Merge branch 'main' into fix/delta-replay-task-path-order

DeltaChannel reconstructs its value by replaying ancestor writes through
the reducer. Every saver ordered a checkpoint's writes by (task_id, idx),
but live execution applies them in task-path order: apply_writes sorts a
super-step's tasks by task_path_str(task.path[:3]) before calling
channel.update. task_id is a hash of the path, so the two orders are
unrelated, and two or more tasks writing one DeltaChannel in a single
super-step replayed in an arbitrary permutation.

Reducers are only required to be batching-invariant, not order-invariant,
so the permutation changes the value: get_state disagreed with what invoke
returned, and continuing the thread persisted the reordered replay as the
base for later writes.

Replay now orders by (task_path, task_id, idx), following the precedent
already set for the Send channel by SELECT_PENDING_SENDS_SQL. InMemorySaver
and the postgres savers already persisted task_path and only needed the
sort key; sqlite accepted task_path on put_writes and dropped it, so the
writes table gains the column plus a probe-guarded ALTER for databases
created by earlier versions.

Writes stored without a task_path sort first within their checkpoint, which
is where live execution applies the task-less input writes that carry "".

The graph-level regression tests run against the full async_checkpointer
matrix (memory, sqlite, postgres in three pool modes) because each saver
reconstructs delta channels through its own override; 20 of the 25 cases
fail on main, and the 5 that pass are the sequential control.

Co-authored-by: ErenAta16 <149434812+ErenAta16@users.noreply.github.com>
Co-authored-by: ragnarok268 <58264829+ragnarok268@users.noreply.github.com>

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delta_channel_history.py

@@ -6,12 +6,9 @@ import traceback
 from collections.abc import Callable
 from uuid import uuid4
 
-from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
-from langgraph.checkpoint.base.id import uuid6
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
+from langgraph.checkpoint.base import BaseCheckpointSaver
 
 from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
-from langgraph.checkpoint.conformance.test_utils import generate_metadata
 
 
 async def test_history_returns_writes_oldest_first(
@@ -51,6 +48,8 @@ async def test_history_seed_is_nearest_snapshot(
     result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
     assert "seed" in result["ch"], "Expected seed from snapshot at step 3"
     seed = result["ch"]["seed"]
+    from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
     actual_value = seed.value if isinstance(seed, _DeltaSnapshot) else seed
     assert actual_value == 3, f"Expected seed value 3 (step 3), got {actual_value}"
     writes = result["ch"]["writes"]
@@ -82,6 +81,11 @@ async def test_history_multi_channel(
     tid = str(uuid4())
     configs: list = []
     parent_cfg = None
+    from langgraph.checkpoint.base import Checkpoint
+    from langgraph.checkpoint.base.id import uuid6
+    from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
+    from langgraph.checkpoint.conformance.test_utils import generate_metadata
 
     for step in range(5):
         config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
@@ -157,6 +161,11 @@ async def test_history_migration_plain_value_as_seed(
     channel_values[ch] (not a _DeltaSnapshot). The walk should treat it as the
     seed and terminate there.
     """
+    from langgraph.checkpoint.base import Checkpoint
+    from langgraph.checkpoint.base.id import uuid6
+
+    from langgraph.checkpoint.conformance.test_utils import generate_metadata
+
     tid = str(uuid4())
     configs: list = []
     parent_cfg = None
@@ -199,71 +208,90 @@ async def test_history_migration_plain_value_as_seed(
     assert values == [2], f"Expected [2], got {values}"
 
 
-async def test_history_seed_ancestor_own_writes_are_replayed(
+# Task ids used by the ordering tests below. `build_delta_chain` tags its own
+# writes with a `uuid4`, whose hex digits are all <= "f", so "aaaa..." sorts
+# before every fixture task id and "zzzz..." sorts after every one of them.
+# That makes the expected order fully determined rather than dependent on which
+# uuid4 the fixture happened to draw.
+TASK_ID_SORTS_FIRST = "aaaaaaaa-0000-0000-0000-000000000000"
+TASK_ID_SORTS_LAST = "zzzzzzzz-0000-0000-0000-000000000000"
+
+
+async def test_history_orders_parallel_writes_by_task_path(
     saver: BaseCheckpointSaver,
 ) -> None:
-    """Writes stored AT the seed ancestor must be included in `writes`.
+    """Writes from several tasks in one super-step replay in task_path order.
 
-    A stored value is the state ENTERING its checkpoint; the writes stored
-    under that same checkpoint are what produced its child and are therefore
-    NOT subsumed by it. Only writes at ancestors OLDER than the seed are
-    subsumed, and the walk terminates before reaching them.
+    Live execution sorts a super-step's tasks by `task_path_str(path[:3])`
+    before applying their values, so replay has to recover that order rather
+    than `task_id` order — `task_id` is a hash of the path, so the two
+    disagree, and reducers are only required to be batching-invariant, not
+    order-invariant.
 
-    This holds for plain-value seeds (migration from a pre-delta channel type)
-    exactly as it does for `_DeltaSnapshot` seeds. Skipping the seed
-    ancestor's own writes silently drops the first post-migration write.
+    The two task_ids are assigned so they sort in the *opposite* order from
+    their task_paths. A saver ordering by `(task_id, idx)` therefore returns
+    these writes reversed, rather than passing by happening to agree.
     """
-    tid = str(uuid4())
-    configs: list = []
-    parent_cfg = None
-
-    # Each step's write is labelled by the role it plays, so the assertion
-    # below reads directly rather than by step index.
-    writes_by_step = {
-        0: "older-than-seed",  # subsumed by the value stored at step 1
-        1: "at-seed",  # the seed's own write, produced step 2
-        2: "after-seed",  # delta-era write on the path to the head
-        3: "pending-at-head",  # pending for the next step, never replayed
-    }
-    # Steps 0 and 1 store a plain value; 1 is the nearest, so it is the seed.
-    values_by_step = {0: [10], 1: [10, 20]}
-
-    for step in range(4):
-        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
-        if parent_cfg:
-            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
-                "checkpoint_id"
-            ]
-        cv: dict = {}
-        cvs: dict = {}
-        if step in values_by_step:
-            cv["ch"] = values_by_step[step]
-            cvs["ch"] = step + 1
-        cp = Checkpoint(
-            v=1,
-            id=str(uuid6(clock_seq=-1)),
-            ts="",
-            channel_values=cv,
-            channel_versions=cvs,
-            versions_seen={},
-            updated_channels=None,
-        )
-        parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
-        configs.append(parent_cfg)
-        await saver.aput_writes(
-            parent_cfg, [("ch", writes_by_step[step])], str(uuid4())
-        )
-
-    head = configs[-1]
-    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
-
-    assert "seed" in result["ch"], "Expected seed from plain value at step 1"
-    assert result["ch"]["seed"] == [10, 20], (
-        f"Expected nearest plain value [10, 20], got {result['ch']['seed']}"
+    configs = await build_delta_chain(
+        saver,
+        thread_id=str(uuid4()),
+        channel="ch",
+        snapshots_at_steps=[0],
+        total_steps=3,
     )
+    # The chain is: step 0 snapshot (seed), step 1 write, step 2 write.
+    # `aget_delta_channel_history` walks from the head's parent back to the
+    # seed, so it collects step 1's writes only — step 0 terminates the walk
+    # and step 2 is the head, whose own writes are pending for the next
+    # super-step and excluded. So step 1 is where these writes have to go.
+    step_1, head = configs[1], configs[2]
+    await saver.aput_writes(
+        step_1, [("ch", "second")], TASK_ID_SORTS_FIRST, "~pull, 02"
+    )
+    await saver.aput_writes(step_1, [("ch", "first")], TASK_ID_SORTS_LAST, "~pull, 01")
+
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
     values = [w[2] for w in result["ch"]["writes"]]
-    assert values == ["at-seed", "after-seed"], (
-        f'Expected ["at-seed", "after-seed"], got {values}'
+    # 1 is the fixture's own write at step 1. It carries no task_path, so it
+    # sorts ahead of both writes added above.
+    assert values == [1, "first", "second"], (
+        f"Expected task_path order [1, 'first', 'second'], got {values}. "
+        "Ordering by (task_id, idx) alone yields [1, 'second', 'first']."
+    )
+
+
+async def test_history_orders_pathless_writes_first(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Writes stored without a task_path sort ahead of path-carrying ones.
+
+    A task-less write (graph input) persists `task_path=""`, as does any row
+    written before a saver recorded the column. `""` precedes every
+    `task_path_str` output because that function prefixes tuples with `~`, so
+    those writes replay first — where live execution applies graph input.
+    """
+    configs = await build_delta_chain(
+        saver,
+        thread_id=str(uuid4()),
+        channel="ch",
+        snapshots_at_steps=[0],
+        total_steps=3,
+    )
+    # Same chain shape as above: step 1 is the only step the walk collects.
+    step_1, head = configs[1], configs[2]
+    # Committed in the opposite order to the one they must replay in, so the
+    # assertion cannot pass on insertion order alone.
+    await saver.aput_writes(
+        step_1, [("ch", "from_node")], TASK_ID_SORTS_FIRST, "~pull, a"
+    )
+    await saver.aput_writes(step_1, [("ch", "from_input")], TASK_ID_SORTS_LAST)
+
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    values = [w[2] for w in result["ch"]["writes"]]
+    # Both 1 (the fixture's write) and "from_input" are pathless, so they sort
+    # by task_id among themselves and both precede the path-carrying write.
+    assert values == [1, "from_input", "from_node"], (
+        f"Expected pathless writes first, got {values}"
     )
 
 
@@ -275,7 +303,8 @@ ALL_DELTA_CHANNEL_HISTORY_TESTS = [
     test_history_empty_channels_returns_empty,
     test_history_walk_to_root_no_seed,
     test_history_migration_plain_value_as_seed,
-    test_history_seed_ancestor_own_writes_are_replayed,
+    test_history_orders_parallel_writes_by_task_path,
+    test_history_orders_pathless_writes_first,
 ]
 
 

libs/checkpoint-conformance/uv.lock

@@ -279,7 +279,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },

libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py

@@ -168,6 +168,7 @@ class _DeltaStage2Row(TypedDict, total=False):
     type: str | None
     blob: bytes | None
     task_id: str | None  # "w" rows only
+    task_path: str | None  # "w" rows only
     idx: int | None  # "w" rows only
     version: str | None  # "b" rows only
 
@@ -319,7 +320,7 @@ def _build_delta_stage2_sql(
         branches.append(
             "SELECT 'w'::text AS _kind, "
             "checkpoint_id, channel, "
-            "type, blob, task_id, idx, NULL::text AS version "
+            "type, blob, task_id, task_path, idx, NULL::text AS version "
             "FROM checkpoint_writes "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND checkpoint_id = ANY(%s)"
@@ -327,7 +328,8 @@ def _build_delta_stage2_sql(
     for _ in channels_with_seed:
         branches.append(
             "SELECT 'b'::text AS _kind, NULL::text AS checkpoint_id, channel, "
-            "type, blob, NULL::text AS task_id, NULL::int AS idx, version "
+            "type, blob, NULL::text AS task_id, NULL::text AS task_path, "
+            "NULL::int AS idx, version "
             "FROM checkpoint_blobs "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND version = %s"
@@ -492,10 +494,11 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
         stored value, or when the seed blob is sentinel "empty" — in both cases
         the consumer treats absence as "start empty".
         """
-        # writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
-        writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-            ch: {} for ch in channels
-        }
+        # writes_by_ch_by_cid[channel][cid] = list of
+        # (type, blob, task_id, idx, task_path)
+        writes_by_ch_by_cid: dict[
+            str, dict[str, list[tuple[str, bytes, str, int, str]]]
+        ] = {ch: {} for ch in channels}
         # seed_blob_by_ver[(channel, version)] = (type, blob)
         seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
 
@@ -506,8 +509,17 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                 cid = cast(str, r["checkpoint_id"])
                 writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
                     cast(
-                        "tuple[str, bytes, str, int]",
-                        (r["type"], r["blob"], r["task_id"], r["idx"]),
+                        "tuple[str, bytes, str, int, str]",
+                        (
+                            r["type"],
+                            r["blob"],
+                            r["task_id"],
+                            r["idx"],
+                            # `task_path` is NOT NULL DEFAULT '' on "w" rows;
+                            # it is nullable on `_DeltaStage2Row` only because
+                            # the seed branch selects NULL for it.
+                            r["task_path"],
+                        ),
                     )
                 )
             else:  # kind == "b"
@@ -516,10 +528,12 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                     "tuple[str, bytes]", (r["type"], r["blob"])
                 )
 
-        # Sort writes per (channel, cid) newest-first by (task_id, idx)
+        # Sort writes per (channel, cid) newest-first by
+        # (task_path, task_id, idx) — the order `apply_writes` applied them
+        # in live, and the order documented on `DeltaChannelHistory`.
         for cid_map in writes_by_ch_by_cid.values():
             for ws in cid_map.values():
-                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
+                ws.sort(key=lambda w: (w[4], w[2], w[3]), reverse=True)
 
         result: dict[str, DeltaChannelHistory] = {}
         for ch in channels:
@@ -529,7 +543,9 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
             collected: list[PendingWrite] = []
             cid_writes = writes_by_ch_by_cid.get(ch, {})
             for cid in chain_cids:
-                for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
+                for type_tag, write_blob, task_id, _idx, _path in cid_writes.get(
+                    cid, []
+                ):
                     val = self.serde.loads_typed((type_tag, write_blob))
                     collected.append((task_id, ch, val))
             collected.reverse()

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.2"
+version = "3.1.1"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint-postgres/uv.lock

@@ -276,7 +276,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -351,7 +351,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.2"
+version = "3.1.1"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py

@@ -29,6 +29,11 @@ from langgraph.checkpoint.sqlite._delta import (
     build_delta_stage2_sql,
     step_walk_with_row,
 )
+from langgraph.checkpoint.sqlite._schema import (
+    ADD_WRITES_TASK_PATH_SQL,
+    DUPLICATE_COLUMN_ERROR,
+    HAS_WRITES_TASK_PATH_SQL,
+)
 from langgraph.checkpoint.sqlite.utils import search_where
 
 _AIO_ERROR_MSG = (
@@ -154,6 +159,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                 checkpoint_ns TEXT NOT NULL DEFAULT '',
                 checkpoint_id TEXT NOT NULL,
                 task_id TEXT NOT NULL,
+                task_path TEXT NOT NULL DEFAULT '',
                 idx INTEGER NOT NULL,
                 channel TEXT NOT NULL,
                 type TEXT,
@@ -162,6 +168,12 @@ class SqliteSaver(BaseCheckpointSaver[str]):
             );
             """
         )
+        if not self.conn.execute(HAS_WRITES_TASK_PATH_SQL).fetchone():
+            try:
+                self.conn.execute(ADD_WRITES_TASK_PATH_SQL)
+            except sqlite3.OperationalError as exc:
+                if DUPLICATE_COLUMN_ERROR not in str(exc):
+                    raise
 
         self.is_setup = True
 
@@ -460,9 +472,9 @@ class SqliteSaver(BaseCheckpointSaver[str]):
             task_path: Path of the task creating the writes.
         """
         query = (
-            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
             if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
         )
         with self.cursor() as cur:
             cur.executemany(
@@ -473,6 +485,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                         str(config["configurable"]["checkpoint_ns"]),
                         str(config["configurable"]["checkpoint_id"]),
                         task_id,
+                        task_path,
                         WRITES_IDX_MAP.get(channel, idx),
                         channel,
                         *self.serde.dumps_typed(value),
@@ -568,7 +581,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                     )
                 cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
+                    "list[tuple[str, str, str, int, str, bytes, str]]", cur.fetchall()
                 )
             else:
                 stage2_rows = []

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/_delta.py

@@ -57,7 +57,7 @@ def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
     for n in chain_lens:
         cid_placeholders = ",".join("?" * n)
         branches.append(
-            "SELECT checkpoint_id, channel, task_id, idx, type, value "
+            "SELECT checkpoint_id, channel, task_id, idx, type, value, task_path "
             "FROM writes "
             "WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
             f"AND checkpoint_id IN ({cid_placeholders})"
@@ -130,29 +130,33 @@ def build_delta_channels_writes_history(
     chain_by_ch: Mapping[str, list[str]],
     seed_val_by_ch: Mapping[str, Any],
     seeded: set[str],
-    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
+    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes, str]],
     serde: Any,
 ) -> dict[str, DeltaChannelHistory]:
     """Demux stage-2 rows per channel; produce per-channel histories.
 
-    Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
-    Final write order is oldest→newest globally and `(task_id, idx)` within
-    a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
+    Stage-2 rows are
+    `(checkpoint_id, channel, task_id, idx, type, value, task_path)`.
+    Final write order is oldest→newest globally and
+    `(task_path, task_id, idx)` within a checkpoint, matching the contract
+    on `DeltaChannelHistory.writes` — that is the order `apply_writes`
+    applied them in live, which `(task_id, idx)` alone does not recover
+    for parallel tasks writing one channel in a single super-step.
 
     `seed` is omitted when the walk reached a true root with no snapshot
     found (channel never entered `seeded`); consumers treat absence as
     "start empty".
     """
-    writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-        ch: {} for ch in channels
-    }
-    for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
+    writes_by_ch_by_cid: dict[
+        str, dict[str, list[tuple[str, bytes, str, int, str]]]
+    ] = {ch: {} for ch in channels}
+    for cid, ch, task_id, idx, type_tag, value_blob, task_path in stage2_rows:
         writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
-            (type_tag, value_blob, task_id, idx)
+            (type_tag, value_blob, task_id, idx, task_path)
         )
     for cid_map in writes_by_ch_by_cid.values():
         for ws in cid_map.values():
-            ws.sort(key=lambda w: (w[2], w[3]))
+            ws.sort(key=lambda w: (w[4], w[2], w[3]))
 
     result: dict[str, DeltaChannelHistory] = {}
     for ch in channels:
@@ -161,7 +165,7 @@ def build_delta_channels_writes_history(
         collected: list[PendingWrite] = []
         # Chain is newest-first; iterate oldest-first for the public order.
         for cid in reversed(chain_cids):
-            for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
+            for type_tag, value_blob, task_id, _idx, _path in cid_writes.get(cid, []):
                 collected.append(
                     (task_id, ch, serde.loads_typed((type_tag, value_blob)))
                 )

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/_schema.py

@@ -0,0 +1,37 @@
+"""Additive schema migrations shared by the sqlite savers.
+
+`SqliteSaver.setup` and `AsyncSqliteSaver.setup` create their tables with
+`CREATE TABLE IF NOT EXISTS`, which leaves a database created by an earlier
+version on the earlier schema. Sqlite has no `ADD COLUMN IF NOT EXISTS`
+(the postgres savers rely on that form), and re-running a plain
+`ALTER TABLE ... ADD COLUMN` raises `OperationalError: duplicate column
+name`. So each migration pairs an `ALTER` with a probe against
+`pragma_table_info` that tells us whether this database still needs it.
+
+Databases created fresh already carry every column from the `CREATE TABLE`
+statements, so the probe finds the column and the `ALTER` never runs.
+"""
+
+from __future__ import annotations
+
+# `writes.task_path` records the path of the task that produced a write.
+# Delta channel replay orders a checkpoint's writes by
+# (task_path, task_id, idx) to reproduce the order `apply_writes` applied
+# them in live; without the column, replay can only order by
+# (task_id, idx), which permutes writes made by parallel tasks in the same
+# super-step. Rows written before this migration keep the `''` default and
+# so sort ahead of path-carrying rows within their checkpoint.
+HAS_WRITES_TASK_PATH_SQL = (
+    "SELECT 1 FROM pragma_table_info('writes') WHERE name = 'task_path'"
+)
+
+ADD_WRITES_TASK_PATH_SQL = (
+    "ALTER TABLE writes ADD COLUMN task_path TEXT NOT NULL DEFAULT ''"
+)
+
+# Substring of the `OperationalError` sqlite raises when the column is already
+# there. The probe above is not enough on its own: two connections opening the
+# same file can both pass it and both issue the `ALTER`, and unlike
+# `CREATE TABLE IF NOT EXISTS` the loser of that race raises. Callers treat it
+# as success — whoever won did the same migration.
+DUPLICATE_COLUMN_ERROR = "duplicate column name"

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py

@@ -30,6 +30,11 @@ from langgraph.checkpoint.sqlite._delta import (
     build_delta_stage2_sql,
     step_walk_with_row,
 )
+from langgraph.checkpoint.sqlite._schema import (
+    ADD_WRITES_TASK_PATH_SQL,
+    DUPLICATE_COLUMN_ERROR,
+    HAS_WRITES_TASK_PATH_SQL,
+)
 from langgraph.checkpoint.sqlite.utils import search_where
 
 T = TypeVar("T", bound=Callable)
@@ -331,6 +336,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                     checkpoint_ns TEXT NOT NULL DEFAULT '',
                     checkpoint_id TEXT NOT NULL,
                     task_id TEXT NOT NULL,
+                    task_path TEXT NOT NULL DEFAULT '',
                     idx INTEGER NOT NULL,
                     channel TEXT NOT NULL,
                     type TEXT,
@@ -341,6 +347,16 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             ):
                 await self.conn.commit()
 
+            async with self.conn.execute(HAS_WRITES_TASK_PATH_SQL) as cur:
+                has_task_path = await cur.fetchone() is not None
+            if not has_task_path:
+                try:
+                    await self.conn.execute(ADD_WRITES_TASK_PATH_SQL)
+                except aiosqlite.OperationalError as exc:
+                    if DUPLICATE_COLUMN_ERROR not in str(exc):
+                        raise
+                await self.conn.commit()
+
             self.is_setup = True
 
     async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
@@ -576,9 +592,9 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             task_path: Path of the task creating the writes.
         """
         query = (
-            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
             if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
         )
         await self.setup()
         async with self.lock, self.conn.cursor() as cur:
@@ -590,6 +606,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                         str(config["configurable"]["checkpoint_ns"]),
                         str(config["configurable"]["checkpoint_id"]),
                         task_id,
+                        task_path,
                         WRITES_IDX_MAP.get(channel, idx),
                         channel,
                         *self.serde.dumps_typed(value),
@@ -681,7 +698,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                     )
                 await cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]",
+                    "list[tuple[str, str, str, int, str, bytes, str]]",
                     await cur.fetchall(),
                 )
             else:

libs/checkpoint-sqlite/tests/test_writes_task_path_migration.py

@@ -0,0 +1,214 @@
+"""Tests for the additive `writes.task_path` migration (#8382).
+
+`task_path` records the path of the task that produced a write, so delta
+channel replay can restore the order `apply_writes` applied a super-step's
+writes in. The sqlite savers previously accepted `task_path` on `put_writes`
+and dropped it, so the column has to be added to databases created by earlier
+versions as well as to fresh ones.
+
+Sqlite has no `ADD COLUMN IF NOT EXISTS`, so `setup()` probes
+`pragma_table_info` before issuing the `ALTER` — these tests pin that the
+probe makes the migration both effective and repeatable.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+from pathlib import Path
+
+import aiosqlite
+import pytest
+from langgraph.checkpoint.base import empty_checkpoint
+
+from langgraph.checkpoint.sqlite import SqliteSaver
+from langgraph.checkpoint.sqlite._schema import ADD_WRITES_TASK_PATH_SQL
+from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
+
+# The `writes` table as created before `task_path` existed.
+LEGACY_SCHEMA = """
+CREATE TABLE checkpoints (
+    thread_id TEXT NOT NULL,
+    checkpoint_ns TEXT NOT NULL DEFAULT '',
+    checkpoint_id TEXT NOT NULL,
+    parent_checkpoint_id TEXT,
+    type TEXT,
+    checkpoint BLOB,
+    metadata BLOB,
+    PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
+);
+CREATE TABLE writes (
+    thread_id TEXT NOT NULL,
+    checkpoint_ns TEXT NOT NULL DEFAULT '',
+    checkpoint_id TEXT NOT NULL,
+    task_id TEXT NOT NULL,
+    idx INTEGER NOT NULL,
+    channel TEXT NOT NULL,
+    type TEXT,
+    value BLOB,
+    PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx)
+);
+"""
+
+
+def _write_legacy_db(path: Path) -> None:
+    conn = sqlite3.connect(path)
+    try:
+        conn.executescript(LEGACY_SCHEMA)
+        conn.commit()
+    finally:
+        conn.close()
+
+
+def _columns(conn: sqlite3.Connection, table: str) -> list[str]:
+    return [row[1] for row in conn.execute(f"PRAGMA table_info({table})")]
+
+
+def test_fresh_database_has_task_path(tmp_path: Path) -> None:
+    with SqliteSaver.from_conn_string(str(tmp_path / "fresh.sqlite")) as saver:
+        saver.setup()
+        assert "task_path" in _columns(saver.conn, "writes")
+
+
+def test_legacy_database_gains_task_path(tmp_path: Path) -> None:
+    db = tmp_path / "legacy.sqlite"
+    _write_legacy_db(db)
+
+    with SqliteSaver.from_conn_string(str(db)) as saver:
+        saver.setup()
+        columns = _columns(saver.conn, "writes")
+
+    assert "task_path" in columns
+    # Existing columns are untouched — this is additive, not a table rebuild.
+    assert columns[:8] == [
+        "thread_id",
+        "checkpoint_ns",
+        "checkpoint_id",
+        "task_id",
+        "idx",
+        "channel",
+        "type",
+        "value",
+    ]
+
+
+def test_setup_is_repeatable_on_migrated_database(tmp_path: Path) -> None:
+    """A second `setup()` must not re-issue the `ALTER`.
+
+    Sqlite raises `duplicate column name` rather than ignoring it, so an
+    unguarded `ALTER` would break every reopen of a migrated database.
+    """
+    db = tmp_path / "legacy.sqlite"
+    _write_legacy_db(db)
+
+    with SqliteSaver.from_conn_string(str(db)) as saver:
+        saver.setup()
+        saver.is_setup = False
+        saver.setup()
+        assert "task_path" in _columns(saver.conn, "writes")
+
+    # And again through a fresh connection to the migrated file.
+    with SqliteSaver.from_conn_string(str(db)) as saver:
+        saver.setup()
+        assert "task_path" in _columns(saver.conn, "writes")
+
+
+def test_legacy_rows_keep_default_and_sort_first(tmp_path: Path) -> None:
+    """Rows predating the column read back as `''` and order ahead of paths.
+
+    `''` precedes every `task_path_str` output, which puts pre-migration
+    writes before path-carrying ones within their checkpoint instead of
+    interleaving them under a rule that never applied to them.
+    """
+    db = tmp_path / "legacy.sqlite"
+    _write_legacy_db(db)
+
+    conn = sqlite3.connect(db)
+    try:
+        conn.execute(
+            "INSERT INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id,"
+            " idx, channel, type, value) VALUES ('t', '', 'c', 'task', 0, 'ch',"
+            " 'null', X'')"
+        )
+        conn.commit()
+    finally:
+        conn.close()
+
+    with SqliteSaver.from_conn_string(str(db)) as saver:
+        saver.setup()
+        stored = saver.conn.execute("SELECT task_path FROM writes").fetchall()
+        assert stored == [("",)]
+
+        ordered = saver.conn.execute(
+            "SELECT task_path FROM writes ORDER BY task_path, task_id, idx"
+        ).fetchall()
+        assert ordered[0] == ("",)
+
+
+def test_setup_survives_losing_the_migration_race(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    """`setup()` succeeds when another connection migrates first.
+
+    The `pragma_table_info` probe is not a lock. Two connections opening the
+    same file can both see the column missing, and whichever issues the `ALTER`
+    second gets `duplicate column name` — `ALTER TABLE ADD COLUMN` has no
+    `IF NOT EXISTS` form to fall back on, unlike the `CREATE TABLE`s above it.
+
+    Stubbing the probe to always report the column missing reproduces exactly
+    the losing interleaving (probe says absent, another connection adds it,
+    then we `ALTER`) without depending on thread timing.
+    """
+    db = tmp_path / "legacy.sqlite"
+    _write_legacy_db(db)
+
+    # Winner of the race: migrates the file out from under the saver below.
+    winner = sqlite3.connect(db)
+    try:
+        winner.execute(ADD_WRITES_TASK_PATH_SQL)
+        winner.commit()
+    finally:
+        winner.close()
+
+    monkeypatch.setattr(
+        "langgraph.checkpoint.sqlite.HAS_WRITES_TASK_PATH_SQL", "SELECT 1 WHERE 0"
+    )
+    with SqliteSaver.from_conn_string(str(db)) as loser:
+        loser.setup()
+        assert "task_path" in _columns(loser.conn, "writes")
+
+
+def test_put_writes_persists_task_path(tmp_path: Path) -> None:
+    with SqliteSaver.from_conn_string(str(tmp_path / "fresh.sqlite")) as saver:
+        config = saver.put(
+            {"configurable": {"thread_id": "t", "checkpoint_ns": ""}},
+            empty_checkpoint(),
+            {},
+            {},
+        )
+        saver.put_writes(config, [("ch", "v")], "task-1", "~__pregel_pull, node")
+
+        stored = saver.conn.execute("SELECT task_id, task_path FROM writes").fetchall()
+        assert stored == [("task-1", "~__pregel_pull, node")]
+
+
+@pytest.mark.asyncio
+async def test_async_saver_migrates_and_persists_task_path(tmp_path: Path) -> None:
+    db = tmp_path / "legacy.sqlite"
+    _write_legacy_db(db)
+
+    async with AsyncSqliteSaver.from_conn_string(str(db)) as saver:
+        await saver.setup()
+        config = await saver.aput(
+            {"configurable": {"thread_id": "t", "checkpoint_ns": ""}},
+            empty_checkpoint(),
+            {},
+            {},
+        )
+        await saver.aput_writes(config, [("ch", "v")], "task-1", "~__pregel_pull, node")
+        # Idempotent for the async saver too.
+        saver.is_setup = False
+        await saver.setup()
+
+    async with aiosqlite.connect(db) as conn:
+        async with conn.execute("SELECT task_id, task_path FROM writes") as cur:
+            assert await cur.fetchall() == [("task-1", "~__pregel_pull, node")]

libs/checkpoint-sqlite/uv.lock

@@ -285,7 +285,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },

libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -161,6 +161,23 @@ class DeltaChannelHistory(TypedDict):
       Always present; possibly empty. Already filtered to one channel.
       Writes stored at the target checkpoint itself are pending for the
       next super-step and are excluded.
+
+      Within a single checkpoint, writes are ordered by
+      `(task_path, task_id, idx)`. This mirrors the order live execution
+      applied them in: `apply_writes` sorts a super-step's tasks by
+      `task_path_str(task.path[:3])` before handing their values to
+      `channel.update`, so a path-ordered replay reproduces the value
+      `invoke` returned. Ordering by `(task_id, idx)` alone does not —
+      `task_id` is a hash of the path, so for two or more tasks writing
+      the same channel in one super-step it permutes the values against
+      the order the reducer originally saw them in. Reducers are only
+      required to be batching-invariant, not order-invariant, so that
+      permutation changes the reconstructed value.
+
+      Writes persisted without a `task_path` (a task-less write such as
+      graph input, or a row written before the saver recorded the column)
+      sort first within their checkpoint, since `""` precedes every
+      `task_path_str` output — `task_path_str` prefixes tuples with `~`.
     * `seed` — the stored value at the nearest ancestor whose
       `channel_values[ch]` is populated. Omitted if the walk reached the
       root without finding any stored value (consumer treats absence as
@@ -610,6 +627,14 @@ class BaseCheckpointSaver(Generic[V]):
         `PostgresSaver`) override for performance; the return contract is
         fixed here.
 
+        `PendingWrite` carries no `task_path`, so the default takes each
+        ancestor's write order straight from `get_tuple`. Savers relying
+        on it must therefore return `pending_writes` ordered by
+        `(task_path, task_id, idx)` to satisfy the intra-checkpoint order
+        documented on `DeltaChannelHistory`; savers that order
+        `pending_writes` by `(task_id, idx)` alone need to override this
+        method (as the in-tree savers do) rather than inherit it.
+
         Args:
             config: Configuration identifying the target checkpoint.
             channels: Channel names to walk for. Empty → empty mapping.

libs/checkpoint/langgraph/checkpoint/memory/__init__.py

@@ -30,6 +30,23 @@ from langgraph.checkpoint.base import (
 logger = logging.getLogger(__name__)
 
 
+# How `InMemorySaver.writes[thread, ns, checkpoint]` keys and stores one write.
+_WriteKey = tuple[str, int]  # task ID, write idx
+_WriteValue = tuple[str, str, tuple[str, bytes], str]  # + channel, value, path
+_WriteEntry = tuple[_WriteKey, _WriteValue]  # one `dict.items()` pair
+
+
+def _delta_replay_sort_key(entry: _WriteEntry) -> tuple[str, str, int]:
+    """Order one checkpoint's writes as `apply_writes` applied them live.
+
+    Live order is `(task_path, task_id, idx)` — see `DeltaChannelHistory`. It
+    has to be assembled from both halves of the entry: `(task_id, idx)` is the
+    key, `task_path` is the last element of the value.
+    """
+    (task_id, idx), (_, _, _, task_path) = entry
+    return (task_path, task_id, idx)
+
+
 class InMemorySaver(
     BaseCheckpointSaver[str], AbstractContextManager, AbstractAsyncContextManager
 ):
@@ -71,10 +88,7 @@ class InMemorySaver(
         dict[str, dict[str, tuple[tuple[str, bytes], tuple[str, bytes], str | None]]],
     ]
     # (thread ID, checkpoint NS, checkpoint ID) -> (task ID, write idx)
-    writes: defaultdict[
-        tuple[str, str, str],
-        dict[tuple[str, int], tuple[str, str, tuple[str, bytes], str]],
-    ]
+    writes: defaultdict[tuple[str, str, str], dict[_WriteKey, _WriteValue]]
     blobs: dict[
         tuple[
             str, str, str, str | int | float
@@ -148,16 +162,17 @@ class InMemorySaver(
         whose stored blob is non-empty. Other channels keep walking until
         they find their own terminator or hit the root.
 
-        A blob is the value AT its ancestor, prior to the writes stored
-        under that same ancestor (those writes produce its child, which
-        is on the path to the target). This holds for `_DeltaSnapshot`
-        blobs and for pre-delta plain values alike, so the seed
-        ancestor's own writes are always collected. Writes at ancestors
-        older than the seed are subsumed by the seed value and are never
-        reached — the walk terminates there.
+        Pre-delta plain-value blobs subsume their ancestor's pending
+        writes (the value already includes them); `_DeltaSnapshot` blobs
+        do not (snapshot is the value AT that ancestor, prior to its own
+        pending writes that produce the child).
         """
         if not channels:
             return {}
+        # Imported lazily to avoid a hard checkpoint→serde-types coupling at
+        # module import; only this override needs the runtime check.
+        from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
         thread_id = config["configurable"]["thread_id"]
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
         checkpoint_id = config["configurable"].get("checkpoint_id", "")
@@ -199,13 +214,20 @@ class InMemorySaver(
                     terminated_here.add(ch)
 
             step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
-                step_writes.items(), reverse=True
+            # Newest-first; the caller reverses to get the public oldest-first
+            # order.
+            for (task_id, _idx), (_, ch, serialized, _task_path) in sorted(
+                step_writes.items(), key=_delta_replay_sort_key, reverse=True
             ):
                 if ch not in remaining:
                     continue
+                blob_value = blob_value_by_ch.get(ch)
+                if blob_value is not None and not isinstance(
+                    blob_value, _DeltaSnapshot
+                ):
+                    continue
                 collected_by_ch[ch].append(
-                    (tid, ch, self.serde.loads_typed(serialized))
+                    (task_id, ch, self.serde.loads_typed(serialized))
                 )
 
             for ch in terminated_here:

libs/checkpoint/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint/tests/test_memory.py

@@ -577,19 +577,9 @@ class TestPreDeltaBlobTerminator:
     """
 
     def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
-        """Four-checkpoint chain spanning the migration boundary:
-
-        * `cp0` — pre-delta ancestor OLDER than the seed. Its write
-          (`OLDER-WRITE`) is already folded into `cp1`'s stored value, so the
-          walk must terminate at `cp1` and never reach it.
-        * `cp1` — pre-delta, blob `["A"]`. That value is the state ENTERING
-          `cp1`; the write stored under `cp1` (`PRE-DELTA-WRITE`) is what
-          produced `cp2` and is NOT subsumed by the blob.
-        * `cp2` — delta-era, no stored value, write `B`.
-        * `cp3` — target, delta-era, write `PENDING-AT-TARGET`.
-
-        Reconstructing at `cp3` must yield seed `["A"]` plus writes
-        `["PRE-DELTA-WRITE", "B"]`.
+        """Three-checkpoint chain: cp1 (pre-delta, blob=[A]), cp2 (delta,
+        write=B), cp3 (delta, write=C). Reconstructing at cp3 must yield
+        seed=[A] + writes=[B, C].
 
         Returns `(saver, thread_id, ns, channel, cp3_id)`.
         """
@@ -597,21 +587,16 @@ class TestPreDeltaBlobTerminator:
         serde = JsonPlusSerializer()
         thread_id, ns, channel = "t1", "", "messages"
 
-        v0 = "00000000000000000000000000000000.0"
         v1 = "00000000000000000000000000000001.0"
         v2 = "00000000000000000000000000000002.0"
         v3 = "00000000000000000000000000000003.0"
 
-        # Pre-delta: cp0 and cp1 stored real blobs for the channel.
-        saver.blobs[(thread_id, ns, channel, v0)] = serde.dumps_typed([])
+        # Pre-delta: cp1 stored a real blob for the channel.
         saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
         # Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
         saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
         saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
 
-        cp0 = empty_checkpoint()
-        cp0["id"] = "cp0"
-        cp0["channel_versions"][channel] = v0
         cp1 = empty_checkpoint()
         cp1["id"] = "cp1"
         cp1["channel_versions"][channel] = v1
@@ -623,24 +608,16 @@ class TestPreDeltaBlobTerminator:
         cp3["channel_versions"][channel] = v3
 
         saver.storage[thread_id][ns] = {
-            "cp0": (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), "cp0"),
+            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
             "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
             "cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
         }
-        # Write under cp0 is older than the seed — cp1's blob already folded
-        # it in, and the terminator must stop before reaching it.
-        saver.writes[(thread_id, ns, "cp0")][("task0", 0)] = (
+        # Write under cp1 would be from the pre-delta era and MUST be ignored
+        # (the blob already captures it). We add one and assert it is not
+        # folded into the reconstructed result.
+        saver.writes[(thread_id, ns, "cp1")][("task0", 0)] = (
             "task0",
             channel,
-            serde.dumps_typed("OLDER-WRITE"),
-            "",
-        )
-        # Write under cp1 postdates cp1's blob (it is what produced cp2, which
-        # stores no value of its own) and MUST be replayed.
-        saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
-            "task1",
-            channel,
             serde.dumps_typed("PRE-DELTA-WRITE"),
             "",
         )
@@ -674,19 +651,15 @@ class TestPreDeltaBlobTerminator:
 
         # Seed came from the pre-delta blob at cp1.
         assert result["seed"] == ["A"]
-        # The seed ancestor's own write and the delta-era write from cp2 both
-        # replay through the reducer on top of the seed, oldest first. cp3 is
-        # the target — its own write is pending for the NEXT step and must be
-        # excluded.
+        # Delta-era writes from cp2 replay through the reducer on top of seed.
+        # cp3 is the target — its own write is pending for the NEXT step and
+        # must be excluded.
         values = [v for _, _, v in result["writes"]]
-        assert values == ["PRE-DELTA-WRITE", "B"]
+        assert values == ["B"]
 
-    def test_seed_bounds_walk_without_dropping_its_own_writes(self) -> None:
-        """The seed terminator bounds the walk: writes at ancestors OLDER than
-        the seed are already folded into the seed value and must not be
-        replayed. The seed ancestor's own write is not one of them — it
-        postdates the stored value and produced the next checkpoint.
-        """
+    def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
+        """Writes stored at the pre-delta ancestor itself must not be replayed
+        (the blob subsumes them)."""
         saver, thread_id, ns, channel, target = self._build_mixed_thread()
         config: RunnableConfig = {
             "configurable": {
@@ -701,9 +674,7 @@ class TestPreDeltaBlobTerminator:
         ]
 
         values = [v for _, _, v in result["writes"]]
-        # Older than the seed — subsumed by cp1's blob, so the walk stops first.
-        assert "OLDER-WRITE" not in values
-        # Stored AT the seed ancestor — not subsumed, so it must be replayed.
-        assert "PRE-DELTA-WRITE" in values
+        # The pre-delta write under cp1 must not appear (the blob subsumes it).
+        assert "PRE-DELTA-WRITE" not in values
         # And the pending write at the target is never folded in.
         assert "PENDING-AT-TARGET" not in values

libs/checkpoint/uv.lock

@@ -300,7 +300,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },

libs/langgraph/langgraph/_internal/_runnable.py

@@ -3,7 +3,6 @@ from __future__ import annotations
 import asyncio
 import enum
 import inspect
-import logging
 import sys
 import warnings
 from collections.abc import (
@@ -64,26 +63,6 @@ try:
 except ImportError:
     _StreamingCallbackHandler = None  # type: ignore
 
-logger = logging.getLogger(__name__)
-
-
-def _trace_payload(value: Any, transform: Callable[[Any], Any] | None) -> Any:
-    """Return the payload to record on a run for `value`.
-
-    When `transform` is unset this is a passthrough, so unspecified nodes record exactly
-    as before. When set it always runs (regardless of tracing), but never affects
-    execution: if it raises, the untransformed value is recorded instead.
-    """
-    if transform is None:
-        return value
-    try:
-        return transform(value)
-    except Exception:
-        logger.exception(
-            "trace input/output processor raised; recording untransformed payload"
-        )
-        return value
-
 
 def _set_config_context(
     config: RunnableConfig, run: Any = None
@@ -593,7 +572,6 @@ class RunnableSeq(Runnable):
         *steps: RunnableLike,
         name: str | None = None,
         trace_inputs: Callable[[Any], Any] | None = None,
-        trace_outputs: Callable[[Any], Any] | None = None,
     ) -> None:
         """Create a new RunnableSeq.
 
@@ -619,7 +597,6 @@ class RunnableSeq(Runnable):
         self.steps = steps_flat
         self.name = name
         self.trace_inputs = trace_inputs
-        self.trace_outputs = trace_outputs
 
     def __or__(
         self,
@@ -681,7 +658,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = callback_manager.on_chain_start(
             None,
-            _trace_payload(input, self.trace_inputs),
+            self.trace_inputs(input) if self.trace_inputs is not None else input,
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -712,7 +689,7 @@ class RunnableSeq(Runnable):
             run_manager.on_chain_error(e)
             raise
         else:
-            run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
+            run_manager.on_chain_end(input)
             return input
 
     async def ainvoke(
@@ -728,7 +705,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = await callback_manager.on_chain_start(
             None,
-            _trace_payload(input, self.trace_inputs),
+            self.trace_inputs(input) if self.trace_inputs is not None else input,
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -765,7 +742,7 @@ class RunnableSeq(Runnable):
             await run_manager.on_chain_error(e)
             raise
         else:
-            await run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
+            await run_manager.on_chain_end(input)
             return input
 
     def stream(
@@ -781,7 +758,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = callback_manager.on_chain_start(
             None,
-            _trace_payload(input, self.trace_inputs),
+            self.trace_inputs(input) if self.trace_inputs is not None else input,
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -826,7 +803,7 @@ class RunnableSeq(Runnable):
                 run_manager.on_chain_error(e)
                 raise
             else:
-                run_manager.on_chain_end(_trace_payload(output, self.trace_outputs))
+                run_manager.on_chain_end(output)
 
     async def astream(
         self,
@@ -841,7 +818,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = await callback_manager.on_chain_start(
             None,
-            _trace_payload(input, self.trace_inputs),
+            self.trace_inputs(input) if self.trace_inputs is not None else input,
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -896,9 +873,7 @@ class RunnableSeq(Runnable):
                     await run_manager.on_chain_error(e)
                     raise
                 else:
-                    await run_manager.on_chain_end(
-                        _trace_payload(output, self.trace_outputs)
-                    )
+                    await run_manager.on_chain_end(output)
         else:
             try:
                 async with AsyncExitStack() as stack:
@@ -928,9 +903,7 @@ class RunnableSeq(Runnable):
                 await run_manager.on_chain_error(e)
                 raise
             else:
-                await run_manager.on_chain_end(
-                    _trace_payload(output, self.trace_outputs)
-                )
+                await run_manager.on_chain_end(output)
 
 
 def _consume_iter(it: Iterator[Any]) -> Any:

libs/langgraph/langgraph/graph/_node.py

@@ -9,13 +9,7 @@ from langgraph.store.base import BaseStore
 
 from langgraph._internal._typing import EMPTY_SEQ
 from langgraph.runtime import Runtime
-from langgraph.types import (
-    CachePolicy,
-    RetryPolicy,
-    StreamWriter,
-    TimeoutPolicy,
-    TracePolicy,
-)
+from langgraph.types import CachePolicy, RetryPolicy, StreamWriter, TimeoutPolicy
 from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
 
 
@@ -99,5 +93,3 @@ class StateNodeSpec(Generic[NodeInputT, ContextT]):
     ends: tuple[str, ...] | dict[str, str] | None = EMPTY_SEQ
     defer: bool = False
     timeout: TimeoutPolicy | None = None
-    trace_policy: TracePolicy | None = None
-    """Optional policy controlling what this node records on its trace run."""

libs/langgraph/langgraph/graph/state.py

@@ -85,7 +85,6 @@ from langgraph.types import (
     RetryPolicy,
     Send,
     TimeoutPolicy,
-    TracePolicy,
     ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
@@ -385,7 +384,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
-        trace_policy: TracePolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
         """Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -455,7 +453,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
-        trace_policy: TracePolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
         """Add a new node to the `StateGraph` where input schema is specified.
@@ -530,7 +527,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
-        trace_policy: TracePolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
         """Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -600,7 +596,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
-        trace_policy: TracePolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
         """Add a new node to the `StateGraph`, input schema is specified.
@@ -677,7 +672,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
-        trace_policy: TracePolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
         """Add a new node to the `StateGraph`.
@@ -697,10 +691,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 If a sequence is provided, the first matching policy will be applied.
             cache_policy: The cache policy for the node.
             error_handler: Optional node-level error handler callable for this node.
-            trace_policy: Optional policy controlling how this node's run is traced. Its
-                `process_inputs` callable transforms the node's input before it is
-                recorded (e.g. to omit or summarize large message history) without
-                changing the value passed to the node. Does not affect execution.
             destinations: Destinations that indicate where a node can route to.
 
                 Useful for edgeless graphs with nodes that return `Command` objects.
@@ -890,7 +880,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
-                trace_policy=trace_policy,
             )
         elif inferred_input_schema is not None:
             self.nodes[node] = StateNodeSpec(
@@ -903,7 +892,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
-                trace_policy=trace_policy,
             )
         else:
             self.nodes[node] = StateNodeSpec[StateT, ContextT](
@@ -916,7 +904,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
-                trace_policy=trace_policy,
             )
 
         input_schema = input_schema or inferred_input_schema
@@ -1543,7 +1530,6 @@ class CompiledStateGraph(
                 error_handler_node=node.error_handler_node,
                 bound=node.runnable,  # type: ignore[arg-type]
                 timeout=node.timeout,
-                trace_policy=node.trace_policy,
             )
         else:
             raise RuntimeError

libs/langgraph/langgraph/pregel/_read.py

@@ -16,7 +16,7 @@ from langgraph._internal._timeout import coerce_timeout_policy
 from langgraph.pregel._utils import find_subgraph_pregel
 from langgraph.pregel._write import ChannelWrite
 from langgraph.pregel.protocol import PregelProtocol
-from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy, TracePolicy
+from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy
 
 READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
@@ -138,9 +138,6 @@ class PregelNode:
     metadata: Mapping[str, Any] | None
     """Metadata to attach to the node for tracing."""
 
-    trace_policy: TracePolicy | None
-    """Optional policy controlling what this node records on its trace run."""
-
     is_error_handler: bool
     """Whether this node is registered as an error handler node."""
 
@@ -159,7 +156,6 @@ class PregelNode:
         writers: list[Runnable] | None = None,
         tags: list[str] | None = None,
         metadata: Mapping[str, Any] | None = None,
-        trace_policy: TracePolicy | None = None,
         bound: Runnable[Any, Any] | None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
@@ -181,7 +177,6 @@ class PregelNode:
         self.timeout = coerce_timeout_policy(timeout)
         self.tags = tags
         self.metadata = metadata
-        self.trace_policy = trace_policy
         self.is_error_handler = is_error_handler
         self.error_handler_node = error_handler_node
         if subgraphs is not None:
@@ -227,23 +222,14 @@ class PregelNode:
     def node(self) -> Runnable[Any, Any] | None:
         """Get a runnable that combines `bound` and `writers`."""
         writers = self.flat_writers
-        trace_inputs = self.trace_policy.process_inputs if self.trace_policy else None
-        trace_outputs = self.trace_policy.process_outputs if self.trace_policy else None
         if self.bound is DEFAULT_BOUND and not writers:
             return None
         elif self.bound is DEFAULT_BOUND and len(writers) == 1:
             return writers[0]
         elif self.bound is DEFAULT_BOUND:
-            return RunnableSeq(
-                *writers, trace_inputs=trace_inputs, trace_outputs=trace_outputs
-            )
+            return RunnableSeq(*writers)
         elif writers:
-            return RunnableSeq(
-                self.bound,
-                *writers,
-                trace_inputs=trace_inputs,
-                trace_outputs=trace_outputs,
-            )
+            return RunnableSeq(self.bound, *writers)
         else:
             return self.bound
 

libs/langgraph/langgraph/stream/run_stream.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import asyncio
 from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mapping
 from types import MappingProxyType, TracebackType
-from typing import TYPE_CHECKING, Any, NoReturn
+from typing import TYPE_CHECKING, Any
 
 from langchain_core._api import beta
 
@@ -33,21 +33,6 @@ async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
         pass
 
 
-def _missing_projection(run: object, name: str) -> NoReturn:
-    """Raise for a projection name that was never registered.
-
-    Reads the mux out of `__dict__` because `__getattr__` also fires before
-    `__init__` assigns `_mux` and for dunder probes, where `run._mux` would
-    recurse until the stack is exhausted.
-    """
-    mux = run.__dict__.get("_mux")
-    registered = sorted(mux.native_keys) if mux is not None else []
-    raise AttributeError(
-        f"{type(run).__name__!r} object has no attribute {name!r} "
-        f"(registered projections: {', '.join(registered) or 'none'})"
-    )
-
-
 @beta(message="The v3 streaming protocol on Pregel is experimental.")
 class GraphRunStream:
     """Sync run stream with caller-driven pumping.
@@ -69,32 +54,15 @@ class GraphRunStream:
         experimental and may change.
     """
 
-    # Native projections, attached dynamically by the `setattr` loop in
-    # `__init__` and declared here so type checkers see them.
-    #
-    # Always registered by `stream_events(version="v3")`:
+    # Native projections always registered by `stream_events(version="v3")`.
+    # Attached dynamically by the `setattr` loop in `__init__`; declared here
+    # so type checkers see them. Opt-in native projections (`updates`,
+    # `custom`, `checkpoints`, `debug`, `tasks`) are only present when their
+    # transformer is registered, so they are reached via `extensions[...]`.
     values: StreamChannel[dict[str, Any]]
     messages: StreamChannel[ChatModelStream]
     lifecycle: StreamChannel[LifecyclePayload]
     subgraphs: StreamChannel[SubgraphRunStream]
-    # Registered on demand via `compile(transformers=...)` or
-    # `stream_events(transformers=...)`; reading one whose transformer was not
-    # registered raises AttributeError. Projections contributed by transformers
-    # outside this package are covered by `__getattr__` instead.
-    updates: StreamChannel[dict[str, Any]]
-    custom: StreamChannel[Any]
-    checkpoints: StreamChannel[dict[str, Any]]
-    debug: StreamChannel[dict[str, Any]]
-    tasks: StreamChannel[dict[str, Any]]
-
-    def __getattr__(self, name: str) -> StreamChannel[Any]:
-        """Type the projections of transformers declared outside this package.
-
-        Projection names come from a registry, so no annotation here can name
-        them all. The cost is that a misspelling type-checks too, and fails at
-        runtime instead.
-        """
-        _missing_projection(self, name)
 
     def __init__(
         self,
@@ -377,24 +345,15 @@ class AsyncGraphRunStream:
         experimental and may change.
     """
 
-    # Native projections, attached dynamically by the `setattr` loop in
-    # `__init__` and declared here so type checkers see them.
-    #
-    # Always registered by `astream_events(version="v3")`:
+    # Native projections always registered by `astream_events(version="v3")`.
+    # Attached dynamically by the `setattr` loop in `__init__`; declared here
+    # so type checkers see them. Opt-in native projections (`updates`,
+    # `custom`, `checkpoints`, `debug`, `tasks`) are only present when their
+    # transformer is registered, so they are reached via `extensions[...]`.
     values: StreamChannel[dict[str, Any]]
     messages: StreamChannel[AsyncChatModelStream]
     lifecycle: StreamChannel[LifecyclePayload]
     subgraphs: StreamChannel[AsyncSubgraphRunStream]
-    # Registered on demand; see `GraphRunStream`.
-    updates: StreamChannel[dict[str, Any]]
-    custom: StreamChannel[Any]
-    checkpoints: StreamChannel[dict[str, Any]]
-    debug: StreamChannel[dict[str, Any]]
-    tasks: StreamChannel[dict[str, Any]]
-
-    def __getattr__(self, name: str) -> StreamChannel[Any]:
-        """Type projections declared elsewhere. See `GraphRunStream`."""
-        _missing_projection(self, name)
 
     def __init__(
         self,

libs/langgraph/langgraph/types.py

@@ -70,8 +70,6 @@ __all__ = (
     "RetryPolicy",
     "TimeoutPolicy",
     "CachePolicy",
-    "TracePolicy",
-    "omit_payload",
     "Interrupt",
     "StateUpdate",
     "PregelTask",
@@ -529,44 +527,6 @@ class CachePolicy(Generic[KeyFuncT]):
     """Time to live for the cache entry in seconds. If `None`, the entry never expires."""
 
 
-@dataclass(**_DC_KWARGS)
-class TracePolicy:
-    """Configuration for how a node's run is traced.
-
-    Scope: this only transforms what the node's *own* run records. Child runs created
-    by a traced `bound` runnable and the root graph run are not affected. Plain
-    function nodes are traced with `trace=False`, so they have no such child runs.
-
-    Not intended to redact secrets. To redact inputs/outputs across all runs
-    (children included), use the LangSmith client's
-    `hide_inputs`/`hide_outputs`/`anonymizer` instead.
-
-    Each processor receives the node's raw input/output value (not a normalized
-    kwargs dict) and returns the value to record.
-    """
-
-    process_inputs: Callable[[Any], Any] | None = None
-    """Optional callable to transform the node's input before it is recorded on the
-    node's trace run. Can be used to omit or summarize large payloads
-    (e.g. message history). Not intended to affect the value passed to the node; avoid
-    mutating arguments in place."""
-
-    process_outputs: Callable[[Any], Any] | None = None
-    """Optional callable to transform the node's output before it is recorded on the
-    node's trace run. Can be used to omit or summarize large payloads
-    (e.g. message history). Not intended to affect the value returned by the node; avoid
-    mutating arguments in place."""
-
-
-def omit_payload(_value: Any) -> dict[str, Any]:
-    """`TracePolicy` helper that records an empty payload, dropping the value entirely.
-
-    Use as `process_inputs` and/or `process_outputs` on a `TracePolicy` to keep a node's
-    span and its timing while omitting its inputs/outputs from the trace.
-    """
-    return {}
-
-
 _DEFAULT_INTERRUPT_ID = "placeholder-id"
 
 

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.2.11"
+version = "1.2.10"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_delta_channel_migration.py

@@ -616,117 +616,3 @@ async def test_add_messages_to_delta_migration_preserves_message_history_async()
     assert [m.id for m in snap.values["messages"]] == ["h1", "a1"], (
         f"async tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
     )
-
-
-# ---------------------------------------------------------------------------
-# 8. First post-migration write, read back cold (regression for #8384)
-#
-# The migration boundary produces a checkpoint that carries BOTH a pre-delta
-# plain-value blob AND the pending write that produced its (delta-era) child.
-# That write is not subsumed by the blob — the blob is the value ENTERING that
-# checkpoint. A saver whose ancestor walk skips the seed checkpoint's own
-# writes silently drops the first post-migration write.
-#
-# The failure is invisible to the live `invoke` return value (computed
-# in-memory before persistence), so these tests must assert on a COLD read.
-# It is also invisible at `snapshot_frequency=1`, where every write is its own
-# snapshot boundary and the walk never terminates on a plain value — hence the
-# explicit default-frequency coverage.
-# ---------------------------------------------------------------------------
-
-
-def test_first_post_migration_write_survives_cold_read() -> None:
-    """One non-snapshotting write after migrating a thread to `DeltaChannel`
-    must still be present when the state is read back from the checkpointer.
-
-    Regression for #8384: `invoke` returned the correct value while
-    `get_state` dropped the write permanently.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "first-post-migration"}}
-
-    binop = _binop_graph(checkpointer)
-    binop.invoke({"items": ["a"]}, config)
-
-    delta = _delta_graph(checkpointer)
-    live = delta.invoke({"items": ["b"]}, config)
-    assert list(live["items"]) == ["a", "b"], "live invoke lost the write"
-
-    cold = delta.get_state(config)
-    assert list(cold.values["items"]) == ["a", "b"], (
-        "first post-migration write dropped on cold read: "
-        f"got {list(cold.values['items'])}"
-    )
-
-
-async def test_first_post_migration_write_survives_cold_read_async() -> None:
-    """Async variant of the #8384 regression."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "first-post-migration-async"}}
-
-    binop = _binop_graph(checkpointer)
-    await binop.ainvoke({"items": ["a"]}, config)
-
-    delta = _delta_graph(checkpointer)
-    live = await delta.ainvoke({"items": ["b"]}, config)
-    assert list(live["items"]) == ["a", "b"], "live ainvoke lost the write"
-
-    cold = await delta.aget_state(config)
-    assert list(cold.values["items"]) == ["a", "b"], (
-        "first post-migration write dropped on cold read: "
-        f"got {list(cold.values['items'])}"
-    )
-
-
-def test_post_migration_writes_match_base_saver_fallback() -> None:
-    """Parity across the migration boundary WITH post-migration writes.
-
-    `test_base_saver_fallback_matches_optimized_override` only reads a
-    pre-migration chain, so the optimized override and the reference walk
-    never disagree there. Driving writes after the migration is what
-    separates them.
-    """
-
-    def _run(saver: Any, thread: str) -> list[tuple[Any, list]]:
-        config = {"configurable": {"thread_id": thread}}
-        _drive(_binop_graph(saver), config, "u", 2)
-        delta = _delta_graph(saver)
-        _drive(delta, config, "d", 3)
-        return [
-            (s.next, list(s.values.get("items", [])))
-            for s in delta.get_state_history(config)
-        ]
-
-    fast = _run(InMemorySaver(), "fast")
-    slow = _run(_ThirdPartyStyleSaver(), "slow")
-
-    assert fast == slow, (
-        "optimized override diverges from the base-saver fallback once "
-        f"post-migration writes exist; fast={fast}, slow={slow}"
-    )
-    # Guard the assertion above against both paths being wrong in the same way.
-    assert fast[0][1] == ["u0", "u1", "d0", "d1", "d2"], (
-        f"unexpected accumulated state: {fast[0][1]}"
-    )
-
-
-def test_add_messages_migration_keeps_first_post_migration_message() -> None:
-    """The `add_messages` -> `DeltaChannel` path is the one Deep Agents takes;
-    dropping the first post-migration write loses a real user message.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "add-messages-first-write"}}
-
-    pre_graph = _add_messages_graph(checkpointer)
-    pre_graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
-
-    delta_graph = _delta_messages_graph(checkpointer)
-    delta_graph.invoke({"messages": [HumanMessage(content="second", id="h2")]}, config)
-
-    ids = [m.id for m in delta_graph.get_state(config).values["messages"]]
-    # h1 is the pre-migration seed, h2 the write that was being dropped; both
-    # have to survive, and in order.
-    assert ids == ["h1", "h2"], f"expected ['h1', 'h2'], got {ids}"

libs/langgraph/tests/test_delta_channel_parallel_order.py

@@ -0,0 +1,184 @@
+"""Tests that `DeltaChannel` replay preserves live parallel-write order.
+
+Regression suite for #8382.
+
+`apply_writes` sorts a super-step's tasks by `task_path_str(task.path[:3])`
+before handing their values to `channel.update`, so the order a reducer sees is
+deterministic and independent of which parallel task finishes first. Replay has
+to recover that same order. Ordering a checkpoint's writes by `(task_id, idx)`
+does not: `task_id` is a hash of the path, so for two or more tasks writing one
+`DeltaChannel` in a single super-step it yields an effectively arbitrary
+permutation. Reducers are required to be batching-invariant, not
+order-invariant, so the permutation changes the reconstructed value.
+
+Every test runs against the full `async_checkpointer` matrix — memory, sqlite,
+and postgres in three pool modes — because each saver reconstructs delta
+channels through its own `aget_delta_channel_history` override rather than a
+shared code path, and the three stored `task_path` differently before this fix.
+"""
+
+from itertools import pairwise
+from typing import Annotated, Any
+
+import pytest
+from langgraph.checkpoint.base import BaseCheckpointSaver
+from typing_extensions import TypedDict
+
+from langgraph.channels.delta import DeltaChannel
+from langgraph.graph import END, START, StateGraph
+
+pytestmark = pytest.mark.anyio
+
+# Node names double as the values written. They are listed in sorted order,
+# which is also the order live execution applies them: each node is a PULL task
+# whose path is `("__pregel_pull", name)`, so sorting paths sorts by name.
+FAN_OUT_NAMES = ["a", "b", "c", "d", "e", "f", "g", "h"]
+
+
+def _append_reducer(current: list, updates: list) -> list:
+    """Order-sensitive list accumulation, as in the `DeltaChannel` docstring."""
+    result = list(current)
+    for update in updates:
+        if isinstance(update, list):
+            result.extend(update)
+        else:
+            result.append(update)
+    return result
+
+
+def _build_graph(checkpointer: BaseCheckpointSaver, *, sequential: bool = False) -> Any:
+    """Compile a `DeltaChannel`-backed `items` graph over `FAN_OUT_NAMES`.
+
+    By default every node is wired off `START`, so they all write `items` in one
+    super-step — the shape #8382 is about. `sequential=True` chains them
+    instead, giving one writer per super-step as a control.
+
+    `snapshot_frequency` is far above the number of updates these tests make, so
+    no snapshot is ever written and the value has to come from replaying
+    ancestor writes — the path under test.
+    """
+
+    class State(TypedDict):
+        items: Annotated[
+            list, DeltaChannel(_append_reducer, list, snapshot_frequency=10_000)
+        ]
+
+    def make_node(label: str) -> Any:
+        def node(state: State) -> dict:
+            return {"items": [label]}
+
+        return node
+
+    builder = StateGraph(State)
+    for name in FAN_OUT_NAMES:
+        builder.add_node(name, make_node(name))
+    if sequential:
+        for source, target in pairwise([START, *FAN_OUT_NAMES, END]):
+            builder.add_edge(source, target)
+    else:
+        for name in FAN_OUT_NAMES:
+            builder.add_edge(START, name)
+            builder.add_edge(name, END)
+    return builder.compile(checkpointer=checkpointer)
+
+
+async def test_get_state_matches_live_invoke_order(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """A cold read reports the same order `invoke` returned."""
+    graph = _build_graph(async_checkpointer)
+    config = {"configurable": {"thread_id": "1"}}
+
+    live = (await graph.ainvoke({"items": []}, config))["items"]
+    replayed = (await graph.aget_state(config)).values["items"]
+
+    assert live == FAN_OUT_NAMES
+    assert replayed == live
+
+
+async def test_continuing_thread_preserves_committed_prefix(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """A second run appends without reordering the first run's items.
+
+    The more serious half of #8382: the reordered replay becomes the base that
+    later writes build on, so the corruption is persisted rather than confined
+    to a read.
+    """
+    graph = _build_graph(async_checkpointer)
+    config = {"configurable": {"thread_id": "1"}}
+
+    first = (await graph.ainvoke({"items": []}, config))["items"]
+    second = (await graph.ainvoke({"items": []}, config))["items"]
+
+    assert second == first + first
+    assert (await graph.aget_state(config)).values["items"] == second
+
+
+async def test_order_stable_across_many_supersteps(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Order holds over a chain spanning several supersteps with no snapshot."""
+    runs = 5
+    graph = _build_graph(async_checkpointer)
+    config = {"configurable": {"thread_id": "1"}}
+
+    for _ in range(runs):
+        live = (await graph.ainvoke({"items": []}, config))["items"]
+
+    assert live == FAN_OUT_NAMES * runs
+    assert (await graph.aget_state(config)).values["items"] == live
+
+
+async def test_state_history_reports_live_order_at_every_step(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Every checkpoint in the history replays in live order.
+
+    Guards the walk at intermediate depths, not just from the head. Entries are
+    checked against the order live execution produced rather than against the
+    replayed head — comparing replayed values only to each other passes even
+    when every one of them is permuted the same wrong way.
+    """
+    runs = 3
+    graph = _build_graph(async_checkpointer)
+    config = {"configurable": {"thread_id": "1"}}
+
+    for _ in range(runs):
+        await graph.ainvoke({"items": []}, config)
+    live_expected = FAN_OUT_NAMES * runs
+
+    seen = [
+        snapshot.values["items"]
+        async for snapshot in graph.aget_state_history(config)
+        if "items" in snapshot.values
+    ]
+
+    assert seen, "expected at least one snapshot carrying `items`"
+    # The deepest entry is the head, so the matrix below covers the full value
+    # as well as every partial prefix.
+    assert max(len(values) for values in seen) == len(live_expected)
+    for values in seen:
+        assert values == live_expected[: len(values)], (
+            f"history entry {values} is not the live order "
+            f"{live_expected[: len(values)]}"
+        )
+
+
+async def test_sequential_graph_unaffected(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """One writer per super-step replays correctly with or without the fix.
+
+    Control: it localises #8382 to multiple tasks writing one channel in a
+    single super-step, rather than to delta replay in general. This is the one
+    test here that passes on main.
+    """
+    graph = _build_graph(async_checkpointer, sequential=True)
+    config = {"configurable": {"thread_id": "1"}}
+
+    live = (await graph.ainvoke({"items": []}, config))["items"]
+    replayed = (await graph.aget_state(config)).values["items"]
+
+    assert live == FAN_OUT_NAMES
+    assert replayed == live

libs/langgraph/tests/test_stream_events_v3.py

@@ -6,7 +6,6 @@ Type-narrowing is validated via `assert_type` calls in `_check_type_narrowing`.
 
 from __future__ import annotations
 
-import copy
 import operator
 import sys
 from dataclasses import dataclass
@@ -35,10 +34,8 @@ from langgraph.stream import (
     GraphRunStream,
     LifecyclePayload,
     StreamChannel,
-    StreamTransformer,
     SubgraphRunStream,
 )
-from langgraph.stream._types import ProtocolEvent
 from langgraph.types import (
     CheckpointPayload,
     CheckpointStreamPart,
@@ -1202,29 +1199,6 @@ def _check_type_narrowing(part: StreamPart[_StateT, _OutputT]) -> None:
 # type and the always-registered native projections.
 
 
-class _MarkerTransformer(StreamTransformer):
-    """Native transformer contributing a key this module doesn't declare.
-
-    Stands in for any transformer defined outside this package — projections
-    whose names `GraphRunStream` can't enumerate, so they resolve through
-    `__getattr__` instead of a class annotation.
-    """
-
-    _native = True
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._log: StreamChannel[str] = StreamChannel()
-
-    def init(self) -> dict[str, Any]:
-        return {"marker": self._log}
-
-    def process(self, event: ProtocolEvent) -> bool:
-        if event["method"] == "values":
-            self._log.push("saw_values")
-        return True
-
-
 def _check_stream_events_v3_typing() -> None:
     """Compile-time checks for sync v3 typing — never called at runtime."""
     graph = _make_simple_graph().compile()
@@ -1234,16 +1208,6 @@ def _check_stream_events_v3_typing() -> None:
     assert_type(run.messages, StreamChannel[ChatModelStream])
     assert_type(run.lifecycle, StreamChannel[LifecyclePayload])
     assert_type(run.subgraphs, StreamChannel[SubgraphRunStream])
-    # Opt-in projections from transformers this package ships carry their real
-    # item type even though they are only present once registered.
-    assert_type(run.updates, StreamChannel[dict[str, Any]])
-    assert_type(run.custom, StreamChannel[Any])
-    assert_type(run.checkpoints, StreamChannel[dict[str, Any]])
-    assert_type(run.debug, StreamChannel[dict[str, Any]])
-    assert_type(run.tasks, StreamChannel[dict[str, Any]])
-    # Projections this module can't enumerate resolve through `__getattr__`
-    # as `StreamChannel[Any]` rather than failing with attr-defined.
-    assert_type(run.marker, StreamChannel[Any])
 
 
 async def _check_astream_events_v3_typing() -> None:
@@ -1255,66 +1219,3 @@ async def _check_astream_events_v3_typing() -> None:
     assert_type(run.messages, StreamChannel[AsyncChatModelStream])
     assert_type(run.lifecycle, StreamChannel[LifecyclePayload])
     assert_type(run.subgraphs, StreamChannel[AsyncSubgraphRunStream])
-    assert_type(run.updates, StreamChannel[dict[str, Any]])
-    assert_type(run.custom, StreamChannel[Any])
-    assert_type(run.checkpoints, StreamChannel[dict[str, Any]])
-    assert_type(run.debug, StreamChannel[dict[str, Any]])
-    assert_type(run.tasks, StreamChannel[dict[str, Any]])
-    assert_type(run.marker, StreamChannel[Any])
-
-
-def test_undeclared_native_projection_is_attached() -> None:
-    """A native projection this module doesn't declare still works at runtime.
-
-    `__getattr__` is a type-checker fallback only — it must not shadow the
-    `setattr` loop that attaches registered native projections.
-    """
-    graph = _make_simple_graph().compile()
-    run = graph.stream_events(
-        _SIMPLE_INPUT, version="v3", transformers=[_MarkerTransformer]
-    )
-
-    marker_iter = iter(run.marker)
-    assert run.output is not None
-    assert run.marker is run.extensions["marker"]
-    assert "saw_values" in list(marker_iter)
-
-
-def test_unregistered_projection_raises_attribute_error() -> None:
-    """An unregistered projection name still fails at runtime.
-
-    The `__getattr__` fallback exists to satisfy type checkers; it must not
-    make unknown names resolve to anything. The message lists what *is*
-    registered so a typo is diagnosable from the traceback alone.
-    """
-    graph = _make_simple_graph().compile()
-    run = graph.stream_events(_SIMPLE_INPUT, version="v3")
-
-    # `marker` type-checks via `__getattr__` but was never registered here.
-    with pytest.raises(AttributeError) as exc_info:
-        run.marker
-
-    message = str(exc_info.value)
-    assert "marker" in message
-    # The always-registered natives are listed as the alternatives.
-    assert "messages" in message
-
-    # Registered projections still resolve, and the run is unaffected.
-    assert isinstance(run.messages, StreamChannel)
-    assert run.output is not None
-
-
-def test_getattr_fallback_does_not_recurse_before_init() -> None:
-    """`__getattr__` reads the mux from `__dict__`, so it is safe pre-init.
-
-    `self._mux` would re-enter `__getattr__` and overflow the stack when the
-    attribute is missing, which is reachable via `hasattr` / `copy` / pickle
-    probing on a partially constructed instance.
-    """
-    bare = GraphRunStream.__new__(GraphRunStream)
-
-    with pytest.raises(AttributeError, match="anything"):
-        bare.anything
-
-    assert hasattr(bare, "anything") is False
-    assert copy.copy(bare) is not None

libs/langgraph/tests/test_trace_policy.py

@@ -1,149 +0,0 @@
-"""End-to-end tests for `TracePolicy` input processing on node trace runs."""
-
-from typing import Any
-
-import pytest
-from typing_extensions import TypedDict
-
-from langgraph.graph import END, START, StateGraph
-from langgraph.types import TracePolicy
-from tests.fake_tracer import FakeTracer, Run
-
-
-class State(TypedDict):
-    value: int
-
-
-def _node_run(tracer: FakeTracer, name: str) -> Run:
-    return next(r for r in tracer.flattened_runs() if r.name == name)
-
-
-def _incr(state: State) -> State:
-    return {"value": state["value"] + 1}
-
-
-def test_trace_policy_transforms_recorded_inputs() -> None:
-    seen: dict[str, Any] = {}
-
-    def process_inputs(inp: Any) -> Any:
-        seen["inputs"] = inp
-        return {"scrubbed_in": True}
-
-    graph = (
-        StateGraph(State)
-        .add_node("n", _incr, trace_policy=TracePolicy(process_inputs=process_inputs))
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    tracer = FakeTracer()
-    # the real graph output is unaffected by the trace policy
-    assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
-
-    run = _node_run(tracer, "n")
-    # the recorded input is transformed; the output is recorded as-is
-    assert run.inputs == {"scrubbed_in": True}
-    assert run.outputs == {"value": 2}
-    # process_inputs observed the real, untransformed input
-    assert seen["inputs"] == {"value": 1}
-
-
-def test_trace_policy_transforms_recorded_outputs() -> None:
-    seen: dict[str, Any] = {}
-
-    def process_outputs(out: Any) -> Any:
-        seen["outputs"] = out
-        return {"scrubbed_out": True}
-
-    graph = (
-        StateGraph(State)
-        .add_node("n", _incr, trace_policy=TracePolicy(process_outputs=process_outputs))
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    tracer = FakeTracer()
-    # the real graph output is unaffected by the trace policy
-    assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
-
-    run = _node_run(tracer, "n")
-    # the recorded output is transformed; the input is recorded as-is
-    assert run.inputs == {"value": 1}
-    assert run.outputs == {"scrubbed_out": True}
-    # process_outputs observed the real, untransformed output
-    assert seen["outputs"] == {"value": 2}
-
-
-def test_trace_policy_none_records_real_payloads() -> None:
-    graph = (
-        StateGraph(State)
-        .add_node("n", _incr)
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    tracer = FakeTracer()
-    assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
-
-    run = _node_run(tracer, "n")
-    assert run.inputs == {"value": 1}
-    assert run.outputs == {"value": 2}
-
-
-def test_trace_policy_processor_error_safe_without_callbacks() -> None:
-    def boom(_inp: Any) -> Any:
-        raise RuntimeError("processor failed")
-
-    graph = (
-        StateGraph(State)
-        .add_node("n", _incr, trace_policy=TracePolicy(process_inputs=boom))
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    # no callbacks: the processor still runs but is fail-open, so execution is unaffected
-    assert graph.invoke({"value": 1}) == {"value": 2}
-
-
-def test_trace_policy_processor_error_does_not_break_execution() -> None:
-    def boom(_inp: Any) -> Any:
-        raise RuntimeError("processor failed")
-
-    graph = (
-        StateGraph(State)
-        .add_node("n", _incr, trace_policy=TracePolicy(process_inputs=boom))
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    tracer = FakeTracer()
-    # a raising processor must not abort the node; the untransformed input is recorded
-    assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
-    assert _node_run(tracer, "n").inputs == {"value": 1}
-
-
-@pytest.mark.anyio
-async def test_trace_policy_transforms_recorded_inputs_async() -> None:
-    graph = (
-        StateGraph(State)
-        .add_node(
-            "n",
-            _incr,
-            trace_policy=TracePolicy(process_inputs=lambda _: {"scrubbed_in": True}),
-        )
-        .add_edge(START, "n")
-        .add_edge("n", END)
-        .compile()
-    )
-
-    tracer = FakeTracer()
-    assert await graph.ainvoke({"value": 5}, {"callbacks": [tracer]}) == {"value": 6}
-
-    run = _node_run(tracer, "n")
-    assert run.inputs == {"scrubbed_in": True}
-    assert run.outputs == {"value": 6}

libs/langgraph/uv.lock

@@ -28,16 +28,16 @@ wheels = [
 
 [[package]]
 name = "anyio"
-version = "4.14.2"
+version = "4.14.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/3b/72/5562aabb8dd7181e8e860622a38bea08d17842b99ecd4c91f84ac95251b0/anyio-4.14.1.tar.gz", hash = "sha256:8d648a3544c1a700e3ff78615cd679e4c5c3f149904287e73687b2596963629e", size = 254831, upload-time = "2026-06-24T20:56:06.017Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/7b/90df4a0a816d98d6ea26f559d87836d494a2cf1fcf063be67df50a7bcc30/anyio-4.14.1-py3-none-any.whl", hash = "sha256:4e5533c5b8ff0a24f5d7a176cbe6877129cd183893f66b537f8f227d10527d72", size = 124875, upload-time = "2026-06-24T20:56:04.413Z" },
 ]
 
 [[package]]
@@ -193,7 +193,7 @@ name = "blockbuster"
 version = "1.5.26"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "forbiddenfruit", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and implementation_name == 'cpython'" },
+    { name = "forbiddenfruit", marker = "implementation_name == 'cpython'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/55/e0/dcbab602790a576b0b94108c07e2c048e5897df7cc83722a89582d733987/blockbuster-1.5.26.tar.gz", hash = "sha256:cc3ce8c70fa852a97ee3411155f31e4ad2665cd1c6c7d2f8bb1851dab61dc629", size = 36085, upload-time = "2025-12-05T10:43:47.735Z" }
 wheels = [
@@ -385,7 +385,7 @@ name = "click"
 version = "8.4.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "python_full_version < '3.14' and sys_platform == 'win32'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/76/d4/81420972a676e8ffea40450d8c8c92943e7218a78fe9b64359836cc9876b/click-8.4.2.tar.gz", hash = "sha256:9a6cea6e60b17ebe0a44c5cc636d94f09bd66142c1cd7d8b4cd731c4917a15f6", size = 338000, upload-time = "2026-06-24T17:45:15.148Z" }
 wheels = [
@@ -528,7 +528,7 @@ name = "croniter"
 version = "6.2.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "python-dateutil", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "python-dateutil" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/df/de/5832661ed55107b8a09af3f0a2e71e0957226a59eb1dcf0a445cce6daf20/croniter-6.2.2.tar.gz", hash = "sha256:ba60832a5ec8e12e51b8691c3309a113d1cf6526bdf1a48150ce8ec7a532d0ab", size = 113762, upload-time = "2026-03-15T08:43:48.112Z" }
 wheels = [
@@ -540,7 +540,7 @@ name = "cryptography"
 version = "50.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
+    { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/de/41/6cbdcf9142d00fe82836fbb51e503e58088575cf7a0fe1dbff6695bf0840/cryptography-50.0.0.tar.gz", hash = "sha256:eeac2acb5a20ed25e0ad6d1df9891a520b78b404266b6d11778f25d5d691a6c9", size = 880201, upload-time = "2026-07-31T14:25:10.11Z" }
 wheels = [
@@ -643,7 +643,7 @@ name = "exceptiongroup"
 version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+    { name = "typing-extensions" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
 wheels = [
@@ -697,7 +697,7 @@ name = "googleapis-common-protos"
 version = "1.72.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "protobuf", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "protobuf" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/e5/7b/adfd75544c415c487b33061fe7ae526165241c1ea133f9a9125a56b39fd8/googleapis_common_protos-1.72.0.tar.gz", hash = "sha256:e55a601c1b32b52d7a3e65f43563e2aa61bcd737998ee672ac9b951cd49319f5", size = 147433, upload-time = "2025-11-06T18:29:24.087Z" }
 wheels = [
@@ -709,7 +709,7 @@ name = "grpcio"
 version = "1.80.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "typing-extensions" },
 ]
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@@ -1582,38 +1582,38 @@ name = "langgraph-api"
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+    { name = "grpcio-health-checking" },
+    { name = "grpcio-tools" },
+    { name = "httptools", marker = "sys_platform != 'win32'" },
+    { name = "httpx" },
+    { name = "jsonschema-rs" },
+    { name = "langchain-core" },
+    { name = "langchain-protocol" },
+    { name = "langgraph" },
+    { name = "langgraph-checkpoint" },
+    { name = "langgraph-runtime-inmem" },
+    { name = "langgraph-sdk" },
+    { name = "langsmith", extra = ["otel"] },
+    { name = "opentelemetry-api" },
+    { name = "opentelemetry-exporter-otlp-proto-http" },
+    { name = "opentelemetry-sdk" },
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+    { name = "starlette" },
+    { name = "structlog" },
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+    { name = "uuid-utils" },
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@@ -1622,7 +1622,7 @@ wheels = [
 
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@@ -1670,7 +1670,7 @@ test = [
 
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@@ -1766,12 +1766,12 @@ test = [
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-    { name = "httpx", marker = "python_full_version < '3.14'" },
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-    { name = "structlog", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "blockbuster" },
+    { name = "croniter" },
+    { name = "langgraph" },
+    { name = "langgraph-checkpoint" },
+    { name = "sse-starlette" },
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@@ -1916,13 +1916,13 @@ dev = [
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     { name = "pytest-mock" },
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-    { name = "opentelemetry-sdk", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "opentelemetry-api" },
+    { name = "opentelemetry-exporter-otlp-proto-http" },
+    { name = "opentelemetry-sdk" },
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 dependencies = [
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 ]
 
 [[package]]

libs/prebuilt/README.md

@@ -37,7 +37,6 @@ uv add langchain-anthropic
 from langchain_anthropic import ChatAnthropic
 from langgraph.prebuilt import create_react_agent
 
-
 # Define the tools for the agent to use
 def search(query: str):
     """Call to surf the web."""
@@ -46,7 +45,6 @@ def search(query: str):
         return "It's 60 degrees and foggy."
     return "It's 90 degrees and sunny."
 
-
 tools = [search]
 model = ChatAnthropic(model="claude-3-7-sonnet-latest")
 
@@ -67,7 +65,6 @@ app.invoke(
 from langgraph.prebuilt import ToolNode
 from langchain_core.messages import AIMessage
 
-
 def search(query: str):
     """Call to surf the web."""
     # This is a placeholder, but don't tell the LLM that...
@@ -75,11 +72,8 @@ def search(query: str):
         return "It's 60 degrees and foggy."
     return "It's 90 degrees and sunny."
 
-
 tool_node = ToolNode([search])
-tool_calls = [
-    {"name": "search", "args": {"query": "what is the weather in sf"}, "id": "1"}
-]
+tool_calls = [{"name": "search", "args": {"query": "what is the weather in sf"}, "id": "1"}]
 ai_message = AIMessage(content="", tool_calls=tool_calls)
 # execute tool call
 tool_node.invoke({"messages": [ai_message]})
@@ -104,17 +98,10 @@ class SelectNumber(BaseModel):
             raise ValueError("Only 37 is allowed")
         return v
 
-
 validation_node = ValidationNode([SelectNumber])
-validation_node.invoke(
-    {
-        "messages": [
-            AIMessage(
-                "", tool_calls=[{"name": "SelectNumber", "args": {"a": 42}, "id": "1"}]
-            )
-        ]
-    }
-)
+validation_node.invoke({
+    "messages": [AIMessage("", tool_calls=[{"name": "SelectNumber", "args": {"a": 42}, "id": "1"}])]
+})
 ```
 
 ## Agent Inbox

libs/prebuilt/uv.lock

@@ -168,7 +168,7 @@ name = "exceptiongroup"
 version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+    { name = "typing-extensions" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
 wheels = [
@@ -285,7 +285,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.2.11"
+version = "1.2.10"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.2.0"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.2"
+version = "3.1.1"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -625,13 +625,13 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.16.1" },
+    { name = "ruff", specifier = "==0.15.20" },
     { name = "starlette" },
     { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "ruff", specifier = "==0.16.1" },
+    { name = "ruff", specifier = "==0.15.20" },
     { name = "starlette" },
     { name = "ty" },
 ]

libs/sdk-py/MIGRATION.md

@@ -87,9 +87,7 @@ async with client.threads.stream(assistant_id="agent") as thread:
 
 ```python
 async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(
-        input={"messages": [{"role": "user", "content": "book a flight"}]}
-    )
+    await thread.run.start(input={"messages": [{"role": "user", "content": "book a flight"}]})
 
     # Wait for the run to pause at an interrupt node.
     # thread.interrupted becomes True when input.requested arrives.

libs/sdk-py/README.md

@@ -43,9 +43,7 @@ thread = await client.threads.create()
 
 # Start a streaming run
 input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
-async for chunk in client.runs.stream(
-    thread["thread_id"], agent["assistant_id"], input=input
-):
+async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
     print(chunk)
 ```
 
@@ -82,9 +80,9 @@ async with client.threads.stream(
     messages, tool_calls = await asyncio.gather(get_messages(), get_tool_calls())
 
     for stream in messages:
-        print(await stream.text)  # accumulated text
+        print(await stream.text)          # accumulated text
 
-    final = await thread.output  # terminal state values
+    final = await thread.output           # terminal state values
 ```
 
 ## 📕 Releases & Versioning

libs/sdk-py/langgraph_sdk/schema.py

@@ -963,7 +963,7 @@ class _BaseModelLike(Protocol):
     ) -> dict[str, Any]: ...
 
 
-_JSONLike: TypeAlias = str | int | float | bool | None
+_JSONLike: TypeAlias = None | str | int | float | bool
 _JSONMap: TypeAlias = Mapping[
     str, Union[_JSONLike, list[_JSONLike], "_JSONMap", list["_JSONMap"]]
 ]

libs/sdk-py/pyproject.toml

@@ -36,7 +36,7 @@ test = [
     "pytest-watch",
 ]
 lint = [
-    "ruff==0.16.1",
+    "ruff==0.15.20",
     "codespell",
     "ty",
     "starlette",

libs/sdk-py/uv.lock

@@ -154,11 +154,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.3"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/80/19/45e941380f69c042b43423513d201e6592346f992394347f5e7174c31407/codespell-2.4.3.tar.gz", hash = "sha256:cbe085e331227b37bb86ef8bddd08dc768c704ee9a07ca869852c093fa2793e2", size = 352773, upload-time = "2026-07-15T11:51:54.159Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
 ]
 
 [[package]]
@@ -266,7 +266,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.5.3"
+version = "1.4.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -279,9 +279,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/65/3e/63af6b9d76d9be907c7c524d6ec18a2efed7e0e2d123fea0230d78dbd73f/langchain_core-1.5.3.tar.gz", hash = "sha256:a56457ac444fef41e9404443c187f0ecea708d36e816ea4ba9573c027f7d1a2d", size = 972461, upload-time = "2026-07-30T14:55:55.833Z" }
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