- Added max_input_chars configuration to limit input size for summary generation.
- Updated generate_summary.yaml to clarify summary generation steps and requirements.
- Introduced a new summary section in the document content view to display generated summaries or loading states.
- Refactored doc-content.vue to utilize computed properties for improved performance and readability.
- Enhanced knowledge base hooks to include description and summary status fields for better data handling.
- Updated internationalization files to include new summary-related labels in multiple languages.
- Updated the question generation template to clarify the role of surrounding context and main content.
- Enhanced quality rules for generated questions to better align with user search intent.
- Revised output format and added explicit instructions on what not to generate.
- Improved logging and output in the web parser for better visibility of parsed content and metadata.
- guard against empty content completion in analyzeResponse/executeLoop
with retry (max 2), nudge message, and fallback response
- propagate actual finish_reason through streaming pipeline instead of
hardcoding "stop" in streamThinkingToEventBus
- add FinishReason field to StreamResponse and streamLLMResult
- add finish marker chunk in processStreamDelta for empty content scenarios
- propagate lastFinishReason through EOF handler in processStream
- strengthen PureAgent system prompt with MCP tool guidelines and
graceful fallback instructions for unanswerable questions
- add unit tests for empty response bug and finish_reason propagation
- 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.
- Removed redundant instructions from the context template to simplify user guidance.
- Added context retrieval information to the system prompt, ensuring consistency in how context is presented across templates.
- Enhanced parameter casting to allow single strings to be treated as string arrays, improving flexibility in parameter handling.
- Adjusted minimum thought requirements in sequential thinking to allow for more varied input scenarios.
- 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.
- Modified the session title generation template to focus on extracting only the intent of the user's question.
- Enhanced the session service to include language context when generating titles.
- Updated middleware to inject language into the request context.
- Added a new test suite for validating SSRF safety of URLs.
- Added critical language rules to fallback response templates to ensure consistent language usage in responses.
- Updated logger context to include language and session-related keys for improved context management.
- 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.
- Removed outdated instructions regarding the `skip_kb_search` field in the conversation configuration.
- Clarified requirements for `image_description` to ensure it is non-empty when images are present.
- Adjusted the handling of message parts in the chat pipeline to improve image processing.
- Deleted unused migration files related to image handling in the database schema.
These changes enhance the clarity and functionality of the conversation and image processing logic.
- 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.
- 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.
- add StreamSender interface and streaming output for WeCom/Feishu
- refactor WeCom adapter into separate webhook and websocket files
- add output_mode config for stream/full toggle per platform
- add stream flush batching, dedup cleanup, and think-block filtering
- improve context template to handle irrelevant retrieved info gracefully
- add IM streaming integration tests
- add IM integration documentation with quick start guide
- 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
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
- Updated `config.yaml` to adjust conversation parameters for improved search performance.
- Added a new `knowledgeSemanticSearch` API function for semantic search capabilities.
- Introduced new SVG icons for search functionality.
- Created `KnowledgeSearch.vue` component for the search interface, including query input and result display.
- Enhanced menu and routing to support navigation to the new knowledge search page.
- Updated internationalization files to include translations for the knowledge search feature.
This update provides users with a powerful tool to perform semantic searches across knowledge bases, improving content discoverability.
- Added configuration for enabling cross-tenant access in the application.
- Introduced new API endpoints for listing and searching tenants, accessible only to users with the appropriate permissions.
- Updated user and tenant models to include the `can_access_all_tenants` field.
- Enhanced the authentication middleware to handle cross-tenant requests and validate user permissions.
- Created a new TenantSelector component for selecting tenants in the frontend, improving user experience.
- Updated internationalization files to support new tenant-related strings and messages.
- Added support for query expansion in conversation settings, allowing the system to generate additional queries when recall is low.
- Updated localization files in English, Russian, and Chinese to include new strings for the query expansion feature.
- Enhanced UI in AgentSettings.vue to allow users to toggle query expansion settings.
- Refactored related API and service logic to accommodate the new query expansion functionality in session management and chat processing.
- Updated agent configuration to support separate system prompts for web search enabled and disabled states.
- Removed deprecated agent configuration parameters to streamline settings management.
- Enhanced UI components in AgentSettings.vue to allow configuration of custom prompts based on web search status.
- Improved localization in English, Russian, and Chinese for new prompt settings and UI elements.
- Refactored related API and service logic to accommodate changes in agent configuration structure.
- Added DuckDuckGo as a new web search provider in the configuration.
- Removed deprecated web search providers (Baidu, Bing, Bocha, Exa, Google, Kuaisou, Searxng, Tavily, Zhipu) to streamline the codebase.
- Enhanced knowledge base management by introducing temporary knowledge base handling in the session service.
- Updated the web search service to support RAG-based compression for improved search result processing.
- Refactored session and knowledge service interfaces to accommodate new functionalities.
- Introduced web search configuration in config.yaml, allowing multiple providers with specific settings.
- Updated InputField component to manage agent mode and web search toggles, improving user interaction.
- Enhanced chat API to include web search status in requests, enabling dynamic query handling.
- Implemented backend support for web search integration, merging results with knowledge base queries.
- Added tenant-level web search configuration management, allowing customization per tenant.
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