Incorrect type hint for StateGraph.add_node()?

[Glinte]

# langgraph/graph/state.py
# class StateGraph(Graph):
 def add_node(
        self, node: Union[str, RunnableLike], action: Optional[RunnableLike] = None
    ) -> None: ...

# langchain-core
RunnableLike = Union[
    Runnable[Input, Output],
    Callable[[Input], Output],
    Callable[[Input], Awaitable[Output]],
    Callable[[Iterator[Input]], Iterator[Output]],
    Callable[[AsyncIterator[Input]], AsyncIterator[Output]],
    Mapping[str, Any],
]

This is missing the cases for two arguments function forms such as Callable[[Input, RunnableConfig | None], Output] which is allowed as per the langgraph tutorials (https://langchain-ai.github.io/langgraph/how-tos/configuration/#configure-the-graph) and from testing.

This is showing up as an error in PyCharm and pyright.

[Glinte]

Nevermind, I guess Callable is weird and you should just not annotate optional keyword parameters. i.e. def f(input: X, *, config: RunnableConfig) -> Y is just Callable[[X], Y]