[Feature Request] Allow for complex/nested types of flow inputs
Is your feature request related to a problem? Please describe.
I want to pass nested type like dict[str, dict[str, list]] to ChatFlow.__init__(vector_store: dict[str, dict[str, list]]) but I get an error below:
pf.flow.test failed with GenerateFlowMetaJsonError: Generate meta failed, detail error:
["Parse interface for tool 'ChatFlow.__call__' failed: The input 'vector_store' is of a complex python type. Please use a dict instead."]
Why is it not allowed to pass complex types? In my case the dict has fixed keys, so it can be a TypedDict.
Describe the solution you'd like
Be able to pass anything at least to the __init__() or ideally to the __call__() too.
Describe alternatives you've considered The ugly alternative for me is to break down each (key, value) of the dict into multiple input arguments... Alternatively, I have to make the vector_store to be a callable service or loadable from disk, i.e. pass the url or path to the vector store...
Additional context Add any other context or screenshots about the feature request here.