When you used named_parameters in Databricks Workflows' python_wheel_task type, the arguments will be available to your program in form of --key=value, literally. Argparse can parse this, but can Typer? If not, you can switch from named_parameters to parameters where you have a bit more flexibility in how the parameters are presented, like space between key and value instead of equals sign.