fix(langgraph): give each bulk_update_state update its own task id

An update whose node has no pending task to reuse was stored under
uuid5(checkpoint_id, INTERRUPT), so every such update in one superstep
shared a task id. Savers keep one write per (task_id, idx), so all but the
first update's writes were dropped. Plain channels were unaffected, since
their value is stored in the new checkpoint, but a DeltaChannel replays
those writes and lost every update after the first.

The ith update now gets uuid5(checkpoint_id, f"{INTERRUPT}:{i}"). The first
keeps the old id, so a single update stores exactly what it did before.

libs/checkpoint-conformance/uv.lock

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libs/checkpoint/uv.lock

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 [[package]]

libs/langgraph/langgraph/pregel/_checkpoint.py

@@ -114,26 +114,6 @@ def create_metadata_for_update_state_api(
     return new_counters
 
 
-def advance_delta_counters(
-    channels: Mapping[str, BaseChannel],
-    updated_channels: set[str],
-    *,
-    prev_metadata: Mapping[str, Any] | None,
-) -> dict[str, Any]:
-    """The `counters_since_delta_snapshot` entry for an update_state
-    checkpoint saved one superstep after `prev_metadata`'s, for the paths
-    that skip `create_checkpoint_plan_for_update_state_api`.
-
-    Without it, the next checkpoint restarts every delta channel's snapshot
-    cadence from zero.
-    """
-    counters = create_metadata_for_update_state_api(
-        channels, updated_channels, prev_metadata=prev_metadata
-    )
-    non_zero = {k: v for k, v in counters.items() if v != (0, 0)}
-    return {"counters_since_delta_snapshot": non_zero} if non_zero else {}
-
-
 def create_checkpoint_plan_for_update_state_api(
     channels: Mapping[str, BaseChannel],
     updated_channels: set[str],

libs/langgraph/langgraph/pregel/main.py

@@ -129,7 +129,6 @@ from langgraph.pregel._algo import (
 from langgraph.pregel._call import identifier
 from langgraph.pregel._checkpoint import (
     achannels_from_checkpoint,
-    advance_delta_counters,
     channels_from_checkpoint,
     copy_checkpoint,
     create_checkpoint,
@@ -1682,7 +1681,6 @@ class Pregel(
                         "Cannot apply multiple updates when clearing state"
                     )
 
-                updated_channels: set[str] = set()
                 if saved is not None:
                     # tasks for this checkpoint
                     next_tasks = prepare_next_tasks(
@@ -1705,7 +1703,7 @@ class Pregel(
                         for w in saved.pending_writes or []
                         if w[0] == NULL_TASK_ID
                     ]:
-                        updated_channels |= apply_writes(
+                        apply_writes(
                             checkpoint,
                             channels,
                             [PregelTaskWrites((), INPUT, null_writes, [])],
@@ -1720,7 +1718,7 @@ class Pregel(
                             continue
                         next_tasks[tid].writes.append((k, v))
                     # clear all current tasks
-                    updated_channels |= apply_writes(
+                    apply_writes(
                         checkpoint,
                         channels,
                         next_tasks.values(),
@@ -1735,13 +1733,6 @@ class Pregel(
                         "source": "update",
                         "step": step + 1,
                         "parents": saved.metadata.get("parents", {}) if saved else {},
-                        **(
-                            advance_delta_counters(
-                                channels, updated_channels, prev_metadata=saved.metadata
-                            )
-                            if saved
-                            else {}
-                        ),
                     },
                     get_new_channel_versions(
                         checkpoint_previous_versions,
@@ -1760,7 +1751,7 @@ class Pregel(
                     )
 
                 if input_writes := deque(map_input(self.input_channels, values)):
-                    updated_channels = apply_writes(
+                    apply_writes(
                         checkpoint,
                         channels,
                         [PregelTaskWrites((), INPUT, input_writes, [])],
@@ -1783,15 +1774,6 @@ class Pregel(
                             "parents": saved.metadata.get("parents", {})
                             if saved
                             else {},
-                            **(
-                                advance_delta_counters(
-                                    channels,
-                                    updated_channels,
-                                    prev_metadata=saved.metadata,
-                                )
-                                if saved
-                                else {}
-                            ),
                         },
                         get_new_channel_versions(
                             checkpoint_previous_versions,
@@ -1837,12 +1819,6 @@ class Pregel(
                         "source": "fork",
                         "step": step + 1,
                         "parents": saved.metadata.get("parents", {}),
-                        # The copy has the same values and the same parent.
-                        **{
-                            k: v
-                            for k, v in saved.metadata.items()
-                            if k == "counters_since_delta_snapshot"
-                        },
                     },
                     {},
                 )
@@ -1974,7 +1950,7 @@ class Pregel(
             run_tasks: list[PregelTaskWrites] = []
             run_task_ids: list[str] = []
 
-            for as_node, values, provided_task_id in valid_updates:
+            for i, (as_node, values, provided_task_id) in enumerate(valid_updates):
                 # create task to run all writers of the chosen node
                 writers = self.nodes[as_node].flat_writers
                 if not writers:
@@ -1988,7 +1964,7 @@ class Pregel(
                 task_id = provided_task_id or (
                     prepared_task_ids.popleft()
                     if prepared_task_ids
-                    else str(uuid5(UUID(checkpoint["id"]), INTERRUPT))
+                    else _update_task_id(checkpoint["id"], i)
                 )
                 run_tasks.append(task)
                 run_task_ids.append(task_id)
@@ -2169,7 +2145,6 @@ class Pregel(
                     raise InvalidUpdateError(
                         "Cannot apply multiple updates when clearing state"
                     )
-                updated_channels: set[str] = set()
                 if saved is not None:
                     # tasks for this checkpoint
                     next_tasks = prepare_next_tasks(
@@ -2192,7 +2167,7 @@ class Pregel(
                         for w in saved.pending_writes or []
                         if w[0] == NULL_TASK_ID
                     ]:
-                        updated_channels |= apply_writes(
+                        apply_writes(
                             checkpoint,
                             channels,
                             [PregelTaskWrites((), INPUT, null_writes, [])],
@@ -2207,7 +2182,7 @@ class Pregel(
                             continue
                         next_tasks[tid].writes.append((k, v))
                     # clear all current tasks
-                    updated_channels |= apply_writes(
+                    apply_writes(
                         checkpoint,
                         channels,
                         next_tasks.values(),
@@ -2222,13 +2197,6 @@ class Pregel(
                         "source": "update",
                         "step": step + 1,
                         "parents": saved.metadata.get("parents", {}) if saved else {},
-                        **(
-                            advance_delta_counters(
-                                channels, updated_channels, prev_metadata=saved.metadata
-                            )
-                            if saved
-                            else {}
-                        ),
                     },
                     get_new_channel_versions(
                         checkpoint_previous_versions, checkpoint["channel_versions"]
@@ -2246,7 +2214,7 @@ class Pregel(
                     )
 
                 if input_writes := deque(map_input(self.input_channels, values)):
-                    updated_channels = apply_writes(
+                    apply_writes(
                         checkpoint,
                         channels,
                         [PregelTaskWrites((), INPUT, input_writes, [])],
@@ -2269,15 +2237,6 @@ class Pregel(
                             "parents": saved.metadata.get("parents", {})
                             if saved
                             else {},
-                            **(
-                                advance_delta_counters(
-                                    channels,
-                                    updated_channels,
-                                    prev_metadata=saved.metadata,
-                                )
-                                if saved
-                                else {}
-                            ),
                         },
                         get_new_channel_versions(
                             checkpoint_previous_versions,
@@ -2323,12 +2282,6 @@ class Pregel(
                         "source": "fork",
                         "step": step + 1,
                         "parents": saved.metadata.get("parents", {}),
-                        # The copy has the same values and the same parent.
-                        **{
-                            k: v
-                            for k, v in saved.metadata.items()
-                            if k == "counters_since_delta_snapshot"
-                        },
                     },
                     {},
                 )
@@ -2457,7 +2410,7 @@ class Pregel(
             run_tasks: list[PregelTaskWrites] = []
             run_task_ids: list[str] = []
 
-            for as_node, values, provided_task_id in valid_updates:
+            for i, (as_node, values, provided_task_id) in enumerate(valid_updates):
                 # create task to run all writers of the chosen node
                 writers = self.nodes[as_node].flat_writers
                 if not writers:
@@ -2471,7 +2424,7 @@ class Pregel(
                 task_id = provided_task_id or (
                     prepared_task_ids.popleft()
                     if prepared_task_ids
-                    else str(uuid5(UUID(checkpoint["id"]), INTERRUPT))
+                    else _update_task_id(checkpoint["id"], i)
                 )
                 run_tasks.append(task)
                 run_task_ids.append(task_id)
@@ -4219,6 +4172,16 @@ class Pregel(
         await self.cache.aclear(namespaces)
 
 
+def _update_task_id(checkpoint_id: str, i: int) -> str:
+    """Task id for the `i`th update of a superstep that has no task to reuse.
+
+    Savers keep one write per `(task_id, idx)`, so updates sharing an id lose
+    all but the first one's writes, which a `DeltaChannel` replays from. The
+    first update keeps the id a lone update has always had.
+    """
+    return str(uuid5(UUID(checkpoint_id), INTERRUPT if i == 0 else f"{INTERRUPT}:{i}"))
+
+
 def _trigger_to_nodes(nodes: dict[str, PregelNode]) -> Mapping[str, Sequence[str]]:
     """Index from a trigger to nodes that depend on it."""
     trigger_to_nodes: defaultdict[str, list[str]] = defaultdict(list)

libs/langgraph/tests/test_delta_channel_supersteps_bound.py

@@ -147,60 +147,6 @@ async def test_predicate_fires_on_supersteps_overflow() -> None:
     assert "x" not in result2
 
 
-def _delta_counters(saver: InMemorySaver, config: Any) -> dict[str, list[int]]:
-    tup = saver.get_tuple(config)
-    assert tup is not None
-    counters = tup.metadata.get("counters_since_delta_snapshot") or {}
-    return {ch: list(c) for ch, c in counters.items()}
-
-
-_UPDATE_PATHS_WITHOUT_THE_SNAPSHOT_PLAN = pytest.mark.parametrize(
-    ("values", "as_node", "supersteps"),
-    [
-        (None, END, 1),
-        (None, "__copy__", 0),
-        ({"a": []}, "__input__", 1),
-    ],
-    ids=["clear as END", "copy", "update as input"],
-)
-
-
-@_UPDATE_PATHS_WITHOUT_THE_SNAPSHOT_PLAN
-def test_update_state_path_keeps_delta_counters(
-    values: Any, as_node: str, supersteps: int
-) -> None:
-    saver = InMemorySaver()
-    graph = _build_two_channel_graph(saver)
-    config = {"configurable": {"thread_id": "counters"}}
-    graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-    before = _delta_counters(saver, config)
-    assert set(before) == {"a", "b"}, f"both channels need live counters: {before}"
-
-    updated = graph.update_state(config, values, as_node=as_node)
-
-    assert _delta_counters(saver, updated) == {
-        ch: [u, s + supersteps] for ch, (u, s) in before.items()
-    }
-
-
-@_UPDATE_PATHS_WITHOUT_THE_SNAPSHOT_PLAN
-async def test_aupdate_state_path_keeps_delta_counters(
-    values: Any, as_node: str, supersteps: int
-) -> None:
-    saver = InMemorySaver()
-    graph = _build_two_channel_graph(saver)
-    config = {"configurable": {"thread_id": "counters"}}
-    await graph.ainvoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-    before = _delta_counters(saver, config)
-    assert set(before) == {"a", "b"}, f"both channels need live counters: {before}"
-
-    updated = await graph.aupdate_state(config, values, as_node=as_node)
-
-    assert _delta_counters(saver, updated) == {
-        ch: [u, s + supersteps] for ch, (u, s) in before.items()
-    }
-
-
 async def test_counter_reset_after_supersteps_snapshot() -> None:
     """After the supersteps bound triggers a snapshot, the counters for
     that channel reset. Verify by using a bound higher than one run's

libs/langgraph/tests/test_delta_channel_update_state.py

@@ -20,6 +20,7 @@ from typing import Annotated, Any
 
 import pytest
 from langchain_core.messages import HumanMessage
+from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from typing_extensions import TypedDict
@@ -27,16 +28,17 @@ from typing_extensions import TypedDict
 from langgraph.channels.delta import DeltaChannel
 from langgraph.graph import START, StateGraph
 from langgraph.graph.message import _messages_delta_reducer
-from langgraph.types import StateUpdate
+from langgraph.types import StateSnapshot, StateUpdate
 
 pytestmark = pytest.mark.anyio
 
 
 def _build_graph(
-    checkpointer: InMemorySaver,
+    checkpointer: BaseCheckpointSaver,
     *,
     two_nodes: bool = False,
     snapshot_frequency: int = 1000,
+    interrupt_before: list[str] | None = None,
 ) -> Any:
     """Compile a minimal DeltaChannel-backed `messages` graph.
 
@@ -63,7 +65,7 @@ def _build_graph(
         builder.set_finish_point("assistant")
     else:
         builder.set_finish_point("model")
-    return builder.compile(checkpointer=checkpointer)
+    return builder.compile(checkpointer=checkpointer, interrupt_before=interrupt_before)
 
 
 # ---------------------------------------------------------------------------
@@ -273,10 +275,6 @@ def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
     that each call `put_writes`. Guards the regression where moving
     `put_writes` outside the per-task loop would persist only the last
     task's writes.
-
-    Explicit `task_id`s are required to disambiguate writes belonging to
-    different `StateUpdate`s targeting the same node — otherwise both share
-    the deterministic interrupt-derived id and collide in the saver.
     """
 
     saver = InMemorySaver()
@@ -310,6 +308,92 @@ def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
     assert sorted(ids) == ["m1", "m2"]
 
 
+def _update(content: str, as_node: str) -> StateUpdate:
+    return StateUpdate(
+        values={"messages": [HumanMessage(content=content, id=content)]},
+        as_node=as_node,
+    )
+
+
+def _contents(state: StateSnapshot) -> list[str]:
+    return [m.content for m in state.values["messages"]]
+
+
+def test_bulk_update_state_keeps_every_update_without_task_ids(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _build_graph(sync_checkpointer, two_nodes=True)
+    config = {"configurable": {"thread_id": "bulk-no-task-ids"}}
+    graph.invoke({"messages": [HumanMessage(content="hi", id="hi")]}, config)
+
+    graph.bulk_update_state(
+        config,
+        [
+            [
+                _update("first", "model"),
+                _update("second", "model"),
+                _update("third", "assistant"),
+            ]
+        ],
+    )
+
+    contents = _contents(graph.get_state(config))
+    assert sorted(contents) == ["first", "hi", "second", "third"], (
+        f"every update's writes must persist; got {contents}"
+    )
+
+
+async def test_abulk_update_state_keeps_every_update_without_task_ids(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _build_graph(async_checkpointer, two_nodes=True)
+    config = {"configurable": {"thread_id": "bulk-no-task-ids"}}
+    await graph.ainvoke({"messages": [HumanMessage(content="hi", id="hi")]}, config)
+
+    await graph.abulk_update_state(
+        config,
+        [
+            [
+                _update("first", "model"),
+                _update("second", "model"),
+                _update("third", "assistant"),
+            ]
+        ],
+    )
+
+    contents = _contents(await graph.aget_state(config))
+    assert sorted(contents) == ["first", "hi", "second", "third"], (
+        f"every update's writes must persist; got {contents}"
+    )
+
+
+def test_bulk_update_state_keeps_every_update_next_to_a_pending_task(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _build_graph(
+        sync_checkpointer, two_nodes=True, interrupt_before=["assistant"]
+    )
+    config = {"configurable": {"thread_id": "bulk-pending-task"}}
+    graph.invoke({"messages": [HumanMessage(content="hi", id="hi")]}, config)
+    assert graph.get_state(config).next == ("assistant",)
+
+    graph.bulk_update_state(
+        config,
+        [
+            [
+                _update("first", "assistant"),
+                _update("second", "model"),
+                _update("third", "model"),
+            ]
+        ],
+    )
+
+    contents = _contents(graph.get_state(config))
+    assert sorted(contents) == ["first", "hi", "second", "third"], (
+        f"every update's writes must persist; got {contents}"
+    )
+
+
 # ---------------------------------------------------------------------------
 # Public-API observation of fresh-thread checkpoint shape
 # ---------------------------------------------------------------------------

libs/langgraph/uv.lock

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+    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
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 [[package]]

libs/prebuilt/uv.lock

@@ -1363,11 +1363,11 @@ wheels = [
 
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 [[package]]

libs/sdk-py/uv.lock

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