fix: order delta channel replay by task path

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

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

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

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

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

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

@@ -267,6 +267,61 @@ async def test_history_seed_ancestor_own_writes_are_replayed(
     )
 
 
+# Every uuid4 `build_delta_chain` tags its own writes with sorts between these
+# two, so task_id order is fixed and always disagrees with task_path order.
+TASK_ID_SORTS_FIRST = "00000000-0000-0000-0000-000000000000"
+TASK_ID_SORTS_LAST = "zzzzzzzz-0000-0000-0000-000000000000"
+
+
+async def test_history_orders_parallel_writes_by_task_path(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Writes from parallel tasks replay in task_path order, not task_id order."""
+    configs = await build_delta_chain(
+        saver,
+        thread_id=str(uuid4()),
+        channel="ch",
+        snapshots_at_steps=[0],
+        total_steps=3,
+    )
+    step_1, head = configs[1], configs[2]
+    await saver.aput_writes(
+        step_1, [("ch", "second")], TASK_ID_SORTS_FIRST, "~pull, 02"
+    )
+    await saver.aput_writes(step_1, [("ch", "first")], TASK_ID_SORTS_LAST, "~pull, 01")
+
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    values = [w[2] for w in result["ch"]["writes"]]
+    assert values == [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 (graph input) replay before task writes."""
+    configs = await build_delta_chain(
+        saver,
+        thread_id=str(uuid4()),
+        channel="ch",
+        snapshots_at_steps=[0],
+        total_steps=3,
+    )
+    step_1, head = configs[1], configs[2]
+    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"]]
+    assert values == [1, "from_input", "from_node"], (
+        f"Expected pathless writes first, got {values}"
+    )
+
+
 ALL_DELTA_CHANNEL_HISTORY_TESTS = [
     test_history_returns_writes_oldest_first,
     test_history_seed_is_nearest_snapshot,
@@ -276,6 +331,8 @@ ALL_DELTA_CHANNEL_HISTORY_TESTS = [
     test_history_walk_to_root_no_seed,
     test_history_migration_plain_value_as_seed,
     test_history_seed_ancestor_own_writes_are_replayed,
+    test_history_orders_parallel_writes_by_task_path,
+    test_history_orders_pathless_writes_first,
 ]
 
 

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

@@ -168,6 +168,7 @@ class _DeltaStage2Row(TypedDict, total=False):
     type: str | None
     blob: bytes | None
     task_id: str | None  # "w" rows only
+    task_path: str | None  # "w" rows only
     idx: int | None  # "w" rows only
     version: str | None  # "b" rows only
 
@@ -319,7 +320,7 @@ def _build_delta_stage2_sql(
         branches.append(
             "SELECT 'w'::text AS _kind, "
             "checkpoint_id, channel, "
-            "type, blob, task_id, idx, NULL::text AS version "
+            "type, blob, task_id, task_path, idx, NULL::text AS version "
             "FROM checkpoint_writes "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND checkpoint_id = ANY(%s)"
@@ -327,7 +328,8 @@ def _build_delta_stage2_sql(
     for _ in channels_with_seed:
         branches.append(
             "SELECT 'b'::text AS _kind, NULL::text AS checkpoint_id, channel, "
-            "type, blob, NULL::text AS task_id, NULL::int AS idx, version "
+            "type, blob, NULL::text AS task_id, NULL::text AS task_path, "
+            "NULL::int AS idx, version "
             "FROM checkpoint_blobs "
             "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
             "AND version = %s"
@@ -492,10 +494,11 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
         stored value, or when the seed blob is sentinel "empty" — in both cases
         the consumer treats absence as "start empty".
         """
-        # writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
-        writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-            ch: {} for ch in channels
-        }
+        # writes_by_ch_by_cid[channel][cid] = list of
+        # (type, blob, task_id, idx, task_path)
+        writes_by_ch_by_cid: dict[
+            str, dict[str, list[tuple[str, bytes, str, int, str]]]
+        ] = {ch: {} for ch in channels}
         # seed_blob_by_ver[(channel, version)] = (type, blob)
         seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
 
@@ -506,8 +509,14 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                 cid = cast(str, r["checkpoint_id"])
                 writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
                     cast(
-                        "tuple[str, bytes, str, int]",
-                        (r["type"], r["blob"], r["task_id"], r["idx"]),
+                        "tuple[str, bytes, str, int, str]",
+                        (
+                            r["type"],
+                            r["blob"],
+                            r["task_id"],
+                            r["idx"],
+                            r["task_path"],
+                        ),
                     )
                 )
             else:  # kind == "b"
@@ -516,10 +525,10 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
                     "tuple[str, bytes]", (r["type"], r["blob"])
                 )
 
-        # Sort writes per (channel, cid) newest-first by (task_id, idx)
+        # Sort writes per (channel, cid) newest-first by (task_path, task_id, idx)
         for cid_map in writes_by_ch_by_cid.values():
             for ws in cid_map.values():
-                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
+                ws.sort(key=lambda w: (w[4], w[2], w[3]), reverse=True)
 
         result: dict[str, DeltaChannelHistory] = {}
         for ch in channels:
@@ -529,7 +538,9 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
             collected: list[PendingWrite] = []
             cid_writes = writes_by_ch_by_cid.get(ch, {})
             for cid in chain_cids:
-                for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
+                for type_tag, write_blob, task_id, _idx, _path in cid_writes.get(
+                    cid, []
+                ):
                     val = self.serde.loads_typed((type_tag, write_blob))
                     collected.append((task_id, ch, val))
             collected.reverse()

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

@@ -154,6 +154,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                 checkpoint_ns TEXT NOT NULL DEFAULT '',
                 checkpoint_id TEXT NOT NULL,
                 task_id TEXT NOT NULL,
+                task_path TEXT NOT NULL DEFAULT '',
                 idx INTEGER NOT NULL,
                 channel TEXT NOT NULL,
                 type TEXT,
@@ -162,6 +163,15 @@ class SqliteSaver(BaseCheckpointSaver[str]):
             );
             """
         )
+        # sqlite has no ADD COLUMN IF NOT EXISTS; this migrates databases
+        # created before `task_path` existed and is a no-op on the rest.
+        try:
+            self.conn.execute(
+                "ALTER TABLE writes ADD COLUMN task_path TEXT NOT NULL DEFAULT ''"
+            )
+        except sqlite3.OperationalError as e:
+            if "duplicate column name" not in str(e):
+                raise
 
         self.is_setup = True
 
@@ -460,9 +470,9 @@ class SqliteSaver(BaseCheckpointSaver[str]):
             task_path: Path of the task creating the writes.
         """
         query = (
-            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
             if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
         )
         with self.cursor() as cur:
             cur.executemany(
@@ -473,6 +483,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                         str(config["configurable"]["checkpoint_ns"]),
                         str(config["configurable"]["checkpoint_id"]),
                         task_id,
+                        task_path,
                         WRITES_IDX_MAP.get(channel, idx),
                         channel,
                         *self.serde.dumps_typed(value),
@@ -568,7 +579,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                     )
                 cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
+                    "list[tuple[str, str, str, int, str, bytes, str]]", cur.fetchall()
                 )
             else:
                 stage2_rows = []

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

@@ -57,7 +57,7 @@ def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
     for n in chain_lens:
         cid_placeholders = ",".join("?" * n)
         branches.append(
-            "SELECT checkpoint_id, channel, task_id, idx, type, value "
+            "SELECT checkpoint_id, channel, task_id, idx, type, value, task_path "
             "FROM writes "
             "WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
             f"AND checkpoint_id IN ({cid_placeholders})"
@@ -130,29 +130,31 @@ def build_delta_channels_writes_history(
     chain_by_ch: Mapping[str, list[str]],
     seed_val_by_ch: Mapping[str, Any],
     seeded: set[str],
-    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
+    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes, str]],
     serde: Any,
 ) -> dict[str, DeltaChannelHistory]:
     """Demux stage-2 rows per channel; produce per-channel histories.
 
-    Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
-    Final write order is oldest→newest globally and `(task_id, idx)` within
-    a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
+    Stage-2 rows are
+    `(checkpoint_id, channel, task_id, idx, type, value, task_path)`.
+    Final write order is oldest→newest globally and
+    `(task_path, task_id, idx)` within a checkpoint, matching the contract
+    on `DeltaChannelHistory.writes`.
 
     `seed` is omitted when the walk reached a true root with no snapshot
     found (channel never entered `seeded`); consumers treat absence as
     "start empty".
     """
-    writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-        ch: {} for ch in channels
-    }
-    for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
+    writes_by_ch_by_cid: dict[
+        str, dict[str, list[tuple[str, bytes, str, int, str]]]
+    ] = {ch: {} for ch in channels}
+    for cid, ch, task_id, idx, type_tag, value_blob, task_path in stage2_rows:
         writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
-            (type_tag, value_blob, task_id, idx)
+            (type_tag, value_blob, task_id, idx, task_path)
         )
     for cid_map in writes_by_ch_by_cid.values():
         for ws in cid_map.values():
-            ws.sort(key=lambda w: (w[2], w[3]))
+            ws.sort(key=lambda w: (w[4], w[2], w[3]))
 
     result: dict[str, DeltaChannelHistory] = {}
     for ch in channels:
@@ -161,7 +163,7 @@ def build_delta_channels_writes_history(
         collected: list[PendingWrite] = []
         # Chain is newest-first; iterate oldest-first for the public order.
         for cid in reversed(chain_cids):
-            for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
+            for type_tag, value_blob, task_id, _idx, _path in cid_writes.get(cid, []):
                 collected.append(
                     (task_id, ch, serde.loads_typed((type_tag, value_blob)))
                 )

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

@@ -331,6 +331,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                     checkpoint_ns TEXT NOT NULL DEFAULT '',
                     checkpoint_id TEXT NOT NULL,
                     task_id TEXT NOT NULL,
+                    task_path TEXT NOT NULL DEFAULT '',
                     idx INTEGER NOT NULL,
                     channel TEXT NOT NULL,
                     type TEXT,
@@ -341,6 +342,17 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             ):
                 await self.conn.commit()
 
+            # sqlite has no ADD COLUMN IF NOT EXISTS; this migrates databases
+            # created before `task_path` existed and is a no-op on the rest.
+            try:
+                await self.conn.execute(
+                    "ALTER TABLE writes ADD COLUMN task_path TEXT NOT NULL DEFAULT ''"
+                )
+                await self.conn.commit()
+            except aiosqlite.OperationalError as e:
+                if "duplicate column name" not in str(e):
+                    raise
+
             self.is_setup = True
 
     async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
@@ -576,9 +588,9 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             task_path: Path of the task creating the writes.
         """
         query = (
-            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            "INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
             if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
+            else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
         )
         await self.setup()
         async with self.lock, self.conn.cursor() as cur:
@@ -590,6 +602,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                         str(config["configurable"]["checkpoint_ns"]),
                         str(config["configurable"]["checkpoint_id"]),
                         task_id,
+                        task_path,
                         WRITES_IDX_MAP.get(channel, idx),
                         channel,
                         *self.serde.dumps_typed(value),
@@ -681,7 +694,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
                     )
                 await cur.execute(stage2_sql, stage2_params)
                 stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]",
+                    "list[tuple[str, str, str, int, str, bytes, str]]",
                     await cur.fetchall(),
                 )
             else:

libs/checkpoint-sqlite/tests/test_writes_task_path_migration.py

@@ -0,0 +1,87 @@
+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.aio import AsyncSqliteSaver
+
+WRITES_BEFORE_TASK_PATH = """
+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)
+);
+INSERT INTO writes VALUES ('t', '', 'c', 'old-task', 0, 'ch', 'null', X'');
+"""
+
+
+@pytest.fixture
+def legacy_db(tmp_path: Path) -> Path:
+    db = tmp_path / "legacy.sqlite"
+    with sqlite3.connect(db) as conn:
+        conn.executescript(WRITES_BEFORE_TASK_PATH)
+    return db
+
+
+def test_setup_migrates_legacy_writes_table_repeatably(legacy_db: Path) -> None:
+    for _ in range(2):
+        with SqliteSaver.from_conn_string(str(legacy_db)) as saver:
+            saver.setup()
+            rows = saver.conn.execute(
+                "SELECT task_id, task_path FROM writes"
+            ).fetchall()
+            assert rows == [("old-task", "")]
+
+
+@pytest.mark.parametrize("fresh", [True, False], ids=["fresh", "legacy"])
+def test_put_writes_persists_task_path(
+    tmp_path: Path, legacy_db: Path, fresh: bool
+) -> None:
+    db = tmp_path / "fresh.sqlite" if fresh else legacy_db
+    with SqliteSaver.from_conn_string(str(db)) 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_path FROM writes WHERE task_id = 'task-1'"
+        ).fetchall()
+    assert stored == [("~__pregel_pull, node",)]
+
+
+async def test_async_setup_migrates_legacy_writes_table_repeatably(
+    legacy_db: Path,
+) -> None:
+    for _ in range(2):
+        async with AsyncSqliteSaver.from_conn_string(str(legacy_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"
+            )
+
+    async with aiosqlite.connect(legacy_db) as conn:
+        async with conn.execute(
+            "SELECT DISTINCT task_id, task_path FROM writes ORDER BY task_id"
+        ) as cur:
+            assert await cur.fetchall() == [
+                ("old-task", ""),
+                ("task-1", "~__pregel_pull, node"),
+            ]

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

@@ -162,6 +162,13 @@ 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)`: the order `apply_writes` applied them in
+      live. `task_id` is a hash of the path, so ordering by it permutes
+      parallel tasks writing one channel, and reducers need not be
+      order-invariant. Writes stored without a `task_path` (graph input, or
+      rows predating the column) sort first.
     * `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
@@ -611,6 +618,11 @@ class BaseCheckpointSaver(Generic[V]):
         `PostgresSaver`) override for performance; the return contract is
         fixed here.
 
+        `PendingWrite` carries no `task_path`, so this default replays each
+        checkpoint's writes in `get_tuple`'s `pending_writes` order. Savers
+        that do not return `pending_writes` ordered by
+        `(task_path, task_id, idx)` must override it.
+
         Args:
             config: Configuration identifying the target checkpoint.
             channels: Channel names to walk for. Empty → empty mapping.

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

@@ -199,8 +199,8 @@ class InMemorySaver(
                     terminated_here.add(ch)
 
             step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
-                step_writes.items(), reverse=True
+            for _, (tid, ch, serialized, _) in sorted(
+                step_writes.items(), key=lambda kv: (kv[1][3], kv[0]), reverse=True
             ):
                 if ch not in remaining:
                     continue

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.32"
+__version__ = "0.4.31"

libs/cli/langgraph_cli/deploy.py

@@ -12,7 +12,6 @@ from collections.abc import Callable, Mapping, Sequence
 from contextlib import contextmanager
 from dataclasses import asdict, dataclass, field
 from datetime import datetime, timezone
-from functools import partial
 from typing import Protocol, TypeVar
 
 import click
@@ -1691,18 +1690,11 @@ OPT_HOST_URL = click.option(
 )
 
 OPT_AGENT_ID = click.option(
-    "--agent-id",
-    envvar="LANGSMITH_AGENT_ID",
-    show_envvar=True,
-    help="Logical agent ID (requires agent mode enabled for the tenant).",
+    "--agent-id", help="Logical agent ID (requires agent mode enabled for the tenant)."
 )
 
-OPT_AGENT_ENVIRONMENT = partial(
-    click.option,
-    "--agent-environment",
-    "environment",
-    envvar="LANGSMITH_AGENT_ENVIRONMENT",
-    show_envvar=True,
+OPT_AGENT_ENVIRONMENT = click.option(
+    "--environment",
     type=click.Choice(["development", "staging", "production"]),
     help="Agent environment (requires agent mode enabled for the tenant).",
 )
@@ -1806,9 +1798,7 @@ def _deploy_base_options(
             OPT_HOST_API_KEY,
             OPT_HOST_DEPLOYMENT_NAME,
             OPT_AGENT_ID,
-            OPT_AGENT_ENVIRONMENT()
-            if include_docker_args
-            else OPT_AGENT_ENVIRONMENT(type=str),
+            OPT_AGENT_ENVIRONMENT,
             click.option(
                 "--deployment-id",
                 help=(
@@ -1940,12 +1930,6 @@ def deploy(ctx: click.Context, **_: object):
     # otherwise, we return None here and click will proceed to actually run the subcommand (list or delete)
     if ctx.invoked_subcommand is not None:
         return
-    environment_param = next(
-        param for param in _deploy_cmd.params if param.name == "environment"
-    )
-    ctx.params["environment"] = environment_param.type_cast_value(
-        ctx, ctx.params["environment"]
-    )
     if (
         ctx.params.get("agent_id") is not None
         or ctx.params.get("environment") is not None
@@ -1998,14 +1982,13 @@ def _deploy_cmd(
     validate_deploy_commands(install_command, build_command)
     agent = None
     if agent_id is not None or environment is not None:
-        em.note("Note: --agent-id and --agent-environment flags are in private beta")
         if not agent_id or not agent_id.strip() or not environment:
             raise click.UsageError(
-                "--agent-id and --agent-environment are required together."
+                "--agent-id and --environment are required together."
             )
         if name is not None or deployment_id is not None:
             raise click.UsageError(
-                "--agent-id and --agent-environment cannot be combined with --name or --deployment-id."
+                "--agent-id and --environment cannot be combined with --name or --deployment-id."
             )
         agent = {"agent_id": agent_id, "environment": environment}
     if not config.exists():
@@ -2141,7 +2124,7 @@ def _deploy_cmd(
 @OPT_HOST_API_KEY
 @OPT_HOST_URL
 @OPT_AGENT_ID
-@OPT_AGENT_ENVIRONMENT()
+@OPT_AGENT_ENVIRONMENT
 @click.option(
     "--name-contains",
     default="",
@@ -2155,11 +2138,6 @@ def deploy_list(
     agent_id: str | None,
     environment: str | None,
 ) -> None:
-    if agent_id is not None or environment is not None:
-        click.secho(
-            "Note: --agent-id and --agent-environment flags are in private beta",
-            fg="yellow",
-        )
     if agent_id is not None and not agent_id.strip():
         raise click.UsageError("--agent-id must not be empty.")
     filters = {}

libs/cli/tests/unit_tests/test_deploy_agents.py

@@ -58,7 +58,7 @@ AGENT_ARGS = [
     "deploy",
     "--agent-id",
     "customer-support",
-    "--agent-environment",
+    "--environment",
     "staging",
     "--remote",
     "--no-wait",

libs/langgraph/tests/test_delta_channel_parallel_order.py

@@ -0,0 +1,83 @@
+"""`DeltaChannel` replay must apply parallel writes in the order `invoke` did."""
+
+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
+
+# Sorted, because live execution applies PULL tasks in node-name order.
+FAN_OUT_NAMES = ["a", "b", "c", "d", "e", "f", "g", "h"]
+
+
+def _append_reducer(current: list, updates: list) -> list:
+    return [*current, *(x for u in updates for x in u)]
+
+
+def _build_fan_out_graph(checkpointer: BaseCheckpointSaver) -> Any:
+    class State(TypedDict):
+        items: Annotated[
+            list, DeltaChannel(_append_reducer, list, snapshot_frequency=10_000)
+        ]
+
+    def make_node(label: str) -> Any:
+        return lambda state: {"items": [label]}
+
+    builder = StateGraph(State)
+    for name in FAN_OUT_NAMES:
+        builder.add_node(name, make_node(name))
+        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:
+    graph = _build_fan_out_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:
+    graph = _build_fan_out_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_state_history_reports_live_order_at_every_step(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    runs = 3
+    graph = _build_fan_out_graph(async_checkpointer)
+    config = {"configurable": {"thread_id": "1"}}
+    for _ in range(runs):
+        await graph.ainvoke({"items": []}, config)
+    live = FAN_OUT_NAMES * runs
+
+    seen = [
+        s.values["items"]
+        async for s in graph.aget_state_history(config)
+        if "items" in s.values
+    ]
+
+    assert max(map(len, seen)) == len(live)
+    for values in seen:
+        assert values == live[: len(values)], f"{values} is not a prefix of {live}"