v0.148.0

A new account-level service is now available to manage private network gateways. Additionally, the SDK adds a project environment field for compute environments and a dataframe schema field for machine learning request sources.

The environment_variables_key field in JobEnvironmentVariables is now required, introducing a breaking change for job configurations. Additionally, the update adds an environment field to SandboxSpec and introduces the table_foreign_delta_deltasharing enum value for SecurableKind.

The Databricks Python SDK introduces a new list_commands method to the workspace sandbox service. This update allows practitioners to programmatically list and inspect commands within Databricks sandbox environments.

The AI functions service now supports an ai_decide method, and multiple Jobs and Tasks models now accept environment variable configurations. Additionally, command_path in DeploymentSpec and api_secret_ref in SchemaRegistryConfig are no longer required fields.

The MaterializedFeature class now includes job_id and pipeline_id fields. Importing the SDK runtime, WorkspaceClient, or dbutils no longer configures the root logger, preventing interference with subsequent logging.basicConfig calls.

The Databricks Python SDK introduces skill management operations to the AI Gateway workspace client. Users can now create, retrieve, list, update, finalize, and delete skills programmatically using new methods on the AI Gateway service.