Get verified MLflow traces from your app.
What it does
Adds or repairs application tracing and verifies that a representative request produces a persisted MLflow trace.
When to use it
Use when adding or repairing tracing in Python or TypeScript applications, including tracing needed for evaluation.
How to use it
Give it an application to instrument; it adds or repairs tracing, runs a representative request, and reports persisted-trace verification.
What you provide
- An existing project
Uses
What you need · 5
Uses the application's MLflow SDK for framework integrations and tracing; inspect the installed SDK version before changing instrumentation.
Enables optional tracking-server authentication together with MLFLOW_TRACKING_PASSWORD; token authentication is an alternative.
Access · 2
This skill
MLflow
Exports application traces to MLflow
Databricks
Provisions Databricks trace storage