Trendz Analytics v1.13.x Release Notes
v1.13.2 (Jun 27, 2025)
Section titled “v1.13.2 (Jun 27, 2025)”Improvements:
- Redesigned anomaly autodiscovery tasks.
- Added job for saving anomaly scores as telemetry in ThingsBoard.
- Added ability to create alerts based on discovered anomalies.
- Added new filter conditions — “not in” and “does not contain”.
- Filter business entities based on user permissions.
- Improved AI Assistant conversation interface.
Bug fixes:
- Fixed fill gaps strategy during anomaly detection.
- Fixed issue with failed topology rediscovery.
- Fixed query planner for calculated fields.
- Invalidate JWT tokens based on user activity.
- Fixed multitenant validation procedure.
v1.13.1 (May 2, 2025)
Section titled “v1.13.1 (May 2, 2025)”Improvements:
- Added prompt templates for agentic knowledge and instructions management.
- Added summarization and explanation for visualizations with AI Assistant.
- Added conversation interfaces for AI Assistant.
- Added ThingsBoard widget action to interact with AI Assistant.
- Added support for OpenAI API-compatible models.
- Added support for custom and self-hosted LLM providers.
- Added support for OpenAI o4 family models.
- Added Trendz task sequencing API.
Bug fixes:
- Fixed heatmap translation.
- Fixed AI Assistant memory aggregation.
- Fixed drag and drop after unsuccessful view config save.
- Fixed issue with renamed calculated fields.
- Fixed manual task execution failures.
v1.13.0 (Mar 10, 2025)
Section titled “v1.13.0 (Mar 10, 2025)”Improvements:
- Added AI Assistant for creating visualizations.
- Added AI Assistant widget for ThingsBoard dashboards.
- Added configurable LLM providers for the AI Assistant.
Bug fixes:
- Fixed access denied error for public dashboards.
- Improved fill gap strategy for time series fields.
- Fixed translations for chart tooltips.
- Fixed task automated refresh for calculated fields.
- Fixed delta aggregation for raw data loading mode.
- Fixed issues with UNIQUE + COUNT operations in calculated fields.
- Fixed issues related to model retraining in Prophet and multi-Prophet scenarios.
- Corrected the AUTO segmentation strategy for prediction models.