NodeCancelledError
If you pasted that class name into a search box, code inside one node of your LangGraph graph raised asyncio.CancelledError, and LangGraph turned it into a node failure. It is not a timeout. A timeout you configured has its own exception. Below: what the vendor’s docs say it is, read off them today, how it differs from NodeTimeoutError, and the fix.
LangGraph’s API reference, at
reference.langchain.com/
Raised when a node body raises asyncio.CancelledError itself.
The same page explains why the class exists:
asyncio.CancelledError is a BaseException and the pregel runner treats cancelled task futures as silent tear-down (e.g. when it stops sibling tasks after a peer fails). That is the correct behaviour for framework-initiated cancellation, but a user node that raises asyncio.CancelledError from its own body should surface as a node failure, the same way any other exception would.
And how it gets made: “The retry layer converts user-raised asyncio.CancelledError into this type so it flows through the normal error path and the run reports as error instead of silently succeeding.” So the error is doing you a favour. Without it, the vendor says, this run would have looked like a success.
A node timeout also ends an attempt by cancelling it. LangGraph’s fault-tolerance guide, at
docs.langchain.com/
Catch it by name and read which node.
from langgraph.errors import NodeCancelledError try: await graph.ainvoke(inputs, config) except NodeCancelledError as e: print(e.node) raise
Then find the cancel in that node’s body. The reference says the node body raised asyncio.CancelledError itself. Look in the function registered under e.node for where that comes from. If what you wanted was a cap on how long the node may run, the guide’s tool for that is timeout= on add_node, which takes a number of seconds, a timedelta or a TimeoutPolicy and reports through NodeTimeoutError: NodeTimeoutError.
Decide whether a retry should run. The guide says the default retry_on, default_retry_on, retries on “any exception except” a listed set, and Exception, the only base the reference lists for this class, is not on that list. So, by the guide’s list, a node with retry_policy=RetryPolicy(max_attempts=3) will retry it. If a cancel from your own code means “stop”, extend the default the way the guide shows:
from langgraph.errors import NodeCancelledError from langgraph.types import RetryPolicy, default_retry_on def custom_retry_on(exc: BaseException) -> bool: if isinstance(exc, NodeCancelledError): return False return default_retry_on(exc) builder.add_node( "my_node", my_node, retry_policy=RetryPolicy(max_attempts=3, retry_on=custom_retry_on), )
Or route around it. The guide’s error_handler= on add_node runs after a node fails and all retries are exhausted. It receives a NodeError whose node is the failed node’s name and whose error is the exception raised, and it can update state or send the graph elsewhere with a Command. The guide notes that per-node timeouts and node-level error handlers require langgraph>=1.2.
The errors reference, at
reference.
There is a written guide: the step-and-turn arithmetic as a formula you can run against a brief before you launch it, why raising a cap does not finish the job, and batch.py, one standard-library file that collapses a per-item loop into a single pass. It is $19, on a Gumroad storefront. One working way to pay today is 19 USDC on Base: you email the transaction hash and the guide is delivered by email. This page is free, ungated, and sells nothing on its own.
The short version: NodeCancelledError is, in LangGraph’s own words, “Raised when a node body raises asyncio.CancelledError itself.” It is not a timeout; a timeout= you set reports as NodeTimeoutError. Read e.node, find where that node’s code cancels, and either remove that cancel or use timeout= if a time cap is what you meant. Exclude it in retry_on if it should not be retried, or add an error_handler to route around it.
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