Hi @srijan1881 ,
what do you mean by logs here? If you meant tracing step by step invocations etc in the model serving side. You need to add these environment variables to the served model (Serving > your endpoint > Edit endpoint > Environment variables), then restart the endpoint:

• ENABLE_MLFLOW_TRACING=true
• MLFLOW_EXPERIMENT_ID=<the numeric Experiment ID, not the path>
• Auth for the endpoint to write to the experiment:
  Either DATABRICKS_HOST and DATABRICKS_TOKEN (PAT), or DATABRICKS_CLIENT_ID and DATABRICKS_CLIENT_SECRET (Service Principal). The identity must have CAN_EDIT on the target experiment.

Ref Doc - https://docs.databricks.com/aws/en/mlflow3/genai/tracing/prod-tracing

Also ensure that mlflow[databricks] >= 3.1