Tonic Structural release information

In the Conditional generator, you can now apply a condition to whatever the current column is. In the application, the option is This field. In the API, you use field_self. You can use this option to define Conditional generator presets that can apply to a wider range of columns.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Added support to use the Structural agent to diagnose datasource connection test failures. For failed tests, an Ask AI prompt allows you to ask an LLM to troubleshoot the issue and suggest next steps.

Controlling AI access to sample data - Added an option to control whether AI features have access to sample data. When true, AI features can retrieve sample data from the workspace source database to improve functionality and output quality. When false, AI features only have access to database schema information. The default value is true.

For self-hosted instances, the option is on the Structural AI Settings page or as the environment setting TONIC_LLM_ENABLE_SAMPLE_DATA. On Structural Cloud, the option is on the Organization Settings page as TONIC_LLM_ENABLE_SAMPLE_DATA.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

SQL Server - For workspace data connections, SQL Server now supports the Tailscale tunneling option.

Amazon Redshift - Fixed an issue where very large tables failed to LOAD because of a lack of precision in file-chunk names for those tables.

File connector: The permissions check now succeeds when TONIC_AWS_S3_OVERRIDE_URL is configured.

Improved how the Structural Agent selects and configures generators.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

PostgreSQL - Improved the performance of sampling from partitioned tables during sensitivity scans and data generation.

Snowflake: Snowflake is now migrated to the new connection test infrastructure.

Bug fixes and other internal updates.

Fixed an issue where Structural LLM enabled components displayed in a disabled state when the instance was opted out of LLM features.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

The endpoint /api/FileGroup/upload_local_file no longer requires the x-tonic-workspace-id header.

The new AI Settings page in Structural Settings allows users to configure the connection to their LLM provider.

Amazon Redshift - Fixed subset planning queries to reduce strain on the query planner and improve throughput.

MySql – the MySql connector no longer copies Preserve Destination and Incremental mode tables when constructing the destination database.

Google BigQuery - For self-hosted instances, added support for using Application Default Credentials authentication.

Improved how the Structural Agent responds to a sensitivity scan. Improved the visibility of actions in the Agent chat.