Data and AI releases

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Omni CLI v1.2

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Omni CLI v1.2 is out, with a few new capabilities and a round of fixes to output and help-text accuracy. See the CLI section below for a detailed look at what's in the release.

Developer tools

Read on docs.omni.co

Also shipped Aug 24, 2026Omni in August 2026 →

Verkada connector (Beta)

The Verkada connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests organization audit logs and access users from your Verkada organization into Databricks. Authentication uses a Verkada organization API key. See Verkada connector .

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Omni Agent memory support

Users can now save information as personal context to use with the Omni Agent. Organization Admins can enable and disable this feature in AI Hub > General > Features .

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Improved Omni Agent workbook editing

Previously, the Omni Agent would auto-apply generated queries and charts to the active tab when used in workbooks. Now new queries and charts will be first shown in chat, so the active tab isn't overwritten.

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Administration

- Added support for Canada, UAE, and Southeast Asia cloud regions for Azure-based deployments. Added Korean (ko-KR) localization support . Added a connection_id property to the QUERY_EXECUTE audit log event . Connection Admin permissions are now required to rename a shared model or shared model extension.

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API

- Added a cache parameter to the Download dashboard endpoint. Added user impersonation support to the Search dashboards API . Added the Search Omni docs API to the REST API reference.

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CLI

- --body now accepts @path/to/file.json to read a request body from a file, or - to read it from stdin, and validates it as JSON client-side before sending. --schema is now available on every command, printing that command's arguments, flags, request body, and response shape without making an API call. See output formats for examples.

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Embedding

Added an organization-level setting that allows you to opt in to showing embed users their AI credit usage.

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Modeling

Added support for specifying cache policies on composite topics.

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