- Renamed the input parameter from "pattern" to "patterns" to reflect that multiple text patterns can be provided.
- Updated the schema definition and input structure accordingly to ensure consistency in handling multiple patterns.
- Enhanced error logging to specify "patterns" when no valid input is provided, improving clarity for debugging.
These changes improve the functionality of the grep_chunks tool by allowing users to search for multiple patterns simultaneously.
- Implemented a new API endpoint to clear all messages in a session, enhancing session management capabilities.
- Updated the frontend to include a clear messages option in the session menu, allowing users to easily remove chat history.
- Added localization support for the new feature in English, Korean, Russian, and Chinese, improving accessibility for a broader audience.
- Enhanced the chat view to handle session message clearing events, ensuring a responsive user experience.
These changes significantly improve the user experience by providing a straightforward method to manage session messages effectively.
- Refactored the chat model ID selection process to prioritize the request's summaryModelID, followed by the custom agent's ModelID, and finally a fallback to the default model selection.
- Improved logging to provide clearer insights into which model ID is being used during the selection process.
- Removed the deprecated selectChatModelIDWithOverride function to streamline the codebase and enhance maintainability.
These changes improve the flexibility and clarity of chat model selection, ensuring a more robust session management experience.
- Added new background service worker to manage API requests and context menu interactions.
- Implemented a new HTML structure for clips and a JavaScript file to handle clip rendering and user interactions.
- Introduced a content script for capturing and processing selected content on web pages, enabling users to save clips easily.
- Enhanced the popup interface for Quick Notes with improved navigation and user experience.
- Updated the manifest to support new features and permissions for the extension.
These changes significantly enhance the functionality of the Quick Notes extension, providing users with a more robust and interactive experience for managing web content.
- Added support for image attachments in agent Q&A requests, enabling multimodal chat capabilities.
- Introduced a new UserInfo struct to represent user information in API responses, improving user data management.
- Updated existing request structures to include image handling, enhancing the overall functionality of the chat system.
These changes significantly improve the application's ability to handle multimodal interactions and manage user data effectively.
- Added support for updating the description field in knowledge records, improving the detail and context of knowledge entries.
- Refactored knowledge base update logic to ensure configuration updates are only applied when provided, enhancing robustness and preventing unnecessary overwrites.
- Modified the request structure to make the configuration field optional, allowing for more flexible updates.
These changes improve the knowledge management system by allowing for more comprehensive updates and better handling of configuration data.
- Updated configuration to support three tasks in the assistant's prompt: rewriting questions, classifying intent for knowledge base retrieval, and analyzing attached images.
- Implemented backend functionality to update image descriptions in user messages, ensuring that image context is preserved across conversation history.
- Modified session handling to return complete session data after updates, improving the accuracy of session information provided to users.
- Enhanced the chat pipeline to include detailed image descriptions and manage image captions effectively, enriching user interactions with visual content.
These improvements significantly enhance the application's multimodal capabilities, providing a more robust and user-friendly experience when handling image-based queries.
- Updated configuration to improve handling of multimodal queries, including clearer guidelines for when to use [NO_SEARCH] in responses.
- Enhanced the user interface to include dedicated sections for multimodal configuration, allowing users to manage image uploads and related settings more effectively.
- Added localization support for new multimodal features in both English and Chinese, improving accessibility for a broader audience.
- Implemented backend changes to support image analysis and extraction of OCR text, enriching the interaction experience for users.
These enhancements significantly improve the application's capability to process and respond to multimodal queries, fostering a more interactive and user-friendly environment.
- Added functionality for image uploads in chat, allowing users to attach images for multimodal Q&A.
- Enhanced the input field to handle image selection via drag-and-drop and paste, with validation for file types and sizes.
- Updated the backend to process images alongside text queries, including support for image analysis.
- Introduced new UI components for image previews and management, improving user interaction with uploaded content.
- Added localization strings for image upload features and error messages, enhancing accessibility for users in multiple languages.
These changes significantly improve the chat experience by enabling users to incorporate images into their queries, facilitating richer interactions and responses.
- Removed unnecessary fullscreen event listeners and streamlined the fullscreen toggle logic in the document preview component.
- Updated the CSS for fullscreen mode to enhance layout and responsiveness for various document types, including images and presentations.
- Adjusted the structure of the preview container to eliminate reliance on a ref, improving code clarity and maintainability.
These changes enhance the user experience by providing a more intuitive fullscreen functionality and better visual presentation of documents.
- Updated the summary length requirement for document summarization to 100-300 words.
- Added new localization strings for missing storage engine notifications in English, Korean, Russian, and Chinese.
- Implemented UI warnings for users regarding storage engine configuration when files exist, including confirmation dialogs for storage engine changes.
- Enhanced backend validation to ensure a storage engine is configured before allowing content uploads.
These changes improve user experience by providing clearer guidance on storage engine requirements and enhancing the overall functionality of the knowledge base management system.
This feature introduces a localized fullscreen toggle capability directly to the document preview component. It adds translations across 4 UI languages (zh-CN, en-US, ko-KR, ru-RU) avoiding hardcoded strings. It also sets proper responsive height scaling for DOCX views expanding to full viewport.
- Introduced a new package for managing custom agents, including CRUD operations for agent creation, retrieval, updating, and deletion.
- Implemented API endpoints for listing agents and retrieving agent placeholders.
- Added data structures for agent configuration and requests, enhancing the overall agent management capabilities.
- Enhanced the client with methods to interact with the new agent management features, improving user experience in managing agents.
These changes significantly expand the application's functionality for handling custom agents, providing users with a comprehensive toolset for agent management.
- Added API endpoints for moving knowledge items between knowledge bases, including validation for source and target compatibility.
- Implemented asynchronous task handling for knowledge moves, tracking progress and status updates.
- Introduced new localization strings for move-related UI elements in English, Korean, Russian, and Chinese.
- Enhanced the frontend to support knowledge move operations, including target selection and progress monitoring.
These changes significantly improve the application's capabilities for managing knowledge across different bases, providing users with a seamless experience in organizing their knowledge assets.
- Revised the storage size calculation logic for Milvus, Qdrant, and Weaviate repositories to provide more accurate estimates based on the actual data structure and indexing methods.
- Updated comments to clarify the relationship between vector dimensions and index storage requirements, enhancing code readability and maintainability.
- Added support for AWS S3 as a storage engine, including configuration options for endpoint, region, access key, secret key, bucket name, and path prefix.
- Updated the StorageEngineConfig interface to include S3 configuration.
- Enhanced the UI components to allow users to configure S3 settings and test connections.
- Updated localization files to include new S3-related labels and descriptions in multiple languages.
These changes significantly enhance the storage capabilities of the application, providing users with more options for managing their data.
- Updated AWS SDK dependencies to versions v1.29.14 for config and v1.83.0 for S3, ensuring compatibility and access to the latest features.
- Added migration scripts to introduce column in the messages table for tracking agent execution duration.
- Added migration scripts to introduce column in the messages table and new JSONB columns in the tenants table for chat history configuration.
- Added new API endpoints for managing chat history configuration and retrieval settings, allowing tenants to enable message indexing and configure search parameters.
- Introduced new Vue components for ChatHistorySettings and RetrievalSettings, providing a user-friendly interface for managing these configurations.
- Updated localization files to include new settings descriptions and labels in multiple languages.
- Enhanced the KnowledgeSearch view to support searching across both knowledge bases and chat history, improving the overall search functionality.
These changes significantly enhance the application's capabilities in managing and retrieving chat history, contributing to a more robust user experience.
- Introduced the final_answer tool to ensure agents submit their complete responses as the last action, improving response accuracy and consistency.
- Updated the agent engine to log detailed information about tool calls and responses, including the total duration of agent execution.
- Enhanced the chat message model to include agent_duration_ms, tracking the total execution time from query start to answer delivery.
- Implemented JSON field extraction for streaming responses, allowing for more efficient handling of tool call outputs.
These changes significantly improve the agent's response handling and ensure that final answers are consistently delivered, enhancing overall user experience.
- Changed loading component size from large to medium in document preview, agent list, knowledge base list, and organization list for improved consistency.
- Updated avatar sizes from large to medium in agent editor modal, organization editor modal, organization settings modal, and other relevant components to maintain uniformity in UI design.
- Adjusted switch component sizes from large to medium in various settings to enhance visual coherence.
These changes contribute to a more consistent and polished user interface across the application.
- Replace hardcoded tag options with English equivalents (Content,
Culture, Person, etc.) so random tag generation works across locales
- Replace default extract example with English text (Romeo and Juliet)
matching the existing config.yaml extract_graph examples
- Update graph database status string to use locale-independent value
and align frontend comparison accordingly
- Convert error messages in fabri text handler to English
- Synchronize 2641 i18n keys across all 4 locales (en-US, zh-CN, ko-KR, ru-RU)
- Add TDesign ConfigProvider with dynamic locale to ensure all UI
components (select, input, empty states, dialogs) display in the
user's chosen language
- Fix provider dropdown in model editor: use i18n keys with API fallback
- Fix connection test messages: always use i18n for user-facing feedback
- Add explicit placeholders to t-select components in settings pages
- Add missing i18n keys: theme.selectTheme, organization role selectors,
lkeap provider translations
- Add crypto utility (internal/utils/crypto.go) with AES-256-GCM encrypt/decrypt
using SYSTEM_AES_KEY env var, with "enc:v1:" prefix for versioned ciphertext
- Encrypt tenant API key via GORM BeforeSave/AfterFind hooks and manual
encryption in CreateTenant/UpdateAPIKey (db.Updates bypasses hooks)
- Encrypt model API key in ModelParameters Value/Scan (driver.Valuer)
- Widen api_key column from varchar(64) to varchar(256) across all DB dialects
(MySQL, ParadeDB, SQLite) and add versioned migration 000018
- Propagate SYSTEM_AES_KEY through docker-compose, Helm secrets and values
- Fix migration 000017 PL/pgSQL dollar-quoting syntax ($ -> $$)
- Escape literal {{ and }} in locale strings using vue-i18n's {'{{'}
syntax to prevent "Not allowed nest placeholder" compilation errors
(ko-KR: 10, en-US: 10, ru-RU: 2, zh-CN: 1)
- Add missing .value accessor on allTools computed ref in
AgentEditorModal, fixing "allTools.map is not a function" error
- Add missing menu.agents and menu.organizations keys to ru-RU locale
All issues are follow-ups from #724 (frontend i18n).
Convert all LLM-facing prompts, templates, and tool output labels to
language-neutral English so the model responds in the user's input
language. Update frontend relevance/match-type mappings to match.
Output language strategy:
- User-facing: reply in user's input language
- Vector-indexed: match source document language
- LLM-internal: fixed English
Replace all user-visible hardcoded Chinese strings in Vue/TS source files
with proper i18n function calls and add corresponding translation keys
to all 4 locale files (zh-CN, en-US, ko-KR, ru-RU).
Changes:
- Replace 80+ hardcoded Chinese strings across 30+ source files
- Add ~450 new translation keys per locale file
- Cover components, views, utils, hooks, and API modules
- Remove Chinese fallback patterns (|| '中文') from existing t() calls
- Add mermaid toolbar and ollama date format translations
Intentionally preserved (backend API values / backward compatibility):
- FAQ CSV column headers and parsing constants
- RelevanceLevel type and Record key mappings
- Graph database engine status comparison ('未启用')
- Language name labels ('简体中文')
- Modified border-radius values in botmsg and usermsg components for a more uniform appearance.
- Increased font size in the ai-markdown-template class for better readability.
- Removed hover scale effect in AgentStreamDisplay, botmsg, and usermsg components to streamline interactions.
These changes enhance the visual consistency and usability of the chat components, contributing to a more polished user interface.
- Implemented ListChunksByParentIDs in chunkRepository to retrieve chunks based on multiple parent IDs, improving data retrieval efficiency.
- Enhanced the chunk merging logic in PluginMerge to better handle overlapping chunks and collect merged ImageInfo for parent chunks.
- Updated the ChunkRepository interface to include the new ListChunksByParentIDs method, ensuring consistency across the application.
These changes optimize chunk management and improve the handling of image information during merges, enhancing overall application functionality.
- Implemented GetUserByTenantID method in userRepository to retrieve the first user associated with a given tenant ID.
- Added corresponding GetUserByTenantID method in userService to facilitate user retrieval by tenant ID.
- Updated UserService and UserRepository interfaces to include the new method, ensuring consistency across the application.
- Enhanced auth middleware to store user information in context based on tenant ID, improving user management.
These changes enhance user retrieval capabilities by allowing access to user data based on tenant associations, improving overall application functionality.
- Updated border styles in multiple components to use a consistent thickness of 0.5px instead of 1px, enhancing visual uniformity.
- Adjusted styles in components such as AgentSelector, Input-field, KnowledgeBaseSelector, and others to improve overall UI consistency.
- Refined CSS variables for borders to ensure maintainability and adherence to design specifications.
These changes improve the aesthetic coherence of the application, providing a more polished user interface.
- Increased default sizes for parent and child chunks in the knowledge base editor and settings, enhancing data processing capabilities.
- Adjusted slider settings in the UI to reflect new minimum and maximum values for chunk sizes, improving user control over configurations.
- Updated backend logic to ensure consistent handling of chunk sizes across the application.
These changes optimize the chunking process, allowing for more efficient data handling and improved performance in knowledge base operations.
- Replaced the image source for the at-icon with inline SVG for better scalability and styling flexibility.
- Updated the SVG to use `currentColor` for stroke, allowing it to adapt to the current text color.
- Enhanced the input field component with improved styling and responsiveness, including adjustments to color transitions and hover effects.
- Refined the mention selector component to improve popup placement and scrolling behavior, ensuring a smoother user experience.
These changes enhance the visual consistency and usability of the components, providing a more modern and responsive interface.
- Implemented sidebar collapse and expand functionality, allowing users to toggle the sidebar visibility for a more streamlined interface.
- Updated the `uiStore` to manage sidebar state, persisting the collapsed state in local storage for user preference.
- Enhanced the `menu.vue` and `UserMenu.vue` components to adapt their layout based on the sidebar state, improving usability.
- Added corresponding translations for sidebar actions in English, Korean, Russian, and Chinese, ensuring accessibility for diverse users.
- Refined CSS styles to support the new sidebar behavior, enhancing overall UI consistency and responsiveness.
These changes significantly improve the user experience by providing a more flexible and user-friendly navigation system.
- Introduced a new API endpoint to toggle the pin status of knowledge bases, allowing users to pin important entries to the top of the list.
- Updated the frontend to include UI elements for pinning and unpinning knowledge bases, with corresponding success and error messages.
- Enhanced localization support by adding translations for pinning actions in English, Korean, Russian, and Chinese.
- Modified the database schema to include `is_pinned` and `pinned_at` fields for knowledge bases, enabling persistent pinning status.
These changes improve the organization and accessibility of knowledge bases, enhancing user experience by allowing quick access to prioritized entries.
- Introduced a constant `maxFunctionNameLength` set to 64 characters to comply with OpenAI API constraints on tool names.
- Updated the `Name` method in `MCPTool` to truncate tool names exceeding the maximum length, ensuring unique identification while preventing potential collisions.
- Enhanced the logic to handle long service IDs by using only the first 8 characters when necessary, maintaining the integrity of tool naming conventions.
These changes improve compliance with API requirements and enhance the robustness of tool name generation.
- Added a new entrypoint script to manage ownership of bind-mounted directories and merge built-in skills into preloaded ones.
- Updated the Dockerfile to include the `gosu` package for privilege management and to set the entrypoint to the new script.
- Ensured built-in skills are preserved and accessible after bind-mounting user directories, improving the application's flexibility and usability.
These changes streamline the container initialization process and enhance the management of skills within the application.
- Refactored CSS variables for consistent theming, replacing hardcoded colors with CSS variables for better maintainability.
- Updated various components including `AgentAvatar`, `AgentSelector`, and `AgentShareSettings` to utilize new theme variables for colors, backgrounds, and shadows.
- Enhanced SVG icons to use `currentColor` for better adaptability to theme changes.
- Improved overall UI consistency by aligning styles with the new theming approach, enhancing user experience across the application.
These changes significantly improve the visual coherence and maintainability of the UI, ensuring a more seamless user experience.
- Introduced a new `is_fallback` property to track when responses are generated without knowledge base matches.
- Updated the chat components to display fallback hints and indicators in the UI, enhancing user awareness of fallback responses.
- Added translations for fallback hints in multiple languages, improving accessibility for diverse users.
- Modified backend logic to emit fallback status in response events, ensuring consistent handling across the application.
These changes improve the user experience by providing clear feedback on fallback responses, enhancing the overall interaction with the chat system.
- Introduced a new API function `reparseKnowledge` to trigger the re-parsing of knowledge documents.
- Updated the KnowledgeBase component to include a user interface option for document re-parsing, with confirmation prompts and status messages.
- Added corresponding translations for the reparse feature in both English and Chinese locales.
These changes enhance the document management capabilities by allowing users to rebuild knowledge documents, improving the overall user experience.
- Updated the StorageCheckResponse to include a new field `bucket_created` to indicate if a bucket was automatically created during the connectivity check.
- Modified the MinIO connectivity check logic to attempt auto-creation of the bucket if it does not exist, setting a public-read policy if successful.
- Adjusted the frontend to reflect the new response structure, updating the UI to display a 'created' status when a bucket is auto-created.
These changes improve the user experience by providing clear feedback on bucket creation during storage checks, enhancing the overall functionality of the storage engine settings.
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