Data and AI releases

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What's new in Sigma

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AI Add data model tables as data sources for agents (Beta) You can now add relevant data model tables as data sources for Sigma agents. For instructions, see Build Sigma agents . Assistant in build mode: formula join keys (Beta) In workbooks, Sigma Assistant in build mode can join tables on formulas and expressions, not just raw columns.

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Also shipped Jul 17, 2026Sigma Computing in July 2026 →

Anthropic managed ingestion connector (Beta)

The Anthropic connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest Compliance API data , audit activity, organizations, users, roles, groups, settings, and Claude chats and messages , from Anthropic into Databricks. See Anthropic connector .

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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 .

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What's new in Sigma

AI Customize first agent message (Beta) Customize the first message sent by a Sigma agent. You can set a fixed message or a specific prompt for a generated message. For example, modify an agent to send a specific text greeting like "Welcome to Sigma!" as a fixed message, instead of the agent using the AI provider to generate a message.

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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.

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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 .

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What's new in Sigma

AI Monitor MCP queries You can now use the "kind":"mcp" tag to monitor queries sent by the Sigma MCP server. This can be helpful to monitor costs or usage associated with the MCP server. See Monitor MCP queries for more information.

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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 .

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What's new in Sigma

AI AI column support for Databricks connections (Beta) You can now create and use AI columns on Databricks connections. AI columns allow you to construct dynamic prompts that reference specific table columns, which can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI Columns (Beta) .

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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.

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