release(sdk-py): 0.4.3 (#8657)

## Summary

Release `langgraph-sdk` 0.4.3, including `DecryptResult` support.

## Test plan

- `make format`
- `make lint`
- `make test`

.gitignore

@@ -77,6 +77,10 @@ __pypackages__/
 # Environments
 .env
 .envrc
+*.crt
+*.key
+*.pem
+credentials.json
 .venv
 .venvs
 env/
@@ -98,6 +102,7 @@ dmypy.json
 
 .vercel
 .turbo
+node_modules/
 .editorconfig
 .scratch
 .worktrees/

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

@@ -6,9 +6,12 @@ import traceback
 from collections.abc import Callable
 from uuid import uuid4
 
-from langgraph.checkpoint.base import BaseCheckpointSaver
+from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
+from langgraph.checkpoint.base.id import uuid6
+from langgraph.checkpoint.serde.types import _DeltaSnapshot
 
 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(
@@ -48,8 +51,6 @@ 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"]
@@ -81,11 +82,6 @@ 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": ""}}
@@ -161,11 +157,6 @@ 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
@@ -208,90 +199,71 @@ async def test_history_migration_plain_value_as_seed(
     assert values == [2], f"Expected [2], got {values}"
 
 
-# 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(
+async def test_history_seed_ancestor_own_writes_are_replayed(
     saver: BaseCheckpointSaver,
 ) -> None:
-    """Writes from several tasks in one super-step replay in task_path order.
+    """Writes stored AT the seed ancestor must be included in `writes`.
 
-    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.
+    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.
 
-    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.
+    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.
     """
-    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")
+    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']}"
+    )
     values = [w[2] for w in result["ch"]["writes"]]
-    # 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}"
+    assert values == ["at-seed", "after-seed"], (
+        f'Expected ["at-seed", "after-seed"], got {values}'
     )
 
 
@@ -303,8 +275,7 @@ 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_orders_parallel_writes_by_task_path,
-    test_history_orders_pathless_writes_first,
+    test_history_seed_ancestor_own_writes_are_replayed,
 ]
 
 

libs/checkpoint-conformance/uv.lock

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

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

@@ -168,7 +168,6 @@ 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
 
@@ -320,7 +319,7 @@ def _build_delta_stage2_sql(
         branches.append(
             "SELECT 'w'::text AS _kind, "
             "checkpoint_id, channel, "
-            "type, blob, task_id, task_path, idx, NULL::text AS version "
+            "type, blob, task_id, idx, NULL::text AS version "
             "FROM checkpoint_writes "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND checkpoint_id = ANY(%s)"
@@ -328,8 +327,7 @@ 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::text AS task_path, "
-            "NULL::int AS idx, version "
+            "type, blob, NULL::text AS task_id, NULL::int AS idx, version "
             "FROM checkpoint_blobs "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND version = %s"
@@ -494,11 +492,10 @@ 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, task_path)
-        writes_by_ch_by_cid: dict[
-            str, dict[str, list[tuple[str, bytes, str, int, str]]]
-        ] = {ch: {} for ch in channels}
+        # 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
+        }
         # seed_blob_by_ver[(channel, version)] = (type, blob)
         seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
 
@@ -509,17 +506,8 @@ 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, 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"],
-                        ),
+                        "tuple[str, bytes, str, int]",
+                        (r["type"], r["blob"], r["task_id"], r["idx"]),
                     )
                 )
             else:  # kind == "b"
@@ -528,12 +516,10 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                     "tuple[str, bytes]", (r["type"], r["blob"])
                 )
 
-        # 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`.
+        # Sort writes per (channel, cid) newest-first by (task_id, idx)
         for cid_map in writes_by_ch_by_cid.values():
             for ws in cid_map.values():
-                ws.sort(key=lambda w: (w[4], w[2], w[3]), reverse=True)
+                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
 
         result: dict[str, DeltaChannelHistory] = {}
         for ch in channels:
@@ -543,9 +529,7 @@ 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, _path in cid_writes.get(
-                    cid, []
-                ):
+                for type_tag, write_blob, task_id, _idx 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 = "3.1.1"
+version = "3.1.2"
 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 = "4.1.1"
+version = "4.2.0"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -351,7 +351,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.1"
+version = "3.1.2"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },

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

@@ -29,11 +29,6 @@ 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 = (
@@ -159,7 +154,6 @@ 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,
@@ -168,12 +162,6 @@ 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
 
@@ -472,9 +460,9 @@ 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, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, 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, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
         )
         with self.cursor() as cur:
             cur.executemany(
@@ -485,7 +473,6 @@ 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),
@@ -581,7 +568,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                     )
                 cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes, str]]", cur.fetchall()
+                    "list[tuple[str, str, str, int, str, bytes]]", 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, task_path "
+            "SELECT checkpoint_id, channel, task_id, idx, type, value "
             "FROM writes "
             "WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
             f"AND checkpoint_id IN ({cid_placeholders})"
@@ -130,33 +130,29 @@ 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, str]],
+    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
     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, 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.
+    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`.
 
     `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, 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: 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.setdefault(ch, {}).setdefault(cid, []).append(
-            (type_tag, value_blob, task_id, idx, task_path)
+            (type_tag, value_blob, task_id, idx)
         )
     for cid_map in writes_by_ch_by_cid.values():
         for ws in cid_map.values():
-            ws.sort(key=lambda w: (w[4], w[2], w[3]))
+            ws.sort(key=lambda w: (w[2], w[3]))
 
     result: dict[str, DeltaChannelHistory] = {}
     for ch in channels:
@@ -165,7 +161,7 @@ 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, _path in cid_writes.get(cid, []):
+            for type_tag, value_blob, task_id, _idx 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

@@ -1,37 +0,0 @@
-"""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

@@ -30,11 +30,6 @@ 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)
@@ -336,7 +331,6 @@ 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,
@@ -347,16 +341,6 @@ 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:
@@ -592,9 +576,9 @@ 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, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, 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, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
         )
         await self.setup()
         async with self.lock, self.conn.cursor() as cur:
@@ -606,7 +590,6 @@ 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),
@@ -698,7 +681,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                     )
                 await cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes, str]]",
+                    "list[tuple[str, str, str, int, str, bytes]]",
                     await cur.fetchall(),
                 )
             else:

libs/checkpoint-sqlite/tests/test_writes_task_path_migration.py

@@ -1,214 +0,0 @@
-"""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 = "4.1.1"
+version = "4.2.0"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },

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

@@ -161,23 +161,6 @@ 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
@@ -627,14 +610,6 @@ 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

@@ -30,23 +30,6 @@ 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
 ):
@@ -88,7 +71,10 @@ 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[_WriteKey, _WriteValue]]
+    writes: defaultdict[
+        tuple[str, str, str],
+        dict[tuple[str, int], tuple[str, str, tuple[str, bytes], str]],
+    ]
     blobs: dict[
         tuple[
             str, str, str, str | int | float
@@ -162,17 +148,16 @@ class InMemorySaver(
         whose stored blob is non-empty. Other channels keep walking until
         they find their own terminator or hit the root.
 
-        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).
+        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.
         """
         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", "")
@@ -214,20 +199,13 @@ class InMemorySaver(
                     terminated_here.add(ch)
 
             step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            # 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
+            for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
+                step_writes.items(), 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(
-                    (task_id, ch, self.serde.loads_typed(serialized))
+                    (tid, 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 = "4.1.1"
+version = "4.2.0"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint/tests/test_memory.py

@@ -577,9 +577,19 @@ class TestPreDeltaBlobTerminator:
     """
 
     def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
-        """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].
+        """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"]`.
 
         Returns `(saver, thread_id, ns, channel, cp3_id)`.
         """
@@ -587,16 +597,21 @@ class TestPreDeltaBlobTerminator:
         serde = JsonPlusSerializer()
         thread_id, ns, channel = "t1", "", "messages"
 
+        v0 = "00000000000000000000000000000000.0"
         v1 = "00000000000000000000000000000001.0"
         v2 = "00000000000000000000000000000002.0"
         v3 = "00000000000000000000000000000003.0"
 
-        # Pre-delta: cp1 stored a real blob for the channel.
+        # Pre-delta: cp0 and cp1 stored real blobs for the channel.
+        saver.blobs[(thread_id, ns, channel, v0)] = serde.dumps_typed([])
         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
@@ -608,16 +623,24 @@ class TestPreDeltaBlobTerminator:
         cp3["channel_versions"][channel] = v3
 
         saver.storage[thread_id][ns] = {
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
+            "cp0": (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
+            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), "cp0"),
             "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
             "cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
         }
-        # 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)] = (
+        # 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)] = (
             "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"),
             "",
         )
@@ -651,15 +674,19 @@ class TestPreDeltaBlobTerminator:
 
         # Seed came from the pre-delta blob at cp1.
         assert result["seed"] == ["A"]
-        # 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.
+        # 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.
         values = [v for _, _, v in result["writes"]]
-        assert values == ["B"]
+        assert values == ["PRE-DELTA-WRITE", "B"]
 
-    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)."""
+    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.
+        """
         saver, thread_id, ns, channel, target = self._build_mixed_thread()
         config: RunnableConfig = {
             "configurable": {
@@ -674,7 +701,9 @@ class TestPreDeltaBlobTerminator:
         ]
 
         values = [v for _, _, v in result["writes"]]
-        # The pre-delta write under cp1 must not appear (the blob subsumes it).
-        assert "PRE-DELTA-WRITE" not in values
+        # 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
         # 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 = "4.1.1"
+version = "4.2.0"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },

libs/langgraph/langgraph/_internal/_runnable.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import asyncio
 import enum
 import inspect
+import logging
 import sys
 import warnings
 from collections.abc import (
@@ -63,6 +64,26 @@ 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
@@ -572,6 +593,7 @@ 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.
 
@@ -597,6 +619,7 @@ class RunnableSeq(Runnable):
         self.steps = steps_flat
         self.name = name
         self.trace_inputs = trace_inputs
+        self.trace_outputs = trace_outputs
 
     def __or__(
         self,
@@ -658,7 +681,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = callback_manager.on_chain_start(
             None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
+            _trace_payload(input, self.trace_inputs),
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -689,7 +712,7 @@ class RunnableSeq(Runnable):
             run_manager.on_chain_error(e)
             raise
         else:
-            run_manager.on_chain_end(input)
+            run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
             return input
 
     async def ainvoke(
@@ -705,7 +728,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = await callback_manager.on_chain_start(
             None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
+            _trace_payload(input, self.trace_inputs),
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -742,7 +765,7 @@ class RunnableSeq(Runnable):
             await run_manager.on_chain_error(e)
             raise
         else:
-            await run_manager.on_chain_end(input)
+            await run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
             return input
 
     def stream(
@@ -758,7 +781,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = callback_manager.on_chain_start(
             None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
+            _trace_payload(input, self.trace_inputs),
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -803,7 +826,7 @@ class RunnableSeq(Runnable):
                 run_manager.on_chain_error(e)
                 raise
             else:
-                run_manager.on_chain_end(output)
+                run_manager.on_chain_end(_trace_payload(output, self.trace_outputs))
 
     async def astream(
         self,
@@ -818,7 +841,7 @@ class RunnableSeq(Runnable):
         # start the root run
         run_manager = await callback_manager.on_chain_start(
             None,
-            self.trace_inputs(input) if self.trace_inputs is not None else input,
+            _trace_payload(input, self.trace_inputs),
             name=config.get("run_name") or self.get_name(),
             run_id=config.pop("run_id", None),
         )
@@ -873,7 +896,9 @@ class RunnableSeq(Runnable):
                     await run_manager.on_chain_error(e)
                     raise
                 else:
-                    await run_manager.on_chain_end(output)
+                    await run_manager.on_chain_end(
+                        _trace_payload(output, self.trace_outputs)
+                    )
         else:
             try:
                 async with AsyncExitStack() as stack:
@@ -903,7 +928,9 @@ class RunnableSeq(Runnable):
                 await run_manager.on_chain_error(e)
                 raise
             else:
-                await run_manager.on_chain_end(output)
+                await run_manager.on_chain_end(
+                    _trace_payload(output, self.trace_outputs)
+                )
 
 
 def _consume_iter(it: Iterator[Any]) -> Any:

libs/langgraph/langgraph/graph/_node.py

@@ -9,7 +9,13 @@ 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
+from langgraph.types import (
+    CachePolicy,
+    RetryPolicy,
+    StreamWriter,
+    TimeoutPolicy,
+    TracePolicy,
+)
 from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
 
 
@@ -93,3 +99,5 @@ 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

@@ -85,6 +85,7 @@ from langgraph.types import (
     RetryPolicy,
     Send,
     TimeoutPolicy,
+    TracePolicy,
     ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
@@ -384,6 +385,7 @@ 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.
@@ -453,6 +455,7 @@ 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.
@@ -527,6 +530,7 @@ 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.
@@ -596,6 +600,7 @@ 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.
@@ -672,6 +677,7 @@ 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`.
@@ -691,6 +697,10 @@ 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.
@@ -880,6 +890,7 @@ 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(
@@ -892,6 +903,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
+                trace_policy=trace_policy,
             )
         else:
             self.nodes[node] = StateNodeSpec[StateT, ContextT](
@@ -904,6 +916,7 @@ 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
@@ -1530,6 +1543,7 @@ 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
+from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy, TracePolicy
 
 READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
@@ -138,6 +138,9 @@ 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."""
 
@@ -156,6 +159,7 @@ 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,
@@ -177,6 +181,7 @@ 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:
@@ -222,14 +227,23 @@ 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)
+            return RunnableSeq(
+                *writers, trace_inputs=trace_inputs, trace_outputs=trace_outputs
+            )
         elif writers:
-            return RunnableSeq(self.bound, *writers)
+            return RunnableSeq(
+                self.bound,
+                *writers,
+                trace_inputs=trace_inputs,
+                trace_outputs=trace_outputs,
+            )
         else:
             return self.bound
 

libs/langgraph/langgraph/pregel/_utils.py

@@ -1,11 +1,10 @@
 from __future__ import annotations
 
-import ast
-import inspect
+import dis
 import re
-import textwrap
 from collections.abc import Callable, Sequence
 from functools import partial
+from types import CodeType, FunctionType
 from typing import Any
 
 from langchain_core.runnables import (
@@ -17,7 +16,6 @@ from langchain_core.runnables import (
 from langchain_core.runnables.base import RunnableBindingBase
 from langchain_core.runnables.config import run_in_executor
 from langgraph.checkpoint.base import ChannelVersions
-from typing_extensions import override
 
 from langgraph._internal._runnable import RunnableCallable, RunnableSeq
 from langgraph._internal._timeout import sync_timeout_unsupported
@@ -137,155 +135,87 @@ def validate_timeout_supported(runnable: Runnable, *, name: str) -> None:
         raise sync_timeout_unsupported(name)
 
 
+# Values treated as dead ends when deciding whether to walk a function's
+# bytecode. A container can hold a graph, but `find_subgraph_pregel` does not
+# look inside one, so skipping it costs nothing while that holds. Matched by
+# exact type, since a subclass of a builtin can carry attributes.
+_LEAF_TYPES = frozenset(
+    {
+        int,
+        float,
+        complex,
+        bool,
+        str,
+        bytes,
+        bytearray,
+        list,
+        tuple,
+        dict,
+        set,
+        frozenset,
+        type(None),
+    }
+)
+
+
 def get_function_nonlocals(func: Callable) -> list[Any]:
-    """Get the nonlocal variables accessed by a function.
+    """Get the values a function reaches from outside its own scope.
 
     Args:
         func: The function to check.
 
     Returns:
-        List[Any]: The nonlocal variables accessed by the function.
+        Every captured cell value, the globals the function names, and each
+        value along an attribute path it loads. Over-approximates: a value can
+        come back without the function reaching it at runtime.
     """
-    try:
-        code = inspect.getsource(func)
-        tree = ast.parse(textwrap.dedent(code))
-        visitor = FunctionNonLocals()
-        visitor.visit(tree)
-        values: list[Any] = []
-        closure = (
-            inspect.getclosurevars(func.__wrapped__)
-            if hasattr(func, "__wrapped__") and callable(func.__wrapped__)
-            else inspect.getclosurevars(func)
-        )
-        candidates = {**closure.globals, **closure.nonlocals}
-        for k, v in candidates.items():
-            if k in visitor.nonlocals:
-                values.append(v)
-            for kk in visitor.nonlocals:
-                if "." in kk and kk.startswith(k):
-                    vv = v
-                    for part in kk.split(".")[1:]:
-                        if vv is None:
-                            break
-                        else:
-                            try:
-                                vv = getattr(vv, part)
-                            except AttributeError:
-                                break
-                    else:
-                        values.append(vv)
-    except (SyntaxError, TypeError, OSError, SystemError):
+    func = getattr(func, "__func__", func)  # bound method -> function
+    wrapped = getattr(func, "__wrapped__", None)
+    if callable(wrapped):
+        func = getattr(wrapped, "__func__", wrapped)
+    if not isinstance(func, FunctionType):
         return []
+    code = func.__code__
 
+    cells: dict[str, Any] = {}
+    for name, cell in zip(code.co_freevars, func.__closure__ or ()):
+        try:
+            cells[name] = cell.cell_contents
+        except ValueError:
+            continue  # empty cell: a recursive def not yet bound
+
+    # Every captured value counts, referenced or not: over-declaring costs an
+    # introspection entry, under-declaring drops the subgraph's checkpoints and
+    # stream events. Checking each cell against the bytecode would cost more and
+    # only trade the cheap error for the expensive one.
+    values: list[Any] = list(cells.values())
+    global_ns = func.__globals__
+    globals_ = {name: global_ns[name] for name in code.co_names if name in global_ns}
+    if all(type(v) in _LEAF_TYPES for v in (*cells.values(), *globals_.values())):
+        return values
+
+    # Nested code objects hold the references made by inner defs, lambdas and
+    # comprehensions, which resolve against the namespaces gathered above.
+    codes = [code]
+    for c in codes:
+        codes.extend(k for k in c.co_consts if isinstance(k, CodeType))
+        value: Any = None
+        for instruction in dis.get_instructions(c):
+            opname = instruction.opname
+            if opname == "LOAD_GLOBAL":
+                value = globals_.get(instruction.argval)
+            elif opname == "LOAD_DEREF":
+                value = cells.get(instruction.argval)
+            elif opname in ("LOAD_ATTR", "LOAD_METHOD"):
+                value = getattr(value, instruction.argval, None)
+            else:
+                value = None  # anything else ends the chain: `a, b.c` is not `a.c`
+                continue
+            if value is not None:
+                values.append(value)
     return values
 
 
-class FunctionNonLocals(ast.NodeVisitor):
-    """Get the nonlocal variables accessed of a function."""
-
-    def __init__(self) -> None:
-        self.nonlocals: set[str] = set()
-
-    @override
-    def visit_FunctionDef(self, node: ast.FunctionDef) -> Any:
-        """Visit a function definition.
-
-        Args:
-            node: The node to visit.
-
-        Returns:
-            Any: The result of the visit.
-        """
-        visitor = NonLocals()
-        visitor.visit(node)
-        self.nonlocals.update(visitor.loads - visitor.stores)
-
-    @override
-    def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef) -> Any:
-        """Visit an async function definition.
-
-        Args:
-            node: The node to visit.
-
-        Returns:
-            Any: The result of the visit.
-        """
-        visitor = NonLocals()
-        visitor.visit(node)
-        self.nonlocals.update(visitor.loads - visitor.stores)
-
-    @override
-    def visit_Lambda(self, node: ast.Lambda) -> Any:
-        """Visit a lambda function.
-
-        Args:
-            node: The node to visit.
-
-        Returns:
-            Any: The result of the visit.
-        """
-        visitor = NonLocals()
-        visitor.visit(node)
-        self.nonlocals.update(visitor.loads - visitor.stores)
-
-
-class NonLocals(ast.NodeVisitor):
-    """Get nonlocal variables accessed."""
-
-    def __init__(self) -> None:
-        self.loads: set[str] = set()
-        self.stores: set[str] = set()
-
-    @override
-    def visit_Name(self, node: ast.Name) -> Any:
-        """Visit a name node.
-
-        Args:
-            node: The node to visit.
-
-        Returns:
-            Any: The result of the visit.
-        """
-        if isinstance(node.ctx, ast.Load):
-            self.loads.add(node.id)
-        elif isinstance(node.ctx, ast.Store):
-            self.stores.add(node.id)
-
-    @override
-    def visit_Attribute(self, node: ast.Attribute) -> Any:
-        """Visit an attribute node.
-
-        Args:
-            node: The node to visit.
-
-        Returns:
-            Any: The result of the visit.
-        """
-        if isinstance(node.ctx, ast.Load):
-            parent = node.value
-            attr_expr = node.attr
-            while isinstance(parent, ast.Attribute):
-                attr_expr = parent.attr + "." + attr_expr
-                parent = parent.value
-            if isinstance(parent, ast.Name):
-                self.loads.add(parent.id + "." + attr_expr)
-                self.loads.discard(parent.id)
-            elif isinstance(parent, ast.Call):
-                if isinstance(parent.func, ast.Name):
-                    self.loads.add(parent.func.id)
-                else:
-                    parent = parent.func
-                    attr_expr = ""
-                    while isinstance(parent, ast.Attribute):
-                        if attr_expr:
-                            attr_expr = parent.attr + "." + attr_expr
-                        else:
-                            attr_expr = parent.attr
-                        parent = parent.value
-                    if isinstance(parent, ast.Name):
-                        self.loads.add(parent.id + "." + attr_expr)
-
-
 def is_xxh3_128_hexdigest(value: str) -> bool:
     """Check if the given string matches the format of xxh3_128_hexdigest."""
     return bool(re.fullmatch(r"[0-9a-f]{32}", value))

libs/langgraph/langgraph/types.py

@@ -70,6 +70,8 @@ __all__ = (
     "RetryPolicy",
     "TimeoutPolicy",
     "CachePolicy",
+    "TracePolicy",
+    "omit_payload",
     "Interrupt",
     "StateUpdate",
     "PregelTask",
@@ -527,6 +529,44 @@ 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 = "1.2.10"
+version = "1.2.11"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_delta_channel_migration.py

@@ -616,3 +616,117 @@ 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

@@ -1,184 +0,0 @@
-"""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_subgraph_detection.py

@@ -0,0 +1,286 @@
+"""Tests for subgraph auto-detection (`pregel/_utils.py`).
+
+Detection failing is silent — the graph still runs, only introspection goes
+quiet — so every shape a node can hold a graph in is pinned here. The expected
+values are what the source-parsing implementation this replaced produced for
+the same shapes, except for `sourceless`, whose source it could not read,
+`empty_closure_cell`, on which it raised, and `unreachable_attribute_chain`,
+where it reported a graph that dropped code could never invoke.
+"""
+
+import functools
+import operator
+from typing import Annotated, Any
+
+import pytest
+from typing_extensions import TypedDict
+
+from langgraph.graph import END, START, StateGraph
+from langgraph.pregel._utils import get_function_nonlocals
+
+
+class State(TypedDict):
+    log: Annotated[list, operator.add]
+
+
+def _leaf(tag: str) -> Any:
+    """Return a compiled graph that reports itself as `tag`."""
+    builder = StateGraph(State)
+    builder.add_node(tag, lambda s: {"log": [tag]})
+    builder.add_edge(START, tag)
+    builder.add_edge(tag, END)
+    compiled = builder.compile()
+    compiled.name = tag
+    return compiled
+
+
+def _detect(node: Any) -> str | None:
+    """Return the name of the subgraph detected for `node`, or None."""
+    builder = StateGraph(State)
+    builder.add_node("n", node)
+    builder.add_edge(START, "n")
+    builder.add_edge("n", END)
+    subgraphs = builder.compile().nodes["n"].subgraphs
+    return getattr(subgraphs[0], "name", "?") if subgraphs else None
+
+
+class _Box:
+    def __init__(self, payload: Any) -> None:
+        self.payload = payload
+
+
+class _ListSubclass(list):
+    pass
+
+
+class _MethodHolder:
+    def __init__(self) -> None:
+        self.graph = _leaf("via_self")
+
+    def as_node(self, state: State) -> Any:
+        return self.graph.invoke(state)
+
+
+MODULE_GRAPH = _leaf("module_global")
+CHAIN = _Box(_Box(_leaf("attr_chain")))
+GRAPH_IN_PLAIN_LIST = [_leaf("in_list")]
+METHOD_HOLDER = _MethodHolder()
+
+
+def closure_capture() -> Any:
+    sub = _leaf("closure")
+
+    def node(state: State) -> Any:
+        return sub.invoke(state)
+
+    return node
+
+
+def module_global() -> Any:
+    def node(state: State) -> Any:
+        return MODULE_GRAPH.invoke(state)
+
+    return node
+
+
+def attribute_chain() -> Any:
+    def node(state: State) -> Any:
+        return CHAIN.payload.payload.invoke(state)
+
+    return node
+
+
+def nested_def_captured_attribute() -> Any:
+    """A chain on a captured holder, named only inside a nested code object.
+
+    The captured value is the holder, not the graph, so the chain itself has to
+    be recovered from the nested scope.
+    """
+    holder = _Box(_leaf("nested_captured"))
+
+    def node(state: State) -> Any:
+        def inner() -> Any:
+            return holder.payload.invoke(state)
+
+        return inner()
+
+    return node
+
+
+def unreachable_branch() -> Any:
+    """A captured graph referenced only from code the compiler removes."""
+    sub = _leaf("unreachable")
+
+    def node(state: State) -> Any:
+        if False:
+            sub.invoke(state)
+        return {"log": []}
+
+    return node
+
+
+def unreachable_attribute_chain() -> Any:
+    """A graph named only along an attribute path the compiler dropped.
+
+    The closure keeps `holder`, but the `.payload` load is gone. The source
+    parser reported this one; dropped code cannot invoke anything, so that was
+    a phantom rather than a detection.
+    """
+    holder = _Box(_leaf("unreachable_attr"))
+
+    def node(state: State) -> Any:
+        if False:
+            holder.payload.invoke(state)
+        return {"log": []}
+
+    return node
+
+
+def wrapper_referencing_nothing() -> Any:
+    """A wrapper whose own scope holds nothing, so only `__wrapped__` leads on.
+
+    `functools.wraps` would leave the wrapper closing over the inner function;
+    setting the attribute by hand does not.
+    """
+    sub = _leaf("via_wrapped")
+
+    def inner(state: State) -> Any:
+        return sub.invoke(state)
+
+    def wrapper(state: State) -> Any:
+        return {"log": []}
+
+    wrapper.__wrapped__ = inner
+    return wrapper
+
+
+def captured_list_subclass() -> Any:
+    """A `list` subclass is not a leaf: it can carry a graph as an attribute."""
+    holder = _ListSubclass()
+    holder.payload = _leaf("list_subclass")
+
+    def node(state: State) -> Any:
+        return holder.payload.invoke(state)
+
+    return node
+
+
+def empty_closure_cell() -> Any:
+    """An unassigned closure variable leaves a cell that cannot be read."""
+    sub = _leaf("beside_empty_cell")
+
+    def node(state: State) -> Any:
+        return unassigned, sub.invoke(state)
+
+    return node
+    unassigned = 1  # never runs, so the cell it creates is never filled
+
+
+def sourceless() -> Any:
+    """A node compiled without a source file, which `getsource` could not read."""
+    namespace: dict[str, Any] = {"SOURCELESS": _leaf("sourceless")}
+    exec(
+        compile(
+            "def node(state):\n    return SOURCELESS.invoke(state)", "<test>", "exec"
+        ),
+        namespace,
+    )
+    return namespace["node"]
+
+
+async def _async_node(state: State) -> Any:
+    return await MODULE_GRAPH.ainvoke(state)
+
+
+def async_node() -> Any:
+    return _async_node
+
+
+def no_subgraph() -> Any:
+    """Nothing but leaf values in reach, so the bytecode walk is skipped."""
+
+    def node(state: State) -> Any:
+        return {"log": [len("abc") + 1]}
+
+    return node
+
+
+def recombined_names() -> Any:
+    """Loads `CHAIN.payload` and `local.payload`, never `CHAIN.payload.payload`."""
+
+    def node(state: State) -> Any:
+        local = _Box("not a graph")
+        return {"log": [CHAIN.payload, local.payload]}
+
+    return node
+
+
+def broken_attribute_chain() -> Any:
+    holder = _Box("a string, so `.payload.missing` cannot resolve")
+
+    def node(state: State) -> Any:
+        return holder.payload.missing.invoke(state)
+
+    return node
+
+
+def nested_def_global() -> Any:
+    """A global named only in a nested code object: out of reach, as before."""
+
+    def node(state: State) -> Any:
+        def inner() -> Any:
+            return MODULE_GRAPH.invoke(state)
+
+        return inner()
+
+    return node
+
+
+def graph_in_plain_list() -> Any:
+    def node(state: State) -> Any:
+        return GRAPH_IN_PLAIN_LIST[0].invoke(state)
+
+    return node
+
+
+def bound_method_self() -> Any:
+    return METHOD_HOLDER.as_node
+
+
+@pytest.mark.parametrize(
+    ("factory", "expected"),
+    [
+        (closure_capture, "closure"),
+        (module_global, "module_global"),
+        (attribute_chain, "attr_chain"),
+        (nested_def_captured_attribute, "nested_captured"),
+        (unreachable_branch, "unreachable"),
+        (wrapper_referencing_nothing, "via_wrapped"),
+        (captured_list_subclass, "list_subclass"),
+        (empty_closure_cell, "beside_empty_cell"),
+        (sourceless, "sourceless"),
+        (async_node, "module_global"),
+        # Shapes no reference chain reaches: a subscript, an instance attribute
+        # of `self`, a global named only in a nested scope, and an attribute
+        # path the compiler dropped.
+        (no_subgraph, None),
+        (recombined_names, None),
+        (broken_attribute_chain, None),
+        (nested_def_global, None),
+        (graph_in_plain_list, None),
+        (bound_method_self, None),
+        (unreachable_attribute_chain, None),
+    ],
+    ids=lambda value: value.__name__ if callable(value) else str(value),
+)
+def test_subgraph_detection(factory: Any, expected: str | None) -> None:
+    assert _detect(factory()) == expected
+
+
+@pytest.mark.parametrize(
+    "candidate",
+    [functools.partial(lambda state, extra: {"log": [extra]}, extra="x"), len],
+    ids=["partial", "builtin"],
+)
+def test_callables_without_a_code_object_are_handled(candidate: Any) -> None:
+    assert get_function_nonlocals(candidate) == []

libs/langgraph/tests/test_trace_policy.py

@@ -0,0 +1,149 @@
+"""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 = "4.14.1"
+version = "4.14.2"
 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'" },
 ]
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 ]
 
 [[package]]

libs/prebuilt/README.md

@@ -37,6 +37,7 @@ 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."""
@@ -45,6 +46,7 @@ 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")
 
@@ -65,6 +67,7 @@ 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...
@@ -72,8 +75,11 @@ 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]})
@@ -98,10 +104,17 @@ 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" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 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 = "1.2.10"
+version = "1.2.11"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.2.0"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.1"
+version = "3.1.2"
 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 = "==0.15.20" },
+    { name = "ruff", specifier = "==0.16.1" },
     { name = "starlette" },
     { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "ruff", specifier = "==0.15.20" },
+    { name = "ruff", specifier = "==0.16.1" },
     { name = "starlette" },
     { name = "ty" },
 ]

libs/sdk-py/MIGRATION.md

@@ -87,7 +87,9 @@ 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

@@ -43,7 +43,9 @@ 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)
 ```
 
@@ -80,9 +82,9 @@ 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/__init__.py

@@ -1,8 +1,15 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
-from langgraph_sdk.encryption.types import EncryptionContext
+from langgraph_sdk.encryption.types import DecryptResult, EncryptionContext
 
-__version__ = "0.4.2"
+__version__ = "0.4.3"
 
-__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+__all__ = [
+    "Auth",
+    "DecryptResult",
+    "Encryption",
+    "EncryptionContext",
+    "get_client",
+    "get_sync_client",
+]

libs/sdk-py/langgraph_sdk/encryption/__init__.py

@@ -18,6 +18,9 @@ import warnings
 
 from langgraph_sdk.encryption import types
 
+_BlobDecryptorT = typing.TypeVar("_BlobDecryptorT", bound=types.BlobDecryptor)
+_JsonDecryptorT = typing.TypeVar("_JsonDecryptorT", bound=types.JsonDecryptor)
+
 
 class LangGraphBetaWarning(UserWarning):
     """Warning for beta features in LangGraph SDK."""
@@ -141,7 +144,7 @@ class _DecryptDecorators:
     def __init__(self, parent: Encryption):
         self._parent = parent
 
-    def blob(self, fn: types.BlobDecryptor) -> types.BlobDecryptor:
+    def blob(self, fn: _BlobDecryptorT) -> _BlobDecryptorT:
         """Register a blob decryption handler.
 
         The handler will be called to decrypt opaque data like checkpoint blobs.
@@ -149,7 +152,9 @@ class _DecryptDecorators:
         Example:
             ```python
             @encryption.decrypt.blob
-            async def decrypt_blob(ctx: EncryptionContext, blob: bytes) -> bytes:
+            async def decrypt_blob(
+                ctx: EncryptionContext, blob: bytes
+            ) -> bytes | DecryptResult[bytes]:
                 # Decrypt the blob using your encryption service
                 return decrypted_blob
             ```
@@ -170,13 +175,15 @@ class _DecryptDecorators:
         self._parent._blob_decryptor = fn
         return fn
 
-    def json(self, fn: types.JsonDecryptor) -> types.JsonDecryptor:
+    def json(self, fn: _JsonDecryptorT) -> _JsonDecryptorT:
         """Register the JSON decryption handler.
 
         Example:
             ```python
             @encryption.decrypt.json
-            async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
+            async def decrypt_json(
+                ctx: EncryptionContext, data: dict
+            ) -> dict | DecryptResult[dict]:
                 # Decrypt the data
                 return decrypt_data(data)
             ```
@@ -369,7 +376,7 @@ class Encryption:
     """Reference to encryption type definitions.
 
     Provides access to all type definitions used in the encryption system,
-    including EncryptionContext, BlobEncryptor, BlobDecryptor,
+    including EncryptionContext, DecryptResult, BlobEncryptor, BlobDecryptor,
     JsonEncryptor, and JsonDecryptor.
     """
 

libs/sdk-py/langgraph_sdk/encryption/types.py

@@ -9,10 +9,30 @@ from __future__ import annotations
 
 import typing
 from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
 
 Json = dict[str, typing.Any]
 """JSON-serializable dictionary type for structured data encryption."""
 
+T = typing.TypeVar("T")
+
+
+@dataclass(frozen=True, slots=True)
+class DecryptResult(typing.Generic[T]):
+    """Decrypted data and optional replacement ciphertext.
+
+    Return this from a decrypt handler when encrypted data should be replaced,
+    such as after rotating its encryption key. Returning plaintext directly
+    remains supported when no replacement is needed.
+
+    Attributes:
+        plaintext: Decrypted data returned to the caller
+        replacement: New encrypted data to persist in place of the input
+    """
+
+    plaintext: T
+    replacement: T | None = None
+
 
 class EncryptionContext:
     """Context passed to encryption/decryption handlers.
@@ -57,7 +77,9 @@ Returns:
     Awaitable that resolves to encrypted bytes
 """
 
-BlobDecryptor = Callable[[EncryptionContext, bytes], Awaitable[bytes]]
+BlobDecryptor = Callable[
+    [EncryptionContext, bytes], Awaitable[bytes | DecryptResult[bytes]]
+]
 """Handler for decrypting opaque blob data like checkpoints.
 
 Note: Must be an async function. Decryption typically involves I/O operations
@@ -68,7 +90,8 @@ Args:
     blob: The encrypted bytes to decrypt
 
 Returns:
-    Awaitable that resolves to decrypted bytes
+    Awaitable that resolves to decrypted bytes, or a DecryptResult containing
+    decrypted bytes and replacement ciphertext
 """
 
 JsonEncryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
@@ -101,7 +124,9 @@ Returns:
     Awaitable that resolves to encrypted JSON dictionary
 """
 
-JsonDecryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
+JsonDecryptor = Callable[
+    [EncryptionContext, Json], Awaitable[Json | DecryptResult[Json]]
+]
 """Handler for decrypting structured JSON data.
 
 Note: Must be an async function. Decryption typically involves I/O operations
@@ -115,7 +140,8 @@ Args:
     data: The encrypted JSON dictionary
 
 Returns:
-    Awaitable that resolves to decrypted JSON dictionary
+    Awaitable that resolves to a decrypted JSON dictionary, or a DecryptResult
+    containing decrypted JSON and replacement ciphertext
 """
 
 if typing.TYPE_CHECKING:

libs/sdk-py/langgraph_sdk/schema.py

@@ -963,7 +963,7 @@ class _BaseModelLike(Protocol):
     ) -> dict[str, Any]: ...
 
 
-_JSONLike: TypeAlias = None | str | int | float | bool
+_JSONLike: TypeAlias = str | int | float | bool | None
 _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==0.15.20",
+    "ruff==0.16.1",
     "codespell",
     "ty",
     "starlette",

libs/sdk-py/tests/test_encryption.py

@@ -1,8 +1,40 @@
+from collections.abc import Awaitable, Callable
+
 import pytest
 
+from langgraph_sdk import DecryptResult, EncryptionContext
 from langgraph_sdk.encryption import DuplicateHandlerError, Encryption
 
 
+def test_decrypt_result():
+    result = DecryptResult(plaintext=b"plain", replacement=b"rotated")
+
+    assert result.plaintext == b"plain"
+    assert result.replacement == b"rotated"
+    assert DecryptResult(plaintext={"plain": True}).replacement is None
+
+
+def test_decrypt_decorators_preserve_return_types():
+    encryption = Encryption()
+
+    @encryption.decrypt.blob
+    async def blob_dec(_ctx: EncryptionContext, data: bytes) -> bytes:
+        return data
+
+    @encryption.decrypt.json
+    async def json_dec(
+        _ctx: EncryptionContext, data: dict[str, object]
+    ) -> dict[str, object]:
+        return data
+
+    blob_handler: Callable[[EncryptionContext, bytes], Awaitable[bytes]] = blob_dec
+    json_handler: Callable[
+        [EncryptionContext, dict[str, object]], Awaitable[dict[str, object]]
+    ] = json_dec
+    assert blob_handler is blob_dec
+    assert json_handler is json_dec
+
+
 class TestHandlerValidation:
     """Test duplicate handler and signature validation."""
 

libs/sdk-py/uv.lock

@@ -154,11 +154,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.2"
+version = "2.4.3"
 source = { registry = "https://pypi.org/simple" }
-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" }
+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" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/8b/bf/bdb951d34eb169140b546f44be9ec4525d1acefb9eb5572071f5492b19fc/codespell-2.4.3-py3-none-any.whl", hash = "sha256:af2505b335e8573dbd2d384d1c4ef498f4006f4ba2d6fceca01e55b91f52628a", size = 340736, upload-time = "2026-07-15T11:51:52.925Z" },
 ]
 
 [[package]]
@@ -266,7 +266,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.4.8"
+version = "1.5.3"
 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/12/e3/bea6d0080acf183332f24dcd74c208aee5857cf8f783c3fb0bd86027d8fb/langchain_core-1.4.8.tar.gz", hash = "sha256:5bf1f8411077c904182ad8f975943d36adcbf579c4e017b3a118b719229ebf9a", size = 957974, upload-time = "2026-06-18T19:39:23.636Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/13/d6/bdf6f0481cc57ef300d6b1eb48cf1400c0409be715d6eb3cabadd1142a09/langchain_core-1.4.8-py3-none-any.whl", hash = "sha256:d84c28b05e3ba8d4271d0827aad5b592ccdaaf986e76768c23503f0a2045e8aa", size = 557416, upload-time = "2026-06-18T19:39:21.902Z" },
+    { url = "https://files.pythonhosted.org/packages/36/e6/c7c39efe0bc7e1b7c3d8f54f85846e04c901913c3d3e99068b218558c6f1/langchain_core-1.5.3-py3-none-any.whl", hash = "sha256:48b56fa580277209594dd7baf837f5b9a2a3651613f34ff9fb1728b429df015f", size = 561687, upload-time = "2026-07-30T14:55:54.419Z" },
 ]
 
 [[package]]
@@ -298,7 +298,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.2.10"
+version = "1.2.11"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -382,7 +382,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.2.0"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -534,13 +534,13 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.20" },
+    { name = "ruff", specifier = "==0.16.1" },
     { name = "starlette" },
     { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "ruff", specifier = "==0.15.20" },
+    { name = "ruff", specifier = "==0.16.1" },
     { name = "starlette" },
     { name = "ty" },
 ]
@@ -1016,27 +1016,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.15.20"
+version = "0.16.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/43/dc/35b341fc554ba02f217fc10da57d1a75168cfbcf75b0ef2202176d4c4f2d/ruff-0.15.20.tar.gz", hash = "sha256:1416eb04349192646b54de98f146c4f59afe37d0decfc02c3cbbf396f3a28566", size = 4755489, upload-time = "2026-06-25T17:20:37.578Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/70/25/7113f6d5498888c5fb7db34081cba7d5971c4cb1bfb26819966eee68f003/ruff-0.16.1.tar.gz", hash = "sha256:fedad7c801dabd3fb9741d76aca39246e6ddd9ca446a015875207bf19f1e6bc7", size = 4877500, upload-time = "2026-07-30T19:37:01.379Z" }
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