Go 1.24 has an internal compiler race condition on Windows that causes
'package without types' errors during parallel compilation. Setting
GOFLAGS="-p=1" serializes the build and avoids triggering the bug.
- Introduced a new audio file, asr_test.wav, for ASR testing purposes.
- Created embed.go to embed the ASR test audio file as a byte slice.
- Updated initialization.go to utilize the embedded ASR test audio for model transcription checks.
- Implemented a new function to check ASR model connectivity via the /v1/audio/transcriptions endpoint.
- Updated ModelEditorDialog.vue to integrate ASR model checks and adjust UI elements accordingly.
- Enhanced localization files to reflect changes in ASR terminology and descriptions.
- Added ASR configuration options to the knowledge base and updated related migration scripts.
- Refactored model handling to support ASR as a distinct model type in the application.
- Updated UpdateKnowledgeTagBatch method to include an authorizedKBID parameter for restricting updates to specific knowledge items.
- Implemented validation to ensure that all requested knowledge IDs belong to the authorized knowledge base.
- Enhanced GetKnowledgeBatch and UpdateKnowledgeTagBatch methods to incorporate agent-specific knowledge base access restrictions.
- Added utility functions to resolve allowed knowledge base IDs for agents based on their configuration.
- Keep strict mode blocking all direct IPs (IPv4 and IPv6 uniformly)
- Unify all SSRF call sites to use ValidateURLForSSRF (whitelist-aware)
- Add Teredo (2001:0000::/32) and 6to4 (2002::/16) tunnel detection
- Make redirect handler and DNS pinning respect SSRF_WHITELIST
- Unexport isSSRFSafeURL to prevent future callers bypassing whitelist
- Add scheme validation for whitelisted redirect targets
- Document IPv6 whitelist syntax in .env.example
- Add comprehensive IPv6 test coverage
- Updated relevant files to include provider registration, implementation, and metadata.
- Enhanced frontend components to support provider management and configuration.
- Added localization for new provider settings and messages.
- Implemented backend repository methods for CRUD operations on web search providers.
- Added checks to ensure that the tenant ID matches between data sources and knowledge bases during creation and updates.
- Implemented ownership verification for data sources and knowledge bases in the DataSourceHandler, enhancing security and access control.
- Refactored data source retrieval methods to centralize ownership validation, improving code maintainability and clarity.
- Updated error handling to provide more informative responses when access is denied or when knowledge bases are not found.
- Deleted WeCom document connector and callback handling code to streamline the datasource management.
- Removed associated localization entries and UI elements related to WeCom integration.
- Updated data source management logic to eliminate references to WeCom, enhancing maintainability and clarity.
- Adjusted error handling and logging to reflect the removal of WeCom-specific functionality.
- Implemented WeCom document connector to sync smart documents and WeDrive files into WeKnora.
- Added detailed documentation for WeCom integration, including setup instructions for callback URL and API access.
- Enhanced frontend localization to support WeCom-specific messages and instructions.
- Updated data source management UI to include WeCom configuration options and callback URL handling.
- Improved error handling and validation for WeCom API interactions.
- Added a new API for managing data sources, including CRUD operations and connection validation.
- Introduced UI components for data source settings, sync logs, and editor dialog, enhancing user experience in managing external data sources.
- Updated localization files to support new data source features in multiple languages.
- Implemented cron expression humanization for better scheduling visibility.
- Enhanced knowledge base editor to include data source management options.
- Updated context template to include runtime metadata such as current time and week, improving contextual awareness in user queries.
- Enhanced rewrite template with critical instructions for intent classification, ensuring that rewritten questions preserve essential entities and keywords.
- Refined intent classification logic to prioritize user intents more effectively, improving the accuracy of responses based on user queries.
- Added examples to clarify expected input and output formats for intent classification, enhancing usability for developers.
- Added a new API endpoint to fetch suggested questions based on the agent's associated knowledge bases.
- Implemented frontend components to display suggested questions in both chat and create chat views, enhancing user interaction.
- Updated localization files to include translations for suggested questions in English, Korean, Russian, and Chinese.
- Introduced debounce logic for fetching suggestions to optimize performance during knowledge base changes.
- Enhanced backend services to support fetching and returning suggested questions, improving the overall chat experience.
- Introduced a new `channel` field in the Knowledge struct and associated request types to track the source channel (e.g., "web", "api", "browser_extension").
- Updated various frontend components to display channel information and enhance user experience with channel labels.
- Enhanced localization files to support channel labels in English and Chinese.
- Modified backend services and database migrations to accommodate the new channel feature, ensuring consistent tracking across knowledge entries.
- Refactored related functions to integrate channel handling, improving overall knowledge management and context.
- Introduced a new `channel` field in multiple request and message structures to track the source channel (e.g., "web", "api", "im").
- Updated frontend API calls and chat components to include the `channel` parameter, ensuring consistent channel tracking in user messages.
- Enhanced localization files to support channel labels in English, Korean, Russian, and Chinese.
- Added database migration scripts to incorporate the `channel` column in the messages table, facilitating the storage of channel information.
- Refactored related functions and components to accommodate the new channel feature, improving overall message context and tracking.
- Implemented ClearKnowledgeBaseContents function in the Client to asynchronously delete all knowledge entries while preserving the knowledge base.
- Added corresponding ClearKnowledgeBaseContents handler in the KnowledgeHandler to validate access and enqueue deletion tasks.
- Updated router to include a new DELETE endpoint for clearing knowledge base contents.
- Added diagnostics for streaming events in the AgentEngine, including chunk counts and response type distributions.
- Implemented logging for emitted event types during the thinking process to aid in debugging and performance analysis.
- Updated the session handler to provide more informative warnings when fallback answers are emitted due to non-streaming behavior.
- Introduced a dedicated HTTP client for Ollama to improve connection handling and timeout management during streaming calls.
- Simplified model filtering logic by removing the deduplication function and directly filtering models based on type.
- Updated SSRF validation to preserve backend-managed fields when parameters are not provided by the frontend.
- Clarified comments and improved code readability in the ModelEditorDialog and ModelSettings components.
- 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.
wizardchen