- Added support for SO_REUSEPORT in the listenWithRetry function to improve port binding during hot-reloads.
- Implemented graceful shutdown by closing the listener immediately upon receiving a shutdown signal, allowing for quicker port release.
- Updated logging to provide clearer feedback during server shutdown and error handling.
- Added SSRF protection by stripping client-supplied URL and Caption fields from image attachments in the QA request handler.
- Introduced a validation function to ensure Feishu API path parameters contain only safe characters, preventing path traversal attacks.
- Enhanced the WeCom webhook adapter to reject internal/private URLs unless they are on an allowlist, improving security during file downloads.
- Implemented a mechanism to bypass SSRF checks for trusted IM platform API hosts.
- Updated the assistant descriptions in various prompt templates to specify that they are developed by Tencent.
- Added new intent-specific system prompt templates for greeting, chitchat, follow-up, image analysis, summarization, and web search unavailability scenarios.
- Enhanced citation rules in the system prompts to ensure proper inline citation formatting.
- Refactored the rewrite prompt to classify user intent more accurately and output structured JSON responses.
Add DingTalk bot adapter supporting both webhook (HmacSHA256 signature
verification) and Stream mode (via official dingtalk-stream-sdk-go),
with sessionWebhook/OpenAPI reply fallback and AccessToken caching.
Add Telegram Bot API adapter supporting both webhook and long-polling
modes with streaming replies via editMessageText, file download via
getFile API, and timing-safe secret token verification.
- Updated the AgentEngine to emit final answer events even when the LLM stops without calling the final_answer tool, ensuring the frontend can render responses correctly.
- Added fallback logic in the AgentStreamHandler to emit final answers as fallback events when no answer events are streamed, improving robustness in edge cases.
- Added timezone and language settings to the environment configuration.
- Introduced built-in agent configurations with multilingual support for various agents.
- Updated Docker Compose to utilize new environment variables for timezone and language.
- Created new prompt templates for question generation, summary generation, and keywords extraction.
Add specific error handling for 'Endpoint url cannot have fully qualified paths'
to guide users to remove http:// or https:// prefix from endpoint URL."
- Use mime.FormatMediaType for both attachment and inline Content-Disposition
headers in DownloadKnowledgeFile and the preview handler, preventing header
injection via a user-controlled knowledge title (e.g. containing ';' or '=')
- Extract inline sanitize logic into sanitizeManualDownloadFilename helper and
add a blank/whitespace-only title fallback to "untitled" so the download
never produces a degenerate ".md" filename
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Introduced a new IMChannelPanel component for managing WeCom and Feishu channels.
- Added CRUD operations for IM channels, including create, update, delete, and list functionalities.
- Enhanced the backend with new API endpoints for IM channel management.
- Updated documentation to reflect changes in IM integration and channel management.
- Improved localization support for new IM-related UI elements across multiple languages.
- Added blur handling for the textarea in the Input-field component to prevent errors when navigating away from the component.
- Improved the sanitization process in the AgentStreamDisplay component to preserve specific tags during markdown processing, ensuring accurate content display.
- Introduced new methods for handling FAQ-specific post-processing in the knowledge base service, optimizing retrieval and filtering of search results.
These changes enhance user experience by improving input handling and content rendering in the chat interface.
- Introduced a new `QARequest` type to streamline parameters for KnowledgeQA and AgentQA service calls, replacing multiple parameters with a single structured request.
- Updated the `KnowledgeQA` and `AgentQA` methods in the session service interface to accept the new `QARequest` type, enhancing clarity and maintainability.
- Refactored the request parsing logic to utilize the new `buildQARequest` method, improving code organization and reducing redundancy.
- Implemented a new `resolveAgent` method to simplify custom agent resolution logic, enhancing readability and maintainability.
These changes improve the overall structure and usability of the QA request handling, facilitating easier updates and better code organization.
- Introduced a new parameter `webSearchEnabled` to the `AgentQA` method, allowing for conditional web search capabilities.
- Updated the session service interface and handler to accommodate the new parameter, enhancing the flexibility of the AgentQA process.
- Adjusted the configuration to ensure that web search functionality can be toggled based on the provided input.
These changes improve the AgentQA feature by enabling users to control web search integration, enhancing the overall user experience.
- Replaced LLMConfig with model_id in TextRelationExtractionRequest and FabriTextRequest interfaces.
- Updated related API handlers to retrieve chat models based on model_id.
- Adjusted frontend components to pass model_id instead of LLMConfig, enhancing clarity and simplifying the configuration process.
These changes streamline the model configuration process across the application, improving maintainability and usability.
- 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.
- 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.
- 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.
- support webhook and websocket modes for both platforms
- add im_channel_sessions migration for channel-session mapping
- register IM adapters and callback routes
- update config and docker-compose for IM env vars
- Replaced LLMConfig with model_id in TextRelationExtractionRequest and FabriTextRequest interfaces.
- Updated related API handlers to retrieve chat models based on model_id.
- Adjusted frontend components to pass model_id instead of LLMConfig, enhancing clarity and simplifying the configuration process.
These changes streamline the model configuration process across the application, improving maintainability and usability.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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 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.
- 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.
- Added support for parent-child chunking in the knowledge base, allowing for a two-level chunking strategy that improves context retrieval.
- Introduced new configuration options for enabling parent-child chunking, including parent and child chunk sizes.
- Updated relevant components and services to handle parent chunk data, ensuring proper linking and retrieval of child chunks.
- Enhanced user interface elements to reflect the new chunking options and provide better user guidance.
These changes significantly improve the knowledge extraction process by providing richer context through hierarchical chunking.
- Removed hardcoded IP address from blocked hosts in `system.go`.
- Integrated SSRF safety checks in `MinerUCloudReader` for base URL and zip URL validation.
- Updated HTTP client initialization to use a new utility function for SSRF-safe HTTP clients, improving security during API requests.
These changes enhance the security of the MinerUCloudReader by ensuring that potentially unsafe URLs are properly validated before use.
- Introduced a new API function `deleteAllSessions` to allow deletion of all sessions for a tenant.
- Updated the `BatchManageDialog` component to support a confirmation dialog for deleting all sessions.
- Enhanced the menu component to reflect the new delete all functionality with appropriate confirmation messages.
- Added internationalization support for the new delete all confirmation message in multiple languages.
These changes improve session management by providing users with the ability to delete all sessions at once, enhancing the overall user experience.
- Added `authorizeTenantAccess` method to check user permissions for accessing specific tenants.
- Integrated authorization checks in `GetTenant`, `UpdateTenant`, and `DeleteTenant` methods to enforce access control.
- Updated `ListTenants` method to ensure proper authentication before returning tenant data.
This update enhances security by ensuring that only authorized users can access or modify tenant information.
- Added `db_version` field to the `SystemInfo` interface to expose the current database migration version.
- Updated the system information response to include the database version, reflecting its state during application runtime.
- Enhanced the UI in the SystemInfo component to display the database version with appropriate labels and descriptions in multiple languages.
This update improves transparency regarding the database state within the system information settings.
- Added a new `StorageProviderConfig` struct to the `KnowledgeBase` for improved storage provider management, separating provider selection from storage credentials.
- Updated the `UnmarshalJSON` method to auto-populate `StorageProviderConfig` from the legacy `StorageConfig` for backward compatibility.
- Refactored various service methods to utilize the new storage provider configuration, ensuring a smooth transition from the legacy system.
- Implemented database migrations to add the `storage_provider_config` column and migrate existing data, maintaining compatibility with historical knowledge bases.
This update enhances the clarity and flexibility of storage configurations while ensuring compatibility with existing data structures.
- Introduced a loading state (`loadingChunks`) to manage document chunk loading more effectively.
- Updated the scroll handling logic to prevent multiple requests while loading chunks.
- Adjusted the pagination logic to ensure correct page increments based on the total document count.
This update improves the user experience by ensuring smoother document loading and better state management during scrolling interactions.
- Updated the `KnowledgeBase` struct to rename `cos_config` to `storage_config` for consistency across the application.
- Implemented a custom `UnmarshalJSON` method to maintain backward compatibility with legacy responses that still use `cos_config`.
- Modified various frontend components to reflect the new `storage_config` naming, ensuring seamless integration with the updated backend structure.
- Enhanced Dockerfiles and service configurations to support the new storage engine setup.
This update improves the clarity of storage configurations and ensures compatibility with existing data structures.
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