langchain-ai/langgraph · error · ValueError

Cannot use both `checkpoint_during` and `durability` paramet

Error message

Cannot use both `checkpoint_during` and `durability` parameters. Please use `durability` instead.

What it means

Error "Cannot use both `checkpoint_during` and `durability` parameters. Please use `durability` instead." thrown in langchain-ai/langgraph.

Source

Thrown at libs/langgraph/langgraph/pregel/main.py:2732

                If `True`, the events will be emitted as tuples `(namespace, data)`,
                or `(namespace, mode, data)` if `stream_mode` is a list,
                where `namespace` is a tuple with the path to the node where a subgraph is invoked,
                e.g. `("parent_node:<task_id>", "child_node:<task_id>")`.

                See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.

        Yields:
            The output of each step in the graph. The output shape depends on the `stream_mode`.
        """
        if (checkpoint_during := kwargs.get("checkpoint_during")) is not None:
            warnings.warn(
                "`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
                category=LangGraphDeprecatedSinceV10,
                stacklevel=2,
            )
            if durability is not None:
                raise ValueError(
                    "Cannot use both `checkpoint_during` and `durability` parameters. Please use `durability` instead."
                )
            durability = "async" if checkpoint_during else "exit"

        if stream_mode is None:
            # if being called as a node in another graph, default to values mode
            # but don't overwrite stream_mode arg if provided
            stream_mode = (
                "values"
                if config is not None and CONFIG_KEY_TASK_ID in config.get(CONF, {})
                else self.stream_mode
            )
        if debug or self.debug:
            print_mode = ["updates", "values"]

        stream = SyncQueue()

        config = ensure_config(self.config, config)

View on GitHub (pinned to 38031739e5)

When it happens

Trigger: Thrown at libs/langgraph/langgraph/pregel/main.py:2732 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of langchain-ai/langgraph@38031739e5 (2026-08-26). Data as JSON: /api/errors/c9c4524d4f30468e. Report an issue: GitHub.