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v20260505 (Release)

· 2 min read

This release focuses on improved reliability across AI, metadata, and dashboards, along with enhancements to planning workflows and data interaction.

New Features & Major Enhancements 🚀​

Improved AI & LLM Reliability​

  • Fixed issues where LLMs were not working consistently across environments.
  • Updated the default OpenAI endpoint configuration for better stability.
  • Resolved cases where the AI Widget failed to load data on initial dashboard load.
  • Fixed internal server errors when re-entering dashboards using the AI Widget.

Matrix, Tables & Pivot Enhancements​

  • Introduced Selected Cell Context in Matrix for more contextual interactions.
  • Fixed an issue where clicking a matrix cell reset column resizing.
  • Resolved drillthrough failures when dataset names matched destination folder names.
  • Improved Pivot table functionality and overall usability.
  • Fixed duplicate delete buttons appearing in Table Widgets.
  • Corrected datatable rendering issues when using @Measure.
  • Improved initial query state handling for Datatable widgets.

Relational Planning (RP) Improvements​

  • Added support for transfer functionality in Table/Form workflows.
  • Updated Rates table structure and behavior.
  • Fixed issues where @endPeriodPath was not calculated correctly.

Metadata & Import Definitions​

  • Fixed duplicate segment index generation in metadata processing.
  • Corrected Stage dimension mapping issues in Import Definitions.
  • Fixed an issue where "Flip Credits" did not correctly reverse values.
  • Improved measure lookup reliability.
  • Fixed issues in generated stored procedures.

ETL Enhancements​

  • Added support for adjustable ETL task timeouts, giving more control over long-running processes.

Fixes & Improvements 🛠️​

  • Standardized dashboard dropdown configurations for consistency.
  • General fixes to generated client code and package dependencies.
  • Addressed various environment and configuration inconsistencies.
  • Performed linting, cleanup, and DevOps merges to improve code quality and maintainability.
  • Additional minor bug fixes and stability improvements across the platform.