- Trigger opening statement on new conversation in run/run_stream
- Fix /opening endpoint to support workflow app type
- Fix features field missing in workflow config release snapshot
- Knowledge node returns citations alongside chunks
- Aggregate citations from all knowledge nodes in result builder
- Filter citations based on features.citation.enabled switch
- Fix WorkflowConfigCreate circular import in app_schema
- Add memory_config_id extraction and assignment when creating new end users in public share chat
- Introduce get_or_create_end_user_with_config method to handle memory config setup in single transaction
- Add batch_update_memory_config_id_by_app method for bulk updating end user memory configs
- Rename _update_endusers_memory_config_by_workspace to _update_endusers_memory_config_by_app for correct scope
- Update app publish flow to use app_id instead of workspace_id for memory config updates
- Remove unused actual_end_user_id variable in langchain_agent
- Ensures end users are properly associated with memory configs on creation and during app updates
- Replace English validation messages with Chinese localized strings
- Update "model config" to "模型配置"
- Update "memory config" to "记忆配置"
- Enhance error message with detailed context about missing configurations
- Add BizCode.CONFIG_MISSING error code for better error handling
- Include missing_params in error context for debugging and client-side handling-
- Rename `_extract_memory_config_id` to `_get_memory_config_id_from_release` to better reflect its purpose of retrieving memory config from release objects
- Update method call in release creation flow
- Update method call in release retrieval flow
- Improves code readability by making the method's scope and responsibility more explicit
1. From the model square to the model list, the added models are initially set to be inactive. When manually activating them, a mandatory API key configuration is required.
2. Copying of applications (agent, workflow, multi_agent)
1. Increase support for visual models and multimodal models;
2. The application and workflow can input various multimodal files such as images, documents, audio, and videos.
- 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
1. Add the "Skills" module;
2. The loading of the model square has been modified to be controlled through environment variables;
3. Dynamic scheduling of the skill binding tool;
4. Agent Integration Skills
- Extract default memory config retrieval logic from AppService to MemoryConfigService
- Make get_workspace_default_config method public (remove underscore prefix)
- Update AppService to delegate to MemoryConfigService for cleaner separation of concerns
- Add legacy int config_id handling in delete_config method with appropriate warnings
- Update delete_config signature to accept UUID or int types for backward compatibility
- Improve code reusability and maintainability by centralizing memory config operations
