Hi @seefoods ,

In your asset bundle YAML, define the parameters using the named_parameters field, for example like this:

tasks:
  - task_key: python_task
    python_wheel_task:
      entry_point: main
      named_parameters:
        input_path: "/data/input"
        output_table: "results"
        debug_mode: "true"

Then, in your Python script, use argparse to read those parameters:

import argparse

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--input_path", required=True)
    parser.add_argument("--output_table", required=True)
    parser.add_argument("--debug_mode", default="false")
    args = parser.parse_args()

When the job runs, Databricks automatically passes the values as command-line arguments, and argparse picks them up in your script.