Hello! Are there any plans to include flows return annotations to the deployment info same as of input parameters in

parameter_openapi_schema

Not yet! Sounds useful in the long run though, feel free to open a request on GitHub to track this.

Thanks! to work around it I am trying to use more complex input annotations and although

parameter_openapi_schema

returns the model properly, the prefect UI does not render the inner pydantic models. Any plans to render more complex models in the near future? example:

CdpStepInput = TypeVar('CdpStepInput', bound=BaseModel)
CdpStepResultSpec = TypeVar('CdpStepResultSpec', bound=BaseModel)


class StepExecutionContext(GenericModel, Generic[CdpStepInput, CdpStepResultSpec]):
    input: Optional[CdpStepInput]
    result_spec: Optional[CdpStepResultSpec]


class InputParams(BaseModel):
    csv_url: str = Field(None, description="the url of remote storage containing csv to load")
    storage_config: Optional[SecretStr] = "{}" # json encoded dict with storage options
    columns: Optional[List[str]] = None


class OuputSpec(BaseModel):
    output_url: str = Field(None, description="the url to feather file containing loaded dataframe")


@flow
def step(request: StepExecutionContext[InputParams, OuputSpec]):
    pass

I believe there’s an issue for that already, but rendering nested complex models is a bit tricky.

I see. I will look at github to find the issue. Thanks for your quick response!

Here’s one https://github.com/PrefectHQ/prefect/issues/7816

thank you!

np :)_