- Updated DatabaseQueryTool to accept search targets during initialization.
- Implemented search scope filtering in SQL validation to restrict queries to specified knowledge bases and documents.
- Enhanced the SQL validation process to include new filtering options for improved security and query accuracy.
- Removed the query display section from the DatabaseQuery component to streamline the UI.
- Updated the DatabaseQueryData interface to eliminate the query field, reflecting changes in tool result handling.
- Enhanced the DatabaseQuery tool execution to focus on returning structured results without exposing raw SQL queries.
- Added a new utility to strip <think> blocks from LLM outputs, improving content clarity and user experience.
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
- Added automatic filtering for `deleted_at IS NULL` in database queries to ensure only active records are returned.
- Updated the `database_query.go` documentation to reflect the new soft-delete feature and its implications for query construction.
- Enhanced the SQL validation process to include soft-delete conditions, improving data integrity and security.
These changes enhance the robustness of database interactions by enforcing soft-delete logic across relevant queries.
- Replaced `vlm_model_id` with a structured `vlm_config` object in knowledge base configurations, including `enabled` flag and `model_id`.
- Updated API documentation to reflect changes in VLM configuration structure.
- Enhanced frontend interfaces to accommodate new VLM configuration format.
- Improved localization for new features related to knowledge graph and multimodal capabilities.
wizardchen