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169 releases of 1340

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  1. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. External MCP servers are in Beta

    Enables agent access to external tools, requires connecting to Model Context Protocol servers.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Token-based rate limits now available on AI Gateway

    Configures rate limits on model serving endpoints, replacing legacy governance settings, and requires configuration updates.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. OpenAI GPT OSS models now support function calling

    Supports function and tool calling on Databricks-hosted models.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. OpenAI GPT OSS models now supported on provisioned throughput

    Supports GPT OSS 120B and 20B models on provisioned throughput.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Schedule jobs for Serverless GPU compute workloads

    Creates and schedules Serverless GPU jobs via notebook scheduling.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  9. Use OpenAI GPT OSS models for batch inference and structured outputs

    Optimized for AI Functions with batch inference and structured outputs. Supports ai_query().

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. OpenAI GPT OSS models now available on Mosaic AI Model Serving

    Supports GPT OSS 120B and 20B as hosted foundation models, accessible via pay-per-token APIs.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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