- Refactor parser_config assignment to use spread operator for better merging
- Preserve existing parser_config values when initializing defaults
- Merge graphrag configuration from record if present
- Ensure default values are applied while maintaining user-provided settings
- Extend model options merging logic to include 'image2text' type alongside 'llm'
- Combine image2text model options with llm and chat options for unified selection
- Enable image2text models to be available in the CreateModal component
- Add API endpoints for creating sync tasks and checking Feishu/Yuque authentication
- Add new sync-related UI components for Feishu and Yuque platform integration
- Add internationalization strings for sync operations and authentication messages in English and Chinese
- Add form fields for Feishu (App ID, App Secret, Folder Token) and Yuque (User ID, Token) credentials
- Add web crawler configuration fields (entry URL, max pages, delay, timeout, user agent)
- Add sync status messages (syncing, success, completed, timeout, failed, error states)
- Update CreateDataset component to support new data source types
- Update KnowledgeBase types to include new sync-related properties
- Enable users to synchronize knowledge base content from Feishu and Yuque platforms with proper authentication and error handling
* [add]Integration of the core engineering and memory extraction
* [add]The import and export function of the main body engineering files
* [add]Improve the import interface
* [add]Introducing generic types helps with entity extraction
* [add]Modify the references of the main repository to the sub-repositories
* [add]The extraction trial run introduces the ontology type.
* [add]Integration of the core engineering and memory extraction
* [add]The import and export function of the main body engineering files
* [add]Improve the import interface
* [add]Introducing generic types helps with entity extraction
* [add]Modify the references of the main repository to the sub-repositories
* [add]The extraction trial run introduces the ontology type.
* [add]Complete the second phase of the main project content
* [add]The dependencies and configurations of the main body project
* [add]Modify the code based on the AI review
- Add support for both memory_config_id (new) and memory_content (legacy) field names
- Implement detection and handling of legacy int format memory configurations
- Add validation for numeric string formats with appropriate warning logs
- Support case-insensitive memory node type matching (MemoryRead/MemoryWrite and memory-read/memory-write)
- Improve error handling with more descriptive logging for invalid UUID strings
- Fix config_id field reference in memory config resolution
- Ensure backward compatibility with existing agent configurations while supporting new format
- Add workspace_id fallback parameter to memory config loading across all services
- Update hot_memory_tags.py to pass workspace_id when resolving memory configuration
- Enhance emotion_analytics_service.py to support workspace_id as fallback for config resolution
- Improve implicit_memory_service.py with workspace_id fallback in config loading
- Update memory_agent_service.py to handle workspace_id resolution and add refactoring TODO
- Enhance preference_analysis.jinja2 prompt with critical guidance on supporting_evidence extraction
- Add validation to check both config_id and workspace_id before raising configuration errors
- Improve error handling and logging for memory configuration resolution across services
- This enables more flexible memory configuration resolution when config_id is unavailable
