-config.json`
**说明**:两个镜像源提供相同的配置文件,统一托管在 `x-files/app-upgrade-config` 分支上。客户端根据 IP 地理位置自动选择最优镜像源。
### 配置结构(当前实际配置)
```json
{
"lastUpdated": "2025-01-05T00:00:00Z",
"versions": {
"1.6.7": {
"minCompatibleVersion": "1.0.0",
"description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
"channels": {
"latest": {
"version": "1.6.7",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.7",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v1.6.7"
}
},
"rc": {
"version": "1.6.0-rc.5",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5",
"gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5"
}
},
"beta": {
"version": "1.6.7-beta.3",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3",
"gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3"
}
}
}
},
"2.0.0": {
"minCompatibleVersion": "1.7.0",
"description": "Major release v2.0 - required intermediate version for v2.x upgrades",
"channels": {
"latest": null,
"rc": null,
"beta": null
}
}
}
}
```
### 未来扩展示例
当需要发布 v3.0 时,如果需要强制用户先升级到 v2.8,可以添加:
```json
{
"2.8.0": {
"minCompatibleVersion": "2.0.0",
"description": "Stable v2.8 - required for v3 upgrade",
"channels": {
"latest": {
"version": "2.8.0",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v2.8.0",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v2.8.0"
}
},
"rc": null,
"beta": null
}
},
"3.0.0": {
"minCompatibleVersion": "2.8.0",
"description": "Major release v3.0",
"channels": {
"latest": {
"version": "3.0.0",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/latest",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/latest"
}
},
"rc": {
"version": "3.0.0-rc.1",
"feedUrls": {
"github": "https://github.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1",
"gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1"
}
},
"beta": null
}
}
}
```
### 字段说明
- `lastUpdated`: 配置文件最后更新时间ISO 8601 格式)
- `versions`: 版本配置对象key 为版本号,按语义化版本排序
- `minCompatibleVersion`: 可以升级到此版本的最低兼容版本
- `description`: 版本描述
- `channels`: 更新渠道配置
- `latest`: 稳定版渠道
- `rc`: Release Candidate 渠道
- `beta`: Beta 测试渠道
- 每个渠道包含:
- `version`: 该渠道的版本号
- `feedUrls`: 多镜像源 URL 配置
- `github`: GitHub 镜像源的 electron-updater feed URL
- `gitcode`: GitCode 镜像源的 electron-updater feed URL
- `metadata`: 自动化匹配所需的稳定标识
- `segmentId`: 来自 `config/app-upgrade-segments.json` 的段位 ID
- `segmentType`: 可选字段(`legacy` | `breaking` | `latest`),便于文档/调试
## TypeScript 类型定义
```typescript
// 镜像源枚举
enum UpdateMirror {
GITHUB = 'github',
GITCODE = 'gitcode'
}
interface UpdateConfig {
lastUpdated: string
versions: {
[versionKey: string]: VersionConfig
}
}
interface VersionConfig {
minCompatibleVersion: string
description: string
channels: {
latest: ChannelConfig | null
rc: ChannelConfig | null
beta: ChannelConfig | null
}
metadata?: {
segmentId: string
segmentType?: 'legacy' | 'breaking' | 'latest'
}
}
interface ChannelConfig {
version: string
feedUrls: Record<UpdateMirror, string>
// 等同于:
// feedUrls: {
// github: string
// gitcode: string
// }
}
```
## 段位元数据Break Change 标记)
- 所有段位定义(如 `legacy-v1``gateway-v2` 等)集中在 `config/app-upgrade-segments.json`,用于描述匹配范围、`segmentId``segmentType`、默认 `minCompatibleVersion/description` 以及各渠道的 URL 模板。
- `versions` 下的每个节点都会带上 `metadata.segmentId`。自动脚本始终依据该 ID 来定位并更新条目,即便 key 从 `2.1.5` 切换到 `2.1.6` 也不会错位。
- 如果某段需要锁死在特定版本(例如 `2.0.0` 的 break change可在段定义中设置 `segmentType: "breaking"` 并提供 `lockedVersion`,脚本在遇到不匹配的 tag 时会短路报错,保证升级路径安全。
- 面对未来新的断层(例如 `3.0.0`),只需要在段定义里新增一段,自动化即可识别并更新。
## 自动化工作流
`.github/workflows/update-app-upgrade-config.yml` 会在 GitHub Release包含正常发布与 Pre Release触发
1. 同时 Checkout 仓库默认分支(用于脚本)和 `x-files/app-upgrade-config` 分支(真实托管配置的分支)。
2. 在默认分支目录执行 `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json`,直接重写 `x-files/app-upgrade-config` 分支里的配置文件。
3. 如果 `app-upgrade-config.json` 有变化,则通过 `peter-evans/create-pull-request` 自动创建一个指向 `x-files/app-upgrade-config` 的 PRDiff 仅包含该文件。
如需本地调试,可执行 `yarn update:upgrade-config --tag v2.1.6 --config ../cs/app-upgrade-config.json`(加 `--dry-run` 仅打印结果)来复现 CI 行为。若需要暂时跳过 GitHub/GitCode Release 页面是否就绪的校验,可在 `--dry-run` 的同时附加 `--skip-release-checks`。不加 `--config` 时默认更新当前工作目录(通常是 main 分支)下的副本,方便文档/审查。
## 版本匹配逻辑
### 算法流程
1. 获取用户当前版本(`currentVersion`)和请求的渠道(`requestedChannel`
2. 获取配置文件中所有版本号,按语义化版本从大到小排序
3. 遍历排序后的版本列表:
- 检查 `currentVersion >= minCompatibleVersion`
- 检查请求的 `channel` 是否存在且不为 `null`
- 如果满足条件,返回该渠道配置
4. 如果没有找到匹配版本,返回 `null`
### 伪代码实现
```typescript
function findCompatibleVersion(
currentVersion: string,
requestedChannel: UpgradeChannel,
config: UpdateConfig
): ChannelConfig | null {
// 获取所有版本号并从大到小排序
const versions = Object.keys(config.versions).sort(semver.rcompare)
for (const versionKey of versions) {
const versionConfig = config.versions[versionKey]
const channelConfig = versionConfig.channels[requestedChannel]
// 检查版本兼容性和渠道可用性
if (
semver.gte(currentVersion, versionConfig.minCompatibleVersion) &&
channelConfig !== null
) {
return channelConfig
}
}
return null // 没有找到兼容版本
}
```
## 升级路径示例
### 场景 1: v1.6.5 用户升级(低于 1.7
- **当前版本**: 1.6.5
- **请求渠道**: latest
- **匹配结果**: 1.7.0
- **原因**: 1.6.5 >= 0.0.0(满足 1.7.0 的 minCompatibleVersion但不满足 2.0.0 的 minCompatibleVersion (1.7.0)
- **操作**: 提示用户升级到 1.7.0,这是升级到 v2.x 的必要中间版本
### 场景 2: v1.6.5 用户请求 rc/beta
- **当前版本**: 1.6.5
- **请求渠道**: rc 或 beta
- **匹配结果**: 1.7.0 (latest)
- **原因**: 1.7.0 版本不提供 rc/beta 渠道(值为 null
- **操作**: 升级到 1.7.0 稳定版
### 场景 3: v1.7.0 用户升级到最新版
- **当前版本**: 1.7.0
- **请求渠道**: latest
- **匹配结果**: 2.0.0
- **原因**: 1.7.0 >= 1.7.0(满足 2.0.0 的 minCompatibleVersion
- **操作**: 直接升级到 2.0.0(当前最新稳定版)
### 场景 4: v1.7.2 用户升级到 RC 版本
- **当前版本**: 1.7.2
- **请求渠道**: rc
- **匹配结果**: 2.0.0-rc.1
- **原因**: 1.7.2 >= 1.7.0(满足 2.0.0 的 minCompatibleVersion且 rc 渠道存在
- **操作**: 升级到 2.0.0-rc.1
### 场景 5: v1.7.0 用户升级到 Beta 版本
- **当前版本**: 1.7.0
- **请求渠道**: beta
- **匹配结果**: 2.0.0-beta.1
- **原因**: 1.7.0 >= 1.7.0,且 beta 渠道存在
- **操作**: 升级到 2.0.0-beta.1
### 场景 6: v2.5.0 用户升级(未来)
假设已添加 v2.8.0 和 v3.0.0 配置:
- **当前版本**: 2.5.0
- **请求渠道**: latest
- **匹配结果**: 2.8.0
- **原因**: 2.5.0 >= 2.0.0(满足 2.8.0 的 minCompatibleVersion但不满足 3.0.0 的要求
- **操作**: 提示用户升级到 2.8.0,这是升级到 v3.x 的必要中间版本
## 代码改动计划
### 主要修改
1. **新增方法**
- `_fetchUpdateConfig(ipCountry: string): Promise<UpdateConfig | null>` - 根据 IP 获取配置文件
- `_findCompatibleChannel(currentVersion: string, channel: UpgradeChannel, config: UpdateConfig): ChannelConfig | null` - 查找兼容的渠道配置
2. **修改方法**
- `_getReleaseVersionFromGithub()` → 移除或重构为 `_getChannelFeedUrl()`
- `_setFeedUrl()` - 使用新的配置系统替代现有逻辑
3. **新增类型定义**
- `UpdateConfig`
- `VersionConfig`
- `ChannelConfig`
### 镜像源选择逻辑
客户端根据 IP 地理位置自动选择最优镜像源:
```typescript
private async _setFeedUrl() {
const currentVersion = app.getVersion()
const testPlan = configManager.getTestPlan()
const requestedChannel = testPlan ? this._getTestChannel() : UpgradeChannel.LATEST
// 根据 IP 国家确定镜像源
const ipCountry = await getIpCountry()
const mirror = ipCountry.toLowerCase() === 'cn' ? 'gitcode' : 'github'
// 获取更新配置
const config = await this._fetchUpdateConfig(mirror)
if (config) {
const channelConfig = this._findCompatibleChannel(currentVersion, requestedChannel, config)
if (channelConfig) {
// 从配置中选择对应镜像源的 URL
const feedUrl = channelConfig.feedUrls[mirror]
this._setChannel(requestedChannel, feedUrl)
return
}
}
// Fallback 逻辑
const defaultFeedUrl = mirror === 'gitcode'
? FeedUrl.PRODUCTION
: FeedUrl.GITHUB_LATEST
this._setChannel(UpgradeChannel.LATEST, defaultFeedUrl)
}
private async _fetchUpdateConfig(mirror: 'github' | 'gitcode'): Promise<UpdateConfig | null> {
const configUrl = mirror === 'gitcode'
? UpdateConfigUrl.GITCODE
: UpdateConfigUrl.GITHUB
try {
const response = await net.fetch(configUrl, {
headers: {
'User-Agent': generateUserAgent(),
'Accept': 'application/json',
'X-Client-Id': configManager.getClientId()
}
})
return await response.json() as UpdateConfig
} catch (error) {
logger.error('Failed to fetch update config:', error)
return null
}
}
```
## 降级和容错策略
1. **配置文件获取失败**: 记录错误日志,返回当前版本,不提供更新
2. **没有匹配的版本**: 提示用户当前版本不支持自动升级
3. **网络异常**: 缓存上次成功获取的配置(可选)
## GitHub Release 要求
为支持中间版本升级,需要保留以下文件:
- **v1.7.0 release** 及其 latest*.yml 文件(作为 v1.7 以下用户的升级目标)
- 未来如需强制中间版本(如 v2.8.0),需要保留对应的 release 和 latest*.yml 文件
- 各版本的完整安装包
### 当前需要的 Release
| 版本 | 用途 | 必须保留 |
|------|------|---------|
| v1.7.0 | 1.7 以下用户的升级目标 | ✅ 是 |
| v2.0.0-rc.1 | RC 测试渠道 | ❌ 可选 |
| v2.0.0-beta.1 | Beta 测试渠道 | ❌ 可选 |
| latest | 最新稳定版(自动) | ✅ 是 |
## 优势
1. **灵活性**: 支持任意复杂的升级路径
2. **可扩展性**: 新增版本只需在配置文件中添加新条目
3. **可维护性**: 配置与代码分离,无需发版即可调整升级策略
4. **多源支持**: 自动根据地理位置选择最优配置源
5. **版本控制**: 强制中间版本升级,确保数据迁移和兼容性
## 未来扩展
- 支持更细粒度的版本范围控制(如 `>=1.5.0 <1.8.0`
- 支持多步升级路径提示(如提示用户需要 1.5 → 1.8 → 2.0
- 支持 A/B 测试和灰度发布
- 支持配置文件的本地缓存和过期策略

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@@ -1,34 +0,0 @@
# 数据库参考文档
本文档介绍 Cherry Studio 的数据库结构,包括设置字段和翻译语言表。
---
## 设置字段 (settings)
此部分包含设置相关字段的数据类型说明。
### 翻译相关字段
| 字段名 | 类型 | 说明 |
| ------------------------------ | ------------------------------ | ------------ |
| `translate:target:language` | `LanguageCode` | 翻译目标语言 |
| `translate:source:language` | `LanguageCode` | 翻译源语言 |
| `translate:bidirectional:pair` | `[LanguageCode, LanguageCode]` | 双向翻译对 |
---
## 翻译语言表 (translate_languages)
`translate_languages` 记录用户自定义的的语言类型(`Language`)。
### 字段说明
| 字段名 | 类型 | 是否主键 | 索引 | 说明 |
| ---------- | ------ | -------- | ---- | ------------------------------------------------------------------------ |
| `id` | string | ✅ 是 | ✅ | 唯一标识符,主键 |
| `langCode` | string | ❌ 否 | ✅ | 语言代码(如:`zh-cn`, `en-us`, `ja-jp` 等,均为小写),支持普通索引查询 |
| `value` | string | ❌ 否 | ❌ | 语言的名称,用户输入 |
| `emoji` | string | ❌ 否 | ❌ | 语言的emoji用户输入 |
> `langCode` 虽非主键,但在业务层应当避免重复插入相同语言代码。

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@@ -1,404 +0,0 @@
# 消息系统
本文档介绍 Cherry Studio 的消息系统架构,包括消息生命周期、状态管理和操作接口。
## 消息的生命周期
![消息生命周期](../../assets/images/message-lifecycle.png)
---
# messageBlock.ts 使用指南
该文件定义了用于管理应用程序中所有 `MessageBlock` 实体的 Redux Slice。它使用 Redux Toolkit 的 `createSlice``createEntityAdapter` 来高效地处理规范化的状态,并提供了一系列 actions 和 selectors 用于与消息块数据交互。
## 核心目标
- **状态管理**: 集中管理所有 `MessageBlock` 的状态。`MessageBlock` 代表消息中的不同内容单元(如文本、代码、图片、引用等)。
- **规范化**: 使用 `createEntityAdapter``MessageBlock` 数据存储在规范化的结构中(`{ ids: [], entities: {} }`),这有助于提高性能和简化更新逻辑。
- **可预测性**: 提供明确的 actions 来修改状态,并通过 selectors 安全地访问状态。
## 关键概念
- **Slice (`createSlice`)**: Redux Toolkit 的核心 API用于创建包含 reducer 逻辑、action creators 和初始状态的 Redux 模块。
- **Entity Adapter (`createEntityAdapter`)**: Redux Toolkit 提供的工具,用于简化对规范化数据的 CRUD创建、读取、更新、删除操作。它会自动生成 reducer 函数和 selectors。
- **Selectors**: 用于从 Redux store 中派生和计算数据的函数。Selectors 可以被记忆化memoized以提高性能。
## State 结构
`messageBlocks` slice 的状态结构由 `createEntityAdapter` 定义,大致如下:
```typescript
{
ids: string[]; // 存储所有 MessageBlock ID 的有序列表
entities: { [id: string]: MessageBlock }; // 按 ID 存储 MessageBlock 对象的字典
loadingState: 'idle' | 'loading' | 'succeeded' | 'failed'; // (可选) 其他状态,如加载状态
error: string | null; // (可选) 错误信息
}
```
## Actions
该 slice 导出以下 actions (由 `createSlice``createEntityAdapter` 自动生成或自定义)
- **`upsertOneBlock(payload: MessageBlock)`**:
- 添加一个新的 `MessageBlock` 或更新一个已存在的 `MessageBlock`。如果 payload 中的 `id` 已存在,则执行更新;否则执行插入。
- **`upsertManyBlocks(payload: MessageBlock[])`**:
- 添加或更新多个 `MessageBlock`。常用于批量加载数据(例如,加载一个 Topic 的所有消息块)。
- **`removeOneBlock(payload: string)`**:
- 根据提供的 `id` (payload) 移除单个 `MessageBlock`
- **`removeManyBlocks(payload: string[])`**:
- 根据提供的 `id` 数组 (payload) 移除多个 `MessageBlock`。常用于删除消息或清空 Topic 时清理相关的块。
- **`removeAllBlocks()`**:
- 移除 state 中的所有 `MessageBlock` 实体。
- **`updateOneBlock(payload: { id: string; changes: Partial<MessageBlock> })`**:
- 更新一个已存在的 `MessageBlock``payload` 需要包含块的 `id` 和一个包含要更改的字段的 `changes` 对象。
- **`setMessageBlocksLoading(payload: 'idle' | 'loading')`**:
- (自定义) 设置 `loadingState` 属性。
- **`setMessageBlocksError(payload: string)`**:
- (自定义) 设置 `loadingState``'failed'` 并记录错误信息。
**使用示例 (在 Thunk 或其他 Dispatch 的地方):**
```typescript
import { upsertOneBlock, removeManyBlocks, updateOneBlock } from './messageBlock'
import store from './store' // 假设这是你的 Redux store 实例
// 添加或更新一个块
const newBlock: MessageBlock = {
/* ... block data ... */
}
store.dispatch(upsertOneBlock(newBlock))
// 更新一个块的内容
store.dispatch(updateOneBlock({ id: blockId, changes: { content: 'New content' } }))
// 删除多个块
const blockIdsToRemove = ['id1', 'id2']
store.dispatch(removeManyBlocks(blockIdsToRemove))
```
## Selectors
该 slice 导出由 `createEntityAdapter` 生成的基础 selectors并通过 `messageBlocksSelectors` 对象访问:
- **`messageBlocksSelectors.selectIds(state: RootState): string[]`**: 返回包含所有块 ID 的数组。
- **`messageBlocksSelectors.selectEntities(state: RootState): { [id: string]: MessageBlock }`**: 返回块 ID 到块对象的映射字典。
- **`messageBlocksSelectors.selectAll(state: RootState): MessageBlock[]`**: 返回包含所有块对象的数组。
- **`messageBlocksSelectors.selectTotal(state: RootState): number`**: 返回块的总数。
- **`messageBlocksSelectors.selectById(state: RootState, id: string): MessageBlock | undefined`**: 根据 ID 返回单个块对象,如果找不到则返回 `undefined`
**此外,还提供了一个自定义的、记忆化的 selector**
- **`selectFormattedCitationsByBlockId(state: RootState, blockId: string | undefined): Citation[]`**:
- 接收一个 `blockId`
- 如果该 ID 对应的块是 `CITATION` 类型,则提取并格式化其包含的引用信息(来自网页搜索、知识库等),进行去重和重新编号,最后返回一个 `Citation[]` 数组,用于在 UI 中显示。
- 如果块不存在或类型不匹配,返回空数组 `[]`
- 这个 selector 封装了处理不同引用来源Gemini, OpenAI, OpenRouter, Zhipu 等)的复杂逻辑。
**使用示例 (在 React 组件或 `useSelector` 中):**
```typescript
import { useSelector } from 'react-redux'
import { messageBlocksSelectors, selectFormattedCitationsByBlockId } from './messageBlock'
import type { RootState } from './store'
// 获取所有块
const allBlocks = useSelector(messageBlocksSelectors.selectAll)
// 获取特定 ID 的块
const specificBlock = useSelector((state: RootState) => messageBlocksSelectors.selectById(state, someBlockId))
// 获取特定引用块格式化后的引用列表
const formattedCitations = useSelector((state: RootState) => selectFormattedCitationsByBlockId(state, citationBlockId))
// 在组件中使用引用数据
// {formattedCitations.map(citation => ...)}
```
## 集成
`messageBlock.ts` slice 通常与 `messageThunk.ts` 中的 Thunks 紧密协作。Thunks 负责处理异步逻辑(如 API 调用、数据库操作),并在需要时 dispatch `messageBlock` slice 的 actions 来更新状态。例如,当 `messageThunk` 接收到流式响应时,它会 dispatch `upsertOneBlock``updateOneBlock` 来实时更新对应的 `MessageBlock`。同样,删除消息的 Thunk 会 dispatch `removeManyBlocks`
理解 `messageBlock.ts` 的职责是管理**状态本身**,而 `messageThunk.ts` 负责**触发状态变更**的异步流程,这对于维护清晰的应用架构至关重要。
---
# messageThunk.ts 使用指南
该文件包含用于管理应用程序中消息流、处理助手交互以及同步 Redux 状态与 IndexedDB 数据库的核心 Thunk Action Creators。主要围绕 `Message``MessageBlock` 对象进行操作。
## 核心功能
1. **发送/接收消息**: 处理用户消息的发送,触发助手响应,并流式处理返回的数据,将其解析为不同的 `MessageBlock`
2. **状态管理**: 确保 Redux store 中的消息和消息块状态与 IndexedDB 中的持久化数据保持一致。
3. **消息操作**: 提供删除、重发、重新生成、编辑后重发、追加响应、克隆等消息生命周期管理功能。
4. **Block 处理**: 动态创建、更新和保存各种类型的 `MessageBlock`(文本、思考过程、工具调用、引用、图片、错误、翻译等)。
## 主要 Thunks
以下是一些关键的 Thunk 函数及其用途:
1. **`sendMessage(userMessage, userMessageBlocks, assistant, topicId)`**
- **用途**: 发送一条新的用户消息。
- **流程**:
- 保存用户消息 (`userMessage`) 及其块 (`userMessageBlocks`) 到 Redux 和 DB。
- 检查 `@mentions` 以确定是单模型响应还是多模型响应。
- 创建助手消息(们)的存根 (Stub)。
- 将存根添加到 Redux 和 DB。
- 将核心处理逻辑 `fetchAndProcessAssistantResponseImpl` 添加到该 `topicId` 的队列中以获取实际响应。
- **Block 相关**: 主要处理用户消息的初始 `MessageBlock` 保存。
2. **`fetchAndProcessAssistantResponseImpl(dispatch, getState, topicId, assistant, assistantMessage)`**
- **用途**: (内部函数) 获取并处理单个助手响应的核心逻辑,被 `sendMessage`, `resend...`, `regenerate...`, `append...` 等调用。
- **流程**:
- 设置 Topic 加载状态。
- 准备上下文消息。
- 调用 `fetchChatCompletion` API 服务。
- 使用 `createStreamProcessor` 处理流式响应。
- 通过各种回调 (`onTextChunk`, `onThinkingChunk`, `onToolCallComplete`, `onImageGenerated`, `onError`, `onComplete` 等) 处理不同类型的事件。
- **Block 相关**:
- 根据流事件创建初始 `UNKNOWN` 块。
- 实时创建和更新 `MAIN_TEXT``THINKING` 块,使用 `throttledBlockUpdate``throttledBlockDbUpdate` 进行节流更新。
- 创建 `TOOL`, `CITATION`, `IMAGE`, `ERROR` 等类型的块。
- 在事件完成时(如 `onTextComplete`, `onToolCallComplete`)将块状态标记为 `SUCCESS``ERROR`,并使用 `saveUpdatedBlockToDB` 保存最终状态。
- 使用 `handleBlockTransition` 管理非流式块(如 `TOOL`, `CITATION`)的添加和状态更新。
3. **`loadTopicMessagesThunk(topicId, forceReload)`**
- **用途**: 从数据库加载指定主题的所有消息及其关联的 `MessageBlock`
- **流程**:
- 从 DB 获取 `Topic` 及其 `messages` 列表。
- 根据消息 ID 列表从 DB 获取所有相关的 `MessageBlock`
- 使用 `upsertManyBlocks` 将块更新到 Redux。
- 将消息更新到 Redux。
- **Block 相关**: 负责将持久化的 `MessageBlock` 加载到 Redux 状态。
4. **删除 Thunks**
- `deleteSingleMessageThunk(topicId, messageId)`: 删除单个消息及其所有 `MessageBlock`
- `deleteMessageGroupThunk(topicId, askId)`: 删除一个用户消息及其所有相关的助手响应消息和它们的所有 `MessageBlock`
- `clearTopicMessagesThunk(topicId)`: 清空主题下的所有消息及其所有 `MessageBlock`
- **Block 相关**: 从 Redux 和 DB 中移除指定的 `MessageBlock`
5. **重发/重新生成 Thunks**
- `resendMessageThunk(topicId, userMessageToResend, assistant)`: 重发用户消息。会重置(清空 Block 并标记为 PENDING所有与该用户消息关联的助手响应然后重新请求生成。
- `resendUserMessageWithEditThunk(topicId, originalMessage, mainTextBlockId, editedContent, assistant)`: 用户编辑消息内容后重发。先更新用户消息的 `MAIN_TEXT` 块内容,然后调用 `resendMessageThunk`
- `regenerateAssistantResponseThunk(topicId, assistantMessageToRegenerate, assistant)`: 重新生成单个助手响应。重置该助手消息(清空 Block 并标记为 PENDING然后重新请求生成。
- **Block 相关**: 删除旧的 `MessageBlock`,并在重新生成过程中创建新的 `MessageBlock`
6. **`appendAssistantResponseThunk(topicId, existingAssistantMessageId, newModel, assistant)`**
- **用途**: 在已有的对话上下文中,针对同一个用户问题,使用新选择的模型追加一个新的助手响应。
- **流程**:
- 找到现有助手消息以获取原始 `askId`
- 创建使用 `newModel` 的新助手消息存根(使用相同的 `askId`)。
- 添加新存根到 Redux 和 DB。
-`fetchAndProcessAssistantResponseImpl` 添加到队列以生成新响应。
- **Block 相关**: 为新的助手响应创建全新的 `MessageBlock`
7. **`cloneMessagesToNewTopicThunk(sourceTopicId, branchPointIndex, newTopic)`**
- **用途**: 将源主题的部分消息(及其 Block克隆到一个**已存在**的新主题中。
- **流程**:
- 复制指定索引前的消息。
- 为所有克隆的消息和 Block 生成新的 UUID。
- 正确映射克隆消息之间的 `askId` 关系。
- 复制 `MessageBlock` 内容,更新其 `messageId` 指向新的消息 ID。
- 更新文件引用计数(如果 Block 是文件或图片)。
- 将克隆的消息和 Block 保存到新主题的 Redux 状态和 DB 中。
- **Block 相关**: 创建 `MessageBlock` 的副本,并更新其 ID 和 `messageId`
8. **`initiateTranslationThunk(messageId, topicId, targetLanguage, sourceBlockId?, sourceLanguage?)`**
- **用途**: 为指定消息启动翻译流程,创建一个初始的 `TRANSLATION` 类型的 `MessageBlock`
- **流程**:
- 创建一个状态为 `STREAMING``TranslationMessageBlock`
- 将其添加到 Redux 和 DB。
- 更新原消息的 `blocks` 列表以包含新的翻译块 ID。
- **Block 相关**: 创建并保存一个占位的 `TranslationMessageBlock`。实际翻译内容的获取和填充需要后续步骤。
## 内部机制和注意事项
- **数据库交互**: 通过 `saveMessageAndBlocksToDB`, `updateExistingMessageAndBlocksInDB`, `saveUpdatesToDB`, `saveUpdatedBlockToDB`, `throttledBlockDbUpdate` 等辅助函数与 IndexedDB (`db`) 交互,确保数据持久化。
- **状态同步**: Thunks 负责协调 Redux Store 和 IndexedDB 之间的数据一致性。
- **队列 (`getTopicQueue`)**: 使用 `AsyncQueue` 确保对同一主题的操作(尤其是 API 请求)按顺序执行,避免竞态条件。
- **节流 (`throttle`)**: 对流式响应中频繁的 Block 更新(文本、思考)使用 `lodash.throttle` 优化性能,减少 Redux dispatch 和 DB 写入次数。
- **错误处理**: `fetchAndProcessAssistantResponseImpl` 内的回调函数(特别是 `onError`)处理流处理和 API 调用中可能出现的错误,并创建 `ERROR` 类型的 `MessageBlock`
开发者在使用这些 Thunks 时,通常需要提供 `dispatch`, `getState` (由 Redux Thunk 中间件注入),以及如 `topicId`, `assistant` 配置对象, 相关的 `Message``MessageBlock` 对象/ID 等参数。理解每个 Thunk 的职责和它如何影响消息及块的状态至关重要。
---
# useMessageOperations.ts 使用指南
该文件定义了一个名为 `useMessageOperations` 的自定义 React Hook。这个 Hook 的主要目的是为 React 组件提供一个便捷的接口用于执行与特定主题Topic相关的各种消息操作。它封装了调用 Redux Thunks (`messageThunk.ts`) 和 Actions (`newMessage.ts`, `messageBlock.ts`) 的逻辑,简化了组件与消息数据交互的代码。
## 核心目标
- **封装**: 将复杂的消息操作逻辑(如删除、重发、重新生成、编辑、翻译等)封装在易于使用的函数中。
- **简化**: 让组件可以直接调用这些操作函数,而无需直接与 Redux `dispatch` 或 Thunks 交互。
- **上下文关联**: 所有操作都与传入的 `topic` 对象相关联,确保操作作用于正确的主题。
## 如何使用
在你的 React 函数组件中,导入并调用 `useMessageOperations` Hook并传入当前活动的 `Topic` 对象。
```typescript
import React from 'react';
import { useMessageOperations } from '@renderer/hooks/useMessageOperations';
import type { Topic, Message, Assistant, Model } from '@renderer/types';
interface MyComponentProps {
currentTopic: Topic;
currentAssistant: Assistant;
}
function MyComponent({ currentTopic, currentAssistant }: MyComponentProps) {
const {
deleteMessage,
resendMessage,
regenerateAssistantMessage,
appendAssistantResponse,
getTranslationUpdater,
createTopicBranch,
// ... 其他操作函数
} = useMessageOperations(currentTopic);
const handleDelete = (messageId: string) => {
deleteMessage(messageId);
};
const handleResend = (message: Message) => {
resendMessage(message, currentAssistant);
};
const handleAppend = (existingMsg: Message, newModel: Model) => {
appendAssistantResponse(existingMsg, newModel, currentAssistant);
}
// ... 在组件中使用其他操作函数
return (
<div>
{/* Component UI */}
<button onClick={() => handleDelete('some-message-id')}>Delete Message</button>
{/* ... */}
</div>
);
}
```
## 返回值
`useMessageOperations(topic)` Hook 返回一个包含以下函数和值的对象:
- **`deleteMessage(id: string)`**:
- 删除指定 `id` 的单个消息。
- 内部调用 `deleteSingleMessageThunk`
- **`deleteGroupMessages(askId: string)`**:
- 删除与指定 `askId` 相关联的一组消息(通常是用户提问及其所有助手回答)。
- 内部调用 `deleteMessageGroupThunk`
- **`editMessage(messageId: string, updates: Partial<Message>)`**:
- 更新指定 `messageId` 的消息的部分属性。
- **注意**: 目前主要用于更新 Redux 状态
- 内部调用 `newMessagesActions.updateMessage`
- **`resendMessage(message: Message, assistant: Assistant)`**:
- 重新发送指定的用户消息 (`message`),这将触发其所有关联助手响应的重新生成。
- 内部调用 `resendMessageThunk`
- **`resendUserMessageWithEdit(message: Message, editedContent: string, assistant: Assistant)`**:
- 在用户消息的主要文本块被编辑后,重新发送该消息。
- 会先查找消息的 `MAIN_TEXT` 块 ID然后调用 `resendUserMessageWithEditThunk`
- **`clearTopicMessages(_topicId?: string)`**:
- 清除当前主题(或可选的指定 `_topicId`)下的所有消息。
- 内部调用 `clearTopicMessagesThunk`
- **`createNewContext()`**:
- 发出一个全局事件 (`EVENT_NAMES.NEW_CONTEXT`),通常用于通知 UI 清空显示,准备新的上下文。不直接修改 Redux 状态。
- **`displayCount`**:
- (非操作函数) 从 Redux store 中获取当前的 `displayCount` 值。
- **`pauseMessages()`**:
- 尝试中止当前主题中正在进行的消息生成(状态为 `processing``pending`)。
- 通过查找相关的 `askId` 并调用 `abortCompletion` 来实现。
- 同时会 dispatch `setTopicLoading` action 将加载状态设为 `false`
- **`resumeMessage(message: Message, assistant: Assistant)`**:
- 恢复/重新发送一个用户消息。目前实现为直接调用 `resendMessage`
- **`regenerateAssistantMessage(message: Message, assistant: Assistant)`**:
- 重新生成指定的**助手**消息 (`message`) 的响应。
- 内部调用 `regenerateAssistantResponseThunk`
- **`appendAssistantResponse(existingAssistantMessage: Message, newModel: Model, assistant: Assistant)`**:
- 针对 `existingAssistantMessage` 所回复的**同一用户提问**,使用 `newModel` 追加一个新的助手响应。
- 内部调用 `appendAssistantResponseThunk`
- **`getTranslationUpdater(messageId: string, targetLanguage: string, sourceBlockId?: string, sourceLanguage?: string)`**:
- **用途**: 获取一个用于逐步更新翻译块内容的函数。
- **流程**:
1. 内部调用 `initiateTranslationThunk` 来创建或获取一个 `TRANSLATION` 类型的 `MessageBlock`,并获取其 `blockId`
2. 返回一个**异步更新函数**。
- **返回的更新函数 `(accumulatedText: string, isComplete?: boolean) => void`**:
- 接收累积的翻译文本和完成状态。
- 调用 `updateOneBlock` 更新 Redux 中的翻译块内容和状态 (`STREAMING``SUCCESS`)。
- 调用 `throttledBlockDbUpdate` 将更新(节流地)保存到数据库。
- 如果初始化失败Thunk 返回 `undefined`),则此函数返回 `null`
- **`createTopicBranch(sourceTopicId: string, branchPointIndex: number, newTopic: Topic)`**:
- 创建一个主题分支,将 `sourceTopicId` 主题中 `branchPointIndex` 索引之前的消息克隆到 `newTopic` 中。
- **注意**: `newTopic` 对象必须是调用此函数**之前**已经创建并添加到 Redux 和数据库中的。
- 内部调用 `cloneMessagesToNewTopicThunk`
## 依赖
- **`topic: Topic`**: 必须传入当前操作上下文的主题对象。Hook 返回的操作函数将始终作用于这个主题的 `topic.id`
- **Redux `dispatch`**: Hook 内部使用 `useAppDispatch` 获取 `dispatch` 函数来调用 actions 和 thunks。
## 相关 Hooks
在同一文件中还定义了两个辅助 Hook
- **`useTopicMessages(topic: Topic)`**:
- 使用 `selectMessagesForTopic` selector 来获取并返回指定主题的消息列表。
- **`useTopicLoading(topic: Topic)`**:
- 使用 `selectNewTopicLoading` selector 来获取并返回指定主题的加载状态。
这些 Hook 可以与 `useMessageOperations` 结合使用,方便地在组件中获取消息数据、加载状态,并执行相关操作。

View File

@@ -9,7 +9,6 @@ electronLanguages:
- zh_CN # for macOS
- zh_TW # for macOS
- en # for macOS
- de
directories:
buildResources: build
@@ -18,60 +17,52 @@ protocols:
schemes:
- cherrystudio
files:
- "**/*"
- "!**/{.vscode,.yarn,.yarn-lock,.github,.cursorrules,.prettierrc}"
- "!electron.vite.config.{js,ts,mjs,cjs}}"
- "!.*"
- "!components.json"
- "!**/{.eslintignore,.eslintrc.js,.eslintrc.json,.eslintcache,root.eslint.config.js,eslint.config.js,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,eslint.config.mjs,dev-app-update.yml,CHANGELOG.md,README.md,biome.jsonc}"
- "!**/{.env,.env.*,.npmrc,pnpm-lock.yaml}"
- "!**/{tsconfig.json,tsconfig.tsbuildinfo,tsconfig.node.json,tsconfig.web.json}"
- "!**/{.editorconfig,.jekyll-metadata}"
- "!src"
- "!scripts"
- "!local"
- "!docs"
- "!packages"
- "!.swc"
- "!.bin"
- "!._*"
- "!*.log"
- "!stats.html"
- "!*.md"
- "!**/*.{iml,o,hprof,orig,pyc,pyo,rbc,swp,csproj,sln,xproj}"
- "!**/*.{map,ts,tsx,jsx,less,scss,sass,css.d.ts,d.cts,d.mts,md,markdown,yaml,yml}"
- "!**/{test,tests,__tests__,powered-test,coverage}/**"
- "!**/{example,examples}/**"
- "!**/*.{spec,test}.{js,jsx,ts,tsx}"
- "!**/*.min.*.map"
- "!**/*.d.ts"
- "!**/dist/es6/**"
- "!**/dist/demo/**"
- "!**/amd/**"
- "!**/{.DS_Store,Thumbs.db,thumbs.db,__pycache__}"
- "!**/{LICENSE,license,LICENSE.*,*.LICENSE.txt,NOTICE.txt,README.md,readme.md,CHANGELOG.md}"
- "!node_modules/rollup-plugin-visualizer"
- "!node_modules/js-tiktoken"
- "!node_modules/@tavily/core/node_modules/js-tiktoken"
- "!node_modules/pdf-parse/lib/pdf.js/{v1.9.426,v1.10.88,v2.0.550}"
- "!node_modules/mammoth/{mammoth.browser.js,mammoth.browser.min.js}"
- "!node_modules/selection-hook/prebuilds/**/*" # we rebuild .node, don't use prebuilds
- "!node_modules/selection-hook/node_modules" # we don't need what in the node_modules dir
- "!node_modules/selection-hook/src" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core.js,tesseract-core.wasm,tesseract-core.wasm.js}" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core-lstm.js,tesseract-core-lstm.wasm,tesseract-core-lstm.wasm.js}" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core-simd-lstm.js,tesseract-core-simd-lstm.wasm,tesseract-core-simd-lstm.wasm.js}" # we don't need source files
- "!**/*.{h,iobj,ipdb,tlog,recipe,vcxproj,vcxproj.filters,Makefile,*.Makefile}" # filter .node build files
- '**/*'
- '!**/{.vscode,.yarn,.yarn-lock,.github,.cursorrules,.prettierrc}'
- '!electron.vite.config.{js,ts,mjs,cjs}}'
- '!**/{.eslintignore,.eslintrc.js,.eslintrc.json,.eslintcache,root.eslint.config.js,eslint.config.js,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,eslint.config.mjs,dev-app-update.yml,CHANGELOG.md,README.md}'
- '!**/{.env,.env.*,.npmrc,pnpm-lock.yaml}'
- '!**/{tsconfig.json,tsconfig.tsbuildinfo,tsconfig.node.json,tsconfig.web.json}'
- '!**/{.editorconfig,.jekyll-metadata}'
- '!src'
- '!scripts'
- '!local'
- '!docs'
- '!packages'
- '!.swc'
- '!.bin'
- '!._*'
- '!*.log'
- '!stats.html'
- '!*.md'
- '!**/*.{iml,o,hprof,orig,pyc,pyo,rbc,swp,csproj,sln,xproj}'
- '!**/*.{map,ts,tsx,jsx,less,scss,sass,css.d.ts,d.cts,d.mts,md,markdown,yaml,yml}'
- '!**/{test,tests,__tests__,powered-test,coverage}/**'
- '!**/{example,examples}/**'
- '!**/*.{spec,test}.{js,jsx,ts,tsx}'
- '!**/*.min.*.map'
- '!**/*.d.ts'
- '!**/dist/es6/**'
- '!**/dist/demo/**'
- '!**/amd/**'
- '!**/{.DS_Store,Thumbs.db,thumbs.db,__pycache__}'
- '!**/{LICENSE,license,LICENSE.*,*.LICENSE.txt,NOTICE.txt,README.md,readme.md,CHANGELOG.md}'
- '!node_modules/rollup-plugin-visualizer'
- '!node_modules/js-tiktoken'
- '!node_modules/@tavily/core/node_modules/js-tiktoken'
- '!node_modules/pdf-parse/lib/pdf.js/{v1.9.426,v1.10.88,v2.0.550}'
- '!node_modules/mammoth/{mammoth.browser.js,mammoth.browser.min.js}'
- '!node_modules/selection-hook/prebuilds/**/*' # we rebuild .node, don't use prebuilds
- '!node_modules/selection-hook/node_modules' # we don't need what in the node_modules dir
- '!node_modules/selection-hook/src' # we don't need source files
- '!node_modules/tesseract.js-core/{tesseract-core.js,tesseract-core.wasm,tesseract-core.wasm.js}' # we don't need source files
- '!node_modules/tesseract.js-core/{tesseract-core-lstm.js,tesseract-core-lstm.wasm,tesseract-core-lstm.wasm.js}' # we don't need source files
- '!node_modules/tesseract.js-core/{tesseract-core-simd-lstm.js,tesseract-core-simd-lstm.wasm,tesseract-core-simd-lstm.wasm.js}' # we don't need source files
- '!**/*.{h,iobj,ipdb,tlog,recipe,vcxproj,vcxproj.filters,Makefile,*.Makefile}' # filter .node build files
asarUnpack:
- resources/**
- "**/*.{metal,exp,lib}"
- "node_modules/@img/sharp-libvips-*/**"
# copy from node_modules/claude-code-plugins/plugins to resources/data/claude-code-pluginso
extraResources:
- from: "./node_modules/claude-code-plugins/plugins/"
to: "claude-code-plugins"
- '**/*.{metal,exp,lib}'
- 'node_modules/@img/sharp-libvips-*/**'
win:
executableName: Cherry Studio
artifactName: ${productName}-${version}-${arch}-setup.${ext}
@@ -97,6 +88,7 @@ mac:
entitlementsInherit: build/entitlements.mac.plist
notarize: false
artifactName: ${productName}-${version}-${arch}.${ext}
minimumSystemVersion: '20.1.0' # 最低支持 macOS 11.0
extendInfo:
- NSCameraUsageDescription: Application requests access to the device's camera.
- NSMicrophoneUsageDescription: Application requests access to the device's microphone.
@@ -118,10 +110,6 @@ linux:
StartupWMClass: CherryStudio
mimeTypes:
- x-scheme-handler/cherrystudio
rpm:
# Workaround for electron build issue on rpm package:
# https://github.com/electron/forge/issues/3594
fpm: ["--rpm-rpmbuild-define=_build_id_links none"]
publish:
provider: generic
url: https://releases.cherry-ai.com
@@ -133,109 +121,12 @@ afterSign: scripts/notarize.js
artifactBuildCompleted: scripts/artifact-build-completed.js
releaseInfo:
releaseNotes: |
<!--LANG:en-->
A New Era of Intelligence with Cherry Studio 1.7.1
🔧 性能优化:
- 优化AI服务连接方式提升响应速度和稳定性
- 改进模型列表获取功能,减少不必要的网络请求
- 增强各AI服务商的兼容性和连接可靠性
Today we're releasing Cherry Studio 1.7.1 — our most ambitious update yet, introducing Agent: autonomous AI that thinks, plans, and acts.
For years, AI assistants have been reactive — waiting for your commands, responding to your questions. With Agent, we're changing that. Now, AI can truly work alongside you: understanding complex goals, breaking them into steps, and executing them independently.
This is what we've been building toward. And it's just the beginning.
🤖 Meet Agent
Imagine having a brilliant colleague who never sleeps. Give Agent a goal — write a report, analyze data, refactor code — and watch it work. It reasons through problems, breaks them into steps, calls the right tools, and adapts when things change.
- **Think → Plan → Act**: From goal to execution, fully autonomous
- **Deep Reasoning**: Multi-turn thinking that solves real problems
- **Tool Mastery**: File operations, web search, code execution, and more
- **Skill Plugins**: Extend with custom commands and capabilities
- **You Stay in Control**: Real-time approval for sensitive actions
- **Full Visibility**: Every thought, every decision, fully transparent
🌐 Expanding Ecosystem
- **New Providers**: HuggingFace, Mistral, CherryIN, AI Gateway, Intel OVMS, Didi MCP
- **New Models**: Claude 4.5 Haiku, DeepSeek v3.2, GLM-4.6, Doubao, Ling series
- **MCP Integration**: Alibaba Cloud, ModelScope, Higress, MCP.so, TokenFlux and more
📚 Smarter Knowledge Base
- **OpenMinerU**: Self-hosted document processing
- **Full-Text Search**: Find anything instantly across your notes
- **Enhanced Tool Selection**: Smarter configuration for better AI assistance
📝 Notes, Reimagined
- Full-text search with highlighted results
- AI-powered smart rename
- Export as image
- Auto-wrap for tables
🖼️ Image & OCR
- Intel OVMS painting capabilities
- Intel OpenVINO NPU-accelerated OCR
🌍 Now in 10+ Languages
- Added German support
- Enhanced internationalization
⚡ Faster & More Polished
- Electron 38 upgrade
- New MCP management interface
- Dozens of UI refinements
❤️ Fully Open Source
Commercial restrictions removed. Cherry Studio now follows standard AGPL v3 — free for teams of any size.
The Agent Era is here. We can't wait to see what you'll create.
<!--LANG:zh-CN-->
Cherry Studio 1.7.1:开启智能新纪元
今天,我们正式发布 Cherry Studio 1.7.1 —— 迄今最具雄心的版本,带来全新的 Agent能够自主思考、规划和行动的 AI。
多年来AI 助手一直是被动的——等待你的指令回应你的问题。Agent 改变了这一切。现在AI 能够真正与你并肩工作:理解复杂目标,将其拆解为步骤,并独立执行。
这是我们一直在构建的未来。而这,仅仅是开始。
🤖 认识 Agent
想象一位永不疲倦的得力伙伴。给 Agent 一个目标——撰写报告、分析数据、重构代码——然后看它工作。它会推理问题、拆解步骤、调用工具,并在情况变化时灵活应对。
- **思考 → 规划 → 行动**:从目标到执行,全程自主
- **深度推理**:多轮思考,解决真实问题
- **工具大师**:文件操作、网络搜索、代码执行,样样精通
- **技能插件**:自定义命令,无限扩展
- **你掌控全局**:敏感操作,实时审批
- **完全透明**:每一步思考,每一个决策,清晰可见
🌐 生态持续壮大
- **新增服务商**Hugging Face、Mistral、Perplexity、SophNet、AI Gateway、Cerebras AI
- **新增模型**Gemini 3、Gemini 3 Pro支持图像预览、GPT-5.1、Claude Opus 4.5
- **MCP 集成**百炼、魔搭、Higress、MCP.so、TokenFlux 等平台
📚 更智能的知识库
- **OpenMinerU**:本地自部署文档处理
- **全文搜索**:笔记内容一搜即达
- **增强工具选择**:更智能的配置,更好的 AI 协助
📝 笔记,焕然一新
- 全文搜索,结果高亮
- AI 智能重命名
- 导出为图片
- 表格自动换行
🖼️ 图像与 OCR
- Intel OVMS 绘图能力
- Intel OpenVINO NPU 加速 OCR
🌍 支持 10+ 种语言
- 新增德语支持
- 全面增强国际化
⚡ 更快、更精致
- 升级 Electron 38
- 新的 MCP 管理界面
- 数十处 UI 细节打磨
❤️ 完全开源
商用限制已移除。Cherry Studio 现遵循标准 AGPL v3 协议——任意规模团队均可自由使用。
Agent 纪元已至。期待你的创造。
<!--LANG:END-->
🐛 问题修复:
- 修复部分AI服务商连接失败的问题
- 修复模型配置加载时的潜在错误
- 提升应用整体稳定性和容错能力

View File

@@ -4,10 +4,6 @@ import { defineConfig, externalizeDepsPlugin } from 'electron-vite'
import { resolve } from 'path'
import { visualizer } from 'rollup-plugin-visualizer'
// assert not supported by biome
// import pkg from './package.json' assert { type: 'json' }
import pkg from './package.json'
const visualizerPlugin = (type: 'renderer' | 'main') => {
return process.env[`VISUALIZER_${type.toUpperCase()}`] ? [visualizer({ open: true })] : []
}
@@ -30,14 +26,23 @@ export default defineConfig({
},
build: {
rollupOptions: {
external: ['bufferutil', 'utf-8-validate', 'electron', ...Object.keys(pkg.dependencies)],
external: [
'@libsql/client',
'bufferutil',
'utf-8-validate',
'jsdom',
'electron',
'graceful-fs',
'selection-hook',
'@napi-rs/system-ocr',
'@strongtz/win32-arm64-msvc',
'os-proxy-config',
'sharp',
'turndown'
],
output: {
manualChunks: undefined, // 彻底禁用代码分割 - 返回 null 强制单文件打包
inlineDynamicImports: true // 内联所有动态导入,这是关键配置
},
onwarn(warning, warn) {
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
warn(warning)
}
},
sourcemap: isDev
@@ -66,7 +71,6 @@ export default defineConfig({
},
renderer: {
plugins: [
(async () => (await import('@tailwindcss/vite')).default())(),
react({
tsDecorators: true,
plugins: [
@@ -88,15 +92,13 @@ export default defineConfig({
alias: {
'@renderer': resolve('src/renderer/src'),
'@shared': resolve('packages/shared'),
'@types': resolve('src/renderer/src/types'),
'@logger': resolve('src/renderer/src/services/LoggerService'),
'@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
'@mcp-trace/trace-web': resolve('packages/mcp-trace/trace-web'),
'@cherrystudio/ai-core/provider': resolve('packages/aiCore/src/core/providers'),
'@cherrystudio/ai-core/built-in/plugins': resolve('packages/aiCore/src/core/plugins/built-in'),
'@cherrystudio/ai-core': resolve('packages/aiCore/src'),
'@cherrystudio/extension-table-plus': resolve('packages/extension-table-plus/src'),
'@cherrystudio/ai-sdk-provider': resolve('packages/ai-sdk-provider/src')
'@cherrystudio/extension-table-plus': resolve('packages/extension-table-plus/src')
}
},
optimizeDeps: {
@@ -117,10 +119,6 @@ export default defineConfig({
selectionToolbar: resolve(__dirname, 'src/renderer/selectionToolbar.html'),
selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html'),
traceWindow: resolve(__dirname, 'src/renderer/traceWindow.html')
},
onwarn(warning, warn) {
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
warn(warning)
}
}
},

View File

@@ -1,9 +1,8 @@
import electronConfigPrettier from '@electron-toolkit/eslint-config-prettier'
import tseslint from '@electron-toolkit/eslint-config-ts'
import eslint from '@eslint/js'
import eslintReact from '@eslint-react/eslint-plugin'
import { defineConfig } from 'eslint/config'
import importZod from 'eslint-plugin-import-zod'
import oxlint from 'eslint-plugin-oxlint'
import reactHooks from 'eslint-plugin-react-hooks'
import simpleImportSort from 'eslint-plugin-simple-import-sort'
import unusedImports from 'eslint-plugin-unused-imports'
@@ -11,13 +10,13 @@ import unusedImports from 'eslint-plugin-unused-imports'
export default defineConfig([
eslint.configs.recommended,
tseslint.configs.recommended,
electronConfigPrettier,
eslintReact.configs['recommended-typescript'],
reactHooks.configs['recommended-latest'],
{
plugins: {
'simple-import-sort': simpleImportSort,
'unused-imports': unusedImports,
'import-zod': importZod
'unused-imports': unusedImports
},
rules: {
'@typescript-eslint/explicit-function-return-type': 'off',
@@ -27,7 +26,7 @@ export default defineConfig([
'simple-import-sort/exports': 'error',
'unused-imports/no-unused-imports': 'error',
'@eslint-react/no-prop-types': 'error',
'import-zod/prefer-zod-namespace': 'error'
'prettier/prettier': ['error']
}
},
// Configuration for ensuring compatibility with the original ESLint(8.x) rules
@@ -51,32 +50,10 @@ export default defineConfig([
'@eslint-react/no-children-to-array': 'off'
}
},
{
ignores: [
'node_modules/**',
'build/**',
'dist/**',
'out/**',
'local/**',
'tests/**',
'.yarn/**',
'.gitignore',
'scripts/cloudflare-worker.js',
'src/main/integration/nutstore/sso/lib/**',
'src/main/integration/cherryai/index.js',
'src/main/integration/nutstore/sso/lib/**',
'src/renderer/src/ui/**',
'packages/**/dist'
]
},
// turn off oxlint supported rules.
...oxlint.configs['flat/eslint'],
...oxlint.configs['flat/typescript'],
...oxlint.configs['flat/unicorn'],
{
// LoggerService Custom Rules - only apply to src directory
files: ['src/**/*.{ts,tsx,js,jsx}'],
ignores: ['src/**/__tests__/**', 'src/**/__mocks__/**', 'src/**/*.test.*', 'src/preload/**'],
ignores: ['src/**/__tests__/**', 'src/**/__mocks__/**', 'src/**/*.test.*'],
rules: {
'no-restricted-syntax': [
process.env.PRCI ? 'error' : 'warn',
@@ -135,4 +112,18 @@ export default defineConfig([
'i18n/no-template-in-t': 'warn'
}
},
{
ignores: [
'node_modules/**',
'build/**',
'dist/**',
'out/**',
'local/**',
'.yarn/**',
'.gitignore',
'scripts/cloudflare-worker.js',
'src/main/integration/nutstore/sso/lib/**',
'src/main/integration/cherryin/index.js'
]
}
])

View File

@@ -1,6 +1,6 @@
{
"name": "CherryStudio",
"version": "1.7.1",
"version": "1.6.0-beta.6",
"private": true,
"description": "A powerful AI assistant for producer.",
"main": "./out/main/index.js",
@@ -43,66 +43,45 @@
"release": "node scripts/version.js",
"publish": "yarn build:check && yarn release patch push",
"pulish:artifacts": "cd packages/artifacts && npm publish && cd -",
"agents:generate": "NODE_ENV='development' drizzle-kit generate --config src/main/services/agents/drizzle.config.ts",
"agents:push": "NODE_ENV='development' drizzle-kit push --config src/main/services/agents/drizzle.config.ts",
"agents:studio": "NODE_ENV='development' drizzle-kit studio --config src/main/services/agents/drizzle.config.ts",
"agents:drop": "NODE_ENV='development' drizzle-kit drop --config src/main/services/agents/drizzle.config.ts",
"generate:agents": "yarn workspace @cherry-studio/database agents",
"generate:icons": "electron-icon-builder --input=./build/logo.png --output=build",
"analyze:renderer": "VISUALIZER_RENDERER=true yarn build",
"analyze:main": "VISUALIZER_MAIN=true yarn build",
"typecheck": "concurrently -n \"node,web\" -c \"cyan,magenta\" \"npm run typecheck:node\" \"npm run typecheck:web\"",
"typecheck:node": "tsgo --noEmit -p tsconfig.node.json --composite false",
"typecheck:web": "tsgo --noEmit -p tsconfig.web.json --composite false",
"check:i18n": "dotenv -e .env -- tsx scripts/check-i18n.ts",
"sync:i18n": "dotenv -e .env -- tsx scripts/sync-i18n.ts",
"typecheck:node": "tsc --noEmit -p tsconfig.node.json --composite false",
"typecheck:web": "tsc --noEmit -p tsconfig.web.json --composite false",
"check:i18n": "tsx scripts/check-i18n.ts",
"sync:i18n": "tsx scripts/sync-i18n.ts",
"update:i18n": "dotenv -e .env -- tsx scripts/update-i18n.ts",
"auto:i18n": "dotenv -e .env -- tsx scripts/auto-translate-i18n.ts",
"update:languages": "tsx scripts/update-languages.ts",
"update:upgrade-config": "tsx scripts/update-app-upgrade-config.ts",
"test": "vitest run --silent",
"test:main": "vitest run --project main",
"test:renderer": "vitest run --project renderer",
"test:aicore": "vitest run --project aiCore",
"test:update": "yarn test:renderer --update",
"test:coverage": "vitest run --coverage --silent",
"test:ui": "vitest --ui",
"test:watch": "vitest",
"test:e2e": "yarn playwright test",
"test:lint": "oxlint --deny-warnings && eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --cache",
"test:lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts",
"test:scripts": "vitest scripts",
"lint": "oxlint --fix && eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix --cache && yarn typecheck && yarn check:i18n && yarn format:check",
"format": "biome format --write && biome lint --write",
"format:check": "biome format && biome lint",
"prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky",
"claude": "dotenv -e .env -- claude",
"release:aicore:alpha": "yarn workspace @cherrystudio/ai-core version prerelease --preid alpha --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --tag alpha --access public",
"release:aicore:beta": "yarn workspace @cherrystudio/ai-core version prerelease --preid beta --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --tag beta --access public",
"release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --access public",
"release:ai-sdk-provider": "yarn workspace @cherrystudio/ai-sdk-provider version patch --immediate && yarn workspace @cherrystudio/ai-sdk-provider build && yarn workspace @cherrystudio/ai-sdk-provider npm publish --access public"
"format": "prettier --write .",
"lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix && yarn typecheck && yarn check:i18n",
"prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky"
},
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.53#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.53-4b77f4cf29.patch",
"@libsql/client": "0.14.0",
"@libsql/win32-x64-msvc": "^0.4.7",
"@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
"@paymoapp/electron-shutdown-handler": "^1.1.2",
"@strongtz/win32-arm64-msvc": "^0.4.7",
"emoji-picker-element-data": "^1",
"express": "^5.1.0",
"font-list": "^2.0.0",
"graceful-fs": "^4.2.11",
"gray-matter": "^4.0.3",
"js-yaml": "^4.1.0",
"htmlparser2": "^10.0.0",
"jsdom": "26.1.0",
"node-stream-zip": "^1.15.0",
"officeparser": "^4.2.0",
"os-proxy-config": "^1.1.2",
"qrcode.react": "^4.2.0",
"selection-hook": "^1.0.12",
"selection-hook": "^1.0.11",
"sharp": "^0.34.3",
"socket.io": "^4.8.1",
"swagger-jsdoc": "^6.2.8",
"swagger-ui-express": "^5.0.1",
"tesseract.js": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
"turndown": "7.2.0"
},
@@ -110,25 +89,16 @@
"@agentic/exa": "^7.3.3",
"@agentic/searxng": "^7.3.3",
"@agentic/tavily": "^7.3.3",
"@ai-sdk/amazon-bedrock": "^3.0.61",
"@ai-sdk/anthropic": "^2.0.49",
"@ai-sdk/cerebras": "^1.0.31",
"@ai-sdk/gateway": "^2.0.15",
"@ai-sdk/google": "patch:@ai-sdk/google@npm%3A2.0.43#~/.yarn/patches/@ai-sdk-google-npm-2.0.43-689ed559b3.patch",
"@ai-sdk/google-vertex": "^3.0.79",
"@ai-sdk/huggingface": "^0.0.10",
"@ai-sdk/mistral": "^2.0.24",
"@ai-sdk/openai": "patch:@ai-sdk/openai@npm%3A2.0.72#~/.yarn/patches/@ai-sdk-openai-npm-2.0.72-234e68da87.patch",
"@ai-sdk/perplexity": "^2.0.20",
"@ai-sdk/test-server": "^0.0.1",
"@ai-sdk/amazon-bedrock": "^3.0.0",
"@ai-sdk/google-vertex": "^3.0.0",
"@ai-sdk/mistral": "^2.0.0",
"@ant-design/v5-patch-for-react-19": "^1.0.3",
"@anthropic-ai/sdk": "^0.41.0",
"@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
"@aws-sdk/client-bedrock": "^3.910.0",
"@aws-sdk/client-bedrock-runtime": "^3.910.0",
"@aws-sdk/client-s3": "^3.910.0",
"@biomejs/biome": "2.2.4",
"@cherrystudio/ai-core": "workspace:^1.0.9",
"@aws-sdk/client-bedrock": "^3.840.0",
"@aws-sdk/client-bedrock-runtime": "^3.840.0",
"@aws-sdk/client-s3": "^3.840.0",
"@cherrystudio/ai-core": "workspace:*",
"@cherrystudio/embedjs": "^0.1.31",
"@cherrystudio/embedjs-libsql": "^0.1.31",
"@cherrystudio/embedjs-loader-csv": "^0.1.31",
@@ -142,11 +112,11 @@
"@cherrystudio/embedjs-ollama": "^0.1.31",
"@cherrystudio/embedjs-openai": "^0.1.31",
"@cherrystudio/extension-table-plus": "workspace:^",
"@cherrystudio/openai": "^6.9.0",
"@dnd-kit/core": "^6.3.1",
"@dnd-kit/modifiers": "^9.0.0",
"@dnd-kit/sortable": "^10.0.0",
"@dnd-kit/utilities": "^3.2.2",
"@electron-toolkit/eslint-config-prettier": "^3.0.0",
"@electron-toolkit/eslint-config-ts": "^3.0.0",
"@electron-toolkit/preload": "^3.0.0",
"@electron-toolkit/tsconfig": "^1.0.1",
@@ -158,27 +128,23 @@
"@google/genai": "patch:@google/genai@npm%3A1.0.1#~/.yarn/patches/@google-genai-npm-1.0.1-e26f0f9af7.patch",
"@hello-pangea/dnd": "^18.0.1",
"@kangfenmao/keyv-storage": "^0.1.0",
"@langchain/community": "^1.0.0",
"@langchain/core": "patch:@langchain/core@npm%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
"@langchain/openai": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
"@langchain/community": "^0.3.36",
"@langchain/ollama": "^0.2.1",
"@mistralai/mistralai": "^1.7.5",
"@modelcontextprotocol/sdk": "^1.17.5",
"@modelcontextprotocol/sdk": "^1.17.0",
"@mozilla/readability": "^0.6.0",
"@notionhq/client": "^2.2.15",
"@openrouter/ai-sdk-provider": "^1.2.8",
"@openrouter/ai-sdk-provider": "^1.1.2",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/core": "2.0.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.200.0",
"@opentelemetry/sdk-trace-base": "^2.0.0",
"@opentelemetry/sdk-trace-node": "^2.0.0",
"@opentelemetry/sdk-trace-web": "^2.0.0",
"@opeoginni/github-copilot-openai-compatible": "^0.1.21",
"@playwright/test": "^1.55.1",
"@radix-ui/react-context-menu": "^2.2.16",
"@playwright/test": "^1.52.0",
"@reduxjs/toolkit": "^2.2.5",
"@shikijs/markdown-it": "^3.12.0",
"@swc/plugin-styled-components": "^8.0.4",
"@tailwindcss/vite": "^4.1.13",
"@tanstack/react-query": "^5.85.5",
"@tanstack/react-virtual": "^3.13.12",
"@testing-library/dom": "^10.4.0",
@@ -204,32 +170,20 @@
"@truto/turndown-plugin-gfm": "^1.0.2",
"@tryfabric/martian": "^1.2.4",
"@types/cli-progress": "^3",
"@types/content-type": "^1.1.9",
"@types/cors": "^2.8.19",
"@types/diff": "^7",
"@types/express": "^5",
"@types/fs-extra": "^11",
"@types/he": "^1",
"@types/html-to-text": "^9",
"@types/js-yaml": "^4.0.9",
"@types/lodash": "^4.17.5",
"@types/markdown-it": "^14",
"@types/md5": "^2.3.5",
"@types/mime-types": "^3",
"@types/node": "^22.17.1",
"@types/pako": "^1.0.2",
"@types/react": "^19.2.7",
"@types/react-dom": "^19.2.3",
"@types/react": "^19.0.12",
"@types/react-dom": "^19.0.4",
"@types/react-infinite-scroll-component": "^5.0.0",
"@types/react-transition-group": "^4.4.12",
"@types/react-window": "^1",
"@types/swagger-jsdoc": "^6",
"@types/swagger-ui-express": "^4.1.8",
"@types/tinycolor2": "^1",
"@types/turndown": "^5.0.5",
"@types/uuid": "^10.0.0",
"@types/word-extractor": "^1",
"@typescript/native-preview": "latest",
"@uiw/codemirror-extensions-langs": "^4.25.1",
"@uiw/codemirror-themes-all": "^4.25.1",
"@uiw/react-codemirror": "^4.25.1",
@@ -241,19 +195,15 @@
"@viz-js/lang-dot": "^1.0.5",
"@viz-js/viz": "^3.14.0",
"@xyflow/react": "^12.4.4",
"ai": "^5.0.98",
"ai": "^5.0.29",
"antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
"archiver": "^7.0.1",
"async-mutex": "^0.5.0",
"axios": "^1.7.3",
"browser-image-compression": "^2.0.2",
"chardet": "^2.1.0",
"check-disk-space": "3.4.0",
"cheerio": "^1.1.2",
"chokidar": "^4.0.3",
"claude-code-plugins": "1.0.3",
"cli-progress": "^3.12.0",
"clsx": "^2.1.1",
"code-inspector-plugin": "^0.20.14",
"color": "^5.0.0",
"concurrently": "^9.2.1",
@@ -265,42 +215,33 @@
"docx": "^9.0.2",
"dompurify": "^3.2.6",
"dotenv-cli": "^7.4.2",
"drizzle-kit": "^0.31.4",
"drizzle-orm": "^0.44.5",
"electron": "38.7.0",
"electron-builder": "26.1.0",
"electron": "37.4.0",
"electron-builder": "26.0.15",
"electron-devtools-installer": "^3.2.0",
"electron-reload": "^2.0.0-alpha.1",
"electron-store": "^8.2.0",
"electron-updater": "patch:electron-updater@npm%3A6.7.0#~/.yarn/patches/electron-updater-npm-6.7.0-47b11bb0d4.patch",
"electron-vite": "4.0.1",
"electron-updater": "6.6.4",
"electron-vite": "4.0.0",
"electron-window-state": "^5.0.3",
"emittery": "^1.0.3",
"emoji-picker-element": "^1.22.1",
"epub": "patch:epub@npm%3A1.3.0#~/.yarn/patches/epub-npm-1.3.0-8325494ffe.patch",
"eslint": "^9.22.0",
"eslint-plugin-import-zod": "^1.2.0",
"eslint-plugin-oxlint": "^1.15.0",
"eslint-plugin-react-hooks": "^5.2.0",
"eslint-plugin-simple-import-sort": "^12.1.1",
"eslint-plugin-unused-imports": "^4.1.4",
"express-validator": "^7.2.1",
"fast-diff": "^1.3.0",
"fast-xml-parser": "^5.2.0",
"fetch-socks": "1.3.2",
"framer-motion": "^12.23.12",
"franc-min": "^6.2.0",
"fs-extra": "^11.2.0",
"google-auth-library": "^9.15.1",
"he": "^1.2.0",
"html-tags": "^5.1.0",
"html-to-image": "^1.11.13",
"html-to-text": "^9.0.5",
"htmlparser2": "^10.0.0",
"husky": "^9.1.7",
"i18next": "^23.11.5",
"iconv-lite": "^0.6.3",
"ipaddr.js": "^2.2.0",
"isbinaryfile": "5.0.4",
"jaison": "^2.0.2",
"jest-styled-components": "^7.2.0",
@@ -313,25 +254,24 @@
"markdown-it": "^14.1.0",
"mermaid": "^11.10.1",
"mime": "^4.0.4",
"mime-types": "^3.0.1",
"motion": "^12.10.5",
"notion-helper": "^1.3.22",
"npx-scope-finder": "^1.2.0",
"oxlint": "^1.22.0",
"oxlint-tsgolint": "^0.2.0",
"openai": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
"p-queue": "^8.1.0",
"pdf-lib": "^1.17.1",
"pdf-parse": "^1.1.1",
"playwright": "^1.52.0",
"prettier": "^3.5.3",
"prettier-plugin-sort-json": "^4.1.1",
"proxy-agent": "^6.5.0",
"react": "^19.2.0",
"react-dom": "^19.2.0",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-error-boundary": "^6.0.0",
"react-hotkeys-hook": "^4.6.1",
"react-i18next": "^14.1.2",
"react-infinite-scroll-component": "^6.1.0",
"react-json-view": "^1.21.3",
"react-markdown": "^10.1.0",
"react-player": "^3.3.1",
"react-redux": "^9.1.2",
"react-router": "6",
"react-router-dom": "6",
@@ -351,79 +291,61 @@
"remark-math": "^6.0.0",
"remove-markdown": "^0.6.2",
"rollup-plugin-visualizer": "^5.12.0",
"sass": "^1.88.0",
"shiki": "^3.12.0",
"strict-url-sanitise": "^0.0.1",
"string-width": "^7.2.0",
"striptags": "^3.2.0",
"styled-components": "^6.1.11",
"swr": "^2.3.6",
"tailwind-merge": "^3.3.1",
"tailwindcss": "^4.1.13",
"tar": "^7.4.3",
"tiny-pinyin": "^1.3.2",
"tokenx": "^1.1.0",
"tsx": "^4.20.3",
"turndown-plugin-gfm": "^1.0.2",
"tw-animate-css": "^1.3.8",
"typescript": "~5.8.2",
"typescript": "^5.6.2",
"undici": "6.21.2",
"unified": "^11.0.5",
"uuid": "^13.0.0",
"vite": "npm:rolldown-vite@7.1.5",
"uuid": "^10.0.0",
"vite": "npm:rolldown-vite@latest",
"vitest": "^3.2.4",
"webdav": "^5.8.0",
"winston": "^3.17.0",
"winston-daily-rotate-file": "^5.0.0",
"word-extractor": "^1.0.4",
"y-protocols": "^1.0.6",
"yaml": "^2.8.1",
"yjs": "^13.6.27",
"youtubei.js": "^15.0.1",
"zipread": "^1.3.3",
"zod": "^4.1.5"
"zod": "^3.25.74"
},
"resolutions": {
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"@codemirror/language": "6.11.3",
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"@codemirror/view": "6.38.1",
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"@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch",
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"vite": "npm:rolldown-vite@latest",
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},
"packageManager": "yarn@4.9.1",
"lint-staged": {
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"eslint --fix"
],
"*.{json,yml,yaml,css,html}": [
"biome format --write --no-errors-on-unmatched"
"*.{json,yml,yaml,css,scss,html}": [
"prettier --write"
]
}
}

View File

@@ -1,39 +0,0 @@
# @cherrystudio/ai-sdk-provider
CherryIN provider bundle for the [Vercel AI SDK](https://ai-sdk.dev/).
It exposes the CherryIN OpenAI-compatible entrypoints and dynamically routes Anthropic and Gemini model ids to their CherryIN upstream equivalents.
## Installation
```bash
npm install ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
# or
yarn add ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
```
> **Note**: This package requires peer dependencies `ai`, `@ai-sdk/anthropic`, `@ai-sdk/google`, and `@ai-sdk/openai` to be installed.
## Usage
```ts
import { createCherryIn, cherryIn } from '@cherrystudio/ai-sdk-provider'
const cherryInProvider = createCherryIn({
apiKey: process.env.CHERRYIN_API_KEY,
// optional overrides:
// baseURL: 'https://open.cherryin.net/v1',
// anthropicBaseURL: 'https://open.cherryin.net/anthropic',
// geminiBaseURL: 'https://open.cherryin.net/gemini/v1beta',
})
// Chat models will auto-route based on the model id prefix:
const openaiModel = cherryInProvider.chat('gpt-4o-mini')
const anthropicModel = cherryInProvider.chat('claude-3-5-sonnet-latest')
const geminiModel = cherryInProvider.chat('gemini-2.0-pro-exp')
const { text } = await openaiModel.invoke('Hello CherryIN!')
```
The provider also exposes `completion`, `responses`, `embedding`, `image`, `transcription`, and `speech` helpers aligned with the upstream APIs.
See [AI SDK docs](https://ai-sdk.dev/providers/community-providers/custom-providers) for configuring custom providers.

View File

@@ -1,64 +0,0 @@
{
"name": "@cherrystudio/ai-sdk-provider",
"version": "0.1.3",
"description": "Cherry Studio AI SDK provider bundle with CherryIN routing.",
"keywords": [
"ai-sdk",
"provider",
"cherryin",
"vercel-ai-sdk",
"cherry-studio"
],
"author": "Cherry Studio",
"license": "MIT",
"homepage": "https://github.com/CherryHQ/cherry-studio",
"repository": {
"type": "git",
"url": "git+https://github.com/CherryHQ/cherry-studio.git",
"directory": "packages/ai-sdk-provider"
},
"bugs": {
"url": "https://github.com/CherryHQ/cherry-studio/issues"
},
"type": "module",
"main": "dist/index.cjs",
"module": "dist/index.js",
"types": "dist/index.d.ts",
"files": [
"dist"
],
"scripts": {
"build": "tsdown",
"dev": "tsc -w",
"clean": "rm -rf dist",
"test": "vitest run",
"test:watch": "vitest"
},
"peerDependencies": {
"@ai-sdk/anthropic": "^2.0.29",
"@ai-sdk/google": "^2.0.23",
"@ai-sdk/openai": "^2.0.64",
"ai": "^5.0.26"
},
"dependencies": {
"@ai-sdk/provider": "^2.0.0",
"@ai-sdk/provider-utils": "^3.0.17"
},
"devDependencies": {
"tsdown": "^0.13.3",
"typescript": "^5.8.2",
"vitest": "^3.2.4"
},
"sideEffects": false,
"engines": {
"node": ">=18.0.0"
},
"exports": {
".": {
"types": "./dist/index.d.ts",
"import": "./dist/index.js",
"require": "./dist/index.cjs",
"default": "./dist/index.js"
}
}
}

View File

@@ -1,348 +0,0 @@
import { AnthropicMessagesLanguageModel } from '@ai-sdk/anthropic/internal'
import { GoogleGenerativeAILanguageModel } from '@ai-sdk/google/internal'
import type { OpenAIProviderSettings } from '@ai-sdk/openai'
import {
OpenAIChatLanguageModel,
OpenAICompletionLanguageModel,
OpenAIEmbeddingModel,
OpenAIImageModel,
OpenAIResponsesLanguageModel,
OpenAISpeechModel,
OpenAITranscriptionModel
} from '@ai-sdk/openai/internal'
import {
type EmbeddingModelV2,
type ImageModelV2,
type LanguageModelV2,
type ProviderV2,
type SpeechModelV2,
type TranscriptionModelV2
} from '@ai-sdk/provider'
import type { FetchFunction } from '@ai-sdk/provider-utils'
import { loadApiKey, withoutTrailingSlash } from '@ai-sdk/provider-utils'
export const CHERRYIN_PROVIDER_NAME = 'cherryin' as const
export const DEFAULT_CHERRYIN_BASE_URL = 'https://open.cherryin.net/v1'
export const DEFAULT_CHERRYIN_ANTHROPIC_BASE_URL = 'https://open.cherryin.net/v1'
export const DEFAULT_CHERRYIN_GEMINI_BASE_URL = 'https://open.cherryin.net/v1beta/models'
const ANTHROPIC_PREFIX = /^anthropic\//i
const GEMINI_PREFIX = /^google\//i
// const GEMINI_EXCLUDED_SUFFIXES = ['-nothink', '-search']
type HeaderValue = string | undefined
type HeadersInput = Record<string, HeaderValue> | (() => Record<string, HeaderValue>)
export interface CherryInProviderSettings {
/**
* CherryIN API key.
*
* If omitted, the provider will read the `CHERRYIN_API_KEY` environment variable.
*/
apiKey?: string
/**
* Optional custom fetch implementation.
*/
fetch?: FetchFunction
/**
* Base URL for OpenAI-compatible CherryIN endpoints.
*
* Defaults to `https://open.cherryin.net/v1`.
*/
baseURL?: string
/**
* Base URL for Anthropic-compatible endpoints.
*
* Defaults to `https://open.cherryin.net/anthropic`.
*/
anthropicBaseURL?: string
/**
* Base URL for Gemini-compatible endpoints.
*
* Defaults to `https://open.cherryin.net/gemini/v1beta`.
*/
geminiBaseURL?: string
/**
* Optional static headers applied to every request.
*/
headers?: HeadersInput
/**
* Optional endpoint type to distinguish different endpoint behaviors.
* "image-generation" is also openai endpoint, but specifically for image generation.
*/
endpointType?: 'openai' | 'openai-response' | 'anthropic' | 'gemini' | 'image-generation' | 'jina-rerank'
}
export interface CherryInProvider extends ProviderV2 {
(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
languageModel(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
chat(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
responses(modelId: string): LanguageModelV2
completion(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
embedding(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
textEmbedding(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
textEmbeddingModel(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
image(modelId: string, settings?: OpenAIProviderSettings): ImageModelV2
imageModel(modelId: string, settings?: OpenAIProviderSettings): ImageModelV2
transcription(modelId: string): TranscriptionModelV2
transcriptionModel(modelId: string): TranscriptionModelV2
speech(modelId: string): SpeechModelV2
speechModel(modelId: string): SpeechModelV2
}
const resolveApiKey = (options: CherryInProviderSettings): string =>
loadApiKey({
apiKey: options.apiKey,
environmentVariableName: 'CHERRYIN_API_KEY',
description: 'CherryIN'
})
const isAnthropicModel = (modelId: string) => ANTHROPIC_PREFIX.test(modelId)
const isGeminiModel = (modelId: string) => GEMINI_PREFIX.test(modelId)
const createCustomFetch = (originalFetch?: any) => {
return async (url: string, options: any) => {
if (options?.body) {
try {
const body = JSON.parse(options.body)
if (body.tools && Array.isArray(body.tools) && body.tools.length === 0 && body.tool_choice) {
delete body.tool_choice
options.body = JSON.stringify(body)
}
} catch (error) {
// ignore error
}
}
return originalFetch ? originalFetch(url, options) : fetch(url, options)
}
}
class CherryInOpenAIChatLanguageModel extends OpenAIChatLanguageModel {
constructor(modelId: string, settings: any) {
super(modelId, {
...settings,
fetch: createCustomFetch(settings.fetch)
})
}
}
const resolveConfiguredHeaders = (headers?: HeadersInput): Record<string, HeaderValue> => {
if (typeof headers === 'function') {
return { ...headers() }
}
return headers ? { ...headers } : {}
}
const toBearerToken = (authorization?: string) => (authorization ? authorization.replace(/^Bearer\s+/i, '') : undefined)
const createJsonHeadersGetter = (options: CherryInProviderSettings): (() => Record<string, HeaderValue>) => {
return () => ({
Authorization: `Bearer ${resolveApiKey(options)}`,
'Content-Type': 'application/json',
...resolveConfiguredHeaders(options.headers)
})
}
const createAuthHeadersGetter = (options: CherryInProviderSettings): (() => Record<string, HeaderValue>) => {
return () => ({
Authorization: `Bearer ${resolveApiKey(options)}`,
...resolveConfiguredHeaders(options.headers)
})
}
export const createCherryIn = (options: CherryInProviderSettings = {}): CherryInProvider => {
const {
baseURL = DEFAULT_CHERRYIN_BASE_URL,
anthropicBaseURL = DEFAULT_CHERRYIN_ANTHROPIC_BASE_URL,
geminiBaseURL = DEFAULT_CHERRYIN_GEMINI_BASE_URL,
fetch,
endpointType
} = options
const getJsonHeaders = createJsonHeadersGetter(options)
const getAuthHeaders = createAuthHeadersGetter(options)
const url = ({ path }: { path: string; modelId: string }) => `${withoutTrailingSlash(baseURL)}${path}`
const createAnthropicModel = (modelId: string) =>
new AnthropicMessagesLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.anthropic`,
baseURL: anthropicBaseURL,
headers: () => {
const headers = getJsonHeaders()
const apiKey = toBearerToken(headers.Authorization)
return {
...headers,
'x-api-key': apiKey
}
},
fetch,
supportedUrls: () => ({
'image/*': [/^https?:\/\/.*$/]
})
})
const createGeminiModel = (modelId: string) =>
new GoogleGenerativeAILanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.google`,
baseURL: geminiBaseURL,
headers: () => {
const headers = getJsonHeaders()
const apiKey = toBearerToken(headers.Authorization)
return {
...headers,
'x-goog-api-key': apiKey
}
},
fetch,
generateId: () => `${CHERRYIN_PROVIDER_NAME}-${Date.now()}`,
supportedUrls: () => ({})
})
const createOpenAIChatModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
new CherryInOpenAIChatLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.openai-chat`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
const createChatModelByModelId = (modelId: string, settings: OpenAIProviderSettings = {}) => {
if (isAnthropicModel(modelId)) {
return createAnthropicModel(modelId)
}
if (isGeminiModel(modelId)) {
return createGeminiModel(modelId)
}
return new OpenAIResponsesLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.openai`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
}
const createChatModel = (modelId: string, settings: OpenAIProviderSettings = {}) => {
if (!endpointType) return createChatModelByModelId(modelId, settings)
switch (endpointType) {
case 'anthropic':
return createAnthropicModel(modelId)
case 'gemini':
return createGeminiModel(modelId)
case 'openai':
return createOpenAIChatModel(modelId)
case 'openai-response':
default:
return new OpenAIResponsesLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.openai`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
}
}
const createCompletionModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
new OpenAICompletionLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.completion`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
const createEmbeddingModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
new OpenAIEmbeddingModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.embeddings`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
const createResponsesModel = (modelId: string) =>
new OpenAIResponsesLanguageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.responses`,
url,
headers: () => ({
...getJsonHeaders()
}),
fetch
})
const createImageModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
new OpenAIImageModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.image`,
url,
headers: () => ({
...getJsonHeaders(),
...settings.headers
}),
fetch
})
const createTranscriptionModel = (modelId: string) =>
new OpenAITranscriptionModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.transcription`,
url,
headers: () => ({
...getAuthHeaders()
}),
fetch
})
const createSpeechModel = (modelId: string) =>
new OpenAISpeechModel(modelId, {
provider: `${CHERRYIN_PROVIDER_NAME}.speech`,
url,
headers: () => ({
...getJsonHeaders()
}),
fetch
})
const provider: CherryInProvider = function (modelId: string, settings?: OpenAIProviderSettings) {
if (new.target) {
throw new Error('CherryIN provider function cannot be called with the new keyword.')
}
return createChatModel(modelId, settings)
}
provider.languageModel = createChatModel
provider.chat = createOpenAIChatModel
provider.responses = createResponsesModel
provider.completion = createCompletionModel
provider.embedding = createEmbeddingModel
provider.textEmbedding = createEmbeddingModel
provider.textEmbeddingModel = createEmbeddingModel
provider.image = createImageModel
provider.imageModel = createImageModel
provider.transcription = createTranscriptionModel
provider.transcriptionModel = createTranscriptionModel
provider.speech = createSpeechModel
provider.speechModel = createSpeechModel
return provider
}
export const cherryIn = createCherryIn()

View File

@@ -1 +0,0 @@
export * from './cherryin-provider'

View File

@@ -1,19 +0,0 @@
{
"compilerOptions": {
"allowSyntheticDefaultImports": true,
"declaration": true,
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"module": "ESNext",
"moduleResolution": "bundler",
"noEmitOnError": false,
"outDir": "./dist",
"resolveJsonModule": true,
"rootDir": "./src",
"skipLibCheck": true,
"strict": true,
"target": "ES2020"
},
"exclude": ["node_modules", "dist"],
"include": ["src/**/*"]
}

View File

@@ -1,12 +0,0 @@
import { defineConfig } from 'tsdown'
export default defineConfig({
entry: {
index: 'src/index.ts'
},
outDir: 'dist',
format: ['esm', 'cjs'],
clean: true,
dts: true,
tsconfig: 'tsconfig.json'
})

View File

@@ -71,7 +71,7 @@ Cherry Studio AI Core 是一个基于 Vercel AI SDK 的统一 AI Provider 接口
## 安装
```bash
npm install @cherrystudio/ai-core ai @ai-sdk/google @ai-sdk/openai
npm install @cherrystudio/ai-core ai
```
### React Native

View File

@@ -0,0 +1,103 @@
/**
* Hub Provider 使用示例
*
* 演示如何使用简化后的Hub Provider功能来路由到多个底层provider
*/
import { createHubProvider, initializeProvider, providerRegistry } from '../src/index'
async function demonstrateHubProvider() {
try {
// 1. 初始化底层providers
console.log('📦 初始化底层providers...')
initializeProvider('openai', {
apiKey: process.env.OPENAI_API_KEY || 'sk-test-key'
})
initializeProvider('anthropic', {
apiKey: process.env.ANTHROPIC_API_KEY || 'sk-ant-test-key'
})
// 2. 创建Hub Provider自动包含所有已初始化的providers
console.log('🌐 创建Hub Provider...')
const aihubmixProvider = createHubProvider({
hubId: 'aihubmix',
debug: true
})
// 3. 注册Hub Provider
providerRegistry.registerProvider('aihubmix', aihubmixProvider)
console.log('✅ Hub Provider "aihubmix" 注册成功')
// 4. 使用Hub Provider访问不同的模型
console.log('\n🚀 使用Hub模型...')
// 通过Hub路由到OpenAI
const openaiModel = providerRegistry.languageModel('aihubmix:openai:gpt-4')
console.log('✓ OpenAI模型已获取:', openaiModel.modelId)
// 通过Hub路由到Anthropic
const anthropicModel = providerRegistry.languageModel('aihubmix:anthropic:claude-3.5-sonnet')
console.log('✓ Anthropic模型已获取:', anthropicModel.modelId)
// 5. 演示错误处理
console.log('\n❌ 演示错误处理...')
try {
// 尝试访问未初始化的provider
providerRegistry.languageModel('aihubmix:google:gemini-pro')
} catch (error) {
console.log('预期错误:', error.message)
}
try {
// 尝试使用错误的模型ID格式
providerRegistry.languageModel('aihubmix:invalid-format')
} catch (error) {
console.log('预期错误:', error.message)
}
// 6. 多个Hub Provider示例
console.log('\n🔄 创建多个Hub Provider...')
const localHubProvider = createHubProvider({
hubId: 'local-ai'
})
providerRegistry.registerProvider('local-ai', localHubProvider)
console.log('✅ Hub Provider "local-ai" 注册成功')
console.log('\n🎉 Hub Provider演示完成')
} catch (error) {
console.error('💥 演示过程中发生错误:', error)
}
}
// 演示简化的使用方式
function simplifiedUsageExample() {
console.log('\n📝 简化使用示例:')
console.log(`
// 1. 初始化providers
initializeProvider('openai', { apiKey: 'sk-xxx' })
initializeProvider('anthropic', { apiKey: 'sk-ant-xxx' })
// 2. 创建并注册Hub Provider
const hubProvider = createHubProvider({ hubId: 'aihubmix' })
providerRegistry.registerProvider('aihubmix', hubProvider)
// 3. 直接使用
const model1 = providerRegistry.languageModel('aihubmix:openai:gpt-4')
const model2 = providerRegistry.languageModel('aihubmix:anthropic:claude-3.5-sonnet')
`)
}
// 运行演示
if (require.main === module) {
demonstrateHubProvider()
simplifiedUsageExample()
}
export { demonstrateHubProvider, simplifiedUsageExample }

View File

@@ -0,0 +1,167 @@
/**
* Image Generation Example
* 演示如何使用 aiCore 的文生图功能
*/
import { createExecutor, generateImage } from '../src/index'
async function main() {
// 方式1: 使用执行器实例
console.log('📸 创建 OpenAI 图像生成执行器...')
const executor = createExecutor('openai', {
apiKey: process.env.OPENAI_API_KEY!
})
try {
console.log('🎨 使用执行器生成图像...')
const result1 = await executor.generateImage('dall-e-3', {
prompt: 'A futuristic cityscape at sunset with flying cars',
size: '1024x1024',
n: 1
})
console.log('✅ 图像生成成功!')
console.log('📊 结果:', {
imagesCount: result1.images.length,
mediaType: result1.image.mediaType,
hasBase64: !!result1.image.base64,
providerMetadata: result1.providerMetadata
})
} catch (error) {
console.error('❌ 执行器生成失败:', error)
}
// 方式2: 使用直接调用 API
try {
console.log('🎨 使用直接 API 生成图像...')
const result2 = await generateImage('openai', { apiKey: process.env.OPENAI_API_KEY! }, 'dall-e-3', {
prompt: 'A magical forest with glowing mushrooms and fairy lights',
aspectRatio: '16:9',
providerOptions: {
openai: {
quality: 'hd',
style: 'vivid'
}
}
})
console.log('✅ 直接 API 生成成功!')
console.log('📊 结果:', {
imagesCount: result2.images.length,
mediaType: result2.image.mediaType,
hasBase64: !!result2.image.base64
})
} catch (error) {
console.error('❌ 直接 API 生成失败:', error)
}
// 方式3: 支持其他提供商 (Google Imagen)
if (process.env.GOOGLE_API_KEY) {
try {
console.log('🎨 使用 Google Imagen 生成图像...')
const googleExecutor = createExecutor('google', {
apiKey: process.env.GOOGLE_API_KEY!
})
const result3 = await googleExecutor.generateImage('imagen-3.0-generate-002', {
prompt: 'A serene mountain lake at dawn with mist rising from the water',
aspectRatio: '1:1'
})
console.log('✅ Google Imagen 生成成功!')
console.log('📊 结果:', {
imagesCount: result3.images.length,
mediaType: result3.image.mediaType,
hasBase64: !!result3.image.base64
})
} catch (error) {
console.error('❌ Google Imagen 生成失败:', error)
}
}
// 方式4: 支持插件系统
const pluginExample = async () => {
console.log('🔌 演示插件系统...')
// 创建一个示例插件,用于修改提示词
const promptEnhancerPlugin = {
name: 'prompt-enhancer',
transformParams: async (params: any) => {
console.log('🔧 插件: 增强提示词...')
return {
...params,
prompt: `${params.prompt}, highly detailed, cinematic lighting, 4K resolution`
}
},
transformResult: async (result: any) => {
console.log('🔧 插件: 处理结果...')
return {
...result,
enhanced: true
}
}
}
const executorWithPlugin = createExecutor(
'openai',
{
apiKey: process.env.OPENAI_API_KEY!
},
[promptEnhancerPlugin]
)
try {
const result4 = await executorWithPlugin.generateImage('dall-e-3', {
prompt: 'A cute robot playing in a garden'
})
console.log('✅ 插件系统生成成功!')
console.log('📊 结果:', {
imagesCount: result4.images.length,
enhanced: (result4 as any).enhanced,
mediaType: result4.image.mediaType
})
} catch (error) {
console.error('❌ 插件系统生成失败:', error)
}
}
await pluginExample()
}
// 错误处理演示
async function errorHandlingExample() {
console.log('⚠️ 演示错误处理...')
try {
const executor = createExecutor('openai', {
apiKey: 'invalid-key'
})
await executor.generateImage('dall-e-3', {
prompt: 'Test image'
})
} catch (error: any) {
console.log('✅ 成功捕获错误:', error.constructor.name)
console.log('📋 错误信息:', error.message)
console.log('🏷️ 提供商ID:', error.providerId)
console.log('🏷️ 模型ID:', error.modelId)
}
}
// 运行示例
if (require.main === module) {
main()
.then(() => {
console.log('🎉 所有示例完成!')
return errorHandlingExample()
})
.then(() => {
console.log('🎯 示例程序结束')
process.exit(0)
})
.catch((error) => {
console.error('💥 程序执行出错:', error)
process.exit(1)
})
}

View File

@@ -1,6 +1,6 @@
{
"name": "@cherrystudio/ai-core",
"version": "1.0.9",
"version": "1.0.0-alpha.11",
"description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
"main": "dist/index.js",
"module": "dist/index.mjs",
@@ -33,20 +33,19 @@
},
"homepage": "https://github.com/CherryHQ/cherry-studio#readme",
"peerDependencies": {
"@ai-sdk/google": "^2.0.36",
"@ai-sdk/openai": "^2.0.64",
"@cherrystudio/ai-sdk-provider": "^0.1.3",
"ai": "^5.0.26"
},
"dependencies": {
"@ai-sdk/anthropic": "^2.0.49",
"@ai-sdk/azure": "^2.0.74",
"@ai-sdk/deepseek": "^1.0.29",
"@ai-sdk/openai-compatible": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch",
"@ai-sdk/anthropic": "^2.0.5",
"@ai-sdk/azure": "^2.0.16",
"@ai-sdk/deepseek": "^1.0.9",
"@ai-sdk/google": "^2.0.7",
"@ai-sdk/openai": "^2.0.19",
"@ai-sdk/openai-compatible": "^1.0.9",
"@ai-sdk/provider": "^2.0.0",
"@ai-sdk/provider-utils": "^3.0.17",
"@ai-sdk/xai": "^2.0.36",
"zod": "^4.1.5"
"@ai-sdk/provider-utils": "^3.0.4",
"@ai-sdk/xai": "^2.0.9",
"zod": "^3.25.0"
},
"devDependencies": {
"tsdown": "^0.12.9",

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@@ -1,180 +0,0 @@
/**
* Mock Provider Instances
* Provides mock implementations for all supported AI providers
*/
import type { ImageModelV2, LanguageModelV2 } from '@ai-sdk/provider'
import { vi } from 'vitest'
/**
* Creates a mock language model with customizable behavior
*/
export function createMockLanguageModel(overrides?: Partial<LanguageModelV2>): LanguageModelV2 {
return {
specificationVersion: 'v1',
provider: 'mock-provider',
modelId: 'mock-model',
defaultObjectGenerationMode: 'tool',
doGenerate: vi.fn().mockResolvedValue({
text: 'Mock response text',
finishReason: 'stop',
usage: {
promptTokens: 10,
completionTokens: 20,
totalTokens: 30
},
rawCall: { rawPrompt: null, rawSettings: {} },
rawResponse: { headers: {} },
warnings: []
}),
doStream: vi.fn().mockReturnValue({
stream: (async function* () {
yield {
type: 'text-delta',
textDelta: 'Mock '
}
yield {
type: 'text-delta',
textDelta: 'streaming '
}
yield {
type: 'text-delta',
textDelta: 'response'
}
yield {
type: 'finish',
finishReason: 'stop',
usage: {
promptTokens: 10,
completionTokens: 15,
totalTokens: 25
}
}
})(),
rawCall: { rawPrompt: null, rawSettings: {} },
rawResponse: { headers: {} },
warnings: []
}),
...overrides
} as LanguageModelV2
}
/**
* Creates a mock image model with customizable behavior
*/
export function createMockImageModel(overrides?: Partial<ImageModelV2>): ImageModelV2 {
return {
specificationVersion: 'v2',
provider: 'mock-provider',
modelId: 'mock-image-model',
doGenerate: vi.fn().mockResolvedValue({
images: [
{
base64: 'mock-base64-image-data',
uint8Array: new Uint8Array([1, 2, 3, 4, 5]),
mimeType: 'image/png'
}
],
warnings: []
}),
...overrides
} as ImageModelV2
}
/**
* Mock provider configurations for testing
*/
export const mockProviderConfigs = {
openai: {
apiKey: 'sk-test-openai-key-123456789',
baseURL: 'https://api.openai.com/v1',
organization: 'test-org'
},
anthropic: {
apiKey: 'sk-ant-test-key-123456789',
baseURL: 'https://api.anthropic.com'
},
google: {
apiKey: 'test-google-api-key-123456789',
baseURL: 'https://generativelanguage.googleapis.com/v1'
},
xai: {
apiKey: 'xai-test-key-123456789',
baseURL: 'https://api.x.ai/v1'
},
azure: {
apiKey: 'test-azure-key-123456789',
resourceName: 'test-resource',
deployment: 'test-deployment'
},
deepseek: {
apiKey: 'sk-test-deepseek-key-123456789',
baseURL: 'https://api.deepseek.com/v1'
},
openrouter: {
apiKey: 'sk-or-test-key-123456789',
baseURL: 'https://openrouter.ai/api/v1'
},
huggingface: {
apiKey: 'hf_test_key_123456789',
baseURL: 'https://api-inference.huggingface.co'
},
'openai-compatible': {
apiKey: 'test-compatible-key-123456789',
baseURL: 'https://api.example.com/v1',
name: 'test-provider'
},
'openai-chat': {
apiKey: 'sk-test-chat-key-123456789',
baseURL: 'https://api.openai.com/v1'
}
} as const
/**
* Mock provider instances for testing
*/
export const mockProviderInstances = {
openai: {
name: 'openai-mock',
languageModel: createMockLanguageModel({ provider: 'openai', modelId: 'gpt-4' }),
imageModel: createMockImageModel({ provider: 'openai', modelId: 'dall-e-3' })
},
anthropic: {
name: 'anthropic-mock',
languageModel: createMockLanguageModel({ provider: 'anthropic', modelId: 'claude-3-5-sonnet-20241022' })
},
google: {
name: 'google-mock',
languageModel: createMockLanguageModel({ provider: 'google', modelId: 'gemini-2.0-flash-exp' }),
imageModel: createMockImageModel({ provider: 'google', modelId: 'imagen-3.0-generate-001' })
},
xai: {
name: 'xai-mock',
languageModel: createMockLanguageModel({ provider: 'xai', modelId: 'grok-2-latest' }),
imageModel: createMockImageModel({ provider: 'xai', modelId: 'grok-2-image-latest' })
},
deepseek: {
name: 'deepseek-mock',
languageModel: createMockLanguageModel({ provider: 'deepseek', modelId: 'deepseek-chat' })
}
}
export type ProviderId = keyof typeof mockProviderConfigs

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@@ -1,238 +0,0 @@
/**
* Mock Responses
* Provides realistic mock responses for all provider types
*/
import type { ModelMessage, Tool } from 'ai'
import { jsonSchema } from 'ai'
/**
* Standard test messages for all scenarios
*/
export const testMessages: Record<string, ModelMessage[]> = {
simple: [{ role: 'user' as const, content: 'Hello, how are you?' }],
conversation: [
{ role: 'user' as const, content: 'What is the capital of France?' },
{ role: 'assistant' as const, content: 'The capital of France is Paris.' },
{ role: 'user' as const, content: 'What is its population?' }
],
withSystem: [
{ role: 'system' as const, content: 'You are a helpful assistant that provides concise answers.' },
{ role: 'user' as const, content: 'Explain quantum computing in one sentence.' }
],
withImages: [
{
role: 'user' as const,
content: [
{ type: 'text' as const, text: 'What is in this image?' },
{
type: 'image' as const,
image:
'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=='
}
]
}
],
toolUse: [{ role: 'user' as const, content: 'What is the weather in San Francisco?' }],
multiTurn: [
{ role: 'user' as const, content: 'Can you help me with a math problem?' },
{ role: 'assistant' as const, content: 'Of course! What math problem would you like help with?' },
{ role: 'user' as const, content: 'What is 15 * 23?' },
{ role: 'assistant' as const, content: '15 * 23 = 345' },
{ role: 'user' as const, content: 'Now divide that by 5' }
]
}
/**
* Standard test tools for tool calling scenarios
*/
export const testTools: Record<string, Tool> = {
getWeather: {
description: 'Get the current weather in a given location',
inputSchema: jsonSchema({
type: 'object',
properties: {
location: {
type: 'string',
description: 'The city and state, e.g. San Francisco, CA'
},
unit: {
type: 'string',
enum: ['celsius', 'fahrenheit'],
description: 'The temperature unit to use'
}
},
required: ['location']
}),
execute: async ({ location, unit = 'fahrenheit' }) => {
return {
location,
temperature: unit === 'celsius' ? 22 : 72,
unit,
condition: 'sunny'
}
}
},
calculate: {
description: 'Perform a mathematical calculation',
inputSchema: jsonSchema({
type: 'object',
properties: {
operation: {
type: 'string',
enum: ['add', 'subtract', 'multiply', 'divide'],
description: 'The operation to perform'
},
a: {
type: 'number',
description: 'The first number'
},
b: {
type: 'number',
description: 'The second number'
}
},
required: ['operation', 'a', 'b']
}),
execute: async ({ operation, a, b }) => {
const operations = {
add: (x: number, y: number) => x + y,
subtract: (x: number, y: number) => x - y,
multiply: (x: number, y: number) => x * y,
divide: (x: number, y: number) => x / y
}
return { result: operations[operation as keyof typeof operations](a, b) }
}
},
searchDatabase: {
description: 'Search for information in a database',
inputSchema: jsonSchema({
type: 'object',
properties: {
query: {
type: 'string',
description: 'The search query'
},
limit: {
type: 'number',
description: 'Maximum number of results to return',
default: 10
}
},
required: ['query']
}),
execute: async ({ query, limit = 10 }) => {
return {
results: [
{ id: 1, title: `Result 1 for ${query}`, relevance: 0.95 },
{ id: 2, title: `Result 2 for ${query}`, relevance: 0.87 }
].slice(0, limit)
}
}
}
}
/**
* Mock complete responses for non-streaming scenarios
* Note: AI SDK v5 uses inputTokens/outputTokens instead of promptTokens/completionTokens
*/
export const mockCompleteResponses = {
simple: {
text: 'This is a simple response.',
finishReason: 'stop' as const,
usage: {
inputTokens: 15,
outputTokens: 8,
totalTokens: 23
}
},
withToolCalls: {
text: 'I will check the weather for you.',
toolCalls: [
{
toolCallId: 'call_456',
toolName: 'getWeather',
args: { location: 'New York, NY', unit: 'celsius' }
}
],
finishReason: 'tool-calls' as const,
usage: {
inputTokens: 25,
outputTokens: 12,
totalTokens: 37
}
},
withWarnings: {
text: 'Response with warnings.',
finishReason: 'stop' as const,
usage: {
inputTokens: 10,
outputTokens: 5,
totalTokens: 15
},
warnings: [
{
type: 'unsupported-setting' as const,
setting: 'temperature',
details: 'Temperature parameter not supported for this model'
}
]
}
}
/**
* Mock image generation responses
*/
export const mockImageResponses = {
single: {
image: {
base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
uint8Array: new Uint8Array([137, 80, 78, 71, 13, 10, 26, 10, 0, 0, 0, 13, 73, 72, 68, 82]),
mimeType: 'image/png' as const
},
warnings: []
},
multiple: {
images: [
{
base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
uint8Array: new Uint8Array([137, 80, 78, 71]),
mimeType: 'image/png' as const
},
{
base64: 'iVBORw0KGgoAAAANSUhEUgAAAAIAAAACCAYAAABytg0kAAAAEklEQVR42mNk+M9QzwAEjDAGACCKAgdZ9zImAAAAAElFTkSuQmCC',
uint8Array: new Uint8Array([137, 80, 78, 71]),
mimeType: 'image/png' as const
}
],
warnings: []
},
withProviderMetadata: {
image: {
base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
uint8Array: new Uint8Array([137, 80, 78, 71]),
mimeType: 'image/png' as const
},
providerMetadata: {
openai: {
images: [
{
revisedPrompt: 'A detailed and enhanced version of the original prompt'
}
]
}
},
warnings: []
}
}

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