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change[langgraph]: clean up Interrupt interface for v1 (#5405)

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This commit is contained in:
Sydney Runkle
2025-07-09 14:03:08 -04:00
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parent e5947bcd30
commit d1710e2eac
17 changed files with 320 additions and 370 deletions
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docs/docs/concepts/functional_api.md
+30 -26
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@@ -79,51 +79,55 @@ def workflow(topic: str) -> dict:
```python
import time
import uuid
from langgraph.func import entrypoint, task
from langgraph.types import interrupt
from langgraph.checkpoint.memory import MemorySaver
@task
def write_essay(topic: str) -> str:
"""Write an essay about the given topic."""
time.sleep(1) # This is a placeholder for a long-running task.
time.sleep(1) # This is a placeholder for a long-running task.
return f"An essay about topic: {topic}"
@entrypoint(checkpointer=MemorySaver())
def workflow(topic: str) -> dict:
"""A simple workflow that writes an essay and asks for a review."""
essay = write_essay("cat").result()
is_approved = interrupt({
# Any json-serializable payload provided to interrupt as argument.
# It will be surfaced on the client side as an Interrupt when streaming data
# from the workflow.
"essay": essay, # The essay we want reviewed.
# We can add any additional information that we need.
# For example, introduce a key called "action" with some instructions.
"action": "Please approve/reject the essay",
})
is_approved = interrupt(
{
# Any json-serializable payload provided to interrupt as argument.
# It will be surfaced on the client side as an Interrupt when streaming data
# from the workflow.
"essay": essay, # The essay we want reviewed.
# We can add any additional information that we need.
# For example, introduce a key called "action" with some instructions.
"action": "Please approve/reject the essay",
}
)
return {
"essay": essay, # The essay that was generated
"is_approved": is_approved, # Response from HIL
"essay": essay, # The essay that was generated
"is_approved": is_approved, # Response from HIL
}
thread_id = str(uuid.uuid4())
config = {
"configurable": {
"thread_id": thread_id
}
}
config = {"configurable": {"thread_id": thread_id}}
for item in workflow.stream("cat", config):
print(item)
```
```pycon
{'write_essay': 'An essay about topic: cat'}
{'__interrupt__': (Interrupt(value={'essay': 'An essay about topic: cat', 'action': 'Please approve/reject the essay'}, resumable=True, ns=['workflow:f7b8508b-21c0-8b4c-5958-4e8de74d2684'], when='during'),)}
# > {'write_essay': 'An essay about topic: cat'}
# > {
# > '__interrupt__': (
# > Interrupt(
# > value={
# > 'essay': 'An essay about topic: cat',
# > 'action': 'Please approve/reject the essay'
# > },
# > id='b9b2b9d788f482663ced6dc755c9e981'
# > ),
# > )
# > }
```
An essay has been written and is ready for review. Once the review is provided, we can resume the workflow: