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* Adding support for mapping interrupt ids -> resume values with the
`Command.resume_map` argument, like:
```py
resume_map = {
i.interrupt_id: f"human input for prompt {i.value}"
for i in parent_graph.get_state(thread_config).interrupts
}
parent_graph.invoke(Command(resume=resume_map), config=thread_config)
```
* Adds an `interrupts` attribute on `StateSnapshot` so that we can
access that directly rather than having to do
`get_state(thread_config).tasks` and then iterate over tasks to find
interrupts
* Deprecates undocumented feature where (if interrupting a graph from
the level of an interrupt), you could pass a dict mapping task ids ->
resume values. Now we recommend and endorse the `interrupt_id` approach
above.
I'll note, from an internal perspective, I would love if we didn't have
to pass around this map, but it seems like the best way right now to
make the necessary resume information necessary at different levels in a
graph with subgraphs.
Fix https://github.com/langchain-ai/langgraph/issues/4028
Slotted to be included in our v0.4.0 release early next week!