Essentially what I have that is resulting in this error is:

@reference_launch_plan(...)
def get_values_workflow() -> typing.Optional[dict[int, float]]:
	...
	
@task
def process_values_task(values: typing.Optional[dict[int, float]]) -> typing.Optional[FlyteFile]:
	if values is None:
		logger.warning("No values to process)
		return None
	else:
		figure = create_output_flytefile(values)
		return figure
	
@workflow
def main_workflow() -> CustomResultClass:
	values = get_values_workflow()
	flytefile = process_values_task(values=values)
	return CustomResultClass(myfile=flytefile)

The way I’m reading the error is it seems like it thinks my reference launch plan

get_values_workflow

is returning a

Typed Dict

but it’s expecting the input to my task

process_values_task

to be a

Python Dictionary

, even though I’ve defined the return type and input types both to be

typing.Optional[dict[int, float]]

could you re-register your launch plan with the latest flytekit and update the version in your code?

Oh actually.. would it make a difference if the

reference_launch_plan

was registered in a different project with an older version? I realized with my

main_workflow

in this example, I’m registering using the latest flytekit & flytectl, but the reference launch plan (

get_values_workflow

in this example) may have been registered with an older version

@microscopic-honey-72761 to unblock you first, you can re-register reference launch plan with new flytekit and run your workflow again

typing.Dict[str, int]

will still be serialized to idl by DictTransformer, right? I think user doesn’t care about the name of the transformer though. we could add some comments in

init