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@@ -448,18 +448,145 @@ Place code with side effects, such as API calls, **after** the `interrupt` to av
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### Subgraphs called as functions
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When invoking a subgraph [as a function](low_level.md#as-a-function), the **parent graph** will resume execution from the **beginning of the node** where the subgraph was invoked (and where an `interrupt` was triggered). Similarly, the **subgraph**, will resume from the **beginning of the node** where the `interrupt()` function was called.
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**Subgraphs**: If you're invoking a subgraph [as a function](low_level.md#as-a-function), the **parent** graph will be re-run from the **beginning of the node** where the subgraph was invoked.
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For example,
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```python
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def some_node(state: State):
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some_code() # <-- This code will be re-executed when the subgraph is resumed.
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# Using a subgraph as a function.
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# The subgraph has an `interrupt` call
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def node_in_parent_graph(state: State):
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some_code() # <-- This will re-execute when the subgraph is resumed.
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# Invoke a subgraph as a function.
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# The subgraph contains an `interrupt` call.
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subgraph_result = subgraph.invoke(some_input)
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...
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```
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----
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**Example: Parent and Subgraph Execution Flow**
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If the parent graph has 3 nodes:
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**Parent Graph**: `node_1` → `node_2` (subgraph call) → `node_3`
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And the subgraph has 3 nodes, where the second node contains an `interrupt`:
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**Subgraph**: `sub_node_1` → `sub_node_2` (`interrupt`) → `sub_node_3`
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When resuming the graph, the execution will proceed as follows:
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1. **Skip `node_1`** in the parent graph (already executed, graph state was saved in snapshot).
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2. **Re-execute `node_2`** in the parent graph from the start.
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3. **Skip `sub_node_1`** in the subgraph (already executed, graph state was saved in snapshot).
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4. **Re-execute `sub_node_2`** in the subgraph from the beginning.
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5. Continue with `sub_node_3` and subsequent nodes.
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??? "An example of a subgraph with an interrupt with a parent graph"
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This is an example that you can play with to understand how subgraphs work with interrupts.
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It counts the number of times each node is entered and prints the count.
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```python
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import uuid
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from typing import TypedDict
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from langgraph.graph import StateGraph
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from langgraph.constants import START
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from langgraph.types import interrupt, Command
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from langgraph.checkpoint.memory import MemorySaver
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class State(TypedDict):
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"""The graph state."""
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state_counter: int
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counter_node_in_subgraph = 0
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def node_in_subgraph(state: State):
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"""A node in the sub-graph."""
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global counter_node_in_subgraph
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counter_node_in_subgraph += 1 # This code will **NOT** run again!
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print(f"Entered `node_in_subgraph` a total of {counter_node_in_subgraph} times")
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counter_human_node = 0
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def human_node(state: State):
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global counter_human_node
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counter_human_node += 1 # This code will run again!
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print(f"Entered human_node in sub-graph a total of {counter_human_node} times")
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answer = interrupt("what is your name?")
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print(f"Got an answer of {answer}")
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checkpointer = MemorySaver()
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subgraph_builder = StateGraph(State)
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subgraph_builder.add_node("some_node", node_in_subgraph)
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subgraph_builder.add_node("human_node", human_node)
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subgraph_builder.add_edge(START, "some_node")
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subgraph_builder.add_edge("some_node", "human_node")
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subgraph = subgraph_builder.compile(checkpointer=checkpointer)
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counter_parent_node = 0
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def parent_node(state: State):
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"""This parent node will invoke the subgraph."""
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global counter_parent_node
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counter_parent_node += 1 # This code will run again on resuming!
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print(f"Entered `parent_node` a total of {counter_parent_node} times")
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# Please note that we're intentionally incrementing the state counter
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# in the graph state as well to demonstrate that the subgraph update
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# of the same key will not conflict with the parent graph (until
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subgraph_state = subgraph.invoke(state)
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return subgraph_state
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builder = StateGraph(State)
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builder.add_node("parent_node", parent_node)
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builder.add_edge(START, "parent_node")
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# A checkpointer must be enabled for interrupts to work!
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checkpointer = MemorySaver()
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graph = builder.compile(checkpointer=checkpointer)
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config = {
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"configurable": {
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"thread_id": uuid.uuid4(),
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}
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}
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for chunk in graph.stream({"state_counter": 1}, config):
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print(chunk)
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print('--- Resuming ---')
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for chunk in graph.stream(Command(resume="35"), config):
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print(chunk)
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```
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This will print out
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```pycon
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--- First invocation ---
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In parent node: {'foo': 'bar'}
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Entered `parent_node` a total of 1 times
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Entered `node_in_subgraph` a total of 1 times
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Entered human_node in sub-graph a total of 1 times
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{'__interrupt__': (Interrupt(value='what is your name?', resumable=True, ns=['parent_node:0b23d72f-aaba-0329-1a59-ca4f3c8bad3b', 'human_node:25df717c-cb80-57b0-7410-44e20aac8f3c'], when='during'),)}
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--- Resuming ---
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In parent node: {'foo': 'bar'}
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Entered `parent_node` a total of 2 times
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Entered human_node in sub-graph a total of 2 times
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Got an answer of 35
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{'parent_node': None}
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```
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### Using multiple interrupts
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