Databricks Model Serving

This gives Claude the commands to create, configure, and query Databricks Model Serving endpoints without you needing to remember CLI flags. It handles the full lifecycle: spinning up pay-per-token foundation model APIs, provisioned throughput endpoints with dedicated GPUs, or custom MLflow models. The workflow is sensible: it makes you discover commands with help flags first instead of guessing syntax, walks through polling for readiness states, and shows how to wire endpoints into Databricks Apps with the right YAML incantations. Most useful when you're toggling between endpoint types or debugging why something is stuck in NOT_READY. The OpenAPI schema command is a nice touch for figuring out what payload format a custom model actually expects.