I've got an example to show what I mean - say we have a flow set up similar to the following, where I've defined an

InputModel

, which has one required parameter. This input model is then used as an optional parameter in my flow. Up to and including prefect version 2.10.18, I've been able to run a flow with the

optional_input_model

parameter set to none, which by extension means the

required_field

on the input model is also left unspecified.

from typing import Optional

import prefect
from pydantic import BaseModel


class InputModel(BaseModel):
    required_field: int


@prefect.flow(name="test-flow")
def flow(
    required_integer: int,
    optional_input_model: Optional[InputModel] = None,
) -> None:
    logger = prefect.get_run_logger()

    <http://logger.info|logger.info>(f"{required_integer=}")
    <http://logger.info|logger.info>(f"{optional_input_model=}")

After trying to upgrade to the latest version, 2.10.21, I'm finding that I can't run the flow from the UI, because prefect complains that the

required_field

in the input model is required (see my screenshot). Previously this wasn't the case, the flow would have

optional_input_model

set to None, and you'd still be able to run the deployment from the UI. Interestingly, when I try run the flow from a python terminal with the input model left as None, things work fine. It also works fine when I switch to the json view in run tab, so I think this is an issue on the UI end

Hey @Christopher Boyd, just checking to see if there was any progress made here?