Fixed an issue with the Structural Agent when LLM provider is configured from the environment settings view.
Structural Agent chat for workspace analysis and configuration - Structural’s AI features now include the Structural Agent, a chat-based tool that can help you to understand the sensitive values in your source data and then assign and configure generators to protect those values. The Agent starts when you create a workspace - each workspace has its own chat. Use natural text prompts to ask questions about the data and apply generators. The Structural Agent is automatically enabled on Structural Cloud. For self-hosted customers, the Structural Agent becomes available when they configure a connection to an LLM.
Added TLS protocol and cipher configuration for the Notifications and Worker services.
Schema caching - fixed an issue where the application incorrectly suggested that schema changes were detected.
Improved the workspace loading experience with better visibility into loading progression.
File connector - Added support for the following data types in Parquet: Binary, BinaryView, Decimal32, Decimal64, Dictionary, Duration, FixedSizeBinary, FixedSizedList, Interval, List, Map, StringView, Struct, and Union.
You can now export and import your custom generator presets. During the import:
- If the identifier of an imported preset matches an existing preset, the existing preset is updated.
- If the identifier of an imported preset doesn’t match an existing preset, a new preset with that identifier is created.
Fixed upload of large JSON files based on a prefix filter so that they validate and upload properly. Also fixed some scenarios that could fail with JSON elements larger than 2GB.
Added the Text Composition generator, which allows you to configure the output value for a column as a template that incorporates values from other columns.