What's new in Sigma
API Access Sigma from the command line using the Sigma CLI (GA) You can access the Sigma REST API programmatically from your terminal using the Sigma command-line interface (CLI) tool.
Also shipped Aug 21, 2026Sigma Computing in August 2026 →
Version targeting for Cortex Agent and Cortex Analyst evaluations (General availability)
Cortex Agent and Cortex Analyst evaluations now let you control the versioned configuration used for scoring: Version targeting pins the configuration under evaluation, not the agent behavior that gets evaluated: each run invokes the agent again and scores a newly generated trace.
CoCo automations in CLI and Snowsight (Preview)
CoCo automations in the CoCo CLI and CoCo in Snowsight are now available in public preview. Automations let you schedule recurring, unattended CoCo runs that execute in a Snowflake-managed sandbox. Each run creates a Cortex thread that you can inspect and continue in CoCo. Automations created from one surface can be monitored and managed from the other.
Upcoming end of life for the Supervisor API
The Supervisor API (Beta) reaches end of life on September 30, 2026. After that date, the API is no longer available. Databricks recommends migrating to custom agents on Databricks Apps . See Supervisor API (Beta) (deprecated) .
Consumer access to query Unity Gateway services will become generally available
Querying Unity Gateway model services and model provider services with Consumer access is currently opt-in through the Consumer access to Unity Gateway Public Preview . When this capability becomes generally available, consumer access users will be able to query these services without the preview enabled.
Monitor all AI activity with the unified trace table (Beta)
The unified trace table is in Beta . It captures every request and response across your Unity Gateway services into one Unity Catalog table in OpenTelemetry format, giving you a single place to monitor, debug, secure, and audit all AI activity. See Monitor all AI activity using the unified trace table .
Default Python package repositories are GA for Lakeflow pipelines and classic compute
Configuring default Python package repositories is now generally available for Lakeflow pipelines and for classic compute created via the UI and API. Workspace admins can set private or authenticated registries as the workspace default for these workloads. See Configure default package repositories .
More from SigmaEvery Sigma release →
What's new in Sigma
AI Allow Assistant to search all sources (Beta) An admin can configure the default behavior of Sigma Assistant to use any data sources available to users or limit Assistant to only specific configured data sources. Users can always manually choose a source for Assistant to use from the sources that they have access to.
What's new in Sigma
AI New model used for Gemini and BigQuery AI providers If you use Gemini as your AI provider through an API key or a BigQuery connection, Sigma now uses Gemini 3.6 Flash as the LLM. For more details, see Set up an AI provider .
What's new in Sigma
API New API endpoints to manage audit logging for an organization The following endpoints are now available to manage audit logging for an organization in Sigma: Get the audit logging setting for an organization ( GET /v2/organizations/settings/auditLogging ) Enable or disable audit logging for an organization ( PATCH /v2/organizations/settings/auditLogging...
What's new in Sigma
AI Agent skill for the Sigma CLI The sigma-cli skill provides instructions and reference materials that an AI assistant can use to call the Sigma REST API from the command line with the Sigma CLI. For more information, see Install skills for AI assistants .
What's new in Sigma
Admin Connect multiple Sigma organizations to one Slack workspace You can now connect multiple Sigma organizations to the same Slack workspace. See Manage Slack integration for more information.
What's new in Sigma
AI Sigma plugin for ChatGPT You can now install the Sigma MCP server for ChatGPT in one click using the Sigma plugin. For more information, see Use the Sigma MCP server . Support for Amazon Bedrock AI provider (GA) Amazon Bedrock is now a supported AI provider, letting you use Anthropic foundation models with Sigma AI-powered features.
What's new in Sigma
AI Migrate to Sigma with an AI assistant (Beta) You can use migration skills for Sigma to have an AI assistant rebuild your source content , the dashboards, reports, and data models in another business intelligence (BI) tool , as a Sigma document.
What's new in Sigma
AI Anthropic as an AI provider (Beta) Add an Anthropic API key to use models from Anthropic with Sigma AI features. When you set up Anthropic as your external AI provider, you use Anthropic for the LLM model and must also configure a second AI provider with an embeddings model available. For more details, see Add Anthropic as an AI provider .