* feat: implement maximum backups feature in WebDAV settings
- Add maximum backups feature to WebDAV settings
Signed-off-by: ysicing <i@ysicing.me>
* refactor: refactor backup file management for device-specific handling
- Change the order of hostname and device type in the backup file name
- Add filtering for backup files to manage device-specific backups
- Update logic to delete the oldest backup files based on the specific device count
Signed-off-by: ysicing <i@ysicing.me>
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Signed-off-by: ysicing <i@ysicing.me>
* feat(Messages): enhance file upload display with styled component for better UI
* feat(Inputbar): add file name truncation for better display in attachment preview
* feat(DataSettings): replace Typography.Text with PathText for improved path display and add text truncation styling
* feat(DataSettings): refactor path display with PathRow component for better layout and styling
* refactor(GeminiService): migrate to new Google GenAI SDK and update file handling methods
- Updated import statements to use the new Google GenAI SDK.
- Refactored file upload, retrieval, and deletion methods to align with the new SDK's API.
- Adjusted type definitions and response handling for improved type safety and clarity.
- Enhanced file listing and processing logic to utilize async iteration for better performance.
* refactor(GeminiProvider): update message handling and integrate abort signal support
- Refactored message content handling to align with updated type definitions, ensuring consistent use of Content type.
- Enhanced abort signal management for chat requests, allowing for better control over ongoing operations.
- Improved message processing logic to streamline user message history handling and response generation.
- Adjusted type definitions for message contents to enhance type safety and clarity.
* refactor(electron.vite.config): replace direct import of Vite React plugin with dynamic import
* fix(Gemini): clean up unused methods and improve property access
* fix(typecheck): update color properties to use CSS variables
* feat: 修改画图逻辑
* fix: import viteReact
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Co-authored-by: eeee0717 <chentao020717Work@outlook.com>
* feat: implement OAuth client provider and lockfile management
* feat: implement OAuth callback server and refactor authentication flow
* fix(McpService): restrict command handling to 'npx' for improved clarity
* refactor: make callbackPort optional in OAuthProviderOptions and clean up MCPService
* refactor: restructure OAuth handling by creating separate callback and provider classes, and remove unused utility functions
* feat(MessageContent): 添加引用内容折叠功能，优化用户界面交互
* feat(Citations): add hideTitle prop to control title visibility in CitationsList
* feat(Messages): add message update functionality and manage UI state for citations and web search
* fix: web search citation
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Co-authored-by: 自由的世界人 <3196812536@qq.com>
* feat(model): add ModelCard schema and related types for input/output capabilities
* refactor(model): make limits and price properties optional in ModelSchema
* feat(model): add textGeneration capability to ModelSchema
* feat: integrate AoxisProxy for HTTP requests in rerankers and CopilotService
- Replaced direct axios calls with aoxisProxy in JinaReranker, SiliconFlowReranker, and VoyageReranker to utilize proxy settings.
- Introduced AoxisProxy service to manage axios instances with proxy configurations.
- Updated CopilotService to use aoxisProxy for API requests, ensuring consistent proxy handling across services.
* refactor(AxiosProxy): improve proxy handling and initialization logic
* fix tyop
* fix tyop
* Add support for custom HTTP headers in MCP servers
Allow users to configure custom HTTP headers for SSE and streamable HTTP
MCP server connections. This enables authentication and other API
requirements.
* Add custom headers i18n strings
* Add typed MCPCallToolResponse interface and format converters
The commit introduces a structured response type for MCP tool calls with
proper handling for different content types (text, image, audio). It adds
provider-specific converter functions to transform tool responses into
the appropriate message format for OpenAI, Anthropic, and Gemini.
* Support vision models in tool call responses
Add isVisionModel parameter to tool response formatters to conditionally
handle content based on model capabilities. Non-vision models now receive
JSON stringified content, while vision models get proper multimedia parts.
