Unity Gateway API and developer tools are generally available

The Unity Gateway API is now generally available for managing model services, providers, and MCP services, with full create, read, update, list, and delete support across Databricks developer tools. ### Use cases Imagine you need to automate the provisioning and management of generative AI services and MCP servers in Databricks using your preferred infrastructure tools. This allows you to: - Create and manage custom model services. - Configure model providers. - Register external MCP servers via code or CLI. ### How to use To manage resources using the Databricks Terraform provider, add the required configuration block to your project and apply the changes. hcl terraform { required_providers { databricks = { source = "databricks/databricks" } } } What happens in this code: 1. Defines the Databricks provider required for the Terraform project. 2. Enables declarative management of workspace infrastructure. ### Limitations and requirements Support for Declarative Automation Bundles through Databricks CLI 1.17.0 and later is in Beta. Minimum required versions include Terraform provider 1.132.0, Databricks CLI v1.17.0, Python SDK 0.136.0, Go SDK v0.178.0, Java SDK 0.153.0, and JavaScript SDK for AI Gateway 0.19.0.