Quickstart & Authentication

Prerequisites

• uv (Python package manager)
• nvm with Node 20 (for frontend)
• Databricks CLI v0.283.0+

Check CLI version:

databricks -v  # Must be v0.283.0 or above
brew upgrade databricks  # If version is too old

Run Quickstart

uv run quickstart

Options:

• --profile NAME: Use specified profile (non-interactive)
• --host URL: Workspace URL for initial setup {{LAKEBASE_OPTIONS}}- -h, --help: Show help

Examples:

# Interactive (prompts for profile selection)
uv run quickstart

# Non-interactive with existing profile
uv run quickstart --profile DEFAULT

# New workspace setup
uv run quickstart --host https://your-workspace.cloud.databricks.com
{{LAKEBASE_EXAMPLES}}```

## What Quickstart Configures

Creates/updates `.env` with:
- `DATABRICKS_CONFIG_PROFILE` - Selected CLI profile
- `MLFLOW_TRACKING_URI` - Set to `databricks://<profile-name>` for local auth
- `MLFLOW_EXPERIMENT_ID` - Auto-created experiment ID
{{LAKEBASE_CONFIGURES_ENV}}
Updates `databricks.yml`:
- Sets `experiment_id` in the app's experiment resource
{{LAKEBASE_CONFIGURES_YML}}

## Manual Authentication (Fallback)

If quickstart fails:

```bash
# Create new profile
databricks auth login --host https://your-workspace.cloud.databricks.com

# Verify
databricks auth profiles

Then manually create .env (copy from .env.example):

# Authentication (choose one method)
DATABRICKS_CONFIG_PROFILE=DEFAULT
# DATABRICKS_HOST=https://<your-workspace-here>.databricks.com
# DATABRICKS_TOKEN=dapi....

# MLflow configuration
MLFLOW_EXPERIMENT_ID=<your-experiment-id>
MLFLOW_TRACKING_URI="databricks://DEFAULT"
MLFLOW_REGISTRY_URI="databricks-uc"

# Frontend proxy settings
CHAT_APP_PORT=3000
CHAT_PROXY_TIMEOUT_SECONDS=300

Next Steps

After quickstart completes:

1. Run uv run discover-tools to find available workspace resources (see discover-tools skill)
2. Run uv run start-app to test locally (see run-locally skill)