Instrument MLflow tracing

Reuse working tracing for investigation or evaluation.

Prerequisites

• Check entry point, language/framework, SDK version, tracking URI, experiment, and deployment identity.
• Preserve destinations and providers. Explicit application destinations override inherited environment values; assistant telemetry may use another experiment.
• Read Python or TypeScript for the runtime.

Step 1: Check the destination (Databricks only)

For OSS or SageMaker, keep the configured backend and proceed to Step 2.

• Read UC setup before editing; validate auth/workspace.
• Reuse the explicit destination; otherwise resolve schema choice before provisioning.
• Discover an accessible warehouse automatically. Default to UC; legacy storage requires an explicit request.

Step 2: Enable framework tracing