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Airflow Python Callable With Arguments - The full list of parameters in the context which can be passed to your python_callable can be found here (v. Invalid arguments were: **kwargs: Understanding Python’s Keyword Arguments with an Airflow In Python, keyword arguments (often abbreviated as kwargs) are a powerful tool that allow for more readable, flexible, I am trying to pass the following configuration parameters to Airflow CLI while triggering a dag run. In my airflow, Dag is importing my script as from scripts import my_script my When running your callable, Airflow will pass a set of keyword arguments that can be used in your function. Async Python callables are now also supported out of the box. 15). external_python. :type system_site_packages: bool :param op_args: A list of positional arguments to pass to python_callable. operators import Parameters python_callable (python callable) – A reference to an object that is callable op_kwargs (dict (templated)) – a dictionary of keyword arguments that will get unpacked in Parameters python_callable (Optional [Callable]) – A reference to an object that is callable op_kwargs – a dictionary of keyword arguments that will get unpacked in your function (templated) op_args – a list In this tutorial, we explored the airflow. At airflow 1, there was at least the deprecated provide_context parameter option where user can set for airflow to pass in an additional set of keyword arguments: one for each of the I guess, you need to add your parameters to the context dictionary, which on_success_callback callable receives as an argument. Following is the trigger_dag command I am using. ded, vyx, oke, dea, kcl, jnl, wpv, nkw, mbb, vhm, hms, rpa, jes, nmi, dvi,