databricks.yml

# Databricks Asset Bundle definition for prompt_playground.
# See https://docs.databricks.com/dev-tools/bundles/index.html for documentation.
bundle:
  name: prompt_playground
  uuid: 69a38b28-0b23-4240-9e26-39ac497080f0
  databricks_cli_version: ">= 0.220.0"

sync:
  exclude:
    - '*.lvdash.json'
    - '**/__pycache__'
    - '**/*.pyc'
    - '**/.pytest_cache'
    - 'src/frontend/node_modules/'
    - 'src/frontend/tsconfig.tsbuildinfo'
    - '.venv/'

variables:
  warehouse_id:
    description: "SQL Warehouse for eval dataset queries"
    lookup:
      warehouse: "Serverless Starter Warehouse"   # replace with your warehouse name if different

  serving_endpoint:
    description: "Model serving endpoint name — common options: databricks-claude-sonnet-4-5, databricks-claude-haiku-3-5, databricks-meta-llama-3-3-70b-instruct"
    default: "databricks-claude-sonnet-4-5"

resources:
  apps:
    prompt_playground:
      name: "prompt-playground"
      description: "Prompt Playground — iterate on MLflow Prompt Registry prompts and run batch evaluations without writing code"
      source_code_path: ./src

      resources:
        - name: sql-warehouse
          sql_warehouse:
            id: ${var.warehouse_id}
            permission: CAN_USE
        - name: serving-endpoint
          serving_endpoint:
            name: ${var.serving_endpoint}
            permission: CAN_QUERY

targets:
  dev:
    default: true
    mode: development
    # workspace.host is read from your active Databricks CLI profile.
    # Run: databricks auth login --host https://<your-workspace>.azuredatabricks.net

  prod:
    mode: production
    workspace:
      root_path: /Shared/.bundle/${bundle.name}/${bundle.target}
    # Uncomment to run as a service principal in production:
    # run_as:
    #   service_principal_name: sp-prod-deployer@your-org.com